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Partner Specializations Lead
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 Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area. As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input. This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no. Key responsibilities - Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change - Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision - Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes - Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify - Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities - Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams - Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real - Work with Partner Enablement so that partner learning paths and certifications support each specialization - Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working - Design the review process to scale, using Claude and automation so that routine steps don't depend on a person - Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams - Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership Minimum qualifications - Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle - Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders - Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job - Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing - Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams - Work effectively where the process is still being built and the details are still changing - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - Experience designing or running a partner competency, specialization, or credential program at a technology company - Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people - SQL or BI-tool skills sufficient to pull and check your own program data - Experience taking a program from its first launch to a repeatable operating cycle - Experience launching a program publicly with marketing and communications partners - Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up - Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector - Experience designing partner benefits or incentives, and an understanding of how they change partner behavior - Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Head of Enablement Experience & Innovation
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 sales organization is growing quickly across segments, industries, and geographies, and enablement needs to be reinvented to keep up. We are looking for a Head of Enablement Experience & Innovation to build the next generation of enablement with a Claude-first approach: hyper-personalized for each seller, delivered in the flow of work, and measured by what it changes. Most sales enablement still runs on courses, content libraries, and one-size-fits-all programs. You will start instead from what Claude makes possible: understanding what sellers need, designing experiences around their role, tenure, and live deals, and bringing the right guidance into the tools where they already work. This is a rare chance to define what enablement looks like when it is built on the product we sell. This is a leadership role for an innovator with deep expertise in using AI for enablement and a background in user experience design, product management, or workflow design. You have shipped experiences at scale and can show that people used them and performed better. You will start as an individual contributor, set direction, and build a team over time, staying close enough to the field to know when something is not working. Key responsibilities: - Set the vision and roadmap for a Claude-first approach to enablement, deciding what to build, what to retire, and how enablement is designed and delivered - Use Claude to tailor learning to each seller's role, tenure, and live deals - Design workflows that bring guidance to sellers in the tools they already use, at the moment they need it - Lead the learning platform, enablement tools, playbooks, and content hub, using Claude to keep knowledge accurate, current, and easy to find - Run enablement like a product: lead discovery with sellers and sales leaders, work with engineering and design, and test on live deals before scaling - Track adoption and the impact on ramp time, win rate, and attainment, and act on what the data shows - Partner with Sales Leadership, Revenue Operations, Product, Marketing, and the wider Sales Enablement team so that programs, systems, and workflows feel like one experience - Run fast experiments with new Claude capabilities, scale what works, and set clear standards for responsible AI use and data governance in enablement Minimum qualifications: - Deep, hands-on expertise using AI to design and deliver enablement or learning at scale, such as personalized learning, AI coaching, or guidance in daily workflows - Background in user experience design, product management, or workflow design, applied to enablement, learning, or sales tools - Have led the design and launch of a product or learning experience at scale, and can show how adoption and results changed - Have worked directly with senior sales leaders and frontline managers to secure sponsorship for change, including holding a position constructively when they disagreed - Have tested and improved programs with sellers and sales leaders before scaling them - Have defined and tracked adoption and impact measures that go beyond completion and satisfaction scores - Have run programs across multiple geographies, segments, or roles Preferred qualifications: - Experience building and leading a team of senior enablement professionals, and comfort delivering hands-on until you have one - A clear, experience-based view of why learning programs often fail to change how sellers work - Prior experience in a sales or customer-facing role - Experience at an AI company or an enterprise technology company during a period of rapid sales team scaling - Hands-on experience building with Claude or similar AI tools to personalize learning or improve how people find knowledge - Clear written and spoken communication with executive audiences - Experience selecting and running learning platforms and enablement tools 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: $310,000 - $360,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Gas Supply and Transport Lead, US and Canada
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 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 hiring a Gas Supply & Transport Lead to own natural gas supply for Anthropic's non-cloud data center portfolio in the United States and Canada. Some of our campuses will run on gas-fired, behind-the-meter generation. At those sites fuel is the power supply: if gas does not arrive, in the volume and at the pressure the plant needs, the compute does not run. You will set the fuel plan for each site, contract supply and firm transportation, work with our project teams so that interconnects and laterals arrive on a schedule the fuel plan can rely on, and carry the agreements through internal approval to signature. You will work beside the teammates who originate sites and behind-the-meter generation, who contract front-of-meter power, and who schedule the portfolio once it operates. You are this function's first dedicated owner. Responsibilities - Own the fuel plan for each gas-fired site in the United States and Canada: volume and ramp, hourly swing, pressure and gas quality, supply basin and hub, the path from receipt point to plant, how firm each piece must be, and by when, set against the generation design and the site's schedule. - Test gas deliverability early in site selection and diligence: available and expandable pipeline capacity, operating pressure, constraint and curtailment history, single-pipeline exposure, and realistic timelines for new capacity. Tell site origination which sites have a real fuel path and which do not. - Structure and negotiate gas supply agreements with producers, marketers, and midstream companies, from term sheet through internal approval to signature, with legal and outside counsel: index and basis, volume flexibility, delivery point, firmness and force majeure, credit support, and term. - Secure transportation and storage: firm service on interstate, intrastate, and Canadian pipelines, open seasons and precedent agreements for expansions, capacity release, balancing and no-notice services, storage, and local distribution service where that is the only path. - Work with our project and power delivery teams, who own building the delivery infrastructure, to make sure the plans and schedules for taps, meter stations, laterals, compression, and pressure regulation are sufficient and viable for each site's fuel plan. Flag gaps early, and line up the interconnect terms with the supply and transportation agreements. - Make the fuel contracts and the power contracts fit. Work with the energy commercial leads so that fuel supply obligations, heat rate and fuel cost pass-through, force majeure, and curtailment terms in energy services and tolling agreements line up with the gas agreements behind them. - Design for fuel reliability at sites where an interruption means lost compute: second pipeline feeds, storage, backup fuel, cold-weather performance, and curtailment priority, with a plan for critical days and operational flow orders. - Collaborate with Energy Finance on price and basis exposure, and with energy scheduling and portfolio on operations. Financial hedging sits with Finance, and nominations and balancing sit with scheduling. You supply the physical position and the market view, and hand over contracts in a form that can be operated. You may be a good fit if you - Have 8+ years in natural gas midstream, pipeline commercial, gas marketing and origination, or fuel procurement for power generation, including firm transportation or long-term supply deals that you led from term sheet to signature. - Have bought gas and capacity for gas-fired generation or another large load, or have sold to those buyers and know what they should have asked for. - Know how pipelines work commercially: rate schedules, nomination cycles, imbalance and penalty provisions, operational flow orders, capacity release, and how interstate, intrastate, and Canadian regimes differ. - Know the major producing basins and trading hubs in the United States and Western Canada well enough to price basis, compare paths, and judge supply risk. - Know what it takes to get a pipeline interconnect, meter station, or lateral from first request to in-service, and what drives the schedule. - Read and mark up a base contract, a precedent agreement, and a firm transportation service agreement yourself. You use counsel well, and you do not hand them the commercial judgment. - Can build and interrogate a delivered cost of gas model yourself. - Write and speak plainly about large commitments to people outside energy, and coordinate well across teams that do not report to you. - Have built a book, a program, or a function from zero, and are comfortable moving quickly on incomplete information. Strong candidates may also have - Experience supplying behind-the-meter, islanded, or peaking generation, where takes are not ratable and hourly flexibility matters. - Commercial experience in both the United States and Canada. - Experience on the pipeline side of an expansion or greenfield lateral, including the federal, state, or provincial approvals it needed. - Experience with trucked LNG or CNG, on-site storage, or other bridging and backup fuel arrangements. - Time on or alongside a physical gas trading or scheduling desk. - Experience with certified low-methane gas, renewable natural gas, or emissions accounting for fuel supply. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Finance Systems Lead, International
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Finance Systems Lead, International About the role We are seeking a Finance Systems Lead to join our Finance Systems team at Anthropic, based in our Dublin office. Dublin is our main international finance hub, and in this role you will lead finance systems for our international entities, partnering closely with the US-based leads and product owners for accounting, revenue, tax, and treasury and strongly influencing the approach. You will find what local teams need, shape international priorities, and bring clear recommendations to those partners, while leading the people who build and support these solutions and keeping a single, consistent global platform. This is a critical role that will directly shape how Anthropic's finance organization operates as we expand internationally and scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with local Finance and Accounting teams, implementation partners, engineering teams, and the wider Finance Systems team to build a world-class financial systems foundation across our global footprint. In this role, you will: - International Finance Systems Leadership: Lead the international finance systems agenda for the Dublin finance hub and other international teams (including EMEA and APAC), finding the problems worth solving without waiting to be asked and partnering closely with the product owners for each finance area, with strong influence on the approach. - Vision, Strategy & Roadmap: Shape the international vision and strategy with business owners and US product owners, map process maturity, and turn goals into a rank-ordered international roadmap that aligns with each domain's roadmap. - Business Partnership: Build trusted relationships with local finance, accounting, tax, and treasury leaders, and work closely with the US-based leads and product owners to agree the approach. - Systems Design: Shape international design decisions with the relevant product owners, build for patterns rather than one-off scenarios, and align with global owners on anything that changes the shared platform. - Delivery Across the Landscape: Drive delivery of international priorities with the relevant product owners, including multi-book and secondary ledgers, statutory reporting, intercompany, assets and leases, and local requirements such as VAT, e-invoicing mandates, and international payment formats (e.g. SEPA / ISO 20022). - Leading Through Others: Lead business systems analysts, contractors, and implementation partners across time zones, coaching them and reviewing their designs and configuration. - Operational Health: Make sure international users are supported through month end and quarter end close, with clear ownership of issues and of work handed over from the US time zone. - Scaling & Automation: Plan how our systems scale as we enter new countries, identifying opportunities for process improvement and automation, including with AI tooling. Minimum Requirements - Have 10+ years of experience in finance systems, ERP implementation, or finance transformation, with at least 3 years as the accountable lead for a program or region - Have led a multi-country ERP or finance systems program from requirements through go-live and into operation, as the owner rather than a workstream member - Have worked in multi-entity, multi-currency, and multi-GAAP environments, including statutory reporting - Have working depth across at least three of Record to Report, order to cash and revenue, Procure to Pay, tax, and treasury - Possess a strong understanding of financial accounting under US GAAP and IFRS, including general ledger, consolidation, intercompany, and local statutory reporting - Have strong systems design judgment: you build for patterns, know what good architecture looks like, and can read and challenge configuration - Find the work yourself: you have started programs nobody assigned, set a roadmap with little direction, and brought clear options to senior finance leaders - Have led business systems analysts, consultants, and implementation partners across time zones, and partner well with controllers and with tax and treasury leaders - Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines Preferred Requirements - Deep Workday Financials experience (comparable depth in Oracle Cloud or SAP S/4HANA is also welcome) - Product practice such as PRDs, goals and success criteria, and rank-ordered roadmaps - An accounting qualification (e.g. ACA, ACCA, CIMA, or CPA) - Experience with Workday Business Assets and lease accounting under IFRS 16 / ASC 842 - Experience with Workday Accounting Center or Prism Analytics for journal automation and subledger accounting - Experience with VAT, e-invoicing mandates, or international payment formats and banking integrations (e.g. SEPA, ISO 20022) - Experience supporting Workday Procure to Pay functional areas, including Procurement, Supplier Accounts, and Banking and Settlement - Knowledge of SOX compliance requirements and internal controls for financial systems, including multi-country environments - Experience supporting entity setup or expansion into new countries - Technical proficiency with SQL, Python, or Workday reporting tools for data analysis and integration support - Big 4 or Workday partner implementation experience, or prior experience at high-growth technology companies scaling toward IPO readiness 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: €195.000 - €230.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Enterprise Account Executive - Healthcare & Life S...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an Enterprise Account Executive at Anthropic based in Seoul, you’ll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises within Korea’s Healthcare & Life Sciences space — pharmaceutical and biotech companies, CDMOs and CROs, medical device and diagnostics makers, hospital systems, and digital health companies — unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the Korean landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic’s emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities - Win new business and drive revenue for Anthropic in Korea. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze the Korean Healthcare & Life Sciences landscape, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns - Spearhead market expansion by pinpointing new customer segments and use cases across R&D, clinical development, regulatory and quality, manufacturing, and patient- and provider-facing functions. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge - Help customers navigate Korea’s healthcare regulatory and data environment, including Ministry of Food and Drug Safety (MFDS) and Ministry of Health and Welfare (MOHW) requirements, the Personal Information Protection Act (PIPA) and Medical Service Act as they apply to patient data, and GxP/validation expectations - Inform product roadmaps and features by gathering customer feedback and conveying the needs of the Korean market. Provide insights that strengthen our value proposition and enhance the customer experience - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have - 8+ years of enterprise Healthcare & Life Sciences sales experience in Korea, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - A genuine understanding of how Korean hospitals and life sciences companies make technology decisions, including the role of regulators, quality and compliance functions, and IT governance - A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions - Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups - Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills in both Korean and English, and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely What We Offer - Competitive base salary and commission - Equity participation - Comprehensive benefits - Hybrid work model - Access to cutting-edge AI technology and world-class research team 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Enterprise Account Executive - FSI
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive based in Seoul, you'll drive adoption of safe, frontier AI technology across Korea's financial services industry — banks, insurers, asset managers, and fintech companies. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize operations, risk, and customer-facing functions with Anthropic's AI solutions. Key responsibilities - Own and exceed revenue targets by winning new accounts and expanding relationships across Korea's FSI companies. - Build and execute territory plans, identifying opportunities across retail banking, corporate/investment banking, insurance, asset management, and fintech-adjacent units - Lead consultative sales processes with senior stakeholders — including heads of digital transformation, risk and compliance leaders, IT leadership, and business-line executives - Navigate Korea's FSI regulatory environment, including Financial Supervisory Service (FSS) requirements, data residency, model risk, and financial-sector compliance - Work with internal teams (Product, Engineering, Applied AI, Partnerships, Legal) to tailor solutions that meet financial-sector security and compliance standards - Stay informed on trends shaping Korean FSI, including digital banking, AI in risk/underwriting, and regulatory shifts around AI use in finance Preferred qualifications - 8+ years of enterprise sales experience in Korea, with significant exposure to financial services - A genuine understanding of how Korean financial institutions make technology decisions, including the role of regulators, internal risk/compliance functions, and IT governance - Direct experience navigating Financial Supervisory Service (FSS) requirements and review processes — this is required given how heavily FSS oversight shapes technology adoption in Korean FSI - A track record of managing complex, multi-stakeholder sales cycles typical of FSI, including rigorous security and compliance review - Proven experience exceeding revenue targets within financial services accounts - Excellent communication skills in both Korean and English - A passion for AI built and deployed safely What We Offer - Competitive base salary and commission - Equity participation - Comprehensive benefits - Hybrid work model - Access to cutting-edge AI technology and world-class research team 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior/Lead VLS Engineer - Global Circuits
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the team div]:bg-bg-000/50 [&_pre>div]:border-0.5 [&_pre>div]:border-border-400 [&_.ignore-pre-bg>div]:bg-transparent [&_.standard-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-[var(--msg-text-inset,0.5rem)] [&_.standard-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8 [&_.progressive-markdown_:is(p,blockquote,h1,h2,h3,h4,h5,h6)]:pl-[var(--msg-text-inset,0.5rem)] [&_.progressive-markdown_:is(p,blockquote,ul,ol,h1,h2,h3,h4,h5,h6)]:pr-8"> _*]:min-w-0 gap-3 [&_>_*:last-child]:mb-0 print:block print:[&_>_:where(:not(:first-child))]:mt-3 standard-markdown"> The team integrates SambaNova's AI accelerators into rack scale systems and gets them deployed in customer datacenters. We handle the racking and stacking of tightly integrated network, power, and compute equipment in both prototype and production environments, and we take rack solutions through prototyping into mass production so they stay manufacturable and serviceable at scale. We work with architects, engineering teams, customer datacenter teams, sales, and marketing, and we manage vendor relationships to line the equipment up with our current and future roadmap. Position Overview We are looking for a Senior / Lead VLSI Design Engineer to serve as the architect and hands-on owner for various global circuit areas including custom clocking, low-power design technqiues and power distribution integrity while championing chip-level PLL, IO, ESD, and Latch-Up strategy and Integration. In this role, you will design and optimize ultra-low-jitter, low-skew and low-power custom clock distribution networks from the ground up as well as in-depth power analysis and developing low power solutions. Utilizing your deep hands-on background in PLL, ESD, Latch-Up, and IO design, you will partner with specialized IP teams to ensure seamless SoC integration and drive full chip compliance across strict performance and reliability targets. Key Responsibilities - Architect, design, and perform transistor level circuit design and optimization of custom ultra-low-jitter, low-skew chip-level clock distribution networks (H-trees, grids, meshes or hybrid topologies) - Perform comprehensive signal integrity (SI), power integrity (PI), jitter, skew, and EM/IR analyses across all chip-level clock distribution networks - Involved in low-power design methodology and power analysis of key components - Power distribution integrity analysis - Collaborate closely with Physical Design teams on floor-planning, custom routing, shielding strategies, and Clock Tree Synthesis (CTS) guidelines - Partner with IP teams to select, evaluate, and integrate custom IO pads, level translators, primary/secondary ESD clamps, and rail protection structures specified by the ESD/Latch-Up methodology - Drive pre-silicon chip-level reliability and clock timing sign-off before tape-out and support for post silicon bring-up. Minimum Qualifications - Bachelor’s or Master’s degree in Electrical Engineering or Microelectronics. - 8+ years of custom analog/mixed-signal VLSI design experience in advanced process nodes (FinFET / GAA, e.g., 7nm, 5nm, 3nm, 2nm). - Experience designing custom clock networks, low-power design techniques, and custom IO/ESD/Latch-Up circuits. - Deep knowledge of physical layout requirements for high-speed clocking, parasitic extraction, and low-resistance interconnects. - Strong cross-functional collaboration and technical communication skills to bridge chip architecture with specialized IP deliverables. - Experience with Transistor-level circuit simulators, Transmission Line Theory, Jitter and Skew analysis/methodology, PERC, ESD, EM/IR analysis, and parasitic extraction tools. - Deep familiarity with leading semiconductor foundry ESD and Latch-Up design rules, guard-ring guidelines, and sign-off flows across advanced nodes. Preferred Qualifications - MS/Ph.D. in Electrical Engineering with experience on custom Analog/Mixed-Signal IC Design or silicon reliability. - 10+ years of industry experience with a track record of driving complex top-level silicon integrations. - Experience leveraging modern AI tools and AI-assisted workflows to write scripts (e.g., Python, TCL, SKILL) for flow automation, productivity enhancement, and simulation post-processing Base Salary Range: Base Pay Range $210,000 - $280,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Software Engineer, Guardian
About the Team The Guardian team builds practical safety and oversight systems for increasingly capable AI agents. Our goal is to make it possible for agents to take on longer-running, higher-autonomy work while preserving meaningful safeguards, respecting user intent, and intervening when actions could cause serious or difficult-to-reverse harm. Auto-review is an early example of this work. When an agent reaches a permission boundary, a separate model evaluates the proposed action in context and determines whether it should proceed. The team is now extending this foundation into more capable oversight systems that account for richer user context, support a broader range of agent experiences, and integrate across OpenAI products. Guardian sits at the intersection of engineering, alignment research, product, infrastructure, and security. The team already has a strong engineering foundation in London and will continue to grow there as a concentrated, highly collaborative group. About the Role We are looking for a Software Engineer to join the Guardian team in London. You will design and build production systems that evaluate agent behavior, identify risk, and take appropriate action without creating unnecessary friction for users. This is a hands-on engineering role with substantial technical depth and ownership. You will work across architecture, implementation, evaluation, and operations, taking projects from early exploration through production deployment. The work requires strong engineering fundamentals, sound product judgment, and comfort solving problems where both the requirements and the underlying technology are evolving. You will work closely with alignment researchers to translate emerging research into dependable systems, and with product and engineering teams to make agent safety a foundational capability across OpenAI. This role is based in our London office. In this role, you will: - Design, build, and operate core components of Auto-review and the broader Guardian platform, balancing safety, product utility, latency, and operational reliability. - Build production systems that evaluate agent actions in real time, detect potentially harmful behavior, and support safe recovery or escalation paths. - Improve how oversight systems understand user intent, environmental context, permissions, and relevant personalization signals while protecting privacy and avoiding unnecessary friction. - Partner closely with alignment researchers to turn prototypes, evaluations, and new monitoring techniques into scalable product capabilities. - Work across Product, Security, Infrastructure, and other engineering teams to integrate Guardian capabilities into agent experiences throughout OpenAI. - Develop evaluations, adversarial tests, and monitoring to understand safety performance, false positives, latency, and user impact. - Own projects end to end, contribute to technical direction and design reviews, and investigate failures to improve system behavior and reliability. You might thrive in this role if you: - Have experience building and shipping complex production software, with ownership across design, implementation, deployment, and operation. - Have built with AI agents or large language models in a core product, startup, or technically serious independent project, and understand the unique challenges of agentic systems. - Bring strong software engineering fundamentals and can design reliable backend services, APIs, and infrastructure. - Exercise sound product-engineering judgment and can navigate tradeoffs across safety, usability, speed, and reliability. - Enjoy working closely with researchers, translating open-ended ideas into practical systems, and using experiments and evaluations to guide decisions. - Are comfortable with ambiguity, take initiative, and communicate clearly across technical disciplines. - Care deeply about building AI systems that are useful, trustworthy, and safe. 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.
Engineering Manager, API Multicloud
About the Team API Multicloud partners with cloud service providers (CSPs) to bring OpenAI’s frontier models and APIs into the cloud environments where developers and enterprises already build. We own the API end to end across CSP platforms, from API integration and request routing through inference execution, capacity management, and day-to-day operations. Our mission is to make these capabilities available broadly and safely while preserving the reliability and developer experience customers expect from OpenAI. Delivering that experience requires work across the stack: adapting API services and cloud-native integrations, bringing up model-serving environments, validating new releases, and operating the systems that connect customer requests to available capacity. We work directly with CSP engineering teams and partner closely with OpenAI’s inference, API, infrastructure, security, and Safety Systems teams. Together, we turn new model capabilities and partner requirements into dependable production services, with attention to performance, operational readiness, and efficient use of compute. Our work contributes to OpenAI’s AWS partnership , including the launch of Daybreak Red and Daybreak Blue on Amazon Bedrock — and OpenAI’s newly announced Google Cloud partnership will bring our frontier models and Codex agentic workflows to Google Cloud’s Model Garden. These efforts let customers use OpenAI capabilities within the cloud infrastructure, security controls, and workflows they already rely on. About the Role We’re looking for an experienced Engineering Manager to lead the team responsible for building and operating OpenAI’s API across major cloud service providers. You’ll lead a team of engineers focused on establishing scalable, reliable, and efficient cloud deployment platforms that bring OpenAI’s frontier models to customers across multiple cloud environments. In this role, you'll own the technical direction, execution, and operational excellence of the API Multicloud platform. You'll guide your team through complex infrastructure challenges, including deploying model-serving environments, scaling capacity, optimizing performance and utilization, and building reusable systems that enable OpenAI to expand across CSP platforms. You'll balance long-term architectural investments with the urgency of delivering new model capabilities and partner integrations. You'll work closely with engineering leaders across inference, API, infrastructure, security, and Safety Systems, while building strong technical partnerships with CSP engineering teams. Your team will play a critical role in determining how quickly OpenAI can bring new models to market, how reliably those models operate, and how efficiently we scale our infrastructure across cloud providers. You'll also be responsible for building and developing a high-performing engineering team, setting clear technical priorities, and fostering a culture of ownership, collaboration, and operational excellence. In this role, you will: - Lead, mentor, and grow a high-performing engineering team responsible for building and operating OpenAI's API infrastructure across multiple cloud providers. - Define the technical vision, strategy, and roadmap for API Multicloud, ensuring the platform is scalable, reliable, and efficient. - Drive the architecture and execution of complex distributed systems that support API routing, model serving, and cloud infrastructure across CSP environments. - Partner closely with inference, API, infrastructure, security, and CSP engineering teams to launch new models, expand platform capabilities, and deliver reliable production services. - Own the reliability, performance, and operational excellence of the platform, driving improvements in capacity planning, infrastructure efficiency, and deployment processes. - Recruit and develop exceptional engineering talent, fostering a culture of technical excellence, ownership, and continuous improvement. - Set clear priorities, navigate ambiguity, and drive cross-functional execution while balancing near-term business needs with long-term technical investments. You might thrive in this role if you have: - Experience leading, building, and developing high-performing engineering teams responsible for large-scale cloud infrastructure, distributed systems, or platform engineering. - Strong technical background in distributed systems and cloud infrastructure, with the ability to drive architectural decisions and provide technical guidance to senior engineers. - Experience building and operating production infrastructure on major cloud platforms such as AWS, Google Cloud, or Azure. - Proven track record of leading complex, cross-functional engineering initiatives from architecture through production launch and ongoing operations. - Strong understanding of scalability, reliability, performance optimization, and infrastructure efficiency in large-scale production environments. - Demonstrated ability to hire, mentor, and develop engineering talent while fostering a culture of technical excellence, ownership, and execution. - Strong communication and collaboration skills, with experience influencing technical direction across engineering teams and external partners. - Experience with AI infrastructure, inference systems, or model serving 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.
AWS Alliances Lead
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role You will be LangChain's dedicated cloud alliance lead for AWS, owning the relationships and revenue motions that make these partnerships produce real pipeline. This is a senior individual contributor role sitting within the Partnerships team where you'll be close to the product, close to the field, and expected to drive results without a lot of hand-holding. You'll own co-sell execution and marketplace presence end-to-end, working with cloud partner teams, field sellers, and LangChain's GTM organization to turn partner relationships into closed deals. What You'll Do Co-sell and pipeline - Own and grow LangChain's co-sell motion with AWS: manage joint pipeline, coordinate deals with AWS field teams, and drive sourced and influenced revenue. - Partner with LangChain sales leadership to define priority co-sell accounts, map territories to AWS coverage, and run co-sell plays region by region. - Keep ACE hygiene high across the sales team so that opportunity sharing, acceptance, and launch become routine rather than a partnerships-team chore. Marketplace - Own LangChain's AWS Marketplace presence end to end: listings, private offers, CPPO through channel partners, and program enrollment. - Operate our marketplace GTM platform (Suger today) and extend referral and offer automation so sellers can transact through Marketplace without partnerships-team involvement. Programs and funding - Operationalize AWS funding mechanisms across the team: MDF (market development funds for co-marketing), proof-of-concept credits, ISV Accelerate benefits, and any strategic collaboration funding we secure. - Pursue AWS competency and specialization programs that strengthen our positioning with AWS sellers. - Track funding drawn down against funding available and report it monthly. Executive and partner relationships - Own LangChain's working relationships at AWS: partner development managers, ISV sales managers, Marketplace category leads, and the Bedrock and AgentCore partner teams. - Build executive sponsorship on both sides, and run a joint business plan with AWS that sets shared goals and a review cadence. - Navigate the coopetitive dynamic: partner closely with AWS on Bedrock and AgentCore while differentiating LangGraph and LangSmith where AWS has competing offerings. Field enablement and marketing - Equip LangChain sales, solutions engineering, and marketing with better-together messaging, competitive positioning, and joint sales plays for AWS accounts. - Partner with marketing on co-branded campaigns, content, and events that generate pipeline, including re:Invent, AWS Summits, and joint customer programs. - Communicate results clearly to internal stakeholders, including a monthly readout on pipeline, Marketplace, and program activity. What You'll Bring - 6+ years in cloud alliances, partner sales, or business development, with direct, hands-on ownership of an AWS relationship. - A track record of scaling a hyperscaler co-sell motion, not just starting one: you have taken a working AWS alliance to materially higher Marketplace share, pipeline, or partner-sourced revenue, and you can describe the mechanisms that got you there. - Deep working knowledge of AWS Marketplace transactions and programs: private offers, CPPO, ACE, ISV Accelerate, and the funding programs available to ISVs. - Experience operating a marketplace GTM platform such as Suger, Tackle, or WorkSpan, including referral and offer automation. - Experience shaping and running a joint business plan with a hyperscaler, including executive sponsorship on both sides. - Enough technical foundation to speak credibly with builders. You do not need to write code, but you need to understand how LangGraph, LangSmith, and LangChain fit into a customer's AWS stack. - Experience in a startup or high-growth environment where you set the operating rhythm for a partner motion rather than inheriting one. - Strong operational discipline: you manage pipeline in the CRM, track partner activity, and report results clearly to internal stakeholders. - Excellent communication and relationship-building skills, with comfort owning senior relationships at a large cloud organization and resolving conflict constructively across company lines. Nice to Have's - Prior experience inside AWS in partner sales, ISV, or Marketplace roles, with a working understanding of how co-sell decisions and seller compensation work internally. - Experience with commercial contracts with AWS like SCAs. - Existing relationships across the AWS ISV, field, Marketplace, and Bedrock partner teams. - Familiarity with the AI/ML ecosystem: how LLMs, agents, and developer tooling fit into enterprise stacks. - Experience with AWS partner programs specific to AI and data, such as the Generative AI Competency and related partner tracks. - Prior experience at a developer tools or infrastructure company with a product-led growth motion. Annual salary range: $200,000 - $250,000 OTE + Equity 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.
Staff+ Software Engineer, STEM
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 mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Bringing Claude to scientists and engineers is a big part of building toward that future. Claude has already helped uncover a novel enzyme system , formalize Fermat’s Last Theorem , design more efficient quantum circuits , and compute new results in theoretical physics — and this is just the beginning. You’ll figure out what scientists and engineers need from Claude and build it from 0→1. You’ll be a technical leader with a high degree of autonomy, helping clear the path to harnessing scientific AGI. You’ll work with internal experts and industry partners. Initiatives like our AI for Science Program will connect you with researchers we support in high-impact work across scientific fields. Key responsibilities - Build products that unlock scientific discovery - Partner with product management, design, and go-to-market to make complex workflows, like modeling and simulation, simple to run with Claude - Work closely with research to make models better at science and engineering - Spend time with users in academia and industry to decide what to build next - Own technical design and delivery end to end, shipping product quickly rather than just executing a spec Minimum qualifications - Software engineering experience, including owning the technical design and delivery of products - Experience building products from 0 to 1 in fast-moving environments, and setting technical direction with limited precedent to lean on - Experience building AI products, and knowledge of what it takes to turn model capabilities into applications people actually use - Ability to think holistically about user experience and craft tools that are a pleasure for scientists and engineers to use - Comfort working directly with technical domain experts and customers, and turning what you learn into product - Enjoyment of solving hard problems together with researchers, scientists, and other engineers Preferred qualifications - 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level - Background in math, physics, materials science, mechanical or electrical engineering, or another science or engineering field - Experience building software for scientists or engineers, such as CAD, simulation, electronics design, or scientific computing tools - Experience as a founder or early engineer at a company building tools for scientists or engineers - Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Political Economist, Rule of Law
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 has done pioneering work examining the economic impacts of AI. The AI & Rule of Law team takes an analogous approach to a different question: how will AI affect our constitutional democratic institutions? Increasingly powerful AI systems will put pressure on societal functions at every level — the courts, legislatures, electoral systems, oversight bodies, and the legal frameworks that hold democratic governance together. Our team exists to ask hard questions about those vulnerabilities, and to seek out strategies for protecting democratic freedoms — in the short and long term, through both technical and policy levers. This is early, high-stakes research. The team is small, the problems are genuinely unsolved, and the work will matter. We are looking for someone with deep expertise in both AI and at least one of: law, government, political science, or public policy. The ideal candidate understands the technical landscape well enough to reason about AI capabilities and risks, and understands democratic institutions well enough to see where those risks become structural threats. Key responsibilities Projects on this team are illustrative rather than fixed — we expect the research agenda to evolve as both AI capabilities and institutional pressures change. Current and expected focus areas include: - Making fundamental contributions to the development and expansion of our public data and research on how people use AI for politics, including regular reports and deep dives on elections and policy topics, and grow into leading this work over time - Designing and conduct empirical research on AI’s political effects, drawing on external data sources and the privacy-preserving measurement systems internally - Designing, running, and analyzing experiments on systems of many AI agents, testing whether and when tools from political economy (rules, monitoring, voting, dispute resolution) help agents govern themselves and stay under human oversight - Developing new methodological approaches for studying AI’s impact on: - Developing measurement and causal-inference tooling to help Anthropic evaluate the downstream political consequences of its own training, product, and policy decisions - Building and maintaining relationships with academic institutions, policy think tanks, and other research partners, and serve as the point of contact for outside researchers who use our data - Working cross-functionally with other technical teams to improve our measurement infrastructure and data collection - Translating research insights into actionable recommendations for model training, product decisions, and policy discussions - Amplifying external engagement through research publications, policy briefs, convenings, and presentations to diverse stakeholders Minimum qualifications - A primary degree in law, political science, or a closely related field at the Ph.D. level - A computational research background in Political Science, Economics, or a related field - Demonstrated ability to produce rigorous, public-facing work — scholarship, policy analysis, government output, or a published body of writing Preferred qualifications - Experience relevant to the study of AI’s impact on politics - Track record of empirical research, particularly studies combining novel data sources and game theory or those implementing frontier methods in causal inference - Comfort operating with significant autonomy in an environment where the problems are new and the playbook is still being written - At least five years of relevant experience in academia, industry, or government Some Examples of Our Recent Work - Preparing for the 2026 US midterms - Measuring political bias in Claude - Clio: Privacy-preserving insights into AI use - Introducing The Anthropic Institute The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $295,000 - $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Head of Partner Services Delivery and Success
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 Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the leader of Partner Services Delivery and Success within Partnerships at Anthropic, you will lead the global field delivery, partner success and partner health teams that make Claude deployments succeed at our customers when our partners build and run them. This is a senior leadership role on the Partnerships leadership team, reporting to the Global Head of Partnerships. A deployment starts with work the business wants an agent to do: a research process in a bank, claims handling at an insurer, engineering workflows in a retailer. A partner's engineers build it against the customer's own systems and data, evaluate it on real work rather than a demo, and put it live. If it holds, the customer builds the next ten themselves and the partner carries the pattern to the next customer in that industry. What good means is the same every time, whoever builds it: on time, on track, high quality, high customer satisfaction, and impact the customer can see in their own business. Holding that across thousands of deployments a year, almost none of which your own people build, is the job. This is a build, and it is a scaling problem. The function is new, the teams are mostly still to be hired, demand is growing far faster than any team can be hired against it, and the way we deploy agents is changing faster than a method written down in advance can keep up with. What you will own - Deployment strategy and approached. Bringing the best ways to deploy Claude to our customers through partners: which deployment approaches we back, which partners we build them with, and how both change as the models and the use cases move. - Field delivery. A global organisation across the Americas and international markets, which you hire, lead and grow. Our own people, in region, alongside the partner's team on live engagements: they run the delivery cadence, hold the work to date and quality, and are the first to know when something is going wrong. Most of the team sits here, and it is accountable for deployments landing on time and on track, to a high quality bar, with high customer satisfaction and impact the customer can see in their own business, against the customer's own deployment plan rather than a partner work order. - Delivery assurance. The standard a Claude deployment is held to, how it is inspected on live engagements, and how a shortfall gets back to the partner as root cause rather than as a complaint. Where a partner's own delivery practice meets that standard, you approve them to carry the work and you assure the result. - Partner success. The partner's own capability to deliver. One person is the point of contact across everything a partner is building, and the method is built with partners rather than handed to them: the patterns that worked on real engagements, turned into something the next partner can run, and the centres of excellence inside our largest partners that let their own engineers deliver to our standard. - Partner health and escalation. An honest read on how every partner is really performing, held apart from the teams that own the commercial relationship so the score can be trusted. A falling score starts an escalation, and it is how we decide what a partner is ready to take on next. - Working with the account team. Account executives, the partner account and success teams, and the partner's own delivery leadership, so that a deployment has one plan and one set of owners rather than three. - The relationships. Delivery leadership at our largest partners, technology and business leadership at their clients, and Applied AI, Customer Success, Sales, Product and Engineering inside Anthropic. Most of what you need you will not control, so this role is carried by trust rather than reporting lines. - The bench. Delivery capability in markets that do not yet have any, built with partners who have not done this work before. You will also build the measurement, since knowing whether a deployment is working is still largely done by the people closest to it; make your own organisation AI-native, running the delivery records, the quality signals and the pattern-finding on Claude; act as the executive sponsor in our most strategic partner-led deployments; travel to partner and customer sites and to conferences for executive-level sessions, technical workshops and relationship building; and stay current with emerging AI trends and the evolving partner market. You may be a good fit if you - Have 15+ years in technical delivery, professional services or solutions leadership, including several years leading leaders. - Have built a delivery organisation rather than inherited one, and have executed through a period when its volume changed by an order of magnitude. - Have been accountable for whether large enterprise deployments reached production and were used, not only whether they were delivered to plan. - Have run delivery through other people's engineers and still held the quality bar, so you know the difference between assuring work and policing it. - Have worked with or inside global systems integrators and advisory firms, and understand how their delivery practices, staffing and economics actually work. - Understand how to contribute to running a GTM organisation anchored on a consumption business model, not SaaS sales cycles. - Have deep technical proficiency with enterprise AI use cases and agent architectures, and have built with LLMs yourself, including evals and the gap between something that works in review and something that survives in production. - Have strong executive presence and build deep, durable relationships with technical and business leaders, at our partners and at their clients. - Have a passion for making powerful technology safe and societally beneficial. - Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may also have - Led delivery in the first years of a technology. Built the method while delivering with it, and turned what worked on one engagement into what the next hundred start from. 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: $540,000 - $585,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Recruiter, AI
We are seeking an experienced Technical Recruiter to partner closely with engineering leadership and drive a best-in-class hiring experience. The ideal candidate will have a proven track record as a full-cycle technical recruiter in high-growth environments. Success in this role requires strong stakeholder management skills, creative AI-augmented sourcing strategies, and the ability to deliver high-quality hires in a fast-paced startup setting. Beyond the expected; this role requires both a superior level of operational wizardry; and a mastery of storytelling, steeped in a comprehensive understanding of the AI market and technology landscape. You won't just keep pace with how AI is reshaping recruiting, you'll be the one putting those tools to work, using them to find signals others miss and to move faster than the market. What You'll Do - Develop and execute innovative sourcing strategies, leveraging AI tools to surface, engage, and attract top technical talent at scale - Use AI to sharpen every stage of the funnel, from drafting compelling outreach to mapping talent pools and identifying non-obvious candidates - Manage the candidate experience throughout the recruitment process, providing timely feedback and updates - Build strong partnerships with hiring managers to understand technical requirements and team dynamics - Negotiate job offers and close candidates - Analyze recruiting metrics and refine processes, using AI to turn data into faster, smarter hiring decisions - Stay ahead of industry trends, emerging AI recruiting tools, and best practices in technical recruiting What You Bring - 5+ years of full-cycle technical recruiting experience - Experience working at a high-growth startup - Proven track record of successfully placing top-tier technical talent - Hands-on experience using AI tools to enhance sourcing, screening, or candidate engagement - Fluency with varied Applicant Tracking Systems (Ashby preferred) - Strong analytical and data-driven decision-making skills - Proactive, flexible, with excellent communication and interpersonal skills - Ability to thrive in a fast-paced, rapidly changing environment
Software Engineer, Agent Platform
About the Team The Agent Platform team at OpenAI builds the production systems that bring useful AI agents to users around the world. We provide the platform that enables agents to execute code, use tools, and interact with software reliably and securely at scale. We work closely with product, research, and infrastructure teams to turn new agent capabilities into dependable product experiences. Our work spans the execution environments, APIs, and integrations that support agentic products such as Codex and tool use in ChatGPT. We focus on how agents run in production: making it easy to launch new capabilities, supporting growing demand, and improving the performance and reliability of the systems behind user experiences. Some of the hardest problems in making agents useful emerge when they meet real-world workloads. We build the platform that helps agents handle those workloads safely, recover when things go wrong, and deliver consistent results. About the Role As a Software Engineer on the Agent Platform team, you will build and scale the services that power agentic products at OpenAI. You’ll work closely with product engineers, researchers, and infrastructure engineers to bring new capabilities from early prototypes to production. Your work will include designing APIs and services, improving agent execution and orchestration, and building the integrations needed to support increasingly capable agents. You’ll help launch new experiences while strengthening the reliability, observability, and efficiency of the platform underneath them. We’re looking for engineers with experience building large-scale backend systems or infrastructure who enjoy working close to products and users. You should be comfortable moving quickly through ambiguous problems while making thoughtful decisions about security, performance, and long-term maintainability. 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: - Build and operate production services that enable agents to execute code, use tools, and interact with external systems. - Design APIs and platform abstractions that make it easier for product teams to build and launch agentic experiences. - Develop orchestration systems that manage agent execution, state, resource allocation, retries, and recovery. - Improve platform reliability, latency, and efficiency through performance optimization, observability, and capacity planning. - Partner with product, research, security, and infrastructure teams to bring new agent capabilities into production. - Own systems through their full lifecycle, from design and implementation to rollout, monitoring, and ongoing operation. You might thrive in this role if you: - Have experience building and operating large-scale backend services, distributed systems, or cloud infrastructure. - Enjoy building shared platforms and APIs that help other engineers move faster. - Can take an early prototype, turn it into a reliable service, and evolve it as usage grows. - Have a strong understanding of system performance, concurrency, failure modes, and resource management. - Care about how infrastructure decisions affect the user experience, including responsiveness, reliability, and predictable behavior. - Are comfortable working across service boundaries and collaborating with teams to solve problems from end to end. - Have experience with cloud platforms, containers, orchestration systems, or infrastructure-as-code tools such as Terraform. - Are interested in secure execution environments, sandboxing, and the challenges of running agent workloads in production. 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.
Director, EMEA Professional Services
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Role We are looking for a Director, EMEA Professional Services to build and lead our services and customer engineering motion across Europe, the Middle East, and Africa. This is a player-coach leadership role at the center of the EMEA go-to-market. You will shape how we engage EMEA customers after the sale and alongside it. You will help Sales position and sell both the subscription and, when it fits, services. You will own staffing and delivery for EMEA engagements. You will also coordinate the wider Customer Engineering team in region, including Enablement Engineers, Activation Specialists, and Account Managers. You will work closely with EMEA GTM leadership and stay aligned with global Professional Services leadership. EMEA should feel like one team with the rest of PS, with the local context it needs to win. Location: London preferred. Open to other EMEA locations with strong overlap with UK and European business hours. Some travel to customers and to our San Francisco and New York offices is expected. What You'll Do - Define EMEA Customer Engineering programs: Partner with EMEA GTM leadership to design and run programs for the region. This includes onboarding, activation, enablement, and services offerings. Adapt global programs to regional needs such as data residency, regulated industries, language, and partner ecosystems. - Support positioning and selling: Support the creation and evolution of standard pre sales assets to support the AEs with positioning Professional Services. Work with Account Executives and Solutions Engineers on deal strategy. Help position the subscription and the right post-sale path for each customer. Join executive conversations when needed. Scope and sell Professional Services when it is the right fit. Review SOWs, estimates, and pricing for EMEA deals. - Own resource management and delivery: Own staffing, capacity planning, and utilization for the EMEA PS team. Match engagements to the right people and practices. Make sure delivery follows PS methodology, including scoping, technical review, documentation, and customer handoff. Review key deliverables, surface risk early, and handle escalations. - Lead and grow the EMEA team: Hire, onboard, coach, and develop Architects, AI Engineers, and Engagement Managers in region. Set clear expectations and give direct feedback. Build a team culture with a high bar for quality and craft. - Coordinate across global Customer Engineering in a matrix model: Provide day-to-day coordination and supervision for EMEA Enablement Engineers, Activation Specialists, and Account Managers. Set shared priorities and make sure customers get a connected journey from activation to enablement to services to expansion. Work with their functional leaders on performance, growth, and standards. - Align with global PS leadership: Keep delivery standards, tooling, pricing, and reporting consistent across regions. Share what works in EMEA. Bring back playbooks, reusable assets, and process improvements from the global team. Contribute to the PS operating rhythm and roadmap. - Run the business: Own EMEA PS bookings, utilization, delivery margin, and customer outcomes. Report on pipeline, capacity, and risk to Customer Engineering and GTM leadership. - Stay close to customers: Remain active in key accounts. Act as the senior escalation point for strategic EMEA customers. Be a credible voice with technical and executive stakeholders. What You'll Bring - You have 10+ years of experience in professional services, solutions engineering, customer engineering, or consulting. At least 4 of those years were in leadership roles. - You have led a services or post-sales team in EMEA. You know the regional market and its regulatory landscape. - You have helped sell technical services alongside a software subscription. You can scope work, price it, and defend it with customers. - You have owned resource management and delivery. You understand utilization, capacity planning, and delivery quality. - You have led through influence in a matrix organization. You can set direction for people who do not report to you. - You are credible with engineers and executives. You can discuss agent architectures, cloud infrastructure, and enterprise AI adoption. - You have built programs from scratch in a fast-moving environment. You do not wait to be told what to do. - You communicate clearly and directly. You work well across time zones with a global team. You exemplify our operating principles - You are motivated to build something great. You hold a high bar for quality, craft, and impact. - You embrace hot takes. You share informed opinions, challenge the status quo, and engage in constructive debate. - You operate with maximum agency. You take ownership, move work forward independently, and help others unblock. - You run to the roar. You lean into hard problems, ambiguity, and fast-moving challenges. Nice to Have - Hands-on experience with AI/ML, LLM applications, or agent frameworks - Experience with SaaS subscriptions, usage-based pricing, and services attach - Experience working with SIs and cloud marketplaces in EMEA - Experience in a high-growth startup or open-source company - Fluency in one or more European languages in addition to English How Success Will Be Measured - EMEA customers have clear programs and a connected post-sale journey. - Services attach rate and bookings grow in the region, with healthy margins. - EMEA PS meets its utilization target over time, with exceptions understood and managed. - Delivery consistently follows PS standards, and material risks surface early. - Matrix partners in Enablement, Activation, and Account Management are aligned on EMEA priorities. - EMEA practices stay consistent with global PS and feed improvements back to it. Compensation and Benefits We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. 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.
Member of Technical Staff (Software Engineer, Trai...
Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses. We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more! A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration. Qualifications - 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. - Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes. - Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development. - BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. Why Perplexity is different - Craftsmanship . We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership . You identify the problem, design the solution and ship it. - Entrepreneurship . We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship . Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership . We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
Account Executive - Enterprise - Consumer Brands
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth across Consumer Brands: the household names that millions of people call, shop with, order from, and fly with every day. That means everyday retail, grocery, CPG, quick-service restaurants, travel, hospitality and airlines. These companies win or lose on customer experience at massive scale, and their customers increasingly expect to talk, not type. Our ideal candidate is passionate about the transformative possibilities of AI voice technology and eager to act as a strategic partner, helping Fortune 500 and large-scale consumer companies reimagine how they serve, sell to, and sound to their customers. In this role you will: - Build and manage a growing portfolio of new accounts across QSR, grocery and retail, CPG, and travel and airlines to help ElevenLabs meet its revenue goals - Identify opportunities where conversational AI can drive growth, automation, or cost efficiency in both customer facing and internal agentic workflows, such as customer care, qualification and bookings, helpdesk, learning and development, brand voice across marketing and localization and many more. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends like agentic commerce - Demonstrate expertise, or a strong willingness to learn, about how ElevenLabs' voice technology unlocks value across customer support, virtual agents, in-app assistants, and creative content - Develop and execute account strategies across the whole buying group (CX and Operations, Digital and Product, Marketing and Brand, Technology), landing with one high-impact use case and expanding across business units, brands, and markets - Partner closely with Forward Deployed Engineers to solution high impact use cases, manage a successful Proof of Value with end customers, and set up customers to scale successfully in production - Serve as a trusted advisor, educating clients on generative AI and voice, and help shape the Consumer Brands playbook: ICP, 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 - Experience selling to consumer-facing enterprises (QSR, grocery/retail, CPG, travel/hospitality/airlines) is a strong plus - Proven success closing seven-figure deals and managing complex, multi-stakeholder sales cycles - Experience selling to both technical buyers (product and engineering) and business buyers (CX, operations, marketing and brand), and translating complex technology into business value - Adept at deeply understanding a customer’s business and unique requirements for success, and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, with the ability to work autonomously and effectively as a cross functional partner - Strong executive presence, the ability to build relationships at the C-suite and board level, and willingness to travel frequently and proactively for onsite client visits and conferences - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and audio 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.
Software Engineer, ML Ops
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this team? Internal Infrastructure builds the infrastructure and tools used to train, evaluate, and serve Cohere's foundation models. You will work with AI researchers and ML engineers on stability, scalability, and observability. The work accelerates the models behind Cohere's platform, North. You will own the developer platform researchers use to write, build, and debug training code: dev environments, container images, CI, and training instrumentation. The role includes a compensated 24x7 on-call rotation. What you will do - Run secure developer environments that stay controlled and accelerate developer velocity as the research org scales. - Own container image build and CI/CD tooling. - Instrument training code and build self-service tooling so researchers can see why a run failed and debug it themselves. - Set infrastructure best practices through AI enablement, documentation, and office hours. - Troubleshoot production failures and performance problems, and leave the system easier to operate than you found it. - Build automation, infrastructure-as-code, and observability so the platform stays maintainable. We hire at more than one level. We set level based on the scope you've owned and how independently you drive work. You may be a good fit if you have - Run a developer platform in production: CI, image builds, dev environments, or internal tooling that many engineers depend on. - Made ML engineers or researchers faster without making the platform fragile. - Enough Linux and Kubernetes to debug production systems. Experience operating a GPU cluster is a plus. - Written software in Python or Go. You would rather extend a solid open-source project than rebuild it. - Worked with researchers, ML engineers, or another team whose goals were not identical to yours. - Found a bottleneck, proposed a fix, and driven it in a fast-moving environment. If this does not line up exactly with your experience, we still encourage you to apply. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Partner Account Manager - France
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. À propos du poste Ce poste de direction est essentiel : il consiste à construire et à faire passer à l’échelle les partenariats d’Anthropic avec les cabinets de conseil, les intégrateurs de systèmes mondiaux (GSI) et les boutiques partenaires nativement IA en France. Vous travaillerez en étroite collaboration avec l’équipe commerciale pour que les clients adoptent l’IA grâce à nos partenaires. Ce poste est un poste de construction, et non de gestion. Compte tenu du stade de développement d’Anthropic, nous recherchons un profil qui a déjà fait ses preuves en faisant passer des partenariats de zéro à des moteurs de revenus à grande échelle, un profil qui a bâti ces relations de A à Z, et non simplement hérité de relations existantes pour les gérer. Responsabilités - Partenariats et exécution - Vous collaborerez étroitement avec l’équipe commerciale pour comprendre comment les partenaires peuvent soutenir l’adoption de Claude par les clients. - Vous accompagnerez les partenaires dans la création de solutions clients reproductibles, répondant à des cas d’usage précis dans de nombreux secteurs : services financiers, santé, distribution, industrie, secteur public et services professionnels. - Performance et pilotage des indicateurs clés (KPI) - Vous portez la responsabilité des indicateurs clés de performance et vous les pilotez : revenus influencés par les partenaires, livraison réalisée par les partenaires, nombre de personnes consultantes formées et certifiées. - Chaque deal influencé par votre portefeuille de partenaires doit être conçu pour la réussite du client et la croissance de sa valeur à long terme. Vous définirez des critères de réussite pour les comptes communs, veillerez à la qualité de la mise en œuvre et de l’accompagnement à l’adoption, et mettrez en place des boucles de retour d’expérience favorisant l’amélioration continue. - Vous rendrez compte de la santé des partenariats, de leur avancement et de leurs résultats commerciaux, en vous appuyant sur des analyses fondées sur les données. - Développement du marché et construction de la marque - Vous renforcerez la notoriété de la marque Anthropic en France grâce à des relations stratégiques avec les partenaires. - Vous élaborerez et déploierez des stratégies de mise sur le marché (GTM) propres à chaque marché, adaptées aux pratiques commerciales et aux nuances culturelles locales. - Vous composerez avec les enjeux locaux de réglementation, de conformité et de souveraineté des données. - Vous créerez un avantage concurrentiel grâce aux capacités singulières des partenaires et à des propositions de valeur élaborées en commun. Votre profil Ce poste pourrait vous convenir si vous réunissez les atouts suivants : - Vous avez l’esprit d’initiative et le goût de construire : vous êtes à l’aise pour partir de zéro et créer des partenariats d’envergure. - Vous maîtrisez l’anglais et le français. - Vous comptez au moins 8 ans d’expérience dans les partenariats technologiques à destination des entreprises, idéalement dans le cloud, l’IA/ML ou les activités de plateforme. - Vous avez une culture de la donnée, tournée vers les résultats mesurables et l’atteinte des KPI, et un historique avéré de revenus additionnels générés grâce aux partenariats dans la région. - Vous avez démontré votre capacité à assurer la réussite des clients et la protection de la marque via les canaux partenaires. - Vous avez l’esprit de compétition : la victoire et la différenciation sont votre moteur. - Vous avez une approche collaborative et savez travailler de façon transversale avec les équipes commerciales, produit, marketing et régionales. - Vous nourrissez une vraie passion pour l’IA et vous vous reconnaissez dans la mission d’Anthropic : développer une IA bénéfique. Relations de travail Votre rattachement hiérarchique se fera auprès de la direction des partenariats internationaux, tandis que votre activité quotidienne sera pilotée par la personne responsable des partenariats EMEA Sud. Vous travaillerez également en étroite collaboration avec la direction commerciale régionale d’Anthropic et ses Account Executives, ainsi qu’avec les équipes Customer Success et Applied AI de la région. Lieu et déplacements Ce poste est basé à Paris, en France, avec des déplacements à prévoir pour rencontrer les partenaires et les clients. About the Role This is a critical leadership role responsible for building and scaling Anthropic's consulting, GSIs and AI-native boutique partners in France. You will be working closely with the sales team to make sure customers are adopting AI through our partners. This is a builder role, not a manager role. Given Anthropic's stage, we need someone who has proven they can take partnerships from zero to scaled revenue engines — someone who has built these relationships from the ground up, not just inherited and managed existing ones. Responsibilities: - Partnerships and execution: - You will engage closely with the sales team to understand how partners can support customer Claude adoption - You will guide partners in creating repeatable customer solutions that address specific use cases across industries including financial services, healthcare, retail, manufacturing, public sector, and professional services. - Performance and KPI ownership: - Own and drive key performance indicators, partner-influenced revenue, partner delivery, consultants trained and certified - Every deal influenced through your partner portfolio must be architected for customer success and long-term value expansion. You will establish success criteria for joint accounts, ensure proper implementation and adoption support, and create feedback loops that drive continuous improvement. - Report on partnership health, progress, and commercial outcomes with data-driven insights - Market Development & Brand Building - Amplify the Anthropic brand in France strategic partner relationships - Develop and execute market-specific GTM strategies adapted to local business practices and cultural nuances - Navigate local regulatory, compliance, and data sovereignty considerations - Create competitive differentiation through unique partner capabilities and joint value propositions You may be a good fit if you have: - Builder mentality — comfortable starting from zero and creating scaled partnerships Fluent in English and French - 8+ years of experience in enterprise technology partnerships, ideally within cloud, AI/ML, or platform businesses - Data-driven mindset with focus on measurable outcomes and KPI attainment. Track record of driving incremental revenues through partnerships in the region - History of delivering exceptional customer success and brand protection through partner channels - Competitive drive — obsessed with winning and creating differentiation - Collaborative approach with ability to work cross-functionally across sales, product, marketing, and regional teams - Passion for AI and alignment with Anthropic's mission of beneficial AI development Working Relationships You will formally report to the International Partnerships leader, while your day-to-day work will be led by our South EMEA Partnerships lead. You will also partner closely with Anthropic's regional sales leader and their Account Executives, as well as the in-region Customer Success and Applied AI teams. Location and Travel This role will be based in Paris, France with travel expected to engage with partners and customers externally. 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: €220.000 - €260.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Equity Accounting and Reporting
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 looking for an experienced accountant to own Equity Accounting and Reporting at Anthropic, based in San Francisco. You will be the one owner of equity accounting numbers across US GAAP, IFRS and local GAAP in every jurisdiction where we have employees holding equity: expense booking by entity, intercompany recharge booking, current and deferred tax on equity, and the equity footnote and local statutory disclosures, prepared once and reused. You will own equity reporting data from Shareworks, our equity administration platform, through to the ledgers, while staying hands-on: preparing and reviewing close materials, owning your own accounts, and serving as the first escalation point for the judgment calls in your domain. Share-based compensation (SBC) is one of the most cross-functional areas of our reporting. Grants, vesting, exercises and the events that follow each carry requirements for US GAAP, IFRS and local GAAP expense, pushdown and recharge postings, tax provisioning, payroll withholding, transfer pricing and statutory disclosure, and those needs are met across Equity Administration, Equity Reporting, Accounting, Treasury, Tax, Transfer Pricing and Global Payroll from a single set of award-level records. This is a build role: you will take the open workstreams from manual to automated, work with Finance Systems and Shareworks to build the reports each stage needs, finalize the policies and agreements that sit behind recharges, and bring the end-to-end process to a scalable, efficient and fully compliant close. We are looking for someone who has owned equity accounting in a growing global organization before and wants to do it again at one of the most important companies in the world. Key responsibilities Close ownership - Own the equity portfolio through month-end and quarter-end close: US GAAP, IFRS and local GAAP equity expense, pushed down and booked by entity, including reconciliations, journal entries and variance commentary - Own intercompany recharge booking: invoicing, settlement, Treasury communication and the foreign exchange (FX) that follows - Own current and deferred tax on equity by entity and in local currency, including the IFRS deferred tax mark to the share price and windfalls or shortfalls through the tax provision - Ensure every close deliverable is audit-ready, with clear documentation of positions and supporting evidence Technical accounting and policy - Write, own and maintain the accounting policies and standard operating procedures (SOPs) for equity across US GAAP, IFRS and local GAAP: grant-date fair value and expense schedules, recharge basis by entity, mobility apportionment, and the treatment of cancellations, modifications and one-off events - Partner closely with Tax to close every open policy position and execute the recharge agreements that depend on them - Research the tax and accounting rules for each new jurisdiction entered and categorize it under our framework before the first grant lands there - Own the equity footnote and local statutory disclosures for all entities, including the award rollforward for each period with internal transfers, and the external audit responses that support them Controls - Design and operate Sarbanes-Oxley (SOX) controls across equity expense, recharges and deferred tax; review control evidence and own timely remediation of any gaps - Establish completeness and cut-off controls so that the same award, the same entity, the same event dates and the same FX rate flow from Shareworks to every ledger, report and return Systems and automation - Anticipate changes in reporting needs and work with Finance Systems and Shareworks to build them: IFRS expense and deferred tax reports in local currency at Workday rates, mobility snapshots driving expense apportionment, corporate tax apportionment rules, and exercise and disclosure reports with mobility detail - Automate the monthly pushdown and recharge postings and the reconciliation of deferred tax to expense reports, replacing manual work - Document workflows and controls in a way that supports knowledge transfer, audit evidence and scale Cross-functional partnership - Partner with Equity Administration, Equity Reporting, Accounting, Treasury, Tax, Transfer Pricing and Global Payroll so each stage of an award is handled from every statutory and reporting perspective and every stakeholder has the data they need - Record in the local books (secondary ledgers) the local SBC expense and recharges that feed the cost base for transfer pricing - Translate complex equity accounting into plain language for non-finance stakeholders Equity events - Lead the cross-functional, cross-jurisdictional review of one-off equity events such as tender offers and share repurchases, covering the accounting, the deduction, payroll withholding, Treasury and the resulting disclosures - Coordinate with Tax and advisers on open conclusions, such as the apportionment logic for corporation tax versus payroll tax, so report configurations are right before they are built, manual rework is minimized and the data serves every purpose it is built for Minimum qualifications - Certified Public Accountant (CPA) or equivalent professional accounting qualification - Deep, hands-on experience with stock-based compensation under Accounting Standards Codification Topic 718 (ASC 718), IFRS 2 and local GAAP, including equity roll-forwards and reconciliation to an equity administration platform - Experience with the tax accounting for equity: current and deferred tax by entity, mobility apportionment, and windfalls and shortfalls through the provision - Experience owning a portfolio of accounts through close in a public company or pre-initial public offering (IPO) environment, including designing and operating SOX controls - Experience writing and maintaining accounting policies and SOPs, and being accountable for how they are applied - Ability to structure ambiguous problems, reach defensible conclusions and document them clearly - Clear written and verbal communication with non-accounting partners Preferred qualifications - Progressive accounting experience that combines Big 4 audit with time at a high-growth or startup company - A clear point of view on how artificial intelligence (AI) tools can eliminate low-value accounting work, and a track record of putting it into practice - A project management qualification or experience running cross-functional workstreams 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Data Center Facility Operations Lead
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 Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Facility Operations Lead within the Data Center Infrastructure organization, you will define and manage end-to-end operations across Anthropic’s growing fleet of data center infrastructure. You will be accountable for the global operations management of critical mechanical, electrical, plumbing, and control systems. As a subject matter expert in data center infrastructure and operations, you will develop scalable processes for execution, help manage data center partners & vendors, lead deployment schedules, and maintain close coordination with related disciplines such as design, engineering, and capacity planning. If you are experienced in operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities: - Define the Facility Operations strategy including SLAs, incident management, reporting methods, and approaches for reporting. - Oversee third-party deployment, commissioning, and ongoing maintenance of facility infrastructure such as switch gear, technology cooling systems, and computer room air handlers. - Define expectations and standards to enable third-party success in each of the critical operations domains. - Create standards for monitoring data center systems operation, minimizing risk, and effectively responding to/managing excursions and incidents. - Develop innovative approaches to improve time to market and equipment availability while minimizing cost and complexity. - Enable scale-out of operations through industry best practices optimization of bill of materials, logistics, and physical processes. - Manage partner relationships and maintain alignment with Anthropic goals. You may be a good fit if you: - Have 10+ years of experience in data center facility operations as a manager, engineer, technical lead or related role. - Can demonstrate a proven track record overseeing a portfolio of mission critical systems. - Are a subject matter expert in facility operations process development including deployment, commissioning, & maintenance. - Are experienced in third-party partner relationship management. - Bachelor's degree in relevant domain or equivalent practical experience. It's a bonus if you have: - 15+ years of experience managing operations for large scale data centers. - An understanding of AI/ML workloads, including power, cooling, and network connectivity - Experience supporting technology cooling solutions such as rear door heat exchangers and/or cooling distribution units, - Experience managing third-party datacenters such as colo operators and/or contract staffing vendors. - Familiarity with data center facilities commissioning processes including developing commissioning plans, creating criteria, and conducting hand-over reviews 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Business Recruiter, London
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 growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team in London to own full-cycle recruiting for either our G&A functions (Finance, Legal, People, and related areas) and our Go-To-Market organization (Sales, Marketing, Partnerships, and Customer-facing roles), depending on business need and your background. This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run. We’re open to candidates whose strength is in G&A recruiting or in GTM recruiting; in your application, tell us where your experience is deepest. Key Responsibilities - Own full-cycle recruiting for a portfolio of G&A or GTM roles across EMEA—from intake through offer and close - Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies - Source and engage high-quality active and passive candidates, building diverse and competitive pipelines - Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar - Manage candidates through the process with clear communication and a great experience at every stage - Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close - Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications - 4+ years of full-cycle recruiting experience in either G&A (Finance, Legal, People) or GTM (Sales, Marketing, Partnerships) hiring - Track record of closing strong candidates in competitive markets - Familiarity with the EMEA talent landscape and comfort recruiting across multiple countries - Strong stakeholder management—you build trust and partnership with hiring managers - Excellent organization and the ability to manage multiple searches at once without dropping details - Clear, direct communication style and a bias toward action - Comfort operating with ambiguity in a fast-moving environment - Genuine interest in Anthropic’s mission and the role recruiting plays in achieving it Preferred Qualifications - Experience recruiting at a high-growth technology, AI, or machine learning company - Experience recruiting across both G&A and GTM functions - Experience hiring across multiple EMEA markets, including the UK and Ireland - Familiarity with Greenhouse or similar ATS platforms - Additional European language skills relevant to hiring across the region 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. 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: £105,000 - £145,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Business Recruiter
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 growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team in London to own full-cycle recruiting for either our G&A functions (Finance, Legal, People, and related areas) and our Go-To-Market organization (Sales, Marketing, Partnerships, and Customer-facing roles), depending on business need and your background. This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run. We’re open to candidates whose strength is in G&A recruiting or in GTM recruiting; in your application, tell us where your experience is deepest. Key Responsibilities - Own full-cycle recruiting for a portfolio of G&A or GTM roles across EMEA—from intake through offer and close - Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies - Source and engage high-quality active and passive candidates, building diverse and competitive pipelines - Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar - Manage candidates through the process with clear communication and a great experience at every stage - Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close - Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications - 4+ years of full-cycle recruiting experience in either G&A (Finance, Legal, People) or GTM (Sales, Marketing, Partnerships) hiring - Track record of closing strong candidates in competitive markets - Familiarity with the EMEA talent landscape and comfort recruiting across multiple countries - Strong stakeholder management—you build trust and partnership with hiring managers - Excellent organization and the ability to manage multiple searches at once without dropping details - Clear, direct communication style and a bias toward action - Comfort operating with ambiguity in a fast-moving environment - Genuine interest in Anthropic’s mission and the role recruiting plays in achieving it Preferred Qualifications - Experience recruiting at a high-growth technology, AI, or machine learning company - Experience recruiting across both G&A and GTM functions - Experience hiring across multiple EMEA markets, including the UK and Ireland - Familiarity with Greenhouse or similar ATS platforms - Additional European language skills relevant to hiring across the region 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: €170.000 - €215.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
Performance Marketing Manager, Paid Search & AI Ad...
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role We're hiring an experienced Performance Marketer to own and scale paid search and emerging AI advertising channels at LangChain, starting with Google Ads, Bing (Microsoft Advertising), and ChatGPT . You'll own the entire paid acquisition experience, from developing channel strategy and building campaigns to optimizing landing pages, improving conversion rates, and driving qualified pipeline. This is a highly hands-on role. You'll be the person building campaigns, analyzing performance, testing creative, improving landing pages, and identifying new opportunities to scale. We're looking for someone who combines deep paid search expertise with a willingness to experiment with emerging advertising platforms. You should be comfortable managing significant budgets, making data-driven investment decisions, and connecting advertising performance to downstream pipeline rather than just clicks, leads, or conversions. What you'll own Paid acquisition strategy and pipeline - Own the strategy across Google Ads, Bing, and ChatGPT advertising, with the opportunity to expand into additional AI-native advertising channels. - Develop channel-specific strategies based on audience intent, available targeting capabilities, and expected pipeline contribution. - Own budget allocation, forecasting, and performance against pipeline targets. - Balance investment across branded, non-branded, competitor, and product-specific campaigns, along with emerging AI advertising opportunities. - Identify opportunities to scale high-performing campaigns and build repeatable playbooks for new channels. - Develop testing roadmaps across audiences, messaging, bidding, conversion experiences, and new advertising formats. End-to-end campaign execution You'll own campaign execution across all three channels: - Google Ads: Build, launch, and manage campaigns across branded, non-branded, competitor, and product search, including keyword research, match types, negative keywords, bidding, and budget optimization. - Bing / Microsoft Advertising: Develop and manage campaigns tailored to Microsoft's search audience, identifying opportunities to extend reach and capture incremental high-intent demand. - ChatGPT advertising: Develop and execute an early advertising strategy, testing available placements, audience approaches, messaging, and conversion experiences as the platform evolves. - Creative and messaging: Write and test ad copy in partnership with Product Marketing, adapting messaging to each channel and its user intent. - Experimentation: Run structured tests to improve acquisition efficiency, traffic quality, and pipeline conversion. - Campaign operations: Own campaign setup, tracking validation, launch readiness, troubleshooting, and day-to-day optimization. Paid conversion experience and website optimization - Own the website conversion experience for traffic acquired through Google, Bing, and ChatGPT. - Build and optimize dedicated landing pages for paid acquisition campaigns using Webflow or similar tools. - Develop and execute A/B tests across landing page messaging, layouts, CTAs, and forms. - Identify friction across the full user journey, from ad interaction to product sign-up, demo request, or meeting booking. - Optimize conversion paths for both developers exploring LangSmith and enterprise buyers evaluating commercial solutions. - Partner with Marketing Operations to improve form conversion, qualification, routing, and meeting booking. - Ensure landing page experiences reflect the user's intent and context across different advertising channels. Measurement, reporting, and optimization - Own performance reporting across spend, traffic, conversions, qualified leads, meetings, opportunities, and pipeline. - Develop channel-specific measurement frameworks for Google Ads, Bing, and ChatGPT based on their available reporting and conversion capabilities. - Partner with Marketing Operations to connect advertising conversion signals with HubSpot and Salesforce data. - Optimize established search channels toward downstream pipeline signals, including offline conversion tracking where supported. - Establish a testing and measurement approach for emerging channels where attribution and optimization capabilities may be less mature. - Analyze performance across channels, audiences, campaigns, and landing pages to identify where to invest, optimize, or reduce spend. Cross-functional partnership - Partner with Product Marketing to translate positioning into search campaigns, AI advertising messaging, and landing page experiences. - Work closely with Web and Design on landing page development and conversion experimentation. - Collaborate with Marketing Operations on tracking, attribution, CRM integrations, and reporting accuracy. - Align with Demand Generation on product launches, campaign priorities, budget allocation, and pipeline targets. What we're looking for - 5–11 years in performance marketing, paid search, or B2B growth marketing, ideally in developer tools, infrastructure, or technical SaaS. - Deep hands-on expertise in Google Ads and experience managing Microsoft Advertising. - Proven experience personally building, launching, and optimizing paid search campaigns. - Strong understanding of campaign architecture, keyword intent, bidding strategies, negative keywords, and search budget optimization. - Experience testing new advertising platforms or emerging acquisition channels. Curiosity about AI-native search and advertising is important. - Strong experience with conversion rate optimization, landing page development, and A/B testing. - Experience managing meaningful budgets and optimizing toward qualified pipeline and revenue outcomes. - Strong analytical skills and fluency in CPC, CVR, CPL, cost per opportunity, pipeline contribution, and attribution. - Working knowledge of Google Ads, Microsoft Advertising, GA4, Google Tag Manager, HubSpot, Salesforce, and Flint/Webflow. - Comfortable with technical products and developer audiences. - A strong experimentation mindset and willingness to build new programs without an established playbook. - Comfortable with ambiguity and true ownership. Compensation We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Salary Range: $165,000-$190,000 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.
Recruiting Coordinator [Contract]
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’re looking for a highly organized, detail-oriented Recruiting Coordinator who will take full ownership of our end-to-end interview coordination and play a critical role in keeping our recruiting engine running smoothly as we scale. This role is perfect for someone who thrives in fast-paced environments, is exceptionally proactive in communication, and takes pride in delivering an outstanding candidate experience while ensuring operational excellence behind the scenes. Key Responsibilities - Own end-to-end interview scheduling for all roles, including technical rounds and take-home assignments. - Serve as the primary candidate point of contact with clear, timely communication. - Lead onsite interview logistics, including room setup, interviewer prep, and candidate hosting. - Monitor communication from candidates and interviewers and act quickly to keep processes moving. - Maintain accurate ATS data, including status updates, tagging, documentation, and requisition cleanup. - Support compliance, data accuracy, and consistent record keeping. - Create and update process guides, checklists, and templates. - Partner with recruiters to streamline workflows and improve recruiting operations. - Assist with logistics, materials, and follow-ups for recruiting events. - Collaborate with hiring managers and interviewers to ensure alignment and readiness. - Support additional recruiting and people operations tasks as needed in a fast-paced environment. Preferred Attributes - Extreme ownership mindset — full responsibility for schedules, communications, and outcomes - High responsiveness and urgency — you act immediately on scheduling needs; deadlines are “now/asap” - Strong attention to detail - Clear, confident communicator who can coordinate across candidates, recruiters, and hiring teams - Comfort in fast-changing environments with multiple priorities in motion - Proactive problem-solver who anticipates issues before they occur Preferred Qualifications: - 2 years of experience with scheduling tools, calendar management, or ATS systems (Ashby preferred) - Experience supporting technical recruiting processes and familiarity with common technical interview formats (coding exercises, take-home challenges, technical screens, and system design rounds). 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.
People Partner, Engineering & Product
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’re looking for a seasoned People Partner to partner with our Engineering and Product organization. You’ll work with leaders at all levels across Infrastructure, Inference, Applied Research, Applied AI, Product Engineering, and Product Management. These are some of the most technically pioneering groups in the company, and you’ll spearhead many exciting problems alongside the team from a people lens. You won’t come in with a playbook or a pre-defined problem. You’ll identify what matters, shape a point of view from the roadmap and the people on the ground, and take ownership of making it happen. WHAT YOU’LL DO - Serve as an embedded, trusted advisor to Eng and Product leadership, with deep context on roadmaps, team structure, and where the org is stretched. Surface risks and opportunities early and challenge leaders candidly on the highest-leverage problems. - Partner with leaders and Recruiting to protect the talent bar, calibrating on role scope, leveling, and what “great” looks like across engineering, research, product, and design. - Work with senior leadership to shape how we develop and enable managers in this org, building the practical coaching, frameworks, and support that help first-time and newly hired managers lead well. - Shape performance and growth approaches that work for different roles and groups across technical teams, including clear leveling expectations, fair calibration, and career paths for both IC and management tracks. - Equip leaders to hire well, set clear expectations, give direct feedback, and navigate change (reorgs, team splits, role and level changes) with clarity and care. - Use headcount, performance, attrition, and engagement data to flag where talent density needs attention and to identify top talent and flight risks early, informing retention conversations. - Manage employee relations with sound judgment, recommending pragmatic, business-appropriate resolutions and knowing when to coach, act, or escalate, while reinforcing company-wide values. WHAT WE’RE LOOKING FOR - 5–8 years of progressive HR experience, with meaningful time as an HRBP or People Partner supporting engineering, product, or R&D organizations, ideally in a high-growth tech or AI environment - Genuine fluency in how technical orgs operate (team structures, IC vs. management paths, what motivates engineers, researchers, and PMs) and the ability to speak that language directly with leaders - Experience partnering with all levels of management, from VP+ leaders to first-time managers - Demonstrated experience coaching and developing managers directly and often. This is a high-touch part of the role - Strong judgment in employee relations: knowing when to coach, when to act, and when to escalate - A highly analytical, first-principles mindset: comfortable using data to diagnose root causes and building simple, scalable approaches over heavyweight process - Familiarity with compensation and leveling for technical talent, including equity and competitive market dynamics 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.
Immigration Specialist [Contract]
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’re looking for an Immigration Specialist to join our People team on a contract basis. As Fireworks grows quickly and hires globally, immigration is a critical part of how we bring great people in and keep them. You’ll own the day-to-day management of our immigration cases, from visas for new hires to permanent residency for existing employees, and be a trusted, knowledgeable point of contact for the employees going through the process. This is a fast-paced role for someone who enjoys keeping a high volume of cases moving at once, stays current on a changing immigration landscape, and knows when a situation needs to go to someone else. WHAT YOU’LL DO - Manage our full portfolio of immigration cases, including permanent resident applications and a range of visa cases (such as H-1B, O-1, L-1, and TN) for new hires and existing employees, partnering with outside counsel on filings and keeping each case on track in a fast-paced environment. - Assist in initiating work visa applications at a global level, with the majority of cases in the U.S. and additional cases in our global locations such as Singapore and UK. - Serve as the first point of contact for new hires and employees with immigration questions, guiding them through our policies and processes and advising on straightforward cases. - Use sound judgment to recognize exceptional or complex situations, and escalate them to the People Partner and business leaders with clear context and recommended options. - Work with People Operations to keep our immigration policies and employee-facing resources accurate, clear, and up to date. - Stay current on U.S. immigration law and policy changes, and flag developments that affect our employees or hiring plans. WHAT WE’RE LOOKING FOR - 2+ years of experience managing employment-based immigration cases, whether in-house or at a law firm or immigration services provider - Hands-on experience with common employment-based visa categories (H-1B, O-1, L-1, TN) and permanent residency processes (PERM, I-140, I-485) - Strong working knowledge of U.S. immigration law and a habit of staying on top of policy changes - Excellent organization and follow-through, with the ability to manage a high volume of cases and deadlines at once - Clear, empathetic communication. You can explain a complicated process simply to someone who is anxious about their status - Good judgment on when to advise directly and when to escalate - Experience partnering with outside immigration counsel and cross-functional teams to move cases through the process - Experience supporting immigration matters outside the U.S., particularly Singapore and the UK will be a plus. 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.
Employee Experience Partner
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’re looking for an Employee Experience Partner to create the moments that people at Fireworks remember and keep talking about years later. You’ll own recognition, employee swag, and employee-facing events. You’ll build the employee experience at a global level, defining what it means to be part of Fireworks when our team is spread across multiple locations. You’ll design experiences that express our culture, and drive initiatives that help people stay connected and aligned to it. You’ll come up with the idea, then plan it, source it, and run it. By working closely with People Operations, the workplace team, and leaders across the company, you’ll bring the “wow” moments and make Fireworks a great place to work. WHAT YOU’LL DO - Run our recognition program on our recognition platform, making the award experience seamless for employees and managers, and iterate on the program as we learn what works. - Own all employee-facing swag, including new hire kits, recruiting swag, recognition awards, anniversary gifts, and special event items. Come up with creative ideas and manage sourcing and vendors to bring in swag people love. - Plan and run employee events of all sizes, from local team celebrations to company-wide moments like our holiday party and anniversary celebrations, in close partnership with the workplace team. Pay special attention to engaging our remote and global employees as they join us and as they continue to work with us. - Build tools and resources that make it easy for leaders and managers to host great team-building events for their own teams. WHAT WE’RE LOOKING FOR - 5+ years of highly relevant experience in employee experience, culture, events, or people programs, ideally at a fast-growing startup - Proven experience driving initiatives that translate culture and values into tangible experiences - Strong execution: you’re comfortable doing the work yourself, from vendors and budgets to logistics and follow-through - Creativity with swag and gifting, including sourcing, vendors, and design - Comfort working with recognition or HR platforms, and iterating on a program as you learn - Excellent communication and collaboration skills across the workplace, People Ops, and leadership teams 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.
Data Center Energy Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure team is seeking a Data Center Energy Lead to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint. You'll work at the intersection of energy markets, utility operations, and AI infrastructure needs, leading multi-hundred megawatt procurement efforts and building strategic relationships with utilities, grid operators, and regulators across multiple jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating complex energy market dynamics and regulatory environments to achieve the speed and scale required for frontier AI development. Responsibilities: - Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure, structuring utility partnerships and commercial agreements that prioritize speed-to-energization and scale - Own utility and regulatory stakeholder management across multiple jurisdictions, building strategic relationships with ISOs, transmission operators, and utilities to accelerate interconnection timelines and unlock constrained capacity - Drive energy markets and policy strategy for AI compute facilities, monitoring regulatory developments and engaging policymakers to address grid capacity challenges and expedite approval processes for critical infrastructure - Partner with engineering and delivery teams to translate energy market dynamics and utility constraints into actionable capacity acceleration strategies that align procurement schedules with aggressive project timelines - Develop deep market intelligence on regional power availability, transmission constraints, and interconnection queue dynamics to inform site selection and deployment strategy - Structure innovative commercial frameworks and partnership models that enable faster power delivery and mitigate grid capacity risks across Anthropic's datacenter portfolio You may be a good fit if you: - Have 15+ years of experience in energy procurement, utility development, or power markets for large-scale infrastructure projects - Have deep expertise in wholesale power markets, utility interconnection processes, and transmission system planning - Have experience securing 100+ MW of power capacity and navigating complex utility service agreements or power purchase agreements or other offtake agreement structures - Are proficient in analyzing energy market dynamics, regulatory frameworks, and grid constraints to inform strategic decision-making - Have strong stakeholder management skills and experience building relationships with utilities, ISOs/RTOs, regulators, policymakers and critical equipment vendors. - Have excellent communication skills and can translate complex grid and regulatory dynamics into actionable business strategies for technical and non-technical audiences Strong candidates may also have some of the following: - Past experience with energy procurement specifically for datacenters, high-performance computing, or AI/ML infrastructure - Familiarity with hyperscale infrastructure requirements and the unique power demands of large-scale AI training and inference workloads - Experience with regulatory affairs, energy policy advocacy, or engagement with state/federal energy commissions (FERC, state PUCs) - Background in transmission planning, interconnection study processes, or grid capacity analysis - Understanding of emerging grid technologies (energy storage, demand response, distributed energy resources) and how they can accelerate capacity delivery - Track record of structuring creative solutions to overcome grid constraints and compressed timelines in competitive power markets The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Member of Data Staff (Data Acceleration)
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done . You'll build AI agents and internal systems that can increasingly handle end-to-end analysis workflows: forming hypotheses, writing and running queries, interpreting results, and drafting recommendations with the right evaluation, review, and guardrails. You'll build the retrieval infrastructure and evaluation loops that let AI systems query the warehouse reliably. You'll create workflows that detect, diagnose, and help fix data issues before they become company-wide problems. You'll build the infrastructure that multiplies what a small data team can ship. You'll join a data team that's already using AI across its work. The next step is turning those individual workflows into scalable systems, shared tools, and an AI-native operating model that becomes a benchmark for how modern data teams work. What You'll Do - Build AI agents that do data science - not just SQL copilots, but systems that can safely explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations with clear evaluation and human review loops. - Make AI systems query the warehouse reliably - build the retrieval infrastructure and evaluation loops that let agents use our semantic context and metadata accurately. - Accelerate the AI-native data workflow - turn the best existing AI-assisted workflows into repeatable systems, reusable tools, and patterns the whole data team can adopt. - Automate the data lifecycle - build self-healing pipelines, automated dbt model generation and validation, data quality agents, and diagnosis workflows that reduce manual firefighting. - Ship AI-powered experiment analysis - build agents that interpret A/B test results, flag statistical issues, identify likely drivers, and draft ship/no-ship recommendations. - Turn the data team into a product team - build internal data products that stakeholders use every day, replacing ad hoc requests with self-serve AI interfaces. - Own the full lifecycle - identify high-leverage problems, prototype with LLMs, evaluate accuracy, design the UX, ship to production, and monitor quality over time. What We're Looking For - 6+ years in data science, analytics engineering, data engineering, or a related role. You've been close enough to real data work to know what should and should not be automated. - Deep SQL and analytics judgment - you can reason through metrics, experiments, data models, and messy warehouse reality without relying on a tool to think for you. - Strong product sense - you understand what stakeholders actually need, what makes a workflow adoptable, and how to turn a prototype into a product people use. - Hands-on LLM experience - you've built with frontier models, agents, RAG systems, evals, or AI-powered workflows and have opinions about where they work and where they fail. - Pipeline and modeling fluency - you've worked with dbt, warehouse schemas, data quality issues, and the practical tradeoffs behind durable data systems. - Builder mentality - you see a manual process and immediately think about how to systematize it. You ship fast, measure quality, and iterate. - Autonomy - this is a new function. You'll help define the roadmap as much as execute it. Bonus - Experience building production AI agents or agent evaluation systems. - Experience with Snowflake, semantic layers, or metadata systems. - Experience building internal tools, Slack bots, CLIs, or developer productivity products that people actually used. - Strong experimentation background, including metric design and statistical interpretation. - Experience with BI tools and the judgment to know what should be automated versus kept human-reviewed. - Early-stage startup experience. Why This Role - Set the standard for the industry - Perplexity's data team is already using AI across its work. You'll turn that into something other data teams look to as the benchmark. - Build AI with AI - Perplexity builds AI for people who expect more. You'll bring that same level of ambition to how the company works with data. - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible. - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data. - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters.
Forward Deployed Engineer (FDE), Life Sciences - S...
About the team OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments. About the role We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence. This role is based in San Francisco. 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: - Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows. - Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints. - Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact. - Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling. - Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes. - Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments. You might thrive in this role if you: - Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged. - Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time. - Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout. - Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility. - Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Forward Deployed Engineer (FDE), Life Sciences - N...
About the Team OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments. About the Role We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence. This role is based in New York. 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: - Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows. - Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints. - Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact. - Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling. - Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes. - Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments. You might thrive in this role if you: - Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged. - Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time. - Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout. - Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility. - Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks. 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.
Software Engineer, ML Workload Platform
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this team? Internal Infrastructure builds the infrastructure and tools used to train, evaluate, and serve Cohere's foundation models. You will work with AI researchers and ML engineers on stability, scalability, and observability. The work accelerates the models behind Cohere's platform, North. You will build the platform that runs training, evaluation, and reinforcement-learning workloads: job lifecycle, scheduling, workload networking, and the storage those jobs depend on. The role includes a compensated 24x7 on-call rotation. What you will do - Own the platform that schedules and runs training, evaluation, and reinforcement-learning jobs on Kubernetes: who gets capacity, what happens when a job fails, and how a researcher finds out whether the platform caused it. - Build the networking and runtime isolation those workloads need, including agent and sandbox environments. - Work with the data infrastructure team on storage for checkpoints and other training artifacts. - Troubleshoot production failures and performance problems, and leave the system easier to operate than you found it. - Build automation, infrastructure-as-code, and observability so the platform stays maintainable. We hire at more than one level. We set level based on the scope you've owned and how independently you drive work. You may be a good fit if you have - Run a job platform, batch system, or Kubernetes controllers in production. Scheduling, queues, and multi-tenant fairness are central to this work. - Shown distributed systems judgment: retries, partial failure, and knowing what not to automate. - Worked on ML training workflows, RL sandboxes, container networking (CNI), or checkpoint storage at scale. Direct GPU-cluster experience is a plus. - Written software in Python or Go. You would rather extend a solid open-source project than rebuild it. - Worked with researchers, ML engineers, or another team whose goals were not identical to yours. - Found a bottleneck, proposed a fix, and driven it in a fast-moving environment. If this does not line up exactly with your experience, we still encourage you to apply. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.
Applied AI Delivery Lead - Remote in AMER
About the Role OpenAI’s largest and most strategic customers are turning AI ambition into deployments that change how their organizations work. As a Delivery Lead, you will own delivery of priority AI initiatives for these customers, leading complex, high-impact deployments from planning through launch and adoption. You’ll establish an integrated delivery plan, drive execution against launch commitments, resolve blockers, and lead progress toward measurable customer value. You’ll partner closely with account and technical teams, FDEs, customers, and delivery partners to turn customer priorities into successful deployments. You’ll bring a clear view of delivery progress, risks, and expected outcomes, helping teams make informed decisions and connecting successful execution to consumption and growth. This is a senior, customer-facing role for someone who can move between executive conversations and practical details that determine whether a deployment succeeds. You bring technical fluency, sound judgment, and the ability to create clarity and drive action in complex, evolving environments. What You’ll Do - Own delivery of priority AI initiatives. Lead complex customer engagements from scoping and planning through deployment, launch, and initial adoption. - Build and drive an integrated delivery plan. Establish clear scope, milestones, accountable owners, dependencies, resource needs, and success measures across customer, OpenAI, and partner teams. - Resolve blockers and drive decisions. Identify risks early, work through dependencies and resource constraints, and bring the right stakeholders together to resolve tradeoffs and keep delivery moving. - Lead launch readiness and activation. Drive rollout and enablement planning, address technical and organizational readiness gaps, and remove barriers to initial adoption and usage. - Connect delivery to customer value. Define expected outcomes and measurement approaches with customers and account teams. Track adoption and consumption, assess results against agreed baselines, and communicate the value achieved. - Provide a clear view of delivery health. Lead customer and internal delivery reviews that drive decisions and action. Communicate progress, launch confidence, risks, and implications for expected consumption and revenue timing. - Improve how we deliver. Turn customer experience into repeatable playbooks, practical tools, and actionable feedback for product and delivery teams. What We’re Looking For - 7+ years of experience leading complex enterprise technology deployments, customer delivery programs, or transformation initiatives involving multiple teams and partners. - A track record of driving programs from scope through launch and adoption, with accountability for delivery commitments and measurable customer outcomes. - Strong technical aptitude, with the ability to understand AI systems, APIs, integrations, enterprise architecture, security dependencies, and deployment risks. - The ability to translate customer priorities into actionable delivery plans with clear milestones, owners, dependencies, and success measures. - Strong judgment under ambiguity, including the ability to identify material risks, navigate competing priorities, and drive timely decisions. - Experience building trust with customers and leading across teams outside your reporting line while holding stakeholders accountable to shared commitments. - Excellent communication skills, with the ability to engage executives, technical specialists, and customer operators and explain complex delivery issues clearly. - Commercial awareness and an understanding of how deployment, adoption, and consumption contribute to customer value and growth. - A practical approach to building repeatable delivery methods while adapting to the needs of individual 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.
Applied AI Delivery Lead - NYC
About the Role OpenAI’s largest and most strategic customers are turning AI ambition into deployments that change how their organizations work. As a Delivery Lead, you will own delivery of priority AI initiatives for these customers, leading complex, high-impact deployments from planning through launch and adoption. You’ll establish an integrated delivery plan, drive execution against launch commitments, resolve blockers, and lead progress toward measurable customer value. You’ll partner closely with account and technical teams, FDEs, customers, and delivery partners to turn customer priorities into successful deployments. You’ll bring a clear view of delivery progress, risks, and expected outcomes, helping teams make informed decisions and connecting successful execution to consumption and growth. This is a senior, customer-facing role for someone who can move between executive conversations and practical details that determine whether a deployment succeeds. You bring technical fluency, sound judgment, and the ability to create clarity and drive action in complex, evolving environments. What You’ll Do - Own delivery of priority AI initiatives. Lead complex customer engagements from scoping and planning through deployment, launch, and initial adoption. - Build and drive an integrated delivery plan. Establish clear scope, milestones, accountable owners, dependencies, resource needs, and success measures across customer, OpenAI, and partner teams. - Resolve blockers and drive decisions. Identify risks early, work through dependencies and resource constraints, and bring the right stakeholders together to resolve tradeoffs and keep delivery moving. - Lead launch readiness and activation. Drive rollout and enablement planning, address technical and organizational readiness gaps, and remove barriers to initial adoption and usage. - Connect delivery to customer value. Define expected outcomes and measurement approaches with customers and account teams. Track adoption and consumption, assess results against agreed baselines, and communicate the value achieved. - Provide a clear view of delivery health. Lead customer and internal delivery reviews that drive decisions and action. Communicate progress, launch confidence, risks, and implications for expected consumption and revenue timing. - Improve how we deliver. Turn customer experience into repeatable playbooks, practical tools, and actionable feedback for product and delivery teams. What We’re Looking For - 7+ years of experience leading complex enterprise technology deployments, customer delivery programs, or transformation initiatives involving multiple teams and partners. - A track record of driving programs from scope through launch and adoption, with accountability for delivery commitments and measurable customer outcomes. - Strong technical aptitude, with the ability to understand AI systems, APIs, integrations, enterprise architecture, security dependencies, and deployment risks. - The ability to translate customer priorities into actionable delivery plans with clear milestones, owners, dependencies, and success measures. - Strong judgment under ambiguity, including the ability to identify material risks, navigate competing priorities, and drive timely decisions. - Experience building trust with customers and leading across teams outside your reporting line while holding stakeholders accountable to shared commitments. - Excellent communication skills, with the ability to engage executives, technical specialists, and customer operators and explain complex delivery issues clearly. - Commercial awareness and an understanding of how deployment, adoption, and consumption contribute to customer value and growth. - A practical approach to building repeatable delivery methods while adapting to the needs of individual 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.
Applied Science - Robotics
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. About The Job Mistral AI is seeking Applied Scientists and Research Engineers focused on robotics. You will design, train, and deploy SOTA robotics models (VLM, VLA models for navigation and manipulation) and apply them to diverse use cases. You'll work cross-functionally with internal and external science, engineering, and product teams to deliver high-impact AI solutions. What you will do - Run pre-training, post-training and deploy state of the art models on large clusters. - Generate and curate datasets (image-text, video-text), and build evaluators/benchmarks for perception, navigation and manipulation tasks. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases. - Manage research projects and communications with client research teams. About you - Fluent in English with excellent communication skills. - Expert with PyTorch or JAX. - Experience with Vision Language Models (VLM), Vision-Language-Action (VLA) models, perception, navigation and manipulation, simulation tools (e.g. Isaac SIM). - Clean, readable, high-performance Python code. - Doesn't need roadmaps. Ships. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. Nice to have - PhD / Master in a relevant field (Robotics, Machine Learning). - Research experience in robotics navigation, perception, manipulation. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. 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 .
Data Scientist, Analytics Enablement
About the team The Strategic Finance Data Science team helps OpenAI understand business performance and make informed decisions about growth, revenue, and resource allocation. We partner with Strategic Finance, Data Engineering, and business teams to build trusted metrics, explain what is changing, and support forecasting, planning, pricing, and investment decisions. About the role We’re looking for a Data Scientist, Analytics Enablement to turn complex financial and business questions into reliable data products, clear analyses, and actionable recommendations. You will work across the analytical workflow: define the question, establish trustworthy metrics and datasets, investigate the drivers, and help partners act on the findings. This is a hands-on individual contributor role. You will combine the technical depth of analytics engineering with strong analytical judgment and close partnership with Strategic Finance. Your work will serve both executive reviews and the teams making day-to-day business decisions. In this role, you will - Define and maintain trusted metrics and analytical datasets for revenue, usage, customer performance, compute consumption, and margin, with clear definitions and appropriate product, customer, and cohort detail. - Build automated dashboards and recurring reporting that help Finance leaders and operating teams understand performance, spot changes, and prioritize investigation. - Explain movements in business results and variances against expectations by examining underlying drivers, validating data quality, and distinguishing evidence from assumptions. - Translate ambiguous questions about growth, retention, monetization, pricing, and resource efficiency into structured analyses and practical recommendations. - Partner with forecasting specialists and Finance to provide reliable inputs, driver analyses, and scenario assumptions for forecasts and long-range plans. - Work with Data Engineering to improve the quality and usability of underlying data, and develop reusable analytical models and workflows that reduce manual effort. - Communicate findings clearly, align stakeholders on trade-offs, and follow through to understand whether the analysis or data product improved the decision. You might thrive in this role if you - Have strong SQL and analytical data-modeling skills, and experience turning large, complex datasets into reliable analyses and reusable data products. - Can reason carefully about metrics, cohorts, denominators, measurement changes, and uncertainty, and investigate whether an unexpected result reflects the business or the data. - Have built dashboards or recurring reporting used by business partners, and can explain the decisions they enabled. - Bring sound business judgment and can independently scope an ambiguous problem, prioritize the work, and deliver an end-to-end solution. - Communicate technical findings clearly and work effectively with Finance, data scientists, engineers, and other business partners. - Can use Python or a comparable analytical tool to investigate data and automate repetitive work. 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.
Counsel, AI Safety & Cyber Incident Response
About the Team OpenAI’s Legal team helps address the cutting-edge legal questions that arise from developing and deploying advanced AI. The Security and Public Sector Legal team helps protect OpenAI’s technology, systems, data, and people and supports the safe and responsible use of our tools. We work closely with technical and operational teams to provide practical advice on novel, consequential, and fast-moving issues. About the Role We are seeking a counsel to help lead legal responses to cybersecurity and AI safety incidents. This is an opportunity to bring deep incident response expertise to some of the hardest questions in AI, and help build the legal frameworks and practices for answering them. You will advise on complex cybersecurity incidents, from discovery through to resolution, and also help develop our response to incidents involving the safety of our models and tools. AI safety incident response is a new and rapidly evolving legal practice area. Your work will help define how frontier AI companies investigate and respond to safety events such as unexpected model behavior, degradation of safeguards, harmful uses of our services, and potential harm to third parties—often where established legal standards do not yet exist. Working directly with Security, Safety, Product, Engineering, and colleagues across Legal, you will advise on consequential decisions where established approaches may offer little guidance. We are looking for a practical, dynamic lawyer who can turn incomplete information into clear recommendations, exercise sound judgment on novel questions, and follow matters through to resolution. You will help establish the facts, assess risks, and guide investigations, communications, remediation, and reporting. You will also turn lessons from individual incidents into durable response processes, helping further develop a legal function that evolves alongside the technology. This role is based in Washington, D.C. or 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 be: - Serving as legal lead on assigned cybersecurity and AI safety incidents, coordinating fact development, legal analysis and advising, cross-functional escalation, and follow-through with the response team. - Working with investigators to understand incident scope, attack paths, root cause, and affected systems and data, and potential third-party impacts, while helping teams distinguish established facts from gaps in the evidence. - Managing outside counsel and third party service provider engagements necessary to incident response. - Serving as key Legal point of contact for cross-functional teams. - Partnering with Privacy, Product, Regulatory, and other counsel to assess notification and reporting obligations, advise on timely customer and user communications, and coordinate third-party outreach and incident-related information sharing with industry peers and government partners. - Preparing concise incident updates and decision materials that distinguish established facts, uncertainties, options, and recommended next steps. - Developing severity-based escalation criteria, response playbooks, exercises, and clear decision and handoff processes for cybersecurity and AI safety incidents, adapting established practices to emerging model risks. - Supporting post-incident reviews, tracking agreed corrective actions, and turning lessons into practical improvements to safeguards and response processes. You might thrive in this role if you have: - A JD and a license or qualification to practice law in your jurisdiction. - 5+ years of relevant experience. - Relevant legal experience managing cybersecurity or privacy incident responses or comparable complex technology investigations at a technology company, law firm, or government agency, including work with technical teams, other counsel, and communications partners. - The ability to translate technical findings into practical legal advice, with a working understanding of technical information. - Sound judgment under time pressure, clear communication of uncertainty, and an understanding of when to act, seek specialist advice, or escalate. - Clear, concise writing and the ability to keep cross-functional teams aligned through changing facts and competing priorities. - Ownership of details and follow-through, paired with collaborative work with colleagues who bring different expertise. - A strong interest in the novel challenges of AI safety and a willingness to help develop new approaches. Direct AI incident experience is helpful; strong transferable incident response skills are welcome. - Availability to participate in time-sensitive incident response, including occasional work outside normal business hours. 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.
Engineering Manager (Agent Engine)
Perplexity is seeking an Engineering Manager to lead and grow our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer , the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users. As the engineering manager supporting the Agent Engine team, you'll bring AI expertise, sharp product intuition, and strong leadership and collaboration skills to advance the frontier of what agents can accomplish for our millions of devoted users. You'll lead, grow, and support a team in solving many open problems in AI, including: - Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users; - Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. Responsibilities - Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI systems and related technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry. Qualifications - Strong foundational familiarity with the AI systems stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Domain knowledge in at least one of the following areas: - Harness engineering - Agent Skills and plugin architectures - Model training and reinforcement learning - Browser technologies (CDP, Playwright, extension development, etc.) - Strong technical intuition and taste for user experience excellence. - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent. - 8+ years of engineering experience, with at least 3 of those years as an engineering manager.
ML Silicon Performance Lead
About the Team: OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role: We’re looking for an ML Silicon Performance Lead to drive hardware/software co-design for our silicon architecture. You will work across models, kernels, compilers, and silicon to shape how ML workloads map to hardware—and how the hardware should evolve to support them. Your work will connect model and workload requirements with compute, memory, and specialized acceleration capabilities to maximize performance, efficiency, and scalability across current and future generations of AI silicon. You’ll partner closely with ML research, compiler, and silicon architecture teams to jointly develop software approaches and hardware capabilities. From kernel mapping and quantization to new data structures and specialized IP, you’ll evaluate hardware and software tradeoffs to improve performance, efficiency, and utilization across large-scale AI workloads. Through performance modeling, simulation, and hands-on optimization, you’ll guide architectural decisions and validate improvements on representative workloads. In this role, you will: - Drive hardware/software co-design across ML research, compiler, and silicon teams, jointly shaping kernel implementations and hardware capabilities to meet workload performance and efficiency goals. - Partner with ML research to translate model and workload needs into kernel performance targets and compute, memory capacity, and bandwidth requirements, feeding hardware constraints and opportunities back into model and algorithm choices. - Map and optimize ML kernels for architecture, using insights from data movement, memory hierarchy, and execution efficiency to guide both software improvements and hardware design. - Co-design support for new data structures and quantization formats across kernels, compilers, and silicon, balancing model quality, numerical behavior, performance, power, and implementation cost. - Define and help develop specialized acceleration IP, working with compiler and silicon partners to determine the right division of functionality across software, instructions, and dedicated hardware. - Drive ML performance modeling and simulation with the compiler team to compare hardware/software design options, expose bottlenecks, and quantify end-to-end benefits on representative workloads. - Partner with the Silicon Architecture lead and silicon team to specify and validate new IP, using kernel and simulation results to refine requirements and prioritize architectural improvements. You might thrive in this role if you: - Have deep experience with ML accelerator architecture and how compute resources, memory systems, and data movement shape workload performance. - Can translate model-level behavior into concrete kernel requirements and hardware design decisions. - Have built or used accelerator performance models and simulators, and know how to validate their assumptions and interpret their limitations. - Have hands-on experience optimizing ML kernels, including identifying bottlenecks and improving utilization, locality, and execution efficiency. - Understand quantization and numerical formats, including their implications for model quality, memory bandwidth, compute efficiency, and hardware support. - Have experience with hardware/software co-design and can reason about whether a capability belongs in a kernel, compiler, instruction set, or dedicated hardware. - Work effectively across research, compiler, and silicon teams, bringing clarity to ambiguous requirements and building alignment through technical evidence. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Cyber AI Partner Director
About the Role You’ll help shape how OpenAI cybersecurity partners bring frontier AI to defenders across the Americas. Working with partner executives and security practitioners, you’ll turn customer needs into joint opportunities, successful deployments, and repeatable offerings. This role combines executive partnership leadership with direct responsibility for growing the business in a rapidly developing market. This is a hands-on partner sales role spanning global system integrators (GSIs), managed security service providers (MSSPs), hyperscalers, security independent software vendors (ISVs), and value-added resellers (VARs). You’ll develop partner capabilities for your assigned territory or portfolio and work alongside partner sellers and OpenAI account teams to sell joint solutions and expand customer adoption. In this role, you will: - Own commercial results. Grow revenue through partner relationships. Build qualified pipeline, progress opportunities, and support sustained customer use and expansion. Maintain accurate opportunity records and a disciplined forecast. - Build partner plans and practices. Work with partner executives and technical teams to turn customer demand into joint business plans and commercially viable cybersecurity offerings. Help partners establish the service economics, practitioner capacity, and delivery quality needed to build a repeatable business. - Lead joint customer sales. Work with partner sellers and OpenAI account teams from discovery and customer business cases through evaluation, procurement, and close. Coordinate co-sell, marketplace, and channel activity, address buying and delivery barriers, and help customers move into deployment. - Develop partner champions. Build trusted relationships with executive sponsors, security practice leaders, technical champions, and field sellers. Equip them to explain the customer value, identify opportunities, and sell and deliver supported AI-enabled security solutions. - Turn cyber and AI use cases into credible offers. Explore how AI can support customer needs in areas such as vulnerability assessment, application security, and remediation. Work with specialists to validate capabilities, security outcomes, and delivery readiness before making commitments. - Improve execution with evidence. Use what you learn from customer evaluations and deployments to improve offerings. Bring recurring needs and practical lessons to OpenAI’s product, technical, and go-to-market teams. You’ll own the partner business plan and commercial execution for your assigned territory or portfolio, working closely with OpenAI account teams, alliance leaders, and technical specialists. Together, you’ll develop customer opportunities, establish realistic delivery plans, and help partners support successful adoption. You might thrive in this role if you have: - A record of delivering revenue through enterprise partner sales, alliances, or business development in cybersecurity, cloud, or AI, including personally progressing complex customer opportunities. - Strong partner business acumen and experience building repeatable offerings. You understand how services firms, managed security providers, cloud providers, security software companies, and resellers invest, make money, and mobilize their sellers and practitioners. - Credibility with enterprise security buyers and practitioners. You can explain how AI capabilities fit into security workflows, recognize the importance of tools, context, and permissions, and involve technical specialists to validate customer commitments. - Experience helping enterprise customers adopt a new product while its market was still forming. - The ability to earn trust with partner executives and champions while working effectively with account teams, alliance leaders, technical teams, Product, and Marketing. - Strong account planning, opportunity management, and forecasting skills, with the judgment and persistence to build a business in a developing market. - Deeper familiarity with how a model and its harness work together, including how the surrounding software supplies tools and context and enforces permissions. What success looks like: - Revenue growth supported by qualified pipeline, healthy conversion, and accurate forecasting. - Active partner champions and commercially viable practices and offerings that generate repeatable customer opportunities. - Customer deployments that progress to sustained use, expansion, and demonstrable security outcomes. 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.
AI Deployment Manager (Korean-Speaking)
About the Team The AI Deployment team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The AI Deployment Manager is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI’s products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes related to activation and sustained usage by shaping how enablement drives measurable customer impact. This role is based in San Francisco. 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 enablement of OpenAI products, including ChatGPT Enterprise and Agents, helping define effective enablement patterns that support adoption across business and technical teams within enterprise organizations. - Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. - Lead customer enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption. - Design and deliver high-impact engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams. - Drive customer activation, sustained usage, and measurable business value through structured enablement programs designed for durable, organization-wide adoption. - Partner closely with Sales, Solution Architects, and Delivery Leads to drive adoption across our core product suite. - Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions. - Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements. You might thrive in this role if you: - Speak fluent business-level Korean, as you will be engaging with Korean-speaking customers - Have 6+ years of experience in customer facing, enablement, or instructional roles, engaging C-level, business, and technical audiences in complex enterprise environments. - Possess exceptional presentation and communication skills, particularly when translating AI capabilities into clear, practical value for senior and executive level audiences. - Have strong product fluency across ChatGPT, Agents, and the broader OpenAI ecosystem, with a practical understanding of how AI capabilities can be applied to real world workflows and enterprise use cases. - Have experience leading workshops and enablement programs, with the ability to design learning journeys, facilitate live sessions, and respond to questions in real time. - Can identify patterns across customers and translate them into scalable approaches that improve adoption across the broader customer base. - Can connect product capabilities to concrete business outcomes such as productivity gains, operational efficiency, cost reduction, risk mitigation, or revenue impact. - Are comfortable thinking on your feet in live customer environments, adapting quickly to new information, shifting priorities, and real time questions while maintaining clarity, ownership, and momentum. - Bring a humble attitude, an eagerness to help others succeed, and a strong curiosity to continuously learn and deepen your understanding of emerging AI capabilities. - Are personally committed to fostering the safe and responsible evolution of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
AI Deployment Manager (Japanese-Speaking)
About the Team The AI Deployment team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The AI Deployment Manager is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI’s products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes related to activation and sustained usage by shaping how enablement drives measurable customer impact. This role is based in San Francisco. 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 enablement of OpenAI products, including ChatGPT Enterprise and Agents, helping define effective enablement patterns that support adoption across business and technical teams within enterprise organizations. - Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. - Lead customer enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption. - Design and deliver high-impact engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams. - Drive customer activation, sustained usage, and measurable business value through structured enablement programs designed for durable, organization-wide adoption. - Partner closely with Sales, Solution Architects, and Delivery Leads to drive adoption across our core product suite. - Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions. - Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements. You might thrive in this role if you: - Speak fluent business-level Japanese, as you will be engaging with Japanese-speaking customers - Have 6+ years of experience in customer facing, enablement, or instructional roles, engaging C-level, business, and technical audiences in complex enterprise environments. - Possess exceptional presentation and communication skills, particularly when translating AI capabilities into clear, practical value for senior and executive level audiences. - Have strong product fluency across ChatGPT, Agents, and the broader OpenAI ecosystem, with a practical understanding of how AI capabilities can be applied to real world workflows and enterprise use cases. - Have experience leading workshops and enablement programs, with the ability to design learning journeys, facilitate live sessions, and respond to questions in real time. - Can identify patterns across customers and translate them into scalable approaches that improve adoption across the broader customer base. - Can connect product capabilities to concrete business outcomes such as productivity gains, operational efficiency, cost reduction, risk mitigation, or revenue impact. - Are comfortable thinking on your feet in live customer environments, adapting quickly to new information, shifting priorities, and real time questions while maintaining clarity, ownership, and momentum. - Bring a humble attitude, an eagerness to help others succeed, and a strong curiosity to continuously learn and deepen your understanding of emerging AI capabilities. - Are personally committed to fostering the safe and responsible evolution of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Applied AI Engineer
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role 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.
Marketing Lead, Claude Frontier Academy
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 Claude Frontier Academy is where organizations nominate their strongest people to build deep, hands-on skills with Claude. Backed by a $100 million commitment, Anthropic aims to train 10,000 Frontier Deployed Engineers by the end of 2027. The Academy’s first program, the Frontier Deployed Engineer (FDE) Residency, brings engineers from leading customers and partners together in cohorts, and more programs will follow. We’re looking for a Marketing Lead to make the Academy a name the market knows and a credential people are proud to earn. As the Academy’s first dedicated marketer, you’ll own how it shows up in the world. You’re a creative, versatile marketer who thinks in terms of brand and communications and also knows how to position, launch, and grow programs. You’ll turn each program launch into a major market moment, celebrate milestones like new cohorts and the first badges earned, and build a community of graduates who help tell the story. Because the Academy serves both partners and customers, this role will sit on our Partner Marketing team. You’ll work directly with partners and customers to secure their participation in announcements and bring them into our launch and amplification plans. You’ll help shape the Academy’s strategy and annual plan and represent marketing with senior leaders, while staying hands-on enough to write the first draft yourself. Partners and customers already engage with other Anthropic education and training programs, so you’ll be thoughtful about how the Academy fits alongside them. If you’ve built a branded program at a B2B technology company and want to do it again at a much bigger scale, this role is for you. Key responsibilities - Own the marketing strategy and annual plan for Claude Frontier Academy and its programs, working with Academy leadership to set priorities and goals - Build and maintain a calendar of market moments for the Academy and each program, including program launches, new cohorts, and badge milestones - Lead launches end to end, from messaging and announcement drafts through legal and executive review, launch-day execution and post-launch amplification - Partner with Communications on press releases and announcements, including sourcing customer and partner quotes and securing approval to use their names - Align early with Partnerships, Communications, and Account Teams on which customers and partners are named in each announcement, who gets a heads-up before it goes live, and how to answer those who aren’t named - Develop amplification plans with partners and customers across social posts, blogs, newsletters, and their own announcements, and turn cohort results into joint customer and partner stories - Grow the Academy’s presence on LinkedIn and other social channels with content that showcases programs, cohorts, and graduates - Own the Academy’s web presence and any paid promotion, working with our web team and with creative and agency partners - Build a community program that keeps cohort members and badge holders connected and turns them into advocates for the Academy - Work with Brand to extend the Academy’s naming and brand architecture as new programs launch, keeping it consistent with, and clearly distinct from, Anthropic’s other education and training offerings - Learn Anthropic’s other education and training programs, such as Claude Academy, Claude certifications, and Partner Basecamp, and work with their teams to define where Claude Frontier Academy fits, where the programs connect, and how they reference each other, so partners and customers see one clear path - Equip Account Teams and Partner Account Managers with FAQs, internal announcements, and guidance so they can answer questions, help customers and partners register their interest, and set clear expectations on participation - Keep senior stakeholders aligned through regular status updates and clear recommendations, and define and report on success metrics for Academy marketing Minimum qualifications - Have built and run branded B2B marketing programs at a software/SaaS technology company, such as customer education, certification, community, or user conference programs - Have marketed education, training, or certification programs at a technology company, such as a partner, customer, or developer academy - Bring a creative, brand-minded approach and know how to create market moments that get noticed - Have led major launches or announcements, coordinating press, social, and partner amplification, and keeping everyone aligned through legal review, executive edits, and date changes - Know how to build an audience and spark conversation on LinkedIn and other social channels with B2B audiences - Have strong executive presence and are comfortable giving updates and making recommendations to senior leaders - Can operate at both strategic and tactical levels, comfortable owning an annual plan and rolling up your sleeves to ship - Build trusted relationships with partners, customers, and cross-functional teams, and can drive approvals and commitments without formal authority - Are an excellent writer who can move easily between press releases, FAQs, and social posts - Are energized by ambiguity and by building something new as a first-in-seat marketer - Passionate about AI diffusion and bringing the benefits of AI to people and the world Preferred qualifications - 8+ years of B2B software marketing experience spanning brand, communications, or program marketing - Experience building community or advocacy programs where members promote the program themselves - Experience marketing to technical audiences, particularly engineers and developers - Experience running joint announcements with global system integrators, consulting firms, or enterprise customers - Experience marketing to enterprise technology leaders, such as CIOs and CTOs - Experience marketing AI/ML products Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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: $320,000 - $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Forward Deployed Engineer (FDE), Financial Service...
About the team OpenAI’s Forward Deployed Engineering team partners with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into reliable, auditable systems that create measurable business impact. Our work turns early deployments into repeatable solution patterns, operating standards, and evaluation practices that scale across regulated financial institutions. About the role We are hiring a Forward Deployed Engineer (FDE) to lead end-to-end deployments of OpenAI’s models inside financial services organizations where correctness, latency, explainability, and control matter. You will work with customers who are experts in investment banking, trading, risk, compliance, underwriting, research, operations, or investment decision-making, translating complex workflows, data constraints, and regulatory requirements into production systems. You will measure success through production adoption, workflow efficiency, risk reduction, revenue impact, and evaluation-driven feedback loops that inform product, model, and GTM strategy. You’ll work closely with Product, Research, GTM, Security, Legal, and GRC to deliver systems that meet enterprise standards for governance, auditability, and operational resilience. You will also play a central role in shaping OpenAI’s Financial Services offering — identifying high-value use cases, defining solution patterns, and building the first repeatable deployments that scale across institutions. Learn more about some of our work with financial institutions . This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% may be required. In this role, you will: - Design and ship production AI systems around models, owning integrations, data flows, reliability, observability, and on-call readiness across financial workflows. - Lead discovery and scoping from pre-sales through post-production, translating ambiguous business problems into hypothesis-driven problem framing, system requirements, and delivery plans with measurable outcomes. - Define and enforce launch criteria for regulated financial environments, including controls, audit artifacts, evaluation benchmarks, and acceptance thresholds tied to risk and performance. - Build in sensitive data environments where access controls, data lineage, explainability, and failure modes shape architecture and operating procedures. - Run evaluation loops that measure model and system quality against workflow-specific financial benchmarks (e.g., accuracy, latency, coverage, false positives) and use results to drive iteration. - Own delivery state across multiple workstreams, making trade-offs between scope, speed, and quality to protect production outcomes. - Distill deployment learnings into hardened primitives, reference architectures, playbooks, and tooling that scale across financial institutions. - Surface field feedback that informs model behavior, product capabilities, and platform gaps in real-world financial use cases. You might thrive in this role if you: - Bring 5+ years of software engineering, ML engineering, or technical deployment experience with customer-facing ownership in financial services or adjacent regulated industries. - Have owned complex AI or data-driven systems end-to-end, from scoping through production adoption, in environments where errors carry real financial or regulatory consequences. - Have experience with financial workflows such as research, trading, risk, compliance, underwriting, operations, or investment processes, and understand how incentives and controls shape adoption. - Write and review production-grade code across backend and frontend systems using Python, JavaScript, or comparable stacks. - Have deployed systems powered by LLMs or generative models and understand how model behavior, evaluation, and guardrails affect user trust and business outcomes. - Communicate clearly across engineering, product, risk, compliance, and executive stakeholders, translating technical trade-offs into decision quality and risk posture. - Apply systems thinking with high execution standards, turning incidents, escalations, and failures into improved operating standards and repeatable deployment patterns. - Stay calm and decisive when delivery is urgent, ambiguous, and high-stakes. 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.
Third-Party Risk Management Analyst
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're looking for a Third-Party Risk Management (TPRM) Analyst to own how Fireworks evaluates, onboards, and monitors the vendors and subprocessors we depend on. You'll join our security and compliance team and run the full vendor risk lifecycle: intake, due diligence, risk tiering, contract security review, ongoing monitoring, remediation, and offboarding. Your work supports our SOC 2, HIPAA, ISO 27001, ISO 27701, ISO 42001, and GDPR commitments and gives our customers confidence in the supply chain behind their data. From day one you'll run real vendor reviews, from cloud and GPU infrastructure providers to SaaS tools and AI/ML services, with clear room to grow into owning the program end to end. This is a good fit for someone with solid hands-on vendor risk or compliance experience who wants to shape how a fast-moving AI infrastructure company scales its third-party program. What you'll do - Run vendor intake and risk tiering. Triage inbound vendor requests from Engineering, IT, GTM, and Legal, classify each vendor by data sensitivity and criticality, and scale review depth to the tier. - Perform security due diligence. Review SOC 2 Type II reports, ISO 27001/27701/42001 certificates, HIPAA and GDPR documentation, pen test summaries, and security questionnaires, then translate them into a clear, defensible risk rating. - Spot real gaps. Tell a true control gap from an acceptable compensating control, document findings and exceptions, and drive risk acceptance decisions with the right risk owners. - Partner on contracts. Work with Legal and Procurement on DPAs, BAAs, subprocessor terms, and security addenda so risk findings are reflected before contracts are signed. - Monitor vendors continuously. Run reassessments on a tiered cadence, track SOC 2 and ISO report expirations and bridge letters, watch for vendor incidents and breaches, and review subprocessor changes. - Track remediation to closure. Follow up with vendors and internal owners, keep issues moving, and maintain an accurate vendor inventory and risk register in our GRC platform. - Report on program health. Track review cycle times, backlog, open exceptions, reassessment coverage, and concentration risk, and turn that data into insights for security leadership. - Improve the program. Refine questionnaires, tiering criteria, intake workflows, and templates, and use automation and AI-assisted workflows to review more vendors without lowering the bar. - Work across teams. Meet Engineering, IT, HR, Legal, and GTM where they are, and explain vendor risk in plain language rather than acting as a gatekeeper. How the role will grow As you build context on our environment and program, you'll take on broader ownership and move toward more scope: - End-to-end ownership. Own the entire TPRM workstream, from intake through offboarding, including policy, standards, and tiering criteria. - Program design. Help design new assessment methods, risk models, and automation that raise the bar on speed and consistency as vendor volume grows. - Broader risk influence. Connect third-party findings to our enterprise risk register and represent GRC in cross-functional projects such as new AI/ML vendor adoption and infrastructure provider selection. What we're looking for - 3-5 years of experience in third-party/vendor risk management, GRC, IT audit, or information security - Hands-on experience running vendor security assessments: reviewing questionnaires, SOC 2 and ISO reports, and security documentation, and turning them into a clear risk rating - Familiarity with the TPRM lifecycle: intake, risk tiering, exceptions and risk acceptance, remediation tracking, and periodic reassessment - Working knowledge of SOC 2, ISO 27001/27701/42001, HIPAA, GDPR, NIST CSF, or similar, and common control domains (access control, encryption, incident response, BC/DR) - Experience with a GRC or TPRM platform (Anecdotes, Vanta, Drata, Secureframe, OneTrust, Whistic, or similar) - Comfort with cloud environments (AWS, GCP, or Azure) and how SaaS and AI products are built and operated, enough to assess vendors that host or process our data - Strong written communication: you can explain a vendor risk to engineers, Legal, Procurement, and non-technical employees without overstating or hand-waving - Detail-oriented and organized, with the ability to juggle many reviews and deadlines without dropping rigor - A collaborative mindset; you enjoy working across teams rather than gatekeeping 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.
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