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Child Safety Enforcement Specialist
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice. The Child Safety team is responsible for detection, review, and enforcement of OpenAI’s Child Safety product policies. We leverage a balanced use of technology and subject matter expertise to scale our operations. We collaborate with internal legal, research, and policy teams, external experts, and other industry stakeholders to keep OpenAI aligned with evolving regulations and industry best practices around child safety. About the Role As a Child Safety Enforcement Specialist on the Intelligence & Investigations, you independently lead defined child safety investigations and projects from triage through documented outcome. You apply strong working knowledge of policy and investigative practice, surface trends in abuse signals, recommend evidence-based mitigations, and coordinate with partners to deliver reliable safety outcomes. The role includes sensitive content review and may involve supporting quality and workflow improvements. This role participates in a coverage rotation that includes weekends. As part of the rotation, one weekend day will be included in the employee’s regular five-day workweek. You’ll be responsible for: This role supports child safety investigations, enforcement, reporting, and process improvement. The work includes significant review of sensitive content and analysis of user behavior. This role independently owns defined projects, aligns with cross-functional priorities, and escalates complex legal or policy questions through established channels. In this role, you will: - Independently review and investigate child safety content and behavior, including CSAM and grooming signals, applying policy consistently and documenting evidence and rationale. - Lead well-defined high-risk escalations end to end; anticipate blockers, communicate progress, and make or recommend enforcement decisions within policy and escalation boundaries. - Identify potential mandatory-reporting cases and prepare accurate, timely NCMEC CyberTip reports through approved legal and operational review flows. - Analyze case and detection data to identify patterns, quality gaps, and emerging abuse trends; propose practical, data-informed improvements to investigative workflows and tooling. - Collaborate with Legal, Policy, Product, Engineering, and operations partners to implement scoped mitigations, resolve dependencies, and clearly communicate findings and outcomes. You might thrive in this role if you have: - Experience investigating child safety abuse or comparable Trust & Safety issues, with sound judgment in sensitive content review and enforcement - Ability to independently own defined investigative projects, anticipate obstacles, and deliver high-quality, clearly documented outcomes - Working knowledge of NCMEC CyberTip reporting workflows and the judgment to escalate legal or policy uncertainty appropriately - Ability to identify patterns in case or detection data, recommend practical mitigations, and communicate progress and findings to cross-functional partners - Comfort using investigative tools and data; SQL, statistics, or technical collaboration experience is a plus, while engineering is not required. 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.
Enablement Specialist, Perplexity Computer
Perplexity is seeking an Enablement Specialist to help enterprise customers build the knowledge, confidence, and repeatable practices required to reach value with Perplexity Computer. This role is ideal for someone who combines technical fluency, strong facilitation, and a track record of building onboarding and adoption programs that scale. About the role Perplexity Computer enables customers to build AI-powered workflows that navigate tools, interact with applications, and complete multi-step work. Helping organizations adopt this new way of working requires more than a product demonstration or one-time kickoff. Enablement Specialists design and deliver the programs that move customers from initial access to confident, sustained use. You will create onboarding journeys for different levels of readiness, lead customer workshops and office hours, diagnose adoption barriers, and turn repeated questions into scalable guidance. This is a customer-facing role that works closely with Customer Success, Applied AI Architects, Product, Marketing, and Support. Customer Success retains ownership of the account, adoption strategy, and expansion strategy; you will own the enablement programs and interventions that help customers and customer success managers become self-sufficient. What you'll do - Design customer journeys. Build onboarding and adoption programs for customers and user cohorts with different roles, goals, technical readiness, and levels of AI experience. - Deliver high-quality enablement. Lead technical kickoffs, workshops, office hours, remote sessions, onsite programs, webinars, and train-the-trainer experiences. - Make complex concepts accessible. Teach Computer and agentic-workflow concepts clearly to both technical and nontechnical audiences. - Guide customers through setup. Help customers understand access, members, permissions, connectors, credits, models, initial workflows, and the practices required to get started. - Diagnose adoption barriers. Determine whether a customer is blocked by knowledge, readiness, process, configuration, product capability, or technical complexity. - Route complex needs well. Recognize when a question requires an Applied AI Architect, Customer Success, Support, Product, or Engineering and provide a clear handoff. - Create scalable assets. Turn repeated onboarding and adoption needs into curricula, customer checklists, implementation guidance, lifecycle communications, videos, examples, and internal enablement. - Use evidence to increase adoption and consumption. Segment customers by readiness and usage behavior, identify where consumption stalls, deliver targeted interventions, and measure activation, time to first value, repeat usage, sustained credit consumption, and program effectiveness. - Build the learning loop. Bring customer patterns and feedback back to Applied AI, Product, Customer Success, Marketing, and Support. What we're looking for The strongest Enablement Specialists can teach, diagnose, and design for scale. You should be able to run a compelling customer session, understand the technical details behind a blocker, and build a repeatable program rather than solving the same problem one customer at a time. Must-haves - 4+ years in technical onboarding, customer enablement, implementation, solutions consulting, customer education, or a technically oriented Customer Success role. - Proven program-building experience. You have designed and delivered onboarding, training, or adoption programs across live and self-service formats. - Strong facilitation and communication. You can explain complex product and AI concepts clearly to technical and nontechnical audiences. - Technical fluency. You can guide customers through permissions, connectors, models, credits, workflows, and common integration concepts. - Strong diagnostic judgment. You can determine whether a customer is blocked by education, readiness, process, configuration, product capability, or technical complexity. - Data-informed growth mindset. You have used product and usage data to identify adoption gaps, trigger interventions, move customer cohorts toward sustained use, and evaluate impact. - Cross-functional operating ability. You can work effectively with Customer Success, Sales, Product, Marketing, Support, and technical teams. - High ownership. You set clear expectations, improve weak processes, and operate effectively in a fast-moving environment. Nice-to-haves - Experience with AI products, agentic workflows, enterprise SaaS, or other technically complex platforms. - Experience building technical onboarding or adoption programs for enterprise customers. - Background in adult learning, instructional design, customer education, or enablement operations. - Experience using product and usage data to trigger interventions and measure activation, time to value, and sustained engagement. - Experience developing customer-facing technical content, workshops, or certification programs.
Engineering Manager, Client Platform Engineering
About the Team OpenAI’s Client Platform Engineering (CPE) team delivers trusted devices at scale: secure by default, reliable by design, and effortless to use. We own platform capabilities across macOS, Windows, iOS, Android, and Linux, spanning endpoint posture and device trust, application delivery, onboarding, updates, telemetry, workflow orchestration, and employee-facing remediation. The team partners deeply with Security, Research, Applied, and specialized engineering groups to enable and protect OpenAI while reducing friction for the people advancing our mission. About the Role As an Engineering Manager for CPE, you will lead a team of engineers responsible for the strategy, delivery, and operation of OpenAI’s cross-platform client foundation. You will combine people leadership with strong technical judgment: setting direction, developing engineers, reviewing architecture and tradeoffs, and creating the operating mechanisms that turn ambiguous needs into durable platform outcomes. This is a high-leverage role at the intersection of security, reliability, developer velocity, and employee experience. CPE is a highly technical platform engineering organization delivering first-party services, automation, observability, and safe fleet operations. We’re looking for a leader who can guide its next chapter, scaling the team and its systems, partnering across the company, and raising the bar for secure, reliable, low-friction experiences across every supported platform. In this role, you will: - Lead and develop a high-performing engineering team; hire thoughtfully, coach engineers, create clarity, and foster an inclusive, high-accountability culture that pushes perceived limits. - Define and execute a multi-year client-platform strategy and roadmap across macOS, Windows, iOS, Android, and Linux, including how Codex and agents can reshape employee computing. - Provide technical direction for endpoint posture, device trust, application delivery, device onboarding, updates, fleet telemetry, workflow orchestration, and employee-facing remediation. Lead the team to rethink the platform from first principles as Codex and agent capabilities advance: what software needs to be built, what agents can own end to end, and which employee workflows no longer need to exist. - Guide architecture and engineering tradeoffs across first-party services, open-source tooling, SaaS platforms, IaC/GitOps, CI/CD, and cloud infrastructure. Decide what to build, buy, standardize, retire, or redesign as AI changes what the platform can do. - Establish clear goals, ownership, planning, design reviews, and execution rhythms that let the team move quickly without sacrificing quality. - Raise the bar for reliability and evidence-backed security through observability, drift detection, staged rollouts, release gates, rollback paths, incident learning, runbooks, and healthy operational ownership. Use telemetry to see friction, measure outcomes, and improve before issues become tickets. - Partner with Security, IT, Research, Applied, Product, and specialized engineering teams to align priorities and land company-wide changes, dogfood OpenAI products in real employee workflows, and continuously improve internal platforms. - Balance strong security and compliance controls with developer velocity, employee experience, and operational simplicity. Define where agents can act, where humans approve, and how actions are evaluated, audited, and reversed. - Use adoption, reliability, evidence-backed security posture, data freshness, employee experience, workflow completion, friction, agent effectiveness, and operational-load metrics to steer investment and communicate impact. - Partner with IT and Security teams to compound CPE’s impact across employee experience, security posture, and operational scale. You may be a fit for this role if you have: - Built and led teams that owned secure, reliable, mission critical services and infrastructure at scale, from strategy through production operations. - Delivered internal platforms, tooling, and services that materially improved reliability, security, and employee experience. - Made sound software and infrastructure engineering decisions at scale. Deep endpoint expertise is strongly preferred. - Raised production readiness through direct technical review of architecture, automation, code, IaC/GitOps, CI/CD, observability, and operational tradeoffs. - Operated infrastructure with material security or identity risk through staged rollouts, incidents, and decisions that balanced risk, compliance, and employee or developer experience. - Committed to joining the team’s engineering on call rotation after ramp up and using firsthand operational context to improve reliability and reduce toil. - Built inclusive teams that do excellent work, communicated with clarity and candor, and influenced partners across Security, IT, and Product/Engineering. You might thrive in this role if you have: - Deep experience with one or more client-platform tool ecosystems such as Jamf, Intune, Android Enterprise, FleetDM/osquery, Munki/AutoPkg, or Linux configuration management. - Experience building internal platforms or services for app delivery, device posture/trust, onboarding, notifications, workflow orchestration, or fleet telemetry. - Familiarity with cloud infrastructure, Terraform, Kubernetes/containers, service orchestration, and large-scale observability. - Experience partnering with security, compliance, or privacy teams in high-assurance environments. - Experience supporting research, developer, robotics, hardware-lab, or other specialized computing environments. - A record of contributing to open-source tooling, engineering communities, or cross-company technical standards. This role is based in San Francisco, CA. We offer relocation assistance to new employees. 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.
Economic Development Lead
About the Team OpenAI is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team owns the upstream diligence and development work required to convert powered-land opportunities into executable infrastructure options. About the Role The Economic Development Lead works upstream across the national pipeline, beginning engagement before a project is public and helping shape the incentive, relationship, community-benefit, and approval strategy for sites under evaluation. This role enters early during site evaluation and deal formation; once a project moves toward announcement, the dedicated Community Engagement Lead becomes the local owner while the Economic Development Lead continues to support agreement-linked commitments and incentive execution. Key Responsibilities - Own incentive strategy and negotiations. - Build local and state economic-development relationships. - Develop community-benefit commitments tied to project agreements. - Coordinate with Site Selection, Land, Power, Legal, Finance, and Community Engagement. - Identify political, commercial, and approval risks early. - Transition local relationships and commitments to the assigned Community Engagement Lead as a project moves toward announcement. Qualifications - 6+ years in economic development, public-private partnerships, infrastructure development, government affairs, or a related field. - Experience structuring and negotiating incentive packages for large infrastructure, energy, technology, or real estate projects. - Strong relationships and judgment across local, state, and regional economic-development stakeholders. - Ability to connect incentives, community benefits, legal commitments, project economics, and approval risk. - Excellent cross-functional coordination, negotiation, and executive-communication skills. 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.
Account Manager Lead - Corporate
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role As the Corporate Account Manager Lead, you'll lead a team of Account Managers across our highest-velocity, highest-volume post-sales segment. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value across a large, fast-moving book of accounts. This is a revenue-critical role at an inflection point: ElevenLabs is scaling fast, and Corporate is where that scale shows up first - more accounts, more velocity, and less room for anything that doesn't repeat well. The decisions you make around segmentation, playbook design, and how AI agents and automation get embedded into everyday AM workflows will define how this motion performs as volume keeps growing. Making ElevenAgents the agent of choice across the Corporate portfolio is a core part of that expansion playbook. You will: - Lead, coach, and develop a high-performing Corporate Account Management team, owning team quota performance, retention, expansion, and cross sell goals across a high-volume book of business. - Drive revenue outcomes as a core mandate - building a team culture where expansions and cross-sells are owned with the same rigor as any quota-carrying sales function. - Design and implement repeatable, scalable playbooks for renewals, expansion, and adoption that hold up across hundreds of accounts, not just a handful. - Embed AI agents and automation into AM workflows by default, so the team can manage growing volume without simply adding headcount. - Champion AI fluency across the team: set expectations, build capability, and create an environment where every AM is actively experimenting with and adopting AI-powered approaches to their work. - Set strategic direction for how the Corporate segment is structured and staffed as the business scales, partnering closely with RevOps, Comp/Finance, and CX leadership. - Represent the voice of the customer in leadership discussions, influencing roadmap, tooling, and revenue strategy. Requirements - 5+ years of experience in Account Management, Sales, Customer Success, or post-sales roles within SaaS, ideally with meaningful exposure to high-volume, transactional or corporate-segment books of business. - Proven track record of owning and exceeding revenue targets (renewals, expansion, NRR/GRR, cross sell), with a clear commercial instinct. - 2+ years of direct people leadership experience - managing AMs/CSMs, driving team quota, and developing talent through coaching and enablement. Passion for building a high-performance, feedback-driven culture grounded in accountability and customer impact. - Deep AI fluency: you use AI tools in your own daily workflow, understand what AI agents and automation can do, and are ready to lead a team through a meaningful shift in how work gets designed and executed. - Strong player-coach mindset: comfortable managing accounts directly while leading others to excel in their own portfolios. - Expertise in post-sales methodologies and best practices (e.g. success planning, adoption frameworks, ROI storytelling) adapted for a high-volume, scaled motion. - Strategic operational thinking: able to make sound calls on segmentation, playbook design, and process at scale as account volume grows. - Strong analytical and operational skills: adept at using data to identify performance trends, optimize workflows, and forecast outcomes across a large book. - Bonus: Hands-on with tools (ElevenLabs, Salesforce, Gong, Lemlist, Sigma) and capable of improving data quality, visibility, and usage insights across the team. Location This role is remote-first, so it can be executed from anywhere in the U.S., with the ability to operate between GMT-4 and GMT-7 timezones required. We'd love for you to be based in New York or San Francisco where you can work out of our office, but it's not a requirement. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Technical Program Manager, Storage & Data Infrastr...
About the Team OpenAI's data and storage infrastructure spans data platforms, online databases, and file/object storage. These systems underpin data ingestion and processing, durable persistence, indexing and retrieval, and product file experiences. As frontier models and agents evolve how they use memory, history and snapshots, the underlying architecture increasingly shapes the capabilities products can deliver—and their latency, reliability, cost and efficiency. About the Role We are looking for a technically deep TPM to independently define and lead multiple programs across data platforms, online databases and storage infrastructure. You will connect model, product and data-consumer requirements to architecture, and work with the relevant engineering teams to take new capabilities through production adoption and repeatable expansion. The design scope is exabyte-scale storage and infrastructure spanning multiple millions of CPU cores. The challenge is not simply forecasting more resources: it is making complete, workload-ready capacity repeatable, with a clear path from product requirements through architecture, deployment and validation. A data pipeline, database query, file operation or execution snapshot can affect whether a product or agent succeeds; you will connect those outcomes to the systems underneath. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Translate model, product and data-platform needs into precise access patterns, consistency, durability, freshness, availability and scalability requirements. Connect memory, history, retrieval and resumable work to capability and end-to-end latency. - Partner with engineering to transform data and storage architecture into repeatable scale units: standardized provisioning, placement, routing, data movement and readiness checks that bring storage, compute and networking online together. Tie each expansion to the workloads it can serve. - Lead cross-stack programs connecting ingestion and processing, databases and indexes, and file/object storage. Make data ownership, schema compatibility, change-data-capture, replay and consumer-readiness contracts explicit so the full data path remains correct and usable. - Make cost and efficiency architectural inputs. Evaluate physical versus logical footprint, index and replication amplification, redundant copies, tiering, caching and network movement against the cost of serving useful workloads. - Drive resilience and recovery programs with explicit failure scenarios and validation. Distinguish database backup, failover and point-in-time recovery from execution/workspace save-and-restore; verify correctness, recovery time, safe resumption and isolation from live traffic. - Coordinate lifecycle correctness across files, objects, databases and data platforms, including metadata, retention, deletion and snapshots. Incorporate privacy, access control, auditability and residency requirements into the design and consumer contracts. - Lead adoption and major migrations through compatibility checks, representative workload testing, staged cutovers, rollback and operational handoff. Improve APIs, guardrails and self-service so new capacity and capabilities can be consumed predictably. - Measure architecture changes through product and platform outcomes: task completion and continuity, data freshness, query/retrieval and snapshot latency, throughput, reliability and cost/efficiency. Use those results to drive durable performance and operational improvements. You might thrive in this role if you: - Have independently owned complex production programs in data platforms, databases or storage infrastructure and can explain the architectural decisions, your contribution and the resulting impact. - Have deep working knowledge of hyperscaler/cloud storage technologies, such as Amazon S3 or Azure Blob Storage, including their performance, placement, resiliency and cost constraints. - Understand the full data and storage stack: product access patterns and APIs; ingestion and processing; databases, storage engines and indexes; caching, replication and data movement; and the durable-storage, CPU and network layers that support them. - Can translate model, product and data-consumer needs into precise platform requirements, challenge assumptions and define evidence that a capability, recovery path or scaling change is ready. - Have led delivery across product, model, data, database, storage and infrastructure teams, especially where no single team owns the end-to-end result. - Can use workload evidence to make tradeoffs across capability, correctness, reliability, latency and cost/efficiency, and build mechanisms that improve decisions as requirements change. - Communicate complex decisions clearly and maintain ownership through production adoption, not only a launch milestone. 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.
Warehouse and Logistics Manager - North America
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 Infrastructure organization builds and operates the compute that trains and serves our frontier models. Behind every cluster is a physical supply chain: servers, accelerators, networking equipment, spares, and tooling that have to be received, inspected, secured, tracked, and delivered to the right site at the right time. The Warehousing and Logistics team owns that flow, and this role runs its day-to-day operations in the US. As Warehouse and Logistics Manager, you'll report to our Global Warehousing and Logistics Lead and own the operational management of all direct and third party logistics providers) of inbound receiving, storage, inventory control, kitting, and outbound shipments to our data center sites and partners. You'll manage the relationships and performance of our third-party warehouses, carriers, and freight forwarders, and you'll be the person on the ground when a shipment is late, a pallet arrives damaged, or a site needs a critical spare tomorrow morning. This is a hands-on operational role on a small team, so you'll move between running the daily floor rhythm and building the processes, controls, and metrics that let us scale as our hardware footprint grows. You should be comfortable making decisions with incomplete information, communicating clearly with engineers and vendors alike, and holding a high bar for accuracy and chain of custody on high-value, security-sensitive equipment. Key responsibilities - Oversee the day-to-day warehouse operations across locations in North America, including receiving, inspection, put-away, storage, cycle counting, kitting, and outbound fulfillment to data center sites for the Anthropic owned warehouse and those run by Anthropic’s partners/ third party logistics providers - Own inventory accuracy and asset tracking for all infrastructure hardware, compute, MEP, spares, and consumables, maintaining clear chain of custody from dock to rack - Plan and execute domestic freight and coordinate international shipments, selecting carriers, managing schedules, and resolving exceptions such as delays, damage, and shortages - Manage third-party logistics providers, carriers, and freight forwarders, including onboarding, service-level tracking, performance reviews, and cost management - Coordinate closely with data center operations, hardware engineering, procurement, and security teams to align delivery schedules with deployment timelines and site readiness - Operate reverse logistics for returns, RMAs, and end-of-life equipment, including secure handling and disposition of storage devices in partnership with security and compliance - Build and document standard operating procedures, checklists, and controls for warehouse and shipping activities, and train warehouse staff and vendors on them - Maintain compliance with safety, hazardous materials, export control, and customs requirements for the equipment we handle - Define and report on operational metrics such as receiving cycle time, inventory accuracy, on-time delivery, and freight cost, and use them to drive continuous improvement - Support capacity planning for warehouse space, staffing, and equipment as our hardware volumes and site count grow Minimum qualifications - Experience managing warehouse or logistics operations for physical goods, including receiving, inventory control, and outbound shipping - Hands-on experience with a warehouse management or inventory management system, and comfort working in spreadsheets to analyze inventory and shipment data - Experience managing third-party logistics providers or carriers, including negotiating service levels and holding vendors accountable to them - Working knowledge of domestic freight (LTL, FTL, and parcel) and the documentation that goes with it - Familiarity with safety and regulatory requirements for shipping and storing IT or electronic equipment, such as hazardous materials rules for lithium batteries - Strong written and verbal communication skills, with the ability to coordinate across technical and non-technical teams and external partners - Demonstrated ability to build processes from scratch and keep operations running reliably as volume and complexity increase - Ability to travel to warehouse and data center sites in the US as needed Preferred qualifications - Experience handling data center or enterprise IT hardware, including servers, GPUs or other accelerators, and networking equipment - Experience with international freight forwarding, customs brokerage, and export control requirements such as EAR - Experience with secure chain-of-custody programs, asset tagging, and data-bearing device sanitization or destruction - Experience directly managing warehouse staff or contract labor - Familiarity with ERP or procurement systems and how inventory data flows between them and warehouse systems - Experience with lean, Six Sigma, or similar continuous improvement methods - Forklift certification or experience overseeing material handling equipment operations - Experience supporting rapid infrastructure buildouts, whether in cloud, telecom, or another hardware-intensive industry 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: $405,000 - $485,000 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.
Warehouse and Logistics Manager - International
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 Infrastructure organization builds and operates the compute that trains and serves our frontier models. Behind every cluster is a physical supply chain: servers, accelerators, networking equipment, spares, and tooling that have to be received, inspected, secured, tracked, and delivered to the right site at the right time. The Warehousing and Logistics team owns that flow, and this role runs its day-to-day operations outside North America as the operations expand to new geographies. As Warehouse and Logistics Manager, you'll report to our Global Warehousing and Logistics Lead and own the operational management of all direct and third party logistics providers of inbound receiving, storage, inventory control, kitting, and outbound shipments to our data center sites and partners. You'll manage the relationships and performance of our third-party warehouses, carriers, and freight forwarders, and you'll be the person on the ground when a shipment is late, a pallet arrives damaged, or a site needs a critical spare tomorrow morning. This is a hands-on operational role on a small team, so you'll move between running the daily floor rhythm and building the processes, controls, and metrics that let us scale as our hardware footprint grows. You should be comfortable making decisions with incomplete information, communicating clearly with engineers and vendors alike, and holding a high bar for accuracy and chain of custody on high-value, security-sensitive equipment. Key responsibilities - Oversee the day-to-day warehouse operations across international locations through management of third party logistics providers, including receiving, inspection, put-away, storage, cycle counting, kitting, and outbound fulfillment to data center sites - Own inventory accuracy and asset tracking for all infrastructure hardware, compute, MEP, spares, and consumables, maintaining clear chain of custody from dock to rack - Plan and execute domestic freight and coordinate international shipments, selecting carriers, managing schedules, and resolving exceptions such as delays, damage, and shortages - Manage third-party logistics providers, carriers, and freight forwarders, including onboarding, service-level tracking, performance reviews, and cost management - Coordinate closely with data center operations, hardware engineering, procurement, and security teams to align delivery schedules with deployment timelines and site readiness - Operate reverse logistics for returns, RMAs, and end-of-life equipment, including secure handling and disposition of storage devices in partnership with security and compliance - Build and document standard operating procedures, checklists, and controls for warehouse and shipping activities, and train warehouse staff and vendors on them - Maintain compliance with safety, hazardous materials, export control, and customs requirements for the equipment we handle - Define and report on operational metrics such as receiving cycle time, inventory accuracy, on-time delivery, and freight cost, and use them to drive continuous improvement - Support capacity planning for warehouse space, staffing, and equipment as our hardware volumes and site count grow Minimum qualifications - Experience managing warehouse or logistics operations for physical goods, including receiving, inventory control, and outbound shipping - Hands-on experience with a warehouse management or inventory management system, and comfort working in spreadsheets to analyze inventory and shipment data - Experience managing third-party logistics providers or carriers, including negotiating service levels and holding vendors accountable to them - Working knowledge of domestic freight (LTL, FTL, and parcel) and the documentation that goes with it - Familiarity with safety and regulatory requirements for shipping and storing IT or electronic equipment, such as hazardous materials rules for lithium batteries - Strong written and verbal communication skills, with the ability to coordinate across technical and non-technical teams and external partners - Demonstrated ability to build processes from scratch and keep operations running reliably as volume and complexity increase - Ability to travel to warehouse and data center sites in the US as needed Preferred qualifications - Experience handling data center or enterprise IT hardware, including servers, GPUs or other accelerators, and networking equipment - Experience with international freight forwarding, customs brokerage, and export control requirements such as EAR - Experience with secure chain-of-custody programs, asset tagging, and data-bearing device sanitization or destruction - Experience directly managing warehouse staff or contract labor - Familiarity with ERP or procurement systems and how inventory data flows between them and warehouse systems - Experience with lean, Six Sigma, or similar continuous improvement methods - Forklift certification or experience overseeing material handling equipment operations - Experience supporting rapid infrastructure buildouts, whether in cloud, telecom, or another hardware-intensive industry 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: $405,000 - $485,000 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.
Executive Communications Writer
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 seeking an experienced Executive Communications Writer to support and scale the ways our leaders tell our story. In this role, you will work closely with the Head of Executive Communications and other organization leaders to reach priority audiences in ways that compellingly communicate Anthropic's position at the AI research frontier, market-leading commercial posture, and industry-leading commitment to public benefit. In this role, a given day might include drafting, editing, brainstorming, on-site event support, and coordinating executive response to breaking news, all in close collaboration with the External Communications team and other leaders. The ideal candidate will be an adept storyteller, an experienced partner to leaders, and a flexible collaborator, able to navigate ambiguous situations with sound judgment. When circumstances dictate, you should also be capable of shaping highly technical materials that reach sophisticated audiences with deep domain experience. Because a company like Anthropic — and a technology like advanced AI — are unprecedented in nature, we’re looking for proactive, visionary candidates who offer fresh perspectives on what executive communications might look like in the AI era. We are particularly interested in candidates with experience and expert capability in at least one domain relevant to Anthropic's roster of executives. These include: science and research; products and AI architecture; enterprise and commercial strategy; and visual storytelling and brand, among others. Responsibilities: - Originate and shape exceptional executive communications that span a wide array of written and rhetorical formats and platforms - Work cross-functionally with External Communications colleagues and other subject matter experts to drive consequential communications moments that serve strategic goals - Support senior leaders in developing their areas of communications focus and in their preparation for major communications moments - Balance a collaborative ethic with a strategic point of view You may be a good fit if you: - Have 8+ years of high level executive communications experience, ideally at a high-tempo, industry-shaping organization - Are an exceptional writer and communicator — both on the page, and in high-stakes, fast-moving environments - Are high agency and low ego - Demonstrate comfort and experience in supporting senior leaders - Have a point of view on how forces of change are reshaping traditional communications disciplines, including executive communications - Display strong operational capabilities - Are self-driven with a bias to action - Show excellent judgment and instincts in navigating ambiguous situations - Maintain epistemic humility while making informed decisions - Bring an open and curious mindset to deeply understand technical concepts 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: $295,000 - $345,000 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.
Data Engineer, GTM
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 Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales. Responsibilities - Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements - Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets - Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data - Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record - Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams - Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture You might be a good fit if you have - 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams. - A passion for the company's mission of building helpful, honest, and harmless AI. - Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP. - Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. - Expertise in SQL and Python to transform data into accurate, clean data models. - Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. - A bias for action and urgency, not letting perfect be the enemy of the effective. - A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. - Experience building an Analytics Data Engineering (or similar) function at start-ups. - A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. 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.
Business Systems Analyst, New Product Introduction
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 We launch new products, models and pricing often, and each launch has to work in our systems on day one. A seller needs to be able to quote it, Deal Desk needs to be able to approve it, billing needs to charge for it correctly, and Finance needs to report on it. This role owns how a launch gets into our quote-to-cash systems, from the first pricing conversation to the first invoice. We are looking for someone who treats every launch as a change across many systems. You will join launch planning early, work out what has to change across catalog, quoting, contracts, billing, tax and reporting, and get all of it ready before the launch date. You will build a good part of the Salesforce work yourself and partner with our Salesforce developers and Billing Engineering on the rest. You will be the named owner of the NPI process for systems, and the person Product, Pricing and Finance call when they want to know what it takes to launch something. We are an AI-first systems team. You will use Claude as a normal part of how you design, build, test and document, and you will look for ways to make launches faster and more repeatable with AI. Key responsibilities - Own the systems side of new product and pricing launches, from the first pricing discussion through launch day and the first billing cycle - Turn a pricing and packaging decision into concrete system changes: SKUs, price books, bundles, discount and approval rules, contract terms, billing plans, tax codes and reporting - Build and run a repeatable NPI playbook: intake, a readiness checklist, sign-offs, a launch calendar and a post-launch review - Join launch planning early with Product and Pricing. Push back on pricing ideas that cannot be quoted, billed or reported cleanly, and offer options that can - Design how new pricing models work end to end, including usage-based, seat-based, tiered, committed and multi-year ramp pricing, and which system is the source of truth for each part - Plan the impact on existing customers: moving customers to new SKUs, grandfathering, amendments and co-termination, and how renewals will work - Own end-of-sale and retirement of products and prices, so old SKUs leave the catalog without breaking renewals, billing or reporting - Coordinate the changes across Salesforce, billing and our tax platform, working with the teams who own each system - Partner with Deal Desk, Sales, Finance, Accounting, Tax and Legal so each team signs off on what changes for them before launch - Make sure sellers and Deal Desk are ready on launch day, including quote templates, approval paths, guidance and enablement - Check every launch after it goes live: do quotes, orders, invoices and Finance reports match? Add the control or reconciliation that catches the gaps - Build and ship declarative solutions yourself where that is the right call, and write specs clear enough that developers can build the rest without several rounds of questions - Use AI to shorten launch cycles, for example generating catalog changes from a pricing spec, checking launch readiness, and testing quote and billing scenarios Minimum qualifications - Experience in GTM or revenue systems as a Business Systems Analyst, Q2C Systems Lead or similar role, with hands-on ownership of product and pricing launches - Experience launching new products or pricing models at a fast-growing company, owning the change across catalog, quoting, contracts and billing - Hands-on experience with Salesforce CPQ, Revenue Cloud or a similar CPQ tool, especially product and pricing data models, price books, bundles and approval rules - Working understanding of how a pricing decision flows into bookings, invoicing, tax and revenue recognition - Experience running a cross-functional process with many sign-offs (Product, Finance, Legal, Sales) and getting to launch on a fixed date - Hands-on Salesforce admin skills (Flow, validation rules, page layouts, approval processes) and comfort building meaningful parts of your own solution - Clear communication across Product, sellers, Deal Desk, Finance, Legal and engineers, adjusting the level of detail for each Preferred qualifications - Experience in GTM, revenue or finance systems roles - Experience with usage-based or consumption pricing, and with billing platforms such as Stripe, Metronome or Zuora - Experience moving existing customers onto new pricing, including migrations, grandfathering and amendments at scale - Experience with tax setup for new products (tax codes, tax engines such as Anrok or Avalara) - Experience with integrations between Salesforce and billing, ERP or provisioning systems, and comfort reading API payloads and integration logs - Basic SQL and comfort using a data warehouse to check launch data - Salesforce Administrator certification. CPQ Specialist, Advanced Administrator or Business Analyst certification is a plus - Hands-on use of AI tools (Claude or similar) in how you design, build or document systems, and the ability to explain how you check their output 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: $270,000 - $315,000 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.
Forward Deployed Engineer - Madrid (Spanish-speaki...
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Madrid. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve - Keep teams moving through clarity and follow-through You might thrive in this role if you - Bring 6+ years of engineering or technical deployment experience that includes customer-facing work - Professional fluency in Spanish and English is required, as this role supports Spanish-speaking customers - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high 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.
Forward Deployed Engineer - London (Spanish-speaki...
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will - Own technical delivery across multiple deployments from first prototype to stable production - Build full-stack systems that deliver customer value and sharpen how we learn - Embed closely with customer teams, understand their needs, and guide adoption of what you build - Scope work, sequence delivery, and remove blockers early - Make trade-offs between scope, speed, and quality; adjust plans to protect delivery - Contribute directly in the code when progress or clarity depends on it - Codify working patterns into tools, playbooks, or building blocks that others can use - Share field feedback that helps Research and Product understand where the models succeed and where they can improve - Keep teams moving through clarity and follow-through You might thrive in this role if you - Bring 6+ years of engineering or technical deployment experience that includes customer-facing work - Professional fluency in Spanish and English is required, as this role supports Spanish-speaking customers - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high 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.
Control Systems Software Engineer, Robotics
About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We’re looking for a Robotics Control Systems Engineer to take on a foundational role within our robotics team. You’ll help architect, implement, tune, and verify the control infrastructure that enables intelligent, reliable, and responsive robot behavior. This is a deeply hands-on role focused on real-time systems, actuation, dynamics, low-level hardware interaction, and whole-robot performance. You’ll spend significant time working directly with robots onsite: debugging behavior, tuning subsystems, running experiments, and providing feedback across mechanical, electrical, and software teams. This role is based in San Francisco, CA, and requires in-person 5 days a week. In this role, you will: - Design and implement real-time control algorithms for robotic systems, including motion control, feedback loops, state estimation, actuator control, and subsystem tuning. - Define the control architecture from low-level actuators and hardware interfaces through whole-robot behavior and policy. - Identify and characterize actuator, hardware, and software parameters through rigorous experimentation, testing, commissioning, and verification. - Work with machine learning engineers to implement reinforcement learning models. - Collaborate across mechanical, electrical, and software teams to integrate control logic with sensing and actuation hardware. - Help inform the mechanical and electrical design to maximize capability and flexibility. - Create the control system architecture; determine the correct level of abstraction from actuators all the way up to whole-robot policy. You might thrive in this role if you: - Have a strong robotics background, including manipulators, mobile robots, or other complex physical systems. - Have experience with actuation, control systems, robot dynamics, estimation, subsystem tuning, or whole-body motion. - Are comfortable being hands-on with robotic hardware, including commissioning, debugging, testing, and iterating on real robots. - Have strong fundamentals in classical control, system dynamics, and estimation, with exposure to modern learning-based or reinforcement learning approaches. - Can move comfortably across the stack, from low-level actuator behavior and hardware interfaces to higher-level algorithms and whole-robot performance. - Have experience writing performant production-quality software in C++ or Rust. - Experience with robotic hardware and enjoy iterating quickly between simulation and real-world testing environments. 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.
Strategic Pursuits Lead, RevOps
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 Strategic Pursuits Lead at Anthropic, you will operate as an elite individual contributor running our largest and most complex enterprise pursuits end-to-end. You will serve as the strategic quarterback for high-stakes engagements with Fortune 100 companies and global institutions, owning the C-suite relationships and discussions each pursuit demands while working hand in hand with the account team and field leadership who own the account. That ownership is an and, not an or, and the pursuit only works when both are true. You will coordinate across product, research, partnerships, legal, and executive leadership, and architect bespoke solutions that unlock transformational business value. When the agreement is signed, you will hand the account back in a healthy state, with the account team positioned to execute what was signed and a playbook behind you. This role reports directly to the Head of Strategic Pursuits. Responsibilities - Lead end-to-end orchestration of Anthropic’s most strategic and complex enterprise pursuits, typically $XXXM+ in potential lifetime value - Own the C-suite relationships and discussions on each pursuit, in full partnership with the account team and field leadership who own the account - Design and execute sophisticated account strategies that position Claude as mission-critical infrastructure for enterprise transformation - Navigate intricate multi-stakeholder decision processes across technical, business, legal, security, and procurement functions - Partner with product and research teams to shape custom solutions and influence roadmap priorities for strategic accounts - Coordinate cross-functional pursuit resources including sales, partnerships, technical specialists, and executive sponsors - Develop innovative commercial structures, deployment models, and partnership frameworks for complex strategic engagements - Drive competitive differentiation in head-to-head pursuits against established technology incumbents - Codify what works into playbooks and constructs the broader commercial organization can reuse, and plan every pursuit's handback so the account team is set up to deliver what was signed - Represent Anthropic in high-stakes negotiations and executive forums with global business leaders You may be a good fit if you have - 15+ years of progressive experience in enterprise technology, with at least 7+ years personally leading strategic deals or major account pursuits - Proven track record of closing multiple $50M-100M+ enterprise technology deals with Fortune 100 companies as the primary deal owner - Deep expertise in complex B2B sales cycles involving C-suite engagement, technical validation, and cross-functional coordination - Demonstrated ability to architect sophisticated solutions that address complex enterprise requirements - Strong understanding of enterprise AI/ML deployment models, cloud infrastructure, and API integration patterns - Exceptional strategic thinking with the ability to synthesize business, technical, and competitive dynamics - Outstanding executive presence and ability to build trust with C-level stakeholders - Experience navigating Fortune 500 procurement, legal, security, and compliance processes - Track record of winning in highly competitive, must-win pursuit scenarios 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 - $2 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.
Applied AI Engineer, Government
About the Team The mission of the Applied AI Engineering team is to enable the secure and impactful implementation of GenAI solutions. We serve as technical thought partners and trusted advisors to our clients, ideating high-value use cases and providing the hands-on guidance necessary to drive projects into production. In this role within the Government team, you will empower agencies to evolve their operations through automated content synthesis, advanced search capabilities, and bespoke applications leveraging our latest foundational technologies and models. About the Role We are looking for a driven solutions leader with a product mindset to partner with our public sector customers and ensure they achieve tangible value with GenAI. You will pair with government agencies (federal, state, and local), policymakers, and other public institutions to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams, subject matter experts, systems integrators, and implementation partners to move from prototype through production. You’ll take a holistic view of their needs and design an architecture using the OpenAI API and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Global Affairs, Applied Research, and Product teams. This role is based in Washington, DC. We offer relocation support to new employees. In this role, you will: - Deeply embed with our most sophisticated public sector customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API and other OpenAI foundational technologies like Codex. - Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap. - Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance, often in collaboration with systems integrators and implementation partners. - Forge and manage relationships with our customers’ and implementation partners’ leadership and stakeholders to ensure the successful deployment and scale of their applications. - Contribute to our open-source developer and enterprise resources. - Scale the Deployment Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. - Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams. You’ll thrive in this role if you: - Bring 7+ years of technical consulting (or equivalent) experience with public sector customers (U.S. federal preferred), bridging technical teams and senior stakeholders. - Have successfully led GenAI or traditional ML implementations for government agencies in close collaboration with systems integrators and implementation partners. - Understand network and cloud architecture, including experience with on-premise deployments. - Are an effective and polished communicator who can translate business and technical topics to all audiences. - Have industry experience in programming languages like Python, Go, or Typescript. - Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. 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.
Senior Backend Engineer, Enterprise Billing Platfo...
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 Team The Enterprise Readiness team builds the systems that allow large organizations to securely adopt and scale LangChain in production. Within that team, this role sits on the billing and monetization pod, responsible for the pricing infrastructure that powers how LangChain charges for usage across every product, from simple per-trace billing to complex, configurable enterprise pricing models. LangChain is hiring a Senior Backend Engineer, Enterprise Monetization Infrastructure to rebuild and scale the systems behind how we price and bill for usage. Today's billing pipeline gets the job done. The next step is making it a genuine strength: a flexible, self-serve platform that lets any team at LangChain launch a new pricing model in days instead of weeks, without needing to understand the internals. This is a high-impact, newly formed role reporting into the Enterprise Readiness team. You'll partner closely with the billing PM, enterprise engineering, and product teams across LangChain to define the primitives and architecture that make pricing fast, flexible, and accurate at scale, including the added complexity of usage-based and token-based pricing for AI products. Location: In-person 5 days/week in San Francisco. What You'll Do - Rearchitect LangChain's billing pipeline into a self-serve platform, building the primitives and components other engineering teams use to launch new pricing models without needing enterprise team review - Design and implement usage-based and token-based pricing infrastructure (Python/Go), including complex, configurable pricing logic beyond simple per-unit charging - Build the underlying system that will eventually power an internal agent and skills interface, letting teams describe a pricing model and go live in days instead of weeks - Reduce the code and complexity required to ship a new pricing SKU through better abstractions and shared components - Implement audit logging, usage tracking, and metering pipelines tied to billing accuracy, with a focus on correctness as pricing complexity increases - Integrate with billing and payment platforms (e.g. Metronome, Orb, or Stripe) to support metering and invoicing - Own billing reconciliation, deduplication, and edge cases like proration, disputes, and credits to ensure invoicing accuracy at scale - Partner with the billing PM and enterprise engineering to define and prioritize the pricing infrastructure roadmap - Write clean, maintainable, and well-documented backend code What You'll Bring - Technical experience - 5+ years of backend engineering experience with Python or Go (both preferred) - Hands-on experience building or scaling usage-based, subscription, or consumption billing infrastructure - Experience with metering, invoicing, or pricing-model logic, ideally including work that let other teams configure or launch pricing changes themselves rather than requiring custom engineering per change - Familiarity with Postgres, Redis, APIs, and modern distributed backend infrastructure - Strong ownership mindset and ability to thrive in fast-paced, unstructured startup environments Nice to Have - Experience with token-based or usage-based cost tracking, especially from LLM/API-first companies Compensation - Annual salary range: $175,000- $240,000 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.
Security Engineer, Offensive Security
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 The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. What You’ll Do: - Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments. - Penetration test specific, high value deployments. - Contribute to AI-assisted security testing tooling and workflows. - Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios. - Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps. Who You Are: - 5+ years of hands-on experience in red teaming and offensive security operations - Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines - Track record of discovering novel attack vectors and chaining vulnerabilities creatively - Experience conducting adversarial simulations against well-defended environments - Strong engineering skills (Python, Go, or similar) - Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes - Collaborative approach, working in close collaboration with the blue team Strong candidates may also have experience with: - Prior work at organizations with state actor threat models - Interest in AI safety and how security engineering contributes to responsible AI developments - Background testing AI/ML systems or agentic workflows - Familiarity with detection engineering and SIEM/EDR platforms from the defensive side - Experience with data center security or hardware-based attacks 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: $300,000 - $320,000 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.
Salesforce Developer
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 Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our core customer motions and quote-to-cash business.: This includes automation throughout the Salesforce platform ranging from core sales automation to product catalog and pricing, quoting and approvals, order and contract management, and the handoff to billing and provisioning. You'll work both autonomously and collaboratively across RevOps, Order Management, Legal, Billing Engineering, Deal Desk, Finance and Accounting, and Product to translate pricing and packaging requirements into scalable Apex, Flow, and integration solutions, and to extend our capabilities with custom code where necessary. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale. Key responsibilities - Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework - Design and build quote-to-cash infrastructure in Salesforce, including the product catalog and pricing data model, quote and order lifecycle, discount and approval automation, and amendment, renewal, and co-termination flows - Extend CPQ and expand into agentic selling with custom pricing and quote-calculation logic, quote and order user experiences, and code built against the package's APIs and data model - Build and own integrations between Salesforce and our billing, provisioning, and finance systems, such as Stripe, Metronome, and NetSuite, directly or via middleware - Support new product and pricing launches by modeling catalog, SKU, and pricing changes so they can be released quickly and reflected consistently in every downstream system - Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow - Partner with Business Systems analysts and Finance to ensure data-model decisions support downstream bookings, forecasting, and revenue reporting - Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling - Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment, particularly around pricing, discounting, and contract changes - Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale Minimum qualifications - Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org - Experience building or extending CPQ and quote-to-cash functionality in Salesforce (Salesforce CPQ, Revenue Cloud, Nue, or similar): product and pricing data models, quote and order lifecycle, approval automation, and amendments and renewals, including custom code written against the CPQ package rather than configuration alone - Experience integrating Salesforce with billing, ERP, or provisioning systems via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts - Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review - Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output - Basic SQL skills and comfort working alongside a data warehouse - Effective communication with sales, deal desk, finance and accounting, product, and engineering stakeholders Preferred qualifications - Salesforce Platform Developer I and II certifications - Advanced Administrator or Application/System Architect certification - Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control, and how they surface in CPQ-specific situations such as large quotes, calculation performance, and bulk amendments - Experience implementing a CPQ solution end to end or re-platforming from one CPQ to another, not just maintaining an existing one - Experience with billing and finance platforms such as Stripe, Metronome, or Oracle, and with usage-based or consumption pricing models - Working understanding of how CPQ design decisions flow through to bookings, invoicing, and revenue recognition - Proven experience scaling Salesforce in a high-growth GTM environment 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: $270,000 - $345,000 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.
Lead, Security Controls Assurance - SOX
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 Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits. As Anthropic prepares for life as a public company, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team owns. As part of Security GRC's technical controls assurance function, you will be the voice on what the IT general controls must achieve to support SOX 404 compliance. In partnership with Internal Audit, you will define control requirements and acceptance criteria for the in-scope engineering systems and infrastructure that underpin financial reporting. You will pair with engineering as they design and implement against those requirements, and validate that what ships actually meets the bar before Internal Audit and our external auditors test it. You are the product owner for control design methodology and continuous control monitoring, initially around ITGCs, but extending into other areas of security and compliance to drive visibility where and when we need it. Key responsibilities - Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, computer operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system rather than bolted on. - Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide (auditability, segregation of duties, change control, immutable logging, evidence retention) before go-live, so controls are not retrofitted after the fact. - Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and maintain a clear view of which changes alter the SOX scope, key control population, or evidence requirements. - Own second-line control monitoring and evidence readiness. Stand up continuous controls monitoring and automated evidence collection for ITGCs (control testing, walkthrough preparation, population and completeness validation, and mapping to the common controls framework). Materially raise automated evidence coverage and cut audit prep time. - Drive control deficiency remediation with cross functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing. - Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, provide technical and compliance assessment of their impact on control design, evidence requirements, and engineering effort before commitments are made. - Maintain alignment with the broader compliance portfolio. Where SOX ITGCs overlap with SOC 2, ISO 27001/42001, or other frameworks, ensure controls are designed once and evidenced once, and that changes made for one framework do not silently break another. Minimum qualifications - Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts. - Have led or been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies. - Have genuine engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits. - Have programming skills in Python or at least one systems language such as Go, Rust, or C/C++. - Have deep familiarity with developer platform, release engineering, cloud infrastructure, or ERP/financial systems control domains. - Understand the role of the second line: you can advise and challenge engineering without taking ownership of their controls, and you know where the line sits between your monitoring and Internal Audit's independent testing. - Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors. - Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet. - Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on. - Default to getting the requirement designed into the system rather than papering over the gap with procedure. Preferred qualifications - A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order. - Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit. - Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines. - Defined or assessed controls for AI/ML systems or agents acting in production environments. - Stood up continuous controls monitoring or automated evidence programs. - Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls. - CISSP, CISA, CPA, or equivalent certification. 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: $410,000 - $510,000 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.
GTM Strategy & Operations - AMER Enterprise Tech
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 GTM Strategy & Operations Business Partner supporting the AMER Enterprise Tech organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise Tech team, one of Anthropic's largest and most strategically significant commercial organizations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives while supporting critical global strategic initiatives. This includes business performance analysis, facilitating operating cadences and powering business reviews, improving operational efficiency, driving strategic initiatives, and supporting the rapid evolution of our sales motions and organization. We're building for a future where AI dramatically amplifies what strategy teams can accomplish. We're hiring people with the technical depth, business judgment, and executive potential to operate at that frontier — leveraging AI to eliminate routine work and redirect energy toward the strategic and creative challenges that move the business. This role will evolve rapidly, and we need someone with the ceiling and ambition to evolve with it. Key responsibilities Strategic Analysis, Operations & Planning - Partner with Sales leaders to analyze and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives - Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives - Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive Data-Driven Decision Support - Analyze sales performance metrics and develop insights to optimize segment performance and improve efficiency using SQL, R, or Python to query, model, and visualize data at scale - Leverage Claude to its full capability - Partner to create, evolve and maintain reporting mechanisms, using data to go from "what" to "why" - Synthesize tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities - Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency Go-to-Market Execution - Develop and maintain use case frameworks to capture and standardize how customers derive value - Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies - Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions Executive Stakeholder Management - Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organization, delivering insights and recommendations with clarity, conviction, and composure - Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives - Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it - Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities Cross-Functional Collaboration - Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business - Support coordination between AMER Enterprise sales segments and partnership teams - Help prepare materials for executive reviews and planning sessions Minimum qualifications - Deep alignment to Anthropic’s mission - Experience in sales strategy, revenue operations, management consulting - Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others - Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modeling, and scenario analysis are second nature to you - Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives - Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.) - Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments. - An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations. - A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team - A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your recommendations. - Track record of driving forward high-growth sales organizations - Disciplined project management and exceptional communication and interpersonal abilities - A desire and readiness to do the best work of your career - Bachelor's degree required; MBA or advanced degree preferred Preferred qualifications - 10+ years of experience in sales strategy, revenue operations, management consulting - Experience in both large Enterprises in technology, finance or professional services, in addition to fast-paced startup building - Experience with AI/ML companies and consumption business models - Prior experience building frameworks for sales use cases or value propositions - Background in scaling sales organizations through 2-3x+ growth periods 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: $270,000 - $310,000 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.
Manager, AI Deployment Engineering (Southeast Asia...
About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. This role is open in our Singapore office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will - Build, manage, and develop a high-performing team of Applied AI Engineers supporting large and complex enterprise customers. - Own the quality and impact of the team’s work across solution design, implementation, production readiness, adoption, and expansion. - Coach the team through decisions involving architecture, model selection, evaluations, reliability, latency, safety, security, governance, and cost. - Establish an operating model for prioritizing accounts and engagements according to customer needs, strategic value, technical complexity, and potential for repeatable impact. - Serve as a senior technical escalation point during critical launches, production incidents, complex integrations, and high-stakes customer decisions. - Partner with customer executives and technical leaders to connect implementation decisions to measurable business and operational outcomes. - Help customers progress from experimentation to production systems and sustained adoption across their organizations. - Partner closely with Sales and Solutions Engineering to create continuity throughout the customer lifecycle and maintain shared accountability for customer success. - Translate customer needs and recurring implementation challenges into actionable feedback for Product, Research, Engineering, Security, and other internal teams. - Identify scalable market patterns, distinguish them from bespoke requests, and advocate for investments that can benefit multiple customers. - Develop reusable architectures, evaluation methods, playbooks, tooling, and enablement that improve time to value across the enterprise portfolio. - Establish mechanisms for measuring production implementations, adoption, customer outcomes, delivery quality, team capacity, and the impact of reusable work. - Hire thoughtfully, raise the technical and leadership bar, and foster a culture of accountability, curiosity, collaboration, inclusion, and continuous learning. - Represent OpenAI with credibility and sound judgment in conversations with senior customer and internal stakeholders. You Might Thrive in This Role If You - Have significant experience managing customer-facing technical teams, such as Applied AI Engineers, Solutions Architects, Forward Deployed Engineers, Customer Engineers, or Technical Account Managers. - Have built or led teams responsible for implementing complex software, data, machine learning, or AI systems in enterprise environments. - Maintain sufficient technical depth to evaluate architectures, ask incisive questions, challenge assumptions, and coach engineers through difficult implementation decisions. - Have experience taking AI, machine learning, or other technically complex systems from prototype to production. - Understand production-system requirements, including reliability, observability, security, privacy, data governance, evaluation, and operational readiness. - Have led teams through ambiguity, competing priorities, escalations, and rapidly evolving products or markets. - Can translate effectively among technical details, customer needs, product strategy, and business outcomes. - Have worked with large organizations involving multiple business units, stakeholder groups, procurement processes, or governance requirements. - Demonstrate strong executive presence and can build trust with engineering leaders, business executives, security teams, and other senior stakeholders. - Have designed operating models, coverage strategies, prioritization frameworks, or repeatable delivery processes for a growing technical organization. - Are a strong cross-functional partner who can navigate disagreement directly while maintaining trust and shared accountability. - Use data and clear principles to allocate limited resources across a large portfolio of opportunities. - Care deeply about developing people and have a track record of coaching team members, raising performance, and building inclusive teams. - Are energized by helping organizations adopt frontier AI responsibly and turn emerging capabilities into durable value. Relevant Experience May Include - Leading teams in applied AI engineering, solutions architecture, forward-deployed engineering, professional services, technical consulting, or customer engineering. - Implementing generative AI, machine learning, developer platforms, cloud infrastructure, data platforms, or other complex enterprise technologies. - Working with customers in semiconductors, media, entertainment, or similarly complex and technology-intensive industries. - Supporting global customers, multi-business-unit implementations, regulated workflows, or large-scale organizational transformations. - Building technical enablement, reusable solution patterns, evaluation frameworks, or customer implementation methodologies. Direct experience in these industries is not required. We value leaders who can recognize common technical and organizational patterns while adapting their approach to different customer environments. 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.
Customer Success Manager, Beneficial Deployments -...
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 Join Anthropic as a Customer Success Manager supporting our Beneficial Deployments team's initiatives in Life Sciences. As a Customer Success Manager for Life Sciences, you’ll be a strategic partner and trusted advisor to the world's leading organizations working to accelerate scientific discovery. You will help them harness the full potential of Claude's capabilities across the API, Claude for Enterprise, Claude Code, and Claude Science to accelerate their scientific work. This is a hybrid role that blends deep 1:1 account management with scaled, one-to-many programs. You'll own a portfolio of named strategic accounts, such as research institutes, academic medical centers, scientific foundations, and mission-driven biotech, where you'll build genuine partnerships grounded in a deep understanding of their research mission, scientific objectives, programmatic goals, and technical capacity. You will help these organizations scale their usage effectively drive model and use case optimization, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. Alongside that portfolio, you'll design and run a handful of one-to-many engagement programs, including webinars, hackathons, cohort-based enablement, and researcher communities, that extend Claude's impact across the broader life sciences ecosystem well beyond any single partner relationship. The insights you gather from these partnerships will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment, making you a key voice in shaping how we build and deliver AI systems that accelerate science for the benefit of society. Key responsibilities: - Build trusting, strategic relationships with research leaders, principal investigators, program directors, and IT teams to understand their organizational goals, scientific priorities, and impact objectives, identifying opportunities for optimization and expanded AI deployment in service of their research mission - Become an expert in Anthropic's products across the API, Claude for Enterprise, Claude Code, and Claude for Life Sciences (including scientific tool integrations and agent skills), understanding the technical nuances and best practices for each to guide partners to the right solutions - Monitor usage patterns and proactively drive adoption across your 1:1 accounts, identifying optimization opportunities and discovering new applications for Claude - Develop and execute change management strategies appropriate for scientific and academic organizational cultures, driving adoption through Train the Trainer programs, Center of Excellence development, and organizational enablement that respects partner capacity constraints, governance requirements, and decision-making processes - Establish the repeatable playbooks, templates, and health metrics that define what "great" looks like for both dedicated and scaled customer success in life sciences at Anthropic - Design and run one-to-many engagement programs for the life sciences community, such as live and on-demand webinars, hackathons and build days, cohort-based onboarding, office hours, and researcher user communities, that move a broad set of organizations from signed to activated and extend impact beyond individual partner relationships - Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations relevant to research and health data (such as HIPAA, IRB, and institutional data policies), so research and IT leaders trust the deployment from day one - Document and quantify value realized through research productivity, time-to-insight, program effectiveness, cost savings, and mission amplification to build compelling cases for continued investment in AI, and partner with Marketing to develop success stories and reference accounts You may be a good fit if you have: - 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering - 3+ years of experience in life sciences research with ample exposure to the intersection of new technologies as a catalyst for accelerating progress - Experience working directly with life sciences organizations, such as academic research institutions, nonprofit research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed. - Deep understanding of regulations, risk, and compliance needs of the industry - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Experience designing and delivering one-to-many customer programs (webinars, hackathons, cohort-based onboarding, user communities, or similar) alongside managing dedicated strategic accounts - Operate data-driven and AI-first, using adoption signals and program effectiveness to guide decisions and building agentic, Claude-powered workflows into how you engage partners, so the scaled motion runs on automation rather than heroics and your time goes where it does the most public good - Technical fluency with the ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns; familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus - Experience explaining and demonstrating technical products to diverse audiences, from bench scientists and computational researchers to institutional leadership - Strategic mindset to identify growth opportunities for expanded scientific and health impact and translate them into actionable expansion plans - Passion for both AI and accelerating scientific progress, with strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player 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: $200,000 - $265,000 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.
Software Engineer, AI for Chip Design
About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Software Engineer to build the research infrastructure and tooling that help OpenAI models design silicon. You’ll turn chip-design workflows into reliable environments for reinforcement learning and evaluation, and make it easier for researchers to run experiments and iterate on new ideas. You’ll move between software engineering, tool integration, and open research problems. We value strong coding fundamentals, clear technical judgment, and independent execution. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: - Build and maintain infrastructure for reinforcement learning environments, evaluations, and long-running experiments. - Integrate electronic design automation (EDA) tools into workflows for RTL generation, verification, and physical design optimization. - Improve experiment reliability, reproducibility, observability, and performance; debug failures across tools, services, and infrastructure. - Develop tooling and model harnesses that let researchers test ideas quickly and measure correctness and power, performance, and area (PPA). - Collaborate with researchers and engineers to turn successful experiments into reusable systems and training workflows. - Own ambiguous projects end to end, communicate progress, and use results to guide the next iteration. You might thrive in this role if you: - Have strong software engineering fundamentals, with experience designing, implementing, and debugging reliable systems. - Can work across a stack, investigate unfamiliar failures, and make practical tradeoffs between speed, correctness, and maintainability. - Have independently delivered substantial software projects and can explain your technical decisions and their impact. - Are comfortable working with researchers on evolving requirements and turning open-ended problems into working software. - Are interested in learning how reinforcement learning and chip-design tools fit together. - Care about developing safe, beneficial AI. Nice to have: - Experience with research infrastructure, distributed systems, experiment orchestration, or ML tooling. - Familiarity with reinforcement learning, model evaluations, or training workflows. - Experience with Python, containerized tools, and reproducible development environments. - Experience with RTL, Verilog/SystemVerilog, EDA tools, formal verification, or chip-design automation. 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.
Manager, Account Executive - Financial Services
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 leader of one of our Enterprise FSI sales teams, you will build and lead teams that bring transformational AI to the world’s leading financial institutions - banks, insurers, capital markets and asset management firms, and payments and fintech companies. These are organizations rethinking how they underwrite risk, serve customers, move money, and meet regulatory obligations - and they’re looking for a partner they trust to take frontier AI from promising pilots into production at the core of their business. You’ll own a broad portfolio of major financial institutions at very different stages of AI adoption, from organizations already running Claude in production to those just beginning their journey. You will lead Enterprise Account Executives, design the coverage and territory model, and build the repeatable, vertical-specific plays that turn early wins into durable, scaled adoption. The selling is technical and multi-stakeholder - platform decisions, model governance, security and procurement rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms - and you’ll shape strategy and operating rhythm while staying personally engaged with executives on the pursuits that matter most. This is a rare opportunity to build an organization, not just run a number: to shape how the financial services industry adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell. Key responsibilities: - Define FSI go-to-market strategy and coverage design, including segmentation, territories, account prioritization, and vertical value propositions, and evolve the coverage model as the business scales - Recruit, coach, and retain Enterprise & Strategic Account Executives with deep financial-services and platform-selling expertise; develop talent and create career paths that keep top performers growing - Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable within each financial-services vertical, partnering with Marketing, Enablement, and partner teams to scale them - Engage personally with C-level executives on priority pursuits, building business cases and value narratives and navigating complex procurement, security, model-risk, and legal processes through to production deployment and expansion - Own the team’s revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate financial-services needs into product and roadmap input - Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, and cloud partners to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader Minimum qualifications: - Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms - A track record of winning and growing enterprise customers, including building C-suite relationships, in financial services (banking, insurance, capital markets & asset management, or payments & fintech) - Experience designing go-to-market coverage for an enterprise sales team, including segmentation, territories, and account prioritization - Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments - Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams - Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities - A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications: - Experience leading other sales leaders (second-line management), or demonstrated readiness to step into that scope - Experience building or meaningfully scaling a verticalized or multi-segment sales organization - Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large financial institutions - Deep familiarity with regulated-industry selling — model-risk management, regulatory and compliance-driven procurement, security review, and the governance expectations of financial institutions - Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators - Familiarity with consumption- or usage-based commercial models and value-based pricing conversations - Experience leading organizations through rapid growth, re-segmentation, or significant change 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: $450,000 - $550,000 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.
Technical Program Manager, Public Sector (Dayton,...
Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring a technical program manager (TPM) to lead and coordinate delivery of agentic workflows for a national security customer. As a TPM on our public sector delivery team, you will own or support a customer account plan, triage customer technical issues, use data and analytics to align internal resources around Scale’s hardest problems, and drive workflows underpinning the reliability of solutions that add direct value to Scale’s Public Sector customers. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers - Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions - Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space - Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous - Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains - Lead a cross-functional team to exceed the customer’s AI/ML objectives - Manage the long-term health of the customer base by identifying and preempting areas of risk or concern - Strategically identify ways we can make customer success repeatable and solve issues for future customers - Address engineering problems alongside the product development teams Must Haves: - An active TS/SCI clearance - 3+ years of experience succeeding in stakeholder management or customer-facing role - A technical background (education or professional experience with computer science, statistics, or engineering) - A deep understanding of generative AI / ML fundamentals like RAG, evals, and agent orchestration - A track record of structured, analytics-driven problem-solving - Excellent verbal and written communication skills - Ability to be work at a cleared facility in the greater Boston area three or more days per week and willingness to travel at least 25% of the time (with occasionally surge periods of 50%) Nice to haves: - Aerospace manufacturing familiarity such as: - Hands-on exposure to CAD product lifecycle management ecosystems, configuration management practices, engineering drawing standards, and digital twin concepts - Prior experience on legacy aircraft sustainment or maintenance, repair, and overhaul programs is a particular plus We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government. - Prior experience at an API technology company and / or managing technical customers using an API - Proficiency in Python or other programming languages 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 Dayton, OH is: $138,400 - $208,000 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.
Technical Program Manager, Public Sector (Boston,...
Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring a technical program manager (TPM) to lead and coordinate delivery of agentic workflows for a national security customer. As a TPM on our public sector delivery team, you will own or support a customer account plan, triage customer technical issues, use data and analytics to align internal resources around Scale’s hardest problems, and drive workflows underpinning the reliability of solutions that add direct value to Scale’s Public Sector customers. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers - Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions - Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space - Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous - Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains - Lead a cross-functional team to exceed the customer’s AI/ML objectives - Manage the long-term health of the customer base by identifying and preempting areas of risk or concern - Strategically identify ways we can make customer success repeatable and solve issues for future customers - Address engineering problems alongside the product development teams Must Haves: - An active TS/SCI clearance - 3+ years of experience succeeding in stakeholder management or customer-facing role - A technical background (education or professional experience with computer science, statistics, or engineering) - A deep understanding of generative AI / ML fundamentals like RAG, evals, and agent orchestration - A track record of structured, analytics-driven problem-solving - Excellent verbal and written communication skills - Ability to be work at a cleared facility in the greater Boston area three or more days per week and willingness to travel at least 25% of the time (with occasionally surge periods of 50%) Nice to haves: - Aerospace manufacturing familiarity such as: - Hands-on exposure to CAD product lifecycle management ecosystems, configuration management practices, engineering drawing standards, and digital twin concepts - Prior experience on legacy aircraft sustainment or maintenance, repair, and overhaul programs is a particular plus We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government. - Prior experience at an API technology company and / or managing technical customers using an API - Proficiency in Python or other programming languages 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 Massachusetts is: $138,400 - $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.
Research Engineer, Takeoff Intel
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 At Anthropic, we are delegating a growing share of AI development to AI systems themselves . Takeoff Intel is the team that measures this recursion from the inside. We're part of the Anthropic Institute . We design evaluations of AI R&D capabilities, build the internal telemetry Anthropic uses to track how much of its own model development is becoming AI-assisted, and develop the quantitative methods that turn those signals into a calibrated picture of where capability growth is heading, so that Anthropic and the wider world have accurate situational awareness on this acceleration. Our work appears in Anthropic's model system cards (we own the AI R&D capability assessments and adapted Epoch's Capabilities Index to our evals); all the data in When AI Builds Itself comes from our team. Internally, our measurements shape research priorities and safety planning; externally, they contribute to Anthropic's public reporting on the pace of AI progress and to collaborations with third-party evaluators. We're a small team that works closely with pretraining, RL, economics, and policy researchers across the company. If you're passionate about measurement accuracy, and feel urgency about safety and situational awareness, you should consider joining us. About the role As a Research Engineer on Takeoff Intel you'll build and run the evaluation and measurement instruments that make this research possible. This is a generalist role on a small team: you'll work across evals infrastructure, large-scale data processing, and analysis tooling, and you'll prioritize shipping. We build instruments that answer real questions and help set priorities, not dashboards that surface noise. We value working prototypes, rapid iteration, accuracy and good prioritization. We often need to go from a vague research question to a running instrument quickly. We're hiring at both junior and senior levels. Responsibilities - Design, build, and run capability evaluations and measurement instruments at scale - Build the data and analysis pipelines that turn large volumes of model outputs and telemetry into reliable metrics - Prototype new instruments fast, validate them, and decide what to keep - Review and supervise AI-written code as a normal part of the workflow - Work closely with research scientists on the team and with partner teams to define what's worth measuring - Contribute to internal write-ups and public reporting You may be a good fit if you - Have shipped an evaluation, data product, or research library end to end - Prototype fast and are comfortable throwing code away - Handle messy, large-volume data without over-engineering - Have run experiments on large language models, not just moved their outputs around - Can work from a vague question rather than a spec - Communicate results clearly and collaborate closely with the researchers whose questions your instruments answer Strong candidates may also have - Built evaluation harnesses or benchmark infrastructure for LLMs - Experience with large-scale ML or data infrastructure (self-driving, observability, or similar) alongside ML exposure - Built tools or libraries that other researchers rely on - A track record of catching what AI-written code gets wrong Some examples of our work - Anthropic ECI: our adaptation of Epoch Capabilities Index published in all recent system cards to measure capability acceleration - AI R&D capability assessments in the Claude system cards - When AI Builds Itself : all data in the article comes from our team 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: $350,000 - $850,000 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.
Operations Program Manager / Associate, Industrial...
At Scale, we are developing the data infrastructure that powers reliable AI systems in the physical world. The Industrial Partnerships team is a critical function for scaling high-quality data collection through a global network of external partners, expanding our capacity and geographic reach. Joining this team offers a unique opportunity to build complex operations and lead cross-functional coordination to launch new partners and transform that network into a world-class operational engine. These roles are responsible for identifying and signing new partner businesses, and coordinating day-to-day operations with existing partners, including performance tracking and ongoing support. You will: - Identify and engage prospective partner businesses and manage the process through to signed agreement - Coordinate day-to-day operations with signed partners including onboarding and ongoing support - Track partner performance and data collection targets - Support hardware deployment and basic troubleshooting on partner premises - Communicate regularly with internal teams (product, strategy) and partner contacts - Help identify and implement process improvements based on operational feedback Ideally you'd have: - Strong professional communication skills in both Spanish and English. - Bachelor’s degree in Business Administration, Economics, Logistics, Industrial Engineering, or related fields (open to both technical and non-technical degrees). - Industry experience (+2) in physical/on-site operations, logistics, business development, account management or analytics. - Experience in the field: warehouses, factories, logistics centers. - Analytical, strategic, and process improvement capability. Nice to haves: - SQL Proficiency - Experience working with CRM systems T his role involves both on-site presence for coordinating operations as well as visiting partner sites on a daily basis. 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.
User Safety & Risk Operations Analyst
About the Team At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base. The Global Safety Response Operations team within the org provides 24/7 coverage for user safety, risk, and regulatory escalations across OpenAI’s products, handling the highest-priority cases that require human judgment and rapid response. The team operates as the core escalations management and delivery arm of OpenAI’s safety operations, ensuring that our products remain safe and aligned with our policies while enabling timely, empathetic, and consistent user support. About the Role We’re looking for experienced Trust, Safety, and Risk Operations analysts who have subject matter expertise in one or more of the following areas: policy enforcement and content moderation, fraud and scam prevention, developer risk, or privacy and regulatory escalations. You’ll be on the front lines of safety escalation management, helping to triage and resolve urgent and sensitive cases. You’ll work across subject matter areas, systems, and processes to ensure operational excellence, develop process improvements and automations, and surface insights and trends. This role is part of a 24/7 global operation team and will be expected to work a standard 5x8 work week, which includes covering the weekend shift each week (e.g., work weeks covering Saturday - Wednesday) We use a hybrid work model of 3 days in the Singapore office per week and offer relocation assistance to new employees. Please note: This role may involve exposure to sensitive content, including material that is sexual, violent, or otherwise disturbing. In This Role, You Will: - Handle and resolve high-priority cases across all harm and risk areas, ensuring timely and appropriate resolution in line with policy and legal requirements. - Operate across multiple systems and tools to manage user reports and tickets, internal escalations, and other high priority investigations. - Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation. - Identify and implement process improvements and automation opportunities to increase efficiency, accuracy, and coverage. - Conduct quality reviews and provide feedback to improve consistency across global teams. - Analyze trends and generate insights from escalation and case data to inform policy, product, model behavior, or detection improvements. - Maintain exceptional accuracy, judgment, and composure under pressure when handling sensitive or time-critical situations. - Participate in 24/7 on-call rotation, including off-hours and weekend coverage as needed. You Might Thrive in This Role If You: - Have 5+ years of experience in trust & safety, content moderation, investigations, fraud, or developer risk operations. - Have experience working in incident response, law enforcement response, or escalations management. - Leverage OpenAI technology to enhance workflows, improve decision-making, and scale operational impact. - Bring deep domain expertise in your specialization area and familiarity with relevant legal, policy, and technical frameworks. - Have a track record of scaling operations , building processes, and working cross-functionally to improve performance and safety outcomes. - Possess exceptional analytical skills able to detect patterns, assess risk, and recommend policy or product changes based on evidence. - Communicate with clarity, empathy, and precision especially in sensitive user-facing contexts. - Thrive in ambiguous, high-autonomy environments and balance speed with diligence. - Are comfortable with frequent context switching , managing multiple projects, and prioritizing impact. 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.
Strategic Sourcing Manager, Data Center Infrastruc...
About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Working alongside leading cloud providers, engineering firms, construction partners, utilities, and equipment manufacturers, we are delivering hyperscale AI campuses that enable the next generation of frontier AI models. The Strategic Sourcing team develops and executes the commercial strategies that ensure our infrastructure programs have reliable access to the equipment, materials, and strategic partners needed to deliver at unprecedented scale. We partner closely with Infrastructure Delivery, Capacity Planning, Design Engineering, Hardware Operations, Finance, Legal, and our external suppliers to build a resilient global supply network capable of supporting Industrial Compute's long-term growth. As we continue expanding globally, strategic sourcing becomes a critical competitive advantage, ensuring our infrastructure programs remain cost-effective, resilient, and capable of executing against aggressive deployment timelines. About the Role We are seeking a Strategic Sourcing Manager, Data Center Infrastructure: Owner Furnished Equipment to lead sourcing strategy for the critical infrastructure systems that power Industrial Compute campuses. This role will develop commercial strategies, negotiate strategic supplier agreements, and manage relationships across engineering, construction, manufacturing, and infrastructure partners responsible for delivering mission-critical facilities. You will work closely with Infrastructure Delivery, Capacity Planning, Engineering, Finance, Construction, and external suppliers to ensure Industrial Compute has the capacity, supplier relationships, and commercial frameworks required to support rapid global expansion. The ideal candidate has experience sourcing major infrastructure systems for hyperscale data centers, mission-critical facilities, industrial construction, semiconductor manufacturing, energy infrastructure, or similarly complex capital projects. Key Responsibilities - Develop long-term sourcing strategies for data center infrastructure systems supporting Industrial Compute. - Lead strategic supplier selection, RFx processes, commercial negotiations, and contract execution for major infrastructure programs. - Build and maintain executive relationships with key suppliers, manufacturers, EPC firms, integrators, and infrastructure vendors. - Partner with Infrastructure Delivery and Engineering to align sourcing strategies with project schedules, technical requirements, and deployment priorities. - Collaborate with Capacity Planning to ensure supplier capacity aligns with long-term infrastructure roadmaps. - Evaluate supplier capabilities across manufacturing capacity, execution quality, financial health, delivery performance, and operational maturity. - Identify and mitigate supply chain risks through supplier diversification, long-term agreements, alternative sourcing strategies, and capacity reservations. - Monitor global market conditions, manufacturing trends, commodity impacts, geopolitical risks, and supplier ecosystems that may affect infrastructure delivery. - Develop supplier scorecards and performance metrics across quality, cost, schedule, responsiveness, safety, and execution. - Support executive sourcing decisions through financial analysis, market intelligence, scenario planning, and supplier benchmarking. - Partner with Legal and Finance to structure scalable commercial agreements that support Industrial Compute's long-term infrastructure strategy. Qualifications - Bachelor's degree in Supply Chain, Engineering, Construction Management, Business, Operations, Finance, or a related field. - 8+ years of experience in strategic sourcing, procurement, supplier management, or infrastructure supply chain management. - Experience sourcing major infrastructure systems, industrial equipment, mission-critical facilities, or large capital projects. - Proven experience negotiating complex commercial agreements with strategic suppliers. - Strong understanding of supplier qualification, contract strategy, supplier performance management, and sourcing governance. - Experience partnering with engineering, construction, finance, legal, and operations organizations. - Excellent analytical, financial modeling, negotiation, and executive communication skills. Preferred Skills Experience sourcing one or more of the following infrastructure systems: - HV to MV Substation and Transformer Equipment - Medium voltage electrical distribution equipment & MV to LV transformers - Low voltage electrical distribution equipment (switchgear, busway, UPS) - Power system protection, control & monitoring products - Prefabricated electrical skids and e-houses - Modular data center infrastructure - Modular cooling plants and their components (Heat exchangers, pumps, chillers, VFD) - Experience working with different forms of cooling (air and water cooled chillers, dry or adiabatic coolers, CRAH, CRAC, Air Handling Units) - Structural steel, enclosure systems and fabrication processes - Steel, stainless steel piping and components (valves, control valves, flanges) Top Skillsets - Experience supporting hyperscale cloud, AI infrastructure, semiconductor, energy, or advanced manufacturing programs. - Familiarity with long-lead equipment planning and supplier capacity management. - Experience working with global supplier networks across North America, Europe, and Asia. - Experience working with EPC, design-build, or integrated project delivery partners 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.
Strategic Account Executive
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced, driven Senior Strategic Account Executive to drive ElevenLabs' growth across Denmark's largest enterprises, with a specific focus on Telecom, Infrastructure & Public Sector. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major Danish telecom operators, infrastructure providers, and public sector institutions — and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents — our end-to-end platform for building and deploying AI voice agents — to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of strategic accounts across Denmark, with a primary focus on Telecom, Infrastructure & Public Sector, to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs' conversational AI capabilities, including ElevenAgents, can drive customer engagement, contact center automation, and operational efficiency for telecom operators, infrastructure providers, and public sector organizations. 3. Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends, particularly as they apply to regulated Danish telecom, infrastructure, and public sector organizations. 5. Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants. 6. Develop and execute account strategies to expand ElevenLabs' presence within the Danish telecom, infrastructure, and public sector space, navigating complex procurement and organizational structures, including public tender processes. 7. Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. 8. Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements 1. 7+ years of quota-carrying strategic sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms. 2. Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. 3. Well-connected in the Danish telecom, infrastructure, and public sector landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C-suite and board level. 4. Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. 5. Deep understanding of enterprise and public sector procurement and legal processes in Denmark, including tender and RFP processes, with the ability to accelerate deal velocity within complex organizational structures. 6. Comfort operating in an early-stage, high-growth environment, including building new playbooks and iterating quickly. 7. Passion for voice and audio AI and how it can unlock transformative value for customers. 8. A hybrid of customer and product-driven mentality that prioritizes client satisfaction and scale. 9. Native or full professional proficiency in Danish; strong English for internal collaboration. Location This is an in-country role with a preference for a candidate based in Copenhagen. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Strategic Partner Development, Data & Product Part...
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 works to bring Claude to high-impact areas such as global health, life sciences, education and economic mobility, largely through partnerships with the organizations already working in those fields. Many of those partnerships involve data or product partnerships to bring Beneficial Deployment impact to bear. The Strategic Data Partnerships team is responsible for structuring and closing those agreements, and we are hiring a business development lead dedicated to this work. You will support the deal work from ideation through signature: scoping what a partner and Anthropic actually want to do together, designing a structure that works for both sides, negotiating the terms and making sure we honour them afterwards. You will work every day with the Beneficial Deployments partner managers who own these relationships, with our legal team, and with the research and product teams who will put the data or the integration to use. This is not a sales role. It is a deal-making role for someone who enjoys structuring strategic business development, is comfortable with deal strategy & operations, and wants that work to matter beyond the commercial outcome. What you'll do - Structure and close partnerships. Work with our partner managers and legal team to establish early what a proposed partnership involves – who the partner is and what the scope of the agreement should be – and help decide what to pursue, what to reshape and what to decline. - Work alongside legal and partner managers. Partner with partner managers & commercial counsel on structure and risk, and help turn recurring deal patterns into standard structures so that we can move quickly and consistently. - Keep everyone informed. Maintain a clear, current view of the partnership pipeline and communicate status across Beneficial Deployments, legal, research and product. What we're looking for Non-negotiable - You care about the public-benefit nature of this work. - 8+ years of experience, most of it negotiating and closing agreements – business development, strategic partnerships, licensing, data or content deals, corporate development or comparable. We are looking for a deal-making background rather than a sales one. - You have personally led deals from term sheet through signature, including agreements that didn't fit a standard template. - You are comfortable negotiating complex terms related to rights, use restrictions, privacy and security obligations – and working closely with lawyers on both sides of a deal. - You have a track record of working cross-functionally, especially with legal teams and with colleagues who own a relationship or program, and you are effective as the business collaborator in that setting. - You can carry many agreements at once, keep track of what was agreed and stay organized without much structure around you. - You exercise good judgment: you are comfortable saying no or proposing a different shape for a deal, and you can operate with incomplete information. Nice to have - Experience working with nonprofits, foundations, multilateral organizations, universities, health systems or governments as counterparties - Familiarity with health, education or research data and the frameworks that govern it - An understanding of how AI models are developed and evaluated, and of product integrations and APIs - Prior experience at an AI lab, a platform company or a data business 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: $240,000 - $300,000 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.
New Product Introduction (NPI) Sourcing Manager, D...
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 AI compute at a scale and pace that outruns what off-the-shelf data center equipment was designed for. Much of the power and cooling equipment behind our next campuses — battery energy storage systems (BESS), grid-forming and grid-following inverters, solid-state transformers (SST), E-STATCOM and other power-quality devices, medium-voltage switchgear, UPS, and liquid-cooling systems — is either new to the market, new to the supplier, or being built at a volume the supplier has never shipped before. The NPI Engineer owns the path from "the supplier has a design" to "the equipment is qualified, manufacturable at rate, and running reliably on site." You sit between our electrical and mechanical design teams, our supply chain and quality teams, and the supplier's engineering and factory organizations, and you make sure every new product or major variant clears the gates — EVT, DVT, PVT, FAT, SAT — before it is trusted with production load. This is a hands-on role: you will spend real time on supplier factory floors, in test labs, and at site commissioning. What you'll do - Own the NPI program for each new power or cooling product (BESS, inverters, SST, E-STATCOM, MV switchgear, UPS, CDUs, chillers) from concept selection through ramp, including the gate schedule, exit criteria, and risk register. - Drive early supplier design engagement: translate our site requirements (fault current, grid interconnection, harmonic and ride-through requirements, thermal envelopes, footprint, serviceability) into product requirements and specifications the supplier can build to, and negotiate trade-offs with their engineering teams. - Lead DFM/DFT/DFx reviews with suppliers so designs are manufacturable at the rate we need, testable in the factory, and serviceable in the field. - Plan and run prototype and pilot builds: define EVT/DVT/PVT scope and sample counts, witness builds, own test plans (type testing, HALT/HASS, thermal, EMC, protection coordination, functional and integration tests), and drive root cause and corrective action on every failure. - Qualify the product for deployment: define and execute first-article inspection, factory acceptance testing (FAT), site acceptance testing (SAT), and integrated system testing with the rest of the electrical and cooling chain, and sign off on production readiness. - Hand off to steady state: transfer qualified products, control plans, test procedures, and known-issue lists to the Manufacturing Quality and Supply Chain Delivery teams, and support them through the first production ramps. - Build the reliability picture: run FMEA/DFMEA with suppliers, define reliability targets and burn-in requirements, and feed field failure data back into the next revision. - Coordinate cross-functionally with design engineering, construction, commissioning, utilities/interconnection, safety, and sourcing so NPI schedules are integrated with campus delivery schedules. - Keep suppliers honest: track readiness and risk with clear metrics, escalate early, and hold technical reviews that resolve issues rather than admire them. You may be a good fit if you have - 8+ years of engineering experience in power electronics, electrical equipment, or industrial energy systems, with at least 4 years in an NPI, product development, or product engineering role that owned a product from prototype through production ramp. - Direct, hands-on experience with at least two of: BESS, utility- or data-center-scale inverters, medium-voltage transformers or switchgear, UPS, STATCOM/power-quality equipment, or liquid cooling systems (CDUs, chillers, hydronics). - Working knowledge of the relevant standards and how they get applied in qualification: UL 9540/9540A, UL 1741 and IEEE 1547, IEEE 2800, IEC 62477 / IEC 62909, IEEE C37 and C57 series, NFPA 70/855, UL 1778, and comparable IEC equivalents. - Experience defining and executing structured qualification programs (EVT/DVT/PVT, FAT/SAT, type testing, reliability testing) and closing failures with disciplined root cause analysis and CAPA. - Familiarity with supplier factory environments — production lines, test bays, quality systems — and the ability to assess a supplier's real readiness to ship at rate. - Fluency in design-for-manufacturing and design-for-test principles and the supplier ECO/change-control process. - Strong systems thinking: you can reason about how an inverter, a battery, a transformer, and a cooling loop behave together at a site, not just in isolation. - Clear written and verbal communication, and comfort driving decisions across engineering, supply chain, and executive audiences. - A bachelor's degree in electrical, mechanical, or power engineering, or equivalent experience. - Willingness to travel 30–40% to supplier factories and data center sites, including internationally. Strong candidates may also have - Experience with solid-state transformers, grid-forming inverters, E-STATCOM, or other emerging power-conversion equipment being introduced to data center or utility applications for the first time. - NPI or product engineering experience at a hyperscaler, a large utility-scale developer, or a Tier-1 power equipment OEM. - Background in grid interconnection studies, protection coordination, or power-system modeling (PSCAD, ETAP, PSS/E, or similar). - Liquid cooling product introduction experience — CDU, rear-door heat exchanger, direct-to-chip, or immersion systems. - Reliability engineering credentials (CRE, Six Sigma) or experience running HALT/HASS programs. - Firmware and controls validation experience for power conversion equipment (inverter control loops, BMS, EMS, PLC/SCADA integration). - Experience standing up or scaling new supplier manufacturing lines, including contract manufacturing and international sites. 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.
Member of Technical Staff (Machine Learning Engine...
Perplexity is seeking an experienced Machine Learning Engineer to improve search quality across the middle and later stages of ranking. We are looking for a strong ranking generalist who can own ambiguous problems end to end and brings exceptional depth in either neural ranking or production ranking systems. Responsibilities - Relentlessly push search quality forward through models, data, evaluation, infrastructure, or any other leverage available. - Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely. - Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate. - Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring. - Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity. - Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome. Qualifications - Deep understanding of search or recommender systems and their evaluation. - Proven ownership of a large-scale production ranking system or a substantial class of quality problems. - Strong machine-learning and software-engineering skills across data, models, serving, and monitoring. - Ability to drive ambiguous, cross-team problems without continuous task decomposition. - Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime. - Minimum 5 years of relevant industry experience.
Customer Engineer, Turkish or Arabic Speaking
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: Dubai, UAE 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 - Fluency in English and Turkish and/or Arabic (written and spoken). - 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 levelling). - 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.
Consumer Marketing Manager, Japan
About OpenAI: OpenAI is an AI research and deployment company. Our mission is to ensure that artificial general intelligence benefits all of humanity. We push the boundaries of AI capabilities while working to deploy them safely and responsibly 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. About the Role: We are seeking an experienced and versatile Japan Consumer Marketing Manager to develop and execute locally relevant consumer programs in one of our most important and culturally nuanced markets. Reporting to the Japan Marketing Lead, this is a hands-on role for a full-stack consumer marketer with deep understanding of the Japanese consumer landscape—someone who can translate strategy into locally resonant campaigns, shape narratives that build trust, and accelerate adoption and repeat usage at scale. The ideal candidate combines strong consumer marketing instincts with excellent execution in complex, cross-functional environments. This role will manage integrated initiatives spanning brand, product storytelling, digital, social, creators, partnerships, community, and lifecycle, while representing the voice of Japanese consumers internally. Key Responsibilities: - Develop and execute Japan-specific consumer marketing plans under the Japan Marketing Lead, ensuring strong local relevance while aligning with global priorities. - Drive full-funnel initiatives that grow users and weekly active users, deepen activation and repeat usage, and improve retention, advocacy, and sentiment. - Act as a local expert and thought partner—bringing deep insights into Japanese culture, consumer behavior, and media dynamics to inform strategy, creative, and execution. - Manage and collaborate with local agencies, creators, and production partners to deliver culturally authentic, high-quality campaigns and content. - Partner closely with cross-functional teams including product marketing, communications, partnerships, and regional leadership to deliver integrated programs with clear impact. - Represent the voice of Japan internally, ensuring local nuance, context, and market realities are reflected in marketing strategy, messaging, and decision-making. Qualifications: - 7+ years of marketing experience, with a strong track record of delivering high-impact consumer campaigns and measurable user or usage growth in Japan. - Deep understanding of the Japanese consumer landscape, cultural context, and local media and marketing ecosystems. - Proven ability to build and execute integrated marketing plans across brand, digital, influencer/creator, and partner channels. - Comfortable operating at both strategic and hands-on executional levels in a fast-paced, ambiguous environment. - Strong network of local agencies, creatives, creators, and production partners; demonstrated experience managing external partners. - Excellent communicator and collaborator, with the ability to influence stakeholders across functions and geographies. 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.
Sales Development Lead - Middle East
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. As the Sales Development Lead based in Middle East , you will own the outbound sales strategy for the region while building and developing a high-performing SDR team. You'll work closely with Account Executives and sales leadership to turn ElevenLabs' breakthrough voice technology into new pipeline for enterprises across Middle East. In this role you will: - Build, coach, and manage a team of SDRs, setting the bar for outbound execution and pipeline generation. - Design and continuously refine the outbound playbook — research, prospecting, cold calling, emailing, and social outreach — for the ME market. - Partner closely with Account Executives to align on prospect feedback, objections, and market trends, and translate that insight into sharper outreach. - Own KPI tracking and reporting for the team — conversion rates, lead quality, and outreach effectiveness — and use that data to optimize strategy. - Collaborate with sales leadership to scale process as the team and market mature. - Act as an escalation point and mentor for the team, unblocking deals and developing individual reps' skills. Requirements - 6-8+ years outbound B2B sales experience, including experience leading, mentoring, or managing an SDR/BDR team. - Track record of personally securing new business meetings and a track record of coaching others to do the same. - Demonstrated ability to build opportunity-sized lead lists in new markets and categories. - Experience building and scaling outbound process, tooling, and playbooks from the ground up. - Fluency with the full suite of prospecting tools (e.g., sales engagement platforms, enrichment tools, CRM). - Curiosity — asks insightful questions and builds solutions from a foundation of knowledge and insight. - Self-motivated and comfortable operating with autonomy while keeping a team aligned and driven. - Strong time management and prioritization skills, able to balance own pipeline work with team leadership. - Excellent verbal and written communication skills in English. Second language (Arabic) is a plus We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Account Director, Mid-Market
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role This role is part of our APAC Mid-Market team which will own both named account pursuits and executing programmatic sales via OpenAI partners. You’ll be a key driver of writing the playbook for Mid-Market in APAC as an AI Native Sales team. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in India and can be based out of either Delhi, Mumbai or Bangalore. For locations with an office, we operate in a hybrid model of 3 days in the office. In this role, you'll: - Manage a portfolio of accounts, developing and executing strategies for a comprehensive regional go to market plan. - Win lighthouse accounts through outbound sales outreach. - Partner with solutions and research engineering to build and execute complex customer programs and projects. - Own a consumption revenue target. - Manage consumption revenue forecasts. - Support the recruitment and onboarding of other teammates. - Support the development of company culture. We're seeking someone with experience including: - 7+ years of direct selling experience in Data and AI or Cloud. - Designing and executing complex go to market strategies. - Orchestrating programmatic sales motions with partners. - Experience operating in fast paced, high growth environments. - Working directly with c-level executives. - Leading high-visibility customer events (CAB, conferences, product launches, etc.). - Hands on experience with AI tools. You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. 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.
Research Engineer, Cybersecurity RL (Reinforcement...
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 The Security team protects Anthropic's AI systems and maintains the trust of our users and society. About the Role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML. Responsibilities - Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions - Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings - Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest - This role may require participation in an on-call rotation. You may be a good fit if you - Have experience with machine learning. - Have experience in cybersecurity research. - Have strong software engineering skills. - Can balance research exploration with engineering implementation. - Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have - Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. - Experience participating in or building CTF competitions and cyber ranges. - Academic research experience in cybersecurity or other experimental & research background. - Familiarity with RL techniques and environments. - Familiarity with LLM training methodologies. 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.
Senior Software Engineer — Infra Agent Systems
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. Hybrid in Amsterdam 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, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. 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.
Senior Customer Engineer, Japan
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. Location: Tokyo, Japan 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, Zero Trust 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. - 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. Compensation This role features a competitive base salary and a variable commission structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. 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.
Site Selection Lead
About the Team OpenAI is building the world’s most advanced AI infrastructure ecosystem. The Site Readiness & Development team owns the upstream diligence and development work required to convert powered-land opportunities into executable infrastructure options. About the Role The Site Selection Lead sets the site-selection strategy for powered-land and greenfield/brownfield opportunities. This role defines, with cross-functional partners, what makes a site attractive, executable, and scalable, then turns that shared rubric into portfolio choices and deployment plans. Key Responsibilities - Own the site-selection strategy across priority geographies, including market maps, pipeline segmentation, source refreshes, live-location tracking, and portfolio prioritization. - Convene Power, Land, Development, Engineering, Construction, Environmental, Community, Commercial, Legal, and Finance partners to define the shared rubric for a high-quality site. - Translate that rubric into clear screening criteria across power readiness, land control, timing, scale, cost, community risk, environmental constraints, AHJ path, budget, schedule, and counterparty credibility. - Orchestrate Commercial, Legal, Finance, Power, and Development teams to shape exclusivity, initial terms, site-control strategy, funding assumptions, and the path to deployment before deeper commitment. - Build a deployment plan for top candidates that identifies capacity, sequencing, capital implications, critical-path approvals, risks, owners, and stage-gate decisions. - Lead conceptual site planning and test-fit screening using boundaries, map layers, buildings, substations, roads, parking, laydown, stormwater, utility corridors, acreage, and estimated load. - Maintain a single decision-support view of pipeline stage, site health, power readiness, finance review, maps, project evidence, outstanding source data, owners, deadlines, and escalations. - Present executive-ready advance, defer, or stop recommendations with clear trade-offs, resource asks, and next steps; hand qualified sites to the Development Lead with a complete screening record. Qualifications - 6+ years in site selection, infrastructure development, data center development, energy development, commercial real estate, or a related field. - Strong strategic judgment on market intelligence, portfolio construction, site viability, counterparty credibility, and prioritization. - Demonstrated ability to lead cross-functional organizations through ambiguous decisions and align technical, commercial, legal, and finance stakeholders. - Commercial and financial fluency sufficient to connect site quality, deal terms, capital implications, schedule, and deployment risk. - Experience building site funnels, screening frameworks, mapping or test-fit workflows, dashboards, and executive decision materials. 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.
Agent Reliability Engineer, GTM
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 TEAM: GTM Engineering builds the AI agents, systems, and automation that power how our go-to-market teams work. We partner across Sales, Marketing, Customer Success, Support, and other GTM functions to identify high-leverage problems and build solutions that improve speed, quality, and scale. Our work spans four core areas: - Identify — find high-leverage GTM workflows where AI can meaningfully improve how we operate - Build — design, build, and deploy production AI agents and automated workflows across GTM - Enable — drive adoption through thoughtful rollouts, playbooks, best practices, and ongoing enablement - Evangelize — share what we build and learn externally through content, demos, talks, and open source examples ABOUT THE ROLE: You'll own the health, cost, performance, and business impact of the GTM Agent, and build the feedback loops that keep it improving. Because we build the platform we run on, you'll also operate the agent on LangSmith the way we tell customers to, and turn that practice into the reference story enterprises keep asking us for. You'll work across Python 3.11, FastAPI, LangGraph, DeepAgents, LangSmith, Supabase Postgres, BigQuery, Anthropic and OpenAI models, and Slack and Next.js surfaces. WHAT YOU'LL DO: - Monitor production health across every graph, catching errors, slow runs, expensive runs, and silent failures before reps report them - Triage incoming issues from Slack, tickets, and rep reports, fixing small things directly and routing the rest to the right owner - Run the weekly eval suite, investigate failures, and turn real production bugs into permanent regression tests - Track cost and latency by model, graph, use case, and role, and recommend concrete changes to model choice, reasoning effort, and caching - Track usage and adoption per rep and per feature, and own the weekly health report the team runs on - Build the business metrics that show leadership what the agent is worth, from reply rates and meetings booked to hours reclaimed and ROI - Build our own monitoring and alerting on LangSmith, and write the “how we run our own agent” story for customers WHAT YOU'LL BRING: - Strong production Python and SQL, comfortable working in traces, logs, and warehouse tables - Real experience running LLM applications, including tracing, evals, and prompt and cache mechanics - SRE or production operations instincts: percentiles, SLOs, and separating noise from real pattern - Healthy skepticism about metrics; you check what a number actually counts before you publish it - Clear writing, and interest in publishing what you learn - High agency; you notice what's missing and take initiative to build it NICE TO HAVES: - LangGraph or LangSmith experience - Experience building an eval suite from scratch - BigQuery or dbt - Prior DevRel-adjacent writing - Empathy for sales and go-to-market users Salary: $150,000 - $190,000 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.
Product Manager, AI
Product Manager, AI at Hims & Hers. Femtech Insider network role. Industry tags: Community and Lifestyle, Consumer Goods, Cosmetics, Health Care, Healthcare, HealthTech, Lifestyle, Medical Diagnostics, Mental Health, Mobile App, Telehealth, Wellness. Skills: Product Management, User Experience, Data Science, User Experience Design (UX), A/B Testing, Health Technology. Locations: United States, Remote. Work mode: remote.
Software Engineer, Host Assurance
About the Team Security is foundational to OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security organization protects OpenAI’s technology, people, and products by building and operating deeply technical systems that must work reliably at massive scale. Our work underpins OpenAI’s commitments around safety, privacy, and security across research, products, and emerging platforms. The Host Assurance team exists to make bare metal and VMs dependable & scalable foundations for OpenAI: secure by default, verifiable in practice, and resilient across providers and operating models. We operate at the trust boundary between hardware and cloud-scale orchestration, ensuring that hosts are eligible to safely run workloads with predictable security properties and auditability. About the Role OpenAI is seeking a Software Engineer, Host Assurance to build and operate the services, APIs, and host software that establish and maintain trust in our compute infrastructure. You will own production software from design and implementation through testing, rollout, observability, and operation. Your work will support capabilities such as machine identity, certificate issuance and enrollment, secure bootstrap, and host attestation across bare-metal and VM environments. Success in this role requires strong technical judgment, the ability to reason across software and host-system boundaries and learn unfamiliar parts of the stack, and a practical mindset for building systems that are secure, reliable, and usable in fast-moving production environments. The systems you build will sit on the critical path of OpenAI’s frontier infrastructure investments and will directly shape how large amounts of compute are brought online - securely, responsibly, and at global scale - underpinning long-lived commitments around privacy, security, and reliability. You will partner closely with infrastructure, research, and confidential computing initiatives—including novel hardware platforms and emerging deployment models– to make the secure path the easiest path. This role is well suited for engineers who enjoy working across trust services, operating systems, hardware and firmware validation, and infrastructure security, and who are excited by ambiguous, high-impact problems at the boundary of hardware and large-scale systems. In this role, you will: - Design, build, and operate components of the Host Assurance platform that establish trust in both bare-metal & VM hosts before they are eligible for production use. - Help ensure hosts are verifiably trustworthy from delivery and installation through secure bootstrap and readiness to join orchestration systems. - Build and improve systems such as machine identity, certificate issuance and enrollment, HSM-backed or key-management-backed trust services, host attestation, measurement, and baseline verification tooling. - Validate delivered hardware and firmware against vendor claims and continuously detect and manage drift over time. - Eliminate insecure bootstrap patterns while preserving deployment throughput and operational reliability. Partner with provisioning, fleet, and orchestration teams to deliver paved paths where the secure approach is the easiest approach. - Own software components through implementation, operational readiness, launch, and ongoing operation. Define readiness criteria, validate behavior under load and failure, establish monitoring and actionable alerts, plan staged rollouts and tested recovery procedures, and maintain runbooks. Use production experience to improve reliability and reduce operational burden. - Participate in production support via oncall rotation. - Help define observable, testable security properties for host platforms and improve the telemetry and validation needed to enforce them in practice. - Work across different deployment models and provider boundaries while maintaining a consistent bar for host trust outcomes. You might thrive in this role if you: - Have strong software engineering experience building and operating reliable production systems at scale. - Bring depth in distributed systems, backend or platform engineering, operating systems, or infrastructure security. Experience with PKI, HSMs, machine identity, attestation, secure boot, or hardware security is valuable but not required. - Can reason across services, APIs, and host software, and learn the boot, firmware, and hardware trust mechanisms relevant to your work. Apply sound judgment to trust boundaries, correctness, and safe failure behavior. - Have experience writing production quality code and ability to reason clearly about failure modes, operational safety, and long-term maintainability. - Have experience supporting critical production systems at scale, such as being on-call. - Balance rigor with pragmatism, and care about making strong security controls deployable in real-world environments. - Are self-directed, low ego, and willing to work across disciplines to solve the most important problems. - Enjoy building in ambiguous spaces where the architecture is still emerging, stakes are at all time high, and the future is being built. 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.
Member of Technical Staff (Software Engineer, Infr...
ABOUT THE ROLE The Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team. You do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization. KEY RESPONSIBILITIES - Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries. - Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation. - Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use. - Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads. - Debug complex production issues across service and infrastructure boundaries, then turn the findings into durable architectural improvements. - Set technical direction for complex infrastructure systems, lead high-impact programs across teams, and establish durable technical standards through collaboration with infrastructure, product, AI, and security partners. QUALIFICATIONS - 4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems. - A track record of owning complex production systems end to end and delivering sustained technical impact across teams. - Demonstrated ability to set technical direction, lead through influence, and raise the engineering bar through architecture, design reviews, and mentorship. - Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java. - Meaningful experience across at least two infrastructure domains, such as cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability. - Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Paid Media Manager
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role We’re hiring a paid acquisition marketer to help scale our growth engine. You’ll build and optimize full-funnel campaigns across Google Ads, LinkedIn, Meta, Reddit, YouTube, and emerging developer-focused platforms—turning paid media investment into qualified signups, pipeline, and revenue. This is a highly analytical, hands-on role with ownership spanning channel strategy, campaign execution, creative testing, landing-page experimentation, and measurement. You’ll work closely with creative, content, product marketing, sales, lifecycle, data, and engineering to improve performance at every stage of the funnel, from the first impression through downstream conversion. The ideal candidate combines strong paid media expertise with commercial judgment, intellectual curiosity, and a bias toward action. You’re comfortable managing meaningful budgets, digging into attribution and cohort data, and running structured experiments to uncover new growth levers. You’ll thrive here if you move quickly, communicate insights clearly, and are energized by the opportunity to go above and beyond when a high-impact opportunity arises. What you’ll do - Own and scale paid acquisition across channels including Google Ads, LinkedIn, Meta, Reddit, YouTube, and emerging developer-focused platforms - Build and optimize full-funnel campaigns that drive qualified signups, pipeline, and revenue, not just clicks - Develop channel strategy across search, paid social, retargeting, and experimentation budgets - Test ad copy and creative angles tailored to technical audiences. - Partner closely with creative, content, and product marketing to ship high-performing ad concepts and landing page iterations - Manage campaign structure, keyword strategy, audience segmentation, and bidding to improve CAC and payback - Own measurement and attribution, with support from ops and engineering: tracking setup, conversion quality, offline conversion imports, and incrementality testing - Analyze performance trends and communicate results clearly through dashboards, reporting, and weekly insights - Run structured experiments to identify new growth levers (new audiences, formats, offers, onboarding flows) - Collaborate with sales, lifecycle, and data teams to improve lead quality and conversion rates downstream - Stay current on platform changes, AI-driven campaign formats, and new opportunities in the paid media ecosystem You may be a fit if you have: - Proven ability to manage meaningful monthly budgets and scale spend efficiently while maintaining performance - Deep expertise in Google Ads (Search, YouTube, Performance Max) and at least one major paid social platform - Strong understanding of funnel metrics: CAC, LTV, payback period, and conversion rates - Experience with analytics and attribution tools. - Highly analytical mindset with comfort in spreadsheets, cohort analysis, and performance modeling - Ability to move fast, test often, and iterate based on data and user insight - Comfortable working cross-functionally in a high-ownership, fast-paced environment - Experience in B2B paid media. - Willingness to go above and beyond—this isn’t a strict 9–5 role, and while we respect work-life balance, the right person is energized by the occasional late-night project or weekend ping if it means a big opportunity for the business.
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