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Sales Onboarding Manager
Perplexity is hiring sellers fast, and every new seller has to learn a fast-moving product line: Enterprise, Comet, Computer and the API. We're looking for a Sales Onboarding Manager to own how new sellers go from their first day to selling on their own. You'll build the program, keep it current, run it, and certify that each seller is ready before they sell independently. This is a high-ownership, highly visible role on a small Sales Enablement team. You'll partner with the Sales Enablement Lead and work closely with sales leaders, frontline managers, Product, Product Marketing, Solutions and Revenue Operations. Your goal is a robust, relevant, progressive and measurable ramp that gets faster as we scale. About the role The Sales Onboarding Manager owns the onboarding experience for Enterprise and Commercial Account Executives (AEs) and Business Development Representatives (BDRs), from Day 1 through field certification. You'll design the curriculum, keep it up to date as the product changes, lead the sessions yourself, manage the logistics of placing each cohort into the right sessions, and run the certifications that decide when a new hire is ready. Company-wide new-hire orientation is owned by a separate onboarding role. Ongoing training for ramped sellers is owned by Sales Enablement. You'll partner with both so new sellers move smoothly from orientation into their sales ramp and then into working independently with ongoing training from Enablement. Responsibilities - Own the sales onboarding program. Co-design and run role-based ramps for BDRs and for Enterprise and Commercial AEs, including learning objectives, milestones and time-to-productivity targets for each stage. Where BDRs and AEs need the same foundations, they learn them together. Where the jobs differ, each gets its own track. - Build the BDR ramp. Teach new BDRs prospecting and outbound: ideal customer profile and persona research, account and territory rules, multi-channel sequences, cold calling, cold email, qualification, and clean handoffs to AEs. Get BDRs productive in the prospecting stack, including Salesforce, Apollo and the dialer. - Build and maintain content. Create and update modules, playbooks, talk tracks, demo guides, knowledge checks and self-paced content. Update materials as products, pricing, positioning and process change, and retire anything out of date. - Facilitate live sessions. Lead engaging, interactive sessions (virtual and in person) on Perplexity's products, sales process, customer personas, discovery, demos, objection handling and tools. Bring in subject-matter experts from Product, Product Marketing, Solutions and top sellers. - Run cohort logistics. Work with Recruiting and sales leaders to track incoming hires, assign each one to the right sessions for their role, segment and start date, and manage calendars, attendance, make-ups and pre-work. - Certify field readiness. Design and run role-specific certifications using clear rubrics. For BDRs, that means cold-call, email and qualification certifications. For AEs, it means pitch, discovery and demo certifications. Both roles also certify on tools. Calibrate scoring with BDR and sales managers, give actionable feedback, and decide when a new hire is ready to sell on their own. - Partner with frontline managers. Give managers visibility into each new hire's progress, flag risks early, and equip managers to reinforce onboarding through coaching and call reviews. - Measure and improve. Track completion, certification pass rates and ramp attainment. For BDRs, also track activity, meetings booked and accepted, and pipeline sourced. For AEs, also track time to first meeting, pipeline and closed business. Use the data and new-hire feedback to improve the program each cohort. - Scale with leverage. Use AI tools, including Perplexity's own products, to build content faster, personalize learning paths and automate repetitive logistics so the program keeps up with hiring. What we're looking for The best candidates are strong facilitators who also design programs and run operations well. You can command a room, build a curriculum from a blank page, and keep a complicated cohort calendar running smoothly. You hold a high bar for readiness and know how to tell a manager when a seller isn't there yet. Must-haves - 2–4 years in sales enablement, sales onboarding or sales training, ideally at a high-growth B2B SaaS or AI company. Experience carrying a quota or managing sellers is a strong plus. - A track record of designing and running a sales onboarding or ramp program end to end, with measurable impact on ramp time or productivity. - Excellent live facilitation, virtual and in person, with sellers at different experience levels, from early-career BDRs to seasoned AEs. - Experience designing and running certifications or skills assessments (such as cold-call, pitch, discovery or demo) using rubrics that sales managers trust. - Strong program management and operational rigor. You can run several overlapping cohorts, schedules and stakeholders without dropping details. - Working knowledge of modern sales methods (such as MEDDICC, Command of the Message or similar), outbound prospecting and the full sales cycle from first touch to close. - Comfort learning technical products quickly and explaining them clearly. You can learn an AI product well enough to teach and demo it. - Fluency with the sales tech stack, such as Salesforce, a conversation-intelligence tool and an LMS or content-management platform. - High ownership and comfort with ambiguity in a fast-moving environment where the product changes weekly. Nice to have - Experience onboarding sellers for AI, developer or other technically complex products. - Background in instructional design or adult learning. - Previous experience as a BDR/SDR or as a BDR/SDR manager. - Experience building onboarding for both Enterprise and Commercial/velocity sales motions, or for Customer Success roles. - Experience standing up enablement tooling (LMS, content hub, call library) or reporting on ramp metrics. - Experience using AI to build content or automate enablement operations
Customer Success Lead
As Customer Success Lead at Perplexity, you’ll lead the team responsible for helping enterprises adopt Perplexity Computer and our API products, turning adoption into measurable business value. You’ll own the customer success strategy and operating model, lead CSMs across customer segments, and be accountable for gross and net revenue retention across the post-sale book, with expansion targets shared with Sales. This is a hands-on leadership role. You’ll stay close to customers and the product while building the team, programs, and cross-functional partnerships that help us scale. Responsibilities - Own gross and net revenue retention for the customer base, including renewal forecasting, risk management, and expansion targets shared with Sales - Set the customer success strategy, and coverage model across high-touch Enterprise, scaled SMB and Mid-Market, and technical API customers - Hire, coach, and develop CSMs across customer segments, establishing a regular cadence of 1:1s, account and renewal reviews, and a clear bar for performance and product expertise - Build the playbooks the team runs on, including Sales-to-CS handoffs, onboarding, customer success plans, health scoring, executive business reviews, and escalations - Partner with Applied AI and Enablement to build onboarding, workshops, champion programs, and scaled education that help customers reach first value and sustain adoption - Help customers connect adoption and consumption to business outcomes, understand usage and cost trade-offs, and build a clear case for renewal and expansion - Partner with Sales to identify self-serve customers ready to move to Enterprise and to plan expansion in named accounts - Work with RevOps and Finance on capacity planning, account assignment, book-of-business design, and accurate reporting in Salesforce - Partner with cross-functional teams to deliver a cohesive customer journey, with clear ownership and handoffs from onboarding through adoption, renewal, and expansion - Coordinate customer readiness and communications for product launches, migrations, pricing and usage changes, and incidents, partnering with Product, Marketing, Support, and Engineering on accurate guidance - Bring customer needs and recurring friction into product planning, and close the loop with customers on decisions and progress - Engage executive sponsors at our largest accounts and step in personally on strategic adoption efforts, high-stakes renewals, and escalations while building the team’s ability to own day-to-day execution You may be a good fit if - You have 10+ years in customer success, account management, or post-sales roles at enterprise software companies - You have 5+ years leading CS teams, with a track record of hiring, coaching, and developing high-performing CSMs - You’ve owned GRR and NRR targets and can show how your team moved them - You’ve built or rebuilt a CS function during rapid growth, not only run an established one - You’ve run both high-touch and scaled or digital coverage models and know when each one fits - You can show how your team helped customers move from initial onboarding to sustained adoption and measurable business outcomes - You’re comfortable with usage and consumption data, and ideally have supported usage-based or API products - You have strong command of Salesforce, forecasting, and customer health tooling - You’re hands-on with AI products and can build enough product fluency to understand customer workflows, diagnose adoption barriers, and earn trust with business and technical stakeholders - You communicate clearly with executive buyers, administrators, and technical teams, including during sensitive product changes or escalations - You’re comfortable operating without an established playbook, using AI and automation where they improve execution and knowing where human judgment matters
B2B Marketing - India
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 senior B2B Growth Marketer to build and scale demand generation for ElevenLabs in India. This is a hands-on, in-country role focused on generating enterprise pipeline, growing our brand with technical buyers, and creating programs that become benchmarks for B2B marketing in AI. Your work will shape how Indian businesses discover, evaluate, and adopt ElevenLabs. The goal is to build repeatable marketing engines that make ElevenLabs the top choice for every enterprise. What you'll do - Build integrated B2B marketing campaigns end to end across India's priority industries from strategy and messaging through execution and measurement. - Localize and execute programs across ABM, content, events, webinars, partner/customer marketing, executive branding, product launches, and outbound - choosing the right channel for the problem rather than owning a single function. - Adapt global campaigns and messaging for the Indian market, and feed local insights (buyer behavior, competitive dynamics, regulatory context) back to the global team. - Partner closely with local sales and the global product marketing, growth, and design teams to keep messaging consistent and execute high-impact campaigns. - Own pipeline generation and campaign performance for the market, using data to measure results, run experiments, and continuously improve what works. Requirements - 5 to 7 years of experience at a high-growth technology company - you've built and scaled B2B demand generation programs that created measurable enterprise pipeline, and you know what moved the needle. - Ownership Pedigree: You have implemented growth and marketing projects from start to finish and held yourself accountable for the ROI. - Deep knowledge of the Indian market: its enterprise buyers, media landscape, and business culture, ideally with an existing network. - Work well without much process. This role spans multiple marketing functions and needs someone who sets priorities, spots opportunities, and moves quickly as our first marketer in the market. - Relentless commitment to excellence — a high bar for quality, clarity, and impact. - Curious about AI, follows the technology ecosystem closely, and has exceptional judgment on what makes marketing stand out. 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.
Talent Partner, G&A (Contract)
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We are hiring for this role on a full-time contract basis to provide paternity leave coverage through the end of June 2027. Cohere is in a unique and exciting position to grow our go-to-market teams globally! We are hiring for this role on a full-time contract basis to provide paternity leave coverage through the end of June 2027 . We are looking for creative, high-performing talent partners who are eager to take on a new challenge as we are in the early stages of building the Talent Acquisition function. In this role, you will master a new domain of recruiting, hire world-class business talent, and influence the scaling of a high-growth Canadian tech company. If you consider yourself resilient, collaborative, influential, and a lifelong learner with an established network, we’d love to hear from you! As a Talent Partner, you will: - Build, own, and nurture a strong pipeline of world-class business talent across People, Finance, Revenue, Marketing & Communications, and Operations - Deliver a world-class recruiting experience that reflects Cohere's premium brand - Partner with hiring managers and talent partners to find and engage passive talent through creative sourcing methods - Maintain deep market intelligence on business talent trends and competitive landscape - Manage comprehensive recruiting funnels in our ATS, updating progress and analytics regularly - Develop creative, proactive sourcing approaches to optimize the top of the funnel for business roles - Cultivate relationships with established networks across business communities and industry leaders - Identify and own additional high-impact talent projects as they emerge Who you are: - You have 5+ years of experience recruiting for business roles across Sales, Finance, Revenue, Marketing & Communications, and Operations in markets like EMEA/US etc. - You have a proven track record of hiring candidates in high-growth and a high-bar environments (startup, technology, AI experience strongly preferred) - You bring an established, high-profile network in business communities - You're a creative problem solver who thrives in fast-paced, ambiguous environments - You're a natural influencer with exceptional relationship-building skills - You leverage data and analytics to drive sourcing decisions and measure effectiveness - You're passionate about diversity, equity, and building inclusive business teams - You have a strategic mindset with the ability to see beyond immediate hiring needs Why Cohere - Impact: Shape the future of AI talent at a cutting-edge company. - Culture: Collaborative, innovative, and mission-driven. - Growth: Join a team scaling from 800 to 2000+ over 18 months. 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.
PR & Communications Manager - Germany
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 Overview Cohere has a strong AI narrative, the most deployable product, and a CEO who co-authored the foundational paper of modern AI. Following its recent partnership with Aleph Alpha, the company is positioned to become the transatlantic leader in sovereign AI for enterprise and government, and needs a storytelling engine to deliver that story at scale. This role sits within the team that is building that engine. In this cross functional role, you will stand up our PR and Communications function in the German market. You'll partner with the Global Corporate Communications team and EMEA Communications team to create a regional communication plan that fuels our growth among governments and enterprises in the most highly-regulated industries across DACH. You’ll nurture how we talk to customers, partners, and employees, ensuring that the corporate message resonates culturally for the German market and its audiences. This is a rare opportunity to build a comprehensive German PR function at a fast-growing company in the most dynamic space in technology. This is a role for someone who likes to take big swings – and have fun doing it – where no job is too big or too small. Key Responsibilities As the Communications Manager for Germany, you will: - Own and drive Cohere’s German communications strategy, aligning corporate priorities, business objectives, product innovation, executive visibility and technical differentiation to strengthen the company’s reputation in Germany - Translate Cohere’s innovations and customer success stories into compelling, locally relevant narratives for German-speaking audiences - Lead proactive media engagement and newsjacking opportunities in close collaboration with EMEA Communications and EMEA Government Affairs, capitalising on relevant industry and policy developments to amplify Cohere’s voice - Elevate the profile and influence of Cohere’s German leadership and spokespeople by partnering with Executive Communications to develop strategic messaging, thought leadership, media opportunities and executive visibility programmes, including for the German Country Manager. - Strengthen Cohere’s reputation through customer- and partner-led storytelling, working closely with Partner Marketing to showcase German customer outcomes, deepen strategic relationships and amplify the impact of Cohere’s ecosystem in the local market. - Lead and coordinate German crisis and issues communications, partnering with Corporate Communications and relevant local and regional teams to anticipate reputational risks, develop response strategies and ensure clear and timely communications. Qualifications - Have 7-10 years of experience in B2B communications in DACH, or technical content, ideally in AI, enterprise software, or developer‑focused environments - Have a talent for translating complex topics into different languages without losing nuance - Are experienced at managing PR agencies in the German market - Have experience and/or heavy interest in policy and regulatory communications, particularly within the German/EU regulatory environment - Have experience running communications strategies for the DACH region - Are highly organized and detail‑oriented with strong project management skills and a bias for action - Are comfortable navigating ambiguity and thrive in fast‑moving, high‑growth environments - Build strong cross‑functional relationships to drive clarity, consistency, and alignment across teams 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.
Trusted Access Lead, Critical Harm Operations
About the team Trusted Access helps eligible customers access and use advanced AI capabilities with appropriate safeguards. Within User Safety & Risk Operations, we connect customer onboarding, eligibility review, access provisioning, and support into a service customers can navigate with confidence. We work with Product, Engineering, technical support, regional operations, and customer-facing teams to resolve difficult access problems and improve the systems behind them. Our work combines sound judgment on individual cases with better products, clearer guidance, and automation that reduces unnecessary friction. About the role We’re looking for a senior operations leader to own the Trusted Access operating strategy and lead a team of risk-operations specialists. You will set priorities across programs, build a reliable customer access service, and hire, manage, and develop your direct reports. This role combines program ownership with formal people management. You will establish shared commitments with technical support and regional escalation leaders, who manage their own teams, and bring those groups together around customer outcomes. You’ll stay close enough to complex cases to challenge assumptions while giving specialists the ownership and capacity to fix recurring problems. Success means customers reach the right access outcome with clear communication, teams make consistent decisions, and the service scales with less avoidable escalation and manual work. In this role, you will: - Own the operating strategy and roadmap across Trusted Access programs, translating customer needs and organizational priorities into clear service commitments, ownership, and investment decisions. - Build a coherent customer journey from application and eligibility review through approval, provisioning coordination, and confirmed access, including appeals and subsequent access changes. Establish clear handoffs and route exceptions to authorized decision-makers. - Hire, coach, and develop your team. Set expectations, delegate meaningful ownership, give direct feedback, address performance gaps, and build the capabilities needed as programs grow. - Make capacity and prioritization decisions across urgent customer needs, launch readiness, and lasting improvements. Coordinate regional coverage, vendor support, and backup with partner teams while protecting time to eliminate recurring work. - Lead consequential customer escalations, bringing incomplete or conflicting evidence into a clear decision process. Align owners on the next action and ensure customers receive accurate updates and a clear resolution. - Turn support patterns into a prioritized roadmap with Product and Engineering: improve onboarding, provisioning workflows, tooling, self-service, and AI-assisted operations. Validate that changes work before expanding them. - Establish measures of service health and decision quality. Distinguish fast responses from actual resolution, investigate persistent delays, and use evidence to change priorities. - Prepare new programs and customer channels for launch and scale. Align support responsibilities, review standards, customer guidance, and technical dependencies; make readiness gaps and tradeoffs clear to leadership. You might thrive in this role if you: - Have built and run complex customer support, onboarding, access, risk, or service operations, with measurable improvements beyond handling more volume. - Have formally managed people through hiring, development, difficult feedback, and performance decisions, and can show how your leadership increased the team’s capability and ownership. 5+ years of management experience preferred. - Can make defensible tradeoffs among customer commitments, safeguards, service quality, and capacity, even when stakeholders disagree or the evidence is incomplete. - Have led work across teams you do not manage, resolving ownership gaps and negotiating commitments that hold up in execution. - Are analytically and technically fluent enough to diagnose workflow failures, evaluate automation, and partner effectively on product and provisioning changes. - Communicate with precision and empathy, from explaining an access blocker to a customer to presenting a difficult investment decision to leadership. 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.
Service Designer, Intelligence & Investigations
About the Team The Intelligence and Investigations (I2) team provides intelligence to decision makers across OpenAI and investigates severe misuse of our products. I2’s work saves lives: we disrupt real-world violence, protect children, and prevent catastrophic harms from AI misuse. We draw on our investigations and in-depth analysis of a wide range of data sources to provide actionable quantitative and qualitative intelligence to OpenAI’s leadership. Our analysts and investigators make sense of complex data to understand emerging risks and investigate severe misuse. They work closely with engineers who build tools that extend what human experts can see and do. The design of the investigative workflow shapes how effectively people can use those tools and act on what they learn. About the Role We’re hiring a service designer to shape how investigative cases move through OpenAI, from the first signal through review and action. You’ll work alongside investigators to understand what each case requires and how the overall workflow shapes what investigators can accomplish. You’ll bring that perspective to the people who shape investigative operations and the engineers who build the underlying systems. Together, you’ll decide where a change would help and see how it works in real cases. In this role, you will - Work alongside investigators to understand how cases move across teams and systems. Consider what that process means for people at risk, people whose activity is under review, and the people responsible for acting on a finding. - Combine what you learn from individual cases with operational data to decide where a change would help most and whether it calls for a change in the workflow, the tools, or both. - Lead the cross-team work of mapping investigative workflows, designing improvements with the people who use and operate them, and putting agreed changes into practice. - Guide engineering decisions about how investigative systems fit together to support the overall workflow. - Follow changes into use. Look for whether they help investigators act in time, make well-supported decisions, and sustain demanding work. You might thrive in this role if you - Have experience designing services around the needs of the people who use and run them. - Enjoy learning how specialists work. You can draw on their different perspectives to understand a service that no single team sees in full. - Have worked with operational and engineering teams to put a service design into practice. You’re comfortable discussing how a technical choice in one part of a workflow affects people elsewhere. - Care about what happens after a design goes into use. You’re curious whether a change that helps one team also improves how a case moves through the full investigation workflow. 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.
LATAM Public Policy Associate
About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Achieving this goal requires deep engagement with policymakers, regulators, institutions, and communities shaping the future of AI. The Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to ensure that external perspectives inform our work and that policy frameworks support the safe and beneficial development of AI. We work closely with research, product, policy, legal, communications, and go-to-market teams to anticipate emerging issues, shape responsible policy outcomes, and advance OpenAI’s mission around the world. About the Role OpenAI is seeking a Latam Public Policy Associate to support its public policy work in Brazil and help coordinate regional initiatives across Latin America. This individual contributor role reports to Nicolas Andrade. Brazil will remain the role’s primary focus, building on ongoing policy research, stakeholder engagement, and program delivery. The role will also provide program management and general support on regional policy issues, working with the Head of LATAM Public Policy and colleagues across OpenAI. Regional assignments will be agreed with Nicolas Andrade. In this role, you will: - Monitor legislative, regulatory, and political developments relevant to OpenAI in Brazil, and prepare concise updates on their implications for the team. - Draft policy research, briefing notes, talking points, presentations, and correspondence for internal discussions and external engagements. - Support Brazil stakeholder engagement with government, regulators, civil society, academia, and industry, including meeting preparation, stakeholder mapping, and follow-up. - Coordinate selected public policy programs and initiatives across Latin America, maintaining workplans, owners, milestones, deadlines, and action items. - Provide research and general support on regional policy questions, consolidating country-team input and preparing comparative summaries and briefing materials. - Support events, roundtables, executive visits, partnerships, and educational initiatives, including logistics, materials, stakeholder coordination, and follow-up. - Work with policy, legal, communications, partnerships, and other relevant teams to obtain input, track reviews, and keep agreed activities on schedule. - Help adapt and review policy and program materials for Brazilian audiences, coordinating with local colleagues on materials for other Latin American markets. - Maintain shared trackers, engagement records, and regular updates on program progress, outcomes, risks, and next steps. You might thrive in this role if you: - Enjoy combining policy research and writing with practical coordination and delivery. - Are organized, attentive to detail, and reliable in following through on commitments. - Work collaboratively across teams and countries, and communicate clearly when priorities or timelines change. - Exercise sound judgment and discretion, know when to seek guidance, and are curious about AI and its implications for the region. We're looking for a blend of: - 6+ years of experience in public policy, government relations, policy research, or a related field, including work on technology or digital policy. - Familiarity with Brazilian institutions and legislative and regulatory processes, and an interest in policy developments across Latin America. - Experience preparing clear research, briefings, and written materials for different audiences. - Experience coordinating projects or programs involving multiple stakeholders, with the ability to manage timelines, track deliverables, and follow up. - Strong written and verbal communication skills in Portuguese and English. Spanish proficiency is a plus. - An academic background in political science, public policy, law, international relations, or a related field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Commissioning and Quality Program Manager
About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The Compute team sets core infrastructure strategy and executes at global scale—spanning site selection through full buildout, in close partnership with internal and external stakeholders. About the Role We’re hiring a Commissioning and Quality Program Manager to oversee quality assurance, quality control and commissioning across all phases of our global hyperscale data center program. You will oversee the delivery quality for a massive portfolio of projects across several campuses. You’ll ensure work meets or exceeds OpenAI’s design standards, performance requirements, and reliability expectations—from early construction through commissioning and turnover to operations. You’ll own development and enforcement of QA/QC standards, inspection protocols, commissioning scope, and acceptance criteria, working closely with contractors, design teams, and commissioning partners to embed a quality-first culture. Travel: Up to 50% Key Responsibilities - Develop and maintain the portfolio-level QA/QC program for hyperscale data center construction (standards, checklists, acceptance protocols). - Review and approve developer QA/QC and commissioning plans for alignment with project specs and industry best practices. - Oversee site inspections across civil, structural, architectural, mechanical, and electrical scopes. - Validate installation quality against drawings, specifications, and manufacturer requirements. - Monitor and track punch list items, NCRs, and corrective actions with the developer and contractors, including critical Method of Procedure (MOP) work. - Partner with the developer’s commissioning teams to ensure QA/QC documentation supports readiness for both functional and integrated testing. - Validate functional and integrated systems testing completion in preparation for OAI acceptance. - Maintain real-time quality tracking and reporting dashboards for program leadership. - Train and guide site teams on quality expectations, inspections, and documentation standards. - Drive continuous improvement by capturing lessons learned and updating standards for future sites. Qualifications - Have 10+ years managing quality and commissioning for mission-critical, hyperscale, or complex commercial developments. - Have deep technical knowledge of construction means/methods and quality standards across major trades. - Can interpret design documents, specs, and submittals to verify field compliance. - Have experience developing and implementing quality management systems at program or portfolio scale. - Communicate effectively with executives, contractors, and site teams—translating findings into actionable recommendations. - Proactively identify quality risks before they impact cost or schedule. - Thrive in fast-paced, complex environments and can drive accountability across stakeholders. Preferred Skills - This role is central to ensuring every system is delivered to spec, on time, and built to last—supporting OpenAI’s reliability expectations across a global hyperscale build program - Experience delivering QA/QC and commissioning programs for hyperscale data centers (e.g., >50MW campuses) across multiple regions. Familiarity with industry commissioning standards and frameworks (e.g., ASHRAE, Uptime Institute, CSA, BICSI). - Deep expertise in mission-critical MEP systems, including power (MV/LV), cooling (chilled water, DX), controls, and redundancy architectures (N, N+1, 2N). - Experience working with JDM/ODM or developer-led delivery models, including navigating multi-party accountability structures. - Proven track record managing third-party commissioning agents (CxA) and integrating their work into broader program QA/QC frameworks. - Strong understanding of digital QA/QC and commissioning tools (e.g., Procore, BIM 360, PlanGrid, CxAlloy, Bluebeam, or similar platforms). - Experience building and scaling portfolio-level quality dashboards and reporting systems for executive visibility. - Ability to operate effectively in global environments, including managing cultural, regulatory, and contractor differences across regions. - Background in failure analysis, root cause investigation, and reliability engineering for mission-critical infrastructure. - Bachelor’s degree in Engineering, Construction Management, or related field (advanced degree or professional certifications such as PE, PMP, CxA, LEED are a plus) About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Art Director
About the Team OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the work behind that idea is understood, as it leaves the lab and meets the world. This company works at the frontier of intelligence. Like any frontier, it’s unfinished, constantly shifting, and still being explored. Our job is to stay close to that uncertainty and help shape how this story gets told, in a way that feels grounded and human. We do this through campaigns, launches, films, brand systems, and work that doesn’t fit neatly into any of those categories yet. This team is for people who want to help shape something from the beginning. About the Opportunity We’re looking for a hands-on Art Director to help develop and make work across campaigns, research launches, and social. In the near term, you’ll focus on supporting research-related creative projects and launches, with opportunities to contribute more broadly. You’re a visual thinker and a maker: someone who can find a strong visual idea, build a quick prototype, and carry it through to execution. You bring craft, curiosity, and resourcefulness, and enjoy creating content across mediums with a small team, a short timeline, or an evolving brief. You’ll bring art direction and visual storytelling to projects that turn complex technology into ideas people connect with. Working closely with creative leads, copywriters, designers, and other creative partners, you’ll develop the visual approach and bring a distinctive point of view from concept through execution. This role is based in New York City and works across campaign and social, in close collaboration with OpenAI’s Creative, Marketing, Product, and Communications teams. In this role, you will: - Develop and make visual ideas across campaigns and social, from the first concept through launch, supporting priorities across the creative team - Own hands-on art direction and design for assigned projects, partnering with copywriters and other creatives to bring clear, distinctive stories to life - Prototype quickly through visual concepts, mockups, storyboards, rough edits, and other working examples that help the team test and develop ideas - Create visual work across formats, including short-form video, social posts, digital experiences, and campaign assets, adapting ideas to the medium and audience - Collaborate with cross-functional teams, creators, and production partners, staying close to execution and using feedback to improve the work You might thrive in this role if you: - Have 8+ years of relevant experience - Bring a strong portfolio of campaign and social work that shows original thinking, distinctive art direction, and what you personally made, from early experiments to finished work - Have strong craft in art direction and design, with the range and curiosity to build across mediums and a strong instinct for culture and social platforms - Are a resourceful maker who can prototype, create, and iterate independently within an established creative direction, using the tools that best bring an idea to life - Enjoy working quickly with lean teams and evolving briefs, balancing strong craft with the judgment to know when to test, refine, or ship - Enjoy partnering closely with copywriters, designers, and other creatives, welcome feedback, and collaborate generously with creative and cross-functional teams About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Solutions Architect - Australia
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. About the Role As a Solutions Architect, you’ll work with some of the world’s most sophisticated organizations to answer a new question: what should a company look like when AI agents become part of how work gets done? We’re hiring Solutions Architects to help strategic customers make AI-native work real in production on the Grok platform, using Grok Bot for knowledge work and business workflows and Grok Build (Cursor) for AI-native software development. This role will be based in Sydney. This is a hands-on technical role within the Customer Success organization, where you’ll partner with AI Deployment Managers (ADMs) to own the technical track across architecture, workflow redesign, and enterprise security while helping organizations rethink how they operate and how they build software with AI. You’ll help customers move from excitement to workflows teams rely on every day by discovering real job friction, integrating Grok Build into codebases, CI pipelines, and code review, and designing scoped Grok Bot workflows with human-in-the-loop judgment. The best Solutions Architects pair technical credibility with product instincts and extreme ownership, and they are as comfortable debugging a CI workflow or leading an architecture review as helping executives, from CTOs to the CRO, CMO, CFO, and COO, understand where AI changes how the business runs and how software is built. What You’ll Do Help Engineering Teams Adopt AI-Native Development with Grok Build (Cursor) - Roll out Grok Build across strategic engineering organizations and integrate it into real codebases and production workflows rather than isolated demos. - Configure developer environments, repository rules, and conventions, and run hands-on enablement that drives fast, durable adoption. - Bring agentic SDLC practices into the customer’s delivery process, from planning and implementation through testing, CI, and code review, and clear developer workflow friction along the way. - Keep a strong hands-on Build baseline by shipping runnable, convention-driven work in Grok Build yourself. Engage Customers on the Grok Bot Journey - Use Grok Bot to turn a business user’s problem into an accepted user story and requirements that flow into Jira and through the agentic SDLC in Grok Build. - Lead discovery for knowledge-work and business-process use cases and redesign high-value workflows around AI agents, enterprise tools, data, and human judgment. - Help customers operationalize agents with ownership, integrations, and guardrails. Expand Across the Organization - Establish a data governance and security framework that lets leadership adopt the Grok platform top down across the enterprise. - Help engineering organizations move from isolated usage to company-wide adoption by turning successful deployments into reusable patterns and rollouts for new teams and platform groups. - Partner with ADMs and Account Executives to find and drive major expansion opportunities for the Grok platform. Become a Trusted Technical Partner - Build multi-threaded relationships with developers, platform teams, engineering and business leaders, and executive sponsors, and turn skeptics into champions. - Lead architecture reviews and working sessions, and advise on what to build, developer productivity, workflow design, governance, and adoption strategy. - Prototype alongside customers by connecting systems, designing agents and workflows, and debugging failures until ambiguous ideas become working systems. - Reason about trust boundaries with CISOs and platform owners, covering identity, permissions, data access, connectors and MCPs, execution environments, network controls, auditability, and human approval, and know when to escalate to specialists. - Partner with ADMs from meeting prep through active participation, and coordinate with Sales, Product, and Engineering to unblock customers. Drive Real Customer Outcomes - Translate adoption into measurable impact, from faster iteration, developer productivity, and engineering quality to workflow efficiency, and help customers communicate that value internally. - Help teams standardize on the Grok platform and embed it deeply in core workflows, and lead recovery plans when adoption slows or competing tools gain traction. Shape the Future of the Product - Bring structured feedback, emerging patterns, and enterprise requirements across Grok Bot and Grok Build from strategic customers into Product and Engineering. - Shape new capabilities alongside lighthouse customers whose deployments set the standard for the market. You Might Be a Fit If - You have deep technical foundations across APIs, software architecture, cloud infrastructure, data, identity, security, and enterprise integrations, often from a software engineering, FDE, SA, platform, developer tooling, or business-process automation background. - You have a strong understanding of developer workflows, SDLC tooling, continuous integration and delivery systems, code review, and enterprise engineering environments, ideally with hands-on experience in Cursor or similar AI coding tools. - You bring customer-facing technical experience as an SA, SE, FDE, TAM, enterprise architect, or integration consultant, working hands-on with engineering teams while operating strategically with technical leadership. - You bring high drive, ownership, curiosity, adaptability, and systems thinking, along with strong prep habits and comfort in fast-moving ambiguity. - You have experience designing workflows that span tools, data, APIs, and human processes, not only IDE-centric developer workflows. - You bring a working grasp of security and compliance, or a clear path to one, and can walk customers through scenario-based guardrails. - You have excellent communication skills across technical, executive, and business audiences and strong instincts for discovery, workflow design, and adoption strategy. - You bring a passion for developer tooling and for how AI will reshape software engineering and knowledge work. - You bring a willingness to travel to customers as needed.
Trusted Access Specialist, Critical Harm Operation...
About the team Trusted Access helps eligible customers access and use advanced AI capabilities with appropriate safeguards. Within User Safety & Risk Operations, we connect customer onboarding, eligibility review, access provisioning, and support into a service customers can navigate with confidence. We work with Product, Engineering, technical support, regional operations, and customer-facing teams to resolve difficult access problems and improve the systems behind them. Our work combines sound judgment on individual cases with better products, clearer guidance, and automation that reduces unnecessary friction. About the role We’re looking for a senior operator to own and improve the customer access workflow for an assigned Trusted Access program. You will connect application and eligibility review, approvals, appeals, provisioning coordination, and support so customers can reach a clear, reliable outcome. Your primary focus will be improving how the program works. You’ll use complex customer cases to uncover recurring problems, then deliver product, automation, self-service, and support-process improvements. You’ll also own difficult eligibility and access escalations, helping customers and account teams understand what is blocking progress and driving the right partners toward resolution. This role combines independent workflow ownership with hands-on operational judgment. Success means customers reach usable access with fewer avoidable delays, decisions remain accurate, and the workflow runs reliably through the people and systems you enable. In this role, you will: - Own the operational workflow for an assigned Trusted Access program, from application through confirmed access and subsequent changes. Identify where customers get stuck and prioritize improvements by customer impact, risk, and effort. - Investigate complex eligibility, onboarding, and access cases. Reconcile approval, verification, account, workspace, and provisioning records; apply approved requirements within your authority and bring exceptions to the appropriate decision-maker. - Drive customer and account-team escalations through resolution. Establish the blocker, maintain clear ownership across handoffs, communicate realistic next steps, and confirm that the customer can use the intended capability. - Turn recurring case patterns into product and process changes with Product, Engineering, and customer-facing partners. Define the problem and requirements, help validate the fix, and measure whether it reduced repeat contacts or manual work. - Build guidance that makes reliable resolution repeatable: support playbooks, help-center content, training, and quality checks. Enable frontline and outsourced support teams to handle more cases accurately and independently. - Use data to distinguish fast ticket closure from better access outcomes. Diagnose delays, rework, and decision errors, and use the findings to refine your workflow and priorities. - Develop and validate AI-assisted workflows and automation with technical partners. Establish checks, human review, and fallback paths appropriate to the decisions involved. - Maintain clear documentation and qualified backup across programs. Share what you learn so improvements continue working when another specialist takes ownership. You might thrive in this role if you: - Have independently owned and improved customer support, onboarding, access, risk, or product-operations workflows in a complex service environment. - Can show durable improvements you delivered through product changes, self-service, automation, or partner enablement, with evidence of adoption and better customer outcomes. - Exercise sound judgment when records conflict, requirements are unclear, or customers need urgent help. You can separate what the evidence supports from what still needs an authorized decision. - Are comfortable investigating across customer, account, approval, and access systems, and can translate operational problems into clear requirements for technical partners. - Use operational data to identify root causes, prioritize work, and evaluate whether a change improved the service. - Communicate with clarity and empathy under pressure, and can explain a difficult access decision or unresolved blocker without making unsupported commitments. - Build trust across teams you do not manage and follow through from a proposed improvement to reliable day-to-day operation. 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 Procurement Manager – Infrastructure Comple...
About the team Hardware Procurement Operations enables OpenAI’s hardware and infrastructure businesses to execute supplier engagements and purchases at speed while maintaining financial discipline, clear ownership, and effective controls. Our work spans procurement execution, process and systems enablement, and lifecycle governance—from initial requests and agreements through purchasing, payment, and closeout, with related asset and inventory governance. We build practical operating models, resolve cross-functional barriers, and improve the tools and processes that help teams scale. About the role You will own procurement execution for complex infrastructure deals, including land transactions, lease agreements, power purchase agreements, and fast-moving colocation and fiber engagements. Scope may expand to cloud service provider (CSP) engagements and sourcing activities as business needs evolve. This senior individual contributor role combines hands-on lifecycle management with commercial judgment and building scalable operations. You will recognize gaps in proposed supplier engagements, work with business owners, sourcing, Legal, and Finance to improve them, and translate agreements into executable purchasing and payment plans. You will also build standard processes and automation that help teams move faster while reducing deal risk. In this role, you will: - Drive assigned engagements from intake and agreement execution through purchasing, ongoing obligations, amendments, renewals, final payments, and closeout. - Assess commercial and operational readiness, identify gaps in scope, deliverables, acceptance criteria, and payment terms, and drive resolution with the appropriate partners. - Resolve commercial, financial, and operational dependencies, aligning owners on required reviews and approvals. Represent procurement operations in deal planning and senior stakeholder escalations, presenting clear recommendations on commercial readiness, risks, and execution tradeoffs while respecting each function’s decision authority. - Maintain accurate obligation and purchasing records; coordinate payment readiness, acceptance evidence, invoice exceptions, and reconciliation with business owners, Treasury, Accounting, and Accounts Payable. - Establish procurement operating standards and influence business, sourcing, Legal, and Finance partners to adopt practices that improve supplier engagement quality, accelerate execution, and reduce risk. Build the processes, templates, playbooks, and upstream review cycles that make those standards actionable. - Design, implement, and manage workflow automation and AI agents, partnering with technical teams where needed; own testing, adoption, monitoring, exception handling, and appropriate human review and approval controls. You might thrive in this role if you: - Have independently managed complex procurement engagements through post-signature execution and closeout, with experience in at least one infrastructure category such as land, leases, power, colocation, or fiber. - Can distinguish well-structured supplier engagements from those that create avoidable ambiguity or exposure, recommend practical improvements, and recognize when Legal or Accounting judgment is required. - Understand contractual obligations, payment structures, and procurement controls, and can translate them into clear execution plans. - Can independently prioritize time-sensitive engagements, navigate ambiguity, and resolve cross-functional dependencies, seeking guidance on complex or consequential decisions. Communicate risks and tradeoffs clearly and influence senior stakeholders without formal authority. - Have built repeatable processes in an ambiguous environment and use procurement, contract management, and ERP systems and operational data to improve execution. - Have delivered workflow automation or AI agent solutions with measurable results and can manage their reliability, exceptions, and controls. Additional experience that would be useful: - Experience across multiple infrastructure categories, CSP commercial models, multi-entity purchasing, milestone payments, or escrow arrangements. - Zip, Oracle, Ironclad, or comparable platforms; workflow configuration, low-code tools, APIs, or scripting. What success looks like: - Business, sourcing, Legal, and Finance partners adopt shared operating standards, templates, and early review cycles, improving engagement quality and contracting readiness. - Request-to-agreement execution and request-to-PO cycle times improve measurably, alongside fewer preventable delays, missed obligations, invoice exceptions, and financial or contractual exposures. - Engagements remain actively managed through final payment and closeout, with dependable visibility into obligations, risks, ownership, and payment readiness. - Automation and AI agents reduce manual effort and improve speed and accuracy while maintaining effective controls. 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.
Program Manager, Local Community Impact
About the team Our Community team builds direct relationships with people who use OpenAI’s technology, helps others learn from their experiences, and brings their insights back to product and research teams. Our programs connect communities with trusted partners who help organizations adopt AI effectively. About the role We’re hiring a Program Manager to build and run our partner network. You will turn an early program into a reliable operation: recruit and onboard partners, coordinate agreements and payments, manage external service providers, support local events and marketing, review service quality, and improve the program as we learn. This partner network will be on the ground in communities helping people–from small businesses, non-profits, and community organizations–experience concrete benefits from our technology. They will set up useful workflows, learn OpenAI tools and become more confident, independent users. You should be as comfortable helping a partner resolve an onboarding issue as you are designing the systems that prevent it from happening again. You will work with local operators and internal teams to make sure commitments are clear, work gets done, and the people we serve receive useful, high-quality support. What you will do - Build the partner operating model, from sourcing and selection of partners through onboarding, ongoing support, renewal and exit. Establish clear expectations, owners, timelines and escalation paths. Create a scalable operating model that supports program growth and evolving partner needs. - Run partner onboarding with Legal, Finance and Procurement: track agreements, required information, vendor setup, readiness and start dates so partners can begin work and receive payments through approved processes. - Manage partner payments, reporting and related operational processes. - Plan and support local workshops, deployments and events with partners. Coordinate audiences, venues, budgets, materials, staffing and follow-up while preserving local ownership. - Coordinate program marketing and communications with Community, Marketing and content partners. Develop clear partner guidance, route brand and messaging approvals, and help useful stories and practices reach the right audiences. - Build trusted relationships with local operators and the organizations they serve. Coach partners, answer questions, address service-quality concerns and set clear boundaries around access, funding and program participation. - Create practical systems for the partner community: intake, a shared knowledge base, service logs, regular check-ins and reusable playbooks that reduce manual work without sacrificing quality. - Develop and operate partner review processes with the hiring manager and relevant teams. Combine verified service delivery, beneficiary feedback and sustained product use to understand performance and improve support. - Collaborate with analytics and product teams to assess program impact using appropriate data and feedback. - Manage budgets, vendors, risks and dependencies across the program. Keep stakeholders informed, surface decisions early and bring recurring partner feedback into program and product improvements. You might thrive in this role if you - 8+ years owning a complex partner, community or operational program from early design through execution at scale, with clear examples of what you personally built and improved. - Bring strong operational judgment and follow-through across onboarding, financial workflows, events and multiple stakeholder groups. - Can earn trust with small-business owners, local technical operators and community leaders, explain expectations plainly and have difficult conversations when needed. - Have practical familiarity with ChatGPT, Codex and AI-enabled workflows, and can work credibly with technical specialists while explaining tools to people with less technical experience. - Use data and qualitative feedback to distinguish meaningful outcomes from activity counts, and can improve a process without making it unnecessarily bureaucratic. - Write clearly, communicate risks early, work independently through ambiguity and collaborate effectively across teams. - Have experience creating playbooks, support systems or automation that lets a high-touch program scale. Nice to Have - Operating a local-services, small-business, nonprofit, fellowship, ambassador or distributed partner program. - Coordinating vendor onboarding, invoices, budgets or grant-like payment workflows with Finance and Legal. - Running hands-on workshops or community events and translating successful local practices into reusable resources. - Working across marketing, product, analytics and public-policy or regional teams. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Sales Manager, Startups
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Startups are creating many of the most disruptive and category-defining AI applications. The Startup Go To Market team’s mission is to help startups harness the power of AI models to drive these advances. You will lead a team that supports startups building effectively with OpenAI’s APIs, providing access to OpenAI teams and expertise to support their growth. This role is a mixture of technical understanding, vision, partnership, and strategy. This leadership role will be responsible for driving and implementing the sales strategy within our startups segment, recruiting and leading a team of technical sales professionals, and achieving successful deployments with startup customers. The ideal candidate will possess significant sales leadership experience and a comprehensive understanding of AI technologies. This leader will have the capability to adapt to a complex and fast-changing technology environment. Responsibilities will include customer acquisition, account management, owning executive relationships, and more. This individual will need to be a proven leader who can effectively collaborate cross-functionally with product, marketing, developer relations, operations, and core GTM teams, while guiding and mentoring a sales team towards achieving business objectives. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you'll: - Lead a team of sellers - Partner with solutions to build and execute complex customer programs and projects - Manage consumption revenue forecasts - Contribute to the development of programs and strategic initiatives focused on startup customers - Serve as an advocate for improving the startup experience building with OpenAI, synthesizing product feedback from insights captured from our work with startups - Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies - Support the recruitment and onboarding of other teammates - Support the development of company culture We're seeking someone with experience including: - 8+ years leading Sales teams - Deep experience working in the startup ecosystem either as a founder, early startup employee, or by working with startup customers - Selling platform-as-a-service and/or software-as-a-service at a product-led growth company - Designing and executing complex deal strategies - Supporting the growth of fast-growing, high-performance startups - Leading high-visibility customer events (CAB, conferences, product launches, etc.) - Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence - Reporting on customer success activities You might thrive in this role if you: - Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their internal productivity and AI strategy. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. - Have a passion for or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. - Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. - Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. - Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Account Director, Federal Partnerships (Defense)
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their organization. The team comprises Sales, Solutions, Support, Marketing, and Partnership professionals who collaborate to create valuable solutions that will help bring AI to as many users as possible. About the role Our Federal Partnerships team brings advanced AI to the defense industrial base. You’ll own a portfolio of emerging defense technology accounts and lead their account and deal strategy. You’ll also work with the broader partnerships team to grow larger strategic relationships. You’ll independently lead customer meetings and manage your assigned emerging defense technology portfolio, working with technical teams to turn customer needs into deployed capabilities. This is a demanding, hands-on role that requires initiative, persistence, and a strong sense of responsibility for getting useful AI capabilities into customers’ hands. This role is based in Washington, DC, with up to 25% travel. 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'll: - Lead account strategy and commercial execution for your emerging defense technology portfolio, from discovery and negotiation through close and expansion. - Support the broader partnerships team on larger strategic relationships across the defense industrial base. - Work with solutions and engineering teams to move customers from AI evaluation to deployment and sustained adoption. - Maintain accurate pipeline, consumption forecasts, and clear next steps. - Build trusted executive and technical relationships, connecting AI capabilities to business and mission outcomes. - Anticipate customer needs and bring customer and market insights into product and partnership decisions. - Coordinate across OpenAI to advance deals, remove blockers, and deliver on customer commitments. We're seeking someone with: - 8+ years of combined relevant experience across government, military service, defense technology, or PaaS/SaaS businesses, including at least 2 years in private-sector, customer-facing roles. - Proven private-sector results, with clear examples of business or customer outcomes you personally drove. - Strong business acumen and strategic judgment, including the ability to assess opportunities, navigate stakeholders, and turn insight into action. - The ability to take initiative, set priorities, and deliver results amid the ambiguity and pace of defense technology. - Polished, clear communication and experience working directly with senior executives in government or the private sector. - Hands-on experience applying AI tools to practical problems, with the ability to explain the approach, results, and limitations. Strong understanding of APIs and workflow integration, with the ability to engage engineering teams credibly. - Military service and/or defense technology experience are valued. - Initiative, urgency, and coachability, with a record of acting on feedback and following through. You might thrive in this role if you: - Are customer-centric. You understand customers’ priorities and take ownership of helping them deploy useful capabilities quickly. - Are deeply curious about AI. You regularly test new capabilities, explore their limits, and identify practical uses for customers. - Bring a strong work ethic. You take initiative, prepare thoroughly, and follow through. You move quickly through ambiguity without sacrificing judgment or trust. - Look ahead. You anticipate what customers will need next and help them identify new opportunities. 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.
Talent Partner, Technical
About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people – and that’s where you come in. As the first dedicated technical recruiter on our Talent team, you’ll own engineering and AI/ML searches end-to-end. You’ll work closely with our Head of Talent, founders, and technical leads to shape how we hire and help bring in the people who will define what Modal becomes. What you’ll do: - Run full-cycle recruiting for engineering and AI/ML roles (sourcing, pitching, guiding interviews, and closing candidates) - Partner with technical leaders to understand the real work and calibrate on what great looks like - Help set our technical hiring bar and how we evaluate talent - Execute creative top-of-funnel strategies that resonate with a strong community of talented, experienced engineers - Deliver a fast, respectful, honest candidate experience - Bring an equity lens to every stage of the process - Use data and market context to keep searches on track and expectations aligned - Support candidates as a trusted guide through high-stakes decisions Requirements: - You know technical recruiting inside and out and enjoy the challenge of deeply technical roles - You’re curious – you ask the right questions and love understanding how things actually work - You influence with insight and honesty, not by simply having the loudest voice in the room - You move quickly and communicate clearly, even when things get messy - You’re a strong closer who builds trust early and stays ahead of concerns - You’re steady when priorities shift and can recalibrate without losing momentum - You care about people and want them to have a thoughtful, fair, and human experience throughout the process
EMEA Technical Support 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 help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization. Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more. About the role We’re hiring a Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms Key Responsibilities - Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues. - Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs. - Partner with Deployed Engineering to support critical enterprise customers. - Build and refine internal tooling, diagnostics, and runbooks for complex issue triage . - Lead post-mortems for critical incidents and feed learnings back into product and documentation. - Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement. - Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support. - Mentor and coach other support engineers. How to be successful in this role - 4+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms). - Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks . - Programming experience with Python. Bonus if you have TypeScript experience. - Hands-on knowledge of Kubernetes and Docker - Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers). - Experience supporting enterprise customers and collaborating with engineering on complex escalations. - A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection. - High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented Compensation & Benefits - Competitive salary and equity stake for role and stage of company. Commensurate with experience. - Annual salary range: £80,000 - £110,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Research Program Manager, Safety Measurement
About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role The Safety Measurement Research Program Manager drives OpenAI’s strategy for safety measurement and evaluations, partnering closely with safety research, data science, and engineering to advance how we measure harm and safeguard efficacy across research and production. You will work directly with researchers, data scientists, policy owners, and product teams who contribute to or use our measurement systems, identifying the most important problems to solve and shaping the data, dashboards, tools, and workflows we build for them. This role combines measurement expertise, product judgment, and cross-functional execution: you will engage with evaluation results and data workflows, make prioritization tradeoffs, and drive work from problem definition through rollout and iteration. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Define strategic priorities and product roadmaps to improve safety measurement and evaluation approaches and scale our measurement platform to new use cases, products, and the needs of cross-functional teams - Partner closely with research, data science, engineering, policy teams, and other stakeholders to craft a vision for understanding safety outcomes and prevalence across our products, and translate that vision into concrete programs of work. - Drive the integration of cutting-edge AI safety research into OpenAI’s safety measurement and evaluation platforms, working with researchers, data scientists, and engineers to navigate technical tradeoffs, coordinate dependencies, and resolve blockers. - Develop and continuously refine clear, actionable success criteria that effectively capture our ambitions with safety measurement and evals. - Represent quantitative progress on safety to senior leadership. You might thrive in this role if you: - Have 6+ years of experience in research program management, technical program management, product management, or related roles, with expertise in AI safety, trust & safety, integrity, or related domains. - Have a strong foundation in data science, statistics, economics, or a related field, and hands-on experience with measurement or evaluations. - Enjoy working at the intersection of data science and AI safety research, translating evolving measurement needs into clear requirements, priorities, and roadmaps. - Can independently drive complex, cross-functional programs from problem definition through rollout, building alignment and unblocking decisions in ambiguous spaces. - Ask incisive questions, challenge assumptions, and exercise sound judgment about technical tradeoffs and the strengths and limitations of metrics and evaluations. - Build strong partnerships across research, data science, engineering, policy, and product, and communicate complex findings clearly to technical teams and leadership. - Are curious about AI safety and its societal impacts, learn new domains quickly, and adapt as research and priorities evolve. 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.
Social Media Lead
We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. About the role * Open to hiring remote across the US — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. We're looking for a Social Media Lead to build the strategy and operating model behind how Runway shows up on social. Our audience spans filmmakers, artists, developers, researchers and enterprise teams, and each of them comes to our channels for something different. Your job is to give every channel a clear role and make sure our biggest moments, from model launches and research releases to film festivals and conferences, land with real distribution behind them. You'll bring a strong point of view on where Runway should show up and how. You'll help our researchers, engineers, creatives and executives share the work closest to them with credibility and authenticity, and you'll treat our community of creators as collaborators in telling the story. You'll be hands-on where it matters, but this role is defined by strategic leadership and operational ownership. What you’ll do - Set Runway's social strategy, raise the creative bar and build the calendar around a steady, always-on presence that leads into our biggest launches - Define a distinct role for each channel across X, Instagram, TikTok, YouTube, LinkedIn and emerging community platforms - Decide when Runway, a researcher, an executive, a creator, a customer or a partner should lead the story, then build the distribution plan around it - Partner with Research, Product, Comms and Brand to turn model launches, research papers and product updates into native, credible social moments - Help Runway researchers, engineers and executives post about their work, with clear guidance, coaching and coordinated amplification - Work with our Community team, partners and our broader creator community to put the work made with Runway at the center of our channels - Establish a clear scorecard and use social insights to sharpen the work over time What success looks like - Social runs on data-driven goals across reach, awareness, demand, campaign lift and audience insight - Runway has a clear social point of view and a defined role for each channel - Social is a strategic driver of visibility, creative adoption and demand, not an internal posting service - Runway's researchers, engineers and executives have an easy, trusted way to share their work, and the strongest posts get coordinated amplification - Creators see Runway's channels as the best place for their work to be seen What you’ll need - 5+ years of experience in strategic social or related marketing programs; 2+ years at a top-tier technology, consumer, media or entertainment company is a plus - A track record of building social strategy and the operating model behind it: prioritization, agency and contractor management, workflows, measurement and executive alignment - Excellent editorial judgment and an instinct for what feels credible and native on each platform, especially X, Instagram, TikTok, YouTube and LinkedIn - Fluency across disparate cultures: film, art and creators, AI and startups, venture capital and Silicon Valley; comfort translating technical research for a broad audience - Comfort with performance and brand measurement, including how to separate correlation from impact and how to run disciplined tests - Hands-on familiarity with generative AI tools, including Runway, and curiosity about where they're headed - Ability to thrive in a fast-moving environment where priorities shift with each launch Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC
Account Executive - Italy - SMB
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for an experienced, motivated SMB Account Executive to drive ElevenLabs’ growth in small to medium sized businesses across Italy. Our ideal candidate is passionate about the transformative possibilities of AI voice technology, and eager to act as a strategic partner - enabling organizations to leverage our industry-leading models and product to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: - Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals. - Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends. - Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more. - Develop and execute account strategies to expand ElevenLabs’ presence within key verticals. - Partner closely with customer success and solutions engineering to ensure smooth onboarding and expansion of accounts. - Serve as a trusted advisor to clients, educating them on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - Fluency in Italian and English, with the ability to sell and negotiate in both. - 3+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms. - Proven success closing deals and managing complex sales cycles with multiple stakeholders. - Deep understanding of enterprise procurement and legal processes, with ability to accelerate deal velocity. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Strong executive presence and ability to build relationships at the exec level. - Comfort operating in an early-stage, high-growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer and product-driven mentality that prioritizes client satisfaction and scale. Location This role is remote-first, so it can be executed from anywhere in Italy, however the ability to operate in CET is required. 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.
Staff / Senior Data Center Security Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. You'll be the engineer for one or more security domains end to end: design the controls, build the systems that enforce and verify them, and set the technical standard the rest of the team and our partners build to. The engineering is in the controls and the tooling that proves them. The goal is security that runs itself: requirements kept as code and checked automatically, evidence, chain of custody and access continuously verified, and tools and agents in place of manual reviews. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. This is a foundational role: you'll shape how our security engineering is built and scaled. The team's physical security systems engineers design and test the site security systems themselves; this role engineers the controls around them and across the domains beyond the facility itself: hardware custody, media, personnel and vendors. You'll work with the rest of DCSE, Anthropic's compute, data center operations, legal, compliance and procurement teams, and directly with data center operators, hardware vendors and logistics providers. The role involves regular travel to data center sites, which are critical infrastructure, and may include on-call for security events at them. Key responsibilities - Security domains, end to end: own one or more of physical security at partner-operated and Anthropic-operated sites, hardware supply chain and chain of custody, media protection and sanitization, personnel security and site access, third-party and vendor security assessment, and maintenance and contingency controls - Tools, automation and AI agents: build the internal tools, automation and agents the team runs on: evidence collection, access reviews, asset and custody tracking, partner intake. When a process keeps costing people time, you build the tool that retires it - Security review for new sites, leases and vendors: find the gaps in the design, the contract and the operator's procedures, write the security terms and exhibits, and verify the fixes after signing - Requirements and procedures as code: write requirements and procedures that a partner can build to and an assessor can test, kept as code in a version-controlled repository - Site and supplier assessment: assess sites and suppliers against those requirements, on site and from evidence; document deviations and engineer the compensating control where a requirement can't be met as written - Continuous compliance evidence: tie controls to the compliance frameworks we and our partners are assessed against, with evidence always current so an assessment pulls from it directly - Security event response: respond to security events at sites (intrusion alarms, custody breaks, access violations) with operations teams and site operators; write up what happened and fix the control that allowed it Minimum qualifications - Have engineered a security control domain end to end: designed the controls, built or integrated the systems that enforce them, and verified they work - Read and review code, design the data systems behind security tooling, and build automation (often with AI coding agents) using Git and code review - Have done security work hands-on for data centers, critical infrastructure or a large hardware fleet, in at least one of the domains under Key responsibilities - Have applied a control framework such as NIST SP 800-53, ISO 27001 or SOC 2 to real systems and produced the evidence for it - Write requirements a third party can build to and an assessor can test: each states what must be true, how it is verified and what evidence shows it Preferred qualifications - Experience across several of the domains above rather than one - Experience at sites you did not fully control: cloud, colocation or GPU cloud operators - Experience with federal assessment regimes based on NIST SP 800-53, including supply chain (NIST SP 800-161) and media sanitization (NIST SP 800-88) guidance; have produced evidence an assessor accepted - Have built governance, risk and compliance (GRC) or evidence automation: automated control checks, asset or custody tracking, questionnaire and assessment pipelines, docs-as-code workflows - Have run incident response at physical sites: alarms, investigations, after-action fixes - Have worked in live data halls and on active construction sites, and can follow a method of procedure - Experience redlining contract security language with legal and procurement counterparts - Experience with international sites: per-country personnel screening and staffing restrictions, data residency, and export controls on hardware - Have built AI agents or automation that replaced recurring manual security work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Performance & Talent Programs Manager
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced People Programs Manager to join our Performance & Talent Programs team. This role will own the design and end-to-end execution of some of Anthropic's performance and talent programs producing the year-round performance signal that feeds our talent intelligence layer and upholds our performance bar as we scale. This is a senior individual contributor role reporting to the Head of Performance & Talent Programs, and a great fit for a true builder who has both seen performance management excellence at scale and is excited to roll up their sleeves in a rapidly scaling, high-ambiguity environment. You will also work closely with our internal products team, helping guide product decisions as we build and design the architecture that supports performance. Key responsibilities - Own end-to-end execution of some of Anthropic's cyclical performance and talent programs (performance pulses, promotions, review cycles, talent reviews, succession planning, etc) and the continuous feedback practices between them - Ensure these programs scale durably and uphold Anthropic's performance bar and talent density as the company grows - Design programs to produce useful performance signal year-round and feed it into the talent intelligence layer to inform talent planning decisions - Partner cross-functionally with People Services on cycle execution, People Analytics on connecting performance data to broader people data and insights, and People Products and engineering on program tooling - Act as the product partner for our internal tools team: bring the needs of managers, employees, and People Partners to the table, help decide what to build and in what order, and shape the architecture so our performance systems connect cleanly and scale - Iterate on program frameworks (calibration, rating constructs, feedback formats, promotion criteria) based on data, manager feedback, and Anthropic's evolving needs - Lead program redesigns and change management, including stakeholder alignment, rollout planning, and communications - Develop and deliver enablement that helps managers and People Partners run each cycle confidently and consistently Minimum qualifications - Systems thinker who treats programs as performance drivers, caring as much about data quality and downstream usefulness as about cycles landing on time - Demonstrated experience shaping performance tooling (Workday, Lattice, CultureAmp, or homegrown), including time working with an internal tools or engineering team to guide product decisions, and partnering with People Analytics, with comfort getting into the data yourself - Experience building manager enablement that changes behavior, and supporting leaders through performance, promotion, and talent conversations - Strong program management skills and operational rigor, with a track record of running complex multi-month cycles and keeping dozens of stakeholders in sync - Exceptional communicator, particularly in writing, who thrives in ambiguity and evolving scope Preferred qualifications - 7+ years of experience designing, running, and owning performance management, talent review, or promotion programs, preferably through periods of rapid headcount growth - Experience helping define requirements, priorities, and system design for internal people tools, from early idea through adoption The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Enterprise Account Executive, Public Sector
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to public sector organisations across Spain. You'll drive the adoption of safe, frontier AI by securing strategic agreements with central government ministries, regional and local administrations, and public agencies. You'll leverage your consultative sales expertise in the public sector to propel revenue growth while becoming a trusted partner to public sector stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in citizen services, administration, and research. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with public sector decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help public institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic within the public sector in Spain. Navigate complex public institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to public procurement cycles and budgeting processes, including tenders, framework agreements, and partner or resale routes, to meet and exceed revenue quotas. Analyse public sector landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within ministries, agencies, and administrative departments. Collaborate cross-functionally to differentiate our offerings for public sector applications - Navigate complex public sector stakeholder ecosystems including senior officials, digital and technology leaders, IT departments, and procurement offices to build consensus - Lead conversations with customers on data sovereignty, security, and compliance, working with Security, Legal, and Product colleagues on how we meet those requirements - Inform product roadmaps and features by gathering feedback from public sector users and conveying public sector needs. Provide insights that strengthen our value proposition for public institutions - Continuously refine the public sector sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: - 7+ years of B2B sales experience in SaaS, API solutions, or emerging technologies, including selling to public sector organisations in Spain - A track record of managing complex sales cycles within public institutions and securing strategic agreements by understanding both technical requirements and public sector use cases - Practical command of Spanish public procurement, including tenders, framework agreements, central purchasing bodies, and partner or resale routes - Demonstrated ability to navigate public sector organisational structures, building consensus among diverse stakeholders including senior officials, digital and technology leaders, and IT departments - Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various public sector audiences, from technical teams to senior officials - Deep understanding of public sector buying cycles, decision-making processes, and key pain points, including data sovereignty, security, and compliance requirements - A strategic, analytical approach to assessing the public sector market combined with creative, tactical execution to capture opportunities - Bilingual proficiency in Spanish and English, with excellent written and spoken communication in both - A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for use by public institutions Nice to have: familiarity with the security and compliance frameworks that apply to technology purchasing in the Spanish public sector. Acerca del puesto Como Enterprise Account Executive en Anthropic, te incorporarás al equipo fundacional que está a la vanguardia de la introducción de nuestra API de productividad con IA de última generación y de nuestras soluciones SaaS en las organizaciones del sector público en España. Impulsarás la adopción de una IA de vanguardia y segura mediante acuerdos estratégicos con ministerios de la Administración General del Estado, administraciones autonómicas y locales y organismos públicos. Pondrás tu experiencia en venta consultiva en el sector público al servicio del crecimiento de los ingresos y te convertirás en un socio de confianza para los interlocutores del sector, ayudándoles a integrar y desplegar la IA y a descubrir todo su potencial en los servicios a la ciudadanía, la administración y la investigación. En colaboración con los equipos de GTM, Producto y Marketing, perfeccionarás de forma continua nuestra propuesta de valor, nuestra metodología de ventas y nuestro posicionamiento para que conecten con quienes toman las decisiones en el sector público. El perfil ideal siente pasión por desarrollar nuevos segmentos de mercado, identificar oportunidades de alto potencial y ejecutar las estrategias que permiten aprovecharlas. Al impulsar el despliegue de los productos emergentes de Anthropic, ayudarás a las instituciones públicas a adquirir nuevas capacidades y contribuirás al desarrollo ético de la IA. Responsabilidades: - Conseguir nuevos clientes y generar ingresos para Anthropic en el sector público en España. Orientarte en instituciones públicas complejas para llegar a las personas clave en la toma de decisiones, darles a conocer nuestros servicios y ayudarles a tener éxito con Anthropic. Serás responsable de todo el ciclo de venta, desde el primer contacto hasta el cierre. - Diseñar y ejecutar estrategias comerciales innovadoras adaptadas a los ciclos de contratación pública y a los procesos presupuestarios, incluidas las licitaciones, los acuerdos marco y las vías de venta a través de partners o revendedores, para alcanzar y superar los objetivos de ingresos. Analizar el panorama, las tendencias y la dinámica del sector público para convertir los planes estratégicos en acciones y campañas comerciales específicas. - Liderar la expansión en el mercado identificando nuevos casos de uso en ministerios, organismos y departamentos administrativos. Colaborar de forma transversal para diferenciar nuestra oferta en las aplicaciones del sector público. - Desenvolverte en ecosistemas complejos de interlocutores del sector público (altos cargos, responsables de transformación digital y tecnología, departamentos de TI y órganos de contratación) para generar consenso. - Liderar las conversaciones con los clientes sobre soberanía del dato, seguridad y cumplimiento normativo, trabajando con los equipos de Seguridad, Legal y Producto en la forma en que respondemos a esos requisitos. - Contribuir a la hoja de ruta y a las funcionalidades del producto recogiendo las opiniones de las personas usuarias del sector público y trasladando sus necesidades. Aportar ideas que refuercen nuestra propuesta de valor para las instituciones públicas. - Perfeccionar de forma continua la metodología de ventas para el sector público incorporando lo aprendido a playbooks, plantillas y buenas prácticas. Identificar mejoras de proceso que optimicen la productividad y la coherencia comerciales. Este puesto puede encajar contigo si tienes: - Al menos 7 años de experiencia en ventas B2B (SaaS, soluciones API o tecnologías emergentes), incluida la venta a organizaciones del sector público en España - Una trayectoria demostrada en la gestión de ciclos de venta complejos en instituciones públicas y en el cierre de acuerdos estratégicos, basada en la comprensión tanto de los requisitos técnicos como de los casos de uso del sector público - Un dominio práctico de la contratación pública española: licitaciones, acuerdos marco, centrales de compras y vías de venta a través de partners o revendedores - Capacidad demostrada para desenvolverte en las estructuras organizativas del sector público y generar consenso entre interlocutores diversos, entre ellos altos cargos, responsables de transformación digital y tecnología y departamentos de TI - Experiencia contrastada superando objetivos de ingresos gracias a una gestión eficaz de un pipeline y un proceso de venta en constante evolución - Excelentes habilidades de comunicación y soltura para presentar ante públicos diversos del sector público, desde equipos técnicos hasta altos cargos - Un conocimiento profundo de los ciclos de compra, los procesos de decisión y los principales retos del sector público, incluidos los requisitos de soberanía del dato, seguridad y cumplimiento normativo - Un enfoque estratégico y analítico del mercado del sector público, combinado con una ejecución táctica y creativa para aprovechar las oportunidades - Nivel bilingüe de español e inglés, con una excelente comunicación oral y escrita en ambos idiomas - Pasión por los sistemas avanzados de IA y sus aplicaciones, o experiencia con ellos. Te importa de verdad que los sistemas de IA de vanguardia se desarrollen de forma segura y ética para su uso por parte de las instituciones públicas. Se valorará: familiaridad con los marcos de seguridad y cumplimiento normativo aplicables a la contratación de tecnología en el sector público español. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Enterprise Account Executive - Semiconductors
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to semiconductor organisations across the Netherlands. You'll drive the adoption of safe, frontier AI by securing strategic deals with semiconductor equipment makers, chip designers and manufacturers, and the specialist suppliers around them. You'll leverage your consultative sales expertise in the semiconductor and high-tech sector to propel revenue growth while becoming a trusted partner to semiconductor stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across hardware and software engineering, R&D, manufacturing, supply chain and field service. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with semiconductor decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic within the semiconductor sector. Navigate complex, global, engineering-led organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to semiconductor procurement cycles, R&D and capex budgeting, and supplier qualification processes to meet and exceed revenue quotas. Analyse semiconductor market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within hardware and software engineering, design and verification, R&D, manufacturing and quality, supply chain and procurement, and customer support and field service. Collaborate cross-functionally to differentiate our offerings for semiconductor applications - Navigate complex semiconductor stakeholder ecosystems including executives, engineering and R&D leadership, IT and security teams, digital transformation functions, legal and compliance, and procurement offices to build consensus - Inform product roadmaps and features by gathering feedback from users and conveying semiconductor market needs. Provide insights that strengthen our value proposition for semiconductor clients - Continuously refine the semiconductor sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: - 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies - A track record of managing complex sales cycles within semiconductor, high-tech or advanced manufacturing organisations, ideally in the Netherlands or wider Benelux, and securing strategic deals by understanding both technical requirements and engineering use cases - Demonstrated ability to navigate large, global, engineering-led organisations and procurement processes, building consensus among diverse stakeholders including executives, engineering and R&D leadership, and IT departments - Extensive experience negotiating complex agreements within high-tech procurement frameworks, including supplier onboarding, IP protection, security and data governance reviews - Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various technical and business audiences, from engineering and R&D leads to senior executives - Deep understanding of semiconductor buying cycles, decision-making processes, and key pain points, including the IP sensitivity, export control and supply chain pressures the industry operates within - A strategic, analytical approach to assessing the semiconductor market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for semiconductor and high-tech use 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: £330,000 - £380,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Marketing Operations
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! The role You'll lead marketing operations and analytics at Cohere. That covers the team, the martech stack, how we measure marketing's contribution to pipeline, and the budget and pipeline numbers marketing plans against. When leadership asks what marketing produced last quarter and what to fund next, the answer starts with your numbers. The role reports to the VP of Brand. You'll work most closely with the Marketing Chief of Staff and the heads of Growth and Demand and Product Marketing, and every week with Revenue Operations, Sales Operations & Finance. Web operations is part of marketing but doesn't report to this role. What you'll own The team You'll manage the marketing operations, automation, and analytics and data operations staff, and hire where you find gaps. Marketing is growing rapidly, so you'll also bring acquired companies' systems and data into our stack. Measurement The attribution methodology is yours, documented and signed off by Marketing, Revenue Operations and Finance. Each quarter you'll present marketing's pipeline contribution to the executive team and say what you'd change. Your analysts do the same for the program teams in Growth and Demand, Events and Product Marketing, showing which campaigns and channels are paying back their spend. Systems and data Marketo, Looker, GA4 and 6sense are yours end to end, along with the campaign and lead side of Salesforce. That includes forms, nurture, lead lifecycle, scoring and routing. Campaign data needs to be structured well enough that analysts don't need workarounds, and target-account data has to reconcile to the governed account list. With Revenue Operations, you'll make sure the data behind marketing's pipeline numbers can't change without a record, so a bulk edit can't quietly rewrite marketing's results. A/B testing on nurture and forms sits with you too, sized so the results can be read. Over time we want fewer tools and fewer dashboards, with one governed source for each metric. Budget and planning numbers You'll own the martech and operations budget and track budget and headcount across marketing. You'll also build the pipeline and capacity models marketing plans against. The Marketing Chief of Staff runs planning and the business reviews and leads the trade-off conversations with your numbers in hand. Marketing and Sales need to count pipeline the same way, every time. Your first year In the first 90 days, you'll document the attribution methodology and get it signed off by Marketing, Revenue Operations and Finance. By then we should also have an inventory of every reporting surface, each with a named owner, and your order for fixing the data problems you inherit. By three months, one governed executive dashboard has replaced the competing decks in business reviews, and rebuilt lead routing is in production. By six months, target-account reporting reconciles to the governed list, and anyone on the team can reproduce quarterly attribution from the documented method, with change control on the data underneath it. The stack is smaller than when you arrived, and some marketing workflows run on agents in production. Annual planning runs on your budget, headcount and pipeline models. What we're looking for Must have - 10+ years in marketing operations or marketing analytics in B2B or enterprise software, including at least one high-growth company. - You've managed a marketing operations and analytics team and its martech budget, setting priorities across ops, automation and analytics specialists and hiring to fill gaps. - Hands-on Marketo and Salesforce experience with lead lifecycle, campaign structure, routing and the sync between the two. You've configured these systems yourself. - You've owned a multi-touch attribution model end to end and defended its definitions to a CFO or executive team. - SQL, and enough comfort in a governed BI layer like Looker to check a number yourself before you present it. - You've run the data side of an account-based motion, including the hygiene that makes a target account list reportable. - You've worked closely with Revenue Operations and Sales Operations without duplicating their work. - Experience in enterprise, regulated or public-sector buying environments, including GDPR and CASL as they apply to lead handling. - You already use AI and automation in your own team's work. Nice to have - Enterprise AI, infrastructure or developer-platform marketing. - You've built agentic or LLM-based workflows in GTM operations and measured what they saved. - Product-led funnel instrumentation running alongside a sales-led pipeline. - You've consolidated an inherited martech stack, or merged systems after an acquisition. 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.
AI Deployment Manager - Australia
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. About the role We’re hiring the first AI Deployment Manager to partner with some of our most strategic enterprise customers. This role will be based in Sydney. As an AI Deployment Manager, you’ll drive adoption, deliver measurable business value, and help shape how AI transforms engineering teams. You’ll act as the connective tissue between customer stakeholders and our internal teams, influencing both the Grok roadmap and each customer’s implementation strategy. This role is highly cross‑functional and customer‑facing. You understand software development workflows, care deeply about developer tools, and love helping engineering organizations succeed at scale. What you'll do - Build and grow deep relationships with engineering leaders and power users at key accounts - Partner with Field Engineering and Sales to deliver a seamless post‑sale experience - Drive adoption of Grok by aligning usage with business objectives and engineering goals - Guide customers on best practices for rollout, prompt strategy, context configuration, and internal enablement - Serve as the customer’s voice internally and influence roadmap priorities - Provide strategic account planning and regular business reviews with VP‑ and CTO‑level stakeholders - Monitor account health, usage patterns, and product engagement to drive renewals and expansion You may be a fit if - You have strong communication skills and executive presence, and are comfortable whiteboarding with developers and pivoting to value with a CTO - You have a deep understanding of the software development lifecycle and engineering org structures - You are fluent in technical workflows, AI tooling, and developer productivity (even if you haven’t been a full‑time engineer) - You are customer‑obsessed with a knack for strategic thinking and problem‑solving - You thrive in a startup environment: scrappy, proactive, and adaptable - You have experience in TAM, Solutions Architecture, Customer Success, or Consulting for enterprise software About Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truthseeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. Applying If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.
Customer Success Manager, Public Sector & Defence
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an exceptional Customer Success Manager with deep expertise in the Canadian public sector and defence landscape to lead our most strategic government accounts. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of government and defence organizations. You will be the trusted advisor and strategic partner for Canadian federal departments, provincial agencies, Crown corporations, defence organizations, and healthcare systems as they navigate the complex journey of AI adoption. You'll guide organizations through the implementation of frontier AI in secure, highly regulated environments—ensuring solutions deliver a measurable impact while meeting stringent security, privacy, compliance, and ethical requirements. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the voice of the customer internally and the face of Cohere externally for our most sensitive and high-impact government engagements. You'll have the unique opportunity to shape how Canada's most important institutions leverage AI to serve the public good. Location: Ottawa (proximity to government customers) Security Clearance: Active Top Secret clearance is mandatory for this role What You'll Do Strategic Customer Partnership: - Own the success, adoption, and growth of Cohere's Canadian public sector and defence customers, ensuring they realize maximum value from our AI solutions - Build deep, trusted relationships with senior government stakeholders, including Deputy Ministers, CIOs, ADMs, digital transformation leads, and departmental executives - Develop comprehensive success plans tailored to each organization's mission, digital strategy, budget cycles, and unique constraints - Serve as the primary point of contact and executive sponsor for your accounts, managing escalations and ensuring customer satisfaction - Define and track success metrics aligned with public sector priorities: citizen satisfaction, service delivery improvements, cost savings, operational efficiency, accessibility outcomes AI Adoption & Implementation Leadership: - Guide customers through the full lifecycle of AI adoption—from use case identification and pilot design through production deployment and scaling - Lead secure AI implementation projects in complex government environments, including air-gapped systems, Protected B/C environments, and on-premises deployments - Navigate the unique challenges of public sector AI adoption: legacy system integration, data sensitivity, lengthy approval processes, and risk-averse organizational cultures - Create and execute change management strategies to drive user adoption and value realization across diverse government workforces - Conduct regular executive business reviews with senior stakeholders, demonstrating ROI, impact, and strategic value - Drive contract renewals and account growth by consistently delivering value and building trusted relationships Compliance & Risk Management: - Ensure all implementations meet Canadian government security protocols, including PBMM standards, security assessments, and authority-to-operate requirements - Navigate privacy and compliance requirements: Privacy Act, PIPEDA, PHIPA, Access to Information Act, Official Languages Act, accessibility standards - Lead or support Algorithmic Impact Assessments and responsible AI governance processes as required by Treasury Board directives - Develop risk mitigation strategies for AI deployments in high-security, mission-critical, and citizen-facing contexts - Coordinate with customer security teams, privacy officers, legal counsel, and compliance functions Customer Advocacy & Product Influence: - Serve as the voice of public sector and defence customers within Cohere, advocating for features and capabilities that address government-specific needs - Provide strategic feedback to Product and Engineering teams on requirements related to security, explainability, accessibility, bilingualism, and ethical AI - Contribute to the development of public sector-specific offerings, implementation playbooks, documentation, and best practices - Share customer insights to inform Cohere's public sector go-to-market strategy and positioning - Represent Cohere at government forums, working groups, roundtables, and industry events Cross-Functional Collaboration: - Partner with Sales to support expansion opportunities, renewals, and new customer acquisition - Coordinate with Solutions Architects and Forward Deployed Engineers on technical implementation and optimization - Work with Legal, Security, and Compliance teams to navigate complex procurement, contracting, and regulatory requirements - Collaborate with Marketing on thought leadership content, case studies, and public sector community building You May Be a Good Fit If: Required Experience: - 8+ years of experience in customer success, account management, strategic consulting, or technology delivery roles within enterprise or government contexts - At least 3-5 years working directly with the Canadian government, defence, or healthcare organizations in a technology, digital transformation, or consulting capacity - Proven track record of managing complex, strategic accounts with multiple stakeholders, long sales cycles, and multi-year implementation timelines - Experience leading AI/ML, cloud, or enterprise software implementations in secure or highly regulated environments - Deep understanding of how government organizations evaluate, procure, implement, and govern technology solutions - Active Top Secret security clearance (mandatory) Customer Success & Account Management Excellence: - Demonstrated success driving customer adoption, expansion, and retention in complex enterprise or government accounts - Experience developing and executing customer success strategies, QBRs, and executive engagement programs - Track record of identifying and closing expansion opportunities within existing accounts - Ability to manage multiple strategic accounts simultaneously while maintaining high-touch, personalized engagement - Experience navigating organizational politics and building coalitions across siloed government departments Public Sector & Defence Acumen: - Comprehensive knowledge of the Canadian public sector ecosystem: federal departments, provincial ministries, Crown corporations, defence, intelligence, critical infrastructure, and healthcare - Deep familiarity with government digital strategies, service delivery transformation, and citizen-centric design principles - Understanding of public sector budget cycles, Treasury Board processes, government procurement frameworks, and contract vehicles - Knowledge of relevant legislation and frameworks: Privacy Act, PIPEDA, PHIPA, Directive on Automated Decision-Making, Algorithmic Impact Assessments, accessibility requirements - Experience with government cloud strategies and security frameworks: GC Cloud, PBMM, Protected environments, CCCS guidelines - Proven ability to work with classified information and operate effectively in secure, compartmented environments Nice to Have: - Bilingual (English/French) proficiency—a strong asset for working across the federal government - 3+ years specifically managing GenAI, LLM, or conversational AI implementations - Experience with specific Canadian public sector digital transformation initiatives: Canada.ca modernization, healthcare AI projects, Canadian Digital Service programs, or provincial digital government initiatives - Direct experience working with Canadian defence, intelligence, public safety, or national security organizations - Professional certifications: CSM, PMP, ITIL, or Canadian government-specific security training - Experience with government collaboration platforms: GCdocs, GCworkspace, Protected collaboration tools - Background in management consulting, systems integration, or digital transformation consulting for public sector clients - Experience with any modern programming language (C++, C#, JavaScript, Python, etc.) What Makes This Role Unique This is a rare opportunity to shape how Canada's most important institutions leverage AI to serve the public good. You'll work with organizations responsible for national security, healthcare delivery, social services, and democratic institutions—helping them navigate the profound opportunities and responsibilities that come with deploying frontier AI technology. You'll need to balance competing demands: innovation velocity with government due diligence, technical possibilities with policy constraints, commercial success with public sector values, and breakthrough capabilities with ethical considerations. It requires patience, strategic thinking, in-depth sector knowledge, security awareness, and a genuine passion for achieving public service outcomes. If you're energized by complex challenges, have deep public sector expertise, understand the gravity of working with classified systems, and want to have an outsized impact on Canada's digital future while working with cutting-edge AI technology, this role is for you. 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.
Senior Manager, Order-to-Cash Assurance
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 global order-to-cash (O2C) function is scaling faster than the processes and systems behind it, across direct enterprise contracts, consumption-based commercial models, and third-party cloud marketplaces. We're looking for a Senior Manager, Order-to-Cash Assurance to make sure every order is priced, billed, collected, and recorded correctly, and that we can prove it. You'll be embedded in the O2C Transformation team, working closely with Order Management, AR & Collections, Revenue Accounting, Billing Engineering, and Go-to-Market. You'll design and run the pricing audits and accuracy measures that show us where we leak revenue or create rework, then fix the root cause at the source. You'll be the compliance advocate for global O2C, helping the business find the compliant way to yes, and often improving a process by removing steps rather than adding them. You'll thrive here if you treat accuracy and compliance as design problems and as a service to the business. You are firm when the risk is real, flexible when it isn't, and able to explain the difference. If you're energized by ambiguous, high-consequence operational problems at a company at the forefront of AI development, we'd like to hear from you. Key responsibilities - Design and run recurring audit programs across the O2C lifecycle, including pricing audits, contract-to-invoice accuracy, credits, refunds and concessions, and cash application - Define accuracy metrics with baselines and targets, such as pricing and invoice error rates, first-pass yield, rework volume, and revenue leakage, and report them in a way teams can act on - Trace findings to root cause and work with the owning team on the fix, whether in process, system configuration, or contract and pricing standards - Move measurement from periodic sampling to continuous, system-driven monitoring as volume grows - Partner with Order Management and AR operations as their quality partner, and help GTM, Deal Desk, Sales Operations, and Product understand what accurate and compliant looks like through clear published guidance that shortens the path to yes - Review new processes, process changes, commercial models, and exceptions against policy and control requirements, with clear decision rights, service levels, and rationale that stay consistent across regions, entities, and channels - Build compliance into new products, channels, commercial models, and regions by joining at intake rather than at the end - Own O2C policies, control ownership, and segregation of duties - Partner with Internal Audit, external auditors, Revenue Accounting, Tax, and Legal so audit cycles run smoothly, and resolve findings at the root cause - Perform independent review activities, including month-end close reviews, so operations teams can focus on execution while independence is preserved - Create reusable, pre-approved process patterns and guardrails so teams can move quickly without a bespoke review every time, harmonizing globally and localizing only where statute requires - Work with Billing Engineering, GTM Systems, and Business Technology to build controls and accuracy checks into the systems themselves, so quality scales with volume - Deploy AI and automation for exception detection, reconciliation, anomaly detection, and evidence collection Minimum qualifications - Hands-on experience designing and running audit, quality, or revenue assurance programs within order-to-cash, billing operations, or quote-to-cash - Working knowledge of revenue recognition (ASC 606) and experience partnering with internal and external auditors - Experience with contracting systems, billing platforms, or ERP systems (for example Salesforce, Stripe, or Workday Financials) - Proficiency with SQL or similar tools for analyzing and testing transactional data - Experience using automation or AI for monitoring, testing, or reporting Preferred qualifications - 10+ years of progressive experience in revenue operations, billing operations, revenue assurance, finance operations, or internal controls within order-to-cash at a public company - A track record of simplifying processes, with concrete examples of steps or controls you removed while improving accuracy or strengthening the control environment - A degree in Accounting, Finance, Business, Engineering, or a related field - CPA, CIA, CISA, or CRISC certification, or Lean Six Sigma or PMP certification - Experience building or scaling a SOX program, including readiness for public-company reporting requirements - Experience with global, multi-entity operations, including statutory invoicing and tax considerations - Experience serving both B2C and B2B customers, especially with consumption-based and subscription billing models through to collections - Experience working with go-to-market, deal desk, and revenue operations organizations - Strong cross-functional influence and clear communication about issues and decisions - Understanding of AI industry business models and enterprise customer needs The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied Science - Cybersecurity
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job Mistral AI is seeking Applied Scientists to build frontier cybersecurity models. You will develop SOTA models across different domains of cybersecurity, from vulnerability analysis to incident response and remediation. You’ll build the environments, training-data pipelines, and evaluations that make these capabilities real and measurable. You'll work closely with cybersecurity actors and real production data, as well as cross-functionally with science, engineering, and product teams teams to deliver high-impact, trustworthy AI for security. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry. You might come from security with a genuine interest in AI science, or from AI science with a genuine interest in security, both paths fit. What matters is curiosity for the side you know less well, and the drive to go deep on it. What you will do - Develop, pre-train and post-train domain-specialized foundation models for agentic defensive security. - Work across a diverse set of complex real world problems to build the future of AI for cybersecurity. - Design evaluations and benchmarks that measure realistic security capability on customer-representative tasks. - Build sandboxed execution environments, RL tasks, and verifiers grounded in real customer workflows, and generate and curate the training data for training frontier models. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Own technical delivery across project sprints and manage research communications with customer teams. About you - Fluent in English with excellent communication skills: at ease explaining complex technical to both technical and non-technical audiences. - Experience building harnesses, benchmarks or RL environments for code, agentic or security tasks. - Hands-on security background in one or more of: vulnerability research, exploit development, red teaming, or detection and incident response. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. Nice to have - PhD / Master in a relevant field (Mathematics, Security, Machine Learning). Exceptional candidates from other backgrounds welcome - Contributions to a large open-source or industry codebase. - Publications in top ML/security venues and/or contributions to open-source security or observability tools. - Experience working on large code bases or large machine learning models at scale. - Enjoys improving existing code: typing, tests, CI pipelines. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Research Scientist, Life Sciences (Large Molecules...
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 Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist with deep expertise in therapeutic antibodies to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in antibody design and engineering who has taken antibodies through the whole process, from target selection and lead optimization to candidate selection and IND-enabling studies. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive antibody programs end to end and pressure-test AI-designed antibodies against the bar a real drug candidate has to clear. This role is fully on-site in the San Francisco Bay Area. Key responsibilities - Design and engineer therapeutic antibodies and oversee programs end to end, including target and epitope selection, choice of format (IgG, Fab, scFv, VHH, bispecific), humanization, affinity maturation, Fc engineering, and candidate selection - Define the screening cascade for each program, from binding kinetics (SPR, BLI), epitope binning, and species cross-reactivity to cell-based functional assays and developability (expression, aggregation, polyreactivity, stability, viscosity, immunogenicity risk) - Plan the path from lead to IND-enabling studies, including in vivo pharmacology, pharmacokinetics, toxicology, and the handoff to process development and manufacturing - Coordinate antibody production, characterization, and in vitro and in vivo studies with external contract research organizations and academic partners - Evaluate AI-designed antibodies, drive them to experimental readout, and feed results back to research teams - Ensure experimental data across programs is high quality and well documented, including sequences, protocols, raw data, and failure modes - Communicate findings clearly to biology, AI research, and life sciences audiences Minimum qualifications - PhD in biochemistry, protein engineering, immunology, molecular biology, or a related field - Demonstrated experience in therapeutic antibody discovery and engineering, including at least one antibody you helped take from discovery through candidate selection and IND-enabling studies - Working knowledge of what an antibody IND requires across pharmacology, pharmacokinetics, toxicology, and chemistry, manufacturing, and controls (CMC) - Comfort navigating ambiguity and defining problems in a rapidly evolving research environment - Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications - 5+ years of therapeutic antibody experience beyond the PhD - Track record of advancing more than one antibody program into IND-enabling studies or the clinic, with contributions to pre-IND or IND documents - Hands-on experience with antibody expression, purification, and biophysical characterization - Experience directing antibody production, assays, and in vivo studies at contract research organizations - Structural biology, computational protein design, or coding skills, for example Python for sequence and assay data analysis or structure prediction and protein design tools - Experience using AI or ML tools in the life sciences - Publications and/or patents demonstrating scientific impact The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Engineer, Bioinformatics
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Senior Software Engineer on the Life Sciences team, you'll build biology software that our own scientists and the wider research community can depend on, and you'll be one of the main people representing that work to computational biologists outside Anthropic. The Life Sciences team works to accelerate progress in biology with AI, combining frontier models with hands-on computational and experimental research. We want the tools, pipelines, datasets, and benchmarks we build in genomics and structural biology to be useful beyond our own projects, so we plan to release them to the community. Computational biology has a long tradition of open, shared software, and we want to contribute to it well. Every release should be something a researcher can install, run on their own data, and trust: correct on real inputs, validated against reference data and established methods, documented, versioned, and maintained after launch. You'll own that standard. You'll write a large share of the code yourself, decide when something is ready to ship, and stay with it once people start using it. You'll also be an active member of the biology software community: maintaining public repositories, answering issues, speaking at conferences and workshops, and bringing what you hear from researchers back into what we build next. We use Claude and AI coding agents heavily to build software, and we expect you to do the same across design, implementation, testing, and review. Code written by an agent is held to the same standard as code written by hand: you should understand it, test it, and measure its performance before it ships. We're looking for someone with deep software engineering experience who already works this way. The shape of the role is flexible. You might spend most of your time as an individual contributor, or you might lead a small group of engineers and scientists while continuing to contribute directly. Your focus can be genomics, structural biology, or both. Experience in other areas of computational biology is welcome, and we expect the work to range more widely over time. What matters most is a record of biology software that other people have adopted and relied on. This is a chance to shape how AI is put to work in biological research, on problems that matter for human health and scientific understanding. If building software that scientists trust is the work you want to do, we want to hear from you. Key responsibilities - Design, build, and maintain biology software in genomics and structural biology (libraries, command-line tools, pipelines, datasets, and benchmarks) for use by researchers and AI agents, inside Anthropic and externally - Own the path from research code to public release, including testing, validation against reference data and established tools, benchmarking, documentation, and packaging, and make the call on when something is ready to ship - Maintain what we release: triage issues, review outside contributions, and manage breaking changes - Represent the team in the biology community through conferences, workshops, tutorials, and direct work with researchers and maintainers, and turn what you learn about their needs into priorities for the team - Partner with the team's computational and experimental scientists to turn research code into well-tested, reusable software - Lead the technical direction of the projects you own through design review, code review, and mentoring, and, depending on your interests and the team's needs, lead a small team - Build with Claude and AI coding agents as your default way of working, hold agent-written code to the same standard as your own, and set the team's practices for reviewing and validating it Minimum qualifications - Have built, released, and maintained biology software that researchers outside your own group use, with evidence of adoption you can point to (for example public repositories, package downloads, citations, or use in other groups' pipelines) - Have deep working expertise in genomics or structural biology, including the data types, file formats, standard tools, and common failure modes of at least one of these fields - Are proficient in Python and comfortable working with large datasets in Linux and cloud or cluster computing environments - Practice rigorous testing and release engineering: unit and integration tests, continuous integration, validation against reference data, packaging, and versioning - Use AI coding tools as a central part of how you build software, and can show how you verify the correctness and performance of code you did not write by hand - Have led a technical project with multiple contributors, setting direction and reviewing others' work while continuing to write code yourself - Can explain technical work clearly to both biologists and engineers, in writing (documentation, tutorials) and in person (talks, workshops) Preferred qualifications - Depth in both genomics and structural biology - A record as the creator or a core maintainer of a widely used open-source tool in computational biology - Experience managing or formally leading a team of engineers or scientists - A graduate degree in computational biology, bioinformatics, computer science, or a related field, or equivalent experience - Proficiency in a systems language such as Rust, C++, or C, and experience with performance work on large biological datasets - Experience building software in other areas of computational biology, such as phylogenetics, proteomics, cheminformatics, or high-throughput screen analysis - Experience shipping software built largely with AI coding agents, building agentic systems on large language models, or training machine learning models on biological sequence or structure data The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Principal Place and Route (PnR) Engineer
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the team The Place and Route team writes the software that maps dataflow graphs onto SambaNova’s Reconfigurable Dataflow Unit (RDU). Our tools partition each graph, place the pieces on the chip’s compute and memory units, and route the communication between them. The quality of that mapping sets the throughput of the compiled program, including large language model inference and training. We are looking to grow our team with highly motivated engineers who want to utilize advanced algorithms to solve challenging problems. About the Role You will develop and tune the partitioning, placement, and routing algorithms that map customer workloads onto the RDU. You will work with the compiler team, hardware architects, and performance engineers to model new hardware constraints and trace throughput gaps back to mapping decisions. Your changes will ship in production releases and show up in measured performance. Responsibilities - Develop partitioning, placement, and routing algorithms that meet hardware resource constraints and keep compile times practical - Tune PnR results for target workloads, including LLM inference at different batch sizes and concurrency levels - Model new hardware constraints and architecture features in our solvers and heuristics as the chip evolves - Analyze compiled output with performance engineers and trace throughput gaps back to mapping decisions - Build the infrastructure for prototyping, regression testing, and deployment of PnR changes - Work with the compiler and hardware teams to define interfaces and resource models Required Qualifications - M.S. or Ph.D. in Computer Science, Computer Engineering, or related field - 3+ years of experience developing optimization or graph algorithms in industry or research - Expert knowledge of graph algorithms, partitioning algorithms, combinatorial optimization, or MILP solvers - Strong proficiency in C/C++ - Familiarity with Python - Experience designing large, highly parallel, performance-sensitive systems - Ability to learn hardware architecture and apply it to improve performance - Experience solving NP-hard problems in practice with heuristics, approximation, or pruned exact methods Preferred Qualifications - Experience with place and route for FPGAs, CGRAs, or other spatial architectures - Experience with ML compilers such as MLIR, LLVM, TVM, or XLA - Experience with simulated annealing, constraint programming, or SAT/SMT solvers - Familiarity with LLM inference stacks such as vLLM and PyTorch - Publications at venues such as FPGA, DAC, ICCAD, or MLSys Base Salary Range: Base Pay Range $1 - $999,999 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Senior Principal Model Bring-up Engineer
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the team We take frontier open-weight models (dense, mixture-of-experts with hundreds of experts, hybrid Mamba/attention, sliding-window attention, multi-token prediction) from Hugging Face to production serving on SambaNova's RDU dataflow accelerators. That means compiling them, proving them numerically correct against the reference, serving them with the full feature set, and merging the work into a shared stack so the next model is cheaper. About the role You will bring new open-weight LLMs, including dense, mixture-of-experts, and hybrid Mamba/attention architectures, up on SambaNova’s RDU dataflow accelerators and into production serving. That means adapting the model, mapping it across chips and hosts, compiling it, and validating it numerically against the reference. You also build inference features like continuous batching, speculative decoding, and FP8/FP4 as shared modules, so each new model costs less to bring up. Responsibilities - Bring up new LLM architectures end to end: model adaptation, checkpoint conversion, multi-chip / multi-host mapping, compile, strict numerical validation, production serving with latency / throughput numbers. - Build inference features once as shared modules: continuous batching over a paged KV pool, prompt caching, chunked and incremental prefill, dynamic tensor shapes, speculative decoding (EAGLE-3, drafters, MTP), FP8 / FP4, tensor and expert parallelism. - Debug where model, compiler and hardware meet; land each fix in the right shared component. Required qualifications - B.S. in Computer Science, Electrical Engineering, or related field - 8+ years of industry experience in ML systems, inference, or compiler engineering - Strong Python and PyTorch internals experience, plus some C++ - Deep transformer-inference knowledge, including KV caching, GQA and sliding window attention, MoE routing, prefill vs decode, batching, and speculative decoding - Hands-on experience with accelerator bring-up, ML compilers (MLIR, XLA, TVM, Triton, torch-mlir), or inference engines (vLLM, SGLang, TensorRT-LLM) - Rigor in numerical debugging - Comfort with Bazel, Slurm, and large monorepos - Clear writing and evidence-backed claims Preferred qualifications - M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field - Experience with dataflow or spatial compilers - Experience with kernel DSLs - Experience with FP8 and FP4 inference - Experience with Mamba and SSMs - Experience with expert parallelism - Experience with multi-agent AI engineering workflows - Open-source inference or compiler contributions Success in six months Own a model family from first compile to served and merged; turn a one-model fix into a shared module others adopt; measurably shorten one long loop for the team. Base Salary Range: Base Pay Range $208,000 - $312,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Principal AI Researcher
Your work will change lives. Including your own. The Impact You’ll Make: Human biology stems from four billion years of evolution, which creates a proliferation of complexity and heterogeneity. The combinatorial explosion of biological hypotheses easily surpasses the number of atoms in the universe. Meanwhile, medical discovery advances at the snail pace of clinical trials, each taking years and costing over $100 million. As we enter the era of precision health and try to tailor treatments for each individual, continuing on today's discovery processes is clearly unsustainable. With the confluence of digital transformation and intelligence revolution, we have an unprecedented opportunity to develop a unifying biomedical world model by bridging virtual patient and virtual cell, and turning real-world data into a discovery engine to close the loop of clinical care and drug discovery. As a Principal AI Researcher, you will join our cross-functional team of top-notch scientists, engineers, and drug hunters in the quest of scalable biomedical discovery. You will work at the forefront of AI-powered drug discovery, advancing frontier research and end-to-end applications across discovery, design, and translation. The Team You’ll Join: Recursion is a pioneer in AI-native drug discovery. In the past decade, we have built an unparalleled array of infrastructures across drug discovery and clinical development, operating one of the largest AI compute clusters in biopharma, and spearheading industrial-scale phenomics for perturbation data generation at cellular resolution, long before "virtual cell" entered the mainstream. United under the mission of “decoding biology to radically improve lives”, we offer a unique vibrant environment that features frontier research, industrialized wet and dry labs, and real-world delivery, with close feedback loops and rapid iterations, much like a lean startup. You will join fellow experts across research and engineering, biology and medicine, business and operation, who are similarly committed to accelerating biomedical discovery and democratizing precision health for everyone in the globe. The Experience You Will Need: - PhD in ML, NLP, computer vision, or the equivalent practical experience - Passionate about real-world applications and impact - Strong verbal and writing communication skills - 10+ years of frontier AI research experience - Experience with large datasets and cross-functional AI projects - Experience in biomedicine and drug discovery a plus; willingness to learn a must! LI-DNI The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Applied Science - Time Series
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job Mistral AI is seeking Applied Scientists and Research Engineers focused on time series. You will design, train, and deploy state-of-the-art time-series foundation models, and apply them to the most demanding forecasting problems in industry, from power grids and plants to trading desks. Timestral, our family of time-series foundation models, ranked first on amongst all benchmarks at release ( tech report ). The role has two sides: building the next generations of Timestral with our Science team, and taking them into production with our industrial and financial clients, adapted to their data. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry. What you will do - Run pre-training, post-training and deploy state of the art time-series foundation models on clusters with thousands of GPUs. - Generate and curate large-scale time-series datasets, real and synthetic, and build evaluators and benchmarks for forecasting and other time-series tasks. - Push the frontier of Timestral: architectures, training recipes, scaling, and new capabilities such as anomaly detection, classification and embeddings. - Fine-tune and adapt Timestral on client data, in the cloud or on-premise, and benchmark it against the client's existing models. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases, including agents that combine Timestral with Mistral LLMs. - Manage research projects and communications with client research teams. About you - Fluent in English with excellent communication skills, at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Solid knowledge of modern deep learning and large language models: architectures, pre-training, post-training and evaluation. - Experience pre-training or fine-tuning time-series foundation models or large transformer models at scale. - Strong background in time-series modelling: probabilistic forecasting, multivariate series and covariates, and classical baselines (statistical models, gradient boosting). - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn't need roadmaps: moves independently and is comfortable with uncertainty. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. Nice to have - Ex-founder or builder - PhD / Master in a relevant field (Machine Learning, Statistics, Applied Mathematics, Physics). Exceptional candidates from other backgrounds welcome. - Research on time-series foundation models: pre-training, scaling, synthetic data or evaluation. - Hands-on experience training or fine-tuning LLMs, building agents and tool use, or models that combine text and time series. - Industry experience in energy, industrial operations, telecom or finance, or experience deploying models for industrial clients. - Experience working on large code bases or large machine learning models at scale. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Anthropic Research Resident
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 Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect - A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers - Access to Claude models and GPU compute - Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you - Are motivated by making sure AI is safe and beneficial for society as a whole - Are excited to transition into working on empirical AI research full-time - Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) - Thrive in fast-paced, collaborative environments - Can implement ideas quickly and communicate clearly Strong candidates may also - Have experience authoring research papers in machine learning, NLP, or AI safety - Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: - Sara Price : leads the Alignment Training team; background in data science - Ethan Perez : leads the Alignment Science team; background in machine learning - Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) - Samuel Marks : leads the Scalable Oversight team; background in mathematics - Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics - Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) - Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience - Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain - Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment - Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. - Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. - Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. - Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. - Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. - AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming - Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning - Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics - Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. - Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. - Commitment: Full-time role for the duration of the residency. - Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits - Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £265,000 - £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Principal Data Scientist - Safety
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY CONTENT SAFETY? Content safety and moderation are paramount to maintaining a positive, engaging, and trustworthy platform experience for our global community. In this role, you will apply your expertise in data science, statistics, and causal inference to strategically define, measure, and improve the detection and mitigation of harmful user-generated content and violative on-platform behaviors. Your focus will be on asset-based content across the platform - including games, avatars, and emerging in-game behaviors - by establishing reliable ground truth datasets and developing robust prevalence measurement methodologies. You will collaborate closely with Product, Engineering, Legal, Policy, and Compliance teams, acting as the quantitative expert who guides our defensive strategy against evolving safety threats and ensures accountability and scalable solutions. This is a critical opportunity to build innovative detection systems, define what we measure, and prove the impact of our safety efforts. YOU WILL: - Establish and monitor robust prevalence measurement methodologies to accurately quantify the overall level of harmful content and behavior on the platform, providing the authoritative source of truth for organizational safety goals. - Develop and validate comprehensive ground truth datasets for harmful UGC and violative on-platform behaviors, ensuring high quality and alignment with the latest platform policies. - Deepen our understanding of violations by conducting exploratory analysis on current and emerging threat landscapes, providing data-backed recommendations on where Product and Engineering should strategically invest detection and moderation resources. - Design, implement, and analyze sophisticated experiments for new moderation and safety enforcement features, communicating results to our primary partners in Product and Engineering to guide development, while also collaborating closely with Policy, Compliance, and Legal teams for full strategic alignment. - Leverage advanced causal inference methodologies to accurately measure the effectiveness and potential systemic impacts of various safety initiatives on player experience and platform integrity. - Communicate strategic insights and present recommendations to leadership and all cross-functional partners, translating complex statistical findings on prevalence, ground truth quality, and effectiveness into actionable strategies for Product, Engineering, Policy, Compliance, and Legal - Partner with ML and Data Engineering teams to ensure model development, reporting, and detection systems are built on statistically sound ground truth and measurement frameworks. YOU HAVE: - 10+ years of industry experience in data science, economics, analytics, or machine learning engineering - 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow - Knowledge of ML and Deep Learning either via formal training or industry experience - Ability to apply creative first-principles reasoning to solve ambiguous problems - Experience developing large-scale safety or moderation systems as well as experience with content platforms, specifically user-generated content - Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $274,000 - $373,680 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Software Engineer, Safety Foundation
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Safety? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this tool belt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. Why Safety Foundation? Safety Foundation is the infrastructure backbone that powers safety across Roblox. Every piece of content reviewed, every moderation action taken, every safety workflow running anywhere on the platform flows through systems built by this team. We are the platform that other safety teams build on — and right now, we're in the middle of one of the most significant evolutions in our history. We're scaling to handle 10x more traffic while keeping cost growth in check. We're rebuilding the platform to be AI-first, natively supporting agentic and ML-driven safety workflows without compromising on security or auditability. And we're radically improving developer velocity — cutting the time it takes any team to integrate safety capabilities from months to hours. As a Senior Software Engineer on the Safety Foundation team, you will architect, implement, and grow the systems that enable the moderation of all content and interactions on Roblox. Your work will be fundamental in keeping the experiences of over 100+ million daily active users at Roblox safe, civil, and delightful. In this role, you will report to the Engineering Manager of the Safety Foundation team. You Will: - Contribute to the architecture & development of the Safety Platform - the backbone that powers safety across Roblox. - Help design & build the developer experience layer that enables product teams across Roblox to integrate safety capabilities in hours, not months - Take ownership of projects from concept to deployment, ensuring high quality, reliability, and scalability. - Partner closely with Trust & Safety ML, User Safety, Safety Operations, and product teams to translate platform needs into durable infrastructure You Have: - 5+ years of experience building & operating backend services and/or distributed systems - Proficient in Go or a similar compiled language (Go strongly preferred) - Experience with or strong interest in building developer platforms - Experience with CQRS, Event Sourcing, NoSQL tech such as Cassandra, DynamoDB is a plus - BA/BS in Computer Science, Engineering, or a related technical field — or equivalent experience You Are: - Versatile: You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation. You are resourceful, and take a creative and strategic approach to solving hard problems. - Analytical: Excited to investigate large, ambiguous problems, and quantify the problems and the solutions. - User Oriented: You always start with the needs of the user, whether they are Roblox users or internal engineers before architecting a solution. - Team Oriented: You lift up your peers and find ways to make the team stronger. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $196,750 - $243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Principal Machine Learning Platform Engineer, Foun...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation. We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less. We’re looking for a Principal Platform Engineer who treats platform as a product : someone who can turn complex ML/AI infrastructure into clear, durable APIs, SDKs and easy-to-use CLIs/UIs that our internal developers love. This role blends product thinking, developer experience, backend engineering, and infrastructure at scale. Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must. You Are - Have 10+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox. - A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback, and constantly drive towards getting platform features in customers hands. - Proficient in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use. - Good to have - experience with the end‑to‑end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use. - You're passionate about infrastructure‑as‑code and automating painful manual processes. You push for platform solutions that don’t leave on-call teams carrying the burden of design choices. - Passionate about supporting ML engineers to meet and understand their needs, and translating them into clean, durable platform abstractions. - A clear communicator who excels at both written and verbal communication across differing levels of technical detail. - Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field. You Will - Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship APIs, SDKs, CLIs, and UIs that make ML@Roblox easy to adopt. - Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost. - Design great developer experiences with paved‑road templates, golden paths, opinionated defaults, and clear docs to reduce time‑to‑first‑production. - Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes. - Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU‑intensive training and high‑QPS inference. - Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle. - Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading‑edge technologies and practices. - Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $295,250 - $345,050 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Distinguished Engineer, Machine Learning - Discove...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Distinguished Engineer/Technical Director on Discovery, you’ll be in charge of the overall technical vision and execution for all machine learning initiatives across search and discovery teams. The mission of these teams is to connect a billion users with the best connections and content at the right time, covering a very diverse range of search and recommendation problems at a high scale. This is fundamental to how we personalize the experience to drive engagement and retention for Roblox users. With daily active users growing at a record rate, we are looking for expert tech leaders who are passionate about crafting and building machine learning solutions to power Search and Recommendations. You Will: - Own the technical direction and implementation for the machine learning solutions that power the search and recommendation systems, driving Roblox content distribution. - Author specs for new features and improvements. You would be responsible for setting the AI strategy, pushing the frontier of recommendation technology, and driving business outcomes across candidate generation, ranking, objective functions, and value delivery for both users and developers. - Build and evolve infrastructure for training, serving, and evaluating both traditional ML models and Generative AI models (e.g., embedding-based retrieval, transformers, LLM-based workflows) - You will co-design models and systems, working at the intersection of model architecture and infrastructure, partnering closely with core modelers, data and AI infrastructure engineers, and product teams to push the boundaries of large-scale training and serving. - Lead other engineers by example and through technical direction as an individual contributor and create an engineering culture of excellence - Become an authority on our technology stack and make sure we always build new solutions the right way - Collaborate with other teams within Roblox to make sure we are building products with community and company first attitude. - Balance researching new technologies with a practical approach to realize the research efforts into the Roblox products - Collaborate with the industry and communities where applicable and be ambassador for Roblox. You Have: - 10+ years of experience and a consistent record of delivering and improving large-scale search and recommendation systems. - Experience crafting and building large scale machine learning models with billions of parameters and launching them into production. - The capability of breaking down long-term product requirements into iterative deliverable stages. - Initiated and facilitated challenging technical decisions across multiple teams and organizations. You are empathetic and find common understanding. - Deep technical expertise, you always start with the needs of the user, whether they are Roblox users or internal engineers. - A generalist approach and you have mastered several languages and technologies already; you can easily adapt to any situation. - The ability to roll up your sleeves to tackle data problems or machine learning problems when they come up. - A creative and strategic approach to solving hard problems. You simplify the complex. You bring in fresh ideas from new places. - BS in Computer Science or a related discipline, MS/PhD are a definite plus. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $419,390 - $457,970 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Principal Software Engineer- Agentic Customer Care
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization’s mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY Safety Experience? Safety is paramount at Roblox, and it shows up in everyday human moments. A rating left on a game. The words a Customer Care agent chooses when replying to a report. Whether a suspended account feels like a fair call or an arbitrary one. How fast someone gets back into an account they thought was gone for good, guided by an agentic Customer Care experience. Every one of these moments runs through systems we build: our tools, our data pipelines, our audit trails. We are looking for a Principal Software Engineer to join our Safety Experience team within the Trust & Safety organization. In this role, you will revolutionize Roblox users' perception of safety by developing agentic applications and complex technical solutions at scale. You Will: - Design and build agentic workflows and technical solutions for both customer facing applications and internal use cases. - Stay familiar with recent trends in LLMs and develop innovative solutions and features for the chatbot, while optimizing for cost. - Influence the team's roadmap and long-term strategy in collaboration with product, operations, and other cross functional stakeholders to develop the next generation of safety experience. - Provide technical leadership, influencing decisions within and beyond the pod - Mentor junior engineers to strengthen their technical skills and support their professional growth. You Have: - A Bachelor's degree in Computer Science, or a related field, with a minimum of 8 years of hands-on experience. A graduate degree is highly preferred. - Proven experience developing innovative solutions using LLMs is required. - Extensive experience with modern programming languages such as C#, Java, Python, or similar, with a strong emphasis on writing efficient, maintainable, and scalable code. - In-depth knowledge of contemporary software design patterns, including microservice architecture, RESTful APIs, and Remote Procedure Calls (RPC), with a proven track record of building robust and scalable systems. - Demonstrated ability to develop end-to-end solutions for complex technical challenges, collaborating across multiple teams from conception through to launch. - Proven experience developing innovative solutions using LLMs is highly desirable. - Prior experience in machine learning is helpful. You Are: - A Technical Leader: You have initiated and facilitated challenging technical solutions. Your technical expertise influences product direction. You foster a culture of technical excellence. - Versatile: You're a jack of all trades and you are comfortable with several languages and technologies already; you are adaptable in any situation. You are resourceful, and take a creative and strategic approach to solving hard problems. - Analytical : Excited to investigate large, ambiguous problems, and quantify the problems and the solutions. - User Oriented: You always start with the needs of the user, whether they are Roblox users or internal engineers before architecting a solution. - Team Oriented: You lift up your peers and find ways to make the team stronger. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $295,250 - $345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Machine Learning Platform Engineer, Foundat...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform powers hundreds of use cases and billions of inferences per day across Discovery, Safety, Economy, and Creation. We build the primitives that let teams train, evaluate, deploy, and operate models quickly and safely—so a new ML idea can reach production in weeks or less. We’re looking for a Principal Platform Engineer who treats platform as a product : someone who can turn complex ML/AI infrastructure into clear, durable APIs, SDKs and easy-to-use CLIs/UIs that our internal developers love. This role blends product thinking, developer experience, backend engineering, and infrastructure at scale. Hands‑on ML experience is a plus; a track record of building internal platforms that developers love is a must. You Are - Have 7+ years of professional experience and have a wealth of system design experience upon which to draw to build a scalable, reliable ML platform for all of Roblox. - A Code Machine; you love not only to design and communicate ideas but also to actually ship product. You obsess about user feedback, and constantly drive towards getting platform features in customers hands. - Proficient in API design and developer experience—gRPC/REST APIs, SDKs, CLIs, and simple UIs that developers love to use. - Good to have - experience with the end‑to‑end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use. - You're passionate about infrastructure‑as‑code and automating painful manual processes. You push for platform solutions that don’t leave on-call teams carrying the burden of design choices. - Passionate about supporting ML engineers to meet and understand their needs, and translating them into clean, durable platform abstractions. - A clear communicator who excels at both written and verbal communication across differing levels of technical detail. - Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field. You Will - Own platform as a product and set direction end to end: Define requirements, write RFDs, and ship APIs, SDKs, CLIs, and UIs that make ML@Roblox easy to adopt. - Bootstrap and maintain core ML Platform components: Serving Layer, Model Registry, Pipeline Orchestrator, and Training/Inference control planes. - Set technical strategy and oversee development of high scale and reliable infrastructure systems, with clear SLOs for latency, availability, and cost. - Design great developer experiences with paved‑road templates, golden paths, opinionated defaults, and clear docs to reduce time‑to‑first‑production. - Instrument the platform to measure adoption, friction, reliability, and cost; use data to prioritize roadmap and validate outcomes. - Partner across organizations (ML Engineering, Data Science, Infra/SRE, Security, Finance) to optimize performance, safety, and spend, especially for GPU‑intensive training and high‑QPS inference. - Propose and implement new platform tooling to improve time to production for MLEs across the full ML lifecycle. - Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading‑edge technologies and practices. - Mentor junior and senior engineers, lead design reviews, and drive cross‑team architectural decisions that last. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $243,290 - $312,970 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Software Engineer, GenAI Platform
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. About the role: Foundation AI builds the platforms, services, and infrastructure that enable machine learning and generative AI across Roblox. In this role, you’ll work across areas such as model training and inference, LLM services, Agent infrastructure, data systems, experimentation, evaluation, and developer tooling while learning how to build reliable systems at scale. You’ll design, code, test, launch, and operate production features, partnering with teams across product, research, data, infrastructure, safety, creator, engine, discovery, and economy. You will report to an Engineering Manager within Foundation AI organization. You will: - Build platforms and services that power machine learning, generative AI and agentic platform and product experiences across Roblox. - Explore emerging technologies, including ML frameworks, LLMs, agentic systems, distributed systems, and GPU infrastructure. - Improve the speed, reliability, observability, and cost efficiency of AI development - Contribute to systems operating at Roblox scale while balancing quality, latency, reliability, and responsible data use. You have: - You have an undergraduate/graduate degree in computer science or equivalent experience in engineering, a related technical field. - 1–3 years of experience in software engineering, distributed systems, cloud services, or a related area. - Experience building projects through coursework, internships, research, or personal work. - Working knowledge of one or more programming languages, such as Go, Python, or Rust, along with an interest in learning new technologies. - Interest in machine learning, generative AI, distributed systems, data infrastructure, or developer platforms. - Strong communication skills and a willingness to collaborate across teams and disciplines. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $153,120 - $196,750 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Design Engineer
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! About the Role We're looking for a design engineer to help build and maintain Waypoint, our design system, across both the Figma library and the production codebase. This is not a "designer who codes a little" or an "engineer who dabbles in Figma" role. You should be genuinely fluent on both sides, comfortable defining a component's behavior and states in Figma one hour and shipping the same component to npm the next. You'll take direct ownership of the Figma side of our library (structure, variants, tokens, documentation) while also contributing to the core Waypoint system: our component packages, our token pipeline, and the tooling that keeps design and code in sync. If the idea of being the single point of continuity between a Figma frame and a production component sounds exciting rather than exhausting, this is your role. We're also thinking beyond the system we have today. Waypoint isn't just meant to serve designers and engineers, it's meant to become something a model can read, reason about, and build with directly. We want someone who can help us get there: grounded enough to do the unglamorous work of making today's system solid, and forward looking enough to help define what an intelligent design system looks like next. Why this role Waypoint is still early enough that the decisions you make now will shape how the system scales. You'll have real ownership, not just a queue of component tickets, and you'll be working alongside a team that treats design and engineering as one discipline rather than two departments that hand work back and forth. And you'll be helping define what a design system becomes when it has to serve a third audience: the models that will increasingly build with it. Responsibilities - Own and evolve the Figma library for Waypoint: component structure, variants, properties, and documentation, so it stays a reliable source of truth for design teams. - Build and maintain core Waypoint components, contributing directly to our component packages alongside the design engineering team. - Work across our token pipeline, keeping design tokens in Figma and their code representations (CSS custom properties, Tailwind config) tightly synced. - Partner with product designers to translate new patterns into system components, and with product engineers to make sure those components are easy to adopt correctly. - Help define and refine the workflows and tooling that connect Figma and code (sync scripts, plugins, documentation sites) rather than relying on manual handoff. - Write clear documentation and usage guidance so the system scales without you being the bottleneck. - Weigh in on system architecture decisions: when to add a new component versus extend an existing one, how to version and package changes, how to keep the system consistent as it grows. - Help shape how Waypoint evolves to serve a third consumer beyond designers and engineers: the model itself. That means thinking about how components, tokens, and patterns get structured so they're legible to AI systems, not just to humans. Qualifications - Own and evolve the Figma library for Waypoint: component structure, variants, properties, and documentation, so it stays a reliable source of truth for design teams. - Build and maintain core Waypoint components, contributing directly to our component packages alongside the design engineering team. - Work across our token pipeline, keeping design tokens in Figma and their code representations (CSS custom properties, Tailwind config) tightly synced. - Partner with product designers to translate new patterns into system components, and with product engineers to make sure those components are easy to adopt correctly. - Help define and refine the workflows and tooling that connect Figma and code (sync scripts, plugins, documentation sites) rather than relying on manual handoff. - Write clear documentation and usage guidance so the system scales without you being the bottleneck. - Weigh in on system architecture decisions: when to add a new component versus extend an existing one, how to version and package changes, how to keep the system consistent as it grows. - Help shape how Waypoint evolves to serve a third consumer beyond designers and engineers: the model itself. That means thinking about how components, tokens, and patterns get structured so they're legible to AI systems, not just to humans. Nice-to-haves - Experience building or contributing to design-to-code sync tooling (Figma plugins, token pipelines, MCP-based workflows, or similar). - Familiarity with accessibility standards (WCAG) and how to bake them into components rather than bolt them on. - Experience packaging and versioning component libraries for multiple consuming teams (npm scoped packages, semver, changelogs). - Exposure to multi-platform design systems work (iOS/SwiftUI, Android/Jetpack Compose, or token build tools like Style Dictionary). - Experience in an AI native product environment or genuine interest in how AI changes the way design systems get built and used. 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.
Staff Software Engineer, Native Mobile
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Staff Software Engineer, Native Mobile to join the App Infra team within the Consumer & Business group and help lead Coinbase's greenfield native mobile app rewrite. This team is replacing the existing React Native app with native Swift and Kotlin builds, using AI-driven agentic workflows to translate and rebuild every core surface for millions of customers. Your direction will determine how the team works: you'll bring deep iOS or Android expertise to set the technical bar, own quality outcomes, and translate org strategy into the team's technical execution as product teams onboard to native. What you'll do: - Own the architecture of core native app surfaces in Swift and Kotlin, making the structural decisions that product teams build on as they onboard to native. Make this architecture enforceable: define the module boundaries and responsibilities, visibility rules, and compile-time checks that yield a high quality and scalable codebase by default. - Stay hands-on across the team's codebases, writing and reviewing code at depth rather than directing from a distance. - Lead the agentic code translation workflow, implementing high-quality automated systems for the team's recurring migration work before asking for headcount, and setting what gets automated versus what stays human across the translation pipeline. - Own developer experience for the native codebase, accelerating every engineer who onboards by improving build speeds, local development workflows, and CI/CD reliability, and by defining the architectural patterns and documentation that make native mobile development at Coinbase a world-class experience. - Shape the dual-app agentic synchronization strategy during the transition, prioritizing the highest-impact outcomes and designing the daily agent automations and human review processes that keep native and React Native codebases in sync. - Become a leader throughout the entire mobile community at Coinbase, defining best practices, mentoring L3-L5 mobile engineers across all teams, and fostering connection and support between all mobile engineers. Required Skills and Experience: - 8+ years of iOS or Android mobile software engineering experience (Swift/iOS or Kotlin/Android), with working proficiency in the other platform and willingness to develop cross-platform fluency, as engineers on this team own both iOS and Android. - Track record of shipping high-quality mobile applications at scale with ownership of architecture decisions, performance budgets, and release quality, with outcomes that would not have happened without your direct involvement. - Deep understanding of mobile performance optimization, including cold start, frame stability, scroll jank, and time to interaction, with experience profiling and tuning across device tiers including low-end Android. - Demonstrated ability to translate org strategy into team-level technical execution, build alignment across cross-team and cross-functional partners, and secure commitment on migration timelines and quality standards. - Experience with AI-assisted code generation or LLM-driven development workflows, with demonstrated judgment on what to automate and what requires human review. - Experience improving developer experience through build systems, CI/CD pipelines, and release tooling, with improvements adopted beyond your immediate team. - Uses generative AI responsibly, maintaining human oversight to deliver business-ready outputs and measurable gains in workflow efficiency, cost, and quality. Job# P78587 Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $218,025 - $256,500 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Senior Machine Learning Engineer, Discovery Recomm...
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do You will design, build, and optimize the recommendation systems that power Fortnite's Discover experience, serving personalized recommendations to one of the largest player bases in gaming across a massive catalog of creator-built experiences. You'll work across the full recommendation stack: candidate generation, content ranking, impression allocation, and real-time reranking. Unlike recommendation systems that operate over a stable catalog, you're working with a massive, rapidly changing content library where new experiences are published daily, quality signals are sparse, and the system's own outputs shape the data it learns from. In this role, you will - Design and implement retrieval, ranking, and reranking models for creator content using deep learning approaches (two-tower architectures, transformer-based sequence models, embedding-based retrieval) and build the user representation systems that power personalized discovery - Build and optimize multi-stage candidate generation and impression allocation pipelines that balance relevance, diversity, and fair content exposure across a large and rapidly evolving catalog - Design and run A/B experiments to validate model improvements, own evaluation frameworks that capture recommendation quality holistically, and drive the path from experiment to production deployment - Collaborate with analytics and content quality teams on ranking signals including genre classification, creator credibility, and content quality metrics - Own ML infrastructure decisions: choosing the right tradeoffs between batch, near-real-time, and streaming serving architectures What we're looking for - 5+ years of experience building production recommendation or ranking systems, ideally in a UGC, marketplace, or content discovery context - Experience with deep learning for information retrieval and multi-stage recommendation pipelines (candidate generation, scoring, reranking) - Demonstrated ability to design and analyze A/B experiments, with awareness of biases inherent to recommendation systems - Strong Python engineering skills with experience in PyTorch and large-scale data processing frameworks (Spark preferred) - Comfort working in a cloud-based ML environment - Experience with explore/exploit strategies, content cold-start, or counterfactual evaluation methods applied to recommendation - Experience with content understanding models (NLP, vision, or generative AI) used as ranking features - Familiarity with creator economy dynamics and how recommendation design affects content quality and creator incentives - Experience with our stack: PyTorch (TorchRec, Transformers), Ray, Databricks, AWS - Passion for video games and/or experience with gaming analytics EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
Senior Staff Software Engineer, Native Mobile
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Senior Staff Software Engineer, Native Mobile to join the App Infra team within the Consumer & Business group as a technical architect for Coinbase's native mobile future. This is the most significant client platform shift in the company's history, replacing the React Native app with native Swift and Kotlin builds for millions of customers. Coinbase mobile engineers will be expected to support both iOS and Android on their teams using AI-driven agentic translation at unprecedented scale. You'll own outcomes spanning the App Infra team and our ~30 product teams, set our architectural patterns, and relentlessly drive Coinbase towards a novel, world-class mobile development experience. What you'll do: - Define the technical strategy to make the native app development future at Coinbase a reality. - Lead the AI-assisted migration approach, designing reusable AI-automation paradigms such as agent swarms, automated dual-repo synchronization, and continuous improvement of translation efficiency using automated feedback loops. - Architect a paved-road native framework in Swift and Kotlin that sets the architectural bar across teams, unlocking the ability for a single mobile contributor to be productive in both iOS and Android codebases simultaneously. - Drive organizational readiness as a trusted cross-functional partner with product, design, and engineering leadership, resolving cross-team blockers, de-escalating conflict during the dual-app straddle period, and holding peer leaders to a high bar so their patterns spread across teams. - Mentor L5-L6 engineers, develop the technical leadership pipeline for native mobile, and recruit actively through reputation, ensuring the team excels in your absence and your successor is developing. - Become a leader throughout the entire mobile community at Coinbase, defining best practices and fostering connection and support between all mobile engineers. Required Skills and Experience: - 12+ years of software engineering experience with deep expertise in iOS or Android native mobile development (Swift/iOS or Kotlin/Android) and strong working proficiency in the other platform, operating at depth across your own and adjacent team codebases. - Track record of owning outcomes spanning 2-3+ teams that drive business impact, including multi-phase platform migrations or rewrites at scale where you shaped strategy and made trade-offs that raised ROI across teams. - Deep mobile performance expertise across iOS and Android, including cold start optimization, frame stability, scroll jank elimination, and device-tier profiling, with experience setting the architectural bar and defining ownership boundaries other teams build against. - Proven influence without authority at senior levels, with experience changing the technical direction of teams outside your own, securing leadership alignment on ambiguous high-stakes decisions, and resolving cross-team blockers using all tools at your disposal. - Experience designing AI-native engineering workflows adopted across teams, including LLM-driven code generation, agent-based automation, or reusable automation patterns that re-implement existing workflows. - Uses generative AI responsibly, maintaining human oversight to deliver business-ready outputs and measurable gains in workflow efficiency, cost, and quality. Job# P78586 Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $253,895 - $298,700 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
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