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IT Support Engineer

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment. Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time. Responsibilities End-User Support - Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person - Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) - Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement - Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) - Handle escalations requiring cross-team coordination - Participate in an on-call rotation for urgent issues outside business hours - Provide hands-on support for user technology, AV systems, conference rooms, and printers Communication & Documentation - Communicate clearly with users of all technical levels - Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles - Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves Operational Improvement - Help streamline onboarding and other high-volume operations as the company scales - Contribute to automation efforts - Maintain and improve device management, identity, and access systems - Assist with scripting (Bash, Python) to automate repetitive tasks You may be a good fit if you - Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment - Are an excellent communicator who genuinely enjoys helping people solve problems - Have strong troubleshooting skills and are methodical, curious, and persistent - Demonstrated supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android - Have significant experience with Google Workspace administration - Have experience with Slack administration — workspace management, permissions, and troubleshooting - Have substantial experience supporting and administering additional SaaS tools - Understand identity and access fundamentals — SSO, MFA, directory services - Are familiar with MDM fundamentals and endpoint management concepts - Have experience with basic scripting (Bash or Python) for automation - Take ownership of problems and follow through until they're resolved - Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?" - Are organized enough to manage competing priorities without things falling through the cracks - Propose solutions when you see a process that doesn't scale - Are looking to develop deeper technical skills and take on more complex systems administration challenges over time Strong candidates may also - Be familiar with zero-trust security concepts and endpoint security tooling - Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals - Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns) - Have experience using AI tools to improve personal or team productivity Location This role is based in our Seattle or New York office and there is a 4 day/week in office expectation. What Makes This Role Unique You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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Enterprise Account Executive - Retail/CPG

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive, Retail/CPG based in Seoul, you'll drive the adoption of safe, frontier AI technology across Korea's retail, consumer goods, and consumer commerce organizations. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them optimize operations, personalize customer experiences at scale, and strengthen their competitive position with Anthropic's AI solutions. Key responsibilities - Own and exceed revenue targets by winning new major retail and CPG accounts and expanding existing relationships across Korea's department store and hypermarket groups, convenience store chains, e-commerce platforms, consumer goods manufacturers, and omnichannel brands - Build and execute territory plans, identifying high-value opportunities across retail conglomerates, specialty and duty-free retailers, beauty and fashion brands, food and beverage companies, and marketplace platforms - Lead consultative sales processes with senior executives, including CIOs, CDOs, CMOs, and heads of supply chain and e-commerce, positioning AI as a driver for demand forecasting, personalization, inventory optimization, and enhanced customer experience - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that integrate with existing retail and CPG technology stacks while meeting Korea's data privacy requirements under PIPA You may be a good fit if you have: - 8+ years of enterprise sales experience in Korea with significant exposure to retail and consumer goods accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach - A track record of managing complex sales processes and securing strategic deals with large-scale retailers and CPG companies by understanding the operational and technology challenges unique to Korea's retail landscape - Demonstrated ability to navigate retail and CPG stakeholder ecosystems, building alignment across merchandising, supply chain, digital, brand marketing, and customer experience teams with multiple budget authorities and approval layers - Proven experience exceeding revenue targets by effectively managing pipeline across seasonal retail cycles and the rapid decision-making cadence of consumer-facing businesses - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to identifying opportunities within Korea's retail and CPG sector combined with patient, relationship-focused execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit - Excellent communication skills in both Korean and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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Principal RTL Design Engineer

Negotiable

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the team The RTL design team builds the compute datapath, on-chip network, and memory subsystems inside SambaNova's RDU AI accelerator. Their work spans microarchitecture through tape-out, including RTL implementation, PPA trade-offs, quality gates like lint, CDC, and LEC, and timing closure with physical design. About the role SambaNova is looking for a Principal RTL Design Engineer to own the microarchitecture and RTL for our next-generation Reconfigurable Dataflow Unit (RDU), the silicon behind our AI acceleration systems. This is a senior individual contributor role where you'll take a block from microarchitecture specification through RTL, quality closure, and tape-out, owning the power, performance, and area trade-offs along the way. Frequency targets are aggressive, so how you pipeline a datapath and where you spend area to buy timing are essential aspects of the role. Responsibilities Some of your responsibilities will include: - Own the microarchitecture and RTL for a major block or subsystem of the RDU, from specification through tape-out, including the specs you write for complex blocks in compute, memory, or on-chip network subsystems - Write, integrate, and debug synthesizable SystemVerilog RTL through the full chip implementation and production lifecycle - Own PPA for your area, hitting aggressive frequency targets through datapath pipelining, retiming, and microarchitectural restructuring - Drive timing closure and design quality for your area: synthesis, STA, critical-path iteration, lint, CDC, LEC, and SystemVerilog Assertions capturing design intent - Partner with design verification to define verification intent and coverage for your block, and support debug of functional and gate-level failures - Work with architects and software teams to prototype and evaluate features that improve application-level performance - Drive AI, automation, and new EDA tool methodologies into the design flow - Set the technical bar in design reviews and mentor design engineers Required Qualifications - B.S. in Electrical Engineering, Computer Engineering, or Computer Science - 7+ years of industry experience in ASIC RTL design - Mastery of synthesizable SystemVerilog for high-speed, high-performance ASICs, including SVA to capture design intent - High-frequency design experience, including datapath pipelining, retiming, critical-path restructuring, and other microarchitectural techniques for hitting aggressive frequency targets - Deep foundation in computer architecture and digital logic design, including arbitration, flow control, clock domain crossing, and memory structures - Ownership of a complex block or subsystem from microarchitecture specification through tape-out on at least one production ASIC - Experience converging power, performance, and area against real physical constraints, including floorplan, congestion, and timing feedback from the physical design team - Hands-on experience with synthesis and static timing analysis, and with lint, CDC, and LEC quality flows - Demonstrated technical leadership without formal authority, including setting direction in design reviews, arbitrating microarchitecture decisions, and mentoring engineers - Scripting in Python for design and flow automation Preferred Qualifications - M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Science - Depth in one RDU domain: compute and dataflow datapath, on-chip network and interconnect, or memory subsystem - Industry-standard interconnects and protocols including AXI, PCIe, Ethernet, and HBM or DDR - AI and ML workload acceleration techniques, and dataflow or reconfigurable architectures - Formal property checking applied to design intent - Advanced TSMC nodes and multi-die or chiplet design - Performance modeling and analysis to support architectural trade-offs - Fluency with Claude or other AI tools applied to RTL design and flow development Base Salary Range: Base Pay Range $180,000 - $255,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

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Cloud Platform Architect

Negotiable

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the team The Cloud Platform team owns the production inferencing service that serves SambaNova's models to customers on RDU accelerators, including capacity planning, deployment, monitoring, and incident response across regions in the United States, Asia, Europe, and Latin America. About the role The Cloud Operations team is seeking an experienced engineering leader to scale the platform our internal and external customers use to access SambaNova RDUs. Responsibilities In this role, you'll architecting our next-generation system from the ground up, running the Kubernetes infrastructure that powers some of the most advanced AI workloads in the industry, and bridging multi-cloud and on-prem environments in ways no generic SaaS company can offer. Your work will directly impact the productivity of every engineer at SambaNova and by extension, the speed at which we ship the future of AI computing. Some of your responsibilities include: - Architect, build, and maintain our next-generation internal developer platform, automating and streamlining our cloud and on-prem infrastructure - Design, write, and manage Terraform modules to provision and manage resources across AWS, GCP, and Azure, ensuring consistency and reproducibility - Build and manage highly available, secure, and performant Kubernetes clusters that serve as the primary runtime for our diverse AI workloads - Design and implement robust networking solutions (VPCs, load balancers, firewalls, service meshes) that seamlessly connect our multi-cloud and hybrid environments - Collaborate with AI and software engineering teams to understand their needs, provide golden paths to production, and build internal tools that accelerate their development cycles - Implement best practices for observability (monitoring, logging, tracing) to ensure system reliability and performance, and participate in on-call rotation Required Qualifications - 7+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles - Proficiency in at least one programming language (e.g., Python, Go, Rust) - Expertise with Kubernetes (EKS, GKE, or self-managed) in production environments - pods, operators, CRDs, CNIs, etc. - Expertise with Infrastructure as Code with the ability to manage complex, multi-cloud environments - Strong proficiency with at least one major cloud provider (AWS, GCP, or Azure), with a solid understanding of the core services (compute, storage, networking, IAM) - Networking fundamentals (TCP/IP, DNS, HTTP, load balancing) and security best practices in the cloud Preferred Qualifications - Experience in a hybrid environment bridging cloud and on-premise/data center infrastructure - Experience managing infrastructure for data-intensive or ML/AI workloads - Knowledge of building and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, ArgoCD) - Experience with service mesh technologies (e.g., Istio, Linkerd) - Contributions to open-source projects or a public portfolio of code (GitHub) Base Salary Range: Base Pay Range $245,000 - $325,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

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Technical Program Manager (Homeland Layered Defens...

Negotiable

Scale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland. You will: - Own technical execution for one or more national security mission areas from initial requirement through deployment and formal evaluation - Translate operational workflows into detailed Product Requirements Documents (PRDs), Engineering Requirements Documents (ERDs), and executable engineering work - Work alongside engineers during cycle planning to define scope, sequencing, architecture constraints, dependencies, and milestones - Maintain end-to-end requirements traceability from customer objective to software build, test event, and formal deliverable - Drive Jira/GitLab execution and provide accurate inputs into integrated master schedules and program-level planning - Understand and manage data availability, system architecture, integration dependencies, and technical constraints across high-side networks - Identify technical blockers early, own their resolution, and immediately escalate critical risks when required - Partner with subcontractors and external engineering teams where applicable, defining interfaces, deliverables, handoffs, and accountability - Communicate technical progress, risks, tradeoffs, and decisions clearly to both engineering teams and senior customer stakeholders Must haves: - Active TS/SCI clearance - 5+ years of experience in technical program management, software engineering, systems engineering, product management, technical consulting, or a related technical delivery role - Strong technical literacy across software architecture, APIs, data systems, system integration, and AI/ML-enabled products - Ability to write detailed technical and product requirements that engineering teams can directly execute against - Experience driving complex technical programs across multiple engineering and stakeholder groups - Strong understanding of program management fundamentals, including requirements traceability, dependencies, risks, schedules, and deliverables - Ability to reason about data availability and software integration constraints in secure or highly regulated environments - Comfort working extensively inside secure facilities and air-gapped government systems - Willingness to travel 25–50% for onsite engagements, integration work, user testing, briefings, and formal evaluation events We have a diverse team with a variety of skill sets, many have: - A technical degree in computer science, engineering, mathematics, physics, data science, or a related field - Proficiency in Python, SQL, or another programming language - Prior experience as a software engineer, systems engineer, solutions architect, or technical product manager - Experience building or deploying AI/ML and agentic systems on classified networks Candidates may align to one or more of the following mission areas depending on background, customer need, and program assignment: - Indications & Warning (I&W) — Defense intelligence cycles, warning frameworks, JIOC/watch-floor operations, and multi-INT analysis - Dynamic Planning — Combatant Command decision-making, Joint Planning Process, homeland defense, and battle-staff operations - Non-Kinetic Effects Integration — Electromagnetic warfare, cyber, space, EMSO, and integration of non-kinetic effects into joint targeting - Modeling & Simulation — Constructive simulation, force-on-force analysis, synthetic data, and AI behavior representation - Sensor Orchestration — Sensor tasking, collection management, multi-INT strategies, and sensor-to-shooter workflows - Dynamic Agentic IAMD Planning — Integrated Air and Missile Defense, weapon-target pairing, threat profiles, ROE, and agentic defensive planning - Adversary Test Data Integration — High-side intelligence data sources, government repositories, security approvals, and data integration - Agentic RoL Track Trajectory Prediction — Multi-sensor track fusion, state estimation, trajectory prediction, and agentic analysis of real-time track data - Object Custody — F2T2EA targeting, target custody, sensor coverage, and partner/subcontractor integration - Cross-Domain Solutions (CDS) — Cross-domain data transfer, accreditation, Raise-the-Bar standards, and movement of AI/ML capabilities across security boundaries Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $166,400 - $249,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Engagement Manager (Homeland Layered Defense), Pub...

Negotiable

Scale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland. You will: - Own customer relationships across the account, from senior government leaders and program offices to analysts and operational users - Build structured user-engagement programs that reach the operators and analysts using Scale’s products day-to-day - Work alongside customers to translate operational workflows and mission problems into well-defined AI and agentic workflow use cases - Lead cross-functional teams across engineering, product, operations, security, and government stakeholders to deliver on customer objectives - Plan and execute customer engagement weeks, user testing events, demonstrations, briefings, and other onsite activities - Drive adoption of Scale capabilities in operational environments, incorporating user feedback into product requirements and delivery priorities Must haves: - Active TS/SCI clearance - 5+ years of experience in technical program management, software engineering, systems engineering, product management, technical consulting, or a related technical delivery role - Demonstrated ability to build trust with both senior executives and hands-on operational users - Experience translating complex customer workflows into structured technical or product requirements - Strong technical fluency and the ability to hold credible conversations with engineering and product teams about AI, software systems, data, and agentic workflows - Excellent written and verbal communication skills, including the ability to communicate effectively with senior government leaders - Comfort working extensively inside secure facilities and air-gapped government systems - Willingness to travel 25–50% for onsite engagements, testing events, briefings, and customer meetings We have a diverse team with a variety of skill sets, many have: - Prior military or civilian experience inside a Combatant Command, Numbered Air Force, Air Operations Center, Joint Intelligence Operations Center, or Intelligence Community agency - Experience deploying software into a live operational center or watch floor - Experience writing Product Requirements Documents and translating operator workflows into software requirements - Familiarity with Joint Planning, intelligence, targeting, integrated air and missile defense, modeling and simulation, or related mission areas - Experience supporting formal government test and evaluation events Candidates may align to one or more of the following mission areas depending on background, customer need, and program assignment: - Indications & Warning (I&W) — Defense intelligence cycles, warning frameworks, JIOC / watch-floor operations, and multi-INT analysis - Dynamic Planning — Combatant Command decision-making, Joint Planning Process, homeland defense, and battle-staff operations - Non-Kinetic Effects Integration — Electromagnetic warfare, cyber, space, EMSO, and integration of non-kinetic effects into joint targeting - Modeling & Simulation — Constructive simulation, force-on-force analysis, synthetic data, and AI behavior representation - Sensor Orchestration — Sensor tasking, collection management, multi-INT strategies, and sensor-to-shooter workflows - Dynamic Agentic IAMD Planning — Integrated Air and Missile Defense, weapon-target pairing, threat profiles, ROE, and agentic defensive planning - Adversary Test Data Integration — High-side intelligence data sources, government repositories, security approvals, and data integration - Agentic RoL Track Trajectory Prediction — Multi-sensor track fusion, state estimation, trajectory prediction, and agentic analysis of real-time track data - Object Custody — F2T2EA targeting, target custody, sensor coverage, and partner/subcontractor integration - Cross-Domain Solutions (CDS) — Cross-domain data transfer, accreditation, Raise-the-Bar standards, and movement of AI/ML capabilities across security boundaries Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $166,400 - $249,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Principal Post-Silicon Validation Engineer

$999,999

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the team div]:bg-bg-000/50 [&_pre>div]:border-0.5 [&_pre>div]:border-border-400 [&_.ignore-pre-bg>div]:bg-transparent [&_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-[var(--msg-text-inset,0.5rem)] [&_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-[var(--msg-text-inset,0.5rem)] [&_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8"> _*]:min-w-0 gap-3 [&_>_*:last-child]:mb-0 print:block print:[&_>_:where(:not(:first-child))]:mt-3 standard-markdown"> The Post-Silicon Validation team bring up and validate the high-speed IO and memory subsystems inside SambaNova's DataScale platform, including PCIe, Ethernet, HBM, CXL, and UCIe interfaces. The team owns the path from first silicon power-on through field deployment: characterization, stress testing, performance validation, and root-causing issues that span silicon, board, and software. We work directly with design, firmware, verification, and system engineering to keep bring-up on schedule and sign off on validation before product releases. About the role SambaNova is seeking a Principal Engineer to own post-silicon bring-up, debug, and validation of high-speed IO and memory subsystems within the DataScale® platform. This role is central to delivering reliable, high-performance AI systems at scale. You will lead system-level debug across silicon, board, and software layers, driving issues to root cause from first silicon through field deployment. This is a hands-on role for an engineer with deep expertise in high-speed interfaces and hardware debug, who can operate in ambiguity and execute with high ownership. Responsibilities Some of your responsibilities will include: - Own post-silicon bring-up and validation of high-speed IO and memory subsystems, spanning characterization, functional validation, stress testing, and performance analysis - Establish power-on readiness ahead of first silicon, including debug infrastructure, tooling, and contingency planning - Lead system-level debug to root cause complex issues spanning silicon, board, and software layers - Drive resolution with design, firmware, verification, and system teams to close issues and keep bring-up on schedule - Partner with system and customer engineering teams on product validation, deployment, and RMA debug - Own validation sign-off for product release against stability, performance, and field reliability targets - Review SoC and board design and SI/PI analysis through a post-silicon debug and deployment lens - Contribute to pre-silicon verification and emulation to improve bring-up efficiency and coverage - Build scripts and tooling that automate validation, debug, and data analysis, and scale test coverage across systems - Advance post-silicon validation methodology and debug infrastructure across programs Required Qualifications - M.S. in Electrical Engineering, Computer Science, or a related field - 7+ years of experience in post-silicon validation or system bring-up - Experience with two or more high-speed IO or memory protocols such as PCIe, Ethernet, HBM, CXL, or UCIe - Proven ability to lead cross-functional debug efforts to root cause and closure - Strong analytical skills for test development and data analysis - Proficiency in scripting such as Python and bash - Clear and effective communicator with a proactive, collaborative approach to problem-solving Preferred Qualifications - Deep understanding of high-speed SerDes training and adaptation - Experience with mixed-signal IO design and validation - Hands-on lab experience with oscilloscopes, protocol analyzers, and BERTs - Experience with optical interconnect - Ability to read and debug C/C++ Base Salary Range: Base Pay Range $1 - $999,999 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

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Principal Cloud Platform Engineer

Negotiable

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the team The Cloud Platform team owns the production inferencing service that serves SambaNova's models to customers on RDU accelerators, including capacity planning, deployment, monitoring, and incident response across regions in the United States, Asia, Europe, and Latin America. About the role As a Cloud Platform Engineer you'll keep our AI inferencing platform reliable, fast, and scalable. Your focus is uptime, latency, and resource utilization on the inference endpoints customers depend on. The work spans monitoring, deployment, capacity planning, and incident response, and includes a shared on-call rotation covering 24/7 coverage. Responsibilities Some of your responsibilities will include: - Owning the availability, latency, and efficiency of the production inferencing service, including change management, emergency response, and standing up AI infrastructure in new regions - Building and maintaining monitoring, alerting, and dashboards in Prometheus, Grafana, and Datadog covering service health, model latency and throughput, and RDU utilization - Leading incident response, running blameless post-mortems, and automating the toil those incidents expose - Finding and fixing performance bottlenecks, and designing auto-scaling policies that handle variable inference load without overspending - Managing cloud and on-prem infrastructure as code in Terraform and Ansible, and building the CI/CD pipelines that deploy new model versions and service updates Required Qualifications - B.S. in Computer Science, Computer Engineering, or related field, or equivalent practical experience - 3+ years in a Site Reliability Engineering, DevOps, or related role supporting a large-scale, customer-facing service in a public cloud environment (AWS, GCP, Azure) - Strong programming and scripting skills in Python, Go, or Java - Production experience with Docker and Kubernetes - Deep understanding of monitoring and observability tooling such as Prometheus, Grafana, Datadog, or the ELK Stack - Experience with infrastructure as code using Terraform or CloudFormation - Experience with CI/CD tooling such as Jenkins, GitHub Actions, or ArgoCD - Strong Linux system administration fundamentals Preferred Qualifications - Experience in a hybrid environment spanning cloud and on-premise data center infrastructure - Experience supporting ML or AI inferencing services in production - Familiarity with GPU-accelerated computing and optimizing workloads for NVIDIA GPUs, for purposes of mapping to RDUs - Knowledge of model serving frameworks such as vLLM, SGLang, or Ray - Experience managing and tuning databases (SQL or NoSQL) and caching systems such as Redis or Memcached Base Salary Range: Base Pay Range ₹6,000,000 - ₹8,000,000 INR Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

R

Deployment Strategist

Negotiable

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE *Open to hiring remote across the US and London— we also have offices in NYC, San Francisco, Seattle, and London We are looking for a highly-motivated senior IC who will work with some of Runway’s biggest and most strategic partners. You will be central to our partners’ success in adopting Runway to transform the ways they create content. Success in this role will require a mix of technical fluency, strategic thinking, and hands-on execution. WHAT YOU’LL DO - Own deep, trusted C-suite level relationships with Runway's most strategic partners (from Hollywood studios to Fortune 100 enterprises) ensuring they're not just customers, but long-term partners at the frontier of AI-driven creativity and innovation - Be in the room where it happens: collaborating directly with world-class creative teams at the biggest Hollywood studios, brands, and F100 companies to co-create Emmy award-winning shows, Oscar-winning movies, Super Bowl commercials, and cultural moments that define a generation - Operate as a strategic thought partner internally: codifying the use cases we know work today while pioneering the ones that don't exist yet, and translating both into initiatives that shape Runway's product strategy and industry positioning - Get embedded within accounts to learn and understand their (content) pain points and challenges today, then propose discrete ways in which Runway can solve those challenges - Identify and prototype specific and highly targeted new markets and new opportunities for our products - Develop a deep, functional and technical understanding of our products and future roadmap - Be hands-on in quickly onboarding new partners to our platform and/or API while also supporting their long-term expansion and technical understanding of how to leverage Runway - Provide high-impact feedback to Product, Engineering, and Creative which can in turn improve the product experience for our partners - Analyze, track, and report on the performance of existing partnerships leveraging BI tools and data WHAT YOU’LL NEED - 5+ years of overall experience in customer-facing roles, engaging C-level technical audiences with complex global organizations ideally within tech, finance, or consulting - Have led complex implementations of Generative AI/traditional ML solutions and can drive measurable business outcomes - Ability to work in a fast-paced, dynamic environment and manage multiple priorities with expansive ownership and ruthlessly prioritize - A strong bias towards action and belief that no task is too small for you - Have a track record of rapidly prototyping ideas and a willingness to work iteratively with your customers to deliver the right solution that solves their problem - Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders - High technical aptitude for understanding complex technologies, tools, systems, and issues - Mindset to think creatively and think beyond past checklists and playbooks - Highly resourceful with the ability to create structure and work autonomously amidst ambiguity - Nice to have but not required: experience with data tooling and BI systems (SQL, BigQuery, Retool, etc) - New York, SF, or London-based preferred Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

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Safety & Security Counsel, EMEA

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Safety & Security Counsel, EMEA, you will serve as the first-line legal advisor counseling on the full arc of keeping Claude and Anthropic safe and secure: usage policy design and enforcement frameworks, safeguards R&D, misuse detection and response, sensitive escalations, threat intelligence, security incident response, product-related safety and security matters, and the company's safety and security-related regulatory and policy engagement. The issues are increasingly interdisciplinary and novel, and you will frequently be the one ideating and building a legally-relevant framework rather than simply applying one. Depending on interest and experience, you will own and shape an ever-growing portfolio of issue areas across Safeguards and Security. You will also contribute to the team's capacity building efforts, including by leveraging Claude. You will work collaboratively with other legal functions on cross-functional initiatives. This is an excellent opportunity for an experienced attorney who wants to do high-stakes, first-of-its-kind work at the center of responsible AI development and deployment, and to grow as a strategic product counsel and trusted crisis counselor in a fast-moving environment. Key responsibilities - Partner with Safeguards (trust & safety) policy teams on the design and iteration of usage policies across harm areas (e.g., CBRNE, cyber, user wellbeing, scaled abuse and influence operations, and distillation), including how policies translate into detection and enforcement. - Advise on policy enforcement frameworks such as account actions, appeals, enforcement systems and thresholds. - Counsel on sensitive escalations and strategic response, including matters involving governments, law enforcement, regulators, and the press. - Advise on safety and security threat intelligence investigations, bug bounty and red-team programs, and internal and external safety and security testing arrangements. - Support safeguards and security engineering, ML, and data science teams on building new tooling and detection mechanisms, including as it relates to data governance and privacy related considerations. - Serve as a first-line legal contact for safety and security incidents, providing real-time guidance during incident response and assessing notification and reporting obligations under applicable legal frameworks and contractual commitments. - Build and maintain crisis management playbooks, escalation protocols, and self-serve legal guidance to enable legal resource scaling. - Stay abreast of key policy and regulatory developments in AI safety and security, and policy-specific domains across relevant jurisdictions, and translate them into practical guidance for our evolving product suite. Minimum qualifications - Qualification to practice law in England & Wales, or another relevant jurisdiction - Experience advising on fast-moving, high-stakes matters such as investigations, regulatory matters, crisis management, or enforcement work - Working knowledge of at least one of: trust & safety, cybersecurity, privacy, or platform regulation - Legal drafting and writing skills demonstrated through policies, playbooks, escalation protocols, or written guidance for non-legal audiences - Technical fluency sufficient to understand system architecture, data flows, and AI model behavior - Experience coordinating multi-stakeholder responses to time-sensitive matters and translating legal analysis into clear actionable steps for technical and executive audiences Preferred qualifications - 8+ years of relevant legal experience - In-house (product counsel) experience at a technology company working on security and/or trust & safety issues, or law firm experience advising tech clients on regulatory investigations or enforcement matters - Experience with content moderation, platform safety (including user wellbeing issues), and crisis management - Facility working with very technical teams, including machine learning, safety and security research, infrastructure, and threat intelligence - Familiarity with AI systems and machine learning concepts, or experience advising on novel technology products - Strong judgment about risk assessment and decision-making under uncertainty - A low-ego, hands-on working style and a commitment to doing right by users and the people affected by misuse of AI systems Application Deadline: 6pm PT on Friday September 11, 2026. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration. Role-specific policy: For this role, we expect all staff to be able to work from our London office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £165,000 - £205,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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Senior Software Engineer — Infra Agent Systems Rem...

Negotiable

About the Role Together AI runs one of the largest GPU fleets in the world. The Infra Agent Systems team builds the software systems that power and automate that infrastructure. We develop production AI agents that diagnose hardware failures, investigate incidents, correlate signals across the fleet, and automate operational workflows. Alongside these agents, we build the platform they run on, including knowledge graphs, retrieval systems, orchestration frameworks, and developer tooling. You’ll work across two areas: Infrastructure Agent Systems — Build production AI agents that help operate our GPU fleet by diagnosing failures, investigating incidents, gathering evidence from live systems, and assisting with remediation. These agents are used every day by our infrastructure and datacenter teams through APIs, CLI, dashboards, and Slack. Core Agent Platform — Build the platform that powers these agents, including knowledge graphs, search and retrieval, orchestration, evaluation, and the tooling that enables agents to reason, act, and continuously improve. We’re working on something that hasn’t really been done before: building knowledge graphs and self-improving AI agents that understand, operate, and continuously improve large-scale AI infrastructure. This is an opportunity to work at the intersection of AI agents, distributed systems, infrastructure, and automation , solving challenging engineering problems with real production impact. There’s an enormous amount to build, learn, and shape as we define the future of autonomous infrastructure. responsible for delivering the software but also for operating and supporting it in production. Why this Role You’ll work on two hard problems at the same time: making AI agents trustworthy enough to operate production infrastructure, and building the knowledge, retrieval, and distributed systems that make those agents effective. You’ll have the opportunity to build foundational systems from the ground up, work on infrastructure at massive scale, and help define how self-improving AI agents operate real-world AI infrastructure. Remote based in India Responsibilities - Design and build production AI agent systems that diagnose, investigate, and remediate infrastructure issues across one of the world’s largest GPU fleets. - Build the distributed services, orchestration framework, knowledge graph, and retrieval systems that power infrastructure agents. - Develop fleet intelligence systems that combine telemetry, infrastructure state, operational knowledge, and historical incidents to help agents make better decisions. - Integrate with observability, incident management, ticketing, fleet inventory, source control, chat, and internal infrastructure systems through well-designed APIs. - Own services end to end, including architecture, implementation, testing, deployment, observability, and production operations. - Improve agent performance through evaluations, retrieval improvements, better tools, and production feedback loops. - Turn what agents learn in production into reliable, reviewed software and automation. Requirements - 5+ years of experience building production backend systems, distributed systems, or infrastructure platforms. - Strong systems design skills and experience owning significant systems from design through production. - Depth in at least one of the following: - AI agent systems, orchestration, tool use, evaluation, or grounding - Knowledge graphs or graph data modeling - Search, retrieval, ranking, RAG, or semantic search systems - Strong backend engineering experience, including API design, service boundaries, data modeling, and integrations across complex systems. - Experience with Kubernetes, GitOps such as ArgoCD, infrastructure-as-code, and cloud platforms. - Comfortable working across languages such as Go, TypeScript, Python, or Rust. Experience in the following is a plus: - GPU infrastructure, datacenters, bare-metal systems, hardware failure modes, BMC/IPMI, or cluster schedulers - Graph databases - Event-driven systems and messaging platforms such as NATS or Kafka - Observability platforms such as Prometheus and Grafana - Building evaluation frameworks or improving the quality and reliability of LLM-powered systems About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

S

Customer Success Manager

Negotiable

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. Job Description: Customer Success Manager The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. We help enterprises and service providers host their own AI inference platforms, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture. Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. SambaNova is hiring a Customer Success Manager for our SambaStack based product portfolio. As a Customer Success Manager, you will be the strategic partner to our most important enterprise customers, guiding them from onboarding through full-scale AI deployment. You will own the post-sales relationship, ensure customers extract maximum value from SambaNova's full-stack AI platform, and drive expansion across their organizations. Responsibilities: - Own the post-sales relationship for a portfolio of enterprise accounts, serving as the primary point of contact from onboarding through renewal and expansion. - Build tailored success plans aligned to each customer's AI adoption goals — translating their business objectives into measurable outcomes with SambaNova's platform. - Lead onboarding and go-live efforts, coordinating with Solutions Engineering, Professional Services, and Product teams to ensure smooth deployments. - Monitor adoption metrics and platform utilization; proactively identify churn risks and build mitigation plans in partnership with the account team. - Drive upsell and cross-sell opportunities by demonstrating expanding business value and introducing customers to new use cases across departments. - Act as the voice of the customer internally — synthesizing feedback on product gaps, feature requests, and roadmap priorities for the Product and Engineering teams. - Deliver executive business reviews (EBRs) showcasing ROI, usage trends, and strategic recommendations for deeper AI adoption. - Partner with Sales, Solutions Engineering, and Marketing to develop customer advocacy programs, case studies, and reference accounts. - Qualification: - 5–10+ years in Customer Success, Technical Account Management, or related enterprise-facing roles, ideally in AI/ML infrastructure, cloud computing, or deep-tech hardware or software. - Demonstrated ability to manage complex, multi-stakeholder accounts and build executive-level relationships with technical and business audiences. - Working knowledge of AI/ML workflows, large language models (LLMs), or HPC infrastructure — enough to credibly engage with data science and ML engineering teams. - Proven track record of driving adoption, retention, and expansion within a technical enterprise product. - Excellent project management skills with the ability to manage multiple priorities and coordinate across internal teams in a fast-moving environment. - Strong written and verbal communication skills; able to distill complex technical concepts for both executive and practitioner audiences. - Bachelor's degree or equivalent experience in a technical or business field. Bonus qualifications: - Experience with AI accelerators or GPUs - LLM fine-tuning or inference knowledge - Familiarity with Sambanova products or similar MLOps platforms - Enterprise SaaS or PaaS background - MBA or advanced technical degree Base Salary Range: Base Pay Range £94,500 - £115,000 GBP Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

A

Applied AI Architect, Industries

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Native or C1 German speaker with fluent English proficiency - Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Comfortable with python - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

S

Forward Deployment Engineer

Negotiable

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About SambaNova Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. We help enterprises and service providers host their own AI inference platforms , powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture . Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale. SambaNova is hiring a Forward Deployed Engineer (FDE) for our SambaStack based product portfolio in our Customer Success Organization. Responsibilities: - Embed directly with strategic enterprise customers to design, build, and deploy production GenAI applications on SambaNova's SN40L platform and SambaStack based product portfolio - Architect and implement LLM-powered workflows — including RAG pipelines, multi-agent systems, fine-tuning workflows, and coding solutions — tailored to each customer's data, infrastructure, and business goals. - Optimize AI inference performance on SambaNova hardware; benchmark model throughput, latency, and accuracy against customer requirements and competitor baselines. - Troubleshoot and resolve production issues end-to-end across model, software, and hardware layers — acting as the first and last line of technical escalation in the field. - Translate customer needs into clear product requirements and engineering feedback; serve as the primary voice of field reality to SambaNova's Product and Engineering teams. - Partner with Account Executives and Solutions Engineers to shape technical sales strategy, scope engagements, and demonstrate platform differentiation during evaluations and proof-of-concepts. - Develop reusable accelerators, reference architectures, and internal playbooks that scale learnings from one deployment to many. - Present technical findings, architecture decisions, and roadmap input at customer executive briefings and internal forums; represent SambaNova at industry conferences and events. Qualifications: - 5+ years of hands-on engineering experience, with a strong record of shipping production AI/ML systems. - Deep expertise in GenAI application development: LLM orchestration, RAG, agentic frameworks (LangChain, LlamaIndex, DSPy), prompt engineering, and evaluation pipelines. - Strong foundations in ML fundamentals — model training, fine-tuning, inference optimization, quantization, and performance benchmarking. - Proficiency in Python (required); working knowledge of C++ or CUDA a strong plus for hardware-layer debugging. - Experience deploying AI workloads on cloud infrastructure (AWS, Azure, GCP) and familiarity with containerization, orchestration (Kubernetes, Docker), and MLOps tooling. - Comfortable engaging directly with customers: able to run technical discovery, set expectations, push back constructively, and present to executive and practitioner audiences alike. - Bachelor's or graduate degree in Computer Science, Electrical Engineering, Mathematics, Physics, or equivalent practical experience. - Willingness to travel up to 50% to customer sites — flexible based on engagement needs. Bonus qualifications: - Experience with AI accelerators or custom silicon (TPUs etc.) - CUDA / low-level GPU programming - Familiarity with VLLM / SGLang - Enterprise AI deployments in regulated industries Base Salary Range: Base Pay Range ₹3,323,700 - ₹4,062,300 INR Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

S

Staff Machine Learning Engineer, Financial Connect...

Negotiable

Who we are About the team Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal financial management. Across the Financial Connections Engineering org, we focus on delivering high-quality, enriched bank data at scale — building the ML systems that transform raw financial data into actionable signals for both internal Stripe teams and external merchants. Our ML work spans transaction categorization, risk scoring, data enrichment, and the development of intelligent systems that improve data quality across our network. We operate at the intersection of fintech infrastructure and applied machine learning, solving problems that directly impact Stripe's ability to serve millions of businesses and consumers. What you'll do We're looking for machine learning engineers who want to build intelligent systems that provide financial data at scale. You'll play a key role in designing, training, and deploying ML models that improve the quality, accuracy, and usefulness of financial data across Stripe's ecosystem. Responsibilities - Design, build, train, evaluate, deploy, and own ML models in production that improve transaction categorization, risk scoring, and data enrichment across Financial Connections - Design and build large-scale ML systems that operate on diverse financial data from thousands of institutions - Experiment and iterate on ML models (using tools such as PyTorch, TensorFlow, XGBoost) to achieve key business goals around data quality and accuracy - Develop pipelines and automated processes to train and evaluate models in offline and online environments - Integrate ML models into production systems and ensure their scalability and reliability - Collaborate with product, data science, and engineering partners across Stripe to identify opportunities where ML can improve outcomes for merchants and consumers - Engage with the latest ML/AI developments and take calculated risks in transforming innovative ideas into productionized solutions - Mentor engineers and contribute to a strong ML engineering culture within the team Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 10+ years of industry experience building and shipping ML systems in production - Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark - Hands-on experience in designing, training, and evaluating machine learning models - Hands-on experience in productionizing and deploying models at scale - Hands-on experience in orchestrating data pipelines and efficiently leveraging large-scale datasets - Strong collaboration skills and the ability to work across teams and contribute to peers' success - Ability to thrive with a high level of autonomy and responsibility and an entrepreneurial mindset Preferred qualifications - MS or PhD degree in ML/AI or a related field (e.g., math, physics, statistics, computer science) - Experience in fintech, open banking, or financial data domains - Experience with NLP, LLMs, or text classification at scale - Experience in adversarial or noisy-data domains such as fraud detection, risk modeling, or data quality - Proven track record of building and deploying ML systems that have effectively solved ambiguous business problems - Experience with deep learning architectures, including transformers

C

Customer Engineer, Korea

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Seoul, South Korea, Singapore What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

C

Customer Engineer, ASEAN

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Singapore What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

C

Principal Customer Engineer (based in Canberra)

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Canberra , Australia About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking and Developer Platforms). - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. - Strategic Alignment: Own the long-term technical relationship across the entire customer lifecycle, ensuring continuous alignment between the customer’s evolving business goals and our product roadmap. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - AI Orchestration & Workflow Automation: Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Technical Acumen: Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Strongly Preferred Qualifications (The "Good-to-Haves") - Cloudflare Developer Stack Experience: Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI and AI Gateway. - Applied AI Knowledge: Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. - Coding/Scripting: Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

F

Engineering Manager - Data Science Team

Negotiable

500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We’re hiring a Data Science Lead in London to build and lead our Predictive Growth Optimisation team – pioneering ML models that power our user acquisition strategy, predict lifetime value, and optimise our $25M+ annual marketing spend across channels. This role owns the strategy, development, and continuous improvement of Flo’s pLTV system - a mission-critical model reused across UA, AdTech, personalisation, and financial forecasting. That is the core of the role. Alongside it, you'll stand up a Marketing Mix Modeling (MMM) capability to measure cross-channel effectiveness and inform budget allocation, and develop the algorithms to drive real-time UA campaign management. You'll lead a team building production systems that directly impact our growth trajectory, staying as hands-on as you choose. What you’ll do - Lead & develop a team of 6+ ML and Backend engineers - hiring, mentoring, and setting technical direction - Own pLTV strategy - architect and evolve our core predictive lifetime value models that inform millions in UA decisions - Stand up MMM - build our Marketing Mix Modeling capability: adstock and saturation modelling, channel contribution, and budget allocation, calibrated against our incrementality experiments - Power real-time campaign management - develop the algorithms that optimise our UA campaigns across channels in real time - Build production ML systems - from real-time prediction services handling millions of daily predictions to MMM models - Drive cross-functional impact - partner with Growth, Product, and Finance to translate business problems into ML solutions - Shape technical architecture - guide MLOps infrastructure, monitoring, and rapid iteration cycles - Stay as hands-on as you choose - modeling, architecture decisions, technical problem-solving; your call how deep you go. What you bring Technical Leadership - 7+ years applied ML experience building and deploying models in production - 4+ years managing technical teams (ML engineers, data scientists, or similar) - Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series; strong grounding in causal inference - Experience with modern ML frameworks (TensorFlow, scikit-learn, CatBoost) Growth & Product Experience - Experience with growth analytics, attribution modeling, or marketing effectiveness - Understanding of user acquisition funnels and retention optimization - Comfortable translating business requirements into technical roadmaps - Strong communication skills - can explain complex models to executive stakeholders Production ML Systems - Experience deploying ML models at scale - Knowledge of MLOps practices: model versioning, monitoring, automated retraining - Understanding of data engineering fundamentals and cloud platforms Nice to have - Hands-on experience building Marketing Mix Models end to end, Bayesian or regression based - Background in consumer tech, mobile apps, or health tech - Knowledge of privacy-preserving ML techniques and A/B testing methodology How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: - Competitive salary and annual reviews - Opportunity to participate in Flo’s performance incentive scheme - Paid holiday, sick leave, and female health leave - Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents - Accelerated professional growth through world-changing work and learning support - In-person collaboration and work in a hybrid model, with 3 days per week spent in the office - 5-week fully paid sabbatical at 5-year Floversary - Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

R

Senior Data Scientist, Consumer Apps

Negotiable

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers. WHY Consumer Apps? Roblox is used by tens of millions of people every day across a wide range of devices, including mobile, desktop, console, TV, and VR. The Consumer Apps team owns the app foundation that makes Roblox feel fast, fluid, and reliable for players and is dedicated to delivering superior performance, reliability, and user experience across all platforms Roblox supports. This team ensures a seamless and engaging user interface that facilitates intuitive interactions while enabling efficient, high-quality experiences across devices. Innovation is at the core of our work, as we continuously enhance features and integrate cutting-edge technologies to solve complex problems. As a Data Scientist on the team, you will help accelerate Roblox’s growth by shaping how we launch and optimize Roblox across the diverse device ecosystems where people connect, play, and co-experience. You will partner with Mobile, Desktop, Console, and emerging-platform teams to identify opportunities and develop platform-specific strategies that make Roblox feel best-in-class on every device. You will use data to guide investments across platform expansion, platform-specific product experiences, and ecosystem partnerships. You will develop measurement and experimentation frameworks to understand both the direct and broader ecosystem impact of these investments, helping teams identify growth opportunities, make informed tradeoffs, and continuously improve the Roblox experience while expanding universal access. You Will: - Identify high-potential platform levers and apply causal methods to understand their impact on user behavior, engagement, monetization, and other topline outcomes, translating these insights into platform-specific strategies. - Develop deep expertise in the unique dynamics of each platform — including how the product is experienced, how user cohorts differ, and what drives their behavior — and proactively bring this perspective to broader research and cross-functional decision-making to identify opportunities and explain differences in product and business outcomes. - Build visibility into platform-level business performance and establish growth targets informed by internal data, market research, and competitive insights. - Design and analyze experiments to evaluate product launches, inform iteration, and drive rigorous, data-informed product decisions. - Advance how we measure product impact by developing innovative measurement and causal inference approaches where traditional A/B testing is not feasible, expanding the range of platform investments we can evaluate with rigor and confidence. - Elevate data and experimentation rigor across the broader team by building scalable frameworks and practices around experiment design, success metrics, launch criteria, and launch readiness — helping teams launch confidently and consistently. - Build scalable monitoring and diagnostic capabilities that enable teams to quickly identify trends, investigate changes, and understand root causes. - Partner across Data Science, Product, and Engineering — including Growth, Discovery, Social, and other product areas — to connect insights across surfaces, understand how platform and product changes affect the broader ecosystem, and translate complex data into actionable recommendations that shape strategy and drive impactful platform improvements. You Have: - An advanced degree in Statistics, Applied Mathematics, Physics, Engineering, Computer Science, Economics, or a related quantitative field. - 8+ years of industry experience in Data Science or a related quantitative discipline, preferably working on consumer-facing products or applications. - Strong analytical and technical skills, with proficiency in Python or R, SQL, and large-scale data processing and workflow tools such as Spark and Airflow. - Deep expertise in statistical analysis, causal inference, experimentation, and measurement methodologies, with a track record of applying these techniques to shape product strategy and drive business outcomes. - Demonstrated ability to independently lead ambiguous, high-impact problem spaces, applying first-principles thinking to develop novel frameworks, approaches, and solutions. - Proven ability to influence across Product, Engineering, Design, Data Science, and leadership, shaping strategy, prioritizing investments, and driving alignment across organizational boundaries. - Exceptional communication and storytelling skills, with the ability to distill complex, high-dimensional problems into clear insights and actionable recommendations for both technical and executive audiences. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $263,670 - $322,820 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

R

Senior Software Engineer - Content Understanding

Negotiable

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Software Engineer within the Creator Organization, you will develop innovative full-stack solutions that define the future of Roblox’s Content Understanding Platform. This platform processes billions of pieces of content—spanning 3D models, audio files, text, video, and entire experiences—extracting structured information about their meaning, context, and relationships. The Content Understanding Team develops cutting-edge AI models, advanced computer vision systems, and highly scalable backend platforms to power search, discovery, and moderation across Roblox. Your contributions will enable seamless asset discovery, automate moderation at scale, and drive transformative generative AI tools that reshape how millions of creators and users engage with Roblox. You Will: - Solve full-stack challenges to improve how AI, creators, and users describe and get along with content, including images, 3D models, audio, text, and video. - Craft and build scalable pipelines for training, evaluating, and deploying machine learning models to support content annotation and discovery. - Develop robust backend systems to power real-time search, discovery, and powerful generative AI features. - Blend innovation with practicality, applying the latest AI research to build impactful, production-ready solutions. - Collaborate with engineers, product managers, and multi-functional teams to deliver bold technical projects. You Have: - 7 years of strong programming skills in at least two languages (Python, C#, C++, Java) and a willingness to learn others as needed. - Exposure to front end technologies and frameworks such as React or Angular. - Practical experience crafting and scaling backend systems in cloud environments. - Confirmed expertise across the stack, including backend development to deploying ML models in production environments. - Familiarity with image or 3D object understanding, ideally within gaming or content creation industries. - A “get stuff done” mentality with a readiness to solve challenges and take on tasks beyond your comfort zone to get results. - A great foundation in computer vision, AI, or related fields. You Are - Experience with large-scale search systems, generative AI, or semantic content understanding. - Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow) and end-to-end ML workflows. - Knowledge of 3D geometry or asset workflows. - Passion for empowering creators through innovative technology. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $243,290 - $295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

R

Senior/Principal Data Scientist, AVC ( Audio/Video...

Negotiable

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY AUDIO-VIDEO-COMMUNICATION (AVC) TEAM? - Audio : We power all sound in the Roblox engine—from core audio infrastructure and physical sound simulation to developer APIs that drive immersive soundscapes. - Video : We handle video end-to-end—including UGC, brand and ad uploads, transcoding, playback, Roblox Moments capture, face-tracking camera interfaces, discovery previews, and media safety/CSAM detection. - Communications : We build and maintain high-reliability services that power real-time voice communication across in-game experiences and party systems. You Will: - Define Metrics & Telemetry: Partner with engineering to design, log, and validate high-frequency telemetry. Establish KPIs for AVC products that directly impact creators and players. - Transform & Visualize Data for Actionable Insights: Access raw system telemetry, build robust analytics pipelines, and deliver insights that directly optimize engine performance and media delivery. - Design Experiments & Causal Analyses: Lead A/B testing and causal inference to evaluate product quality tradeoffs, validate feature launches, and shape data-driven product decisions. - Drive Cross-Functional Collaboration: Partner closely with Engineering, Product, TPMs, and partner teams (Creator, Social, Growth, Infrastructure, etc.) to navigate ambiguous problem spaces. - Shape Platform Architecture: Directly influence how core AVC systems evolve to deliver a scalable, high-performance platform for creators and players worldwide. You Have: - Education: Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Engineering, or a related quantitative field with a focus on system analysis (or equivalent practical experience). - Experience: 6+ years as a Data Scientist with a proven track record working on high-volume telemetry and system performance optimization. - Data Engineering at Scale: Deep expertise processing massive, noisy datasets (e.g., crash logs, telemetry pings) and building scalable reporting pipelines. - Problem-Solving: Proven ability to use first-principles reasoning to debug complex, ambiguous system behavior. - Technical Communication: Experience translating deep technical results for engineering leaders and using data storytelling to guide strategic investments. Nice to Have: - Direct experience with game engines, audio/video products, or real-time interactive systems. - Background in real-time systems performance tuning or game development analytics. LI-FO1 LI-Onsite For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $307,430 - $373,680 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

C

Staff Software Engineer, Backend - Platform (Core...

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Software Engineer on the Core Automation team within the Platform group, you'll architect and build the Agentic AI systems that are transforming how Coinbase operates. This team is reimagining customer support and compliance processes for a fully AI-driven world, designing intelligent agents, orchestration frameworks, and measurement systems that deliver delightful customer experiences at scale. You'll own the technical direction for production AI systems, working across cross-functional teams to bring this vision to reality while building primitives that scale automation across the company. What you'll do: - Architect and build Agentic AI systems that power Coinbase's compliance automation and other Operations, from intelligent agents through orchestration and guardrails - Design foundational APIs and measurement frameworks that ensure AI agents are grounded, relevant, and reliably deliver customer delight with minimal hallucination - Lead technical direction for distributed systems underpinning AI automation, defining architecture patterns and strategic roadmaps in partnership with engineering leadership - Build reusable primitives and orchestration solutions that enable AI-powered automation to scale across multiple domains beyond the initial customer support and compliance focus - Mentor engineers on AI system design techniques, coding standards, and production-readiness practices for LLM-based applications Required skills and experience: - 8+ years in software engineering with demonstrated experience architecting distributed systems and shipping production AI/ML applications - Experience working with LLM-based applications, familiarity with - measuring and improving grounding, reducing hallucinations, and building guardrails for reliability - Deep expertise designing APIs, orchestration layers, and evaluation frameworks for agentic AI systems at scale Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $218,025 - $256,500 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

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Head of Treasury Markets

$266,000 – $295,000

About the Role We are seeking a senior Treasury Markets leader to build and lead OpenAI's investment management, FX, interest rate risk management, and debt markets capabilities. This role will own corporate liquidity investment strategy, global currency risk, rate exposure, and the design of market-risk programs across rates, FX, liquidity, counterparty, and other Treasury exposures. The ideal candidate combines CFA-level investment discipline, hands-on derivatives and capital markets execution, strong tax and accounting fluency, and exceptional executive communication. They should be able to translate complex market, hedge, liquidity, capital structure, credit market, rating agency, tax, accounting, risk, and governance topics into crisp executive-ready recommendations, decision memos, and Board-level materials. In this role, your responsibility will include: Investment Management - Own investment strategy for corporate cash and liquidity portfolios, balancing capital preservation, liquidity, yield, diversification, counterparty risk, accounting, tax, and regulatory considerations. - Lead portfolio construction, investment policy governance, risk monitoring, performance reporting, manager/counterparty oversight, and compliance for corporate investment portfolios. - Maintain market intelligence on rates, credit, liquidity markets, fixed income products, external manager performance, and emerging portfolio risks. FX & Cash Flow Hedging - Design and operate FX balance sheet and cash flow hedging programs that align exposure management, hedge objectives, accounting treatment, tax considerations, controls, and business needs. - Manage FX and derivatives activity across global operations, including exposure analytics, hedge strategy, trade execution, counterparty management, effectiveness tracking, and reporting. - Partner deeply with Accounting, Tax, FP&A, Legal, and business leaders to improve exposure visibility and ensure hedge programs are operationally controlled and financially sound. Interest Rate, Debt Markets & Market Risk Management - Build interest rate risk management capabilities for corporate liquidity, financing, infrastructure, and other business exposures where rate movements can create material financial volatility. - Assess enterprise and other material market risks exposures where can create financial volatility, partnering with business owners to size risk, evaluate alternatives, and recommend Treasury's role when support is needed. - Develop risk frameworks, dashboards, scenario analysis, and decision support for interest rate exposure, capital structure alternatives, balance sheet implications, hedging, commodities exposure, and operating decisions that require Treasury input. - Evaluate capital structure alternatives and instruments across the balance sheet and credit stack, rating agency implications, risk and governance requirements, process discipline, and related fixed income or derivative instruments where relevant to rate-risk and market-risk management. Cross-Company Financial Analysis - Support priority cross-company initiatives with rigorous financial analysis, clear recommendations, and disciplined execution support. - Support other areas in Treasury as needed, especially Treasury Operations, Trade Finance, and Insurance, bringing analytical rigor and execution support without making those areas the core mandate. - Build business-case models for funding needs, liquidity impact, risk-adjusted returns, sensitivity analysis, and decision tradeoffs. - Translate complex investment, FX, rates, liquidity, tax, accounting, capital structure, credit market, rating agency, risk, governance, and capital allocation topics into concise recommendations for senior leadership and Board-level audiences. AI-Driven Treasury Leadership - Build AI-enabled workflows that improve speed, visibility, control, and auditability across investments, FX, interest rate risk management, capital structure analysis, and related financial analysis. - Use approved AI tools, within established security, confidentiality, and governance controls, to improve recurring Treasury analysis, risk identification, and executive decision support. - Partner with Finance, Engineering, Data, and Product teams to develop scalable, AI-native treasury infrastructure with appropriate review, documentation, and governance. You might thrive in this role if you have: - 12+ years of relevant experience across investment management, corporate treasury, capital markets, banking, asset management, interest rate risk management, complex capital structures, credit markets, or related finance roles. - Deep investment management expertise, including corporate liquidity portfolios, fixed income strategies, portfolio construction, duration, credit risk, liquidity products, external managers, and investment policy governance. - Strong FX, interest rate risk, and derivatives expertise, including exposure analytics, hedge strategy, execution, accounting considerations, tax considerations, controls, and performance reporting. - Experience designing or operating FX balance sheet and cash flow hedging programs, plus broader risk management programs in close partnership with Accounting, Tax, Legal, FP&A, and business teams. - Working knowledge of corporate financing instruments and related risk management considerations. - Exceptional executive communication skills, including the ability to frame ambiguous market-risk, capital structure, credit market, rating agency, tax, accounting, governance, and liquidity decisions for senior leadership and Board-level audiences with clear options, tradeoffs, and recommendations. - Strong modeling skills across portfolio analytics, debt capacity, business-case economics, liquidity impact, risk exposure, sensitivity analysis, and financing scenarios. - Proven ability to operate in a complex, global, high-growth environment with significant cross-functional dependencies. - Demonstrated judgment in market risk, interest rate risk, commodities exposure, counterparty risk, liquidity risk, operational risk, accounting risk, tax risk, and governance. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Systems Software Engineer, Silicon Bringup

$266,000 – $445,000

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will work on the systems software strategy and execution that brings new AI silicon from first power-on to a fully integrated system running production-representative models at expected functionality and performance. You will define how software exercises and validates compute, memory, interconnect, and I/O subsystems, then build the diagnostics, automation, and observability needed to find issues quickly. This role sits at the center of silicon, firmware, platform, systems, and workload teams. You will turn hardware specifications and performance targets into an end-to-end bringup plan, drive cross-functional debug, and establish the stress and regression infrastructure that makes each new platform reliable across operating environments. In this role, you will: - Contribute to the end-to-end software bringup and validation strategy for new silicon and first-party systems. - Define software-driven test coverage across compute, memory, interconnect, I/O, and their system-level interactions. - Build diagnostics, test automation, telemetry, and regression infrastructure that accelerate first-silicon learning and issue isolation. - Lead bringup from initial silicon arrival through board and system integration, docking, runtime enablement, and model execution. - Design stress tests that characterize reliability, performance, and stability across workloads and operating conditions. - Translate architecture specifications and performance models into measurable acceptance criteria, coverage goals, and pass/fail signals. - Debug complex hardware-software failures, drive root-cause analysis, and coordinate fixes across silicon, firmware, electrical, platform, and workload teams. - Validate that integrated systems deliver expected functionality and model performance, and turn bringup learnings into reusable infrastructure for future generations. You might thrive in this role if you: - Have strong systems programming experience in C, C++, Rust, Python, or comparable low-level environments. - Have brought up or validated complex silicon, accelerators, servers, or other hardware-software systems. - Understand computer architecture and the behavior of compute, memory, interconnect, and I/O subsystems. - Are skilled at low-level debugging across firmware, drivers, operating systems, and hardware interfaces. - Can create a rigorous test strategy, reason about coverage gaps, and build scalable automation and observability. - Have experience with performance characterization, stress testing, reliability testing, or production readiness. - Communicate clearly across disciplines and can drive ambiguous, high-stakes technical work from plan through closure. - Care deeply about building durable tools and processes that make subsequent bringup cycles faster and more predictable. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Mission Product Specialist

$283,200 – $354,000

Scale AI is hiring a Mission Product Specialist to shape the product strategy behind Thunderforge's ModSim and planning-tool integrations across our strategic partners. This role sits at the intersection of joint military planning and product judgment — you'll define how the tool chain should evolve for planners at PACOM, EUCOM, NORTHCOM, and other commands, and stay close enough to the technical build to keep that strategy grounded in reality. You're a strong fit if you combine deep Joint Planning Process (JPP) credibility, a strategic eye for product and planner workflows, and enough hands-on ModSim/technical fluency to support the build when needed. You will: Own and support product strategy for Thunderforge's ModSim and planning-tool integrations, bringing JPP expertise and planner insight to roadmap and prioritization discussions Propose process and product improvements based on planner workflows, feedback, and adoption metrics Partner with product teams to help define and improve observability and telemetry for the program Represent PACOM, EUCOM, NORTHCOM, and other strategic partner's needs through proactive communication and detail-oriented execution Work with product and engineering teams to surface integration and reliability gaps that inform strategy and priorities Support hands-on troubleshooting and maintenance of ModSim and data-integration environments Help triage and diagnose incidents, contributing to postmortems and status visibility through resolution Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $283,200 - $354,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Software Engineer, AI accelerator Runtime

$266,000 – $445,000

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the low-level device runtime that turns compiled programs into efficient, functional and performant execution on OpenAI’s custom AI accelerator. This software will schedule kernel launches, manage device memory and address spaces, coordinate synchronization, and expose reliable abstractions to higher-level runtimes and frameworks. You will work at the boundary of software and hardware, partnering with compiler, kernel, architecture, verification, and silicon teams to define interfaces and validate behavior. You will also use and improve event-based, cycle-accurate simulation to develop runtime capabilities before silicon is available, diagnose performance and correctness issues, and guide hardware-software co-design. In this role, you will: - Design and implement the low-level device runtime for OpenAI custom silicon. - Build kernel-launch scheduling, command submission, queueing, dependency tracking, and completion handling. - Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads. - Implement synchronization primitives, events, barriers, streams, and ordering guarantees that are correct and efficient. - Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems. - Use event-based, cycle-accurate simulators to develop, validate, debug, and performance-tune runtime behavior before and after silicon availability. - Diagnose concurrency, memory-ordering, deadlock, race, correctness, and performance issues across software and hardware boundaries. - Build tests, tracing, profiling, observability, and reproducible workloads for runtime correctness and performance. - Partner with architecture and silicon teams to turn workload and simulator insights into hardware-software interface improvements. You might thrive in this role if you: - Have strong low-level systems programming experience in C, C++, Rust, or comparable environments. - Have built runtimes, drivers, firmware, operating-system components, accelerator software, or adjacent systems infrastructure. - Understand concurrency, synchronization, asynchronous execution, queues, events, and memory-ordering semantics. - Understand memory management, address spaces, DMA, caching, coherency, and hardware-software interfaces. - Have hands-on experience with event-based, cycle-accurate simulators or closely related architectural and performance models. - Can reason quantitatively about scheduling, latency, throughput, utilization, contention, and resource tradeoffs. - Are skilled at debugging failures that span software abstractions, device interfaces, and hardware behavior. - Work effectively across compiler, kernel, architecture, verification, firmware, and silicon teams. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Enablement Lead, Government

$207,000 – $295,000

About the Team The Adoption, Innovation, and Transformation team within OpenAI for Government helps government organizations turn OpenAI products into durable capabilities and measurable mission impact. We work alongside public servants to move from initial exploration to confident, responsible, organization-wide use of AI. Our work combines hands-on enablement, adoption strategy, deployment support, community, content, and practical transformation tailored to government missions and operating environments. By translating the potential of OpenAI’s technology into better individual workflows, stronger teams, and improved public services, we help government customers deepen adoption, build lasting organizational capability, and spend more time on mission. About the Role The Enablement Lead, Government is a specialist role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering experiences that support repeatable adoption frameworks, drive sustained activation, expand the breadth and depth of usage, and produce measurable value for government organizations. This role sits at the intersection of enablement, education, adoption, community, content, and customer experience. It blends strong product fluency, instructional design, customer advisory, and a deep understanding of public service. You will lead live workshops, deliver enablement programs, and design adoption interventions for audiences ranging from front-line public servants and technical practitioners to senior government leaders. You will be a trusted guide to government customers, helping them learn, share, teach, celebrate successes, and use AI confidently in their day-to-day work. You will help organizations understand not only what OpenAI’s products can do, but how to apply them safely and effectively while respecting their missions, operating environments, workforce needs, and responsibilities to the public. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches and deployments, and helping government organizations translate product capabilities into tangible mission outcomes. You will own outcomes related to activation and sustained usage while helping shape how OpenAI enables and supports public-sector customers at scale. This role is based in San Francisco or Washington, D.C. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Travel and regular work from government customer sites are required. In this role, you will: - Own the enablement of OpenAI products, including ChatGPT Enterprise and Agents, helping define effective patterns for responsible adoption across government organizations. - Lead government customers through the full enablement lifecycle, from initial onboarding and activation through expansion, optimization, and long-term adoption. - Define and manage structured enablement and deployment programs with clear goals, milestones, owners, and measures of success. - Design and deliver high-impact engagements—including onboarding sessions, advanced capability training, executive briefings, academies, hackathons, listening sessions, and hands-on mission or workflow labs—for audiences ranging from senior leaders to front-line staff. - Guide government leaders, champions, technical teams, and working teams through organizational change by building confidence, establishing effective habits, and translating product capabilities into practical workflows and mission outcomes. - Serve as a subject matter expert for designated products, roles, or government mission areas, building deep expertise and identifying emerging public-sector use cases for new product capabilities. - Develop government-specific learning journeys, training materials, playbooks, FAQs, demonstrations, use cases, customer impact stories, and communications that enable high-quality adoption programs to scale. - Provide timely education for product launches, new features, and capability rollouts, translating product updates into clear and practical relevance for government users. - Advise government customers on workforce communications and engagement strategies that build awareness, confidence, participation, and sustained use. - Build trusted relationships with government leaders, program owners, technical teams, champions, and front-line public servants, creating experiences that reflect an understanding of their constraints, motivations, and responsibilities to the public. - Support government customer communities, events, and peer-learning experiences by keeping resources, discussions, updates, and thought leadership useful and current. - Identify and amplify government champions, creative use cases, and meaningful customer outcomes that encourage responsible experimentation, recognize public servants’ contributions, and help other organizations learn. - Partner closely with Sales, Customer Success, Solutions Engineering, Solutions Architecture, Delivery, Product, Global Affairs, Communications, Marketing, Readiness, and other teams to deliver cohesive experiences for public-sector customers. - Gather and synthesize government customer feedback, adoption signals, participation data, and engagement outcomes to improve enablement programs and bring the voice of public servants back to Product and other internal stakeholders. - Identify patterns across government customers and translate them into scalable programs, content, playbooks, and best practices without losing the human connection required to support public servants effectively. You might thrive in this role if you: - Have 6+ years of experience in customer-facing, enablement, instructional, adoption, or transformation roles, engaging executive, business, and technical audiences in government or similarly complex enterprise environments. - Understand and value public service and can build credibility with government leaders, program owners, technical teams, and front-line public servants. - Possess exceptional presentation, facilitation, and communication skills, particularly when translating complex AI capabilities into clear, accurate, and practical value for audiences with different levels of technical fluency. - Have experience designing learning journeys and leading workshops, training programs, executive engagements, customer events, or scaled adoption initiatives. - Bring strong practical fluency and enthusiasm across ChatGPT, Agents, and the broader OpenAI product ecosystem, with an understanding of how AI can be applied to real-world government workflows. - Are a versatile writer and storyteller who can turn complex information into useful and compelling training materials, presentations, demonstrations, communications, and customer stories. - Can connect product capabilities and enablement activities to measurable outcomes such as activation, sustained usage, improved quality, faster delivery, reduced administrative burden, better decision-making, risk reduction, customer satisfaction, or mission impact. - Can identify patterns across government customers and convert them into scalable systems, programs, content, and best practices. - Are highly organized and comfortable managing multiple workstreams, adapting in live customer environments, and bringing clarity and momentum to ambiguous situations. - Bring humility, empathy, curiosity, and a genuine desire to help public servants and colleagues succeed. - Are personally committed to fostering the safe and responsible evolution of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Sales Development Director (San Francisco)

Negotiable

ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re hiring a Sales Development Director to lead and scale our founding SDR team at LangChain. Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline. This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts. WHAT YOU'LL DO - Lead and coach a team of SDRs responsible for generating qualified pipeline - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment - Recruit top SDR talent and grow the team as LangChain continues to scale - Develop SDR talent through coaching, call reviews, and structured feedback - Build repeatable outbound and inbound qualification playbooks - Partner with marketing to convert inbound demand into qualified opportunities - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals - Implement systems and workflows that improve SDR productivity and effectiveness - Use data to continuously improve performance, analyzing conversion rates across the funnel WHAT YOU'LL BRING - Have 5-10 years of experience in sales development - Have 3+ years managing SDRs or leading a sales development team - Are comfortable working with technical products and developer audiences - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.) - Are highly data-driven and comfortable managing performance through metrics - Are passionate about coaching and developing early-career sales talent - Thrive in fast-moving environments where processes are still evolving - Have strong communication and organizational skills Compensation - Annual salary range: $250,000-$315,000 OTE + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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Sales Development Director (NYC)

Negotiable

ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re hiring a Sales Development Director to lead and scale our founding SDR team at LangChain. Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline. This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts. WHAT YOU'LL DO - Lead and coach a team of SDRs responsible for generating qualified pipeline - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment - Recruit top SDR talent and grow the team as LangChain continues to scale - Develop SDR talent through coaching, call reviews, and structured feedback - Build repeatable outbound and inbound qualification playbooks - Partner with marketing to convert inbound demand into qualified opportunities - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals - Implement systems and workflows that improve SDR productivity and effectiveness - Use data to continuously improve performance, analyzing conversion rates across the funnel WHAT YOU'LL BRING - Have 5-10 years of experience in sales development - Have 3+ years managing SDRs or leading a sales development team - Are comfortable working with technical products and developer audiences - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.) - Are highly data-driven and comfortable managing performance through metrics - Are passionate about coaching and developing early-career sales talent - Thrive in fast-moving environments where processes are still evolving - Have strong communication and organizational skills Compensation - Annual salary range: $250,000-$315,000 OTE + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

A

Software Engineer, Business Technology

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone. What you'll do: - Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure - Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities - Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features - Build tools that maximize autonomy and creative freedom for less-technical users - Make product and prioritization decisions, not just execute on specs handed to you - Iterate quickly based on feedback to continuously improve the user experience - Pick up new tools, frameworks, and domains as the product evolves You may be a good fit if you: - Have 6+ years of experience building production software, ideally full-stack - Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way - Think in systems and abstractions—you see the platform behind the feature request - Care about empowering users, not just building for them - Own outcomes, not just code—you care whether the thing you built actually solved the problem - Are comfortable making decisions with incomplete information and operating with ambiguity - Hold yourself to a high bar without needing external pressure Strong candidates will have: - Proficiency across the stack (we use Python, TypeScript, React) - Experience building platforms, primitives, or internal tools that others build on top of - A track record of shipping products independently—not just contributing to larger efforts Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £255,000 - £325,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Reporting and Controls Lead, Data Center Capacity...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Training and serving frontier AI models requires data center capacity at a scale and pace that conventional delivery models were not built for. Anthropic's Data Center Capacity Delivery team embeds with developers, general contractors, and third-party partners to take leased and partnered sites from deal close through floor access and operational handover as fast as they can safely be built. As the Reporting and Controls Lead, you'll own the single view of where every project in the delivery portfolio stands: consolidated milestone tracking from early floor access through floor access and ready-for-service, the integrity of the data behind it, and the capacity projections leadership plans against. You'll build and run the reporting the delivery team and executives rely on, and chase down the schedule and data discrepancies it surfaces. This is a highly cross-functional role: you'll work with Senior Delivery Managers and Regional Managers in the field, our third-party project-management partners, and the planning, transaction, design, and deployment teams whose inputs and outputs the portfolio schedule depends on. MOC (Mission + Outcomes + Competencies) Mission Give the delivery team and leadership one trustworthy view of where every project stands. Outcomes - Consolidated milestone tracking (early floor access, floor access, RFS) current across all projects. - Schedule and status data reconciled at the source. - Portfolio capacity projections and variance to plan maintained. - Delivery-review and executive reporting built; data-quality checks automated where possible. Competencies - Project controls / scheduling on large capital programs. - Portfolio-level, not single-job, reporting. - Scheduling, spreadsheet, and BI tooling fluency. - Identifying, qualifying, and packaging data driven insights that define project and portfolio health. Responsibilities - Own consolidated milestone tracking across all active and upcoming delivery projects — early floor access, floor access, ready for service — and keep it current - Validate schedule and status data from developers, GCs, and third-party partners; challenge what doesn't reconcile and fix it at the source - Maintain portfolio capacity projections and the variance to plan behind them - Build and maintain reporting for delivery reviews and executive updates - Define the data standards and integrated-schedule and tooling conventions projects report against, with the Program Management Lead - Automate reporting and data-quality checks where possible, including with AI-assisted tools You may be a good fit if you - Have [7+] years in project controls, scheduling, or program reporting on large capital construction programs — data center, energy, or industrial - Have run consolidated reporting across a multi-project portfolio, not a single job - Are fluent in scheduling, spreadsheet, and BI tooling [e.g. Primavera P6, Excel, Power BI — confirm] - Communicate clearly, in writing and in charts, to technical and executive audiences - Are comfortable building the process while running it Strong candidates may also have - Hyperscaler, colo, or developer-side program-controls experience - Owner's-side cost controls or earned-value reporting experience - Built planning or reporting tools leveraging AI-assisted development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Repairs Program Lead - Data Center Operations

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Repairs Lead within the Data Center Infrastructure organization, you will define and manage the end-to-end hardware repair program across Anthropic's growing fleet of data centers. You will be accountable for repair turnaround time and the compute returned to service across every site, covering server, GPU/accelerator, network, and optics break-fix, RMA and reverse logistics with OEMs and ODMs, and the spares and repair inventory that keeps repair SLAs achievable. As a subject matter expert in hardware operations, you will develop scalable repair processes and quality targets, set the standards that site operations partners and repair vendors execute against, and turn failure trends into fixes which are driven upstream with engineering and equipment partners. If you are experienced in at-scale datacenter hardware operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: - Define the global repair strategy including repair SLAs, prioritization rules, escalation paths, and reporting methods, and drive standardization across all sites. - Own repair turnaround time and repair backlog across the fleet evidenced by Anthropic-owned ticket and telemetry dashboards you help develop. - Author and improve procedures for triage, break-fix, return-to-service validation, and train site operations partners on how to execute them. - Manage RMA and reverse logistics programs with OEMs, ODMs, and depot repair vendors, including warranty claims, return cycle times, and failure analysis feedback. - Set spares pool sizing and stocking levels by site and part, in coordination with supply chain and asset management, so that parts availability never gates repair SLAs. - Analyze failure patterns across sites to identify root causes and drive corrective actions with hardware engineering, suppliers, and site operations owners. - Lead the operating cadence with vendor and site leads, including weekly repair reviews, scorecards, and business reviews, and drive corrective actions for SLA excursions. - Communicate repair constraints, risks, and fleet availability impact to engineering and leadership. You may be a good fit if you: - Have 8+ years of experience in data center operations as a manager, technical lead or related role, including accountability for production availability. - Can demonstrate a proven track record running break-fix programs at a large scale across multiple sites. - Have managed vendors, OEMs, or contract workforces to measurable outcomes: SLAs, operational reviews, and corrective action. - Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify repair quality and audit vendor claims. - Have built or substantially improved operational processes. - Are comfortable working with ticket, telemetry, and inventory data to drive decisions. - Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: - Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including tray, cold plate, and manifold-level repair. - Experience managing RMA and warranty programs with hyperscale OEMs/ODMs, including failure analysis and supplier quality engagement. - Experience with spares planning, reverse logistics, or depot repair at data center scale. - Experience delivering repair outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. - Familiarity with optics and high-speed interconnect failures. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Regional Manager EMEA, Data Center Capacity Delive...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Training and serving frontier AI models requires data center capacity at a scale and pace that conventional delivery models were not built for. Anthropic's Data Center Capacity Delivery team embeds with developers, general contractors, and third-party partners to take leased and partnered sites from deal close through floor access and operational handover as fast as they can safely be built. As a Regional Manager, you'll own delivery across a regional portfolio of active and upcoming projects. You'll build and lead the team of Senior Delivery Managers and third-party partners who sit on those sites, set the standards they execute to, and step in yourself where a project needs it. You are the executive-level interface to our developer partners in the region and the intake point for projects handed over from our transaction team. This is a highly cross-functional role: you'll work daily with our transaction, design engineering, facility operations and commissioning, deployment, and safety teams, and with developers, GCs, and owner's-representative firms on the ground. MOC (Mission + Outcomes + Competencies) Mission Deliver the region’s data center projects to floor access as fast as they can safely be built. Outcomes - Every active project in the region delivered against early-floor-access and floor-access milestones. - Senior Delivery Manager team hired and led; owner’s-rep partners contracted and managed. - Delivery standards (schedule, quality, change control, reporting) enforced across the portfolio. - Executive reporting on progress vs plan and regional capacity projections in place. Competencies - Senior owner- or GC-side mission-critical delivery leadership. - Builds and leads multi-project teams. - Executive-level developer and GC relationship management. - Leads on site through presence; owns outcomes where no process exists. Responsibilities - Lead. This is a role where leadership trumps management and process. You are expected to be on the region's sites enough to shape the culture, approach, and aggressiveness that define the extended teams there — across the portfolio, not one project — and to impact outcomes in a favorable manner. - Be a force multiplier. Hire, develop, empower, and lead the Senior Delivery Managers on those sites, and raise the skillset developers, contractors, owner's-rep partners, and key trades bring to every project in the region; plan resourcing and headcount as the portfolio grows. - Own portfolio execution for the region — schedule, quality, and safety outcomes on every active project, measured against early-floor-access and floor-access milestones. You are empowered and have autonomy to own this regions record of performance. - Drive ownership and influence both inside and outside contractual structures: select, scope, contract, and manage owner's-rep and project-management partners; where contracts, incentives, or culture get in the way of speed, change them, and replace partners when performance or culture slips - Set and enforce delivery standards across projects — integrated schedule, quality requirements, change control, reporting, and tools — and validate that they are met - Identify blockers early and clear them across developer, GC, and trade layers; step in on site where a project needs it You may be a good fit if you - Have [10+] years delivering data center or other mission-critical construction, including several as the owner's or GC's senior leader on a project campus - Have led a multi-project portfolio and built the team that delivered it - Know the end-to-end development process — entitlements and permitting, design, long-lead equipment, construction, commissioning, and handover — well enough to direct partners rather than take their word for it - Have managed developer, GC, and third-party relationships at the executive level and can move them from arm's-length contract administration to shared urgency - Lead through presence: you expect to be on site most of the time and to set the pace and culture of extended teams you don't directly employ - Communicate clearly with technical and non-specialist stakeholders and hold a position when challenged - Are comfortable with ambiguity and with owning outcomes where no process exists yet Strong candidates may also have - Hyperscale data center delivery experience on the owner, developer, or GC side - Experience with the UK and continental European market — its contractors, permitting regimes, and contractual norms - Familiarity with lease, construction, and development contract structures and how to align their incentives around speed The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £1 - £1 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Manufacturing Engineer - Data Center Hardware

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Manufacturing Engineer within the Data Center Infrastructure organization, you will own how Anthropic's servers, racks, and accelerator systems are built at our contract manufacturing and ODM partners. You will design and qualify the assembly, integration, and test processes for each product, bring up new lines and new sites, and drive yield, cycle time, and manufacturing cost once a product is in production. As a subject matter expert in electronics and rack-level manufacturing, you will give the design team early manufacturability feedback, set the process standards our partners build to, and be on the floor when a line is coming up or a yield problem needs solving. If you have built manufacturing processes for complex hardware at a CM or ODM, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable addressing issues on the line as you are presenting a vendor improvement plan to leadership. Responsibilities Include: - Design and document the assembly, rack integration, and test process for new server and rack products, including work instructions, process flows, takt and cycle time targets, and line layout. - Lead new line and new site bring-up at CM/ODM partners, from process validation and capacity verification through pilot builds and release to mass production. - Specify, source, and validate tooling, fixtures, and test equipment. - Own first-pass yield, cycle time, and process capability in production; run SPC, analyze failure and rework data, and drive corrective actions with manufacturing partners. - Provide design-for-manufacturing and design-for-test feedback during product development and represent manufacturing in pilot build reviews. - Qualify process changes and engineering changes on the line, including PFMEA updates, control plan revisions, and operator training, before changes are cut in. - Replicate a qualified process from one line or site to another without a yield or throughput regression, and audit partner lines against Anthropic standards. - Partner with product engineering, test engineering, quality, and supply chain to resolve systemic build issues and reduce per unit cost. You may be a good fit if you: - Have 8+ years of experience in manufacturing engineering or process engineering for complex electromechanical or electronics products built at a contract manufacturer or ODM. - Have designed and released a production process end to end, including line layout, work instructions, fixtures, and test, and owned its yield and cycle time in mass production. - Have led a new line or site bring-up at a manufacturing partner. - Are experienced with common manufacturing engineering tools such as: PFMEA, control plans, SPC, process capability, gauge R&R, DFM/DFT, and structured root cause methods such as 8D. - Are comfortable on the factory floor and can diagnose a process problem through observation and analysis of factory telemetry. - Communicate clearly with partner engineers and operators on the floor and with leadership in a readout. - Can travel to partner manufacturing sites, domestic and international up to 50% of the time. - Have a degree in Mechanical, Industrial, Manufacturing, or Electrical Engineering, or equivalent practical experience. It’s a bonus if you have: - Experience manufacturing servers, racks, switches, or accelerator systems at data center scale. - Experience with liquid-cooled rack integration, including cold plates, manifolds, CDUs, and leak and fill test processes. - Experience with SMT and PCBA process, box build, and rack\-level system integration and test. - Experience qualifying a second CM or second site for an existing product. - Experience with lean and continuous improvement methods (value stream mapping, kaizen, Six Sigma) applied at a manufacturing partner. - A Master's degree or better in a relevant engineering discipline. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

IT Systems Engineer, Mobile Client Platform Engine...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Endpoint team (Client Platform Engineering) manages the laptops and handsets every Anthropic employee works on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and every piece of configuration ships as code through pull requests, CI, staging, and a canary group. Today the mobile side of the fleet is BYOD. This role exists to change that. You will design and implement a corporate-issued mobile device program (managed company phones and managed Apple accounts) in every region Anthropic operates in, and take it from early design to production. The team is deliberately lean and runs with high autonomy. You’ll define what a corporate mobile program looks like at Anthropic and own the platform decisions that get it there. Responsibilities - Design the corporate-issued mobile device program: device standards, what we issue to whom, and how the program grows from a first region to everywhere Anthropic operates - Own the global logistics of issuing hardware: procurement partners, regional coverage, spares, and refresh cycles - Bring mobile configuration into the team’s config-as-code pipeline so mobile policies are reviewed, tested, and progressively rolled out like the rest of the fleet - Build zero-touch enrollment: Apple Business Manager and ADE with managed Apple accounts on iOS, the zero-touch equivalent on Android, so a new phone works the first time without hands-on setup - Own policy, compliance, and device lifecycle for the corporate fleet, from issue to wipe - Build telemetry on the corporate fleet: which devices are checking in, OS and patch state, drift between reported and actual state - Own managed app distribution for mobile, from app approval through update rollout - Partner with Corporate Security on device posture, device trust signals, and travel devices for international trips - Decide how corporate-issued and BYOD coexist, and own that boundary as the program rolls out You may be a good fit if you - Have owned a global or multi-region mobile device program end to end, with 8+ years managing corporate fleets at thousands-of-devices scale - Go deep on iOS device management: enrollment flows, Apple Business Manager and ADE, APNs and certificate lifecycle, declarative device management - Have worked with Android device management and can hold your own in a mixed fleet - Treat device configuration as code and have moved past clicking in consoles - Have run the infrastructure under an MDM, not just administered a SaaS console: a self-hosted MDM server, AWS, Terraform, and configuration that ships as code - Have built or launched a corporate device program, not just operated one, and can decide how it coexists with BYOD - Excel at ambiguous problems that touch several teams at once - Communicate technical concepts clearly to any audience - View IT Engineering as requiring product engineering rigor - Write clear documentation as a natural part of your workflow Strong candidates may also - Have managed ChromeOS devices alongside a mobile fleet - Have run a device program across multiple regions and dealt with the logistics that come with it - Have built automated, progressive rollout systems with promotion gated on telemetry - Bring proficiency in Swift for building device tooling - Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills - Python and shell scripting - iOS and Android platform internals (depth on iOS, working knowledge of Android) - Modern MDM or UEM platforms (Jamf, Intune, Workspace ONE, or equivalent) - Running the infrastructure under an MDM (self-hosted servers, AWS GCP, Terraform) - Querying live device state at fleet scale - Mobile device lifecycle automation (enrollment, policy, patching, app distribution) - GitOps and CI for configuration management - Endpoint security fundamentals Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Head of State and Local Government Sales

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Head of State and Local Government Sales at Anthropic, you'll lead and scale our state and local government sales organization to drive the adoption of safe, frontier AI across state agencies, counties, cities, and other local government entities throughout the United States. You'll leverage your deep understanding of state and local government operations and proven sales leadership expertise to build a high-performing team while establishing strategic relationships with key states, municipalities, and public sector partners. Working closely with GTM, product, and marketing teams, you'll define and execute our go-to-market strategy for the state and local government sector while maintaining the highest standards of security and compliance. Key responsibilities - Build, lead, and scale a state and local government sales team, including hiring top talent, setting clear performance expectations, and providing ongoing coaching and development - Develop and execute comprehensive go-to-market strategies for state and local government, including territory design, market segmentation, competitive positioning, and revenue forecasting across a large and geographically distributed customer base - Own overall state and local government revenue targets and ensure team performance against quotas, while providing visibility into pipeline health and deal progression - Establish and cultivate relationships with governors' offices, state CIOs, agency executives, and city and county leadership, serving as Anthropic's senior point of contact for strategic engagement while empowering your team to own day-to-day customer relationships - Win new business across state and local government by helping state agencies, counties, and cities integrate AI into their technology stacks and constituent-facing and back-office workflows to accelerate delivery and improve service outcomes - Establish and refine sales processes, methodologies, and playbooks specific to state and local procurement, including cooperative purchasing agreements, statewide contracts, RFP/RFI processes, and state-specific compliance requirements - Build and manage strategic relationships with cloud service providers, system integrators, and resellers to create scalable go-to-market motions across the state and local market - Synthesize market feedback and customer insights to inform product roadmap and competitive strategy, working closely with product and marketing teams - Partner with legal, compliance, and delivery teams to ensure successful contract execution and customer satisfaction - Implement metrics, reporting, and performance management systems to drive team accountability and continuous improvement - Represent Anthropic at industry events and with key stakeholders, establishing our brand as the trusted AI partner for state and local government Minimum qualifications - 10+ years of enterprise sales experience with 4+ years managing state and local government sales teams, with a proven track record of scaling revenue and building high-performing organizations - Deep understanding of state and local government missions, budget and legislative cycles, modernization initiatives, and technology adoption patterns across multiple states and municipalities - Demonstrated ability to hire, develop, and retain top sales talent while creating a culture of performance and accountability - Experience developing and executing go-to-market strategies for emerging technologies in the state and local government space - Extensive experience with state and local contracting vehicles, cooperative purchasing agreements, procurement mechanisms, and compliance requirements such as StateRAMP, CJIS, and state-specific data privacy standards - Strong track record of consistently exceeding team revenue targets and building predictable, scalable sales motions across a high-volume, distributed territory - Proven ability to build and manage strategic channel partnerships and ecosystem relationships, including cloud providers, system integrators, and resellers - Excellent communication and relationship-building skills across all levels, from technical teams to state CIOs, agency executives, and elected and appointed officials - Experience implementing sales methodologies, CRM systems, and performance management processes - A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts and build trust with state and local stakeholders Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $550,000 - $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Head of National Security Sales (DoW/IC)

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Head of National Security Sales (DoW/IC) at Anthropic, you'll lead and scale our national security sales organization to drive the adoption of safe, frontier AI across the Department of War and the Intelligence Community. You'll leverage your deep understanding of defense and intelligence missions and proven sales leadership expertise to build a high-performing team while establishing strategic relationships with key defense and intelligence organizations. Working closely with GTM, product, policy, engineering and marketing teams, you'll define and execute our go-to-market strategy for the DoW and IC while maintaining the highest standards of security and compliance. Key responsibilities - Build, lead, and scale a national security sales team covering the DoW and IC, including hiring top talent, setting clear performance expectations, and providing ongoing coaching and development - Develop and execute comprehensive go-to-market strategies for the DoW (including the military services, combatant commands, OSW, and defense agencies) and the IC, including market segmentation, competitive positioning, and revenue forecasting - Anchor the team's work in mission impact: prioritize opportunities where safe, frontier AI materially changes how commands and agencies plan, analyze, and operate, and measure success by outcomes delivered to those who serve - Own overall national security revenue targets and ensure team performance against quotas, while providing visibility into pipeline health and deal progression - Win new business across the DoW and IC by helping commands, components, and agencies integrate AI into their technology stacks and mission workflows to accelerate delivery and mission outcomes - Establish and refine sales processes, methodologies, and playbooks specific to DoW and IC procurement, including FAR/DFARS compliance, classified and unclassified contracting pathways, and agency-specific security and accreditation requirements - Build and manage strategic relationships with cloud service providers, systems integrators, and Defense Industrial Base partners to create scalable go-to-market motions across classified and unclassified environments - Synthesize market feedback and customer insights to inform product roadmap and competitive strategy, working closely with product and marketing teams - Partner with legal, compliance, security, and delivery teams to ensure successful contract execution and customer satisfaction - Maintain visibility and relationships with senior military, civilian, and IC leadership while empowering your team to own day-to-day customer relationships - Implement metrics, reporting, and performance management systems to drive team accountability and continuous improvement - Represent Anthropic at industry events and with key stakeholders, establishing our brand as the trusted AI partner for the national security community Minimum qualifications - 10+ years of enterprise sales experience with 4+ years managing sales teams selling into the DoW and/or IC, with a proven track record of scaling revenue and building high-performing organizations - Demonstrated ability to build, maintain, and leverage senior military, civilian, and leadership relationships across the DoW and IC—with an existing network of contacts across the national security community strongly preferred - Deep understanding of DoW and IC missions, organizational structures, modernization initiatives, and technology adoption patterns across multiple services, commands, and agencies - Active security clearance (TS/SCI required) with ability to discuss capabilities in classified environments - Demonstrated ability to hire, develop, and retain top sales talent while creating a culture of performance and accountability - Experience developing and executing go-to-market strategies for emerging technologies in the national security space - Extensive experience with defense and intelligence contracting vehicles, procurement mechanisms (including OTAs and IDIQs), and compliance and accreditation requirements such as FAR/DFARS, FedRAMP, and DoW Impact Levels - Strong track record of consistently exceeding team revenue targets and building predictable, scalable sales motions - Proven ability to build and manage strategic channel partnerships and ecosystem relationships, including cloud providers, systems integrators, and Defense Industrial Base primes - Excellent communication and relationship-building skills across all levels, from technical teams to senior military, civilian, and IC leadership - Experience implementing sales methodologies, CRM systems, and performance management processes - A passion for safe and ethical AI development, with the ability to articulate its importance in national security contexts and build trust with DoW and IC stakeholders Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $550,000 - $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Global Supply Manager - Contract Manufacturing

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Global Supply Manager for Contract Manufacturing within the Data Center Infrastructure organization, you will own Anthropic's relationship with the contract manufacturers and ODMs that build our servers, racks, and accelerator systems. Your ownership extends to both sides of this relationship: the commercial framing, structuring the agreements, pricing, and SLAs that define what the partner owes us, and the execution against it, sharing forecasts, scheduling build plans, and holding the partner to volume, on-time output, and inventory commitments. This is not the sort of role where work stops after negotiation; the person who helps structure the deal is the same person accountable for the partner delivering against it every week. You will work daily with our product and manufacturing engineers who support our partner sites, and with supply chain, finance, and deployment teams internally. If you have owned a CM or ODM relationship through both a negotiation cycle and a production ramp, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable meeting with partners face to face as you are presenting a long term partner strategy to leadership. Responsibilities Include: - Help structure and negotiate the CM/ODM commercial agreements, including MSAs, SOWs, pricing and NRE models, and liability and flexibility terms, with clear, measurable performance obligations. - Design the SLA/SLO framework and vendor scorecard for the manufacturing relationship, and oversee the governance cadence, from weekly operating reviews to QBRs with partner executives. - Share demand forecasts with the partner on a defined cadence and convert them into committed, capacity build plans aligned to our deployment schedule. - Ensure builds are scheduled against deployment need dates and hold the partner to committed volumes and on time output, driving recovery plans when production falls behind. - Ensure the partner maintains adequate materials and buffer inventory on site to protect the build plan and manage inventory risks against the forecast. - Verify partner billing against contracted rates, actual output, and approved NRE, and resolve discrepancies before invoices are approved. - Escalate performance issues through the partner's management chain with data, and own corrective actions through closure. - Coordinate with product engineering, manufacturing engineering, supply chain, and deployment operations so factory commitments and downstream plans stay aligned. You may be a good fit if you: - Have 10+ years of experience in supply management, supply chain, or manufacturing operations, with direct ownership of a contract manufacturer or ODM relationship. - Have owned a CM/ODM relationship through both a commercial negotiation cycle and a production ramp, and can speak to outcomes on both. - Have structured and negotiated manufacturing agreements: SOWs, pricing models, SLAs, and inventory liability terms. - Have owned build plans, forecast commitments, and on time delivery for products built at a manufacturing partner site. - Are rigorous with data: are comfortable running scorecards, verifying partner reported numbers, and using both to drive decisions. - Are comfortable working cross functionally and have led engineering, finance, supply chain and operations teams to a decision when their priorities conflicted. - Communicate clearly in writing and produce artifacts senior stakeholders can act on without follow-up. - Have a bachelor's degree in a relevant field or equivalent practical experience. It’s a bonus if you have: - Experience managing server, rack, or accelerator system manufacturing with major CMs and ODMs (Foxconn, Quanta, Wiwynn, Jabil, ZT Systems, Flextronics, Celestica, or similar). - Experience with CM cost and billing structures: unit price, NRE, consigned versus turnkey material, and inventory liability models. - Experience supporting large scale hardware deployments where on-time delivery and supplier performance are critical program outcomes. - Experience with S&OP processes, capacity modeling, or clear-to-build management. - Experience with liquid-cooled or high power density compute rack systems. - Experience bringing up a new manufacturing partner or second source alongside engineering teams. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Economic Mobility Partnerships Manager - Career Pa...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Beneficial Deployments team exists to ensure AI's benefits reach the people and communities that markets typically leave behind. As our work in Economic Mobility builds momentum, we're hiring a partnerships manager dedicated to career pathways in the AI age. You'll lead Claude Corps, our $150M flagship early career program — a national fellowship placing 1,000 early-career fellows, paid full-time for a year, with nonprofits serving communities across the U.S. Designed and run with CodePath, you'll own the program's success through its first cohorts and its evolution into replicable workforce infrastructure for the field if the program is impactful for both fellows and nonprofit host organizations. Beyond Claude Corps, you'll grow our talent developer partnerships — building on momentum like our CodePath partnership that infuses Claude and Claude Code in courses that reach 20,000+ students at community colleges, universities and workforce programs across the country. You will also lead workforce-related deployments on AI Fluency and Claude fluency with national and regional partners, helping workers build the skills to shape their own pathways in the AI transition. This is program and partnership leadership with real stakes on a global scale. The economic mobility field is early in its AI journey, and the organizations we work with choose Anthropic because of values alignment. You'll earn and keep that trust by delivering measurable results by supporting millions of people and their pathways through our partners by 2027. The role rewards entrepreneurial orchestration: building new programs amid ambiguity, scaling what works, and enabling partners to manage mature programs so you can build what's next. Key responsibilities - Lead Claude Corps end-to-end — cohort launches, host organization pipeline, coordination with CodePath, program measurement, and the open-source playbook - Develop and close tier-1 partnerships with talent developers, workforce organizations, and philanthropic and public sector partners — from scoping and structuring through deployment, measurement, and scale - Deploy AI Fluency workforce development offerings for states and cities, and drive adoption of AI Fluency and Claude fluency training with national and regional partners - Orchestrate across functions — working with Anthropic Academy, Economic Research, Applied AI, Policy, Communications, and GTM teams inside Anthropic, and with funders and agencies outside it - Understand what works through research and share through open, replicable models the broader workforce field can use You may be a good fit if you: - Have personally structured and led large, multi-year, multi-stakeholder partnerships — corporate, nonprofit, or public sector — and can speak to outcomes you advanced, not just agreements you signed - Have operated inside a large or fast-growing company — on a people, talent, or HR team, or as a sponsor of talent and early career programs - Have real substance in AI fluency, technical training, or learning programs — you have built, deployed, or led training and talent development work, not just advised on it - Build well amid ambiguity — you create structure where none exists, adapt quickly when programs shift, and prioritize execution for impact over process - Communicate at an executive level — your writing is exec-ready, you are a confident public speaker, and you move fluidly between corporate, nonprofit, and government audiences Strong candidates may also have: - Experience designing learning programs end-to-end - An existing network across workforce development, philanthropy, or the public sector - Hands-on fluency with Claude — workflows, tools, or assets you have personally built This is a full-time role based in our San Francisco headquarters. Washington, D.C. will be considered as a backup location for exceptional candidates. Relocation support is available. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Data Center Sourcing Manager

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You'll own strategic silicon sourcing for Anthropic's global data center footprint, working across the components that determine what our infrastructure can do and when it can do it: CPUs, memory (DRAM and HBM), and the other semiconductors that sit at the heart of every platform we deploy. You'll be the commercial owner who makes sure the right silicon is allocated, committed, and landed at the right site at the right time, on terms that hold up across programs and across market cycles. You'll work day-to-day with Anthropic engineering, our data center operator partners, silicon vendors, OEMs, ODMs, and integrators. You'll be the bridge between platform roadmaps and the supply base, securing allocation on constrained parts, negotiating long-term supply and capacity agreements, managing vendor performance, and optimizing for lead time, cost, and on-time delivery against an aggressive deployment roadmap. You'll build a deep view of the silicon market, including packaging capacity, memory pricing cycles, and vendor roadmaps, and turn it into sourcing strategies that protect Anthropic's supply and its cost structure. In any given week you might be locking in CPU and memory allocation for a new platform, supporting NPI BOMs with qualified alternates, expediting constrained components, chasing down a lead-time slip with a silicon vendor, running a competitive process across processor or memory suppliers, developing supplier scorecards, negotiating multi-year supply agreements, or partnering with engineering to keep an in-flight program on track. You'll partner closely with Claude throughout, including vendor benchmarking, contract analysis, scenario and cost modeling, and drafting clean negotiation records. Responsibilities - Run end-to-end strategic sourcing for silicon across our data center platforms (CPUs, memory including DRAM and HBM), from vendor engagement and competitive process through supply agreements and ongoing vendor performance management. - Secure allocation and capacity commitments on constrained parts, and negotiate long-term supply, pricing, and capacity agreements that protect Anthropic's deployment plans through market cycles. - Own the operational rhythm with silicon vendors: supplier scorecards, allocation and capacity tracking, roadmap alignment, and quarterly business reviews. - Maintain a market view of the silicon supply chain, including foundry and advanced-packaging capacity, memory pricing cycles, and vendor roadmaps, and translate it into sourcing strategies, qualified alternates, and cost targets. - Negotiate commercial terms and keep them aligned with platform roadmaps and deployment schedules, with a bias toward execution and on-time delivery. - Triage silicon supply issues across programs, drive trade-off decisions with engineering, finance, and deploy operations, and keep stakeholders aligned through ambiguity. - Build Claude-powered workflows that the sourcing team and partners adopt for vendor benchmarking, requests for quotes, contract analysis, cost and scenario modeling, and reporting. - Produce the deal memos, supply agreement summaries, vendor business reviews, and operational readouts that engineering and ops leadership rely on to keep programs on track. You may be a good fit if you: - Have 7+ years of experience in sourcing, procurement, or supply chain operations, with a track record across multiple hardware categories rather than depth in just one. - Are operationally rigorous: comfortable owning supplier performance, lead-time discipline, and fulfillment escalations as a regular part of the job. - Operate effectively under ambiguity and bring structure to undefined problems. - Influence cross-functional partners and align them around shared standards, even without direct authority. - Communicate clearly in writing and produce artifacts senior stakeholders can act on without follow-up. - Have a bachelor’s degree in a relevant field or equivalent practical experience. It’s a bonus if you have: - 10+ years in sourcing, procurement, supply chain operations, or hardware program management. - 5+ years of experience sourcing data center hardware at scale. - Hands-on experience with operational sourcing instruments (PO management, scorecards, S&OP, lead-time modeling, expedites). - Familiarity with data center hardware infrastructure (compute, networking, racks, cabling, CDUs, and other mechanical components). - Experience working with OEMs, ODMs, integrators, and service providers across multiple hardware categories. - Experience supporting large-scale hardware deployments where on-time delivery and supplier performance drove program outcomes. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

S

Program Manager, Compliance

Negotiable

At Scale, we are driving the future of AI and Machine Learning across a variety of industries. As the Program Manager for Compliance, you will play a pivotal role in the continued success of Scale. Your role will be instrumental in ensuring the effective operation of our Compliance department and our GRC function, allowing us to maintain the highest standards in our industry. Reporting to the Director & Associate General Counsel, Compliance, you will be a dedicated program manager for Scale's enterprise compliance program and the person who turns policy into practice across anti-bribery and anti-corruption, gifts and entertainment, conflicts of interest, third-party risk and sanctions, policy lifecycle, and company-wide training. This is a hands-on builder, not a maintenance role. You will support Commercial, Public Sector, and international business lines, working closely with Legal, Procurement, Finance, Security, and go-to-market teams. You will: - Help build, design, improve, and streamline Scale's core compliance programs, including anti-bribery and anti-corruption (ABAC), gifts and entertainment, conflicts of interest, and third-party risk and sanctions screening. - Collaborate with stakeholders across the company to improve compliance policies, processes, and procedures. - Monitor regulatory developments relevant to Scale's business, translate them into concrete policy and process changes, and track compliance obligations flowing out of customer contracts. - Partner with leadership to build, mature, and operationalize the company's enterprise risk management (ERM) framework, identifying and assessing key business risks. - Build the reporting layer: metrics and periodic reporting that give Legal & GRC leadership a defensible picture of program health. - Flex into audit and assurance work during peak certification periods, and own inbound customer and investor compliance diligence questionnaires. Ideally you'd have: - 5+ years building or operating ethics and compliance programs in-house, with hands-on ownership of ABAC and at least one of gifts and entertainment, conflicts of interest, or third-party risk. - A track record of building policies, processes, and controls from scratch and successfully implementing them within a business. - Experience leading day-to-day activities and improving processes. - An action-oriented mindset, balancing creative problem-solving with a strong drive to achieve outcomes. - Strong analytical skills, with experience using data analysis tools or software. - Experience in project management, including planning, organizing, and managing resources. Nice to haves: - Familiarity with various compliance frameworks, both auditing and implementing, such as SOC 2, ISO 27001, and NIST 800-53. - Experience applying AI or Machine Learning. - International compliance experience, particularly government contracting or public sector business in the GCC, EMEA, or APAC. - Experience with GRC tooling or third-party risk management systems, and certification such as CCEP or CCEP-I. - Current or past U.S. Government Security Clearance. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $164,800 - $206,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

O

Integrated Marketing Manager, Product & Model Laun...

$287,000 – $318,000

About the Team The Integrated Marketing team sits at the center of product, brand, creative, media, research, and GTM work. We partner closely with PMM, Product, Developer Relations, Design, Comms, and agency teams to shape launches and campaigns that are clear, distinctive, and grounded in real audience insight. This is a growing function, so the team needs people who can both raise the quality of the work and build the operating model around it: bringing strong judgment, high agency, and trusted partnership to complex, visible moments. About the Role OpenAI business launches move quickly and often involve new products, model capabilities, or research that can change how businesses operate. We’re looking for an integrated marketing manager to help shape those launches from early strategy through execution. You’ll develop a point of view on the audience, positioning, creative direction, and channels, and help turn complex product and research advances into campaigns that connect with customers. You’ll partner across Product, Product Marketing, Research, Brand, Creative, Communications, Growth, and Sales, along with external agencies. The right person understands technology, has strong strategic and creative instincts, and knows how to bring together the right people and ideas to produce work that is clear, credible, and effective. This is a hybrid role based in San Francisco, with three days a week in the office. In this role, you will: - Develop integrated marketing strategies for business product launches, new capabilities, model releases, and research moments. - Partner with Product, Product Marketing, and Research to understand what’s changing, identify the right audiences, and shape positioning and launch narratives. - Lead campaigns that bring launches to life across creative, communications, customer marketing, developer marketing, growth, sales, and paid, owned, and earned channels. - Identify customer stories, product demonstrations, and creative concepts that make technical capabilities tangible and relevant to business audiences. - Work with creative, media, and production agencies to develop briefs, evaluate ideas, and deliver strong campaigns. - Connect launch strategies to the needs of customers, sales teams, and partners, making sure the work supports both immediate announcements and longer-term adoption. - Manage campaign budgets, agency relationships, and media investments where appropriate. You might thrive in this role if you: - Have ~10+ years of experience in B2B product marketing, integrated marketing, launches, and/or a related technology go-to-market role. We care more about the scope, quality, and complexity of your work than an exact number of years. - Have launched enterprise software, AI products, cloud services, developer tools, or other technically sophisticated offerings, especially in fast moving or ambiguous environments. - Understand product positioning and can work closely with Product and PMM leaders as a thoughtful, credible partner. - Bring strong ideas, build relationships easily, and know how to partner with internal creative teams or external agencies to improve the work, not just coordinate it. - Pair creative judgment and customer empathy with analytical thinking, operational rigor, and hands-on execution. You can sort through a high volume of information, make sound recommendations, and keep complex launch work moving across many stakeholders. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

O

AI Support Engineer - Dublin (Weekend Shift)

Negotiable

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday) You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

A

Senior Accountant, Intercompany and Consolidations

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's corporate structure is growing in both entity count and transaction complexity; through acquisitions, international expansion, and an increasingly intricate set of intercompany flows. Consolidations and intercompany is now a dedicated pillar within Corporate Accounting, and we are looking for a Senior Accountant to be its first hands-on builder, reporting to the Head of Consolidations & Intercompany. This is a preparer's role with a designer's mandate. You will run the multi-entity, multi-currency consolidation and intercompany close in our system of record, and you will own the frameworks that make that close repeatable: elimination logic, cost-allocation models, transaction-flow documentation, and the automation that lets all of it scale as entities and acquisitions are added. The people who do well here can take a complex, ambiguous structure, distill it into something clear, and then build it so it runs the same way every month without them. Success in this role is a balance of strategy and operations; someone who closes the books accurately and on time, and who also leaves each close with fewer manual steps than the one before. Key responsibilities - Prepare and own the monthly and quarterly consolidation close in Workday, including intercompany eliminations, multi-currency translation, and consolidated reconciliations - Own the intercompany sub-ledger end to end: transaction matching, settlement, balance confirmations, and resolution of out-of-balance positions across entities - Design and maintain the cost-allocation model for shared costs, including pay-on-behalf-of and collect-on-behalf-of flows, and build it to be automatable and defensible - Document intercompany transaction flows and maintain the single source of truth for entity structure, agreements, and elimination logic - Partner with the Head of Consolidations & Intercompany to design the target operating model for the pillar, then build and codify it through operating procedures and controls - Operationalize transfer-pricing arrangements with Tax and support FX and intercompany settlement processes with Treasury - Integrate newly acquired entities into the consolidation and intercompany framework, working alongside M&A Finance Integration - Identify and build automation across the consolidation and intercompany close — in Workday, in reporting tools, and with AI-assisted tooling such as Claude — with a bias toward removing manual work for good - Prepare consolidation and intercompany audit support and serve as a primary point of contact for external auditors on this area - Support technical accounting analysis on consolidation matters, including foreign currency and intercompany arrangements Minimum qualifications - Hands-on experience preparing a multi-entity, multi-currency consolidation close in an ERP, including intercompany eliminations and currency translation - Working knowledge of US GAAP for consolidations, intercompany transactions, and foreign currency - Experience building or materially redesigning an accounting process, model, or reconciliation — not only operating one that already existed - Advanced spreadsheet and data-handling skills, with the ability to work confidently in large, multi-entity datasets - Bachelor's degree in Accounting, Finance, or a related field, or equivalent practical experience Preferred qualifications - CPA, ACA, or equivalent professional accounting qualification - Workday Financials or Workday Financial Consolidation experience, or experience implementing or configuring a consolidation module on another major ERP - Experience operationalizing transfer pricing or intercompany service agreements from the accounting side - Exposure to FX accounting and intercompany settlement processes in partnership with Treasury - Experience integrating acquired entities into a group close - Experience automating close processes through scripting, reporting tools, or AI-assisted tooling - Combination of public accounting background and high-growth or multi-entity operating experience - Comfortable operating lean, resolving ambiguity into documented process, and explaining complex structures simply to finance and non-finance partners The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Product Policy Manager, Product Risk

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team As the Product Policy Manager for Product Risk, you will play a crucial role in setting and executing the Safeguards team’s approach to assessing product launches for safety risks and working with XFN stakeholders to drive appropriate safety mitigations. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including, product, legal, public policy, and engineering teams to understand upcoming features, anticipate potential misuses or unintended consequences, and craft policies that balance innovation with responsibility. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as we continue to expand our product capabilities. IMPORTANT CONTEXT ON THIS ROLE: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. Responsibilities: - Develop and maintain risk assessment frameworks to identify and evaluate potential safety risks associated with new product features and functionality - Conduct and drive comprehensive product safety reviews, covering technical and non technical harms, to inform product launch and safety mitigation strategies - Collaborate closely with a variety of stakeholders including product and engineering teams and the broader Safeguards team to leverage deep policy, enforcement, and engineering expertise - Analyze the potential for misuse, unintended consequences, and harmful outputs of new model and product capabilities and translate this analysis into mitigations delivery. - Leverage SME risk assessments to inform overall product safety recommendations - Design and run bespoke evaluations for products that require tailored assessment and contribute to our product safety evaluations strategy. - Craft policy recommendations that strike a balance between enabling innovation and ensuring responsible AI deployment - Stay current on industry trends and emerging risks in AI development to proactively address potential issues - Contribute to regular reports on product policy risks and mitigations for senior leadership Minimum Requirements: - Have a strong technical background while also feeling equally comfortable explaining highly technical concepts to non-technical stakeholders - Understand safety policies and safety considerations associated with a wide range of product surfaces - Are adept at prioritizing where, and how, to focus resources for safety mitigations in a high volume launch process - Have conducted risk evaluations of novel products in fast moving organizations - Demonstrated expertise collaborating with product and engineering teams to integrate safety considerations into product development - Have a thorough understanding of AI ethics, responsible AI principles, and current debates surrounding AI safety and governance - Have the ability to think creatively about potential misuses of technology and develop innovative solutions to mitigate risks - Have shown strong program management skills with the ability to drive policy development processes from ideation to implementation The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 - $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Product Engineer - Manufacturing Operations

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building its own servers, racks, and accelerator systems with contract manufacturers and ODM partners, and deploying them across our fleet of data centers. We are seeking experienced engineers to own how well that hardware gets built. As a Product Engineer on the Manufacturing Operations team, you are the technical owner of a product at the factory. During development, you gather manufacturing, test, and yield concerns, get them fixed in the design before each build, and sign off that the product is ready to move to the next stage. Once a product is in mass production, you keep it healthy by delivering engineering changes with minimal disruption, qualifying new components and second-source manufacturers, and root-causing yield and field failures. This is a hands-on role with up to 50% travel to partner factories in the US and abroad. You should be as comfortable debugging a test failure on the line as you are presenting a corrective action plan to leadership. Representative projects - Take a new accelerator rack from early evaluation to mass production at an ODM: audit the assembly and test process, set yield targets, confirm test coverage, and approve the transition. - Scale manufacturing from one line to multiple and then to a second site or second manufacturer without yield or throughput regressions. - Run a cross-functional root cause on field failures traced to a manufacturing gap, drive corrective action with the ODM/CM, and close the loop with the design itself when required. - Lead an engineering change across manufacturers: BOM and PLM updates, cut-in planning, partner training, validation, and monitor field failures/RMA. - Bring manufacturing requirements and validation data into each development phase review so the engineering team has a single prioritized list of what to fix before the next build. You may be a good fit if you - Have carried a hardware product from early builds through mass production at a contract manufacturer or ODM. - Have set up or improved assembly and test processes at a manufacturing partner and drove yield, quality, and schedule commitments. - Use structured manufacturing and root-cause methods (DFM, FMEA, SPC, 8D or similar) as a matter of habit, and are an expert at translating messy failure data into clear decisions. - Can write a product-specific test plan and judge whether test coverage is sufficient. - Communicate clearly with partner engineers and operations staff on the floor as well as with leadership in a readout. - Are willing to travel to partner sites up to 50% of the time. - Have a degree in Electrical, Mechanical, Industrial, or Materials Engineering, or equivalent practical experience. Strong candidates may also - Have been the technical lead for a data center hardware program such as: server, storage, switch, rack, or accelerator. - Have stood up a new manufacturing line or site, or brought up a second CM for an existing product. - Have experience with liquid-cooled or high-power-density rack systems. - Possess a Master's degree in a relevant engineering discipline. - Have worked closely with sourcing and supply chain teams on component qualification and multi-sourcing strategies. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

A

Partner Account Manager - Spain, Italy & MEA

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role This is a critical leadership role responsible for building and scaling Anthropic's consulting, GSIs and AI-native boutique partners across Italy, Spain and the larger Middle East and Africa (MEA) region.You will own the strategic roadmap, investment prioritization, development plans, and revenue accountability for a portfolio of partnerships that will collectively become critical drivers of Anthropic's enterprise growth. This is a builder role, not a manager role. Given Anthropic's stage, we need someone who has proven they can take partnerships from zero to scaled revenue engines — someone who has built these relationships from the ground up, not just inherited and managed existing ones. Key responsibilities Partnership development and execution: - You will treat each partner as a structured sales pursuit with detailed stakeholder mapping, account plans, and targeted engagement strategies. - You will guide partners in creating repeatable customer solutions that address specific use cases across industries including financial services, healthcare, retail, manufacturing, public sector, and professional services. Performance and KPI ownership: - Own and drive key performance indicators: partner-sourced pipeline, partner-influenced revenue, consultants trained and certified, joint proposals submitted - Establish clear success metrics with each partner and drive regular business reviews against targets - Report on partnership health, progress, and commercial outcomes with data-driven insights - Every deal influenced through your partner portfolio must be architected for customer success and long-term value expansion. You will establish success criteria for joint accounts, ensure proper implementation and adoption support, and create feedback loops that drive continuous improvement. Market Development & Brand Building - Amplify the Anthropic brand across Spain, Italy and MEA region through strategic partner relationships - Develop and execute market-specific GTM strategies adapted to local business practices and cultural nuances - Navigate regional regulatory, compliance, and data sovereignty considerations - Create competitive differentiation through unique partner capabilities and joint value propositions You may be a good fit if you have: - Builder mentality — comfortable starting from zero and creating scaled partnerships - Fluent in English, Spanish and Italian - 12+ years of experience in enterprise technology partnerships, ideally within cloud, AI/ML, or platform businesses - Deep existing relationships at VP+ level within target partners - Data-driven mindset with focus on measurable outcomes and KPI attainment. Track record of driving incremental revenues through partnerships in the region - History of delivering exceptional customer success and brand protection through partner channels - Competitive drive — obsessed with winning and creating differentiation - Collaborative approach with ability to work cross-functionally across sales, product, marketing, and regional teams - Passion for AI and alignment with Anthropic's mission of beneficial AI development Working Relationships You will formally report to the International Partnerships leader, while your day-to-day work will be led by our South EMEA Partnerships lead. You will also partner closely with Anthropic's regional sales leader and their Account Executives, as well as the in-region Customer Success and Technical Account Management teams. Location and Travel This role will be based in Madrid, Spain with travel expected to engage with partners and customers externally. Expected travel to Milan, Italy every other week, for up to 3 days each time + regular international travel. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €130.000 - €185.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.