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Technical Program Manager, Cloud
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking experienced and highly motivated Technical Program Managers (TPMs) to join our Cloud Infrastructure organization and drive the delivery of complex, high-impact infrastructure programs. As Mistral continues to scale its AI compute infrastructure, bringing new capacity online quickly and reliably is critical to our success. This involves not only deploying physical infrastructure but also coordinating the engineering efforts required to make that infrastructure fully operational. In this role, you will work at the intersection of cloud engineering, software infrastructure, and data center deployments , ensuring seamless execution across multiple technical teams. You will coordinate programs involving networking, storage, Kubernetes, fleet management, and infrastructure operations, working closely with engineering teams to manage dependencies, anticipate risks, and accelerate the deployment of production-ready compute capacity. The TPM role spans several critical areas of program management: Cloud Infrastructure Deployment – Coordinate the software deployment and bring-up of new compute infrastructure, ensuring smooth transitions from physical data center deployment to fully operational cloud environments. Technical Program Management – Plan, execute, and oversee complex infrastructure programs involving multiple engineering teams, managing dependencies, timelines, and technical risks to ensure successful delivery. Cross-Functional Engineering Coordination – Work closely with Cloud Engineering, Data Center Infrastructure, Networking, Storage, Kubernetes, and Fleet teams to align priorities, resolve blockers, and drive execution. Engineering Operations & Process Improvement – Identify opportunities to streamline infrastructure deployment processes, improve coordination, and introduce scalable, lightweight workflows that accelerate delivery. Location & Office Policy The position is based in our Paris HQ offices and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours. What You Will Do Program Management — Lead and coordinate complex cloud infrastructure programs, from physical infrastructure handover through software deployment and production readiness. Infrastructure Deployment — Oversee the software bring-up of newly deployed compute infrastructure, coordinating engineering teams responsible for networking, storage, Kubernetes, fleet delivery, and infrastructure health. Cross-Functional Collaboration — Work closely with Cloud Engineering, Data Center Infrastructure, and other technical teams to ensure alignment across deployment activities, technical dependencies, and operational priorities. Project Delivery — Define and track project milestones, timelines, and resources. Anticipate blockers, coordinate technical dependencies, and ensure infrastructure is brought into production efficiently and reliably. Process Improvement — Continuously identify opportunities to improve deployment workflows, reduce time to production, and establish scalable processes that support our growing infrastructure needs. Stakeholder Management — Maintain clear communication with engineering teams, technical leads, and leadership, providing visibility into program progress, risks, and key decisions. Risk Management — Proactively identify technical and operational risks, develop mitigation strategies, and drive the resolution of critical issues that could delay infrastructure availability. What We're Looking For - You hold a degree in a relevant scientific or technical field (e.g., Computer Science, Engineering, or a related discipline). - You have at least 4 years of relevant experience managing technical programs, preferably in cloud infrastructure, software infrastructure, data centers, GPU computing, hosting, or related environments. - You have proven experience coordinating complex technical projects involving multiple engineering teams and interdependent workstreams. - You have a strong understanding of infrastructure deployment processes and the technical challenges involved in bringing systems into production. - You have excellent project management skills, with the ability to manage multiple complex programs and drive execution in fast-paced environments. - You thrive in cross-functional collaboration and can effectively communicate with engineers, technical leads, and senior stakeholders. - You are highly organized and know how to manage cross-team dependencies, anticipate blockers, and keep projects moving forward. - You are a proactive problem-solver with a continuous improvement mindset, comfortable navigating ambiguity and taking ownership. Ideally, you have: - Experience managing cloud infrastructure or large-scale data center deployment programs. - A background in cloud engineering, software infrastructure, platform engineering, or a related technical field. - Familiarity with Kubernetes, networking, storage systems, distributed systems, or infrastructure automation. - Experience working on GPU infrastructure, HPC environments, or large-scale compute deployments. - Experience coordinating projects involving both physical infrastructure and software engineering teams. - Previous experience as a Software Engineer, Infrastructure Engineer, SRE, or Technical Program Manager. - Already worked in an AI company or on large-scale AI infrastructure projects. 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 .
Strategic Account Executive, Enterprise - LATAM
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. You'll be one of our first Strategic Account Executives in Latin America. You'll own a named book of the region's largest enterprises across industries and work with their engineering organizations, from CTOs to individual teams. You'll show how Cursor and SpaceXAI's models change developer productivity. You'll land new accounts, expand them across teams and countries, and help write the playbook for how we sell in the region. RESPONSIBILITIES: - Own a named book of strategic accounts. Drive new logos and expansion, and run multi-threaded cycles across Engineering, Security, Procurement, Legal and executive stakeholders. - Build your own pipeline. Find new business through outbound, account mapping, partner referrals and your own network. - Lead technical evaluations. With Field Engineering, run trials and proofs of value in customers' real codebases. - Prove the value. Build ROI cases tied to developer productivity, delivery speed and quality. - Handle enterprise requirements. Work through security reviews, data protection rules (Brazil's LGPD and Mexico's privacy law), legal terms and procurement. - Stay accountable after signature. Partner with our AI Deployment team so customers reach production and expand, and be the customer's voice to Product, Marketing and leadership. BASIC QUALIFICATIONS: - Achieved 100% or more of quota in at least two of the last three full years - Closed at least one self-sourced complex enterprise deal in the last three years as owner of record, which went through procurement and a security or legal review and involved five or more stakeholders - Professional proficiency in English, plus Portuguese (São Paulo) or Spanish (Mexico City) PREFERRED SKILLS AND EXPERIENCE: - Experience selling developer tools, technical SaaS, cloud, data or AI to technical buyers - A strong grasp of how modern engineering teams build and ship software - A hunter's habits: account mapping, creative sourcing and persistent follow-up - Comfort with both top-down executive selling and bottom-up developer adoption - Deals you closed through your own network inside LATAM's largest companies - Working proficiency in both Portuguese and Spanish - Experience with regional systems integrators or cloud marketplaces ADDITIONAL REQUIREMENTS: - Must be willing to travel up to 25% of the time, within LATAM.
Sales Development Lead - North America
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 a Sales Development Lead to drive our growing SDR team to the next stage of maturity as an organization. You’ll be stepping into an exciting phase: we already have a strong foundation SDRs in place, new starters joining, and more hires planned as we continue to grow. This role is pivotal in shaping how we generate pipeline, break into new markets, and drive top-of-funnel excellence at ElevenLabs. You’ll bring creative and proactive outbound strategies, strategy to a high-velocity team, while working closely with Account Executives and sales leadership to fuel our ambitious growth targets. We are particularly interested in finding builders who can leverage the power of AI and automation to redefine the SDR role as it exists today. If you're a player-coach who thrives in fast-paced environments, loves building and developing talent, and gets energy from seeing your team win - we’d love to hear from you. In this role you will: - Lead a team of SDRs with plans for continued headcount growth - Foster go-to-market experimentation as we expand across customer segments and global markets - Inspire a team culture of curiosity, accountability, and continuous improvement - Use data and tooling to continuously optimize strategy and supersede impact metrics - Establish and refine scalable processes for outbound prospecting, qualification, and AE handoff - Build onboarding, enablement, and coaching frameworks that set your team up for long-term success - Partner with Account Executives and sales leadership to align on pipeline targets and performance metrics Requirements - 4+ years of experience in sales or business development, with at least 1–2 years in a management or team lead capacity - Proven excellence and deal closing experience - Relevant and recent experience in outbound prospecting, especially to technical and enterprise personas - Deep AI fluency and builder experience - Experience managing high-performing SDR or BDR teams in fast-growing tech environments - Skilled in sales metrics, CRM/reporting tools, and modern outreach techniques - Excellent coaching and communication skills — you're energized by developing others - Comfortable with ambiguity and pace — you thrive in high-growth, rapidly changing environments Bonus: - Experience in early-stage or Series A–C startup environments - Exposure to voice tech, AI, developer tools, or creative platforms - Worked with globally distributed teams This role is remote-first and can be executed from anywhere in the United States. The ability to operate in ET, CT, MT, or PT timezones is required. There is a preference for candidates based in San Francisco. 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.
Revenue Partnerships - Southern Latam
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 partnerships leader to build and scale our Commercial Partners Programme in Southern Latam — bringing together resellers, systems integrators, and consulting firms who help deploy ElevenLabs' technology to their clients across the Southern Latam market. You'll own the reseller, integrator, and consulting partner strategy end-to-end — from building relationships with leading SIs, consultancies, and resellers, to onboarding, enabling, and activating them to sell and deliver ElevenLabs products. This is a 0→1 build: you'll design and pilot partner incentive and enablement models, generate qualified pipeline through partner-led opportunities, and scale the programme against regional growth targets, while owning day-to-day execution and partner performance. What Success Looks Like (First 6–9 Months) - Partner-Sourced & Influenced Revenue: closed-won ARR through GSIs, RSIs, cloud providers, VARs, and technology partners reaching at least 20% of regional revenue - Partner-Sourced Pipeline: qualified pipeline created through partners, with a focus on enterprise opportunities in target industries - Revenue-Producing Partners: number of partners actively generating pipeline, opportunities, or revenue each quarter - Time-to-First Revenue: speed from partner onboarding to first sourced opportunity and first closed-won deal - Strategic Account Penetration: new enterprise accounts and executive relationships unlocked through partners that ElevenLabs would've struggled to access directly Requirements - 12+ years building and scaling an in-country SaaS/Cloud solution, with a strong network you can leverage from day one - 4+ years owning RSI, GSI, and hyperscaler partnerships, with proven experience driving joint account planning, co-sell, and revenue — not just relationship management - A builder mindset — experience creating partner motions from 0→1, rather than inheriting a mature programme - Comfortable working with technical, API-driven products, and able to explain complex concepts to partners and customers - Based in Buenos Aires Bonus: Mix of 3-4 years in sales + 3-4 years in partnerships/alliances; mix of 3-4 years at a large company + 3-4 years at a smaller/less established company 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.
GTM Recruiter
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 ElevenLabs is building one of the world's fastest-growing AI companies - and we're looking for a GTM Recruiter to partner with our Revenue org. You'll run full-cycle recruiting across our high volumes roles, partnering with leaders across our Sales Development, Corporate, Mid-Market, and Partnerships team to hire world class talent. This isn't a conventional recruiting role. You'll work alongside GTM leaders to shape role strategy, design world class candidate experiences, and close exceptional talent across North America. You know what great looks like in a Revenue org - whether from building GTM teams at exceptional tech companies or from your own experience exceeding hiring goals. This role is centered around high ownership, making data driven decisions, and building hiring processes and pipelines that scale. What your day might look like - Full-cycle recruiting for a broad range of GTM roles including Sales Development Representatives, Account Executives, and Revenue Partnerships. - Partnering closely with GTM leadership to refine role requirements, set hiring strategy, and identify key success signals that elevate quality of hire. - Designing and managing candidate pipelines with a focus on efficiency, transparency, and a white glove, high touch experience. - Acting as a trusted advisor to hiring teams, providing market insights, role benchmarks, and data-driven recommendations. - Representing ElevenLabs externally - every interaction with candidates is an opportunity to bring our brand and values to life. Requirements - Full-cycle GTM recruiting experience for a high growth startup, with a strong track record closing quota-carrying roles across Sales roles. - Able to manage high volume and complex searches across multiple priorities without sacrificing quality or urgency. - Strong partner to hiring leaders - you influence with clarity, data, and operational rigor. - Exceptional communicator - you craft compelling role narratives and deliver a high-touch experience for candidates and stakeholders alike. - Preference for this role to be based in New York City. Location This role is remote-first, so it can be executed from anywhere, with candidates based in New York City strongly preferred. If you prefer, you can work from our New York 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.
GTM Lead - Outbound & Prospecting
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 hiring a GTM Lead to own how ElevenLabs builds outbound pipeline in North America. This isn't a traditional SDR management role. You'll lead a team of SDRs, build the AI agents and workflows that work alongside them, and stay close enough to the work to prospect and sell yourself. You'll join at an exciting point: a strong SDR foundation is in place, new starters are joining, and more hires are planned as we grow. You'll define the next version of outbound here: what gets automated, what stays human, and how we break into new accounts and segments. Then you'll build it. We're an AI company, and our outbound motion should prove it. This role is measured in pipeline dollars and revenue, not activity. If you've carried a closing number, built something real with AI, and get energy from developing people and watching your team win, we'd love to hear from you. In this role you will: - Own outbound pipeline for our Corporate and Mid-Market segments in North America, with targets set in pipeline dollars and revenue - Lead and grow a team of SDRs, with more headcount planned - Stay hands-on as a player-coach: prospect, open new accounts, and coach in the moment - Build the AI agents, automations and signal-based workflows that let a lean team cover a large market, starting with ElevenLabs' own products - Run go-to-market experiments across segments, channels and markets, and double down on what works - Build onboarding, enablement and coaching that grow SDRs into future closers - Partner with Account Executives, sales leadership, marketing and RevOps on targets, ICP and a clean handoff to AEs Requirements - 8+ years in B2B software or technology sales, including time in a closing seat (AE, account manager or full-cycle seller) where you carried a number and beat it - Experience leading people: managing SDRs, AEs or a mix, or building a sales function from the ground up - You build with AI, you don't just use it: you've shipped agents, automations or workflows that changed how you or your team sells, and you can walk us through them - Recent, hands-on outbound experience with technical and business buyers - You work from the numbers that matter (pipeline dollars, conversion, win rate, deal size) and you know CRM and modern outbound tooling well - A track record at fast-growing companies; you're comfortable with ambiguity and pace - Clear, concise communication, and a coaching style that makes people better Bonus - Early-stage or Series A–D startup experience, especially as a founding AE or first go-to-market hire - Exposure to voice AI, AI agents, customer experience, or developer tools and APIs - You've already built something with ElevenLabs - Experience with globally distributed teams Location This role is remote-first and can be done from anywhere in the United States. You must be able to work in ET, CT, MT or PT time zones. We prefer candidates based in San Francisco. 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.
Content Strategist
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! Role summary: The Content Strategist decides what the team makes and why. This role sets direction across all content streams by defining audiences, prioritizing based on business impact, and building the measurement framework that proves (or disproves) the work is paying off. Core responsibilities: - Define content strategy, pillars and priorities within each stream, tied to concrete business goals (pipeline generation, developer adoption, retention, brand awareness) - Build audience segmentation per stream. For example, a prospective customer, a developer evaluating the product, and an existing customer being featured in a case study all need different treatment - Own the measurement framework and reporting: SEO/traffic for blog and thought leadership, adoption/engagement for developer content, sales-assist and pipeline influence for customer stories, funnel metrics for product content - Translate strategy into concrete briefs the Managing Editor can schedule and the Content Editor/Staff Writer can execute against - Present content performance and ROI to the Head of Editorial Content and cross-functional stakeholders - Drive content calendar development and planning - Explore new content opportunities and channels - Present ROI and performance insights to leadership - Collaborate with Growth Marketing on messaging strategy Qualifications - 5+ years of experience in content strategy, content marketing, or a closely related discipline - Experience with SEO, analytics tooling, and attribution modeling - Track record connecting content output to business outcomes, not just vanity metrics - B2B or technical industry experience is a strong plus given the developer content component 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.
Content Editor
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! Role summary: The Content Editor is the team's senior hands-on editorial contributor, writing and editing the company's highest stakes content across thought leadership, developer content, customer stories, and product marketing content. This role pairs closely with the Staff Writer (editing and mentoring their work) and the Managing Editor (executing against the shared calendar), while taking on the pieces that require the most craft, technical fluency, or narrative judgment. Core responsibilities: - Write and edit flagship content across all editorial streams: executive bylines and thought leadership essays, guides or dev focused explainers, customer case studies, and product launch or feature human-led content - Edit and strengthen the Staff Writer's drafts with line edits, structural feedback, and voice consistency, functioning as a mentor, not just a reviewer - Translate raw input (SME interviews, product specs, customer conversations, exec talking points) into polished, publishable stories - Partner with the Content Strategist to turn strategic briefs into concrete, well-scoped pieces ensuring SEO/AEO value - Partner with the Managing Editor on prioritization and sequencing, as two team writers covering multiple content types requires triage - Maintain and evolve the style guide in practice as this role enforces voice/tone at each sentence level - Fact-check and coordinate technical & legal accuracy review on dev content and customer stories - Oversee content production workflow from draft to publish - Ensure consistency in voice, tone, and brand messaging - Coordinate with writers on revisions and improvements - Manage editorial calendar execution Qualifications - 8+ years of experience professional writing/editing experience, ideally split across B2B/technical content and narrative-driven content (case studies, brand storytelling) - Comfortable interviewing engineers, customers, and executives and turning raw material into a clear narrative - Portfolio showing range: technical writing, thought leadership, and story-driven work, not just one lane - Experience working within a style guide and editing others' work, not only producing your own 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.
Regional Director, Global Government Sales
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. REGIONAL DIRECTOR, GLOBAL GOVERNMENT SALES You'll build and lead the team that brings SpaceXSI to governments in your region. You'll hire the Account Executives, set territory and account strategy, and put in place the operating rhythm and playbooks that make government selling repeatable. You'll also stay hands-on and personally lead the largest pursuits in the region with your team. You'll represent government customers' needs to Product, Security and Policy, and own the regional relationship with Starlink and other SpaceX teams so that joint pursuits run as one coordinated effort. RESPONSIBILITIES: - Build the team. Hire, develop and coach Global Government Account Executives, and set a high bar for who joins. - Own regional pipeline and bookings. Set the regional sales strategy and own team pipeline generation and forecast accuracy, through regular forecast, pipeline and deal reviews. - Lead the largest pursuits. Work directly with senior government officials on the region's biggest deals, and coach your team through live sales cycles. - Make government selling repeatable. Build playbooks for tenders, procurement frameworks, security and sovereignty reviews, partner teaming and post-signature governance, and use them to speed up how fast new Account Executives ramp. - Lead the SpaceX partnership and partner ecosystem in the region. Set joint account plans with Starlink and other SpaceX teams, and develop the systems integrators and local partners the region relies on. - Win early reference customers in new countries, and bring field insight into positioning, deployment models and pricing. BASIC QUALIFICATIONS: - 3+ years leading a team, including hiring and developing sellers - Experience owning a team's pipeline generation and forecast against plan - Experience personally closing complex public-sector deals and selling to or advising senior government officials (agency head, deputy minister or equivalent) PREFERRED SKILLS AND EXPERIENCE: - Hands-on leadership: you stay close to live deals and turn sellers into consistent performers - Playbooks and operating rhythm you've built and run - Fluency in public-sector procurement, contracting and compliance in more than one country - Enough technical fluency to hold credible AI conversations with technical and senior government audiences - Joint pursuits run across a complex, multi-company organization - Experience selling AI, cloud, software or data platforms to the public sector - Experience building a regional sales team or market entry from scratch - Relationships across foreign affairs ministries, regional bodies, or defense and security communities - Experience selling integrated hardware, connectivity and software solutions to governments - Professional fluency in Spanish, Portuguese, Arabic or French ADDITIONAL REQUIREMENTS: - Must be willing to travel approximately 30% of the time, mostly internationally. COMPENSATION AND BENEFITS: The expected annual base salary range for this role is $212,500 - $225,000. This role is also eligible for sales commissions or bonuses, with an annual on-target earnings (OTE) range of $425,000 - $450,000. OTE includes base salary plus target incentive compensation, assuming 100% achievement of applicable performance targets. Actual incentive earnings depend on performance and the terms of the applicable plan. Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Lead Product Designer, Growth (Mobile)
In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. About the role Perplexity is looking for an experienced Lead Product Designer to own mobile design for Growth. You'll shape the experiences that bring Perplexity to as many people as possible on the device they reach for first, making software that feels like the future but can be understood and used by anyone in the world today. Growth design has its own craft and nuance, and so does mobile. You'll own the highest-leverage moments in the mobile user journey: first-run onboarding and activation, consumer acquisition surfaces, conversion flows, paywalls and pricing, the nudges and upsells that drive adoption of new products and features, and the retention loops that turn first-time users into daily ones. This is design where a few pixels, a single step, or the timing of a transition can move real numbers, so you'll pair a high craft bar with rigorous experimentation, letting real data guide the work. You'll do that in the real material: prototyping on device, writing SwiftUI in Xcode, and putting up your own PRs. You care about clarity, craft, details, and delight as much as you care about growth and impact. This role is deeply cross-functional: you'll partner closely with our Growth, Product Marketing, mobile engineering, and brand design teams, and you care about everything it takes to make a product great: product, interaction, growth, copywriting, engineering, and marketing. What you'll do - Lead mobile product design for Growth across the full lifecycle: acquisition, activation, retention, monetization, and enterprise expansion - Design first-run and onboarding experiences that feel native to the platform and get users to value as fast as possible - Craft conversion and upsell flows for mobile, including paywalls, pricing, and plan comparison - Design growth experiences for an AI-native product, getting people to their first great answer fast and helping them discover new capabilities like Computer - Bring the Perplexity brand to life in our growth surfaces through cinematic motion, visual design, and interaction detail - Prototype on device early and often, using real code to answer questions static mocks can't - Write SwiftUI and put up your own PRs, working alongside mobile engineers to close the gap between the design and what ships - Partner closely with Growth and Product Marketing on positioning, messaging, and funnel strategy - Design and run experiments, using data and real usage to drive decisions and measure impact - Explore what new platform capabilities and form factors make possible for growth - Think about how to go from 0→1 but also how to make your decisions scale well - Contribute to process so we're always shipping changes you're proud of, as often as possible What we're looking for - Experience designing consumer or prosumer products, with a strong track record of shipping native mobile apps - Deep fluency in iOS: platform conventions, navigation patterns, gestures, system components, and what's new each year - A solid understanding of growth nuances: onboarding, activation, acquisition, conversion, upsells, paywalls, pricing, and retention - A data-informed approach, fluent in experimentation, funnels, and metrics, and comfortable learning from usage - Excellent visual, UI, interaction, and motion skills, with a knack for bringing a brand to life in product without getting in the way of use - Comfort prototyping on device, working in Xcode with SwiftUI, and putting up your own PRs in a production codebase - An excellent communicator who can tell a clear story from data and design rationale to team members and leadership - You care about shipping great software more than anything else - Comfort with a high level of autonomy and ambiguity, and the craft to be seen as a peer lead by the rest of the design team - 5+ years of industry experience Nice to have - Experience designing for Android or working in Jetpack Compose (we design iOS-first, but Android is in scope) - Fluency with motion tools such as Rive, Lottie, or After Effects - You've already been exploring or prototyping interactions for foldables like iPhone Duo Notes for candidates - Please submit your portfolio with your application.
Thermal Engineer
About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We are looking for an experienced Thermal Engineer with 7+ years of experience in thermal management of IT hardware from chip/package to system levels. You’ll work alongside experts in thermal, mechanical, electrical, software, and systems engineering to support the design, analysis, and validation of thermal solutions that ensure the reliability, efficiency, and longevity of mission-critical hardware. This position requires strong analytical skills, hands-on testing experience, and the ability to work in a fast-paced, cross-disciplinary environment. Key Responsibilities - Design and optimize thermal solutions for data center hardware, including chips, power modules, and system-level cooling architectures - Evaluate thermal performance at the chip, package, and board levels, addressing challenges related to power density, heat dissipation, and thermal interface materials - Perform thermal modeling and simulation to predict temperature profiles and identify thermal bottlenecks - Collaborate with cross-functional teams to integrate thermal management strategies into hardware design, from concept to mass production - Support lab testing and validation, including the setup of thermal experiments, data acquisition, and troubleshooting of thermal performance issues - Design and select thermal components, such as cold plates, heat sinks, fans, vapor chambers, and thermal interface materials (TIMs) - Work with firmware and electrical engineers to define and implement thermal control algorithms for dynamic power and cooling management. - Conduct feasibility studies and trade-off analyses to evaluate cooling technologies and improve system thermal efficiency - Partner with suppliers and manufacturers to support the development of custom thermal components and ensure quality in production Qualifications - Bachelor’s degree in Mechanical Engineering, Thermal Engineering, or a related field (Master’s preferred). - 7+ years of industry experience in thermal design, simulation, and validation for IT hardware - Proficiency in thermal simulation software and CAD tools - Strong understanding of heat transfer principles, thermodynamics, and fluid mechanics, with an emphasis on electronics cooling - Hands-on experience with thermal testing equipment, including thermocouples, infrared cameras, wind tunnels, and P-Q characterization setups - Experience in chip/package-level thermal analysis, including die-level heat spreading, and package thermal modeling - Ability to analyze experimental data, identify root causes of thermal issues, and implement corrective actions - Strong problem-solving skills, with the ability to perform first-principles calculations to support design decisions. - Self-driven, detail-oriented, and able to work independently or collaboratively in cross-functional engineering environments Preferred Skills - 10+ years of industry experience in thermal design, simulation, and validation for IT hardware - Extensive experience with data center hardware or high-performance computing systems at scale - Practical experience in developing advanced cooling technologies - Familiarity with thermal control algorithms and dynamic thermal management techniques - Understanding of reliability testing, failure analysis, and thermal stress testing for electronic components - Experience working with suppliers and manufacturing partners to support thermal solution development and production ramp-up 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.
Partnerships Lead, Northern Europe
About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, support responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work across Sales, Solutions Engineering, Customer Success, Product, Marketing, Operations, and partner organisations to turn strategic partnerships into measurable customer and commercial outcomes. Cloud providers, global systems integrators, consulting firms, and technology partners play a critical role in helping customers adopt and scale OpenAI’s products. Our Partner Sales & Development team connects these partnerships to the field through joint account planning, opportunity development, coordinated sales execution, and delivery alignment that helps customers move from initial interest to production adoption. About the Role We are hiring a Partnerships Lead to lead our partner sales and development team for Northern EMEA. Reporting to the Head of GTM Partnerships, Europe you will manage and develop a regional team, own the regional partner business, and work alongside OpenAI Sales leadership and strategic partners to generate pipeline, advance complex pursuits, and drive revenue and customer adoption. This is a people management role that combines team leadership, partner business development, co-sell execution, and operational discipline. You will translate broader partnership priorities into a focused regional plan, set team goals and account coverage, and coach your team to engage the right partners at the right point in the customer journey. You will build relationships with partner field leaders and remain hands-on in priority pursuits, working with technical and delivery teams to turn commercial commitments into sustained customer value. You will be accountable for both regional business performance and the success of your team. We are looking for an experienced people manager who can hire and develop talent, establish clear expectations, manage performance, and build a culture of accountability, collaboration, and customer focus. In This Role, You Will: - Own the partner sales and development plan for your assigned region, Northern Europe, aligning team coverage, target accounts, partner priorities, sales plays, and execution milestones with regional Sales leadership - Drive regional commercial outcomes across partner-sourced and partner-attached pipeline, bookings, production adoption, and expansion, with clear accountability for business performance. - Identify and develop new partner-led opportunities. Evaluate where partners can create differentiated customer value, establish executive sponsorship, and build a path from initial engagement to joint execution. - Lead account mapping and joint account planning with OpenAI sellers and partner teams to identify whitespace, qualify opportunities, and prioritize the accounts and use cases with the greatest potential. - Orchestrate complex co-sell pursuits, aligning account teams, partner sellers, technical stakeholders, and services organizations around customer needs, clear responsibilities, and mutual action plans. - Build trusted relationships with regional partner executives and field leaders, while coordinating with global partner owners to ensure regional execution supports the broader partnership strategy. - Partner with Solutions Engineering, Customer Success, Product, and partner delivery teams to address technical and implementation dependencies and help customers deploy, adopt, and expand AI workloads in production. - Create repeatable field engagement models, partner enablement, sales plays, and escalation paths that make it easier for OpenAI and partner teams to work together effectively. - Establish disciplined pipeline reviews, forecasting, business reviews, and performance reporting. Use evidence to assess partner contribution, diagnose underperformance, and adjust investments and priorities. - Navigate complex stakeholder relationships, commercial tradeoffs, and competing priorities with sound judgment, working across Legal, Security, Finance, and other teams as needed. - Hire, manage, coach, and develop a high-performing regional partner sales and development team. Set individual and team goals, provide regular feedback, manage performance, and support career growth. You Might Thrive in This Role If You Have: - Significant experience in enterprise sales, partner sales, strategic alliances, or business development within cloud, AI, SaaS, or enterprise technology. - A track record of owning regional or segment-level business outcomes and delivering measurable pipeline, revenue, and customer growth through partners. - Demonstrated direct people management experience in partner sales, enterprise sales, alliances, or a related GTM function, including hiring, coaching, performance management, and team development. - Deep familiarity with cloud providers, global systems integrators, consulting firms, or technology partner ecosystems, and an understanding of how their field organizations sell and deliver. - Experience creating opportunities and leading complex partnerships or customer engagements from discovery and qualification through commercial execution, launch, adoption, and expansion. - Strong enterprise sales fundamentals, including account planning, opportunity qualification, stakeholder mapping, negotiation, pipeline management, and forecasting. - The ability to earn trust with Sales leaders, partner executives, technical teams, and peers, and to resolve disagreements constructively in a matrixed organization. - Technical-commercial fluency: you can understand customer use cases, translate partner needs into clear requirements, and engage product and technical teams on implementation tradeoffs. - Strong operational judgment and a builder mindset. You can create structure where a playbook does not yet exist, adapt as priorities change, and move quickly without sacrificing customer trust. - Clear communication, executive presence, self-awareness, and a collaborative approach to feedback and problem-solving. Preferred Qualifications: - Experience managing geographically distributed teams and aligning account or territory coverage across a region. - Experience building or scaling a regional partner sales or co-sell business at a high-growth technology company. - Experience aligning sales and partner delivery organizations to support enterprise implementations and sustained production adoption. - Familiarity with AI platforms, modern cloud architectures, cloud marketplaces, and enterprise procurement models. 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.
Partner Sales & Development Leader
About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, support responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work across Sales, Solutions Engineering, Customer Success, Product, Marketing, Operations, and partner organizations to turn strategic partnerships into measurable customer and commercial outcomes. Cloud providers, global systems integrators, consulting firms, and technology partners play a critical role in helping customers adopt and scale OpenAI’s products. Our Partner Sales & Development team connects these partnerships to the field through joint account planning, opportunity development, coordinated sales execution, and delivery alignment that helps customers move from initial interest to production adoption. About the Role We are hiring a Partner Sales & Development Manager to lead our partner sales and development team for either the South & East or North & West region of North America. Reporting to the North America Co-Sell Leader, you will manage and develop a regional team, own the regional partner business, and work alongside OpenAI Sales leadership and strategic partners to generate pipeline, advance complex pursuits, and drive revenue and customer adoption. This is a people management role that combines team leadership, partner business development, co-sell execution, and operational discipline. You will translate broader partnership priorities into a focused regional plan, set team goals and account coverage, and coach your team to engage the right partners at the right point in the customer journey. You will build relationships with partner field leaders and remain hands-on in priority pursuits, working with technical and delivery teams to turn commercial commitments into sustained customer value. You will be accountable for both regional business performance and the success of your team. We are looking for an experienced people manager who can hire and develop talent, establish clear expectations, manage performance, and build a culture of accountability, collaboration, and customer focus. In this role, you will: - Own the partner sales and development plan for your assigned region—South & East or North & West—aligning team coverage, target accounts, partner priorities, sales plays, and execution milestones with regional Sales leadership and the North America Co-Sell Leader. - Drive regional commercial outcomes across partner-sourced and partner-attached pipeline, bookings, production adoption, and expansion, with clear accountability for business performance. - Identify and develop new partner-led opportunities. Evaluate where partners can create differentiated customer value, establish executive sponsorship, and build a path from initial engagement to joint execution. - Lead account mapping and joint account planning with OpenAI sellers and partner teams to identify whitespace, qualify opportunities, and prioritize the accounts and use cases with the greatest potential. - Orchestrate complex co-sell pursuits, aligning account teams, partner sellers, technical stakeholders, and services organizations around customer needs, clear responsibilities, and mutual action plans. - Build trusted relationships with regional partner executives and field leaders, while coordinating with global partner owners to ensure regional execution supports the broader partnership strategy. - Partner with Solutions Engineering, Customer Success, Product, and partner delivery teams to address technical and implementation dependencies and help customers deploy, adopt, and expand AI workloads in production. - Create repeatable field engagement models, partner enablement, sales plays, and escalation paths that make it easier for OpenAI and partner teams to work together effectively. - Establish disciplined pipeline reviews, forecasting, business reviews, and performance reporting. Use evidence to assess partner contribution, diagnose underperformance, and adjust investments and priorities. - Navigate complex stakeholder relationships, commercial tradeoffs, and competing priorities with sound judgment, working across Legal, Security, Finance, and other teams as needed. - Hire, manage, coach, and develop a high-performing regional partner sales and development team. Set individual and team goals, provide regular feedback, manage performance, and support career growth. You might thrive in this role if you have: - Significant experience in enterprise sales, partner sales, strategic alliances, or business development within cloud, AI, SaaS, or enterprise technology. - A track record of owning regional or segment-level business outcomes and delivering measurable pipeline, revenue, and customer growth through partners. - Demonstrated direct people management experience in partner sales, enterprise sales, alliances, or a related GTM function, including hiring, coaching, performance management, and team development. - Deep familiarity with cloud providers, global systems integrators, consulting firms, or technology partner ecosystems, and an understanding of how their field organizations sell and deliver. - Experience creating opportunities and leading complex partnerships or customer engagements from discovery and qualification through commercial execution, launch, adoption, and expansion. - Strong enterprise sales fundamentals, including account planning, opportunity qualification, stakeholder mapping, negotiation, pipeline management, and forecasting. - The ability to earn trust with Sales leaders, partner executives, technical teams, and peers, and to resolve disagreements constructively in a matrixed organization. - Technical-commercial fluency: you can understand customer use cases, translate partner needs into clear requirements, and engage product and technical teams on implementation tradeoffs. - Strong operational judgment and a builder mindset. You can create structure where a playbook does not yet exist, adapt as priorities change, and move quickly without sacrificing customer trust. - Clear communication, executive presence, self-awareness, and a collaborative approach to feedback and problem-solving. Preferred Qualifications - Experience managing geographically distributed teams and aligning account or territory coverage across a region. - Experience building or scaling a regional partner sales or co-sell business at a high-growth technology company. - Experience aligning sales and partner delivery organizations to support enterprise implementations and sustained production adoption. - Familiarity with AI platforms, modern cloud architectures, cloud marketplaces, and enterprise procurement models. 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.
Onboarding Coordinator - APAC
About the Team The People Programs team at OpenAI plays a pivotal role in creating an environment where every employee can thrive, grow, and contribute to our mission of ensuring that AGI benefits all of humanity. This expanding team develops and executes human-first strategies and programs that support our rapid growth, unique culture, and innovative spirit. Our Coaching, Learning & Development team manages programs ranging from new employee onboarding to manager development and company-wide learning systems used across OpenAI. About the Role We’re looking for an Onboarding Coordinator to support our APAC onboarding program, seated in Singapore As Singapore continues to serve as a regional hub for APAC, and with new offices this role will provide critical operational support as hiring and onboarding complexity grows across the region. This role will manage the day-to-day execution of onboarding activities across APAC, ensuring a smooth, welcoming, and well-coordinated experience for new hires and their managers. The coordinator will support onboarding operations across Singapore, and other APAC locations, with a particular focus on enabling the continued growth of the GTM function in the region. You will own core onboarding coordination responsibilities, including calendar invites, pre-onboarding communications, Day 1 preparation, facilitator support, and in-person logistics for onboarding in Singapore, as well as support for emerging office locations and occasional remote onboarding across APAC. You’ll also partner closely with IT, Workplace, Recruiting, and People teams to support device readiness, office logistics, new hire communications, and Day 1 integration. This role is ideal for someone who thrives on operational excellence, enjoys supporting others through key moments of transition, and is energized by cross-functional collaboration in a fast-paced, global environment. Strong attention to detail, comfort working across time zones, and the ability to adapt global onboarding processes to regional needs will be key to success. This role is based in Singapore and we operate in a hybrid work arrangement with 3 days in office. Your Responsibilities - Own day-to-day coordination of APAC new hire onboarding, including logistics, communications, scheduling, and stakeholder coordination across Singapore, India, Australia, and other regional locations. - Draft and send templated communications to new hires and managers, including pre-onboarding emails, Day 1 notes, reminders, travel and logistics guidance, and follow-ups. - Manage calendar invites for onboarding sessions, tech setup, security briefings, leadership sessions, culture programming, and other APAC onboarding activities. - Partner with the APAC IT onboarding team to support device readiness, distribution, and Day 1 setup, ensuring laptops and equipment are prepared and available in time for new hire starts. - Coordinate logistics for in-person onboarding in Singapore, with support for emerging office locations,including room scheduling, facilitator support, materials, AV coordination, and day-of assistance. - Partner with Workplace teams to support Day 1 integration, including badge access, space readiness, office arrival logistics, and a smooth on-site experience for new hires. - Support occasional remote onboarding across the APAC region, ensuring a consistent and high-quality experience regardless of location or time zone. - Maintain and update onboarding pages and resources in tools such as Notion and OpenHouse with accurate APAC session information, dates, regional guidance, office logistics, and materials. - Support facilitators and presenters with session preparation, run-of-show coordination, time zone alignment, and real-time troubleshooting. - Help manage onboarding exceptions, regional nuances, off-cycle starts, and location-specific needs with care, attention to detail, and sound judgment. We’re Seeking - Experience in onboarding coordination, HR operations, or program coordination in a fast-paced, high-growth environment. - Strong organizational and communication skills, with comfort managing multiple timelines, stakeholders, and time zones across APAC. - Proficiency with tools such as Google Calendar, Slack, Notion, Zoom, and related collaboration platforms. - Ability to work independently, anticipate needs, and proactively resolve scheduling, communication, or logistical issues. - Experience supporting global, regional, or cross-functional teams is a strong plus. - Comfort partnering with stakeholders across IT, Workplace, Recruiting, People teams, and regional business leaders to deliver a smooth new hire experience. - Based in Singapore and able to support in-person onboarding activities locally, with coordination support for emerging office locations as needed. 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.
Integrated Marketing Manager - Consumer & Brand, L...
About the Team OpenAI’s LATAM Marketing team helps people understand how AI can benefit their lives and put that value into practice. We connect global product innovation with local consumer needs, culture and behavior across Brazil and Spanish-speaking Latin America, contributing to OpenAI’s mission of ensuring that artificial general intelligence benefits all of humanity. We build the ChatGPT brand through integrated campaigns, creator and social programs, partnerships and cultural experiences. We work with local and global teams to make ChatGPT relevant and useful in people’s everyday lives. About the Role We’re looking for a hands-on Integrated Marketing Manager to lead Consumer and Brand campaigns across LATAM. The role is based in São Paulo and works closely with regional and global teams. You’ll turn consumer and cultural insights into a clear brief and a distinctive creative idea that shows why ChatGPT matters in people’s everyday lives. You’ll lead the work from strategy through production and launch, and build ongoing marketing programs that keep the brand relevant from always on to major campaigns. In this role, you will: - Define the audience, cultural insight, brand objective and role for marketing in each program. - Write clear creative briefs, guide concept development and give actionable feedback to internal creative teams and external partners. - Own integrated consumer campaigns from brief through launch and measurement. Give paid, owned and earned media, social, creators, partnerships and experiences partners distinct roles in bringing the campaign idea to life. - Develop locally originated campaigns and adapt global work for Brazil and other LATAM markets without losing the core brand strategy. - Build and run ongoing consumer marketing programs around cultural moments and everyday needs. Set priorities, clarify who owns the work and use each campaign’s learnings to improve the program over time. - Align local, regional and global partners on the campaign brief, channel roles and the decisions needed to deliver the work. - Work with Creative, Production, Comms, Media and regional teams to make decisions and deliver on time. Partner with Product Marketing and Growth when a campaign depends on product claims or activation. - Set campaign goals and a practical measurement plan up front, then use brand and channel results to improve the next round of work. - Manage campaign resources,external partners, budgets and production dependencies within agreed authority; make clear trade-offs and build forward plans that account for creative lead times and local market conditions. What you bring - 12+ years of technology marketing experience across Brazil and Spanish-speaking LATAM. You’ve led major tech consumer brand campaigns and ongoing integrated marketing programs from brief through results. - Deep knowledge of LATAM consumers, culture and media, and the ability to turn that knowledge into a clear strategic choice. - Strong creative judgment and experience leading the briefing, concept review and production process with internal teams and agencies. - A record of bringing a compelling consumer product idea to life through brand strategy, local insight and distinctive creative work. - Experience developing channel plans across paid, owned and earned media, social, creators, partnerships or experiences. - Comfort defining brand and campaign success, interpreting measurement with specialist partners and turning results into practical decisions. - Experience balancing regional consistency with local nuance, and influencing cross-functional and global teams without relying on formal authority. - A clear record of personal ownership and autonomy: you can set direction, produce high-quality work directly, manage external partners, delivery, and make progress with incomplete inputs and limited resources. - Professional fluency in Portuguese and English. Spanish is a plus. Nice to have - An established network of local creative, media, creator or cultural partners. - Prior experience marketing AI products, genuine curiosity about how people use AI, and enthusiasm for using it in your own daily life. 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.
Global Sales Program Manager (SMB Sales)
About the Role We’re looking for a hands-on sales program manager to build and scale new revenue programs across OpenAI’s global SMB sales teams. Your first focus will be outbound: designing acquisition plays, launching pilots and turning what works into repeatable programs. You’ll combine sales judgment, program management and the ability to drive execution through other teams. Working closely with regional vendor managers, frontline leaders, Enablement, RevOps and product and pricing partners, you’ll bring clarity to what we’re launching, how sellers should execute and how we’ll measure success. In this role, you will: - Build and roll out sales plays: define the audience, targeting, messaging, outreach, qualification and handoff, then work with vendor teams and Enablement to get sellers ready. - Own pilot performance: agree goals and a baseline, review results, diagnose gaps and recommend what to scale, improve or stop. Measure qualified pipeline, conversion and revenue as pilots mature, alongside seller productivity. - Drive execution through teams: coordinate regional vendor managers and vendor leaders, establish clear owners and milestones, and resolve blockers without taking over day-to-day team management. - Bring cross-functional clarity: work with product, pricing, RevOps and Enablement partners to explain changes, assess their impact on programs and translate them into practical seller guidance. - Build with AI for scale: develop repeatable workflows for account research, seller preparation, quality checks and reporting. Validate quality before expanding adoption. - Make successful programs repeatable: document simple playbooks, adapt them across regions and use frontline feedback to keep improving. You might thrive in this role if you have: - 3-6 years directly managing sales programs or leading a sales team in a fast-paced tech, fintech, startup or comparable environment. - Hands-on outbound, SDR or acquisition program experience, with clear examples of what you built, how you measured performance and what improved. - Strong program management: the ability to turn an ambiguous goal into a practical plan, align teams and follow through on delivery. - Commercial and analytical judgment: the ability to diagnose funnel performance and distinguish activity from meaningful pipeline and revenue outcomes. - Confidence working across sales, operations and product partners, bringing clarity to decisions and translating complexity into simple actions. - Practical experience using AI to improve workflows and scale execution while maintaining quality. - Experience managing vendors or outsourced sales teams is a plus, not a requirement. Relevant backgrounds include sales program management, outbound or acquisition leadership, and hands-on sales team management. 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.
Client Partner, Ads Solutions - Retail/E-Commerce
About the team OpenAI’s Sales team partners with advertisers to understand their businesses, develop meaningful advertising solutions, and drive long-term growth on the platform while maintaining strong standards for user trust and platform integrity. About the role This role will focus on growing advertising revenue across Retail & E-commerce, including omnichannel retailers, online marketplaces, direct-to-consumer brands, and specialty retailers. You will own the full sales cycle—from prospecting through deal closure—and build strategic relationships with senior retail and ecommerce decision-makers. You’ll help advertisers connect with audiences as they discover, research, and evaluate products, and develop long-term commercial partnerships that support their business goals. You will work closely with Customer Success Managers and cross-functional partners to ensure successful advertiser outcomes after the sale, while maintaining primary ownership of revenue growth, commercial strategy, and Retail & E-commerce vertical expertise. In this role, you will: - Prospect, qualify, and close new advertising opportunities across the Retail & E-commerce vertical. - Own and achieve a defined revenue target across an assigned portfolio of retail and ecommerce advertisers. - Build relationships with senior advertising, marketing, ecommerce, digital, merchandising, and customer-acquisition leaders, along with their agency partners. - Develop account plans that connect advertiser goals—such as online sales, new-customer acquisition, repeat purchases, and omnichannel growth—to measurable campaign outcomes. - Identify opportunities around seasonal shopping periods, product launches, promotional events, and key category moments. - Build clear business cases that connect media investment to advertiser economics, including return on ad spend, customer acquisition cost, average order value, and customer lifetime value. - Structure and negotiate complex commercial agreements and build long-term advertiser partnerships. - Partner with Customer Success Managers and measurement stakeholders to align campaign objectives, reporting, and test plans, supporting successful launches, renewals, and expansion. - Collaborate with Product, Measurement, Marketing, Policy, and Operations to support complex deals and inform future advertising solutions. - Maintain strong pipeline management, accurate forecasting, and a deep understanding of retail trends, shopping behavior, and the commerce advertising landscape. You might thrive in this role if you: - Have significant experience in digital advertising sales, partnerships, or business development serving retail and ecommerce advertisers. - Have strong relationships with decision-makers across omnichannel retailers, online marketplaces, direct-to-consumer brands, or their agency partners. - Have a proven track record of owning revenue targets and closing complex advertising or commercial deals. - Understand retail and ecommerce customer journeys, seasonality, merchandising priorities, and the relationship between online and in-store experiences. - Can discuss performance metrics, attribution, incrementality, and the tradeoffs between customer acquisition, retention, and profitability. - Can translate advertiser objectives into clear business cases and measurable partnership strategies. - Have strong consultative selling, negotiation, and executive communication skills. - Can navigate complex organizations and collaborate effectively across commercial, technical, and measurement teams. - Can operate effectively in ambiguous, fast-changing environments and are excited to help shape a new advertising platform with high standards for user trust. 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.
Client Partner, Ads Solutions - CPG
About the team OpenAI’s Sales team partners with advertisers to understand their businesses, develop meaningful advertising solutions, and drive long-term growth on the platform while maintaining strong standards for user trust and platform integrity. About the role This role will focus on growing advertising revenue across Consumer Packaged Goods (CPG), including food and beverage, beauty and personal care, household products, and adjacent everyday consumer categories. You will own the full sales cycle—from prospecting through deal closure—and build strategic relationships with senior brand, media, and commerce decision-makers. You’ll help advertisers connect with audiences as they discover and evaluate products, and develop long-term commercial partnerships that support brand growth and commercial outcomes. You will work closely with Customer Success Managers and cross-functional partners to ensure successful advertiser outcomes after the sale, while maintaining primary ownership of revenue growth, commercial strategy, and CPG vertical expertise. In this role, you will: - Prospect, qualify, and close new advertising opportunities across the CPG vertical. - Own and achieve a defined revenue target across an assigned portfolio of CPG advertisers. - Build relationships with senior brand, marketing, media, ecommerce, shopper-marketing, and consumer-insights leaders, along with their agency partners. - Develop account plans that connect advertiser goals—such as brand awareness, consideration, product trial, household penetration, and repeat purchase—to measurable campaign outcomes. - Identify opportunities around product innovation, seasonal demand, cultural moments, and retailer or category priorities. - Build partnerships across brand portfolios, coordinating corporate, category, and individual brand stakeholders to identify opportunities for sustained investment. - Build clear, data-driven business cases and align on measurement approaches that reflect sales through retail partners as well as direct-to-consumer channels. - Structure and negotiate complex commercial agreements, including brand and portfolio-level partnership plans. - Partner with Customer Success Managers and measurement stakeholders to support campaign success, learning agendas, renewals, and expansion. - Collaborate with Product, Measurement, Marketing, Policy, and Operations to inform future advertising solutions, while maintaining strong pipeline management and accurate forecasting. You might thrive in this role if you: - Have significant experience in digital advertising sales, partnerships, or business development serving CPG advertisers. - Have strong relationships with brand, media, commerce, or agency decision-makers across food and beverage, beauty and personal care, household products, or related categories. - Have a proven track record of owning revenue targets and closing complex advertising or commercial deals. - Understand CPG brand-building, category dynamics, retailer relationships, shopper behavior, and omnichannel paths to purchase. - Can connect brand and commercial objectives to measurement approaches such as brand lift, incremental sales, household penetration, and return on advertising investment. - Understand measurement challenges when purchases occur through retail partners and can work with clients to establish appropriate success criteria. - Have experience building partnerships across multiple brands, business units, agencies, and senior stakeholders. - Have strong consultative selling, negotiation, strategic planning, and executive communication skills. - Can operate effectively in ambiguous, fast-changing environments and are excited to help shape a new advertising platform with high standards for user trust. 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.
Lead Product Designer, Mobile (Native & Mobile)
In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. About the role Perplexity is looking for an experienced Lead Product Designer to own iPhone and Android design on our Native & Mobile team. You'll design how Perplexity lives on the device people carry everywhere, and how that device works with everything else they use: their Mac, their Windows PC, their Linux machine, and the agents doing work on their behalf. Native & Mobile is one team covering every platform we build for. Our agents increasingly run for minutes or hours, on your computer or in the cloud, and the phone becomes the place you start that work, follow its progress, step in when it needs you, and pick up the result. You'll design that relationship between devices so it feels like one product, not a set of separate apps. The best mobile work here goes deep on the platform. You'll design experiences that take full advantage of what each device can do: notifications, Live Activities and the Dynamic Island, widgets, voice, Shortcuts and App Intents, share and system extensions, and their Android counterparts. You'll prototype in the real material, on device, using coding agents to turn ideas into working SwiftUI and shipping changes in the codebase alongside engineers. The role is deeply cross-functional. You'll partner closely with iOS, Android, and desktop engineers, product, and fellow designers across the org, and you care about everything that makes a product great: product thinking, interaction, visual craft, copywriting, and engineering. What you'll do - Lead product design for our iPhone and Android apps, from early concept through polished, shipped detail - Design how the phone works alongside our desktop apps on macOS, Windows, and Linux, so people can start, monitor, steer, and hand off work across devices without friction - Design for agents that work in the background: progress you can glance at, interruptions that respect attention, and clear moments when a person needs to approve, answer, or take over - Make deep use of native platform capabilities, including notifications, Live Activities, widgets, voice, system intents, and extensions, so Perplexity feels built for each device rather than ported to it - Design trust into the product: permissions, approvals, and privacy flows that are clear and honest, and that keep people in control when an agent acts on their behalf - Prototype on device early and often, using real code to answer questions static mocks can't - Use coding agents to build in the production codebase and put up your own PRs, working alongside engineers to close the gap between the design and what ships - Keep patterns consistent across iOS, Android, and desktop while respecting each platform's conventions - Explore what new platform capabilities, input methods, and form factors make possible - Think about how to go from 0→1, and about how your decisions scale as the product grows - Contribute to process so we're always shipping changes you're proud of, as often as possible What we're looking for - A strong track record of shipping native mobile apps for consumer or prosumer products - Deep fluency in iOS: platform conventions, navigation patterns, gestures, system components, and what's new each year - Working knowledge of Android and Material conventions, and the judgment to know when a design should adapt across platforms and when it should stay the same - Experience designing products that span multiple devices, or that integrate deeply with operating system features - Excellent interaction, visual, and motion skills, with a sharp eye for detail at small sizes and in glanceable moments - Comfort building with coding agents (Claude Code, Codex, Cursor, or similar) to prototype on device and land changes in a production codebase. You don't need to be an engineer, but you know enough about SwiftUI and Xcode to direct the work, review what it produces, and know when it's right - Systems thinking: you can turn complex, technical, or asynchronous behavior into something simple and understandable - An excellent communicator who can tell a clear story about design rationale to team members and leadership - You care about shipping great software more than anything else - Comfort with a high level of autonomy and ambiguity, and the craft to be seen as a peer lead by the rest of the design team - 5+ years of industry experience Nice to have - Experience designing for Android or working in Jetpack Compose - Experience designing for macOS, Windows, or other desktop platforms - Experience designing for AI agents, automation, developer tools, or products where software acts on a person's behalf - Shipped work with Live Activities, widgets, App Intents, watchOS, or other system-level surfaces - You've already been exploring or prototyping interactions for new form factors, like foldables Notes for candidates - Please submit your portfolio with your application.
Senior Manager, Accounts Payable - Payments
About the Team OpenAI’s Procurement team makes working with the world easy, fast, and safe. We connect supplier readiness, purchasing, invoicing, and payment so teams can move with confidence as OpenAI scales. Accounts Payable provides the trusted data, dependable execution, and financial discipline behind that experience. About the Role We’re looking for an Accounts Payable Senior Manager to own and scale supplier payment operations. You’ll be responsible for accurate, timely payments, strong controls, and dependable service as OpenAI grows. This is a hands-on leadership role. You’ll review and approve supplier payment runs, oversee work initiated by our BPO teams and AP agents, as well as personally resolve complex exceptions. You’ll stay close to execution during volume spikes and month-end close while building the processes, coverage, and systems the team needs to scale. You’ll partner with Procurement, Supplier Master Data Operations, Accounting, Treasury, Tax, Finance Systems, and existing AP processing teams to make payments reliable from payment readiness through settlement reconciliation. You’ll clarify handoffs, address recurring failures, and improve ERP, banking, and procurement workflows. You’ll also apply automation and AI where they improve accuracy, service, or team capacity, with appropriate controls and human review. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office (Mon-Wed) per week and we offer relocation assistance to new employees. We’re looking for someone with: - Strategic AP leadership and a hands-on approach to scaling systems and processes, with strong attention to detail. - Demonstrated ownership of complex indirect AP and supplier-payment operations, including PO and non-PO workflows. - Experience leading teams or outsourced delivery partners, setting expectations, developing capability, and managing performance. - Strong payment-control judgment and experience investigating duplicates, bank-detail changes, and payment failures. - Working depth in AP accounting, reconciliations, accrual inputs, and close coordination. - Experience translating AP needs into ERP or procurement-system improvements with measurable results. - Clear communication and the ability to influence partners and senior stakeholders in ambiguous situations. In this role, you will: - Own supplier payment operations: Review and approve payment runs for supplier and payment data accuracy, required approvals, and exception resolution. Oversee manual disbursements and payment inquiries within established authority and segregation-of-duties requirements. - Resolve complex exceptions: Act as the primary escalation point for payment holds, rejected or returned payments, potential duplicates, and close blockers. Work with Treasury, banking partners, Accounting, and AP processing teams to establish the status, resolve the cause, and verify the outcome before retrying or closing an issue. - Strengthen payment readiness: Partner with Procurement and existing AP teams to resolve invoice, PO, approval, and supplier-data gaps that affect payment. Establish clear owners and follow through on recurring upstream issues. - Support forecasting and close: Provide reliable payment forecasts and cash-needs inputs to Treasury. Reconcile payment activity and exceptions, including payments after AP close, so Accounting has the evidence it needs for close and cutoff decisions. - Maintain effective controls: Uphold SOX-aligned approvals, independent supplier bank-detail verification, segregation of duties, and audit-ready documentation. Support internal and external audits and remediate control gaps with the relevant owners. - Improve systems and processes: Define payment workflow and reporting requirements with Finance Systems and other partners. Test ERP and bank integrations, including host-to-host workflows, and introduce automation or AI with validated outputs, exception handling, and clear accountability. - Lead BPO delivery and capacity: Set clear SLAs and KPIs, review quality and performance, coach service partners, and maintain documented procedures and backup coverage. Plan for volume spikes and close demands. - Report performance and risk: Own clear reporting on payment timeliness, exceptions, rejection and return trends, forecast accuracy, service quality, and control issues. Explain priorities and progress to stakeholders and leadership. You might thrive in this role if you: - Bring 8+ years in AP, payments, or related finance operations, or equivalent experience, with personal ownership of complex supplier-payment operations and material exceptions. - Have worked across indirect supplier spend in a high-growth or scaling environment, balancing immediate delivery with durable process improvements. - Understand how invoices, approvals, supplier records, payment instructions, bank status, settlement, and reconciliation fit together, and can investigate discrepancies across them. - Bring a strong controls mindset aligned to SOX, including practical judgment on bank-detail changes, duplicate prevention, segregation of duties, reconciliation, and close support. - Have designed or improved ERP/AP payment workflows and bank integrations, including host-to-host automation, with tested controls and measurable results. - Have led teams or BPO partners through clear expectations, coaching, capacity planning, and sustained improvements in service and quality. - Communicate clearly with suppliers, business stakeholders, and senior leaders, and can resolve issues across teams without losing ownership. - Are willing to work directly in payment queues, investigate failures, and support close when needed. - Experience with Oracle Fusion, Zip, or comparable integrated finance systems, and practical use of AI in controlled finance workflows, would be helpful. 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.
Client Partner, Ads Solutions - Technology
About the team OpenAI’s Sales team partners with advertisers to understand their businesses, develop meaningful advertising solutions, and drive long-term growth on the platform while maintaining strong standards for user trust and platform integrity. About the role This role will focus on growing advertising revenue across Technology, including enterprise and SMB software, SaaS platforms, consumer applications, and technology products and services. You will own the full sales cycle—from prospecting through deal closure—and build strategic relationships with marketing and growth leaders at technology advertisers. You’ll help advertisers reach relevant audiences throughout research, evaluation, and purchase journeys, and develop long-term commercial partnerships that support their business goals. You will work closely with Customer Success Managers and cross-functional partners to ensure successful advertiser outcomes after the sale, while maintaining primary ownership of revenue growth, commercial strategy, and Technology vertical expertise. In this role, you will: - Prospect, qualify, and close new advertising opportunities across the Technology vertical. - Own and achieve a defined revenue target across an assigned portfolio of software and technology advertisers. - Build relationships with senior marketing, growth, demand-generation, product-marketing, and digital leaders, along with their agency partners. - Develop account plans that connect advertiser goals—such as awareness, qualified demand, trial adoption, paid subscriptions, and customer acquisition—to measurable campaign outcomes. - Adapt partnership strategies to distinct business models, including enterprise sales, self-service subscriptions, product-led growth, and consumer applications. - Identify opportunities around product launches, category expansion, buying cycles, and priority customer segments. - Build clear business cases that connect advertising investment to qualified pipeline, customer acquisition cost, conversion, retention, and customer lifetime value. - Structure and negotiate complex commercial agreements, coordinating with advertiser stakeholders across marketing, analytics, finance, and procurement. - Partner with Customer Success Managers and measurement stakeholders to align objectives and reporting across longer consideration cycles and multiple conversion events. - Collaborate with Product, Measurement, Marketing, Policy, and Operations to inform advertising solutions, while maintaining strong pipeline management and accurate forecasting. You might thrive in this role if you: - Have significant experience in digital advertising sales, partnerships, or business development serving software and technology advertisers. - Have strong relationships with marketing and growth decision-makers across software companies, technology platforms, consumer applications, or their agency partners. - Have a proven track record of owning revenue targets and closing complex advertising or commercial deals. - Understand B2B and B2C technology buying journeys, including enterprise evaluation cycles, self-service conversion, and subscription business models. - Can connect advertiser objectives to metrics such as qualified pipeline, trial-to-paid conversion, customer acquisition cost, retention, and customer lifetime value. - Understand attribution and measurement challenges across multiple stakeholders, conversion events, and extended sales cycles. - Can translate complex products and advertiser priorities into clear, persuasive commercial strategies. - Have strong consultative selling, negotiation, and executive communication skills, with experience navigating matrixed organizations. - Can operate effectively in ambiguous, fast-changing environments and are excited to help shape a new advertising platform with high standards for user trust. 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.
Business Platform Engineer
About the Team Enterprise Platform Engineering builds products and capabilities that improve enterprise workflows, partnering closely with engineering, functional teams, and system owners. About the Role As a Business Platform Engineer, you will translate business problems into reliable software and workflows. You will move between requirements, architecture, implementation, testing, rollout, and operational ownership, using functional expertise to deliver measurable outcomes. Workplace & Location San Francisco In this role, you will: - Translate business workflows into requirements, process and data definitions, exception handling, and acceptance criteria. - Build services, APIs, integrations, data flows, and automation with maintainable code and meaningful tests. - Own delivery from design and implementation through validation, deployment, support, and continuous improvement. - Design permissions, approvals, auditability, retries, idempotency, reconciliation, and recovery appropriate to the workflow. - Partner with business and system owners on prioritization, operational readiness, and adoption. - Measure reliability, quality, cycle time, and user outcomes; turn successful solutions into reusable capabilities. You might thrive in this role if you: - Have demonstrated experience building and operating software that solves business problems. - Bring functional understanding of finance, procurement, accounting, or adjacent enterprise workflows, and can learn an unfamiliar domain. - Can write and debug code and reason about APIs, integrations, data models, and system boundaries. - Understand controls, failure modes, testing, and reliable production operation. - Can structure ambiguous problems and turn them into practical increments with clear tradeoffs. - Communicate clearly across engineering and business teams and follow through on delivery and adoption. Preferred signals - Experience turning specialist knowledge into reusable tools, data products, or workflow capabilities. - Practical AI-assisted workflow experience with evaluation, human review, monitoring, and controlled actions. - Evidence of enabling others to adopt a capability and measuring the resulting improvement. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Strategic Account Executive, Global Governm...
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. Senior Strategic Account Executive, Global Governments You'll own a named portfolio of international governments, working across their ministries and national agencies. You'll be their accountable SpaceXSI lead from the first conversation through contract, deployment, adoption and expansion. You won't hand off at signature. You'll stay responsible for whether the customer gets the outcome they bought. Because SpaceXSI is part of SpaceX, you'll work with Starlink and other SpaceX teams on joint pursuits, especially for customers with sovereignty, remote-location or limited-connectivity needs. RESPONSIBILITIES: - Build your own pipeline and lead the full sales cycle. Plan each account, create new opportunities, lead discovery, shape the pursuit strategy for tenders and direct awards, structure commercial terms, negotiate and close. - Stay accountable after signature. Lead the customer relationship through deployment with our delivery and technical teams, track milestones, adoption and risks, and turn early results into expansion. - Find high-value use cases. Work with senior officials, operators and technical teams to find where AI creates measurable public value, and be candid about what the models can and can't do. - Run joint pursuits with SpaceX. Partner with Starlink and other SpaceX teams on joint offers, with one coordinated account strategy. - Lead partners and manage reviews. Bring in systems integrators, local partners and resellers for teaming, framework agreements, tenders and deployment, and work through security accreditation, data-residency, sovereignty and regulatory reviews with Legal, Security, Policy and Finance. - Keep forecast and pipeline accurate, and bring field insight back to Product and Engineering. BASIC QUALIFICATIONS: - Experience personally leading at least one complex, multi-stakeholder public-sector deal from discovery to close - Experience selling to or advising senior government officials (agency head, deputy minister or equivalent) PREFERRED SKILLS AND EXPERIENCE: - Created at least one complex public-sector opportunity yourself, rather than inheriting it or receiving it from a partner - Direct commercial or business-development experience (such as a sales quota, partnership deals or competitive bids), especially if your background is mainly in government, diplomacy or national security - Cross-border deals, and working knowledge of public-sector procurement, data residency, sovereignty and compliance in more than one country - Ownership after signature, including deployment, adoption and at least one expansion - Experience leading systems integrators, resellers or local partners on joint pursuits - Enough fluency in AI and enterprise technology to explain capabilities, limits and responsible-use trade-offs - Clear writing and sound judgment when things are ambiguous - Relationships across foreign affairs ministries, regional bodies, or defense and security communities - Experience in AI and machine learning, cloud, data platforms, satellite communications or public-sector digital transformation - Experience taking a deployment with strict security or data-residency requirements from discovery to production - Professional fluency in Spanish, Portuguese, Arabic or French ADDITIONAL REQUIREMENTS: - Must be willing to travel internationally approximately 30% of the time. COMPENSATION AND BENEFITS: The expected annual base salary range for this role is $175,000 - $200,000. This role is also eligible for sales commissions or bonuses, with an annual on-target earnings (OTE) range of 350,000 - $400,000. OTE includes base salary plus target incentive compensation, assuming 100% achievement of applicable performance targets. Actual incentive earnings depend on performance and the terms of the applicable plan. Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
Head of Marketing Operations
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and our enterprise marketing programs bring in thousands more leads. We've grown this far without a marketing automation platform or a dedicated Marketing Operations team. We're ready to build both. We're hiring our first Head of Marketing Operations. You'll choose and implement our first marketing automation platform. You'll own how every marketing and product lead is enriched, scored and routed. And you'll build the campaign operations, attribution and reporting that connect our B2B and enterprise marketing to pipeline and revenue. You'll report to the Head of Revenue Operations and build a team. Your first direct report is a GTM Engineer, who builds our enrichment, scoring and routing systems in code. You set the definitions, strategy and priorities for that work, and the GTM Engineer is your force multiplier for delivering it. Tech stack: Salesforce | Snowflake | dbt | Clay | Marketing automation (you'll choose it) | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | Computer 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. What you'll do - Build and lead the Marketing Operations team. Manage the GTM Engineer from day one, set the team's roadmap, and hire the next roles as the function grows. Stay hands-on while the team is small. - Select and implement our marketing automation platform. Run the evaluation across established and AI-native platforms, covering requirements, integrations, security, scale and total cost. Then lead the rollout: the data model, the Salesforce sync, lifecycle stages, program templates, permissions and the migration of our existing B2B email programs. - Own the lead lifecycle. Define lifecycle stages, qualification criteria, handoff SLAs and recycle rules with Marketing and Sales leadership. Make sure they are enforced the same way in the marketing automation platform and in Salesforce. - Own enrichment, scoring and routing. You are accountable for every lead being complete, accurately scored on fit, intent and product usage, and sent to nurture or to a BDR, AE or Account Manager within SLA. The GTM Engineer builds and runs these systems. You direct the work, supply marketing engagement signals to the scoring model, and answer to Sales and Marketing for the results. - Own or co-own the prospecting tools our BDRs use. Lead the implementation and evolution of these tools, which will be a combination of internally built applications and vendor solutions. Work with BDR leadership to set requirements, decide what to build and what to buy, drive adoption, and measure the impact on meetings and pipeline. The GTM Engineer delivers the internal builds and the integrations with vendor tools. - Stand up account-based marketing and sales as a motion. Work with Sales and Marketing leadership to select and tier target accounts by fit, intent and product usage, and set the level of investment for each tier, from one-to-one plans for strategic accounts to scaled programs for the broader list. Map the buying group at each account and roll individual engagement up to an account-level score that tells BDRs and AEs when to act. Design the coordinated plays that Marketing, BDRs and AEs run together across email, ads, events and outbound, with clear triggers, owners and follow-up SLAs. Measure the program by account: buying-group coverage, engagement, meetings, pipeline and win rate against comparable non-target accounts. The GTM Engineer builds the account scoring, signals and orchestration behind these plays. - Run nurture and campaign operations for B2B and enterprise marketing. Build the nurture tracks that leads enter when they aren't ready for sales, including entry and exit rules. Set up a repeatable way to build, test and launch email, webinar, event, paid and account-based programs. Keep a clean Salesforce campaign structure so every program rolls up correctly. - Own attribution and marketing reporting. Build the tracking and lead source model, define how we measure pipeline that marketing sourced and influenced, and own the dashboards and weekly funnel review that leadership uses. Marketing and Revenue Operations should report the same numbers. - Protect data quality, consent and deliverability. Own consent, preferences and suppression for B2B and enterprise marketing email under GDPR, CCPA and CAN-SPAM. Own sending-domain health and inbox placement for that email. The Growth team owns product and consumer lifecycle messaging, so agree shared rules with them on contact frequency, suppression and sending domains. - Partner with Growth on web conversion. Growth owns the website, sign-up flows and in-product surfaces. You own what happens to a B2B lead after capture: form field standards, tracking parameters, consent capture, and a clean handoff into the marketing automation platform and Salesforce. - Own the marketing technology stack and its budget. Evaluate vendors, manage renewals, add what the team needs and retire what it has outgrown. - Set the operating rhythm. Run intake and prioritization for marketing operations requests, document every system, and train marketers and sellers on how to use what you build. - Use AI to do more with a small team. Use Computer and other AI tools to automate campaign builds, data cleanup, reporting and lifecycle workflows. What success looks like In your first 30 days: - Audit how leads are captured, enriched, scored, routed and emailed today, and document the gaps. - Write the requirements for the marketing automation platform and start the evaluation. - Agree with Growth on who owns which messages, audiences and sending domains. In your first 60 days: - Select the platform and start implementation with a clear rollout plan. - Publish agreed lifecycle stage definitions and handoff SLAs. - Set the GTM Engineer's priorities for enrichment, scoring and routing, and publish a baseline funnel report. In your first 120 days: - Take the platform live with a reliable Salesforce sync, consent and preference management, and the first nurture programs running. - Have scoring and routing meet the agreed speed-to-lead SLA. - Deliver a first attribution model that Marketing, Sales and Finance all use. In your first 6 months: - Build the team beyond the GTM Engineer, based on a hiring plan you've made the case for. - Show a measurable lift in lead-to-meeting and meeting-to-opportunity conversion. - Report marketing-sourced and marketing-influenced pipeline as one trusted number in company planning. Qualifications - 8+ years in marketing operations or revenue operations at a B2B SaaS company, including 2+ years managing people. - Experience at a company with a large consumer user base alongside an enterprise business, coordinating with a product lifecycle or growth team. - You've led the selection and implementation of a marketing automation platform from scratch, or a full migration, including the Salesforce sync. - Deep, hands-on expertise in at least one major platform, such as HubSpot or Marketo. You can still build in it yourself. - You've designed, shipped and measured a lead scoring and routing model, with a lifecycle and SLAs that Sales followed. - You've built attribution and pipeline reporting that Sales and Finance used to make decisions. - Experience directing technical builders, such as GTM engineers, systems engineers or analysts. You can scope technical work, set priorities and judge the result. - Working knowledge of the Salesforce data model (leads, contacts, accounts, opportunities, campaigns) and enough SQL to trace a record across systems. - Working knowledge of consent and privacy rules (GDPR, CCPA, CAN-SPAM) and email deliverability (SPF, DKIM, DMARC, list hygiene). - Clear communicator. You explain systems and data to executives without jargon, and turn business requests into requirements. - Builder mindset. You're comfortable being the first hire in a function and creating structure where none exists. Nice to have - Experience in a hybrid product-led and sales-led motion, including product-qualified leads and mapping users to accounts. - Experience with a warehouse-first stack: Snowflake, dbt, reverse ETL and Clay. - Experience deploying AI-native marketing tools or agents in production. - Experience running event and webinar operations, including lead capture and follow-up. - Experience building a marketing operations team from the first hire.
Product Designer, Physical Engineering
About the Team The Physical Engineering team sits within OpenAI’s Enterprise Verticals organization. We’re exploring how frontier AI can help people design, simulate, and build better physical products - shortening development cycles, improving product performance, and expanding what engineering teams can accomplish. We’re building experiences within ChatGPT and integrations with tools such as CAD, eCAD, CAE, and simulation software to support engineers from early concepts through design, validation, and preparation for production. We operate as a small founding team, working directly with customers and closely with research, product, data science, and forward-deployed engineering. We learn by building, putting products in users’ hands, and using their feedback to guide what comes next. About the Role We’re looking for a highly autonomous Product Designer to become the first dedicated designer on the Physical Engineering team. You’ll help define this product area from its earliest stages - shaping what we build, how it works, and how design operates within the team. This is a hands-on, zero-to-one role for someone with a founder’s mindset. You’ll work deeply with engineers and customers to understand complex technical workflows, identify valuable opportunities, and turn emerging AI capabilities into intuitive, trustworthy products. You’ll move between product strategy, interaction design, prototyping, research, and detailed execution, often making decisions with incomplete information. While your initial focus may be Physical Engineering, your work could extend across Enterprise Verticals as the design function grows. You’ll help establish reusable patterns and a high bar for craft across specialized AI products. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role, you will: - Define the product and design vision for AI-powered physical-engineering experiences. - Lead design from customer discovery and early prototyping through detailed execution, launch, and iteration. - Create intuitive interfaces that help engineers understand, inspect, and refine complex designs, simulations, and model outputs. - Work directly with mechanical, electrical, and other physical engineers to understand their tools, constraints, and workflows. - Partner closely with product, engineering, research, data science, and forward-deployed teams to translate emerging AI capabilities into practical products. - Prototype new interaction models for visual, spatial, and technically complex work. - Balance speed and exploration with a high bar for interaction design, visual craft, reliability, and user trust. - Establish foundational design patterns and practices that can scale across Physical Engineering and other enterprise verticals. - Operate independently, identify the highest-leverage opportunities, and bring clarity to an exceptionally early and ambiguous product space. You might thrive in this role if you: - Have independently led substantial zero-to-one products from early exploration through launch. - Bring exceptional product judgment, interaction design, and visual craft to complex professional software. - Are highly autonomous and comfortable defining both the problem and the path forward. - Think and operate like a founder: learning quickly, making pragmatic decisions, and remaining accountable for outcomes. - Enjoy working directly with highly technical users and translating specialized workflows into clear product experiences. - Can move fluidly between long-term vision, systems thinking, rapid prototyping, and detailed execution. - Build alignment through compelling prototypes, clear narratives, and close cross-functional collaboration. - Are energized by unfamiliar domains and can develop enough technical depth to make thoughtful design decisions. - Want to help establish the design culture and foundations of a new team. Particularly relevant experience includes: - Designing CAD, CAE, eCAD, simulation, chip-design, manufacturing, or other engineering software. - Building interactive tools for visual, spatial, data-intensive, or technically complex workflows. - Designing professional or enterprise products that integrate with established tools and systems. - Working as a founding designer, early startup designer, or first designer within a new product area. - Designing AI-powered products and evaluating whether their outputs are understandable, useful, and reliable. 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.
Partnerships Director, BCG EMEA
About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work cross-functionally across Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and Customer Success to translate strategic partnerships into measurable outcomes for customers. Global consulting and technology partners help enterprises move from AI strategy to production deployment. This role will lead OpenAI’s partnership with BCG across Europe, the Middle East, and Africa (EMEA), bringing together BCG’s industry, consulting, technology, and delivery expertise with OpenAI’s products and capabilities. You will turn the global alliance strategy into a focused EMEA business plan and repeatable field execution that delivers customer and commercial impact. About the Role The Partner Director, BCG EMEA will lead OpenAI’s partner business with BCG across the region. You will own the EMEA joint business plan, build executive alignment, and activate BCG and OpenAI field teams to generate qualified pipeline, win strategic opportunities, and drive successful production adoption. You will align regional priorities and execution with the global BCG alliance strategy. This is a strategic and hands-on leadership role. You will connect senior executive engagement with joint account planning, co-selling, solution and delivery alignment, field enablement, governance, and day-to-day execution. Success requires a strong understanding of how a large, matrixed professional-services organisation operates, commercial discipline, technical fluency, and the ability to align teams without formal authority. The ideal candidate has led a high-impact partnership with strategic partners, built measurable pipeline and customer outcomes across EMEA, and knows how to turn alliance strategy into account-level execution and successful deployments. In this role, you will: - Own the EMEA partnership with BCG, including regional strategy, executive alignment, joint planning, pipeline growth, customer outcomes, delivery quality, and long-term expansion, in alignment with the global alliance. - Develop and execute an EMEA joint business plan with clear account and industry priorities, investments, decision rights, milestones, and measures of success. - Build trusted relationships with BCG’s EMEA leadership, industry and functional leaders, alliance teams, client account leaders, sales organizations, architects, and delivery leaders, while staying aligned with global stakeholders. - Translate executive priorities into repeatable field execution spanning account mapping, opportunity qualification, co-selling, solution development, technical engagement, delivery handoffs, and escalation. - Shape joint solutions and industry plays that combine OpenAI products and capabilities with BCG’s consulting, technology, data, security, governance, and delivery strengths. - Lead joint account planning and strategic customer pursuits with BCG and OpenAI field teams across EMEA, with particular focus on complex and regulated enterprises. - Create a clear engagement model for OpenAI sellers and technical teams, including when to involve BCG, how opportunities are qualified, who owns each step, and how channel conflict is resolved. - Partner with Product, Engineering, Solutions, Security, Legal, Finance, and Commercial teams to support complex customer engagements and remove technical, contractual, compliance, and operational blockers. - Build BCG’s EMEA field and delivery readiness through executive sponsorship, sales enablement, technical training, reusable solution patterns, and disciplined delivery handoffs. - Establish regional governance across executive business reviews, pipeline inspection, forecasting, milestone tracking, performance reporting, and escalation, connected to the global alliance operating model. - Set and monitor EMEA partnership KPIs, including qualified pipeline, conversion, production adoption, customer value, partner readiness, delivery quality, and return on OpenAI investment. - Prioritise OpenAI resources for EMEA opportunities with the greatest strategic value, commercial potential, customer impact, delivery readiness, and repeatability. - Represent OpenAI in senior partner, customer, and industry engagements with clarity, sound judgment, and strong executive presence. - Build the regional operating model and identify the team capacity needed to scale the BCG partnership across EMEA. You might thrive in this role if you have: - Significant experience leading strategic alliances, GSI, or advisory partnerships, ecosystem sales, business development, or enterprise go-to-market programs in AI, cloud, data, SaaS, or enterprise technology. - Direct experience working with BCG and deep familiarity with its EMEA organization, incentives, decision-making networks, commercial model, industry and functional practices, and enterprise delivery motions. - A proven record of leading a multi-year partnership or regional alliance business with measurable pipeline, revenue, adoption, deployment, or customer outcomes. - Experience designing and scaling joint operating models across large, matrixed organisations, including governance, account planning, incentives, staffing, delivery handoffs, and escalation. - Demonstrated success shaping and advancing complex C-suite enterprise transformation opportunities from strategy through production deployment. - Strong executive presence and the ability to build credibility with senior BCG and customer leaders while remaining close to operating details. - Commercial judgment and experience prioritizing investments, qualifying opportunities, managing forecasts, and making clear tradeoffs. - Technical fluency across enterprise AI, cloud environments, data platforms, security, governance, risk, and modern application architectures. - Strong cross-functional leadership and the ability to align Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, and Operations without direct authority. - Experience building partner enablement, joint solutions, industry plays, and scalable field engagement models across EMEA. - Comfort operating in ambiguity and creating structure, accountability, and momentum in a rapidly evolving market. - Excellent written and verbal communication, negotiation, and executive presentation skills. - A builder mindset, high ownership, low ego, and a consistent focus on customer value and responsible AI adoption. What success looks like: - OpenAI and BCG have a clear EMEA growth strategy, differentiated joint value proposition, executive governance model, and measurable business plan aligned with the global alliance. - BCG and OpenAI field teams across EMEA know when and how to engage one another, and qualified opportunities progress through a consistent co-sell and delivery motion. - The EMEA partnership generates qualified pipeline and converts priority opportunities into secure, successful production deployments with demonstrable customer value. - Joint solution patterns and industry plays become repeatable rather than remaining bespoke. - OpenAI resources are allocated transparently toward the highest-impact opportunities. - BCG’s EMEA teams demonstrate growing readiness and accountability across selling, architecture, implementation, and customer success. - The EMEA partnership earns sustained executive sponsorship and delivers measurable year-over-year growth. 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.
Partner Director, IBM North America
About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work cross-functionally across Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and Customer Success to translate strategic partnerships into measurable outcomes for customers. Global systems integrators and technology services partners help enterprises move from AI strategy to production deployment. This role will lead OpenAI’s co-sell initiatives with IBM across North America, bringing together IBM’s consulting, technology, industry, and delivery capabilities with OpenAI’s products and platform. You will turn the global partnership strategy into a focused North America sales plan and repeatable field execution that delivers customer and commercial impact. About the Role We are hiring a Partner Sales Director to own IBM’s North America co-sell execution and measurable contribution to OpenAI growth. You will translate the global IBM partnership strategy into a prioritized regional business plan, activate IBM and OpenAI account teams, and drive qualified pipeline, closed business and sustained production adoption in partnership with sales, technical and delivery leaders. The role owns North America account prioritization, field activation, pursuit orchestration and partner forecasting within the global plan. Global partnership strategy, cross-region programs and commercial frameworks remain with global leadership; customer account ownership remains with the relevant OpenAI sales teams. This is a strategic and hands-on leadership role. You will connect senior executive engagement with joint account planning, co-selling, solution and delivery alignment, field enablement, governance, and day-to-day execution. Success requires a strong understanding of how a large, matrixed services and technology organization operates, commercial discipline, technical fluency, and the ability to align teams without formal authority. The ideal candidate has led a high-impact partnership with IBM, built measurable pipeline and customer outcomes across North America, and knows how to turn partnership GTM strategy into account-level execution and successful deployments. In this role, you will: - Own North America partner sales and GTM with IBM, including regional strategy, executive alignment, joint planning, pipeline growth, customer outcomes, delivery-readiness coordination and escalation, and long-term expansion, in alignment with the global alliance. - Develop and execute a North America joint business plan with clear account and industry priorities, investments, decision rights, milestones, and measures of success. - Build trusted relationships across IBM Consulting, IBM Technology, North America industry and regional leadership, alliance teams, client account leaders, sales organizations, architects, and delivery leaders, while staying aligned with global stakeholders. - Translate executive priorities into repeatable field execution spanning account mapping, opportunity qualification, co-selling, solution development, technical engagement, delivery handoffs, and escalation. - Shape joint solutions and industry plays that combine OpenAI capabilities with IBM’s consulting, technology, hybrid cloud, data, security, governance, and delivery strengths. - Lead joint account planning and strategic customer pursuits with IBM and OpenAI field teams across North America, with particular focus on complex and regulated enterprises. - Create a clear engagement model for OpenAI sellers and technical teams, including when to involve IBM, how opportunities are qualified, who owns each step, and how channel conflict is resolved. - Partner with Product, Engineering, Solutions, Security, Legal, Finance, and Commercial teams to support complex customer engagements and remove technical, contractual, compliance, and operational blockers. - Build IBM’s North America field and delivery readiness through executive sponsorship, sales enablement, technical training, reusable solution patterns, and disciplined delivery handoffs. - Establish regional governance across executive business reviews, pipeline inspection, forecasting, milestone tracking, performance reporting, and escalation, connected to the global alliance operating model. - Own and track agreed North America commercial targets across qualified partner-sourced and co-sell pipeline, conversion to closed business, OpenAI revenue or consumption, and production adoption, with clear attribution and no double counting. - Align resource priorities with OpenAI sales and technical leaders for North America opportunities with the greatest strategic value, commercial potential, customer impact, delivery readiness, and repeatability. - Represent OpenAI in senior partner, customer, and industry engagements with clarity, sound judgment, and strong executive presence. - Build the regional operating model and identify the team capacity needed to scale the IBM partnership across North America. You might thrive in this role if you have: - Significant experience leading strategic alliances, GSI, or advisory partnerships, ecosystem sales, business development, or enterprise go-to-market programs in AI, cloud, data, SaaS, or enterprise technology. - Direct experience working with IBM and deep familiarity with its North America organization, consulting and technology businesses, incentives, decision-making networks, commercial model, and enterprise delivery motions. - A proven record of turning a strategic partnership into a qualified pipeline, closed business and production adoption, with clear evidence of your contribution to the commercial results. - Experience designing and scaling joint operating models across large, matrixed organizations, including governance, account planning, incentives, staffing, delivery handoffs, and escalation. - Demonstrated success shaping and advancing complex C-suite enterprise transformation opportunities from strategy through production deployment. - Strong executive presence and the ability to build credibility with senior IBM and customer leaders while remaining close to operating details. - Commercial judgment and experience prioritizing investments, qualifying opportunities, managing forecasts, and making clear tradeoffs. - Technical fluency across enterprise AI, cloud and hybrid environments, data platforms, integration, security, governance, risk, and modern application architectures. - Strong cross-functional leadership and the ability to align Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, and Operations without direct authority. - Experience building partner enablement, joint solutions, industry plays, and scalable field engagement models across North America. - Comfort operating in ambiguity and creating structure, accountability, and momentum in a rapidly evolving market. - Excellent written and verbal communication, negotiation, and executive presentation skills. - A builder mindset, high ownership, low ego, and a consistent focus on customer value and responsible AI adoption. What success looks like - OpenAI and IBM have a clear North America growth strategy, differentiated joint value proposition, executive governance model, and measurable business plan aligned with the global alliance. - IBM and OpenAI field teams across North America know when and how to engage one another, and qualified opportunities progress through a consistent co-sell and delivery motion. - The North America partnership generates qualified pipeline and converts priority opportunities into secure, successful production deployments with demonstrable customer value. - Joint solution patterns and industry plays become repeatable rather than remaining bespoke. - OpenAI resources are allocated transparently toward the highest-impact opportunities. - IBM’s North America teams demonstrate growing readiness and accountability across selling, architecture, implementation, and customer success. - The North America partnership earns sustained executive sponsorship and delivers measurable year-over-year growth. 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.
Partner Director, EY North America
About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work cross-functionally across Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and Customer Success to translate strategic partnerships into measurable outcomes for customers. Global advisory and consulting partners help enterprises move from AI strategy to production deployment. This role will lead OpenAI’s partnership with EY across North America, bringing together EY’s industry, business transformation, technology consulting, and delivery expertise with OpenAI’s products and capabilities. You will turn the global alliance strategy into a focused North America business plan and repeatable field execution that delivers customer and commercial impact. About the Role We are hiring a Partner Director, EY North America to lead OpenAI’s partner business with EY across the region. You will own North America joint business plan, build executive alignment, and activate EY and OpenAI field teams to generate qualified pipeline, win strategic opportunities, and drive successful production adoption. You will align regional priorities and execution with the global EY alliance strategy. This is a strategic and hands-on leadership role. You will connect senior executive engagement with joint account planning, co-selling, solution and delivery alignment, field enablement, governance, and day-to-day execution. Success requires a strong understanding of how a large, partner-led professional services organization operates, commercial discipline, technical fluency, and the ability to align teams without formal authority. The ideal candidate has led a high-impact partnership with EY, built measurable pipeline and customer outcomes across North America, and knows how to turn alliance strategy into account-level execution and successful deployments. In this role, you will: - Own North America partnership with EY, including regional strategy, executive alignment, joint planning, pipeline growth, customer outcomes, delivery quality, and long-term expansion, in alignment with the global alliance. - Develop and execute a North America joint business plan with clear account and industry priorities, investments, decision rights, milestones, and measures of success. - Build trusted relationships with EY’s North America leadership, senior partners, industry and consulting practice leaders, alliance teams, client account leaders, technical teams, and delivery leaders, while staying aligned with global stakeholders. - Translate executive priorities into repeatable field execution spanning account mapping, opportunity qualification, co-selling, solution development, technical engagement, delivery handoffs, and escalation. - Shape joint solutions and industry plays that combine OpenAI products and capabilities with EY’s business transformation, technology consulting, data, risk, governance, and delivery strengths. - Lead joint account planning and strategic customer pursuits with EY and OpenAI field teams across North America, with particular focus on complex and regulated enterprises. - Create a clear engagement model for OpenAI sellers and technical teams, including when to involve EY, how opportunities are qualified, who owns each step, and how channel conflict is resolved. - Partner with Product, Engineering, Solutions, Security, Legal, Finance, and Commercial teams to support complex customer engagements and remove technical, contractual, compliance, and operational blockers, including applicable independence and conflict-of-interest considerations. - Build EY’s North America field and delivery readiness through executive sponsorship, sales enablement, technical training, reusable solution patterns, and disciplined delivery handoffs. - Establish regional governance across executive business reviews, pipeline inspection, forecasting, milestone tracking, performance reporting, and escalation, connected to the global alliance operating model. - Set and monitor North America partnership KPIs, including qualified pipeline, conversion, production adoption, customer value, partner readiness, delivery quality, and return on OpenAI investment. - Prioritize OpenAI resources for North America opportunities with the greatest strategic value, commercial potential, customer impact, delivery readiness, and repeatability. - Represent OpenAI in senior partner, customer, and industry engagements with clarity, sound judgment, and strong executive presence. - Build the regional operating model and identify the team capacity needed to scale the EY partnership across North America. You might thrive in this role if you have: - Significant experience leading strategic alliances, GSI, or advisory partnerships, ecosystem sales, business development, or enterprise go-to-market programs in AI, cloud, data, SaaS, or enterprise technology. - Direct experience working with EY and deep familiarity with its North America organization, partner economics, decision-making networks, commercial model, industry and consulting practices, and enterprise delivery motions. - A proven record of leading a multi-year partnership or regional alliance business with measurable pipeline, revenue, adoption, deployment, or customer outcomes. - Experience designing and scaling joint operating models across large, matrixed organizations, including governance, account planning, incentives, staffing, delivery handoffs, and escalation. - Demonstrated success shaping and advancing complex C-suite enterprise transformation opportunities from strategy through production deployment. - Strong executive presence and the ability to build credibility with senior EY and customer leaders while remaining close to operating details. - Commercial judgment and experience prioritizing investments, qualifying opportunities, managing forecasts, and making clear tradeoffs. - Technical fluency across enterprise AI, cloud environments, data platforms, security, governance, risk, and modern application architectures. - Strong cross-functional leadership and the ability to align Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, and Operations without direct authority. - Experience building partner enablement, joint solutions, industry plays, and scalable field engagement models across North America. - Comfort operating in ambiguity and creating structure, accountability, and momentum in a rapidly evolving market. - Excellent written and verbal communication, negotiation, and executive presentation skills. - A builder mindset, high ownership, low ego, and a consistent focus on customer value and responsible AI adoption. What success looks like - OpenAI and EY have a clear North America growth strategy, differentiated joint value proposition, executive governance model, and measurable business plan aligned with the global alliance. - EY and OpenAI field teams across North America know when and how to engage one another, and qualified opportunities progress through a consistent co-sell and delivery motion. - The North America partnership generates qualified pipeline and converts priority opportunities into secure, successful production deployments with demonstrable customer value. - Joint solution patterns and industry plays become repeatable rather than remaining bespoke. - OpenAI resources are allocated transparently toward the highest-impact opportunities. - EY’s North America teams demonstrate growing readiness and accountability across selling, architecture, implementation, and customer success. - The North America partnership earns sustained executive sponsorship and delivers measurable year-over-year growth. 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.
Threat Detection and Response Engineering Manager
About the team OpenAI’s mission depends on developing and deploying powerful AI responsibly. Security makes that possible by protecting our research, people, products, and users while enabling progress. We defend sensitive research and other intellectual property, customer data, and the infrastructure behind frontier AI—from GPU supercomputing and multicloud environments to datacenters and emerging agent systems. Threat Detection Engineering builds and operates the detections and investigative workflows that turn adversary activity into effective response. About the role We’re looking for a hands-on technical leader to guide the engineers who identify and investigate threats to OpenAI and build the capabilities to contain them. You’ll hire and develop engineers, set technical direction, and prioritize risks to OpenAI’s intellectual property, customer data, and critical infrastructure. Your team will take an agent-first approach across the detection and response lifecycle, using OpenAI’s models to develop detections, triage signals, investigate suspicious activity, and support bounded response and continuous improvement. You’ll turn advances in model capability into dependable defenses, own their effectiveness, and work with security, research, and infrastructure partners to ensure findings lead to effective action. You’ll establish where agents can act independently and where human judgment and approval are essential. In this role, you will: - Hire, coach, and develop engineers. Set clear expectations, provide regular feedback, grow technical leadership, and build a team that reviews work rigorously and learns from missed detections and noisy signals. - Set a threat-informed roadmap. Prioritize detection work based on how external and internal actors could target the systems where we train and evaluate frontier models, the production services that run inference and power our products worldwide, the datacenter hardware and networks that support both, and the devices, identities, and applications employees rely on. Balance investment in emerging threats with closing known coverage gaps and keeping existing detections effective. - Own detection and investigation as a complete workflow. Embed agent-driven triage and investigation in the detections your team operates. Surface findings when the evidence points to a likely threat that warrants action. When a finding warrants formal incident response, bring the evidence to the Security Incident Response Team (SIRT) and support the investigation SIRT leads. - Build response and containment capabilities tailored to our infrastructure. Work with infrastructure and system owners to develop and test the controls responders need to contain threats in their environments. Define when human approval is required and how to verify that containment worked. - Apply models across the detection engineering lifecycle. Use OpenAI’s models to help develop threat hypotheses, author and test detections, deploy and tune them, and incorporate investigation findings into better coverage. Evaluate the effectiveness of individual agents and the complete workflows they support. - Turn model advances into tested defenses. Prototype new approaches using OpenAI’s models, evaluate them against realistic adversary behavior and analyst baselines, and move successful experiments into production. Use operational evidence to identify model limitations and partner with Research and Engineering to address them. - Anticipate emerging threats. Translate adversary intelligence and incident findings into testable detection hypotheses. Work with researchers and infrastructure owners on risks specific to a frontier AI lab, such as increasingly capable agents operating across systems with access to sensitive research. Determine what evidence would reveal compromise and what response would be effective. - Establish the visibility needed to detect, investigate, and respond. Partner with Security Observability and infrastructure owners to define telemetry and forensic data requirements. Drive improvements where missing evidence, unreliable data, or limited controls prevent the team from identifying threats or taking effective action. - Engineer for measurable security outcomes. Use replay, adversarial validation, and regression testing to assess whether workflows find intended threats, distinguish benign activity, and reach defensible conclusions. Establish code review, documentation, staged rollout, monitoring, and rollback practices. Measure coverage, investigation accuracy, time to identify threats, and effectiveness of response. - Contribute during incidents. The Security Incident Response Team (SIRT) leads formal incident response. Your team contributes investigative expertise and uses incident findings to improve detections. You might thrive in this role if you: - Think like an adversary and demand evidence as a defender. You question whether apparent coverage would survive a determined attacker, distinguish plausible explanations from supported conclusions, and stay accountable for threats that existing tools and playbooks miss. - Have managed security or software engineers and can demonstrate how you have hired, coached, developed technical judgment, and improved a team’s ability to deliver. - Are a hands-on builder who can prototype tools, write and review code, and guide engineers through complex detection, investigation, and response designs. - Bring strong AI fluency and have built systems that test how models or agents can improve cyber defense. You have evaluated real security workflows against meaningful baselines and can explain what improved, what failed, and what you changed. You understand model failure modes and design reliable workflows with bounded permissions and clear human decision points. - Have built or operated threat detections and led technical investigations. You understand adversary tradecraft and can assess evidence, scope, and uncertainty across complex environments. - Understand how identity, endpoint, cloud, Kubernetes, and infrastructure telemetry supports investigations. You can reason about response and containment in unfamiliar systems and work with their owners to build practical capabilities. - Have used testing and operational feedback to improve security outcomes. You can explain tradeoffs among coverage, accuracy, speed, and human workload, and choose measures that reflect whether threats are being found and addressed. - Can build a focused roadmap and strong cross-functional partnerships in a rapidly changing environment. You enable researchers and engineers to move quickly while following through on security requirements and dependable operations. 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, Security
ABOUT THE ROLE Perplexity's security team protects products used by millions of people and thousands of enterprises, including AI agents that browse the web, run code, and act in customer systems. The team is small, senior, and builds most of what it uses: our own detections, agents that triage and investigate alerts around the clock, continuous offensive testing, and secure-by-default platforms for the rest of engineering. We're also turning what we've built into cybersecurity products for customers, so the same team that defends Perplexity builds what we ship. We're looking for an Engineering Manager to lead and grow Security Engineering, including the engineers building our cybersecurity products. You'll own the team's execution and people, set the technical direction for how we defend our infrastructure, products, and corporate environment, and lead the product engineering work that brings those systems to customers. You'll stay close enough to the work to run an incident or review a design yourself. You'll report to Perplexity's head of security and work with engineering, infrastructure, IT, product, legal, and our co-founders. RESPONSIBILITIES - Lead, hire, and grow a team of security engineers across detection and response, cloud and infrastructure security, application and product security, offensive security, and identity and corporate security. - Lead the engineers building our cybersecurity products: set technical direction for agent-driven products across application security, offensive testing, cloud security, and detection and response, and own delivery to design partners and enterprise customers. - Keep the internal security program and the product tightly linked, so what the team runs on Perplexity every day becomes what we ship, and customer feedback improves how we defend ourselves. - Set the roadmap for Security Engineering, balancing incident load, risk reduction, and long-term platform investments, and make clear prioritization calls. - Own security incident response operations: on-call health, escalation, cross-team coordination during incidents, and postmortems that lead to real fixes. - Drive an AI-first security program. Push the team to automate investigation, response, and remediation with agents, and hold that automation to a high bar for accuracy and safety. - Partner with engineering and infrastructure leaders to get security work into their roadmaps, from threat models and design reviews to least-privilege access and secure-by-default libraries. - Represent Security Engineering in enterprise customer security reviews, external researcher and bug bounty engagements, and audits. - Build the team's operating rhythm: clear ownership, metrics that matter (time to detect, time to contain, open risk), and written standards others can follow. - Stay hands-on: review designs and code, run investigations when needed, and keep a working understanding of the systems the team defends. QUALIFICATIONS - 8+ years of engineering experience in security, with at least 3 years managing security or infrastructure engineering teams. - Deep hands-on background in at least two of: detection and response, cloud security (AWS preferred), application or product security, offensive security, or identity and access management. - Experience leading incident response for serious security incidents, including technical investigation, containment, and communication with executives and customers. - Strong management practice: clear feedback, effective 1:1s, career development, and a track record of hiring and retaining strong senior engineers. - Comfortable with modern infrastructure (Kubernetes, cloud-native services, CI/CD) and able to engage credibly with engineers on design and code. - Ability to make good tradeoffs under pressure and explain risk clearly to technical and non-technical audiences. - Experience shipping software products to external customers, ideally security products, including working with design partners and turning customer feedback into a roadmap. - Experience building security programs at a fast-growing company, where you built more than you bought. - Bonus: experience securing AI/ML systems, LLM applications, or autonomous agents, or using AI to scale security operations. - Bonus: experience supporting enterprise compliance programs (SOC 2, ISO 27001, FedRAMP) from the engineering side.
Resale 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 the role Resellers are a major route for organizations to buy Claude. Our reseller program runs across two motions: hyperscaler resale, where partners resell Claude through the cloud marketplaces (AWS Bedrock today, Google Cloud Vertex AI and Microsoft Foundry to follow), and direct resale, where partners resell on Anthropic paper through our own quote-to-order and billing systems. Each motion brings its own agreements, systems and cloud counterparts, and the program is expanding across regions at the same time. As our Resale Operations Lead, you will run resale operations: how resellers get authorized, transact, get reported on, get paid and get supported, across both motions and every live cloud. The resale business team sets the strategy and the commercial framework. You will build and run the processes, playbooks and team that put that framework into practice, and keep them reliable as volume grows. This is an operator and builder role, not a partner manager role. You will be hands-on in the detail of a private offer or a partner quote while you build the team, the vendor coverage and the Claude-powered automation that keep resale operations from growing in line with partner count. Reporting to Head of Partner Operations and Systems · San Francisco or New York based What you'll do - Lead the resale operations team: set priorities, coach the reseller operations managers, and keep every region on the same playbooks rather than a set of local processes. - Build the resale runbook and launch kit across AWS, Google Cloud and Microsoft, so that authorizing, onboarding and supporting a reseller works the same way wherever it can, and each new cloud comes online from the kit. - Run hyperscaler resale operations: marketplace authorizations and private-offer processing with the cloud alliance teams, and operational escalations with AWS, Google Cloud and Microsoft, raised through the cloud alliance teams. - Stand up direct resale operations: partner quotes in Salesforce CPQ, order forms, booking and provisioning, and commit tracking and true-ups, working with Deal Desk, Commercial Operations, Finance and Tax. - Operate the program rules as controls that can actually run: deal registration to the published policy, eligibility checks, margin and rebate data, and the unauthorized resale process. Flag early what cannot be operated yet. - Own the reseller transaction data, so that every reseller transaction traces to an end customer under the attribution rules Partner Strategy and Operations governs, partners are paid accurately and partner-sourced revenue can be measured. - Scale through vendors and Claude: propose which resale work moves to outsourced teams or to Claude, run the vendor team's resale scope to a stated quality bar, and build automations with human checkpoints where a wrong decision carries risk. - Run resale on a scorecard: application decision time, registration cycle time, attribution coverage, payout accuracy and launch readiness. Use it to tell the team and leadership what to fix next. What might make you a good fit - Channel, reseller, distribution or partner operations experience at a technology company, including managing a small team. - Hands-on depth in both motions: cloud marketplace resale (authorizations, private offers, deal registration) and direct or contract-based resale (quote-to-order, partner billing). - A track record of building a resale or channel operations process from an early stage and running it as volume grew. - Fluency in order-to-cash, including Salesforce CPQ or a comparable tool and the Finance, Deal Desk, Legal and Tax coordination that comes with it. - Experience managing outsourced or vendor teams: scope, service levels, quality sampling and performance feedback. - Sound judgment while the program is still moving. You can make the call with incomplete information, hold a control under pressure from sales or a partner, and keep the relationship intact. - A builder's mindset and clear writing. You use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it. Strong candidates may also have - Experience on the partner or marketplace side of a hyperscaler, or in operations at a major distributor. - Experience running partner rebate, margin or incentive operations, or launching a resale program in EMEA or APAC. - Familiarity with the Claude API, Claude Code or MCP. 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: $215,000 - $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.
Customer Marketing Lead, Startups
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring a Customer Marketing, Startups Lead to own our strategy for how Anthropic shows up in market with the startups building on Claude, from early-stage founders to our largest AI-native customers. You'll figure out how we can help startups grow, and find creative ways to amplify their stories to inspire more companies to do the same. This is a role for someone who has led marketing at a startup and knows what founders need. You'll work closely with our Startups account teams to decide where co-marketing will create real value for both the startup and Anthropic. For the startups we prioritize together, you'll work directly with founders and their teams as a marketing partner on channels and the joint messages we take to market. Many of these companies don't have big marketing teams yet, so you'll also advise them on storytelling and growth. This role is deeply cross-functional. You'll work with Startups Sales leadership, Startup Partnerships, Segment Marketing, Field Marketing, Partner Marketing, Product Marketing, Brand, Comms, and Legal. You'll set direction with senior leaders here and at our customers, and lead a team of startups customer marketers while staying hands-on in the work yourself. Key responsibilities - Own startups co-marketing, including deciding which startups and moments are worth investing in - Be a marketing partner to founders and CEOs on channels and joint messaging, and advise companies without built-out marketing teams on storytelling and growth - Partner with Startups Sales leadership and embed in the deal flow so you can see deals coming and plan how co-marketing can support them - Work with account teams on the market development funds (MDF) in startup contracts, and own how those funds are deployed - Build programs that bring co-marketing to hundreds of startups, beyond our top accounts - Set the bar for startup storytelling and find creative ways to amplify those stories, from case studies and founder films to content on how startups use Claude - Find opportunities to bring startups into Anthropic's launches and campaigns - Work with Startup Partnerships and Segment Marketing on the Claude Startups program and our relationships with VCs and accelerators - Build a feedback loop that shares what founders care about with Anthropic's leadership and GTM teams - Lead and develop a team of startups customer marketers Minimum qualifications - Have been a trusted advisor to founders and CEOs, and enjoy working closely with them - Know when co-marketing will create real value for both companies, and when it won't - Are a strong storyteller and writer who can tell what makes a founder's story worth telling - Have a deep read on what startups want, and can quickly see what will help a small marketing team most - Have led senior cross-functional work across Sales, Marketing, Product, and Comms - Can influence teams you don't own, and are comfortable presenting to executives - Have strong taste and judgment, and can say no, including to senior leaders - Are a player-coach, comfortable setting direction for a team and doing the hands-on work yourself - Are comfortable with technical products and can talk credibly with technical founders - Can keep up with a fast pace - Already use Claude in your own work - Care about Anthropic's mission Preferred qualifications - Have 12+ years in B2B marketing, including senior marketing leadership at a startup, like CMO, VP of Marketing, or Head of Marketing - Been a founder or an early marketing hire at a startup - Worked in AI, developer tools, or another technical category - Worked at a company that sells to startups - Built relationships with VCs and accelerators - A network of founders and startup marketing leaders - Run co-marketing programs with real budget behind them Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York offices 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. 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 - $400,000 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.
Commercial Activation 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 funds delivery partners to help customers adopt Claude, through assessments, workshops, proofs of concept, and full delivery engagements. Our partner request process is the front door for all of it: an account executive (AE) requests partner support, and the request is checked against program rules and matched to a partner. Commercial is the program's highest-volume segment, and the one where a quick introduction and the right match matter most. Automation now drafts the first match and the introduction, and a vendor delivery team handles day-to-day follow-up and tracker updates. What's left is the work that needs a person sellers trust. You'll be the one Activations contact for US Commercial sellers once a request is in, from submission to a partner on a signed statement of work (SOW). Partner Sales Managers (PSMs) attach the partner and own the opportunity, and at their volume they move on to the next deal. You'll own the follow-through: matching and re-matching, getting AE and customer introductions to happen, handling exception requests, and working the special cases that don't fit the standard path. Decision rights are clear: the program lead sets program rules, targets, and exception policy; you apply them on Commercial requests, decide what the rules already cover, and bring the rest with a recommendation. We're looking for a partner seller or channel operator whom sellers and partners trust, who is comfortable owning a high-volume book, and who keeps following up until each request is closed. Success in this role comes down to three things: how quickly Commercial requests move from AE introduction to customer introduction and on to a signed SOW, whether sellers know exactly who to go to and get a straight answer, and whether exceptions are handled the same way every time. Key responsibilities - Serve as the single point of contact for the AE, the PSM, and the partner on every US Commercial request, from submission to confirmed SOW, so sellers deal with one person instead of several - Answer "Where is my request?" with the current status, the blocker, and the next step with a date, and keep each request's record accurate enough that the answer is already written down - Join the PSM pipeline and activation calls every week so requests don't slip between PSMs, and leave each call with an owner and a date on every open Commercial request discussed - Own the request and its follow-through within clear boundaries: the PSM owns the opportunity, partner attach, and getting the SOW signed; the partner manager owns the partner relationship; and you hand over cleanly to Partner Success once the SOW is confirmed - Confirm the first match that automation drafts from the partner bench, change it when it's wrong for the customer, and own the matching decision on Commercial requests; check that a partner has capacity before introductions go out, and spread work so no partner holds more open introductions than it can take - Re-match quickly when a partner declines, stalls, or is turned down by the AE, record the reason, and make sure the request has an owner in between - Review where Commercial matches are declined or lost, and turn repeat causes into changes to the matching rules - Follow up on automatically drafted introductions that an AE hasn't approved, and resolve what the escalation rules send to you; step in when a partner's booking of the customer introduction stalls, and work with the AE or their manager to unblock it - Run the regular review of aged Commercial requests, making sure each one has a recorded decision (introduction made, customer not ready, re-match, or close out) and a follow-up date - Track every Commercial request from partner named to confirmed SOW, publish the baseline for that stage, and remove the blockers that sit with Anthropic - Be the first stop for Commercial exception requests, including special order-form terms: resolve what the rules already cover, bring the rest to the program lead with the history, the blocker, and a recommended action, and log every exception consistently so approvals follow the agreed routing and can be audited later - Work through cases the standard path doesn't fit, such as small and medium business (SMB), insurance, and other segment-specific use cases, and write down how each type is handled so the next one is faster - Run tests of new funding programs, which start in Commercial, with sellers and partners, and report back what worked, what confused people, and what should change before a wider launch - Teach Commercial AEs and their managers how to request a partner, how one-click introductions work, and what the response rules are, so requests arrive complete the first time; make sure PSMs and partner managers know the stage targets, who to contact once a request is in, and how escalations work - Work with the activation systems and operations lead to turn repeat exceptions and repeat questions into rule changes or automation, so fewer requests need a person each quarter - Use Claude to prepare for pipeline calls, draft follow-ups, and summarize the state of your book, and propose the next manual step worth automating - Work US hours with a regular overlap window with the London-based program lead, and hand off cleanly so Commercial sellers have coverage across time zones Minimum qualifications - Experience in partner sales, channel, or partner operations in B2B technology - Experience working with services partners or systems integrators: matching them to customer work, judging fit and capacity, and holding them to commitments - Experience working alongside AEs and sales managers on live deals, and able to get a response from a busy AE while keeping the relationship strong - Sound judgment on exceptions: knows the difference between a case the rules already cover and one that needs a decision, and makes a clear recommendation on the second kind - Persistent, courteous follow-through with internal and external stakeholders, and doesn't let items slip past their deadline - Clear, concise writing: short messages people act on, and escalations that give the facts, the ask, and a recommendation - Comfortable with ambiguity and rules that change often: asks good questions, writes the answer down, and applies it consistently - Works comfortably with records and reports in Salesforce - Uses Claude or similar AI tools in day-to-day work Preferred qualifications - Experience as a Partner Sales Manager or in a closely related role - Experience using Claude specifically in day-to-day work - Experience with partner funding, market development funds (MDF), or co-sell programs - Experience with order forms and SOW workflows - Experience selling into SMB or insurance 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 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 Program Manager, Pacing
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 Pacing is Anthropic's work to make sure that, as AI capabilities advance, enough time and effort goes into making them safe. It covers the safety commitments we make and carry out ourselves, the public policy we develop and support, and the research and communication that help people understand how quickly AI is progressing and what that could mean. We're hiring a Technical Program Manager to run Pacing. It spans many projects led by people across Safety, Research, Policy, Legal, Communications, and Engineering, most of whom have other responsibilities too. You'll make sure each project has an owner, a clear outcome, and a date, and that leaders have high visibility and can make tradeoff decisions. You'll work closely with the team responsible for our Responsible Scaling Policy and support every project lead in delivering on their commitments. The questions and strategies relevant to this program will change rapidly as the frontier evolves. You'll need enough technical depth to drive discussions about model training, evaluations, and compute, and the judgment to identify which decisions belong with cross-functional partners and which you can make yourself. We're looking for a generalist who can ship quickly and iteratively and drive accountability towards high-level, ambiguous objectives. Key responsibilities - Own the Pacing program end to end, keeping one accurate view of projects, owners, milestones, dependencies, and gaps that drives action from leadership and project leads - Turn strategy from executive sponsors into scoped projects with measurable outcomes and timelines for execution, and drive concrete proposals to decisions - Run the operating rhythm, including working sessions with project leads, regular written updates, and effective executive reviews, and follow decisions and action items through to completion - Work with the Responsible Scaling Policy team and researchers to define the evidence and sign-off a model needs at key points in training and deployment, and make those reviews a dependable part of how we work - Track the public and internal commitments Anthropic makes on pacing, and sequence the work, publications, and events behind them with Policy and Communications - Partner with Legal throughout the lifespan of each project, and operate with high integrity on confidential and sensitive work - Define how progress is measured, report against it candidly, and recommend which projects and practices to continue, change, or stop - Use Claude to build automations to allow teams to have broader and deeper impact Minimum qualifications - Experience leading multiple complex technical programs that span organizations and involve engineering or research teams, from ambiguous goals through delivery - Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent projects - Technical fluency sufficient to identify risks and challenge tradeoffs in how frontier AI models are trained, evaluated, and deployed - Working knowledge of AI safety and the main debates about how frontier AI should be developed and governed - A track record of delivering through senior leaders and teams who don't report to you, including when it meant changing how they work - Experience preparing decisions for executives, including framing options, making a recommendation, and recording the outcome - Sound judgment and discretion with confidential and sensitive information Preferred qualifications - Experience at a frontier AI developer, a government AI institute, an independent evaluator, or an AI safety or governance research organization - Hands-on experience with frontier AI safety work, such as safety frameworks, safety cases, risk reports, model evaluations, or reviews of model training or deployment - Familiarity with how AI progress is measured, including compute, capability trends, and the use of AI to speed up AI research - Experience delivering programs that combine technical work with public policy, or that bring together experts from different organizations - Experience managing published commitments or high-visibility public releases - Experience building a program from zero and reshaping it as the strategy evolved 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: $290,000 - $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.
External Affairs, Southeast Asia
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 Singapore-based Public Policy expert to lead Anthropic’s policy engagement in Singapore and across the region. In this role, you will advance practical AI governance and support Anthropic’s commercial expansion by building strategic relationships with Southeast Asian government authorities, developing substantive policy positions and papers, and engaging in regular outreach to drive progress in AI policy and AI safety. You will draw upon established relationships with key policymakers and their staff to shape how the region approaches AI regulation and safety during a critical period of governance development. As part of this role, you will collaborate with a dynamic, geographically distributed policy team on a variety of projects, including analyzing policy proposals, drafting submissions to requests for public comment, planning and executing policy campaigns in Southeast Asia, and providing policy advice to technical colleagues. This is a foundational hire — you will be building Anthropic’s policy presence in Singapore and the region from the ground up. In this role, you will: - Conduct comprehensive mapping of key Southeast Asian AI policy stakeholders and build strategic relationships with government and regional multilateral officials, think tank researchers, and civil society leaders - Brief a diverse set of policy and research actors looking to better understand AI safety and AI policy opportunities in the Southeast Asia context - Convene diverse stakeholders and speak at policy events such as research announcements, discussion panels, or workshops on AI safety topics - Analyze emerging legislation and develop Anthropic’s engagement strategy, including preparing substantive policy submissions and response documents - Support senior colleagues in external engagements by preparing meeting briefs and taking action on follow-up requests - Develop new programming and generate opportunities for Anthropic to regularly engage with regional policymakers, think tanks, and non-profit organizations - Collaborate with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities tailored to national regulatory environments - Develop and amplify public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy - Partner with non-profit organizations and academic researchers to publish discussion papers and policy memos on how to enable responsible AI research and development - Develop and execute a convening strategy, including workshops or panels that position Anthropic as a thought leader in AI safety and governance in Southeast Asia You may be a good fit if you: - Have 10+ years of professional experience in government, technology, legal, and/or other policy-relevant environments - Have a track record of effective, information-rich advocacy with the government of Singapore and other regional governments and multilateral organizations - Have experience analyzing legislation and engaging in regulatory processes - Are energized by agency — you will be the first policy hire in the region and will be building the operation from scratch - Enjoy drafting and executing complex policy campaigns that move the needle - Thrive when engaging with policymakers, civil society, and think tanks to translate complex technical topics into accessible and relevant information - Excel at translating high-level vision into executable operational plans - Have demonstrated an ability to quickly get up to speed on complex technical areas and policy dynamics - Are deeply curious about frontier technological research and are eager to work closely with technical colleagues to translate new discoveries into policy outcomes Preferred Qualifications: - AI/Technology industry experience heavily preferred - Experience working with international companies or organizations - Academic or think tank background in AI policy or related fields - Experience in both government and private sector roles 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.
CX Ops Specialist
About the Role As a CX Operations Specialist, you’re the first point of contact for customers’ billing and account needs, and you build the automation that makes the whole Customer Experience team faster. You’ll resolve billing disputes, handle account and SSO setup, and own monthly credit and renewal reporting. You’ll work closely with Commerce, Billing, and Finance as well as directly with customers. In this role, empathy and clear communication matter as much as the technical work. This is a role where you’ll spend roughly half your time on support and reporting and the other half building. You’ll find the repeatable, rules-based steps in the work, starting with refund request triage, and turn them into agent skills and workflows that produce accurate, reliable results. You’ll also partner with Commerce and engineering to turn friction in support-side billing workflows into clear requirements. You will be the first hire in a new function on a growing team. As the day-to-day gets automated, there’s room to grow into ownership of areas like RCA deliverables, CSAT, and renewals, or to go deeper as a technical tools and automation specialist. This role is based out of our SF headquarters and hybrid. Responsibilities - Own billing and account support: triage, respond, and resolve, or route to the right team - Process refunds, investigate disputed charges, and resolve payment declines, payment-method changes, negative balances, and credit-limit issues - Handle account setup, including SSO configuration for common identity providers (Okta, Azure AD, Google Workspace), and diagnose common failures - Manage monthly reporting of customer credit requests, supporting forecasting and detailed customer reports checked against contract terms - Build and maintain agent skills that automate repeatable steps of billing and credit work, starting with refund request triage - Work with the Commerce team on product delivery, credit deposits, order fulfillment, and endpoint reservations, using internal systems and command-line tools - Raise friction in support-side billing workflows and help turn it into clear requirements - Agree on priorities with your manager based on hours saved and error reduction Requirements - Experience in a customer-facing support, customer success, billing support, program management, or operations role, or equivalent projects. We care more about what you’ve built and the problems you’ve solved than the number of years. - A knack for breaking problems into core pieces and turning recurring patterns into clear rules and steps that an automated workflow can follow - Comfort working in a terminal: running commands, reading curl or HTTP requests, and interpreting JSON error responses - Strong written communication and genuine empathy, with the ability to explain billing and technical concepts to non-technical customers - Attention to detail with numbers: you check totals, reconcile sources, and catch discrepancies - Experience owning a ticket queue in a support platform (Pylon, Zendesk, Intercom, or similar) and working to response and resolution targets - A strong sense of ownership and a habit of documenting what you learn and fixing root causes instead of repeating the same fix - Ability to manage multiple workstreams and switch context frequently Preferred Qualifications - Golang or Rust development experience - Experience building and managing cloud-native services (e.g., AWS, Google Cloud Platform) - Strong understanding of Linux system and networking fundamentals, including TCP/IP, kernel operations, memory, and file system management - Familiarity with Open Compute Project (OCP) technologies (OpenBMC, Coreboot, Linuxboot, etc.) If you don’t meet every requirement but believe you’d be a great fit, we’d still love to hear from you. We’re looking for part support, part PM, part engineer. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $140K - $180K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Application Policy Please read each role carefully and apply to the position best suited to you. Candidates are limited to 6 applications within a 90-day period, and applications beyond that limit will be automatically rejected. You may apply to additional roles 90 days after your last application. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy.
Security Incident Response Team Manager
About the team Ensuring that advanced AI benefits humanity requires protecting the research, infrastructure, and trust that make its development and deployment possible. OpenAI Security defends our model IP, people, products, and users against sophisticated adversaries across GPU supercomputing, multicloud environments, datacenters, and emerging agent systems. The Security Incident Response Team (SIRT) leads the response when those defenses are tested—establishing what happened, limiting harm, and strengthening our ability to protect frontier AI. About the role We’re looking for a hands-on technical leader to build the incident response team that protects OpenAI as AI capabilities and the threats surrounding them evolve. You will command consequential incidents, lead technically demanding investigations, and make containment and recovery decisions when evidence is incomplete and the stakes are high. You will also shape how frontier models change incident response: using OpenAI’s own technology to help responders connect evidence, test hypotheses, and act effectively at a scale that manual workflows cannot support. Partnering with Research, Infrastructure, Product Security, Enterprise Security, IT, and Engineering, you will build exceptional responders, dependable AI-powered capabilities, and stronger defenses through every investigation. In this role, you will: - Hire, coach, and develop exceptional incident responders who combine investigative depth, engineering ability, and sound judgment. Build a team that challenges assumptions, surfaces uncertainty early, and uses AI to expand its capabilities. Develop technical leaders who can make and explain difficult decisions under pressure. - Lead incident command for complex threats to OpenAI’s research, products, and infrastructure. Establish severity and scope, coordinate investigation workstreams, and weigh containment options against ongoing exposure and disruption to research or production. - Build and ship agentic capabilities using OpenAI’s models for evidence collection, investigation context, response coordination, and bounded response workflows. Partner with platform engineers to integrate tools and data, evaluate accuracy and failure modes, and ensure reliable, auditable operation with human approval for consequential actions. - Set investigation standards for sophisticated adversaries and insider threats across identity, endpoints, cloud, Kubernetes, and large-scale compute. Help responders reconstruct activity, test competing hypotheses, preserve evidence, and make uncertainty explicit. - Drive incidents to verified closure. Work with accountable owners to validate containment and recovery, document remaining risk, and track corrective actions that reduce the likelihood or impact of recurrence. - Coordinate with engineering, infrastructure, legal, privacy, and other stakeholders throughout an incident. Give executives clear updates on impact, uncertainty, decisions, and the next update without overstating what the evidence supports. - Build sustainable on-call coverage, escalation paths, and handoffs across regions. Balance urgent response with training and planned improvements, and protect the team’s ability to recover after demanding incidents. - Build readiness into new research and infrastructure capabilities with their owners. Exercise playbooks, escalation paths, and containment options, including scenarios involving agents operating across systems at scale. - Turn incident evidence into stronger defenses with Detection Engineering, Threat Intelligence, Security Observability, and security platform teams. Identify what should have exposed an intrusion earlier, what prevented a faster or more confident investigation, and which capabilities would have changed the outcome. Translate those findings into tested improvements with clear owners. - Prioritize improvements using incident outcomes and readiness evidence. Measure response quality and effectiveness, make tradeoffs explicit, and address recurring friction without reducing success to ticket volume or speed alone. You might thrive if you: - You are motivated by the responsibility of protecting frontier AI. You want to understand how powerful new systems can fail or be compromised, help their builders move forward securely, and use the same advances in AI to strengthen defenders. - You have managed security responders or a closely related technical operations team, with a record of hiring, coaching, delivering candid feedback, and helping people grow. - You bring strong AI fluency and an AI-first builder mindset. You have used models or agents to improve real investigation or response workflows and can show validated results. You understand their failure modes and pair ambitious automation with rigorous evaluations and human judgment. - You are a hands-on builder with deep investigation expertise across identity, cloud, host, and infrastructure systems. You can prototype tools, write scripts or code, and coach responders through difficult evidence questions, including unfamiliar parts of the stack. - You have commanded consequential incidents involving capable adversaries, leading technical teams and senior stakeholders from uncertain signals through verified recovery. You make timely, defensible decisions with incomplete information, recognize when new evidence requires a change in direction, and remain accountable for the consequences. - You communicate clearly with engineers, executives, and legal or privacy partners. You can explain uncertainty, document decision rationale, and keep stakeholders aligned as facts change. - You have improved on-call operations, response playbooks, or exercise programs, and understand how workload, handoffs, and team health affect response quality. - You can prioritize a small number of meaningful improvements, influence partners who own remediation, and follow through until the agreed outcome has been verified. 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.
Application Security Engineer
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 LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more. About the role You’ll be the hands‑on security lead embedded with core product teams to secure agentic workloads end‑to‑end, from SDK through LangSmith/Graph services and customer integrations. You’ll define our security roadmap, land immediate hardening wins, and raise the bar on how AI infra is protected in production. - Own product & platform security: Design and drive application/infrastructure security controls across LangSmith, LangGraph, and the LangChain SDK ecosystem (Python/TS/Go). - Secure-by-default authN/Z: Evolve SSO/SAML/OIDC/SCIM, token lifecycles, service‑to‑service auth, and tenant isolation for cloud and self‑hosted customers. - Ship code & reviews: Land secure designs, write PRs, and introduce lightweight checks (linters, dependency/supply‑chain scanning, SBOM/SLSA provenance). - Hardening & operations: Network segmentation/Zero Trust, Kubernetes posture, secrets management, key rotation, least‑privilege IAM, egress controls. - Incident readiness: Develop IR runbooks, detection rules, and tabletop exercises; lead post‑incident forensics and blameless RCAs. - Vuln management: Own scanning/triage/patch SLAs; coordinate with engineering to remediate quickly without slowing delivery. How to be successful in this role - 5+ years in security engineering with strong software skills (Python or Go; TypeScript a plus). - Depth in cloud/Kubernetes security (e.g., GCP/AWS IAM, workload identity, admission controls, network policies). - Hands‑on AppSec: code review, threat modeling, secure design, secrets & key management, authn/z patterns, multi‑tenant isolation. - Experience building detection & response and running incident management. - Familiarity with supply‑chain security (SBOM, sigstore/cosign, SLSA‑style controls) and dependency risk management. - Clear, pragmatic communication with engineers and customers. Nice to have - Security for SaaS + self‑hosted offerings, including air‑gapped deployments. - Exposure to SOC 2 / ISO 27001 programs and evidence automation. - Experience with Go services and Infra as Code (Terraform/Helm), plus policy‑as‑code (OPA/Gatekeeper/Kyverno). - Knowledge of privacy patterns (data minimization, retention, masking, workspace scoping).. Compensation & Benefits - We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. - Annual salary range: $175,000-$215,000 USD for Senior Engineers 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.
Technical Program Manager, External Evaluators
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 gives independent external evaluators access to our models, our people, and our safety practices so that they can assess risks, processes, and policies. We're hiring a Technical Program Manager to establish and deepen our partnerships with these external reviewers and embedded evaluators to support a thriving frontier evaluation ecosystem. You'll be the main point of contact for our existing partners, deepening our support so that they can work effectively and produce high-quality, rigorous, independent publications. You'll separately broaden the portfolio of organizations we are working with, managing the funnel from first conversation through contracting, onboarding, and day-to-day access, culminating in published reports. You'll evolve our current time-intensive manual processes into a system that can support many evaluators at once, working with teams across Safety, Research, Security, Legal, People Services, IT, Policy, and Communications. Within six months, you should be able to take a new evaluator from contract negotiation to first published report with minimal involvement from senior leaders. You'll need the technical depth to work out with researchers and engineers what access, tooling, and evidence an evaluation requires, and the judgment to resolve most questions quickly and escalate the few that need it, while balancing evaluators' need for access with Anthropic's requirements to protect its customers, its security, and its confidential information. We're looking for a generalist who can ship quickly and iteratively, and who earns trust on both sides. Key responsibilities - Own the external evaluator program end to end, including our relationships with evaluator organizations and the pipeline of future partners - Take each evaluator from first conversation through scoping, contracting, onboarding, access, and review to a published report - Define the stages and tiers of working with evaluators, and develop information access policies that meet evaluators' needs while protecting security and confidential information - Drive evaluators' access and information requests to fast, well-documented decisions in partnership with Research, Security, Legal, and IT - Drive the technical design of evaluator access with Security, IT, and infrastructure teams, including permissions, environments, and monitoring, and close gaps between policy and technical controls without slowing evaluators down - Run the review process for evaluator reports against agreed timelines and redaction criteria, while protecting evaluators' ability to publish their own conclusions - Scope evaluations with researchers and engineers, turning evaluators' questions about training, monitoring, and alignment into concrete requirements for model access, data, tooling, and compute, and planning capacity for each new evaluator - Turn evaluators' technical findings into research and engineering work with owners and dates, and drive accountability for how Anthropic responds - Keep the company informed with regular updates on how the program is going, and clear guidance on how to work with evaluators - Collect feedback from evaluators and internal teams, run retrospectives, and iterate on policies and practices - Use Claude and work with engineering teams to build the tooling the program runs on, such as access provisioning, request tracking, and report review - Support a thriving ecosystem of evaluators by sharing what we learn about running independent evaluation well Minimum qualifications - Experience leading complex technical programs with engineering or research teams, from ambiguous goals through delivery - Experience managing relationships with external organizations, including scoping work, navigating contracting, setting expectations, and resolving disagreements - Strong program management skills, including program planning, milestone and dependency tracking, and risk management across many concurrent workstreams - Technical fluency in how frontier AI models are trained, evaluated, and monitored, sufficient to define technical requirements, identify technical risks, and challenge tradeoffs with researchers and engineers - Sound judgment and discretion with confidential and sensitive information 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: $290,000 - $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.
Partner Support 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 the role The Claude Partner Network is how partners build, sell, and deliver on Claude. Partner Support keeps them moving: getting set up, getting certified, registering their work, and understanding where they stand in the program. It runs in layers. Self-serve and an AI support agent handle what they can, an outsourced vendor team works the in-scope (L1) topics, and our specialists take the escalated (L2) cases that need judgment. As our Partner Support Operations Lead, you will run partner support end to end: the team, the operating model, and the systems behind every layer. Partner Programs sets program policy. You will build and run the service levels, knowledge, quality bar, and escalation paths that put that policy into practice, and keep them reliable as volume grows. This is a hands-on operator and builder role. You will be close enough to the queue to know why a case was hard or a rule broke, while you build the team, the vendor coverage, and the Claude-powered automation that keep support from growing in line with partner count. Key responsibilities - Manage the partner support team: set priorities and clear expectations, coach the Partner Support Specialists, address performance early, and expand the team if volume or coverage calls for it - Own the support operating model: the L1 and L2 boundary, severity definitions, service levels, and escalation paths; review misrouted and wrongly escalated tickets, and fix the rule as well as the ticket - Run the L2 queue to its service levels: coverage across shifts, one owner for every case, clean handoffs to the teams that hold the answer, and careful handling of sensitive and high-impact partner issues - Manage the support service line with our business process outsourcing (BPO) team: work with their leads day to day and hold a stated quality bar through training and sign-off for each new cohort, the QA rubric and calibration, the weekly operating review, and corrective action when quality or coverage slips - Own the knowledge layer: one source of truth for the help center, macros, and AI agent content, updated when a program change ships, so every layer gives partners the same answer from day one of a launch - Own the support platform: routing, conversation attributes, views, workflows, access, and service-level reporting; keep the taxonomy short, consistent, and reportable - Scale through self-serve, vendors, and Claude: use topic and outcome data to decide what moves to each, and build automations for tagging, routing, QA screening, and reporting; test them on real tickets and add human checkpoints where a wrong answer carries risk - Turn what partners ask into fixes: bring the recurring causes behind ticket volume to Partner Programs, Partner Business Systems, and other owners, and follow each one through until the tickets stop - Run support on a scorecard covering responsiveness, resolution, escalation accuracy, and quality, and use it to plan capacity and to tell the team, the vendor, and leadership what to fix next Minimum qualifications - Support operations experience at a technology company, including managing a small team - Experience running an outsourced or BPO support team: onboarding waves, service levels, QA rubrics, calibration, and performance feedback - A track record of building a tiered support model from an early stage and running it as volume grew - Hands-on depth in Intercom or a comparable platform (Zendesk, Salesforce Service Cloud): routing rules, attributes, workflows, reporting, and permissions - Experience running knowledge and content for an AI support agent, including how to review answer quality and close content gaps - Strong analytical instincts: able to read ticket data, find the cause behind a spike or a backlog, and turn it into a fix and a capacity plan - Sound judgment while the program is still moving: able to make the call with incomplete information, hold a policy line with a frustrated partner or an internal stakeholder, and keep the relationship intact - A builder's mindset and clear writing: you use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it Preferred qualifications - Support operations experience in a B2B, partner, or channel environment - Experience supporting a partner, reseller, systems integrator, or independent software vendor (ISV) program - Experience building support coverage across regions, time zones, or languages - Familiarity with Salesforce, and with the Claude API, Claude Code, or MCP 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: $215,000 - $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.
Growth GTM Engineer, Revenue Operations
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and our marketing programs bring in thousands more leads. To turn that demand into pipeline, every lead has to be enriched, scored, and routed to the right next step within minutes. We're hiring a Growth GTM Engineer on the Revenue Operations team to own the lead-to-engagement engine. You'll orchestrate enrichment across marketing and product leads. You'll build the scoring models that combine firmographic and technographic fit with demonstrated intent and product behavior. You'll own the routing that sends each lead back to Marketing for nurture or to BDRs and Sales for engagement. And you'll help build the custom internal apps our reps use to research, prioritize and engage prospects. You'll report to the Head of Marketing Operations, who sets the priorities for this work and owns our marketing automation platform, campaigns and attribution. You'll write production code, own the data and logic between our warehouse and Salesforce, and measure everything you build against meetings, pipeline and revenue. Tech stack: Salesforce | Snowflake | dbt | Python | TypeScript | Clay | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | LLM APIs 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. What you'll do - Own enrichment orchestration. Design and run waterfall enrichment across third-party data providers, AI research agents and first-party data for every marketing and product lead. Handle lead-to-account matching, deduplication, field governance, data freshness and provider cost, so every record is complete, accurate and ready to act on. - Own and iterate on lead and account scoring. Build fit models from firmographic and technographic attributes such as industry, size, region, tech stack, AI maturity and buying-committee coverage. Combine them with intent and behavior signals: web and content engagement, email and campaign engagement from Marketing Operations, third-party intent, event activity, and product usage signals from the Growth team. Calibrate the models against closed-won and closed-lost data, version them, and explain to Sales why a lead scored the way it did. - Own lead routing. Design the decision logic that sends each lead to Marketing for nurture or to a BDR, AE or Account Manager for engagement, based on score, segment, territory, account ownership, capacity and existing opportunities. Co-define lifecycle stages, handoff SLAs, recycle rules and speed-to-lead triggers with the Head of Marketing Operations, and enforce them in Salesforce and our routing tools. - Close the feedback loop. Instrument the funnel from lead creation to MQL, meeting, opportunity and closed-won. Find where leads stall, which sources and signals predict pipeline, and whether our qualification criteria still hold, then send those insights back into scoring, routing and Marketing programs. Supply the data behind attribution, which the Head of Marketing Operations owns. - Help build custom internal apps for prospect engagement. Ship the tools reps use every day, such as account and prospect research briefs, signal-triggered alerts in Slack and Salesforce, prioritized call and outreach queues, and LLM-powered agents that draft personalized outreach and prepare reps before first touch. Run them like products: talk to users, track adoption and retire what doesn't get used. These apps are part of our BDR prospecting toolset, a combination of internal builds and vendor solutions that the Head of Marketing Operations owns or co-owns. Deliver against that roadmap, including integrating vendor tools with Salesforce and our data layer. - Be the technical owner of the lead data layer. Build and maintain the dbt models, reverse ETL syncs, APIs and webhooks that connect Snowflake, Salesforce, marketing automation, enrichment providers and engagement tools. Make sure data flows are observable, tested and trusted. Support the rollout of our first marketing automation platform by building the Salesforce and warehouse side of its sync. - Partner across the business. Work with Marketing, Growth, BDR and Sales leadership, Data Science and Sales Systems to turn messy processes into durable systems. Work with the Growth team, using the PLG signals they publish to drive scoring and routing. What success looks like In your first 30 days: - Audit the current enrichment coverage, scoring logic, routing rules and lead SLAs, and document the gaps that cost us pipeline. In your first 90 days: - Ship an enrichment waterfall with measurable gains in fill rate and accuracy. - Ship an evolution of our unified scoring model that combines fit, intent and product signals, with a published rubric Sales trusts. - Ship routing that sends every lead to nurture or sales within an agreed SLA, with dashboards that show speed to lead and conversion by route. In your first 6 months: - Ship at least one rep-facing engagement app or agent with sustained weekly use by BDRs and AEs. - Show a measurable lift in MQL-to-meeting and meeting-to-opportunity conversion. Qualifications - 4+ years in GTM engineering, RevOps or Marketing Ops engineering, growth engineering, or data engineering in a B2B SaaS environment, including at least 2 years building enrichment, scoring or routing systems. - Commercial instinct. You start from a revenue problem, like "inbound enterprise leads wait too long for a first touch," and work back to the data, logic or tool that fixes it. - Strong SQL and experience building data models in a warehouse (Snowflake, dbt or similar). You pull your own data. - Production code in Python or TypeScript. You've shipped internal tools, integrations or agents that real users depend on. - Deep working knowledge of the Salesforce data model (leads, contacts, accounts, opportunities, campaigns, ownership), and experience automating within it and integrating with it. - Hands-on experience with enrichment and intent providers and orchestration tools, such as Clay, ZoomInfo, Apollo, Clearbit, 6sense, Demandbase or Common Room. - Fluency with funnel mechanics: lead lifecycle design, scoring models, routing and assignment logic, SLAs, attribution data and conversion metrics. - Comfort with REST APIs, webhooks, OAuth, rate limits and error handling across third-party GTM tools. - Operator and business partner mindset. You work directly with reps and marketers, ship fixes quickly, and don't need a PM to translate requests. Nice to have - Experience in a hybrid PLG and sales-led motion: product-qualified leads, mapping users to accounts, and sales-assist routing. - Experience with routing and scheduling tools (Default, Chili Piper, LeanData) and reverse ETL (Hightouch, Census, Polytomic). - Experience building LLM-powered research, personalization or qualification agents, including evaluation and monitoring. - Experience with statistical or ML-based scoring (logistic regression, gradient boosting) and model calibration. - Entity resolution and domain-matching experience at scale. - Prior GTM Engineer experience at a GTM-tooling or AI-native company.
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.
Tech Lead Manager, Growth Data Science
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 part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions. Key responsibilities - Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes - Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize - Manage and develop a small team of Product Data Scientists - Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction - Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value - Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses - Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations - Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions - Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners - Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow Minimum qualifications - Have extensive experience in data science, including leading analytics for a growth or product area at significant scale - Have 5+ years managing data science teams, including setting team direction and developing senior data scientists - Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision - Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information - Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work - Communicate clearly in writing and in presentations, including to executive audiences - Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress - Care about the company’s mission of building helpful, honest, and harmless AI Preferred qualifications - Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling - Experience with targeting, personalization, or uplift models in production - Background at consumption-based, multi-product companies serving both consumers and enterprises - Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $460,000 - $460,000 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.
Senior Engineering Manager, Kuwait
About Scale AI Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for national LLMs - Upskilling and advisory services to spread the impact of AI As these applications move from prototype to production, we're investing heavily in the infrastructure and people that keep them reliable, secure, and trusted by our government partners. At Scale, we're not just building AI solutions - we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you. Role Overview We are looking for a technically strong and customer-oriented Engineering Manager to lead the development of AI applications for Kuwait government clients. This role sits at the intersection of engineering leadership, AI/ML delivery, and direct client engagement—requiring someone who is equally comfortable presenting to a government stakeholder as they are reviewing a system architecture or shipping code. As a founding member of our regional team, you will help define how Scale AI shows up for some of the most ambitious public sector AI initiatives in the Gulf. If you thrive in fast-paced, high-impact environments and want to shape the future of AI in government, we would love to hear from you. What You'll Do - Lead and manage a team of engineers delivering AI-powered applications for Kuwait government clients, ensuring high-quality output and on-time delivery - Serve as the primary technical point of contact for Kuwait government stakeholders—translating complex engineering concepts into clear, accessible language for non-technical audiences - Design, build, and optimize full stack AI applications end-to-end, from data pipelines and ML model integration through to APIs and frontend delivery - Develop and deploy AI/ML solutions including LLM-powered features, AI agents, and intelligent automation tailored to government use cases - Build and maintain robust API integrations connecting Scale's platform with government systems and third-party services - Partner with product, go to market, and government counterparts to define requirements, scope solutions, and drive delivery from conceptualization through production - Represent Scale in client-facing settings including workshops, demos, and executive briefings with Kuwait government agencies - Manage the full product lifecycle across multiple workstreams simultaneously, balancing speed and quality in a fast-paced environment - Inspire, mentor, and grow engineers on the team, fostering a culture of technical excellence and customer focus - Influence team culture, engineering processes, and best practices as a senior leader within the Global Public Sector organization What We're Looking For - 6+ years of total software engineering experience, with a strong background in AI/ML engineering and full stack development - 3+ years of engineering leadership experience, with a demonstrated ability to manage and develop high-performing technical teams - Strong AI/ML engineering foundation—hands-on experience building, training, fine-tuning, or deploying machine learning models and LLM-based applications in production - Full stack engineering proficiency across the entire application stack, including backend services, APIs, data pipelines, and frontend interfaces - Proven experience in a customer-facing or client-embedded engineering role—comfortable engaging directly with government or enterprise clients, leading technical discussions, and building trust with non-technical stakeholders - Experience designing and integrating APIs at scale, including RESTful services and AI/ML APIs - Ability to translate complex government business requirements into practical, scalable engineering solutions - Track record of shipping high-quality products and features at pace in dynamic, ambiguous environments - Excellent communication and presentation skills, with the ability to adapt technical content for diverse audiences - Desire to work in a very fast-paced, high-stakes environment where your work directly impacts citizens - Experience working in or with the Gulf Cooperation Council (GCC) region is strongly preferred; Arabic language skills a plus PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Account Executive, Navy
Scale is building AI for the world's most important decisions. From the front lines of national defense to the core of global enterprise, we provide the data engine and agentic infrastructure that powers the next generation of American and allied interests. The Role As an Account Executive (AE) supporting the Navy, you will bridge the gap between cutting-edge AI research and mission-critical production in the Navy domain. You will lead the charge in deploying agentic AI, meaning autonomous, reasoning systems, into operational workflows. We are looking for an executive account leader who understands that winning at the Navy is not about a successful six-month prototype. It is about getting into program budgets. Scale already has proven programs across the Department of War (DoW) and in Navy-adjacent work. Your mandate is to take what works, bring it to your buying centers, and convert it into funded, multi-year Navy business. This is an individual contributor role with heavy leadership expectations. You are the CEO of your territory: one accountable owner for the customer and the commercial result. Responsibilities - Own the territory and the number. Carry and exceed an annual bookings target tied to your territory. You own the full lifecycle: identifying opportunity, shaping requirements, converting to a funded award, and expanding. You build and maintain a qualified pipeline of at least 3x your target. - Replicate what is proven. Bring proven Scale offers to new Navy buying centers instead of starting custom pilots. You qualify hard: we pursue work that expands or connects an existing program, or that has a clear funding path. - Turn proof into programs. Secure executive sponsorship and programmed funding (POM, program-office, and production vehicles) so prototypes survive the valley of death and become deployed capability. - Tactical execution. You don't just delegate. You personally draft white papers and OTA responses, lead complex proposal development, architect deal structures, and navigate the nuances of defense acquisition. - Renewal, expansion, and growth. Own the long-term account strategy across the Navy. Defend renewals, maintain executive relationships, identify the next use case, and secure follow-on funding that turns a single deployment into an enterprise standard. - Partner with delivery. Delivery owns execution; you own the commercial relationship. You stay close to mission outcomes and customer health, and you surface risk early, working with Engagement Managers, Technical PMs, Engineers, Product, and Customer Success. - Direct agentic solutioning. Work with your Solutions Engineer and operators to co-design agentic AI workflows. You translate a warfighter's mission problem into a specific technical requirement our engineers can build against. - SI and prime orchestration. With Scale's Partner Managers, negotiate with Tier 1 systems integrators and primes so Scale is the agentic AI engine inside their larger programs. You are the lead negotiator on subcontracting and teaming agreements. - Team selling. Work with Capture, who shape demand ahead of you, and with peer AEs in adjacent territories. You deconflict before engaging an account a peer owns. Requirements - Experience: 7+ years across Navy operations, government acquisitions, complex enterprise IT sales, or defense business development. Time in uniform or as a government civilian in the Navy counts heavily. - Proven track record: You have closed and implemented multi-year deals and know how to get a line item into the budget. - Domain expertise: Deep understanding of the Navy's modernization priorities and where AI/ML, computer vision, and autonomy apply. - Valley of Death navigator: Demonstrated ability to move technology from "cool demo" to "deployed capability" inside a major PEO or program office. - Strategic network: Existing relationships across Fleets, OPNAV, PAEs and PEOs, NAVWAR, and MCSC plus relationships at the major primes and integrators. - Clearance: Active TS/SCI is strongly desired; active Secret at a minimum. - Education: BS/BA required; technical degree or MBA preferred. - Geography: Washington, DC or San Diego, CA, with the ability to work on-site or with the customer three days a week. - Travel: Ability to travel at least 30% of the time. Who You Are - Mission-driven: You believe whoever wins in AI wins the next century, and you want that to be the United States and its allies. - Relentless: You thrive in the long game of defense procurement. Bureaucracy doesn't discourage you; you see it as a puzzle to be solved. - Adaptive: You can operate in the high-velocity environment of a fast-growing company while keeping the polish required in front of a general officer. - The closer-operator: You have the executive presence to brief a PEO and the stamina to spend 10 hours in a SCIF on a proposal response. - Radically accountable: You don't wait for a marketing lead or a BD specialist to hand you a deal. You build your own funnel, navigate the "no's," and find the creative path to "yes." - Technically credible: You aren't a software engineer, but you can explain the difference between RAG and agentic reasoning to a skeptical technical evaluator. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $203,200 - $254,000 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of California is: $203,200 - $254,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Staff Software Engineer, Support Technology
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's products are growing fast in reach and complexity. Every new model, product, and channel brings problems no one predicted. We want to catch each issue as early as possible, get customers unblocked fast, and fix the root cause. The best experience is one where a customer never has to ask for help. We are building a Support Technology engineering team to solve what stands between a customer and Claude, whether they want to use it but can't or are unhappy with their experience. That covers individual users, businesses, and customers who reach Claude through partners. Our goal is a better product experience for everyone who uses Claude. We make it easy for customers to get help and talk to us, through Claude itself and via human specialists with the tools to solve their problems. We also determine why they needed help and fix the cause in the product. Billing is a good example. When a charge is confusing, a payment fails, or a plan doesn't unlock, a customer should be able to reach us and get it resolved in one conversation. Then we want to learn why it happened and change the product, whether that's the subscription flow, the payment error, or the invoice, so the next customer never has to ask. As one of the team's early engineers, you will set the technical direction and build the core systems behind this work. We expect Claude to handle more of each case over time, from diagnosing an issue to resolving it to flagging the product fix behind it. Success means customers run into fewer problems, get them truly solved when they do, and are happy with the help they receive, whether it comes from Claude or a person. This is a hands-on role with high leverage. You will write a lot of code and lead across teams, since many fixes belong to other product teams. You will partner with our Product Manager, the Product Support team, and product engineering teams such as Billing Platform. Key responsibilities - Improve the product experience at the root: Build agents that spot where customers keep getting stuck and find the root cause, then ship the fix or drive it with the owning team until customers stop running into the problem - Make our support agents reliable first responders: Build the tools, APIs, and safe, audited workflows our Claude-powered support agents use for common fixes, with evals, guardrails, and clean handoffs to people, and measure whether customers' problems actually get solved - Build the platform foundations: Create a reliable support platform that scales with our growth, including the experience and tools for customers and specialists, and the data that shows what customers are running into and whether our changes help - Support enterprise and partner channels: Extend support to business customers, admins, and partner-sold customers, including cases that start outside our own products - Raise the bar and build with Claude: Set standards for reliability, observability, testing, and rollouts, mentor engineers, and use Claude heavily in your own work Minimum qualifications - Deep backend and distributed systems skills, including APIs, data models, event-driven systems, and third-party integrations - Experience building production software, including technical lead roles on multi-team projects - Experience building systems where correctness, access control, and auditability matter - A clear vision for how capable models like Claude can improve customer support, and motivation to build it - Judgment about when to ship a simple fix and when to invest in a platform - Track record of leading without formal authority and getting other teams to own and ship fixes Preferred qualifications - 8+ years building backend or platform systems in production, including 3+ years leading large-scale, complex projects or teams as an engineer or tech lead - Experience building and improving customer-facing products with measurable impact - Experience with billing, payments, or subscription systems - Experience shipping LLM-based or agentic systems in production - Experience building with helpdesk or contact center platforms such as Intercom, Zendesk, or Salesforce Service Cloud - Experience building internal tools or platforms for operations teams such as support, risk, finance, or trust and safety - Experience building data pipelines for support or operations analytics - Full-stack experience, including web UIs for internal tools or customer-facing flows - Experience with enterprise features such as SSO, admin controls, or provisioning, or with partner and cloud marketplace integrations - Experience setting multi-year technical direction for an area and growing other senior engineers 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.
AI Scientist - Agentic Engineering
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role Mistral AI is looking for AI Scientists with deep machine learning expertise and hands-on engineering experience to expand what Mistral's agentic tools can do across the engineering lifecycle across CAE (CFD, FEA etc) and EDA/Semi.. Within AI4Engineering Science, your core work is building the pre and post-training data for Mistral's LLMs to reason about and execute real engineering tasks. Alongside this, you'll help shape the agent architectures and harness that let these models operate reliably inside multi-step engineering workflows, not just answer isolated questions. You'll work closely with domain experts across CAE and EDA to ground this work in how engineers actually work, and with the broader research team to translate that domain grounding into training signal and evaluation benchmarks that measure genuine task competence. What You Will Do - Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA - Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for each engineering task, beyond surface-level plausibility - Design and improve agent architectures and harnesses: how models plan, call tools, recover from errors, and chain steps together across long-horizon engineering workflows - Build evaluation benchmarks and diagnostic tooling to identify where models fail on engineering tasks, and trace those failures back to gaps in data, reward design, or agent scaffolding - Collaborate with domain experts across CAEand EDA (and the science and solutions teams more broadly) to identify which engineering workflows are highest-value to target next - Contribute to Mistral's broader pre and post-training research, sharing findings and methodology across the science organization What We're Looking For - Fluent English with excellent communication skills, able to explain technical ML and engineering concepts to both engineering and non-technical audiences - Deep, hands-on machine learning expertise, particularly LLM development - Demonstrated experience running, debugging, and validating real engineering workflows in at least one of CAD, CAE, semiconductor simulation, or EDA. - You write clean, readable Python code and are comfortable in Linux/HPC environments - Self-directed, you don't need detailed roadmaps to make progress - Low-ego, collaborative, and eager to learn at the intersection of engineering and ML It would be great if you - Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks) - Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training - Have industrial or academic experience with CAE, or EDA tools (e.g. SolidWorks, CATIA, Fluent, Abaqus, LS-DYNA, STAR-CCM+, Cadence/Synopsys/Siemens EDA tools) - Have contributed to a large open-source or industry codebase - Have publications in engineering and ML venues (NeurIPS, ICLR, JFM, AIAA, etc.) 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 .
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