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About the Role As a Financial Systems Engineer, you will design, build, and operate the financial systems and integrations that support critical accounting processes across Oracle Fusion Cloud and OpenAI’s broader finance technology ecosystem. You’ll partner with Corporate Accounting, Accounts Payable, Revenue Accounting, Supply Chain, Engineering, Data, Tax, and other cross-functional teams to deliver reliable, scalable, and auditable solutions. This role requires deep Oracle Financials expertise, strong accounting process knowledge, and an engineering mindset. You will work across corporate accounting processes including equity, payroll, accruals, leases, mergers and acquisitions, intercompany, and close; transform Accounts Payable processes; and design solutions for complex supply chain accounting, cost accounting, ASC 606 revenue recognition, and compute and data-center accounting. You’ll help redefine how finance teams work by applying automation, AI, and agentic approaches to reduce manual effort, strengthen controls, and accelerate accounting and close processes. 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: - Own the solution design, delivery, and continuous improvement of Oracle Fusion Financials and connected finance platforms, acting as both a hands-on engineer and a trusted functional partner. - Partner with Corporate Accounting to improve processes for equity, payroll, expense accruals, lease accounting, mergers and acquisitions, reconciliations, and the month-end and quarter-end close. - Work with Accounts Payable to deliver transformation initiatives across invoice intake, validation, matching, approvals, accounting, payments, supplier experience, exception management, and operational reporting. - Design accounting solutions for complex supply chain initiatives across procurement, receiving, inventory, Supply Chain Financial Orchestration, costing, intercompany flows, logistics, and the lifecycle from acquisition through sale. - Apply strong cost-accounting knowledge to standard cost, landed cost, purchase price variance, inventory valuation, manufacturing and logistics costs, cost of goods sold, and related financial controls. - Partner with Compute and Infrastructure Accounting to design systems solutions for data-center and compute operations, including asset capitalization, construction-in-progress, placed-in-service, depreciation, lease accounting, reconciliations, and close. - Partner with Revenue Accounting, Supply Chain, and Engineering to architect scalable Oracle-integrated solutions for hardware and other complex or nonstandard revenue arrangements under ASC 606, translating contract terms and operational events into accounting rules, data flows, controls, reconciliations, and a timely revenue close. - Translate complex accounting requirements and operational events into system architecture, accounting rules, data models, controls, test scenarios, and integrations with Oracle. - Architect integrations between Oracle and upstream or downstream product, revenue, payroll, treasury, data, and operational systems using REST APIs, events, middleware, and governed data pipelines. - Design and implement Oracle Financial Accounting Hub solutions from scratch for multiple upstream subledger applications, including event models, accounting rules, mappings, integrations, controls, reconciliations, and end-to-end traceability. - Resolve complex intercompany accounting issues involving foreign exchange, balancing, reconciliations, netting, settlement, and multi-entity operations. - Build AI-enabled and agentic finance solutions—including assistants, model context protocols, automated workflows, dynamic dashboards, and conversational access to enterprise data—to reduce manual work and improve decision-making. - Create monitoring, exception handling, reconciliation, regression-testing, and control frameworks so automated processes remain reliable, auditable, and supportable during close. - Triage critical production issues, lead root-cause analysis, and deliver permanent fixes that improve both system design and finance operations. You might thrive in this role if you have: - 10+ years of experience in financial systems engineering, ERP, accounting technology, or solution architecture roles, with demonstrated ownership of complex finance transformation initiatives. - 8+ years of hands-on experience with Oracle Fusion Financials and experience with several of the following: General Ledger, Payables, Fixed Assets, Lease Accounting, Intercompany, Cash Management, Cost Accounting, and Financial Accounting Hub. - Experience delivering at least two full-cycle Oracle Fusion implementations or comparably complex enterprise finance programs. - Strong knowledge of corporate accounting processes, including equity, payroll, expense accruals, lease accounting, mergers and acquisitions, reconciliations, and financial close. - Hands-on experience transforming Accounts Payable processes and integrating procurement, invoicing, tax, payments, suppliers, and reporting capabilities. - Deep understanding of supply chain accounting, Supply Chain Financial Orchestration, inventory and cost accounting, standard and landed costs, purchase price variance, logistics costs, and cost of goods sold. - Strong knowledge of ASC 606 and experience designing Oracle-integrated accounting solutions for hardware, supply chain, and other complex or nonstandard revenue arrangements in partnership with Revenue Accounting and Engineering teams. - Experience implementing Oracle Financial Accounting Hub from initial design through production for multiple upstream subledger applications, including accounting rules, integrations, controls, and reconciliations. - Experience Working with enterprise integrations teams using Oracle Integration Cloud, or similar middleware, Oracle Fusion APIs, event-driven patterns, Python, SQL, and modern data platforms. - Demonstrated interest and experience in applying AI, agents, automation, and nontraditional engineering approaches to finance operations and close processes. - Experience supporting compute infrastructure or data-center accounting—including asset capitalization, construction-in-progress, placed-in-service, depreciation, and lease accounting—is a strong advantage. - Experience resolving global intercompany challenges involving foreign exchange, multi-entity balancing, netting, settlement, and reconciliations. - A strong controls and compliance mindset, with the judgment to improve automation and user experience without compromising auditability or data integrity. - Exceptional communication skills and the ability to translate between Accounting, Finance, Engineering, Data, and business stakeholders. - A bias for action paired with systems thinking—you can solve urgent operational problems while designing scalable foundations for future growth. - Bachelor’s or Master’s degree in Information Systems, Computer Science, Engineering, Accounting, Finance, or a related field (or equivalent experience). About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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 Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Responsibilities - Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. - You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. - Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment - Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders - Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships - Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production - Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making - Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements - Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint You may be a good fit if you - Have 10+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale. You won’t have a big direct team to delegate too but will instead be able to treat the entire cross functional organizations at a jobsite as your team. - Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties. - You should understand data center design and construction as a simple and repeatable process that allows you to build and optimize delivery without a playbook and with minimal processes and tools handed to you. If you can think about building a data center the way kids might build a tree fort or construct a lego set, we want to talk. In this role you will often be on an island and responsible for your own destiny. You will have free reign to develop your own approaches with the mission guidance being your only bounds. No one will be there to empower your efforts; you will create your own influence by building relationships at the site and diving in at all phases to deliver success. You must thrive operating with ambiguity and have a willingness to own project outcomes, knowing that the buck stops with you. In this role, it is imperative that you are as comfortable in boots on a job site working to solve productivity issues with a group of blue collar trades as you are working across executives at development and contractor partners to optimize contract and commercial structures that incentivize delivery speed. It's a bonus if you - Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems - Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self performance of hyperscale data center development projects. - Prioritize extreme ownership and have the ability to create winning cultures across diverse job sites. - Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities 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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As an HR Business Partner , you will support managers and employees throughout the employee lifecycle while helping Mistral AI build scalable people practices as the company grows. You will be a trusted partner, providing guidance on people matters and helping leaders make informed decisions. You will work across both day-to-day people topics and longer-term initiatives, from employee relations and career development to performance reviews, learning, and talent retention. You will play a key role in creating a consistent employee experience across multiple countries while ensuring compliance with local employment regulations. You will also help shape how the People team operates by improving policies, processes, and programs that support the business and reinforce Mistral AI's culture. What you will do - Partner with managers to provide trusted guidance on people-related matters. - Support a positive and productive work environment by proactively addressing employee concerns and engagement. - Use People metrics to inform decisions and provide insights to managers and leadership. - Champion and reinforce Mistral AI's culture across the organization. - Develop and evolve talent retention initiatives that support long-term employee growth. - Design and improve learning, career development, and performance review programs. - Build scalable People policies and processes that promote sustainable ways of working, including work-life balance. What We're Looking For - Bachelor's or Master's degree in Human Resources, Business Administration, or a related field. - 5–8 years of progressive human resources experience, with most of that experience gained in a startup or high-growth environment. - Experience supporting employee populations across multiple countries, particularly in EMEA, with a strong understanding of French employment law and human resources practices. - Experience managing the employee lifecycle, from onboarding through retention and offboarding. - Proven ability to develop and implement human resources strategies that support business goals and deliver measurable outcomes. - Excellent communication and interpersonal skills, with the ability to build trusted relationships across the organization. - Strong analytical and problem-solving skills. - A hands-on approach, with experience improving human resources processes to increase efficiency, enhance the employee experience, and maintain compliance with employment regulations. - A builder mindset with a practical approach to creating scalable people practices. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth. As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as: Enterprise Control Plane : Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used. Enterprise Data Plane : Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness. Connector Marketplace and Activation : Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem. Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products. Responsibilities - Set technical direction for your team and guide architecture decisions across the enterprise platform. - Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently. - Shape roadmaps with product and design, applying strong technical judgment and product intuition. - Set a high bar for reliability, code quality, testing, and maintenance. Lead incident response and ensure platform changes and connector migrations are rolled out safely. - Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt. - Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove barriers to adoption. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Work with Perplexity’s co-founders to deliver enterprise engineering priorities. Qualifications - Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability requirements of enterprise customers. - Domain expertise in at least one of the following areas: - Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency requirements for regulated industries. - Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI. - Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems. - Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability. - Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay robust and reliable. - Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively. - Experience building and managing high-performing engineering teams, with a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent. - Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions. - Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus. - 8+ years of engineering experience, with at least 4 of those years as an engineering manager.

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 Data Center Security Engineering (DCSE) secures Anthropic's data center footprint; this role covers how the sites are designed and built to be secure. Much of that footprint is designed and built with partners, so a site's security is decided early: in what Anthropic hands the people who build it, and in how rigorously the delivered systems are tested against it. You'll design and specify the physical security systems for a site: perimeter and vehicle barriers, intrusion detection, video, security lighting, and the site penetrations and utility entry points that bypass them. Design firms and integrators produce the site drawings and install; you specify, review, and verify. You'll write the performance requirement and verification method behind each control, review every site design against them at each stage with redlines a design team can act on, test in the field that what was built performs as specified, and re-verify post-acceptance changes. This is a foundational role. You'll own Anthropic's physical security reference design package (typical details, reference drawings, schedules, and test procedures) in the form partners build from, and keep it current against each site's threat basis and the sites actually being built. You'll set the technical position for a site and decide what applies where; where a requirement can't be met as written, you'll engineer the compensating control and document the deviation. You'll work with the rest of DCSE, with Anthropic's design, construction, and real estate counterparts, and directly with the vendors who build to the package. We use Claude throughout our engineering workflow and expect you to as well. The same seat covers the team's security operations control rooms. You'll set their design and operational requirements and accept delivered systems against them, working day to day alongside the team's platform engineers, who own the software and compute that run in them. This role involves regular travel to data center sites. These are critical services, and this role participates in an on-call rotation for them. Key responsibilities - Produce a vendor-ready design package for perimeter barriers and hostile vehicle mitigation, intrusion detection and its zoning, video coverage, security lighting matched to camera performance, and penetration protection: performance specifications, typical details and reference drawings, and device and zone schedules, written so a design firm can build to them and a test can prove them - Define the per-site engineering basis: which requirements apply to a site based on its risk profile and the threats it faces, with compensating controls and documented deviations - Write the acceptance criteria and test methods: the verification method behind each requirement and the evidence a site must produce to pass acceptance - Set standoff, structural hardening, and site layout criteria for new designs, tied to the threat basis they derive from - Run field verification: commissioning and acceptance testing of perimeter, detection, video, and lighting against performance criteria (detection coverage tests, photometric measurements, video quality checks) - Write the operational and design requirements for security operations control rooms: console layout, wall versus workstation content, supervisor placement; room network, power, backup, and resilient communications to the team's segmentation and hardening baseline - Own control room acceptance: factory and site acceptance criteria written before the build, then accept or reject delivered systems (video wall, consoles, cabling, fit-out) against them Minimum qualifications - Have designed or specified physical security systems (perimeter barriers, intrusion detection, video, security lighting) for campus-scale sites: multiple buildings, a secured perimeter, many detection zones - Read and produce construction documents (site plans, civil and electrical drawings, device schedules, submittals) using standard design and markup tools such as AutoCAD, Revit, or Bluebeam, and find what is missing as readily as what is wrong - Write performance requirements that are testable: each states what must be true, how it will be verified, and what evidence shows it - Have run commissioning and acceptance tests against performance criteria and rejected work that did not meet them - Derive requirements from a threat basis rather than a product catalog: you can say which adversary a control stops and where the next weakest point is - Have owned an engineering domain where you set the approach, chose what applied to each site, worked directly with vendors, and answered for the result Preferred qualifications - Experience carrying a physical security design from construction documents through construction to acceptance testing - Experience engineering the security scope of colocation or partner-delivered facilities - Working knowledge of published standards for standoff, hostile vehicle mitigation, and intrusion detection zoning - Photometric and video quality measurement experience - Control room, AV, or network design experience: console layouts, video wall systems, resilient communications - Experience using AI-assisted tooling for drafting and review as a core part of your workflow 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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Owns Mistral’s strategic relationship with EY across APAC. Manages the EY relationship and joint go-to-market end to end, delivering revenue and industry impact. Orchestrates multi-country pursuits spanning ASEAN (Malaysia, Thailand, Vietnam, Indonesia and the Philippines), Australia, India, Japan and Korea, owning the seating model, deal economics and partner governance through MD sign-off. Owns partner-leadership access at the change-maker level: AI practice leads, industry MDs and CTOs at regional and global level, including EY Consulting leadership. Architects and operationalises the APAC GSI Partner Playbook: the frameworks, co-sell motions, solution accelerators and delivery-readiness programmes needed to scale frontier AI regionally, including the sovereign AI narrative that differentiates Mistral in regulated markets. Location: Based in Singapore, with travel to ASEAN and APAC countries. What success looks like First 12 months - Executive relationships built across EY Consulting at AI practice lead, industry MD and CTO level, including EY’s Singapore hub and its practices across ASEAN and APAC countries. - A joint EY–Mistral GTM plan live: shared ICPs, vertical use cases, field plays and demand generation, with named account coverage across ASEAN and APAC countries. - One to two named, in-flight APAC deals of flagship scope and complexity, converted from or created through global agreements. - Partner-led and partner-attached pipeline delivered against the team target across sovereign AI, AI Studio and enterprise deployments. - Two to three multi-year GTM agreements or MOUs signed, covering revenue targets, co-sell motions, enablement and commercial frameworks. Key outcomes - Partner-influenced revenue from EY contributes a fifth or more of APAC annual bookings. - Mistral embedded in partner platforms, marketplaces, sovereign-cloud offerings and regional AI Lab programmes. - Certified EY delivery pods operational, with a stable base of partners delivering repeatable demand. Key responsibilities - Own the EY relationship and joint GTM across APAC: executive sponsorship, joint account planning, pursuit support and governance. - Own APAC GSI partner strategy, with EY as the anchor integrator. - Drive EY engagement across ASEAN and APAC countries from Singapore. - Convert or create global agreements and MPAs into named APAC deals; orchestrate multi-country pursuits across ASEAN and APAC countries. - Architect joint GTM: messaging, ICP alignment, vertical use-case strategy, field plays and demand generation. - Guide EY in building profitable Mistral service lines and certified delivery pods. - Lead deal orchestration: partner qualification, commercial alignment, seating model, deal economics and delivery planning. - Own partner scorecards, QBRs, pipeline reviews and performance analytics; ensure MPA, reseller/OEM and AI Lab frameworks are fit for multi-country use. Must have - 8–12+ years driving partner-led revenue with GSIs, hyperscalers, telcos or OEMs across APAC. - Has worked at EY, or has directly managed the EY relationship (alliance, partnership or account leadership), with first-hand knowledge of how EY Consulting operates, including its service lines, practice and industry structure, alliance model, decision-making, and how deals are sold, staffed and governed. - Demonstrated ability to manage a strategic GSI relationship and its joint GTM, operating at AI practice lead, industry MD and CTO level and converting or creating global agreements into named APAC deals. - Track record engaging C-suite and securing multi-year commercial frameworks. - Experience structuring multi-country pursuits, seating models and partner governance requiring MD-level sign-off, including across ASEAN and APAC countries. - Commercial acumen in AI/cloud: able to translate AI Studio, sovereign AI and GPUaaS into clear revenue models. Nice to have - Familiarity with model deployment, GPU infrastructure or AI Lab concepts. - Existing relationships within EY AI/Cloud practices. - Prior use of hyperscaler funding (ECIF, MACC, OCP), MDF or co-sell pipelines. - Exposure to sovereign AI or public-sector transformation in regulated APAC markets, including ASEAN. Ideal backgrounds Current or former EY Consulting leaders (alliance directors, AI/data practice leads, industry or sector leads), and leaders who have directly managed the EY relationship from a vendor, hyperscaler or technology partner side (e.g. senior partner sales managers at AWS, Microsoft or Google Cloud; partner account managers at Nvidia, Dell or HPE); regional or global alliance directors at Deloitte; GTM and strategic partnership leads at fast-growing AI, data or infrastructure vendors. Languages: English required. Mandarin, Japanese or Korean a bonus for multi-country engagement. Bahasa (Indonesia/Malaysia), Thai, Vietnamese or Filipino a plus for ASEAN engagement. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

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 leader for our Treasury, Liquidity & Capital Planning team. In this foundational role, you will own the forward view of the company's cash and balance sheet as Anthropic manages one of the fastest-growing balance sheets in technology alongside some of the largest infrastructure commitments any company is making. You will report to the Head of Investments & Market Risk and work closely with FP&A, Accounts Payable, Collections, Controllership, Legal and Infrastructure Finance. This is a rare opportunity to build a liquidity and capital planning function from the ground up at a high-growth AI company. You bring a strong background across multiple pillars of Treasury and a track record of driving complex, cross-functional initiatives through to completion with limited direction and full accountability. You are proficient in using AI tools to drive automation and process optimization, and you will use Claude to build much of the tooling that makes Treasury faster and more precise. Key responsibilities - Build, own and continuously improve a direct cash flow model and forecast by legal entity and currency, tied to bank data at the front end and to FP&A's operating plan, so the company sees liquidity needs well before decisions have to be made - Establish a disciplined forecasting cadence across monthly, quarterly and annual cycles, with forecast-to-actual variance analysis built on bank transaction data - Partner with FP&A and Strategic Finance to support capital allocation decisions with scenario and sensitivity analysis and clear liquidity trade-offs - Monitor and manage working capital drivers, including receivables, payables and DSO/DPO, to anticipate cash flow impacts and improve liquidity - Prepare cash flow analyses and executive-level materials for the Treasurer, CFO and senior leadership, highlighting key drivers, risks and opportunities - Partner with FP&A, Accounting, Tax and business teams to understand forecast movements, challenge assumptions and improve accuracy, while strengthening processes, reporting and controls so the framework scales - Serve as back-up for the investments desk (in-house portfolio, money market funds, deposits and separately managed account instructions) and for the FX, commodities, rates and credit desk Minimum qualifications - Have built and owned a direct cash flow model and forecast across multiple legal entities and currencies - Can project a balance sheet, leverage and covenant metrics as comfortably as cash, and explain the trade-offs clearly to a CFO and other non-Treasury stakeholders - Understand how a forecast turns into an investment ladder, a hedge program and a compliance test, not just a report - Have stood up models, reporting and controls where none existed, and are comfortable being the whole team - Work directly with data, including bank feeds, ERP cash flows and portfolio reports - Understand money market funds, deposits, short-duration securities and basic hedging mechanics well enough to cover a trading desk - Exercise strong judgment in ambiguous situations and build effective relationships across Finance, Legal and the business Preferred qualifications - 10+ years of relevant experience in treasury or corporate finance - Have led a cash flow forecasting or liquidity planning function inside a large corporate Treasury - Have supported a revolving credit facility, debt issuance or rating agency process with forecasts and covenant models - Have worked in Treasury through hypergrowth, large financings or an IPO - Have used Claude or similar AI tools to automate Treasury workflows and reporting - Are familiar with a treasury management system, Clearwater, planning tools or a data warehouse such as BigQuery - Have executed trades under a Treasury policy, including direct securities, money market funds, deposits, and FX spot and forwards - Hold a CFA, CTP or CPA - Are excited by Anthropic's mission to build safe, transformative AI systems, and by Treasury work that directly supports it 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: $230,000 - $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.

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 Executive Briefing program brings senior leaders from our most strategic customers together with our spokespeople, product leaders, and researchers. As a Program Manager, Executive Briefings, you will run the program at one of our briefing centers and help build the global operating model that ensures an exceptional and consistent experience across the globe. You will be the main program lead for your location and own briefings end to end: qualification and intake, agenda design, speaker selection, and day-of execution. You will set the objectives and design for each agenda and develop it jointly with Sales. You will also be the local account teams' go-to partner on how to use a briefing to move their most important opportunities forward. You will manage the global workstream and set the standard every center follows, so customers get the same quality of briefing wherever they meet us. This is a highly cross-functional role. You will work with regional GTM leadership and the Office of the CCO on account selection and program strategy, with Product Marketing on content, with Solutions on technical deep-dives and demos, with Anthropic's executive bench on sponsorship and participation, and with Workplace, Security, and Revenue Operations on the experience and systems behind every briefing. You will be comfortable running every part of a briefing yourself and maintaining tight alignment with internal stakeholders. Key responsibilities - Own the Executive Briefing program at your location: the local calendar, capacity planning, the request and intake process from Sales, and operating SLAs, applied against global criteria and regional allocation - Work with regional GTM leadership to decide which strategic accounts receive a briefing each quarter, hold the qualification bar, and proactively surface accounts that should be engaged - Lead discovery with account teams before each briefing to understand the customer's objectives, business context, and stage of evaluation, and turn that into a tailored agenda - Own agenda design and co-own agenda development with Sales for every briefing, including the narrative arc, discussion topics, speakers, and demos - Build and manage the speaker bench for your location: identify, source, and match speakers to briefings, run prep, and manage capacity so no one is over-asked - Own day-of orchestration and the customer experience standard at your center, in partnership with Workplace on logistics - Contribute to the playbooks, tooling, and best practices that let the program scale consistently across centers while allowing for regional nuance - Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA - Maintain one source of truth for criteria, lead times, and process so account teams get one answer - Own measurement and reporting for your center and contribute to global reporting on briefing volume, capacity and allocation, strategic-account coverage, and program-influenced pipeline and expansion - Onboard and coach briefing team members and contractors across locations Minimum qualifications - Experience running executive briefings, customer events, or a comparable program for senior external audiences - Program management skills, including intake and prioritization, capacity planning, and managing multiple concurrent programs against SLAs - Experience designing agendas and facilitating discussions with C-level or other senior customer audiences - Experience building processes, playbooks, or tooling that help a program operate consistently - Ability to track, report on, and communicate program metrics such as volume, coverage, and pipeline influence - Strong written and verbal communication skills, with the ability to partner credibly with field leadership, executives, and internal subject matter experts - Work on site at your briefing center when briefings take place Preferred qualifications - 6+ years of experience building or scaling an executive briefing program, or a similar customer-facing program, at an enterprise technology company - Experience in a high-volume briefing environment - Experience with CRM and reporting tools such as Salesforce, and with connecting program activity to pipeline and expansion outcomes - Experience identifying and surfacing speakers for the speaker bench and managing speaker capacity across product, research, and executive teams - Experience working across time zones or across multiple sites to set one global standard - Experience onboarding or coaching new team members or contractors - Familiarity with AI products and how enterprises evaluate and adopt them - Interest in Anthropic's mission to build AI that is safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $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.

About the Team OpenAI is on a bold mission to build the world’s most advanced AI infrastructure. We are seeking a Data Center Network and Structured Cabling Engineer with 10+ years of experience in designing and implementing optimized network and structured cabling solutions at large data centers buildings and data center campuses. The Data Center Engineering team is central to this mission defining infrastructure strategy, driving technical innovation, working with research to set performance benchmarks, and developing reference designs that enable rapid, scalable global deployment. As part of this team, you will help design and deliver next-generation data center infrastructure optimized for AI workloads. You’ll collaborate across research, site selection, design, construction, commissioning, hardware engineering, deployment, operations, and global partners to bring OpenAI’s infrastructure vision to life. Role Summary As a Physical Network & Structured Cabling Engineer, you will own the design, implementation, and quality assurance of structured cabling and physical network infrastructure across OpenAI’s global data center footprint. This role bridges design, construction, and operations, ensuring that every layer of our physical networking from fiber trunks to copper patching meets the highest standards of performance, reliability, and scalability. Key Responsibilities - Design and specify physical network infrastructure across data center buildings and campuses, including fiber and copper cabling, network rooms, rack layouts, cable trays, and duct bank pathways. Coordinate with other engineering disciplines to ensure network infrastructure space, power, cooling, and operational requirements are incorporated into the overall design - Develop standards, reference designs, and installation guidelines for structured cabling and physical network deployments. - Translate logical network architectures and hardware connectivity requirements into scalable physical designs, including fiber topology, port connectivity, patching, redundancy, and capacity planning, in partnership with network engineering and operations teams. - Provide technical direction to design consultants, cabling vendors, and installation contractors, resolving scope gaps and ensuring designs are constructible and meet network requirements. - Define installation quality and acceptance criteria, and oversee inspection, testing, commissioning, and turnover of structured cabling systems. - Lead physical network design reviews, coordinate clash detection and resolution with other disciplines, and conduct site inspections to verify installation quality and conformance with design and operational requirements. - Troubleshoot and resolve issues during build, commissioning, and handover phases to ensure network readiness. - Develop and maintain physical network documentation, including design requirements, drawings, port maps, cable schedules, bills of materials, labeling standards, and as-built records. - Provide feedback to design and operations teams to drive continuous improvement of physical network standards. Qualifications - Bachelor’s degree in Engineering, Telecommunications, or related field, or equivalent experience. - 10+ years of experience designing and delivering physical network infrastructure and structured cabling systems for large-scale data centers, including responsibility for design decisions, construction coordination, and operational readiness. - Strong understanding of data center network topologies and high-speed optical connectivity, including transceivers, fiber types, breakout configurations, connector and polarity schemes, and optical loss budgets. - Expertise in industry standards such as ANSI/TIA, BICSI and other relevant structured cabling guidelines. - Proven ability to coordinate with cross-functional teams and external vendors on large-scale projects. - Strong skills in reviewing and interpreting technical drawings, cable schedules, and documentation management. - Excellent written and verbal communication skills, with the ability to engage both technical and non-technical stakeholders. - Willingness to travel frequently to global data center sites. Preferred Skills - Master’s degree in Engineering, or relevant certifications such as BICSI, RCDD, or equivalent. - Experience with hyperscale cloud, AI, or high-performance computing environments. - Proficiency in 2D and 3D engineering tools (e.g., CAD, Revit) for infrastructure design and clash detection analysis. - Experience with structured connectivity data and automation for generating and validating port maps, cable schedules, bills of materials, and labels. - Strong analytical and troubleshooting skills for physical layer systems and issues. 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.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Role We are looking for a highly motivated and detail-oriented Financial Compute Analyst to join our Accounting team. This role will help build and run the accounting, allocation, and reporting for compute cost of revenue as the company continues to scale. Compute is by far our largest expense category and the single biggest driver of gross margin. Cloud spend runs across a growing set of CSP and neocloud vendors under a mix of on-demand, reserved, prepaid, and committed-capacity structures — each with its own invoicing cadence, true-up mechanics, and credit terms. The ideal candidate is comfortable turning GPU utilization data into defensible accounting conclusions and enjoys building the schedules, reconciliations, and controls that make cost of revenue accurate, explainable, and auditable. This is a hands-on role that will partner closely with Infrastructure, Capital Efficiency, FP&A, Procurement, Partnerships, and Data teams to ensure compute costs are captured in the right period, classified to the right cost center, and reported in a way the business can actually use. Responsibilities - Support the monthly close for compute cost of revenue, including preparing cloud cost journal entries, accruals for unbilled usage, prepaid amortization, true-ups to actual usage, and supporting schedules. - Perform reconciliations of GPU utilization data to CSP invoices, contracted capacity, and the general ledger; research utilization-to-billed variances, idle capacity, and billing discrepancies, and escalate complex items with a proposed resolution. - Prepare and maintain prepaid cloud balance schedules, including short-term/long-term classification, amortization tied to committed capacity, and rollforwards that tie to contract terms, for senior review. - Support the accounting for complex vendor and partnership arrangements, including committed spend, prepayment and reimbursement structures, revenue share, SLA and downtime credits, and capacity arranged through third parties. - Help evaluate the accounting treatment of new vendor agreements and capacity commitments, including COGS vs. operating expense classification, gross vs. net presentation, embedded leases under ASC 842, and liability vs. expense characterization. - Work with Data and Analytics teams to build and validate the cost and utilization data pipelines that feed allocations and reporting, and improve data quality at the source. - Contribute to technical accounting memos supporting significant cost of revenue and capitalization conclusions, including capitalized software and its amortization into COGS. - Support external audits by preparing cost schedules, vendor contract samples, allocation support, and responses to auditor inquiries. - Identify opportunities to automate and scale cost accounting processes, reconciliations, and reporting as compute spend grows. Qualifications - Bachelor's degree in Accounting, Finance, or a related field. - CPA or CPA candidate a plus. - 3–6 years of relevant accounting or finance experience, including meaningful experience in cost accounting or cost of revenue. - Familiarity with cost allocation concepts, including direct cost attribution and overhead allocation across cost centers or product lines. - Experience in cloud computing, AI infrastructure, SaaS, or other usage/consumption-based business models is preferred but not required. - Experience evaluating vendor contracts and committed purchase arrangements, and translating commercial terms into accounting treatment, is a plus. - Comfort working with large datasets and reconciling information across multiple systems. - Experience with NetSuite or another major ERP system, including allocation schedules and amortization functionality, preferred. - Advanced Excel/Google Sheets skills; SQL or experience working directly with data warehouses is a plus. - Strong analytical and problem-solving skills with exceptional attention to detail. - Builder mindset — comfortable creating and improving processes in a fast-paced environment where products, vendors, and systems continue to evolve. - Strong communication skills and ability to translate cost accounting requirements into practical guidance for non-accounting stakeholders. What Success Looks Like You will help build a cost accounting function that is accurate, scalable, auditable, and closely connected to how the business actually operates. You will be able to trace compute spend from vendor contracts and GPU utilization through allocation to the general ledger and ultimately to gross margin, so the company can understand the true economics of each product and make infrastructure investment decisions with confidence. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What's Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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 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, motivated Enterprise Account Executive to drive ElevenLabs’ growth across Healthcare: the health systems, hospitals, clinics, health plans, and life sciences companies people trust with their health and their families’ care. These organizations win or lose on trust and access at massive scale, under some of the most demanding regulatory standards anywhere. Our ideal candidate learns fast, closes well from a warm introduction, and is passionate about AI voice technology. You’ll act as a strategic partner to organizations reimagining how they serve patients, members, and clinicians, safely and at scale. In this role you will: - Focus on prospecting and landing net-new customers to expand the market footprint that ElevenLabs has in the Healthcare industry - Balance a diverse pipeline of large health systems that require a white-glove experience with community hospitals, clinics, and regional providers that require speed to close - Identify where conversational AI can drive growth, automation, or cost efficiency in patient-facing and internal workflows, such as scheduling and reminders, after-hours coverage, benefits and claims status, patient intake and outreach, and HCP support - Stay current on the conversational AI landscape, including competitive solutions, build-vs-buy dynamics, and emerging trends in healthcare AI governance - Develop and execute account strategies across the whole buying group (Patient Access and Contact Center Operations, Digital and Product, IT and Clinical Informatics, and Compliance, Privacy, Legal, and InfoSec), landing with one high-impact use case and expanding across facilities and service lines - Partner closely with Forward Deployed Engineers to solution high-impact use cases, manage a successful Proof of Value, scope integrations with the EHR, claims, and telephony systems customers already run, and set them up to scale in production - Partner closely with Legal teams to drive strategic, fast-moving negotiations, including BAAs - Serve as a trusted advisor on generative AI and voice, and share what you learn in the field to sharpen our Healthcare positioning, messaging, and references Requirements - 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms - Healthcare experience (health systems, hospitals, payers, life sciences, health tech) is preferred but not required. We weigh demonstrated adaptability and fast ramp in a new industry heavily - Proven success closing six-and-seven figure deals and managing complex, multi-stakeholder sales cycles - Proven ability to take a warm introduction through discovery, Proof of Value, and procurement to close - Experience selling to both technical buyers (IT, product, and engineering) and business buyers (patient access, operations, digital), and to privacy and compliance gatekeepers, translating complex technology into business value - Adept at deeply understanding a customer’s business and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, including HIPAA, BAAs, and PHI data protection reviews, and able to work autonomously as a cross-functional partner - Strong executive presence, the ability to build relationships with senior executives, and willingness to travel frequently for onsite client visits and conferences - High EQ, self-aware, and curious. Low ego and hands-on, comfortable running your own prospecting and deals - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and conversational AI and how it can unlock transformative value for customers Location This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. 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.

About the role As a Commercial Sales Manager at Perplexity, you'll lead a team of Commercial Account Executives selling Perplexity Enterprise and Computer to small and mid-sized organizations. You'll be responsible for hiring and ramping the team, coaching sellers through efficient, high-velocity sales cycles, and owning team revenue targets. Responsibilities - Lead, coach, and develop a team of Commercial Account Executives, providing regular feedback to drive individual and team performance - Own team revenue, logo, and activity targets, with accountability for pipeline creation, deal velocity, and forecast accuracy - Hire, onboard, and ramp new Account Executives in partnership with Recruiting and Enablement - Coach the team on outbound prospecting, account prioritization, and converting existing self-serve customers into Enterprise relationships - Help AEs qualify with discipline and run efficient sales cycles from discovery through close, partnering with Enterprise AEs when an account warrants a larger motion - Run a regular cadence of 1:1s, pipeline reviews, and deal reviews, maintaining accurate Salesforce data and forecasts - Partner with Enablement, Product, Marketing, Customer Success, and RevOps to translate field feedback into action You may be a good fit if - 5+ years of SaaS sales experience selling to small and mid-sized organizations, with 2+ years directly managing quota-carrying Account Executives - A track record of meeting or exceeding team revenue targets in a high-growth environment - Experience hiring, ramping, and developing sellers - Experience coaching teams to generate their own pipeline through outbound and product-led signals in a high-velocity sales motion - Strong command of Salesforce, pipeline management, and forecasting - Background selling technical products, ideally AI, data, or infrastructure - Comfort operating without an established playbook

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're seeking a business development lead to own Anthropic's BD partnership footprint with a small number of the world's largest and most consequential technology companies. These are not single-threaded accounts. Each relationship spans many businesses at once — consumer products, devices and operating systems, productivity and collaboration software, cloud and developer platforms, commerce, and enterprise distribution. Your job is to see the whole board, decide where Anthropic should lean in and where it shouldn't, and turn that judgment into signed deals. The center of gravity for this role is product and distribution partnerships: co-developing opportunities with partners, and structuring the commercial, technical, and go-to-market terms that make those partnerships durable. You'll typically be running several deal streams inside the same partner in parallel — at different stages, with different counterparts, and with terms that interact with one another — and you'll be the person responsible for keeping them coherent. This is an individual contributor role for a seasoned dealmaker who is comfortable as the primary counterpart to senior executives at very large companies, who brings strong judgment to ambiguous, high-stakes situations, and who can carry a complex, multi-party negotiation from first conversation through signature and into execution. Key responsibilities - Manage a small number of large, multi-faceted partner relationships end to end: set the strategy for each relationship, decide which opportunities to pursue and in what order, and stay accountable for the overall health and commercial output of the partnership across every surface it touches - Lead product partnerships: identify and structure opportunities to embed Claude in partners' consumer and enterprise products, co-develop new products and features, and define the product, technical, data, and brand terms that come with them, working closely with Anthropic's product and engineering leaders - Run multiple deal streams in parallel: manage several concurrent negotiations within the same partner — product integrations, distribution and go-to-market, commercial and consumption agreements, and infrastructure — and sequence and connect them so terms in one stream reinforce rather than undercut the others - Negotiate complex, first-of-kind agreements: lead end-to-end negotiations involving novel commercial structures, revenue and economics sharing, product and roadmap commitments, exclusivity and competitive provisions, data terms, and multi-year, multi-component value exchanges - Act as an executive counterpart: build and manage relationships with senior executives and their teams on the partner side, serve as Anthropic's primary voice into the partnership, and prepare and steer Anthropic's own executives through partner-level engagements - Exercise judgment on behalf of Anthropic: weigh commercial upside against strategic, competitive, product, and mission considerations; know when to say no; and make clear, well-reasoned recommendations to Anthropic leadership on trade-offs that don't have a playbook - Drive cross-functional execution: coordinate Product, Engineering, Sales, Marketing, Finance, Legal, and Policy across the life of a partnership, from initial structuring through negotiation, launch, and ongoing governance, ensuring what we sign is something Anthropic can deliver Minimum qualifications - Direct experience owning a large, multi-business partner relationship, where you were responsible for the whole relationship rather than a single deal or product line - Track record of structuring and closing product partnerships — embedding technology into partner products, co-developed products, distribution through partner surfaces, or similar — in addition to conventional commercial agreements - Experience personally leading complex, multi-stakeholder negotiations with senior executives, including deals with interlocking terms, competitive sensitivities, and multi-year commitments - Demonstrated ability to manage several significant negotiations at the same time without losing the thread on any of them - Experience coordinating cross-functional execution (e.g., Product, Engineering, Legal, Finance) to bring a complex agreement from structuring through signature and delivery Preferred qualifications - 10+ years in strategic business development, strategic partnerships, or corporate development at technology companies, with meaningful time spent managing relationships with very large technology partners - Experience on either side of a partnership between a foundation model or AI platform provider and a large technology company - Experience working inside one of the very large technology companies, with a practical understanding of how decisions get made, who holds budget and roadmap authority, and how to navigate them - Experience with partnerships that span both consumer and enterprise businesses, or that combine product, distribution, and infrastructure components in a single relationship - Understanding of foundation model capabilities and how they translate into partner products, with enough technical fluency to work credibly with product and engineering leaders on both sides - Background in corporate development, strategy, or a legal or finance discipline involving structuring and papering unusually complex agreements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About the team The Adoption, Innovation, and Transformation (AIT) team within OpenAI for Government helps government organizations turn OpenAI products into durable capabilities and measurable mission impact. We work alongside government leaders and public servants to move from exploration to confident, responsible, organization-wide use of AI, including our Cyber and Daybreak capabilities. Our work combines strategic communications, hands-on enablement, adoption strategy, deployment support, and community building, tailored to government missions and operating environments. About the role We are seeking a Cyber Enablement Lead to help government cyber professionals turn Daybreak’s capabilities into stronger defenses and measurable mission outcomes. This role combines technical credibility, hands-on teaching, strategic communication, and cross-functional leadership. You will own Daybreak’s government product enablement strategy and personally design and deliver the training that brings it to life. Your work will span audience research, curriculum design, recorded demonstrations and courses, hands-on workshops, executive briefings, and cyber councils. You will work directly with U.S. and international government cyber leaders to translate frontier AI capabilities into practical workflows that address operational challenges. You will also partner with the cyber product team, bringing customer feedback, deployment challenges, and adversarial context into product development. Your work will help shape best practices for adopting and deploying our cyber tools, strengthen government cyber defenses, and inform the direction of these capabilities. You will engage across the government cybersecurity ecosystem, including Authorizing Officials (AOs), CISOs, cyber operators, developers, and senior executives. Practitioners need practical proficiency; executives need a strategic understanding of our cyber products, their value, and their implications for mission and risk. Success means demonstrated capability, sustained adoption, and better cyber outcomes. This role is based in Washington, D.C. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. Travel and regular work from government customer sites are required. In this role, you will - Set the vision and own the execution of Daybreak’s government enablement strategy, from audience research and learning objectives to curriculum, delivery, and measurable mission impact. - Serve as a trusted cyber ambassador for OpenAI, leading substantive conversations about our tools and capabilities with U.S. and international government leaders, customers, and the broader cyber community. - Help government leaders understand and respond to AI’s changing cyber landscape through executive briefings, public speaking, and thought leadership grounded in operational experience. - Personally lead technical training, live demonstrations, hands-on workshops, and executive conversations that help AOs, CISOs, cyber operators, developers, and senior leaders apply Daybreak to their work. - Bring frontline experience into product development. Serve as a key point of contact for Daybreak Blue and Red, translating user feedback, deployment friction, and unmet mission needs into actionable product recommendations. - Create practical learning materials, including scripts, recorded demonstrations, interactive labs, digital courses, videos, facilitator guides, and playbooks. - Convene and lead our cyber councils, bringing leaders and practitioners into candid conversations that surface hard questions, share field lessons, and build a community of practice. - Deliver tailored engagements for specialist teams and repeatable learning programs that equip thousands of practitioners to use Daybreak effectively. - Translate frontier capabilities into practical government workflows across the cybersecurity lifecycle, connecting Daybreak’s applications and deployment requirements to challenges such as critical infrastructure security and defense of critical networks. - Develop practical guidance for human-machine teaming in cyber, including where AI adds value, where human judgment is essential, and how teams validate results and act responsibly. - Coordinate across product, security, deployment, and customer teams to address adoption barriers and keep enablement technically accurate, operationally relevant, and current as capabilities and requirements evolve. - Assess demonstrated proficiency, track sustained adoption, and use evidence of stronger cyber performance and mission outcomes to improve programs. You might thrive in this role if you - Hold an active security clearance, preferably TS/SCI - Bring deep cybersecurity expertise across threat modeling, vulnerability discovery and validation, prioritization, remediation, detection, incident response, and recovery, with the judgment to connect these disciplines to government missions. - Have deep fluency in Daybreak’s capabilities, applications, and deployment requirements, and can translate that knowledge into credible advice and practical government cyber training. - Have personally built and delivered cybersecurity enablement that changed how people work, from focused engagements with specialist teams to programs reaching thousands of practitioners. - Are a compelling speaker, writer, educator, and hands-on creator. You can set the strategy, write the script, record the demonstration, build the lab, and lead the workshop, roundtable, or private executive session. - Can earn trust in executive briefings and technical deep dives, adapting your language, examples, and level of detail while giving audiences a clear reason and a practical way to act. - Know how to read a leader and a room. You combine presence and emotional intelligence with humility, listen carefully, welcome hard questions, and make people comfortable learning something new. - Understand government cyber missions, security requirements, and operational constraints, ideally across DOW, federal civilian agencies, and state and local government, and can build approaches that work within those realities. - Turn ambitious goals into disciplined execution, leading cross-functional work, incorporating feedback, and taking ownership of demonstrated proficiency, sustained product use, and stronger defenses. - Have built and led teams of cyber enablement professionals, setting a high bar for technical credibility, teaching quality, and execution while helping others grow. - Bring a practical understanding of U.S. cybersecurity laws, regulations, and policies, and can explain their implications for government adoption and deployment. - Have served in a government cyber role and bring a deep commitment to the people behind the mission, including public servants, warfighters, and the intelligence community. 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.

About the Team OpenAI Finance helps ensure the organization is set up for success in pursuit of its mission of ensuring that artificial general intelligence benefits all of humanity. Within Finance, the Revenue Accounting, Technical team partners with Product, Strategic Partnerships, Business Development, Growth, Legal, Deal Desk, GTM, Strategic Finance, Revenue Accounting, and Finance Systems to enable scalable, operationally sound monetization. We advise on commercial and contract design, establish clear accounting positions under ASC 606, and translate those conclusions into repeatable processes, systems, controls, and reporting. About the Role We’re looking for a Manager of Revenue Accounting, Technical to drive the end-to-end technical revenue and operational workstream for OpenAI’s strategic commercial deals—from early structuring and deal-desk review through contracting, launch, and ongoing governance. Reporting to the Head of Revenue Accounting, Technical, you will serve as a key revenue advisor for complex and non-standard strategic deals, translating commercial objectives into revenue models that are economically sound, accounting-compliant, and operationally executable. You will partner with senior team members on the most novel or high-risk matters across strategic collaborations, cloud marketplaces, platform and distribution deals, licensing and revenue-share models, joint go-to-market initiatives, research collaborations, and other emerging commercial structures. You will engage from the earliest stages of a deal to shape economics, pricing, commercial terms, contract language, and product design; define the supporting data, billing, settlement, reporting, systems, controls, and revenue-recognition model; and drive cross-functional readiness through launch. After launch, you will help govern amendments, monitor whether the model is operating as intended, resolve execution issues, and evolve the approach as the partnership or business model changes. This role requires strong technical accounting judgment, commercial fluency, clear cross-functional communication, and the ability to independently drive complex workstreams while knowing when to seek input or escalate. 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: - Own the day-to-day technical revenue workstream for a portfolio of strategic commercial deals from initial concept and term-sheet development through contracting, launch readiness, post-launch changes, and ongoing governance. - Build and pressure-test revenue models for strategic collaborations, cloud marketplaces, platform and distribution deals, licensing and revenue-share arrangements, and other emerging commercial models, including pricing, minimum commitments, incentives, credits, variable consideration, usage mechanics, and settlement flows. - Partner through the deal-desk process with Strategic Partnerships, Product, GTM, Strategic Finance, Legal, GTM Deal Desk, Tax, Finance Systems, and Revenue Operations to shape deal economics, pricing, contract terms, product configuration, and operational design from initial proposal through approval and launch. - Assist senior team members in evaluating complex transactions under ASC 606, including principal-versus-agent considerations, gross-versus-net presentation, performance obligations, variable consideration, contract combinations, commitments, credits, incentives, and related-party considerations, escalating precedent-setting judgments for senior review. - Translate technical conclusions into required commercial and contract terms, practical deal-desk guidance, approval guardrails, and clear intake, escalation, and decision-making processes for material deals, amendments, and renewals. - Design revenue models end to end by defining the contracting, product, data, order-to-cash, usage, billing, invoicing, settlement, reconciliation, reporting, systems, and control requirements needed to operate them; partner with operational teams to build, test, document, and scale the resulting processes. - Lead cross-functional launch readiness for strategic deals, validate that systems, data, billing, reporting, and controls reflect the approved structure, and help resolve post-launch issues, amendments, or changes in actual deal economics. - Develop clear internal decision materials and operating requirements, coordinate concurrent deal workstreams, and improve the playbooks, templates, and guidance that make strategic-deal execution more consistent and scalable. You might thrive in this role if you have: - 5+ years of technical revenue accounting or related advisory experience, with strong ASC 606 expertise and experience independently owning complex analyses and workstreams. - Experience working in or closely with a deal-desk function to support strategic commercial deals end to end, including complex collaborations, cloud marketplaces, platform distribution, licensing, revenue-share models, or other multi-party transactions. - Demonstrated ability to craft and pressure-test revenue models, influence commercial strategy, pricing, product design, and contract terms, and translate the agreed structure into executable operational flows. - Experience navigating emerging monetization models such as advertising revenue, marketplaces/commerce platforms, or other multi-sided ecosystems is a strong plus. - Strong working knowledge of principal-versus-agent analysis, gross-versus-net presentation, variable consideration, consideration payable to a customer, contract combinations, and complex performance-obligation assessments. - Experience driving cross-functional launch readiness, validating systems and operational processes, and resolving post-launch issues for complex or unfamiliar revenue models. - Experience translating evolving commercial structures into operational revenue models spanning contracting, product setup, usage data, billing, settlement, accounting, reconciliation, reporting, systems, and controls. - Sound commercial judgment and strong communication skills, with the ability to explain complex accounting issues and practical trade-offs to accounting and non-accounting stakeholders. - Demonstrated success managing multiple strategic deals from intake through launch and ongoing governance, improving repeatable processes, and operating effectively in ambiguous, rapidly changing environments; experience mentoring others is valued. - CPA preferred; a mix of Big 4 (or accounting advisory), commercial deal support, and technology industry experience in high-growth environments is highly valued. 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.

About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a member of our Product Counsel team, you will advise on a broad range of issues arising from hardware products and technologies, with a focus on software that power them. You’ll work closely with software engineering, product, design, and business teams from development through launch and ongoing support. This is a unique opportunity to engage directly with the forefront of AI legal issues. This role reports to our DGC of Hardware. 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: - Work closely with product and engineering teams, participate in architecture and product reviews, and advise throughout development, launch, and ongoing support. - Support software and firmware licensing, open-source, compatibility and ongoing device support. - Provide broad product counseling on consumer experiences, user terms, disclosures, marketing claims, consumer protection and regulatory requirements. - Advise and coordinate on product, commercial, IP, privacy, security, competition, and regulatory legal issues so product decisions and external commitments are consistent. - Build practical guidance and review processes, adapt support to changing priorities, and take ownership of emerging issues across teams. You might thrive in this role if you: - Have 8+ years of relevant legal experience, including substantial product counseling for consumer devices, software embedded in hardware, gained in-house, at a technology-focused law firm, or both. - Can work with engineers on embedded software and firmware, hardware dependencies, and translate that understanding into practical advice. - Have experience with software licensing and the legal issues that arise when device software, apps, and connected services work together. - Build trusted cross-functional relationships and explain complex issues clearly, balancing legal risk with product goals and responsible development. - Take ownership and bring an adaptable, collaborative working style: shift priorities, learn unfamiliar issues, and move between strategic advice and hands-on problem solving while knowing when to involve specialists. - Have a JD and license or qualification to practice in CA. 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.

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: Large teams of agents are starting to solve problems no single agent can, from rewriting major codebases to formalizing landmark mathematics. Our team studies how these teams scale: what happens to performance, cost and coordination as the number of agents, the compute budget and the length of the task grow, and what has to change to keep getting returns from that scale. We build the platform and evaluations Anthropic uses to run and measure large agent teams, and other research teams build on them. This role lives at the boundary between research and engineering. It is a generalist role on a small team: you'll design and run large experiments, build the systems they run on, and get to the bottom of surprising results. We often need to go from a vague question to a running experiment quickly. Responsibilities: - Design, run and interpret large-scale experiments on agent teams, reasoning rigorously about what the data does and doesn't show - Investigate how performance and efficiency change as team size, compute and task horizon grow, and find the bottlenecks that limit them - Build and scale the systems that run very large agent teams reliably, and debug the failures that only appear at scale - Design evaluations for long-horizon problems, and keep their results trustworthy - Build the tooling and metrics that let researchers see what a large agent team is doing and why - Partner with research teams across Anthropic so they can run their own experiments on the platform, and communicate findings clearly You may be a good fit if you: - Have significant software engineering, ML or research engineering experience - Have owned something substantial end to end, such as a large system, an evaluation or benchmark, an agent product, or a research project - Genuinely enjoy both research and engineering work - Think quantitatively about complex systems, and think twice before trusting a number - Can work from a vague question rather than a spec - Are results-oriented, with a bias towards flexibility and impact - Have clear written and verbal communication - Care about the societal impacts of your work Strong candidates may also have: - Experience building or operating large-scale distributed systems, such as schedulers, sandboxed code execution, or inference and RL infrastructure - Built evaluations, benchmarks or harnesses for LLMs or agents - Experience building complex agentic systems that use LLMs - Experience with scaling laws or other large-scale empirical research - A background in operations research, statistics, economics, physics, quantitative finance, or another field that models and optimizes complex systems Strong candidates need not have: - Formal certifications or education credentials - Academic research experience or publication history - Prior experience with multi-agent systems or reinforcement learning Representative projects: - Measure how performance scales with the number of agents on a hard problem, and explain where the curve bends and why - Prepare our largest-ever agent run: find what breaks as team size and task length grow together, and fix it before launch - Work out how to allocate a fixed compute budget across a team of agents to solve a problem fastest - Build tooling that turns the activity of a large agent team into something a researcher can read in minutes - Design a novel eval that distinguishes real gains in teamwork from artifacts of the evaluation setup 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: $500,000 - $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.

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 systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Indiana and Kentucky to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Indiana and Kentucky, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities - Build and maintain trusted, sustained relationships with county commissioners and councils, Kentucky fiscal courts and judge-executives, mayors and city councils, plan commissions and zoning boards, state and regional economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the Indiana and Kentucky data center markets you cover - Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations - Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate - Represent Anthropic in public forums, town halls, planning hearings, community events, and local media - Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement - Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced - Work with the Communications team to develop proactive, locally relevant messaging - Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships - Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use, including how large electricity needs are served by local utilities and rural electric cooperatives - Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows Minimum qualifications - Experience in community affairs, public affairs, economic development, government relations, local or state government, or a closely related field - Direct experience working for or engaging with county and municipal governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out - A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations - The ability to represent a company credibly in public settings, including town halls, hearings, and press interviews - Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to - The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them - Based in Indiana or Kentucky or willing to relocate to one of them, and prepared to travel regularly across both states Preferred qualifications - 7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government - Familiarity with land use, zoning, and permitting processes at the county and municipal level in Indiana and/or Kentucky, including local tax abatement and incentive approvals - Experience managing corporate social responsibility programs - Established relationships with economic development, workforce, or civic organizations in the markets this role covers - Experience working with real estate, legal, communications, and policy teams at the same time - A genuine interest in the communities where you work, not just the projects you are managing 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: $265,000 - $295,000 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.

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 a Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists. Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced. This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering. The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality. Key responsibilities - Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems - Design and run detective controls that catch billing errors before they reach the accounting books - Partner with billing engineering teams to turn repeat checks into automated verifiers - Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place - Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it - Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit - Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time - Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need - Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines - Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates Minimum qualifications - Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books - Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause - Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact - Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs - Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition - Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority - Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs - Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications - Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch - Experience running these systems under public company reporting requirements, and scaling them as the company grew - Experience with usage-based or consumption billing - Experience with multi-party billing, such as marketplaces, or app stores - Experience turning manual checks into automated verifiers with engineering teams - Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing - A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review - Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials - Python for data analysis or automation 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: $345,000 - $425,000 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.

Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. What You'll Do - Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. - Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. - Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. - Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. - Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse. - Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled. - Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting. - Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions. - Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems. - Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team. What We're Looking For - 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role. - Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries. - Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve. - Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines. - Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership. - Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access. - AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation. - Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets. - Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight. - Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability. Bonus - Snowflake administration, optimization, cost management, or warehouse performance tuning. - Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews. - Experience with Databricks or other modern data infrastructure. - Experience building semantic layers, metrics layers, metadata systems, or data catalogs. - Python experience for data tooling, automation, orchestration, or quality checks. - Previous experience as an early analytics engineer or data engineer at a high-growth startup. Why This Role - Own the foundation - your work will determine how fast and confidently the company can use data. - Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts. - High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data. - Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ engineers to evolve the payments, billing, and subscription capabilities that support OpenAI’s growing product portfolio. You’ll tackle problems where correctness, reliability, and flexibility are essential: supporting new billing requirements, managing the billing lifecycle, synchronizing state across internal systems and external providers, and enabling new products and commercial models. Your work may span several areas based on your expertise and team priorities: - Billing and monetization capabilities: Extend billing capabilities and improve integrations and state consistency across systems to support new products and business models. - Subscriptions: Orchestrate purchases, renewals, plan changes, cancellations, and recovery, ensuring customers are charged correctly and receive the right benefits. - Payments: Expand payment capabilities through processor integrations, routing, and broader payment-method coverage. - Risk and integrity: Partner with risk and integrity teams to integrate controls into purchasing flows, reducing abuse while protecting legitimate customer experiences. You’ll help set technical direction while remaining hands-on in implementation and delivery. This is an opportunity to solve complex engineering problems at scale, connect architecture decisions to customer and business outcomes, and help other engineers take on broader ownership. This role is based in San Francisco, with three days per week in the office. In this role, you will: - Architect and build shared services and APIs that make billing, subscription, and payment capabilities easier to adopt and extend across products. - Design lifecycle orchestration and state synchronization across internal services, billing vendors, payment processors, and app stores. - Solve correctness and recovery problems involving asynchronous events, partial failures, retries, and reconciliation. - Improve payment success and resilience through processor integrations, routing, and recovery strategies. - Work with risk and integrity teams to incorporate abuse prevention into purchasing flows while maintaining a reliable customer experience. - Build testing, observability, and operational tooling that make failures easier to detect, diagnose, and resolve. - Lead initiatives from problem definition and technical design through implementation, rollout, and ongoing operation. - Partner with Product, Finance, Operations, and engineering teams to balance immediate launch needs with long-term platform investments. - Provide technical leadership through hands-on development, design reviews, and mentorship. You might thrive in this role if you: - Have demonstrated technical ownership at Staff level or beyond, shaping architecture and delivering substantial initiatives across teams. - Have deep experience designing, building, and operating backend or distributed systems in production. - Reason carefully about data modeling, state transitions, idempotency, consistency, concurrency, and failure recovery. - Have built systems where correctness and reliability are critical, including integrations with external providers and complex dependencies. - Combine strong technical judgment with product and business understanding, making pragmatic decisions as requirements evolve. - Bring clarity to ambiguous problems and communicate effectively with technical and non-technical partners. - Enjoy hands-on engineering while helping other engineers develop their judgment and take on broader ownership. Experience in payments, billing, subscriptions, memberships, e-commerce, offers, promotions, or other transactional platforms is particularly valuable. We also welcome engineers with exceptional distributed systems experience who are motivated to develop expertise in these domains. 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.

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 You will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in New York City. 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 the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria. - Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management. - Partner with Product and Research so platform components and research work streams land in time to support deployment goals. - Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models. - Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors. You’ll thrive in this role if you: - Bring 7+ years of customer‑facing technical delivery leadership - Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI. - Excel in high ambiguity environments. Know how to simplify complex and dynamic work. - Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems. - Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions. - Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs. - Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls. - You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution. - Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher). 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.

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. What you will do As an AI Deployment Strategist, AI4Eng for Physics and Engineering in APAC, you are Mistral's forward-deployed operator on strategic enterprise accounts across automotive, aerospace, semiconductors, industrial equipment, and energy. You own the delivery of AI solutions for physics and engineering challenges end-to-end. Discovery, Scoping & Solution Design: - Run technical discovery sessions to understand business and engineering requirements. - Identify, qualify, and prioritize use cases aligned with the customer's strategic R&D and product-development challenges. - Translate business goals into a concrete AI roadmap and high-level solution architecture, validating feasibility with Product and Applied AI teams. - Build ROI models and business value propositions, and own scoping documents and SOW inputs. Delivery & Program Management - Own end-to-end delivery: discovery → design → build → deploy → adoption. - Set up the account operating model: governance, decision forums, and cadence. - Drive day-to-day execution: priorities, milestones, unblockers, and risk management. - Drive scope control and change management, ensuring the right artifacts are produced (design doc, runbook, eval plan, rollout plan, handover). - Bring knowledge of processes and regulations from the industries we serve (aerospace, semiconductor, automotive, industrial equipment, energy). Adoption, Value Realization & Expansion - Lead user testing, training, change management, and developer enablement. - Track value realization against agreed KPIs and report to executive sponsors. - Capture field learnings and feed product gaps and platform needs back to Product, Science, and Engineering. About you - Advanced university degree in physics or engineering, or IT. - 5+ years of experience as a (technical) project manager in a relevant industry, e.g., automotive, semiconductors, or aerospace. - Experience in software development, machine learning, and ideally in numerical simulations for physics and engineering (CAE, CFD, FEM, DEM, etc.). - Hands-on coding proficiency (Python at minimum), with the ability to read design docs and hold your own in deep technical conversations with data scientists, ML engineers, and simulation engineers. - Strong grasp of where AI creates value in computational science: surrogate models, PDE solvers, FEM/CFD acceleration, inverse problems, and differentiable simulation. - Familiarity with deployment patterns (SaaS, VPC, on-prem, hybrid), security and compliance basics, and ideally agile project management methodologies. - Strong communication skills with the ability to explain complex technical concepts in simple terms and to manage C-level stakeholders. We are looking for adaptable team players who excel in a fast-paced environment, are ready to own delivery across APAC accounts, and are prepared to support pre-sales motions to contribute to our shared goals and growth. Interview Process - Talent Acquisition screening call (30 min) - 30 min Hiring Manager Interview - 45 min Technical Interview (physics, simulation, and AI deep dive) - 45 min Business Acumen Interview - Panel (Customer Meeting Role-Play & Use Case Scoping Exercise, 1h) - 30 min Value Talk - Reference check What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

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 AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As a Cybersecurity Sales Specialist, you'll own Anthropic's security business across the accounts in one of our business units, such as financial services, healthcare and life sciences, or technology. You'll lead the security strategy with CISOs, partnering with the Account Executives who own the accounts in your industry to drive opportunities and put Claude to work on their hardest security problems. You'll help decide how we sell security, what we learn from customers, and how that shapes our products. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well. Key responsibilities - Build and close security business, from the first conversation with a CISO's team through contract and expansion, working with the Account Executive who owns each relationship - Create security pipeline with the Account Executives in your industry, from their existing accounts and through outbound to security leaders, events and joint work with partners - Lead with the customer's problem: finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely - Partner with your Applied AI engineers on discovery, proofs of concept and architecture, and know when to bring them in - Guide customers through security reviews, verification for security use cases, and procurement - Teach the Account Executives in your business unit to spot and qualify security opportunities - Bring what you hear from security teams back to our product, safeguards and marketing teams Minimum qualifications - Experience selling or supporting the sale of cybersecurity products or services to enterprise customers - Deep experience in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security - Ability to hold credible conversations with a CISO, an application security lead and a security engineer about how their work gets done - A consultative approach to selling: you understand the problem before you propose anything, and you're honest about what a product can't do - A commitment to making AI systems safe and beneficial Preferred qualifications - 5 or more years in sales or other customer-facing roles, including 3 or more years selling or supporting cybersecurity products or services for enterprise customers - Experience closing complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver - Experience as a specialist alongside account teams while carrying your own number, and the ability to say exactly what you did to win the deal - Experience building pipeline where there's no playbook yet, through outbound and partners rather than inherited accounts - A record of leading through influence, not authority: Account Executives bring you into their accounts because you help them win - Experience selling security in one of the industries we cover, and an understanding of how security is bought and regulated there - Experience selling AI, developer or data platform products to technical buyers - Hands-on experience as a security practitioner or sales engineer before moving into sales 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: $380,000 - $450,000 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.

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 LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. About The Role (Onsite in Boston) We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging. What You Will Do - Develop new user-facing features using React & Typescript - Build reusable components and front-end libraries for future use - Translate designs and wireframes into high-quality code - Optimize components for maximum performance across a vast array of web-capable devices and browsers - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability What You Will Bring - Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn - Familiarity with REST APIs and experience working closely with fullstack and backend engineers - Knowledge of modern authorization mechanisms, such as JWTs - A passion for user experience, design and building clean, engaging, and intuitive interfaces - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company - An ownership mind-set. You are self-driven and look for opportunities to make an impact. - Strong computer science fundamentals, ideally with a degree in computer science or related field Annual salary range: $170,000-$235,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.

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 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 As a Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most Strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate. You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them. No two days are the same, but you should expect to: - Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points. - Build and lead a team of forward deployed engineers within the region. - Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions. - Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations. - Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models. - Build and deliver compelling demos of our voice and audio AI technology to new and existing customers. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions. - Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies. Requirements - Executive Stakeholder Engagement: Proven experience engaging and influencing C-suite and VP-level stakeholders, both internally and at customer or partner organizations. - People Leadership: Demonstrated ability to hire, develop, and manage high-performing technical teams while fostering a collaborative and results-driven culture. - Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building. - Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions. - Technical aptitude to quickly understand our voice and audio AI models and their applications. - Strategic and Commercial Awareness: Ability to align technical strategy with business objectives, with an understanding of deal structures, go-to-market motions, and revenue impact. - Nice to have: Partner Ecosystem Development - Experience identifying, building, and nurturing relationships with system integrators, resellers, and technology partners to drive market growth. 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.

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 Partner Marketing Manager for Global and Regional System Integrators at Anthropic, you'll own marketing for our highest-performing services partners. That includes Global Premier GSIs and the regional systems integrators (RSIs) closing the most partner-attached Claude deals. You'll report to the lead for Services Partner Marketing and work alongside each partner's Partner Account Manager. You'll build a joint marketing plan with each partner and run executive programs and joint announcements. You'll also turn partner deliveries into the customer proof our field needs. Partners are now attached to a large and fast-growing share of Anthropic's biggest enterprise deals. Your job is to make those partnerships deliver more every quarter. This role is hands-on. You'll think strategically about each partner relationship while running the campaigns, events and enablement yourself. Our scaled programs team supports the rest of the partner network. You'll focus on the partners where hands-on marketing moves the most business, and use those scaled programs where they fit. Key responsibilities Partner Marketing Strategy & Execution - Own joint marketing plans for an assigned group of high-performing GSI and RSI partners, including quarterly planning, campaign calendars, and success metrics tied to target accounts and pipeline goals - Develop joint campaigns and executive programs (CXO dinners, executive briefings, tentpole event activations) aimed at C-suite and senior decision-makers at enterprise customers - Work with Partner Account Managers and the Alliances team to identify priority accounts and build account-based plays that leverage partner relationships - Lead joint announcements from first draft through approvals, holding partner copy to Anthropic's messaging and brand standards - Spot RSIs gaining traction and help them grow into higher tiers Content, Proof & Enablement - Build joint value propositions, messaging, and enablement materials (pitch decks, solution briefs, case studies) that help partners position Claude with their enterprise clients - Turn partner deliveries into proof: capture wins for sellers, and work with Customer Marketing to produce partner-led customer stories that meet each partner's tier requirements - Get your partners carrying Anthropic's priority messages and launches, and build them into Anthropic's own campaigns with the Campaigns team - Put the team's co-marketing guidelines, campaign kits and self-serve assets to work across your partners Program Management & Measurement - Lead end-to-end execution with your partners, coordinating across product marketing, demand generation, field marketing, events and agencies - Manage partner funding (MDF/co-op) for your partners and track ROI on joint investments - Track and report partner-sourced and influenced pipeline, story output, and campaign ROI, with 30/60/90-day pipeline tracking on every activation - Represent Anthropic at partner events, executive briefings, and industry conferences as needed - Feed what works back into playbooks the scaled programs team can run across the wider partner network Minimum qualifications - Have built and run partner marketing programs with Global System Integrators, major consulting firms, or regional systems integrators, and can shift between large firms and smaller, faster-moving ones - Understand enterprise buyer journeys and can create marketing programs that resonate with C-level executives - Are skilled at developing joint value propositions that articulate clear business outcomes for enterprise customers - Build trusted relationships with partner marketing and sales teams, and can move a partner on priorities you don't control - Can own a partner portfolio end to end within a team strategy, and know when to escalate - Are highly organized and detail-oriented, and can run multiple partner plans at once without dropping quality - Write clearly and precisely, with experience creating executive-level content and holding partner copy to a high bar - Are data-driven and comfortable tracking marketing metrics, analyzing performance, and optimizing programs based on results - Thrive in fast-paced, high-growth environments and are comfortable with ambiguity and changing priorities - Have a "get it done" mentality and aren't afraid to jump in wherever needed to ensure program success - Care about the societal impacts of AI and are excited about enabling enterprises to adopt AI responsibly Preferred qualifications - Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments - Experience in the AI/ML industry or working with AI-powered products - Established relationships within the GSI, consulting or regional SI ecosystem - Worked on the partner side, at a GSI or SI, in alliance or technology partner marketing - Experience with tiered partner programs, including benefits and promotion reviews - Experience producing partner-led customer stories with enterprise customers - Understanding of enterprise AI use cases across different industries and functions - Experience with CRM systems (such as Salesforce) and partner relationship management tools - Used Claude or other AI tools to scale their own marketing work Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle, or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. If based in Seattle or New York, this role will require traveling to the San Francisco office once a month. Additionally, this role may require up to 20% of the time for partner meetings and partner events. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $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.

About the Team OpenAI Finance helps ensure the organisation is positioned for long-term success as we pursue our mission. The Strategic Sourcing & Procurement team helps OpenAI scale responsibly and at speed by choosing the right external partners, structuring strong commercial agreements and building resilient supplier relationships. We partner with teams across the company to turn rapidly evolving needs into practical, economically sound solutions. Professional Services provides specialist expertise and capacity across OpenAI, spanning consulting and advisory, finance and accounting, legal, people-related services and managed services. Our sourcing team helps business leaders define the outcomes they need, select capable partners and establish clear commercial and delivery accountability. About the Role We are seeking a Strategic Sourcing Leader to lead and develop the Professional Services sourcing team and set direction across its portfolio. This is a people-management role with accountability for team performance, commercial quality, stakeholder experience and sustained business outcomes. You will translate business priorities into category strategies, achievable delivery plans and clear decision authority, while developing the judgement and independence of experienced sourcing professionals. You will oversee a broad portfolio, from strategic advisory relationships and enterprise programmes to a high volume of statements of work and renewals. You will remain hands-on in selected complex negotiations and critical decisions, while enabling the team to own and deliver its work. Working with senior leaders across Finance, Accounting, Legal, People, Extended Workforce and the business, you will create clarity from incomplete information, resolve competing priorities and adapt the team's approach as OpenAI grows. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead and develop the team: set clear objectives and expectations, delegate with appropriate decision boundaries, provide regular feedback, review performance and address persistent gaps. Build development and coverage plans that strengthen capability and reduce reliance on individual experts. - Set the Professional Services portfolio strategy and roadmap, connecting business objectives, demand, spend, supplier markets and risk. Guide category plans and decisions on where to compete, consolidate, retain specialist partners or change the service delivery model. - Manage the team's pipeline and capacity across strategic negotiations, supplier governance and recurring SOWs. Allocate work by capability, complexity and risk; make resource constraints and dependencies visible; and agree priorities and recovery plans before commitments become unachievable. - Personally lead selected critical negotiations and set standards for commercial quality across the team. Review strategy and assumptions early, using credible alternatives and comparable economics to shape scope, resource mix, pricing, deliverables, acceptance criteria, change controls, audit rights and exit protections. - Build proportionate intake, tiering, preferred-partner models, playbooks and review pathways with Procurement Operations, Contract Management, Enablement and control functions. Agree decision rights and usable handovers so repeatable work moves efficiently and material exceptions receive the right attention. - Strengthen supplier relationships and accountability through segmentation, competition, performance reviews and improvement plans. Agree post-signature owners with the business and use service evidence, concentration risk, renewal exposure and transition options to guide supplier decisions. Assess supplier productivity proposals for their effect on staffing, fees, quality and delivery risk. - Partner with Finance and Accounting on spend visibility, demand scenarios, forecasting, approval discipline and invoice-to-contract alignment. Test fee models, staffing assumptions, change exposure and total economics, with clear baselines for savings, cost avoidance and realized value. - Partner with Legal, People and Extended Workforce to select appropriate service models and distinguish Professional Services from contingent labour or hiring needs. Translate specialist guidance into practical safeguards for service delivery, intellectual property, confidentiality and workforce-related risk. - Establish a concise view of portfolio and team performance covering commercial and service outcomes, pipeline health, cycle time, risk, stakeholder experience and team capability. Use evidence to improve decisions, commitments and delivery; distinguish negotiated benefits from value realized. - Build trusted senior stakeholder relationships and challenge demand, scope or supplier preferences constructively. Resolve difficult trade-offs on value, speed, quality and risk, and escalate decisions beyond your authority with clear options and a recommendation. - Personally use approved AI tools and lead adoption of improved sourcing workflows across the team, including supplier research, proposal analysis, negotiation preparation and reporting. Validate sources and calculations, retain human commercial judgement, and measure adoption and gains in quality, speed or capacity. You might thrive in this role if you: - Have 10+ years of progressive strategic sourcing, procurement or category management experience, with substantial depth across multiple Professional Services categories and ownership from strategy through supplier performance. - Bring 5+ years of people leadership experience, including formal responsibility for objectives, performance, development and delegation. Can demonstrate stronger team capability, independent judgement and sustained delivery through your leadership. - Have personally led complex services negotiations and can explain the alternatives, commercial decisions and measurable outcomes, while showing how you coach others to deliver comparable quality. - Understand consulting, advisory, managed services and project-based commercial models, including experience with large multidisciplinary firms such as the Big Four and specialist providers. Bring breadth across areas such as finance, accounting, legal, healthcare or benefits-related services, alongside sound judgement on workforce boundaries. - Have turned category strategies into practical operating improvements, balancing standardization with flexibility and strategic work with recurring demand. Can show adoption, reliable delivery and stronger stakeholder experience. - Influence senior stakeholders through trust, structured thinking and concise communication. Can work through disagreement, make trade-offs explicit and seek decisions at the right level. - Bring strong financial and analytical judgement, using imperfect spend, supplier and performance data to compare options, test assumptions and verify business value beyond negotiated savings. - Lead effectively through ambiguity, rapid change and limited structure. Can reset priorities, invite challenge and adapt working practices to different company stages, operating models and organisational cultures. - Have practical experience using AI to redesign sourcing work and helping others adopt it, with clear human review, quality checks and evidence of improvement. - Create an inclusive team environment with clear expectations, constructive feedback and room for respectful challenge. Combine accountability with coaching, recognize progress and build resilience through prioritization and dependable support. 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.

About the Team AI will change how the world works. Human connection will shape what it becomes. OpenAI’s Events and Experiences team, part of Business Marketing, carries the critical responsibility of bringing people together around OpenAI’s mission – building artificial general intelligence that benefits all of humanity. We strive to put human benefit in the spotlight and craft experiences that build trust, spark possibility, and make the future feel within reach and exciting. We are not a traditional events team: we move with extreme speed, rigor, and precision. We use AI tools to rethink everything from the first plan to the final guest moment – and we bring grit, joy, humor, and extraordinary creative talent to create what has not existed before. About the Role We’re looking for an Experiential Producer to put OpenAI’s latest technology in people’s hands. You’ll produce experiences where people discover something they didn’t know they could do with our products, whether they’re trying ChatGPT for the first time or building with our newest developer tools. From intimate demos to global launches, cultural programs, large-scale events, booths, and brand installations, you’ll help shape how people experience OpenAI around the world. Working closely with Product, Marketing, and creative partners, you’ll take concepts through design development, fabrication, and on-site delivery. You’ll bring deep experience producing booths and custom builds, managing agencies and vendors, and working directly with fabricators to understand what’s possible within the budget and timeline. This role needs someone who can run several projects at once and stay close to the details. You’re resourceful when plans change, comfortable making decisions on your feet, and clear with the people depending on you. You take pride in producing great work and bring a sense of humor and genuine enthusiasm to the process. In this role, you will: - Produce the experiences that introduce people to OpenAI’s newest products, from global launches and hands-on demos to custom installations around the world. - Work with Product, Marketing, and creative teams on what’s coming next, turning ambitious concepts into production briefs and build plans for different audiences. - Bring together agencies, fabricators, technical specialists, and venues to solve builds that don’t have an off-the-shelf answer, from early prototypes to finished experiences. - Independently run several projects at once. Set milestones and own scopes, bids, negotiations, contracts, procurement, budgets, and forecasts while keeping deadlines, dependencies, and approvals organized. - Lead booth builds, technical production, and live delivery, from product integrations and AV to show calls. Protect quality, accessibility, safety, privacy, and brand standards. - Keep a fast-moving team informed and supported. Celebrate wins, share progress and hurdles without prompting, and take on unfamiliar problems as plans change. - Experiment with OpenAI tools throughout production, from research and planning to vendor briefs, project updates, and post-event analysis. Help the team find better ways to work. - Set success measures and use audience response, product engagement, business results, and partner feedback to improve future experiences, reusable production tools, and vendor standards. You might thrive in this role if you have: - 8+ years producing experiential programs, brand activations, launches, installations, exhibitions, or live events, ideally for technology or complex products. - Deep experience producing booths and custom builds, with a portfolio showing sound design judgment, practical problem-solving, and careful execution. - Experience working with Product, Engineering, or technical teams, and genuine curiosity about how OpenAI’s products work. - The initiative to own projects independently: set milestones, make decisions, and tackle unfamiliar problems without waiting to be asked. - A diverse network of trusted agencies and vendors, strong negotiation skills, and good judgment about when to use a full-service agency or a specialist. - Experience adapting production for different audiences, cultures, event scales, and markets while keeping global standards consistent. - A natural collaborator who enjoys meeting people and hearing new ideas. You listen with empathy and build trust across teams and partners. - Exceptional organization across multiple projects, substantial budgets, and tight deadlines, with the flexibility to reprioritize when plans change. - High standards for quality and a willingness to get hands-on. You bring a sense of humor and don’t take yourself too seriously. Workplace and Location This is a hybrid role based in San Francisco and in office 3x/week. 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.

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 a member to join Financial Reporting team within Accounting. In this role, you will own some of the most important pieces of our external reporting: the consolidated statement of cash flows, subsidiary and other compliance-related reporting, and the peer benchmarking that keeps our disclosures clear and comparable. This is a hands-on individual contributor role for someone who wants to shape how a financial reporting function works, not just run it. Our team builds with Claude every day, and you will help design the workflows and automation that make our reporting faster, more accurate, and more scalable. You will partner closely with Technical Accounting, Controllership, Tax, Legal, FP&A, Corporate Development, and our external auditors. If you enjoy owning complex reporting end to end, have strong judgment on disclosure, and are excited to reinvent how financial reporting gets done with AI, we would love to hear from you. Key responsibilities - Own the consolidated statement of cash flows end to end, including preparation, supporting schedules, classification analysis, non-cash disclosures, and review with our external auditors - Lead subsidiary and other compliance-related reporting, such as entity-level and special-purpose financial statements, lender and covenant reporting, and other regulatory or contractual reporting requirements - Lead the adoption of new accounting standards: impact assessment, data and system changes, disclosure drafting, controls, and review with our external auditors - Lead stock-based compensation reporting, including the expense and award-activity roll-forwards - Contribute to the preparation and review of periodic SEC filings (Forms 10-Q and 10-K) and related disclosures - Contribute to peer disclosure benchmarking, including frequent and proactive review of peer disclosures and assessment of Anthropic's disclosures in comparison to peers - Partner with valuation specialists, Technical Accounting, Tax, and Corporate Development on purchase accounting and post-close reporting for acquired entities - Identify opportunities to leverage Claude and automation tools to improve reporting processes, with a hands-on willingness to test and adopt new technologies as they emerge - Build and maintain Claude-powered reporting workflows (e.g., roll-forwards, tie-outs, disclosure drafting, benchmarking) and document them so the broader team can use and extend them - Design and maintain the process documentation and controls that support your areas, and serve as a primary point of contact for auditors on them Minimum qualifications - Hands-on ownership of a statement of cash flows, including preparation, classification under ASC 230, and support for audit review - Experience with subsidiary, statutory, or other compliance-related reporting (e.g., entity-level financial statements, lender or covenant reporting, regulatory filings) - Experience using Claude or similar AI tools to build new financial reporting workflows or automation - Strong working knowledge of US GAAP and SEC reporting requirements, including Regulation S-X and S-K - Clear, concise written and verbal communication, including the ability to explain complex accounting topics to non-accounting partners - Sound judgment and comfort owning ambiguous work, setting priorities, and meeting filing deadlines with minimal oversight - Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications - 12+ years of experience in financial reporting, SEC reporting, or public accounting, including time at a public company or one preparing to go public - Have built or run a peer disclosure benchmarking program, including use of EDGAR full-text search or XBRL data - Have built reusable Claude or similar AI skills, agents, or processes - Experience with international statutory reporting or consolidation of special-purpose entities - 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: $230,000 - $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.

About the Team We are a small and fast-moving B2B partnerships team that shapes and executes OpenAI’s most important collaborations. We work across the B2B ecosystem, including software vendors, technology platforms, and services partners, to help them bring useful AI offerings to market and reach more business customers. Working closely with Sales, Product, and partner programs, we build channels and repeatable go-to-market approaches that expand customer choice and adoption of OpenAI’s models and products. About the Role As a B2B Ecosystem Partnerships Lead focused on Partner Growth, you will own the onboarding, activation, and growth of a partner portfolio across OpenAI’s expanding ecosystem programs, including marketplace and Sign in with ChatGPT. This is a hands-on individual contributor role centered on partner management, joint go-to-market execution, and commercial growth. Your portfolio may span ISVs, technology platforms,, and other B2B partners as opportunities evolve. You bring a generalist’s range across relationships, business analysis, deal execution, and operational problem solving. You will build repeatable ways to support a growing partner base and take on selected strategic partnerships. In this role, you will: - Identify and recruit partners across B2B segments for ecosystem programs and joint go-to-market opportunities, prioritizing customer needs, product fit, commercial potential, and readiness to participate and grow. - Own day-to-day relationships across your partner portfolio, tailoring engagement to partner needs and opportunity while using repeatable approaches to support a growing partner base. - Develop practical business and account plans with partners and Sales, with clear use cases, target customers, owners, milestones, and adoption and commercial goals. - Negotiate product and commercial agreements with Legal, Finance, and Product, and lead selected high-touch strategic opportunities in coordination with other partnership owners. - Guide partners through program onboarding, technical evaluation, integration, and activation; coordinate enablement and resolve barriers to launch, sustained usage, and expansion. - Execute co-selling, joint marketing, and marketplace opportunities with account teams; coordinate with cloud and other ecosystem partners where they help customers buy and deploy solutions. - Run regular partner reviews, identify inactive or stalled partners, and execute growth plans that improve participation, product adoption, customer demand, and relationship health. - Track onboarding completion, time to activation, active partners, product usage, pipeline contribution, and commercial results with Sales and Operations; use the data to focus effort. - Improve onboarding materials, enablement, and partner engagement practices with program and product teams; turn recurring partner issues into fixes that help the broader ecosystem scale. You might thrive in this role if you have: - 8+ years of experience in partnerships, business development, partner or account management, enterprise sales, or related commercial roles in technology. - Experience managing and growing a portfolio of B2B partners or accounts, with measurable results in onboarding, adoption, retention, or commercial expansion. - An understanding of B2B business models, partner channels, and how companies bring products and services to market. Experience with ISVs, technology platforms, services partners, or cloud marketplaces is a plus. - Strong business judgment and analytical skills: you can assess partner economics, prioritize a portfolio, and build repeatable processes that help more partners succeed. - Ability to work across Product, Engineering, Sales, Marketing, Legal, and Finance, build trust with partner teams, and drive progress without formal authority. - A generalist mindset, curiosity about AI, and the ability to learn new products and markets quickly. You can discuss integrations with technical teams and connect capabilities to customer value. - Clear communication, sound negotiation skills, and reliable follow-through. You are comfortable balancing relationship building, structured planning, and hands-on problem solving in a changing environment. 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.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities - Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office - Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically - Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace - Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain - Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans - Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person - Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land - Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers - Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards - Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap You May Be a Good Fit If You: - Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on - Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting - Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability - Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them - Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure - Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly - Have defined engineering practices for a team, especially one where most contributors aren't developers - Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built - Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: - Q-SYS Lua scripting and plugin development - Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK - Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code - Jira, Slack, and PagerDuty APIs and automation - Crestron, Extron, or other control system programming - Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS - Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations - Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment - Q-SYS Level 2, CTS, or equivalent demonstrated capability Role Specific Location Policy: - This role will be based in our San Francisco or New York City office - This role is expected to be in office 50% of the time - Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing - Business-hours escalation coverage for the tools and platforms this role owns Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 are seeking a Strategic Finance Lead to provide finance leadership for our network infrastructure. In this role, you will be a key partner to our infrastructure teams, providing financial expertise and guidance to optimize our networking investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of networks, from the monthly cost of connectivity and colocation to the long-range planning of fiber and data center builds. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment. Key responsibilities - Finance lead for network capex and opex, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain detailed bottoms-up data-driven financial models for network infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling - Develop expertise in connectivity, colocation, and equipment contracts, pricing structures, and cost drivers, and surface optimization opportunities - Subject matter expert on Anthropic’s network buildout, source of truth and plan of record - Support the implementation and management of financial planning and procurement tools, ensuring our models and processes scale with the organization - Analyze the economics of build, lease, and service options for network capacity, including ROI across dimensions like term, route, and ownership, and distill into actionable framework for capacity planning and deployment - Partner closely with network engineering teams to understand how capacity, lead times, and site readiness scale, and translate those technical dynamics into financial frameworks Minimum qualifications - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks - Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences - Proven track record of partnering with technical teams to drive financial optimization initiatives - Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change - Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines - Strong relationship building, business judgment, process management, and communication skills - Are passionate about Anthropic's mission to build safe, transformative AI systems - Are passionate about the effective integration of AI tools to streamline manual finance workflows - Background in network, telecom, or large-scale computing infrastructure, including data centers, cloud service providers, etc Preferred qualifications - 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with telecom, datacenter, or network infrastructure experience - 3+ years of experience specifically in network infrastructure financial management - Experience working directly with major carriers, colocation providers, or hardware vendors - MBA or other advanced degree in finance, economics, or business - Expertise in connectivity, equipment, or lease economics, contract structures, and pricing models - Experience with capital project or long-lead equipment economics - Proficiency with financial modeling tools and languages (SQL, Python, Excel) - Experience building a computer, homelab, or home network from scratch 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 - $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role Preferable to have someone near an office in NYC or San Francisco, but open to hiring around the world for the right candidate. Runway Creative is an all-in-one platform giving creators and businesses endless ways to generate and edit video, images, and audio. Our customers range from individual creators on self-serve plans to studios and enterprise marketing teams, and they generate with both Runway's own models and leading third-party models, all on one platform. We're hiring a Pricing & Packaging Lead to own how Runway creates and captures value across all of it. You'll partner closely with our Self-Serve Product Lead to evolve our plans and credits, build the path from self-serve to enterprise, and set the pricing for every model we launch and every third-party model we serve. You'll build the pricing framework the rest of the company uses, and you'll be accountable for revenue growth, gross margin, and customer trust in equal measure. What you’ll do - Own self-serve pricing & packaging: partner with the Self-Serve Product Lead on our plan ladder and credit design, including allowances, rollover, top-ups, annual vs. monthly, and regional pricing. Run a continuous program of pricing and packaging experiments with Growth and Data. - Build the path to enterprise: design the triggers, team and workspace constructs, seat and credit-pool models, and commit and consumption contracts that move customers from self-serve to enterprise. Equip Sales with pricing playbooks, discount bands, and deal guardrails. - Create a company-wide pricing framework: publish Runway's pricing principles, value metrics, and decision process so any product team can price new features and products with confidence. Run a regular pricing council with Product, Finance, Research, and GTM. - Price our models: set launch pricing for every Runway model release, working with Research and Infrastructure on cost-to-serve. Define how model pricing evolves from launch through deprecation as inference costs change. - Own third-party model economics: set credit pricing and target margins for the partner models we serve, monitor competitive pricing, and work with Partnerships on vendor terms. Make per-model margin visible to the whole company. - Keep pricing changes trustworthy: own how we communicate every pricing change, from advance notice and in-product usage visibility to spend controls and customer FAQs. Changes should land as clearly as they were designed. - Build the team: hire and lead a small pricing team over time, and partner closely with billing engineering to turn decisions into systems. What you’ll need - 10+ years across pricing, monetization, strategy, or strategic finance, with 5+ years directly owning pricing and packaging decisions. A track record of moving revenue, conversion, and margin, not just producing recommendations. - Deep experience with usage, credit, or consumption-based pricing. You can build a cost-to-serve and margin model from compute and inference inputs, and you understand how hybrid seat + usage models behave in the wild. - Experience across self-serve and sales-led motions. You've shipped pricing changes for PLG subscription products and designed the contracts and guardrails that support enterprise expansion. - Rigorous and experimental. You're fluent in pricing experiments, willingness-to-pay research, and cohort analysis, and comfortable in SQL and financial models. - You thrive in an environment with rapid pace and a high accountability culture. You make decisions with incomplete information and know when a pricing call needs more data and when it needs to ship. - Excellent written and verbal communication. You can drive a decision across Product, Finance, Research, and Sales, and explain a pricing change to customers in a way that builds trust. - Bonus: pricing experience at an AI lab, AI-native product, API or developer platform, or creative tools company; experience pricing third-party or marketplace offerings. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

About the Team The APAC team is responsible for bringing OpenAI’s mission, products, and partnerships to life across one of the company’s most strategically important regions. As we scale our presence across Asia-Pacific, we are building a regional operating model that enables strong local execution, consistent global alignment, and long-term impact across businesses, products, markets, and functions. About the Role We are looking for a Strategy & Operations Lead to lead and scale operational excellence across India. Reporting to the VP for South East Asia & ANZ, this leader will work hand in hand with the VP to translate global strategy into regional execution, ensure operating discipline across markets and functions, and help the business scale with consistency, speed, and rigor. This person will act as a key bridge between global leadership and regional teams, bringing clarity to priorities, building scalable operating systems, and ensuring the region is set up to deliver against ambitious business goals while keeping the long-term opportunity in mind. In this role, you will: - Defining and implementing the South East Asia & ANZ operating strategy in alignment with APAC & global objectives and regional priorities. - Driving execution across key markets, ensuring consistency while adapting to local needs, regulations, and market dynamics. - Partnering with global leadership to prioritize initiatives, allocate resources, and ensure strong execution in-region. - Establishing KPIs, reporting frameworks, and operating cadences to track performance and inform decision-making. - Building and optimizing scalable processes across business lines, including consumer, product, partnerships, and other key functions. - Identifying operational gaps and inefficiencies, and implementing continuous improvement initiatives. - Supporting market entry strategies and operational readiness for South East Asia & ANZ - Enabling strategic partnerships through strong operational frameworks and close partnership with relevant teams. - Helping build a strong regional functional leadership team and ensuring the regional operating system runs smoothly and efficiently. - Collaborating closely across functions to drive accountability and deliver against regional goals. - Ensuring seamless coordination between global and regional stakeholders. - Acting as a central point of accountability for operational delivery across South East Asia & ANZ. - Building, leading, and mentoring a high-performing regional operations team. - Fostering a culture of accountability, inclusion, operational rigor, and continuous learning. - Developing leadership bench strength across key markets and functions. You might thrive in this role if you have: - Significant experience leading regional or international operations in a fast-scaling, complex business environment. - Strong strategic and operational judgment, with the ability to translate high-level goals into clear execution plans. - Experience operating across multiple markets, functions, and business lines, ideally within South East Asia & ANZ. - A track record of building scalable operating systems, processes, metrics, and reporting frameworks. - Strong cross-functional leadership skills and the ability to influence senior stakeholders across global and regional teams. - Excellent business judgment, with a bias toward action and strong accountability for outcomes. - Experience supporting market expansion, operational readiness, and/or regional growth initiatives. - Strong people leadership skills, including experience building and developing high-performing teams. - Comfort operating in ambiguity and creating structure in fast-moving environments. - High integrity, low ego, and a collaborative leadership style. - Strong written and verbal communication skills, with the ability to bring clarity to complex topics. 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.

About the Role This is a foundational treasury role within the Finance team. As we continue with rapid growth, you will own the day-to-day mechanics of cash, optimal capital allocation, banking, and liquidity at a company that commits significant capital to compute and infrastructure. The role sits between Accounting and Strategic Finance with direct exposure to the VP of Strategic Finance. You should want to build the function, not inherit one. Responsibilities Cash and Liquidity Management - Own daily cash positioning across operating accounts and entities across various banking and treasury partners, and maintain the rolling cash forecasts - Own bank account administration across all entities and banking partners, including account openings and closures, signer updates, KYC requests, and portal access reviews. - Oversee payment controls, including approval workflows, segregation of duties, and review of high-value or unusual wires. - Manage the company’s investment portfolio, including money market funds, bank deposits, and separately managed accounts, in line with the investment policy, and oversee the external managers who run it. - Design and build an in-house investment and hedging program, including direct fixed income, compute price hedging, and yield rates - Develop management reporting covering portfolio performance, market conditions, and policy compliance for leadership and board - Monitor FX exposure from international entities and vendors, and support hedging analysis and execution. - Automate repeatable treasury work such as cash positioning, bank reconciliations, and reporting using AI and workflow tools, while keeping people accountable for every approval and movement of money. - Prepare FBAR filings, manage letters of credit and bank guarantees, and support audit requests related to cash and investments. Qualifications - 4-7 years in corporate treasury, cash management, banking, audit, or strategic finance; high-growth technology or startup experience preferred - Experience with developing and managing an in-house investment program and market hedging - Working knowledge of cash forecasting, bank operations, payment rails, and short-duration fixed income. - Strong controls mindset and attention to detail: this role touches money movement, and accuracy is non-negotiable. - Clear written communication, sound escalation judgment, and comfort building process from scratch. - Nice to have: FX hedging, treasury management systems, debt or credit facilities, IPO and SOX readiness, or CTP, CFA, or CPA progress.

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully fluent in English (spoken and written). Please note that your resume must be submitted in English , and the interview process will be conducted in English. Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday) You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About the Role As Head of First Party Chip Finance, you will be the finance leader for OpenAI’s custom silicon efforts. You will partner with teams across chip design, engineering, infrastructure, supply chain, and finance to turn technical roadmaps into sound investment decisions and financially disciplined execution. This role spans the full chip development lifecycle: evaluating design and roadmap choices, building investment cases, forecasting development and production costs, and supporting manufacturing and deployment at scale. You will give leadership a clear view of program economics, funding requirements, and risks as we build first-party compute capabilities. In this role, you will: - Lead financial evaluation of custom silicon programs, including development investment, production economics, deployment assumptions, and expected returns. Assess first-party chips against alternative compute options. - Build and own program-level models and multiyear forecasts that connect engineering milestones, development spending, manufacturing volumes, supplier commitments, and cash requirements. - Partner closely with chip-design and engineering leaders on technical decisions that affect performance, power consumption, cost, and time to deployment. Translate complex design tradeoffs into clear financial recommendations. - Develop a detailed view of chip and system costs, including wafers, manufacturing yields, packaging, memory, testing, and integration. Identify opportunities to improve economics as programs move from development into production. - Partner with Supply Chain and Procurement on supplier strategy and commercial negotiations, including capacity reservations, volume commitments, prepayments, and contractual risk. - Work with Treasury, Corporate Finance, Accounting, Tax, and Legal to evaluate financing and payment structures, manage financial exposure, and support program execution. - Support commercial deployment and pricing decisions through analysis of unit economics, total cost of ownership, and the relationship between technical performance and economic value. - Establish budgets, reporting, and financial controls that give engineering and finance leaders timely visibility into spending, commitments, milestones, and emerging risks. Build a small, high-performing team while remaining directly involved in the analysis. You might thrive in this role if you have: - Prior experience leading finance for semiconductor or custom silicon programs. You have directly owned investment analysis, program budgets, and financial decisions across chip development and production. - An undergraduate degree in a technical discipline, preferably electrical engineering or computer science. An MBA or equivalent business experience complements your technical foundation. - 10+ years of experience across semiconductor finance, hardware finance, strategic finance, or related fields, with substantial responsibility for complex technical programs. - Strong command of semiconductor economics, including development costs, manufacturing yields, packaging and memory costs, production ramps, and supplier commitments. - Excellent financial modeling skills and the ability to independently build models, test technical and commercial assumptions, quantify uncertainty, and recommend a path forward. - The technical credibility to work closely with chip designers and engineering leaders, understand their constraints, and evaluate tradeoffs across performance, power, cost, and timing. - Experience supporting supplier negotiations, prepayments, and major investment commitments in partnership with supply chain and finance teams. - A hands-on operating style, clear communication, and the judgment to introduce financial discipline while helping technical teams move quickly. You use technology and AI to improve analysis and decision-making. - A strong track record of hiring, leading, and developing high-performing teams. 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.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Customer Marketing Manager to make sure our most important messages are backed by customers who can speak to them. This role works across regions and customer segments on special projects tied to the company's top priorities. When we launch a new model, feature, or initiative, you'll find the customers who can speak to it and get them on the record. We're looking for an excellent communicator who can turn customer stories into multiple formats that flex across channels. This often means working under compressed timelines and leading customer storytelling on some of the most important projects at Anthropic. You'll work closely with Product Marketing, Sales, Brand, Comms, Customer Marketing segment leads, and the writers on our team. The right person has done both product marketing and customer marketing, and has a reporter's nose for a good story. Key responsibilities - Own the customer evidence strategy for the company's top priorities, deciding which claims need customer proof, which customers are best placed to back them up, and where we have gaps to close - Bring what customers are telling us back to Product Marketing and Sales, so our messaging reflects what lands with buyers - Stand up new programs as company priorities shift, setting the scope, the customer list, and the plan to ship quickly - Lead the customer plan for major model and product launches, from which customers we engage with to how their voices show up in the announcement - Partner with Brand and Creative on which customer stories anchor our campaigns and how we tell them - Build proof point libraries and enablement around our key messages, so account teams know which story to use and when - Shape the customer narrative our executives use in keynotes, posts, and customer conversations - Prioritize customer asks when several teams want to tap the same customer, and work with Comms, Legal, and customer executives to get high-profile stories approved Minimum qualifications - Can read a messaging doc and quickly spot what customer proof it needs and where the gaps are - Are a strong writer and interviewer who can get a customer to say something specific and true, then turn it into a story people want to read - Have supported product launches and campaigns with customer proof, often on tight timelines - Have built sales enablement that sales teams kept using after launch week - Are comfortable with technical products and can explain/write what a customer built, and why it matters, in plain language - Know how to work across a lot of teams without formal authority, and can say “not yet” when a request doesn't fit the plan - Have good judgment about when a story is ready and when it needs more work - Enjoy moving between very different projects, sometimes in the same week - Already use Claude to help with drafts and interview prep Preferred qualifications - Have 7+ years in B2B marketing, with time in both product marketing and customer marketing - Worked in AI or developer tools - A background in journalism or editorial - A background in Product Marketing or Messaging - Written keynotes or LinkedIn posts for executives - Run message testing or win/loss interviews to learn what buyers respond to - Worked with Comms or analyst relations on announcements that featured customers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $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.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. What You’ll Do - Own Fireworks AI’s global revenue accounting function, including revenue recognition, contract review, close, reconciliations, reporting, and related controls. - Serve as the company’s technical accounting expert for revenue recognition under ASC 606. - Review complex and non-standard customer contracts and determine the appropriate accounting treatment. - Prepare and maintain technical accounting memos supporting revenue recognition conclusions and significant judgments. - Partner closely with Sales, Legal, Deal Desk, FP&A, Billing, and Finance to evaluate the accounting implications of new products, pricing models, and contract structures. - Establish scalable revenue accounting policies, processes, and controls as the company grows. - Lead monthly and quarterly revenue close activities, including deferred revenue, contract assets and liabilities, variable consideration, and revenue-related balance sheet accounts. - Support external audits and serve as the primary point of contact for revenue-related accounting matters. - Identify opportunities to automate and improve revenue accounting workflows, systems, and data integrity. - Build and lead a high-performing revenue accounting team over time. - Support broader technical accounting initiatives, financial reporting requirements, and readiness for future public-company standards. What We’re Looking For - 10+ years of progressive accounting experience, with substantial experience in technical revenue accounting. - Deep expertise in ASC 606 and experience applying the standard to complex technology or SaaS contracts. - Strong understanding of usage-based, consumption-based, subscription, and enterprise contract structures. - Experience evaluating non-standard terms such as minimum commitments, prepaid credits, discounts, rebates, service-level arrangements, contract modifications, and variable consideration. - Strong technical accounting research and memo-writing skills. - Experience working in a high-growth technology company; experience with AI, cloud infrastructure, developer platforms, SaaS, or consumption-based businesses is especially relevant. - Prior experience managing revenue close processes, internal controls, and external audit relationships. - Ability to partner effectively with commercial teams while maintaining sound accounting judgment and appropriate controls. - Strong systems orientation and experience scaling revenue accounting processes through automation. - CPA strongly preferred. - Public accounting experience, particularly with a Big Four firm, is preferred. What Success Looks Like You will build a technically rigorous and scalable revenue accounting function that enables Fireworks AI to grow quickly while maintaining accurate financial reporting. You will be a trusted advisor on complex deals and new business models, ensuring that revenue accounting considerations are understood early and reflected appropriately in the company’s financial statements. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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 a Program Manager to join our Accounting organization and help it run as one global team. Accounting is scaling at an unprecedented pace across multiple hubs, and the goals, rhythms, programs, and people that make up the team need to stay connected as we grow. In this role, you will own that connective tissue: the annual goal-setting cycle, the leadership team’s operating cadence, org-wide events and internal communications, and the programs that make a distributed team feel like one. You will partner with Accounting leadership, the People team, Finance Systems, and hub leads. This is a hands-on role with a lot of range: part chief of staff, part program manager, part culture builder. Responsibilities Goals and operating rhythm - Run the annual goal setting process and the reporting that tracks progress against those goals. - Look at how the org actually operates (meetings, handoffs, planning cycles, decision making) and fix what isn't working. - Maintain one org-wide planning calendar that shows close, audit, and team milestones alongside company-wide and team events, so leaders can see the pressure points and plan around them. - Build and maintain a simple set of org health metrics (attrition, engagement scores, hiring pipeline, training completion, survey trends) and report on them regularly. Leadership and org-wide events - Run our extended leadership team (XLT) program, including agendas, meetings, follow-ups, and action items. - Own planning and agenda for the annual offsite and run the quarterly team all-hands. - Write the internal updates: a regular team newsletter, plus talking points when leadership needs to explain a change to the whole org. People and culture - Coordinate projects across the org that support employee experience programs. - Partner with the People team to roll out training and development programs for Accounting. - Review team survey results, identify the themes, and build action plans to address the feedback. Follow through and report back to the team. - Run hub programs, including visit and rotation programs, local hub events, and meeting norms that work across time zones, so we feel like one global team. - Run recognition and team rituals: wins, milestones, anniversaries, and peer recognition, especially across hubs. Team operations - Support contractor management, including onboarding, tracking, and coordination with the right partners. - Keep the team's knowledge base current: wiki, org charts, role descriptions, and key process docs. - Keep the team calendar accurate so everyone knows what's coming. Preferred qualifications - 7+ years in program management, operations, chief of staff, or strategy roles. Experience inside a finance or accounting org is a plus, but not required. - A track record of running recurring programs end to end and getting people to follow through without formal authority. - Good judgment about what matters and what doesn't. You can handle a lot of moving pieces without dropping them. - Clear, direct writing. You can brief a senior leader in a few sentences. - Comfort with confidential information and sensitive people topics. - Experience supporting distributed or global teams. - You're organized, but you also know when a process is getting in the way and should be simplified. 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: $230,000 - $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.

About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. About the Role Fireworks AI is looking for an experienced General Ledger Accountant to own and scale the company's month-end close and general ledger as the business grows rapidly. This role will be responsible for the journal entries, reconciliations, and supporting schedules behind our operating expense accounts and international subsidiaries (APAC and EMEA), including high-volume areas like infrastructure and compute spend, software subscriptions, and prepaid commitments, while helping build the processes, documentation, and controls needed to support a high-growth AI infrastructure business. This person will partner closely with Accounts Payable, Payroll, FP&A, Tax, Legal, and Procurement to ensure transactions are coded, recorded, and reconciled correctly. The ideal candidate is hands-on, detail-oriented, and comfortable owning the close in an environment where systems and processes are still being built. What You'll Do - Prepare and post journal entries for accruals, prepaids, reclasses, and fixed asset depreciation within the close calendar. - Own operating expense accruals, gathering support from Accounts Payable, Procurement, and budget owners and truing up against actuals. - Maintain prepaid schedules and amortization, including software subscriptions, cloud and compute commitments, and usage-based prepaids. - Perform monthly flux and variance analysis on operating expense accounts and explain the drivers, such as headcount, compute, and software spend. - Reconcile balance sheet accounts monthly, including cash, prepaids, accrued liabilities, deposits, fixed assets, and intercompany, and clear reconciling items with Accounts Payable, Payroll, and Treasury. - Tie out payroll and benefits postings to the general ledger. - Support month-end close and reporting for international subsidiaries, including intercompany transactions, eliminations, and FX remeasurement. - Assist with local statutory and tax filing requests for international entities. - Keep general ledger coding accurate across the ERP and spend management platforms, flag mis-mapped transactions, and help maintain the chart of accounts. - Participate in ERP enhancements and upgrade testing, including before-and-after trial balance and GL detail comparisons. - Document close procedures and help build SOX-ready controls, including preparation, review, and evidence standards. - Prepare PBC schedules and supporting workpapers for external auditors and tax advisors, and respond to questions on your accounts. - Identify manual steps in the close and help automate them using ERP functionality and AI-enabled processes. - Assist with tax, compliance, and other accounting projects as needed. What We're Looking For - 4–6 years of general ledger or corporate accounting experience, ideally including time at a high-growth technology or SaaS company; public accounting experience a plus. - Strong grasp of U.S. GAAP and accrual accounting, including prepaid and capitalization policy. - Hands-on experience owning month-end close tasks, including journal entries, accruals, and balance sheet reconciliations. - Experience with multi-entity accounting, intercompany, and foreign currency a plus. - Strong systems orientation, including experience with ERPs such as NetSuite; familiarity with spend management platforms such as Ramp a plus. - Advanced Excel skills and the ability to build clean, auditable schedules. - Experience supporting external audits and preparing clear supporting documentation. - Exposure to SOX readiness, internal controls documentation, or an ERP implementation or chart-of-accounts redesign a plus. - Strong communication skills and comfort asking questions early and partnering across teams. - Comfortable working in an environment with rapidly evolving systems and changing business requirements. - Bachelor's degree in Accounting, Finance, or related field. CPA or progress toward CPA preferred. What Success Looks Like In the first 6–12 months, this person will have: - owned a consistent, on-time close for operating expense accounts and international subsidiaries; - built reliable accrual and prepaid schedules that hold up at audit; - kept balance sheet reconciliations current, with reconciling items cleared each month; - improved GL coding accuracy across the ERP and spend management platforms; - documented close procedures and controls for their accounts; and - reduced manual effort in the close through automation and cleaner processes. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What's Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. - Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators. Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities - Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval - Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online - Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation - Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation - Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality - Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications - Proficiency in Python and SQL - Experience training machine learning models and deploying them to production - Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) - Working understanding of point-in-time correctness and training / serving skew, and how to prevent both - Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications - Experience building or operating a feature platform such as Chronon, Feast, or Tecton - Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams - Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking - Experience with tree-based models on tabular data - Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse - Experience in integrity, spam, fraud, or abuse detection - Experience working with scarce, delayed, or noisy labels - Experience with AutoML or other approaches to automating the ML workflow - Care about the societal impacts of AI and want your work to make powerful systems safer 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 - $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.

About the Team The OpenAI Risk & Audit team is building an enterprise risk capability for a company operating at the frontier of AI. We help leaders identify, understand, and manage the risks that matter most while enabling responsible innovation and durable growth. We are developing a modern enterprise risk management (ERM) program and the technology foundation that powers it. Our work connects risk strategy, governance, compliance, and assurance with high-quality data, automated workflows, continuous monitoring, and AI-enabled analysis. We partner across Finance, Security, Legal, Engineering, Product, People, Operations, and Internal Audit, and provide clear reporting to senior leadership and the Board. We aim to make risk ownership practical, decision-useful, and embedded in how OpenAI builds and scales. About the Role As the Head of Enterprise Risk Management, you will help build and lead an integrated ERM program and the ERM platform that supports it. You will establish common risk language, governance, and decision processes while translating them into scalable systems, data products, and workflows. You will own enterprise risk assessments, maintain a centralized risk register, develop risk appetite and key risk indicators, and help leaders evaluate significant changes such as new products, markets, partnerships, major systems, and strategic investments. This is a senior individual contributor role for a hands-on leader who will build our ERM capability from the ground up, with the potential to build and lead a team over time. You will work with technical and business teams to connect source systems, improve data quality, automate evidence and control monitoring, and use AI to surface emerging risks and accelerate analysis. You will also help create a strong risk culture, coordinate assurance across the three lines, and communicate complex issues with clarity and sound judgment. This is an opportunity to build a next-generation capability from the ground up. 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: - Design and evolve OpenAI’s enterprise risk management framework, including risk taxonomy, governance standards, risk appetite, escalation thresholds, and mitigation expectations. - Lead enterprise risk assessments and maintain a centralized, decision-useful risk register that reflects strategic, financial, operational, technology, security, compliance, and emerging risks. - Establish key risk indicators, continuous-monitoring capabilities, and executive dashboards that translate complex data into clear signals, trends, and actions. - Enable risk-informed change governance for new products, markets, partnerships, acquisitions, major systems, and other high-impact initiatives. - Lead effective governance forums working cross-functionally with key partners such as Compliance, Finance, Security and others, and prepare concise reporting for senior leadership and the Board. - Define the strategy and roadmap for a modern ERM platform that will connect with systems across the enterprise including identity, finance, HR, ticketing, code, and others through reliable integrations and shared data models. - Apply automation, policy-as-code, data analytics, and AI-assisted workflows to evidence collection, control monitoring, issue management, risk analysis, and audit or regulatory responses. - Coordinate risk activities across Finance, Security, Legal, Compliance, Engineering, Operations, and Internal Audit, clarifying ownership and reducing duplication across the three lines of defense. - Build, coach, and lead a high-performing team, strengthen first-line ownership, and foster a culture of practical risk management, curiosity, accountability, and continuous improvement. You might thrive in this role if you have: - 12+ years of experience across enterprise or operational risk, compliance, internal audit, security governance, finance, or related fields, including significant experience leading ERM or GRC programs. - A track record of building or materially scaling an enterprise risk program in a fast-growing, technology-driven, or otherwise complex global organization. - Strong command of ERM and assurance practices, including risk appetite, risk assessments, KRIs, controls, issue management, and the three-lines model; familiarity with frameworks such as COSO or ISO/IEC 27001/27017/27018/27701/42001. - Experience advising executives and presenting risk information to senior governance bodies, with the judgment to make complex tradeoffs clear and actionable. - Technical fluency with GRC platforms, data architecture, APIs, system integrations, cloud environments, and automated workflows; experience with infrastructure-as-code, CI/CD, or policy-as-code is a plus. - Experience using data analytics, automation, or AI-enabled tools to improve risk sensing, evidence analysis, control monitoring, and reporting. - The ability to connect strategic, financial, operational, technology, security, and compliance risks and to work effectively across technical and non-technical teams. - Demonstrated success hiring, coaching, and developing multidisciplinary teams while operating effectively in ambiguity and at high velocity. - A relevant bachelor’s degree or equivalent practical experience; credentials such as CIA, CPA, CISA, CRMA, CRM, or an advanced business, legal, or technical degree are valued. 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.

About the team Governance, Risk, and Compliance (GRC) builds compliance programs and provides assurance for OpenAI’s technology, people, and products. We combine technical understanding with practical operations to reduce risk, support product and research teams, and produce reliable evidence of how our controls work. About the role As a Regulatory Compliance Program Manager, you will build and operate programs that turn regulatory requirements into clear responsibilities, effective processes, and evidence that can withstand external scrutiny. Your work will focus on AI safety/security and content moderation, with privacy operations as an adjacent area. You will partner with Legal and the teams that build and operate our products to scope the work, maintain accurate control narratives, prepare regulatory responses, and lead external assessments for your assigned portfolio. You should be comfortable owning delivery, explaining tradeoffs, and changing your recommendation when the evidence changes. Success means controls have accountable owners, evidence stays current, and teams can respond accurately without repeatedly rebuilding the same work. The initial portfolio and expectations will be agreed with the hiring manager. In this role, you will: - Lead an agreed portfolio of AI safety/security and content-compliance work, including programs associated with the EU AI Act, DSA, OSA, and SB 53, with Legal and relevant experts confirming applicable requirements. - Translate requirements into scoped programs, operating processes, control and evidence responsibilities, milestones, and clear escalation paths. - Build and maintain accurate control narratives and traceable evidence for regulatory requests, reporting, audits, and assessments. - Lead preparation and delivery for external compliance assessments, coordinate the responsible teams, and track gaps through verified resolution or an explicitly owned decision. - Prioritize the work that materially improves compliance outcomes and reduces risk; explain what should proceed, change, or wait and why. - Develop evidence-backed recommendations with Legal, Product, Security, Safety, Integrity, Privacy, and other functional teams. Obtain decisions from the authorized owners for legal interpretation, external representations, and risk acceptance. - Improve operational workflows for content and privacy compliance while keeping implementation and operation of controls with the appropriate functional owners. - Simplify and automate repeated administrative work, test the results, and verify that the improvement is adopted and produces accurate, reliable outputs. - Learn the GRC security-control environment and participate in the team’s on-call rotation, with scope and expectations explained during the hiring process. - Communicate clearly, surface uncertainty early, incorporate feedback, and develop the domain knowledge needed for the next priority. You might thrive in this role if you: - Have practical experience building and operating AI safety/security and content-moderation programs, and can explain your own decisions, contribution, and results. - Have used agentic tooling to automate and improve to scaled processes - Understand relevant technical concepts across model evaluation, training and release, safety controls, content moderation, and post-launch operations, and can explain where specialist input is needed. - Have a strong understanding of relevant AI safety, content, and privacy requirements, including the EU AI Act, DSA, OSA, and SB 53, and experience translating them into operating processes and controls with domain experts and Legal. - Have led regulatory responses and external compliance audits, and can distinguish supported claims from evidence gaps. - Have delivered complex cross-functional programs, scoped practical first increments, and adapted priorities when constraints changed. - Have improved or automated an operational workflow and verified its accuracy, usefulness, and ongoing ownership. - Can maintain precise records, navigate technical/compliance documentation and contract language, follow through on commitments, and judge what to resolve directly or escalate. - Communicate clearly in writing and conversation with technical teams, Legal, leadership, and external stakeholders; explain evidence, uncertainty, recommendations, and tradeoffs. - Work constructively through disagreement, learn from feedback, and take responsibility for outcomes. Privacy program-management experience is a plus. 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.

About the Team OpenAI’s People team supports a complex, rapidly growing organization of researchers, engineers, and business teams. The Compensation function ensures accuracy, scalability, and operational excellence across all compensation tools, systems, and data flows. About the Role We’re hiring a Compensation Operations Analyst to build and run the systems, tools, and processes that power compensation at OpenAI. This role is deeply operational and technical: you will configure HRIS modules, manage compensation tools end-to-end, maintain pristine data quality, and ensure compensation cycles run flawlessly. You’ll partner closely with People Systems, Total Rewards, Finance, and vendors to keep our compensation infrastructure accurate, scalable, and audit-ready. 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: - Own configuration and day-to-day operations of compensation tools and HRIS compensation modules. - Manage annual and off-cycle compensation processes, ensuring data integrity, testing, quality assurance, and on-time execution. - Build and maintain compensation datasets, dashboards, audits, and data flows across systems. - Lead compensation vendor relationships, including implementation, troubleshooting, and data submissions. - Diagnose and resolve system issues, identify root causes, and drive process and tooling improvements. - Partner with People Systems and Engineering to enhance architecture, workflows, and automation. - Ensure high data accuracy across compensation systems and proactively identify gaps, risks, or anomalies. - Translate technical or complex compensation system issues into clear guidance for stakeholders. You might thrive in this role if you: - Have 5+ years of experience in compensation operations, HR operations/systems, or total rewards tooling in high-growth or technology environments. - Have strong HRIS configuration experience, especially with compensation planning modules; Workday and Pave experience is preferred. - Bring rigor and precision to data auditing, validation, and lifecycle management. - Can manage and optimize tools at scale while navigating fast-moving environments. - Communicate effectively across functions and are comfortable working with technical partners. - Are action-oriented, organized, and reliable under tight deadlines. - Have a strong ownership mindset and a bias toward simple, scalable systems. 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.

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 Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: - Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion - Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases - Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions - Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams - Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building You may be a good fit if you have: - 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales - Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies - Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams - Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation - Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures - Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams - Track record of selling technical products in competitive markets - Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns - Passion for making powerful technology safe and societally beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £165,000 - £190,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 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 building agents that run real parts of our business, take on real work, and get better based on the results they produce. You'll build them with whatever is most capable right now: our own agents platform, the latest orchestration tools, and frontier models. The hard part is making them reliable, measurable, and safe enough for the business to depend on. You'll sit in Marketing Engineering and be forward-deployed to our growth pods, where you'll find the problems worth solving and own the solutions end to end. You might be a forward-deployed builder, an applied AI engineer who has taken agents beyond the demo stage, or a full-stack engineer who is curious about growth. Requirements - Python, SQL, LLM APIs and agent orchestration - You've shipped production systems that other people relied on, starting from a vague problem - You've built with LLMs beyond a demo and know how to evaluate them and where they fail - You measure whether what you built worked - Bonus: experience with GTM data or marketing systems. Location This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT and GMT+1 timezones. If you prefer, you can work from our offices in London and Warsaw. 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.