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Strategic Technology Negotiations Lead
About the Team OpenAI's Strategic Sourcing team helps the company scale responsibly, efficiently, and at speed. We partner with leaders across Engineering, Research, IT, Systems, Finance, Legal, and other teams to shape commercial strategies, negotiate critical agreements, and build resilient supplier ecosystems. Our work connects technical strategy, commercial judgment, financial discipline, and execution in support of OpenAI's mission. About the Role OpenAI is seeking a Strategic Technology Negotiations Lead to personally lead some of the company's most complex and consequential technology negotiations. This is not a people manager role. It is a senior strategic IC operator role for an expert negotiator who wants to remain close to the work and personally drive high-impact outcomes. We are especially interested in leaders who have managed teams and are intentionally seeking an individual contributor role where their impact comes through judgment, influence, and direct ownership. Rather than owning a fixed category, you will be deployed against high-priority opportunities where deal complexity, commercial stakes, executive visibility, or time pressure require exceptional negotiation leadership. Your initial focus will include data platforms and infrastructure, including data lake and lakehouse technologies, observability, and enterprise SaaS, with flexibility to work across other strategic technology areas. You will lead negotiations from strategy through execution, aligning decision-makers and driving agreements to closure. Many of these negotiations exist within broader supplier and partner ecosystems. You will look beyond the immediate transaction to account for interconnected cost, equity, revenue, partnership, risk, and long-term strategic implications. Success requires strong economics, sound judgment under pressure, executive credibility, and the ability to bring stakeholders with you through difficult decisions. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Personally lead complex, high-value, and business-critical technology negotiations from initial strategy through signed agreement. - Develop fact-based negotiation plans that define objectives, leverage, alternatives, sequencing, roles, decision points, and escalation paths. - Rapidly synthesize technical requirements, supplier economics, market dynamics, adoption patterns, dependencies, and business priorities. - Partner with leaders across Engineering, Research, IT, Systems, Finance, Legal, Corporate Development, and other teams to establish a unified negotiation strategy. - Assess each negotiation within the broader supplier ecosystem, identifying interconnected relationships that may create value, constraints, dependencies, or leverage. - Shape complex deal structures with cost, equity, revenue, partnership, risk, and long-term strategic implications. - Advise executives through clear, decision-ready narratives covering deal strategy, financial impact, alternatives, risks, tradeoffs, and recommendations. - Lead supplier engagement at working-team and executive levels, including difficult escalations and negotiations conducted under significant pressure. - Create commercial structures that deliver meaningful savings and cost avoidance while improving scalability, flexibility, performance, and risk allocation. - Turn lessons from major negotiations into reusable playbooks, market intelligence, and stronger negotiation practices for Strategic Sourcing. You might thrive in this role if you: - Have 10+ years of experience leading complex commercial negotiations in strategic sourcing, technology procurement, strategic partnerships, deal strategy, corporate development, or a related field. - Are an expert negotiator who enjoys personally developing the strategy, leading the room, and driving difficult deals to resolution. - Have previously managed or led teams and are intentionally seeking a senior individual contributor role centered on direct ownership, influence, and execution. - Have personally led large-scale enterprise software or technology agreements with sophisticated pricing, commitment, licensing, consumption, or partnership structures. - Understand enterprise software business models, including usage-based pricing, multi-year commitments, ramp structures, pooled consumption, growth protections, and performance-based economics. - Can evaluate a deal across cost, revenue, equity, partnership value, supplier leverage, risk, and long-term ecosystem implications. - Have negotiated agreements involving data platforms, infrastructure software, observability, enterprise SaaS, or similarly complex technology categories. - Can engage credibly with deeply technical teams and influence senior executives through structured thinking, clear communication, and sound commercial judgment. - Remain effective under pressure, build alignment among stakeholders with competing objectives, and know when to challenge, escalate, create alternatives, or close. 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.
Revenue Compensation Lead
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for someone to join our Revenue Operations Team. This is the first dedicated compensation headcount in the team and will play a key role in scaling our compensation operations. This role sits at the intersection of operational rigor and cross-functional partnership, focusing on administering compensation programs, building scalable processes, and ensuring our GTM teams are paid accurately and on time. As part of the Revenue Operations team, you'll collaborate with Legal, HR, Finance, and Sales Leadership to design and maintain the systems, workflows, and governance structures that power our variable compensation programs. This is an exciting opportunity to bring operational depth and analytical expertise to a fast-paced, high-growth environment. In this role, you will be responsible for: - Process Design & Maintenance - Design and maintain scalable processes that support efficient compensation administration, including payout cycles, reconciliations, and operational close processes. - Compensation Administration - Administer compensation plans, quotas, credits, adjustments, exceptions, and payout processes, ensuring accuracy and consistency across GTM teams. - Governance & Compliance - Partner with Legal, HR, and Finance to support approvals, compliance, and audit requirements. Execute compensation letter generation, distribution, t
Senior Machine Learning Engineer, Developer Advoca...
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior ML Engineer Recommender Systems, Developer Advocacy | Canada | Remote This is a fully remote position and we're considering candidates in Canada. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. - Evolve the Interactive Learning Plugin's recommendation system - Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations. - You’ll own a real-time recommendation
General Manager - Switzerland
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is an in-country role, ideally based in Zurich. We are looking for an experienced General Manager who has successfully built and led sales and technical teams. The GM will be responsible for the overall country strategy and deliverables, in line with the company priorities. We are looking for an execution-focused operator who can propel ElevenLabs in the country. In this role you will: 1. Develop and execute our Country strategy, including sales, customer delivery, KPI setting and hiring. 2. Design the optimal pipeline to reach our ambitious sales targets in the B2B side. In this sense, you will be expected to lead interactions with the top 30 strategic accounts in the market. 3. Hire the founding country team responsible for sales and implementations. 4. Define event priorities and where to invest for brand awareness. 5. Represent ElevenLabs in events and media appearances. 6. Work with the partner ecosystem to generate new collaborations and sales opportunities, in partnership with the global BD team. 7. Ideate, own and drive big bets in the country. Requirements 1. 15+ years of experience leading teams and highly complex projects. 2. Background in consulting and sales. 3. Deep expertise in deploying technical products and/or solutions to enterprises. 4. Owner mentality. Hands-on and self-starter who is keen to get their hands dirty to pro
Partner Solutions Architect, AI Partnerships
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team As a member of the Partner Solutions Architecture (PSA) team, you'll be responsible for providing technical guidance to Stripe’s partners. Our goal is to drive growth through co-solutioning, education and enablement with our partner organisation. The right candidate will be a critical technical liaison to the Stripe Partner Development Manager. This will involve creating comprehensive technical business plans for partners, including identifying, incubating and bringing to market service/solution offerings built on or with Stripe. A Partner Solution Architect is someone who is intellectually curious, motivated to win, open, and entrepreneurial. What you’ll do As a member of the team, PSAs build highly consultative trusted relationships with executives and technical decision makers in the customers' organisation to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges. We architect business models with them so they drive new monetization opportunities and growth. Responsibilities - Work with key AI partners to build out their Stripe capabilities and solutions to grow their business and drive non-linear growth - Develop and execute enablement plans - Be at the forefront of technical discussions & solution deep dives with partners on the value Stripe provides to their clients - Engage with CTOs, engineering and other technical leads at key partners to share technology roadmaps, demonstrate the latest innovations, and define a solution strategy to expand the partnership revenue - Communicate success internally through QBRs, etc - Provide oversight, guidance, and assistance during the partners' sales process to ensure mutual success in joint opportunities - Educate the Stripe sales team on key partner solutions and capabilities - Collaborate on technical content (sample code, demos, etc.) to show partners how to implement specific use cases or best practices Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 8+ years of experience in a similar customer-facing engineering role such as solution consultant, solutions architect, sales engineer, for a global software enterprise - Experience co-selling and co-solutioning with go-to-market partners - Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels - Effective group-facilitation skills and co
Data Scientist, Core Infrastructure
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms. Projects include, but are not limited to: - Developing models to predict resource needs as Stripe demand increases; - Working closely with engineers to improve the cost and performance of platforms and services; - Employing quantitative methods to drive and automate fleet decisions. You will act as a key strategic data partner to the Core Infrastructure organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe can continue to scale with efficiency and dependability as our business rapidly grows. What you'll do As a Data Scientist, your role will involve: - Analyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning. - Developing models and strategies for efficient compute resource consumption and provisioning. - Collaborating with engineers, engineering leadership, and finance teams to ensure Stripe makes the right, data-driven, infrastructure decisions. - Providing actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability. - Utilizing your analytical expertise to influence both technical and financial strategies within Stripe. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Location Requirement - Seattle, WA or San Francisco, CA (Hybrid: 50% in office) Minimum requirements - PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience. - 3-8+ years of experience with a focus on infrastructure, cloud environments, and resource utilization/allocation. - Proficiency in SQL and a computing language such as Python or R. - Experience in analyzing logs/telemetry, scheduling optimization, or cloud infrastructure engineering. - Ability to effectively work both independently and with cross-disciplinary teams, including engineering and finance, to deliver impactful results. - A demonstrated ability to manage and deliver on multiple projects with a high attention to detail. - Solid business acumen and experience in synthesizing complex analyses into actionable recommendations. - A track record of building relationships with and influencing the decisions of senior technical leadership. - A builder's mindset with a willingness to question assumptions and conventional wisdom. Preferred qualifications <li
Senior Machine Learning Engineer, Developer Advoca...
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior ML Engineer Recommender Systems, Developer Advocacy | Sweden | Remote This is a fully remote position and we're considering candidates in Sweden. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. - Evolve the Interactive Learning Plugin's recommendation system - Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations. - You’ll own a real-time recommendation service </ul&g
General Manager - Denmark
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is an in-country role, ideally based in Copenhagen. We are looking for an experienced General Manager who has successfully built and led sales and technical teams. The GM will be responsible for the overall country strategy and deliverables, in line with the company priorities. We are looking for an execution-focused operator who can propel ElevenLabs in the country. In this role you will: 1. Develop and execute our Country strategy, including sales, customer delivery, KPI setting and hiring. 2. Design the optimal pipeline to reach our ambitious sales targets in the B2B side. In this sense, you will be expected to lead interactions with the top 30 strategic accounts in the market. 3. Hire the founding country team responsible for sales and implementations. 4. Define event priorities and where to invest for brand awareness. 5. Represent ElevenLabs in events and media appearances. 6. Work with the partner ecosystem to generate new collaborations and sales opportunities, in partnership with the global BD team. 7. Ideate, own and drive big bets in the country. Requirements 1. 15+ years of experience leading teams and highly complex projects. 2. Background in consulting and sales. 3. Deep expertise in deploying technical products and/or solutions to enterprises. 4. Owner mentality. Hands-on and self-starter who is keen to get their hands dirty to
Growth - Lifecycle Lead
About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a Lifecycle Lead to build the company-wide owned-channel capability that helps teams reach users with relevant, timely, and trustworthy experiences. This senior, hands-on leader will set the lifecycle strategy, partner with Engineering to build the orchestration and deployment platform, and establish the operating model that allows teams across the company to launch and improve evergreen programs safely at scale. You will sit at the intersection of platform, product, and campaign strategy. You will partner with Engineering, Product, Data Science, and Analytics on the underlying systems, and with Product Marketing Managers and other client teams to design journeys that help new, active, and returning users reach value and build durable habits. In this role, you will: - Partner with product to set the company-wide vision, roadmap, and operating model for lifecycle and owned-channel engagement. - Partner with Engineering, Product, Data Science, and Analytics to shape the tooling and infrastructure for identity, audiences, eligibility, consent, triggers, orchestration, decisioning, frequency, experimentation, localization, quality assurance, and observability. - Define scalable deployment workflows—including self-service and centrally supported paths, intake, templates, approvals, governance, service levels, and incident response—so teams across the company can launch safely and efficiently. - Partner with Product Marketing Managers and other client teams to translate audience, product, and business goals into evergreen journey strategies across onboarding, activation, continuation, retention, resurrection, and monetization. - Lead the design, launch, iteration, and optimization of templates and journeys across email, push, and in-product messaging, including the deep-linked landing and post-click product experiences that complete the loop. - Partner with Growth DS to build a measurement system that connects reach, eligibility, delivery, engagement, landing behavior, task completion, retained activity, and incremental value through sound experiments and holdouts. - Optimize the lifecycle portfolio—not just individual sends—by improving inventory, relevance, personalization, prioritization, and per-user frequency. - Inform our owned channel / upsell strategy–establish a high bar for deliverability, user preferences, localization, and operational quality, and trust while influencing senior stakeholders across the company. You might thrive in this role if you have: - 10+ years of experience in lifecycle, CRM, retention, growth, product marketing, or marketing technology, ideally in a global consumer or subscription business. - A track record of building and scaling lifecycle tooling or platforms with Engineering for multiple teams, products, audiences, or markets. - Strong technical and product fluency across event and identity models, data pipelines, APIs, segmentation, triggering, decisioning, experimentation, and deployment systems; coding experience is not required. - Deep campaign and journey craft, with experience designing evergreen programs that move users from message to product value and durable behavior. - Strong experimentation and measurement judgment, including incrementality, holdouts, cohort quality, retention, and lifetime value—not just delivery or click metrics. - Experience creating operating models, governance, templates, and quality standards that increase organizational velocity without creating channel chaos. - Executive-level cross-functional influence and clear communication across Engineering, Product, Data Science, Analytics, PMM, Creative, Legal, Privacy, and regional teams. - A hands-on, systems-oriented leadership style: you can set a multi-year direction, write the brief, inspect the journey, diagnose failures, and make pragmatic tradeoffs in a fast-moving environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Member of Data Staff (AI Builder)
Perplexity is AI for people who expect more. This role brings that same standard to how our data team works, with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer: the kind of person who knows which metric actually matters, can design an A/B test that answers the real question, has gone deep on a data model because something didn't add up, and has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done .
Senior Software Engineer, Machine Learning (Commun...
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. 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 and proactively work to detect, remove, and prevent problematic content and behavior. We seek to influence and shape the product roadmap and prioritization, build safety products, and measure our impact on the community of users and developers. In doing so, we help keep Roblox safe, civil, and inclusive, fostering positive relationships between people around the world. Why Text Safety? As a Senior Engineer you will play a key role in advancing large-scale AI systems that strengthen text safety and integrity. You’ll leverage cutting-edge ML models to build intelligent tools to curate high-quality training and evaluation data to train machine learning models. These systems will continuously refine and enhance model performance, enabling proactive detection and mitigation of safety risks across the platform in real time. In this role, you’ll work closely with cross-functional teams of engineers, product managers, policy experts, and safety specialists to turn complex safety challenges into scalable, impactful solutions. You’ll establish best practices and technical standards that define the next generation of safety AI, ensuring the platform remains secure, inclusive, and resilient. Your contributions will directly empower robust, AI-driven moderation and detection systems that foster a safe and positive experience for all users. You Will: - Design, build, and own critical components of the AI based text safety components, with a focus on usability, reliability, scalability, and performance. - Implement robust AI service to ensure text quality on all Roblox properties (Avatar, Game Description etc.). - Advance our AI systems infrastructure by developing s
AI Support Engineer - Singapore
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. To succeed in this position you must be fully fluent in English (spoken and written). Please note that your resume must be submitted in English , and the interview process will be conducted in English. You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Staff+ Software Engineer, Claude Science
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we’re just getting started. Much of this is being built 0→1 right now: you’ll shape both the product and the architecture in a category no one has defined yet. You'll be a technical leader who thinks holistically about the end-to-end researcher experience, partners directly with our internal research team to push model capabilities into production, and carries real ownership over what we ship next. Our north star is accelerating scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. This work supports programs like Anthropic’s AI for Science Program and our rare disease research grants . What you'll do - Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed - Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities - Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product - Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development You may be a good fit if you - Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level - Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on - Have built AI products and know what it takes to turn model capabilities into applications people actually use - Are comfortable working directly with technical domain experts and translating what you learn - Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have - Background in chemistry, biology, physics, or another science - Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks <div class="cont
Growth - Digital Marketing (Business)
About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a B2B Paid Marketing leader to own and scale global acquisition across channels, including Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. This leader will define channel strategy across self-serve and sales-assisted journeys, develop programs for distinct business segments, and own measurable impact from demand creation through customer growth. You will partner closely with Sales, GTM, product marketing, lifecycle, product, engineering, data science, finance, design, and marketing operations to connect paid campaigns to the right buying journeys. This team thrives on rapid iteration, rigorous measurement, and close feedback loops that improve lead and account quality, conversion, pipeline, and long-term customer value. In this role, you will: - Own global paid channel strategy across Paid Search, Paid Social, Programmatic, Affiliate, and other channels for B2B audiences, including planning, forecasting, budget pacing, audience design, and performance management. - Build and optimize programs across self-serve, product-led, and sales-assisted motions, adapting channel strategy to segment, use case, buyer, and funnel stage. - Partner with Sales and GTM teams to align campaigns with revenue priorities, product launches, solution plays, account segments, and regional opportunities. - Optimize full-funnel performance from demand capture and qualified leads through activation, pipeline, conversion, expansion, and long-term customer value. - Develop B2B audience, offer, and messaging strategies for decision-makers, practitioners, company sizes, industries, and use cases. - Create strong feedback loops with Sales and Marketing Operations, using lead quality, account engagement, pipeline progression, and customer insights to improve performance. - Drive experimentation and incrementality measurement, translating results into scalable playbooks across markets, segments, and sales motions. - Build AI-enabled creative, targeting, reporting, and optimization workflows that increase iteration velocity while maintaining quality and control. You might thrive in this role if you: - 8+ years of B2B growth, demand generation, or performance marketing experience, ideally in high-growth technology or subscription businesses. - 6+ years of deep, hands-on experience leading paid marketing across channels, including Paid Search, Paid Social, Programmatic, and Affiliate, at both an operational and strategic level. - A track record of launching, scaling, and optimizing B2B paid programs at significant budget levels with clear impact on qualified demand, pipeline, or revenue. - Experience marketing across self-serve, product-led, and sales-assisted journeys and adapting programs for SMB, mid-market, and enterprise segments. - Experience partnering closely with Sales, GTM, product marketing, lifecycle, and marketing operations to build integrated acquisition programs. - Strong analytical and measurement skills across experimentation, incrementality, attribution, lead and account quality, pipeline, and unit economics. - Experience working with CRM, marketing automation, intent, attribution, and BI systems to connect media signals to downstream business outcomes. - Experience scaling B2B programs internationally, including localization and alignment with regional market dynamics and sales motions. - Excellent stakeholder management and communication skills, a test-and-learn mindset, and comfort operating in fast-moving environments and adopting AI-enabled workflows. 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 Manager, Finance Systems - Treasury
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 Finance Systems team builds and owns the infrastructure that powers our financial operations and drives the initiatives that scale the Finance function as the company grows. As our financial operations grow in complexity, the team is moving beyond configuring off-the-shelf platforms and into building the production-grade financial applications that no vendor has built for us yet. You will own three things end to end: - The architecture: design the treasury technology platform and data foundation, make the sequencing and build-vs-buy calls, and get the foundation right so we don't rebuild it in two years. - The automation: turn Treasury's daily and monthly operating processes (cash positioning, cash flash reporting, forecasting, bank account management, payments) into tested, Claude-powered workflows that a lean team can run. - The ecosystem: figure out how treasury technology plugs into the broader Finance data lake, the ERP, our banks, and vendor systems, so treasury is a well-governed node in the company's data architecture and ecosystems rather than an island on its own. You will be the bridge between the Treasury business owners and Finance Systems engineering, turning operational needs into a clear plan and driving it through to production. This is a foundational leadership role with significant ownership over architecture, vendor, and tooling decisions. You will shape how Anthropic sees and forecasts its cash, with room to grow the team and your scope as the function matures. In this role you will: Architect the platform - Define the target-state architecture for treasury technology: the data foundation, the applications that sit on top of it, and how they connect - Design the treasury data foundation (models, tables, pipelines, governance) as the single source of truth for banking, cash, payments, and investment data - Lead the treasury management system build-vs-buy evaluation and own the resulting path - vendor selection and implementation, or the internal build - Sequence the multi-year roadmap so foundational work lands before the capabilities that depend on it, with minimal throwaway work Automate key treasury processes - Own the product roadmap for daily cash positioning, cash and liquidity forecasting, cash flash and leadership reporting, bank account management, treasury intake, and payment workflows - Design and ship Claude-powered agents and dashboards that automate manual, error-prone treasury work, so a lean team can operate at scale - Partner with Treasury operators to turn their processes into clear product specs, success criteria, and delivery plans, then drive them through to production - Ensure everything we ship is auditable, controlled, and recoverable, with the rigor that SOX compliance demands as scope grows into controlled processes
Account Executive - Nordics - Mid-Market
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We’re looking for a highly motivated, dynamic Account Executive who has demonstrable experience developing new territories , landing beach head customers and building a community. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will: - Build 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 and 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. - Spot trends , and have the flexibility to deploy your learnings into sales plays you drive across the market. Requirements: - 4-6 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms - Experience selling technical solutions to product, engineeri
Technical Program Manager, GTM Systems
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role GTM Systems builds and operates the platform Anthropic's sales and partner teams run on: Salesforce as the core, plus the lead, marketplace, integration, and AI tooling that connect to it. The team is organized into experience pods, each owning one stage of the seller and partner journey. We're hiring a Technical Program Manager to own program delivery for the GTM systems portfolio. You'll drive roadmap execution, manage the dependencies spanning the seller and partner journey, from lead capture and routing through the core selling motion to marketplace and co-sell tooling, Responsibilities - Own delivery for your program area's roadmap: intake, prioritization, sequencing, status, and the operating cadence - Manage your program's dependencies on the shared GTM platform - Partner with Business Systems Analysts on requirements and design, and with developers on technical tradeoffs, build-vs-buy calls, and vendor evaluation - Help build the operating model for a team that's scaling: intake, planning, and sequencing practices that hold up as the portfolio grows - Give GTM Systems and Sales leadership a clear view of your program's commitments, risks, and progress - Help bring Claude into the GTM workflow where it makes sellers and partner managers faster You may be a good fit if you - Have 6+ years of technical program management or business systems delivery experience, with a track record of owning a roadmap end to end - Have worked in or close to a Salesforce-centric GTM or RevOps systems org and understand how lead, opportunity, partner, and quote objects connect - Have managed delivery where multiple teams ship into one core system on a shared release process - Have partnered with audit, controls, or compliance functions on revenue-impacting systems work - Can build trust with business systems analysts, developers, sales operations, and finance, and translate between them - Are comfortable driving outcomes across teams that don't report to you - Are genuinely curious about how AI changes GTM operations and willing to experiment Strong candidates may also have - Experience with one or more of: lead routing and scoring platforms, marketplace and co-sell tooling, CPQ, partner relationship management - Background in RevOps, sales systems product management, or business systems analysis - Experience standing up release management or CI/CD for a Salesforce org - Familiarity with SOX ITGC or revenue controls Deadline to Apply: None. Applications are reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commi
Senior Systems Engineer, AI Gateway
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX or San Francisco, CA About the Role AI inference is becoming core infrastructure. Every serious application will need access to many models, across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare’s bet that this layer should exist at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. We are looking for a Senior Systems Engineer to help build that layer. This is a deeply hands-on individual contributor role for someone who can move from a half-formed product idea to a working, production-ready system quickly. You will work across the stack — from distributed systems and high-throughput APIs to developer-facing workflows, dashboards, SDKs, and docs — helping define how developers build and operate AI applications on Cloudflare. You should be excited by the current pace of the AI ecosystem. Provider APIs change weekly, new models appear constantly, and developer expectations are rising just as quickly. AI Gateway needs engineers who can build durable infrastructure in that environment without slowing down. We also believe AI should change how we build software, not just what we build. We dogfood AI Gateway, Workers AI, and Cloudflare’s broader agent stack heavily. You should be comfortable using AI-native tools, agents, harnesses, and automation to improve your own engineering loop — and interested in building the internal tools and context that help a small team ship like a much larger one. Responsibilities - Build core AI Gateway systems that handle high-volume inference traffic across providers, models, and Cloudflare’s global network. - Design and implement APIs, routing primitives, observability features, controls, and developer workflows that make AI Gateway reliable and easy to adopt. - Work across product and infrastructure boundaries with Workers AI, Agents, and the broader Developer
Senior Machine Learning Engineer, Developer Advoca...
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior ML Engineer Recommender Systems, Developer Advocacy | Spain | Remote This is a fully remote position and we're considering candidates in Spain. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. - Evolve the Interactive Learning Plugin's recommendation system - Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations. - You’ll own a real-time recommendation service
Director, CMC Regulatory Affairs
Your work will change lives. Including your own. The Impact You’ll Make - Lead development and implementation of CMC regulatory strategy for small molecule investigational drugs in global Phase 1-3 clinical trials and marketing applications. - Influence the regulatory strategy of Recursion’s development programs by attending team meetings, providing drug substance or drug product recommendations for US, EU and Rest of World (ROW) regulatory requirements/guidance interpretation, and best practices for CMC submissions and meetings. - Strategize , plan, write, manage internal and external contributors and review region specific investigational stage CMC summary submission documents (Module 2, Module 3, IMPD, etc.) and agency requests. - Deliver high quality regulatory US, EU and ROW submissions, strategy and advice. - Support review of investigational product labels, protocols, investigator’s brochure, and other clinical trial materials; GMP inspections as needed. - Assess and identify on an ongoing basis, risk mitigation plans based on current and changing US and Ex-US GMP regulations and guidance. The Team You’ll Join As Director CMC Regulatory Affairs, you will be an essential member of the Recursion Development Team, reporting to the Vice President of Regulatory Affairs. The Development Team is an empowered, execution-minded group of development, manufacturing and clinical development professionals responsible for translating Recursion’s innovative science to patients through clinical and business development activities. The Experience You’ll Need - Deep technical knowledge of small molecule drug development - BA/BS, MS or PhD in relevant technical discipline; RAC certification preferred, 8+ years’ experience in CMC regulatory (both drug product and drug substance). - Extensive command of worldwide CMC regulatory standards and directives for facilitating clinical research, securing international trial approvals, and life-cycle management - Understanding of US and ex-US regulations, providing strategic advice, and supporting cross functional teams in navigating regulatory requirements and implementing change. US, EU and other Ex- US experience is required. - Assess and manage risks for drug development in all regions as applicable - Demonstration of cross-functional understanding and technical team support related to CMC aspects of drug development. - Managing multiple projects and priorities - Demonstrated track record of authoring and producing high quality INDs, IND amendments, NDAs, meeting packages and achieving timelines. US, EU and other Ex-US submission experience is required. - Excellent verbal and written communication skills Working Location & Compensation: This role is remote-friendly, with most work conducted from home. There may be occasional opportunities or expectations for travel to our Salt Lake City headquarters or other office locations. At Recursion, we believe that every
Senior Software Engineer, Backend - Platform (Core...
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 . As a Senior Software Engineer on the Platform Core Automation team, you'll build the AI infrastructure and agentic systems that automate customer support and compliance operations at Coinbase. This team is reimagining what these processes look like when AI handles them end-to-end, replacing manual workflows with intelligent agents that resolve customer issues and execute compliance tasks autonomously. You'll own the design and delivery of LLM-powered systems, grounding techniques, and integration pipelines that directly reduce resolution times, cut costs, and improve accuracy across millions of customer interactions. What you’ll be doing (ie. job duties): - Own the design and delivery of agentic AI systems that power Coinbase's customer support and compliance automation, from LLM orchestration through production deployment and monitoring. - Build scalable, secure backend infrastructure in Python and Golang that serves AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks. - Drive end-to-end project execution on complex AI initiatives, making technical trade-offs across latency, accuracy, cost, and reliability. - Partner with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities and translate operational pain points into AI-powered solutions. - Strengthen engineering quality across the team by leading code reviews, mentoring engineers on AI system design patterns, and contributing to on-call rotations and incident response. What we look for in you (ie. job requirements): - 5+ years of experience in software engineering, with proven expertise in designing, building, and maintaining production services using a microservices architecture. - Hands-on experience building LLM-based applications or AI/ML systems in production, including prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks. - Proficiency in Python and Golang (or comparable backend languages), with experience integrating third-party AI models and APIs into production workflows. - Track record of delivering end-to-end projects with measurable business impact in ambiguous problem spaces. - Experience building data pipelines, integrating with external vendors, or working with large-scale unstructured data sources (e.g., blockchain data, customer interaction logs). - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Nice to haves: - Experience navigating rapid company grow
Senior Machine Learning Engineer, Developer Advoca...
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior ML Engineer Recommender Systems, Developer Advocacy | UK | Remote This is a fully remote position and we're considering candidates in the UK. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. - Evolve the Interactive Learning Plugin's recommendation system - Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations. - You’ll own a real-time recommendation service &
Growth - Digital Marketing (Consumer)
About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a Consumer Paid Marketing leader to own and scale global acquisition across channels, including Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. This leader will define channel strategy, oversee execution at significant scale, and grow a broad consumer product across diverse audiences, use cases, and international markets. You will partner closely with product, engineering, data science, finance, design, brand, creative, lifecycle, and regional marketing to connect paid experiences to in-product journeys. This team combines rapid iteration, rigorous measurement, consumer insight, and culturally relevant creative to drive acquisition, activation, retention, and long-term user value worldwide. In this role, you will: - Own global paid channel strategy across Paid Search, Paid Social, Programmatic, Affiliate, and other channels for a scaled consumer product, including planning, forecasting, budget pacing, audience strategy, and performance management. - Manage significant investment across a broad international portfolio, balancing global consistency with market-level opportunity, platform dynamics, and cultural nuance. - Optimize the full consumer journey from acquisition through activation, engagement, retention, and monetization, with a focus on durable unit economics and cohort quality. - Develop audience, use-case, offer, and creative strategies that reach diverse consumer segments and translate across languages, cultures, and stages of product maturity. - Partner with regional marketing and localization teams to prioritize markets, adapt campaigns, and build repeatable international launch and scaling playbooks. - Drive experimentation and incrementality measurement, defining hypotheses, designing tests, and translating consumer and market insights into channel decisions. - Partner cross-functionally with product, engineering, data science, lifecycle, brand, and creative to improve conversion journeys, measurement foundations, and growth systems. - Build AI-enabled creative, targeting, reporting, and optimization workflows that increase iteration velocity and personalization while maintaining quality and brand integrity. You might thrive in this role if you have: - 8+ years of consumer growth, acquisition, or performance marketing experience, ideally for a scaled global technology, marketplace, subscription, or mobile product. - 6+ years of deep, hands-on experience leading paid marketing across channels, including Paid Search, Paid Social, Programmatic, and Affiliate, at both an operational and strategic level. - A track record of scaling consumer paid programs at significant budget and audience levels while delivering measurable acquisition and long-term value outcomes. - Substantial experience leading international consumer marketing across multiple regions, languages, and levels of market maturity. - Strong understanding of consumer behavior, segmentation, creative strategy, localization, and the relationship between paid media and the end-to-end product experience. - Strong analytical and measurement skills, including experimentation, incrementality, attribution, cohort quality, retention, monetization, and LTV/CAC. - Experience partnering with product, engineering, data science, lifecycle, brand, creative, finance, and regional teams to build durable growth systems. - Demonstrated ability to balance global scale with local relevance, including adapting audiences, messaging, creative, and channel mix to market-specific needs. - Excellent stakeholder management and communication skills, a test-and-learn mindset, and comfort operating in fast-moving environments and adopting AI-enabled workflows. 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.
Staff+ Software Engineer, Enterprise AI Products
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 Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries.
Program Manager, Talent Acquisition
Perplexity is scaling at a pace few companies ever experience, and talent is the surface where our biggest bets get won or lost. We're hiring a Program Manager to sit at the center of that motion, owning the mission-critical, cross-functional programs that shape how we plan, prioritize, and hire. This is a uniquely visible seat, reserved for operators who thrive in ambiguity and have a track record of driving companywide initiatives to measurable outcomes. You'll work shoulder-to-shoulder with recruiting leadership, executives, and cross-functional partners to architect the systems, operating rhythms, and decision-making frameworks that let the company move faster and with more clarity. When a complex, high-stakes program needs an owner, you're the person leadership turns to. What You'll Do - Own Perplexity's most consequential talent programs end-to-end, from ambiguous mandate to shipped outcome - Partner directly with executives and recruiting leadership to turn strategy into programs with clear owners, milestones, and accountability - Drive cross-functional initiatives across Recruiting, People, Finance, and business leadership, aligning stakeholders and clearing blockers before they escalate - Design the operating cadence of the org: planning cycles, prioritization, reporting rhythms, and executive updates that keep leadership decisive - Build the systems, tooling, and workflows that let recruiting scale, automating the repetitive so human judgment goes to the highest-leverage work - Stand up the metrics and dashboards that turn hiring data into faster, sharper decisions - Anticipate risk on the highest-visibility programs, communicate crisply under pressure, and drive to resolution when priorities shift - Set the bar for program excellence and codify repeatable playbooks the rest of the company can adopt What You Bring - 7+ years of program or project management experience, including ownership of companywide, mission-critical initiatives - Direct experience partnering with and presenting to executives on high-stakes, cross-functional work - Track record of driving ambiguous programs to measurable outcomes in fast-paced, rapidly scaling environments - Operational rigor. You build order out of chaos and design systems that outlast you - Strong analytical instincts, with the ability to structure messy data into clear direction for leadership - Sharp communication and stakeholder judgment, with the discretion to operate on sensitive, high-visibility work - A builder's mindset and a bias for action, aligned with Perplexity's ethos of building what hasn't been built before - Recruiting, talent, or People-org program experience is a plus, but we're optimizing for the best operators first
GTM Enablement - Global Lead
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role As ElevenLabs continues to scale its global enterprise GTM motion, we're looking for a builder to define what world-class enablement looks like at that scale. You'll own the strategy behind how we turn every rep - AE, AM, and SDR, in every region - into a top performer: where we invest enablement time for maximum leverage, when and how we verticalize training by segment and geography, and which metrics prove the work is paying off in pipeline, revenue, and behavior change. You'll lead a global enablement function spanning onboarding, technical and product enablement, and outbound enablement - setting the strategic direction and measurement framework that enablement function leads build and deliver against. You'll operate with full AI fluency, building automations applied directly to enablement workstreams and embedding AI fluency into the seller curriculum. This is a new role focused on taking our enablement function to its next phase of growth. You'll design the systems, standards, and operating rhythm for enablement as we expand into new regions and segments. You'll partner cross-functionally - especially with the product marketing team that owns customer-facing assets - while you own everything that makes our sellers great internally: training, certification, and enablement infrastructure. Requirements - 8+ years enablement leadership experien
Staff Software Engineer, Claude Design
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 At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Claude Design is the newest product from Anthropic Labs, the internal accelerator behind Claude Code and MCP. It lets anyone collaborate with Claude to create polished visual work: interactive prototypes, product mockups, slides, one-pagers, and marketing collateral. Start from a prompt, an image, or your own codebase, and Claude builds a first version that you refine through conversation, inline comments, direct edits, and live adjustment controls, then hand off to Claude Code to build for real. We launched in research preview in April 2026, and the product is new enough that the engineers who join now will define what it becomes. We're looking for Software Engineers to help build and shape Claude Design. This is a craft-heavy, frontend-leaning role: you'll create the canvas, real-time editing, design-system inference, and AI-driven generation experiences that make AI-generated design feel like a tool people reach for first– not a demo. You'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, partnering directly with researchers and users, and helping to generate the crucial insights that shape where the product goes next. Responsibilities - Build and ship Claude Design's core surfaces (the design canvas, real-time editing, inline comments, and the live adjustment controls Claude generates), shipping early and often to maximize learning - Collaborate closely with research teams to turn frontier vision and generation capabilities into intuitive, high-craft design experiences - Work directly with designers, internal test users, and external partners to gather feedback, iterate quickly, and validate (or invalidate) product concepts - Set technical direction for the hardest frontend problems: editor and canvas architecture, real-time collaboration, design-system inference, rich import/export, and performance as the product scales - Design and run experiments to test product hypotheses, from prototype tests with users to evaluations of generation quality, balancing creative exploration with rigorous measurement - Own the quality bar for how the product looks and feels, treating latency, responsiveness, and reliability as first-class concerns rather than afterthoughts, and advocate for user experience and design considerations early in the process - Strengthen the handoff to Claude Code so designs translate cleanly into production, and feed insights back to research about model effectiveness and where capabilities can improve - Operate as a technical leader on a small team: shape the roadmap alongside design and product, make pragmatic architecture decisions, and mentor engineers
Senior Executive Assistant to CEO
Your work will change lives. Including your own. The Impact You’ll Make As the Executive Assistant to the CEO, you will support a visionary leader driving innovation to get better drugs to patients faster. You will partner with a small team in the office of the CEO to enable the CEO to operate at maximum effectiveness by managing priorities, streamlining operations, and anticipating needs across our fast-paced ecosystem. Your work will directly influence the CEO’s ability to focus on the company’s mission of decoding biology to industrialize drug discovery. You’ll play a critical role connecting teams, partners, and external stakeholders — ensuring seamless execution across initiatives in the U.S., UK, and Canada. This is a highly impactful position for an experienced professional who thrives on complexity, precision, and making order out of chaos — ideally someone who values both strategic alignment and the joy of working alongside a team (and a really cute dog!). In this role you will: - Manage all aspects of the CEO’s complex and ever-changing calendar, travel, and communications with discretion and foresight. - Anticipate scheduling conflicts, track key deliverables, and proactively adjust plans in alignment with the CEO’s goals. - Serve as the primary point of contact for internal and external stakeholders, demonstrating sound judgment and professionalism at all times. - Plan and coordinate internal and external meetings, ensuring high-caliber materials and logistics. - Arrange detailed domestic and international travel itineraries. - Partner with internal teams to coordinate board meetings, offsites, investor events, and company gatherings. - Maintain confidentiality while ensuring clear and timely information sharing between the CEO, leadership team, and external partners. The Team You’ll Join You will be joining the executive support team at Recursion, working with the CEO and C-level executives across the company. You will partner closely with other teams including Office of the CEO, People, Finance, Workplace Environment, Communications and Investor Relations. The executive support team is responsible for enabling our senior leadership team members to do their best work and focus on company objectives and priorities, unlocking greater success for Recursion as a whole. You will report to the Chief People Officer, while directly supporting the CEO. The Experience You’ll Need - At least 7 years of experience as an Executive Assistant supporting C-suite executives, ideally in a public company or high-growth organization. - Passion for science, innovation, and improving human health — with an appreciation for the fast-moving world of biotechnology. - Ability to think ahead, anticipate needs, and propose thoughtful solutions — not just execute tasks. - Honed organizational skills, written and verbal communication abilities, and a track record of managing competing priorities gracefully. - Flexibility to adapt to changing needs in real time, ability to prioritize work and
Head of Government Cyber Integration, OpenAI for G...
About the Team OpenAI's mission is to ensure that artificial intelligence benefits all of humanity. OpenAI for Government works with U.S. and allied government institutions to support the responsible adoption of AI across defense, intelligence, federal civilian, state and local, and international public-sector missions. We work at the intersection of technology, policy, operations, security, and delivery to help public servants use frontier AI in ways that are effective, trusted, aligned with democratic values, and grounded in real-world consequences. The team helps government agencies transform how they work through secure, compliant AI tools and mission-aligned deployments, including ChatGPT Enterprise, ChatGPT Gov, APIs, Codex, and emerging frontier capabilities. We partner with government leaders, operators, technologists, and policy stakeholders to translate cutting-edge AI into measurable mission impact while meeting government requirements for safety, reliability, security, compliance, and trust. Cyber is a critical government mission area. OpenAI's government cyber work brings together OpenAI for Government, Product, Research, Security, Product Policy, Legal, Global Affairs, and Communications to help trusted public-sector defenders responsibly use AI to protect government networks, critical infrastructure, and national-security systems. About the Role We are seeking a senior government cyber leader to serve as Head of Government Cyber Integration for OpenAI for Government. This role will integrate OpenAI's government cyber work across strategy, testing and evaluation, trusted access, deployment, policy, security, and external engagement. This is a matrix leadership role, not a replacement for line management. Product teams still own product roadmaps. Research and Safety still own model capability measurement and risk mitigation. Security still owns OpenAI's security posture and customer security requirements. Product Policy, Legal, and Global Affairs still own policy, legal, and government-affairs judgments. OpenAI for Government owns government delivery. The Head of Government Cyber Integration owns coherence across the government cyber mission: maintaining the full sight picture, clarifying ownership, convening the right cross-functional group, translating government requirements into action, and escalating decisions that cut across functions. The role should make OpenAI more legible, credible, and useful to government cyber-defense stakeholders. The Head of Government Cyber Integration will provide senior support and strategic guidance to OpenAI's government cyber testing and evaluation work, help drive OpenAI for Government's cyber strategy, advise on trusted-defender workflows and access programs, and ensure that product, research, security, policy, and deployment decisions are informed by real government cyber missions. In this role, you will: - Lead government cyber integration for OpenAI for Government, creating one shared operating picture across trusted-defender access, government cyber evaluations, priority customers, model and product readiness, deployment constraints, policy decisions, and communications moments. - Provide strategic advice and support to OpenAI's government cyber testing and evaluation, including sensitive engagements with NSA, CISA, CYBERCOM/CNMF, CAISI/AISI, allied government cyber agencies, and trusted external evaluators. - Advise OpenAI for Government on cyber strategy, priority agencies and missions, government trusted access expansion for cyber models, classified and accredited deployment considerations, senior cyber stakeholder engagement, and how to sequence government cyber opportunities. - Translate government cyber requirements into clear product, research, security, and deployment asks, working closely with Product/Codex Cyber, Research/Safety, Security, Public Sector Security, and deployment teams. - Chair a regular government cyber cross-functional team that keeps owners aligned, resolves ambiguity, identifies gaps, and forces unresolved tradeoffs into writing before they become blockers. - Maintain a living inventory of government cyber programs, open questions, owners, dependencies, advisors, candidates, customer commitments, and decisions needed. - Partner with Product Policy, Legal, Global Affairs, and Safety on defensive-use boundaries, government cyber authorities, access governance, ZDR/Eyes-Off tradeoffs, customer attestations, internal governance escalations, and responsible-access framing. - Translate cyber evaluation findings into concrete recommendations for government deployment, access, safeguards, safety-stack expectations, security controls, monitoring, escalation, and external engagement. - Represent OpenAI credibly with senior government, allied, and cyber-defense stakeholders, translating between technical evidence, operational cyber needs, policy implications, and deployment decisions. - Help identify, recruit, and onboard government cyber talent, advisors, evaluators, and partners who strengthen OpenAI's ability to support trusted public-sector defenders. You might thrive in this role if you: - Have held senior cybersecurity, cyber operations, intelligence, or national-security leadership roles and are trusted by government, industry, and technical cyber communities. - Bring deep credibility with NSA, CISA, CYBERCOM/CNMF, CAISI/AISI, allied cyber agencies, and public/private cyber-defense partners. - Understand how government cyber missions, authorities, procurement paths, accreditation requirements, and operational constraints differ from ordinary commercial cybersecurity motions. - Can move fluidly between cyber operations, defensive workflows, frontier AI capability, evaluations, product strategy, security controls, policy constraints, and executive decision-making. - Are comfortable advising without owning every reporting line, and can create alignment across teams with different incentives, vocabularies, and risk tolerances. - Can distinguish evaluation signal from noise, explain uncertainty clearly, and turn ambiguous technical findings into decisions about government deployment, access, safeguards, and external engagement. - Think clearly about the defensive/offensive cyber boundary and understand why real national-security cyber missions often require practical judgment rather than simplistic categories. - Have the executive presence to be OpenAI for Government's senior cyber voice externally while maintaining enough technical curiosity and humility to stay grounded in the work of product, research, security, and safety 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.
Senior Software Engineer, Data Platform
Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: - Drive the design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. - Collaborating with cross-functional teams to define, design, and deliver new features. - Proactively identifying opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. - Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies. Ideally you’d have: - 5+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. - Experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.). - Show a track record of mentoring and leading teams in successful projects. - Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. - Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings. - Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems. Nice to haves: - Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI). - Experience scaling products at hyper-growth startups. - Excitement to work with AI technologies. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. Thi
Member of Technical Staff (Software Engineer, Ente...
Perplexity is seeking creative, AI native engineers to join our Enterprise Adoption team. Our company is reshaping the way people interact with AI agents within organizations. The Enterprise Adoption team's mandate is to continually uplevel the way our company and our customers use Perplexity Computer as the instrument of that transformation to deliver new ways of working in the agentic future. Just as Perplexity is heralding an agentic future for the internet, you will ensure that the company makes our AI tools and agents a perfect fit for our growing Enterprise business. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Some of your users will be our own teams, from recruiting and go-to-market to finance, legal, support, and operations, and you will engineer the core systems that make Computer an indispensable multiplier of their craft. Learnings from our internal teams will also be applied for our enterprise customers, bringing frontier AI working patterns to external organizations. WHAT YOU’LL DO - Identify, prioritize, and execute on the highest-potential opportunities to make Computer transformative for every team at Perplexity, building the core systems that bring those opportunities within reach. - Develop empathy for the nuances of our technical and business teams' work across disciplines and verticals (recruiting, sales, finance, support, legal, and operations), toward collaborating with them to harness AI in new ways. - Make our knowledge stores, systems, and human-orchestrated processes legible to Computer, engineering the connectors, skills, and evaluation infrastructure that unlock each team's use cases at scale. - Close the loop between internal usage and the Computer product itself, translating the friction and triumphs of real work into core product and platform improvements. - Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn any process need into simple, reliable product experiences in Computer. QUALIFICATIONS - 4+ years of professional software engineering experience. Familiarity with building platforms for enterprise or internal users is a plus. - Daily use of AI models/tools, with strong knowledge on the latest frontier. - Proficiency with Python, along with experience and/or TypeScript, Go, and other languages. - Strong understanding of the work of non-technical staff across enterprises, along with a curiosity about the work of business and operations teams, who will be your users. - Broad working knowledge of the modern AI agent stack (agents, connectors, context engineering, and evals), along with strong intuition for where today's agents shine and where they fall down. (For example: you don't need to have authored an MCP server, but you should know what MCP is and when/where/why it's used.) - Strong product judgement, you can make decisions that will simplify the agent user experience for customers with a range of technical abilities.
Growth - Digital Marketing (Enterprise)
About the Team The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments as well as other OpenAI products worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering. About the Role We are hiring a B2B Enterprise Paid Marketing leader to build and scale global demand generation across channels, including Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. This leader will define channel strategy for complex enterprise buying journeys, connect paid media to account-based marketing (ABM) programs, and own performance from target-account engagement through pipeline and revenue. You will partner closely with Sales, GTM, field marketing, product marketing, marketing operations, data science, finance, design, and product to translate enterprise priorities into coordinated campaigns. This team combines rigorous measurement with close sales alignment, rapid experimentation, and a deep understanding of buying committees, long sales cycles, and regional enterprise needs. In this role, you will: - Own global paid channel strategy across Paid Search, Paid Social, Programmatic, Affiliate, and other channels for enterprise audiences, including planning, forecasting, budget pacing, audience design, and performance management. - Build and scale ABM programs across priority accounts and segments, coordinating paid media with sales outreach, field marketing, executive engagement, events, and lifecycle programs. - Partner with Sales and GTM leadership to align investment with account priorities, territories, pipeline goals, and product or solution plays. - Optimize performance across the enterprise funnel, from account engagement and qualified demand through opportunities, pipeline, and revenue, with clear attribution and incrementality frameworks. - Develop audience and messaging strategies for buying committees, industries, company sizes, use cases, and stages of the enterprise purchase journey. - Create a closed-loop operating rhythm with Sales and Marketing Operations that turns account-level signals, pipeline quality, and win/loss feedback into channel decisions. - Design experiments and scalable playbooks across markets while accounting for regional sales motions, localization needs, privacy constraints, and platform nuances. - Build AI-enabled creative, targeting, reporting, and optimization workflows that increase speed and personalization while maintaining quality and control. You might thrive in this role if you have: - 10+ years of B2B growth, demand generation, or performance marketing experience, including meaningful ownership of enterprise programs. - 6+ years of deep, hands-on experience leading paid marketing across channels, including Paid Search, Paid Social, Programmatic, and Affiliate, at both an operational and strategic level. - A strong track record building and scaling enterprise ABM programs that generate measurable account engagement, qualified pipeline, and revenue. - Experience partnering closely with Sales, GTM, field marketing, product marketing, and marketing operations to plan and execute integrated campaigns. - Deep understanding of complex B2B buying journeys, buying committees, long sales cycles, account segmentation, and sales-assisted conversion. - Experience connecting media and account signals across CRM, marketing automation, intent, attribution, and BI systems to guide investment decisions. - Strong analytical and experimentation skills, including incrementality, attribution tradeoffs, pipeline measurement, and translating analysis into action. - Experience scaling enterprise marketing across international markets with thoughtful localization and alignment to regional sales motions. - Excellent stakeholder management and communication skills, a test-and-learn mindset, and comfort operating in fast-moving environments and adopting AI-enabled workflows. 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.
Executive Assistant
Scale AI is seeking a highly skilled Executive Assistant based in Washington, DC to support the General Manager and VP of Engineering of Public Sector in their day to day role, plus ad-hoc support to the Public Sector LT team. This role is crucial in ensuring smooth operations and effective communication both internally and externally. This person will quickly learn each executive's working style and preferences, act autonomously or with little direction, and respond quickly when priorities change. What You’ll Do - Manage complex calendars and schedules for the team, including coordinating meetings, track travel and manage requests, and prioritizing commitments with team members - Book travel including flights, accommodation and transportation - Manage bookings for client meals, events, and similar requests - Act as a primary point of contact for internal and external stakeholders, including clients, partners, and government ministries - Building strong relationships with key EAs and Chiefs of Staff of priority customers - Handle high-level administrative tasks such as email management, expenses, document preparation and team administration - Coordinate and plan internal team events, off-site meetings, and company initiatives - Manage any high priority / VIP meetings, guest visits, etc. - Plan and run team social events, keeping the events varied and within set budgets - Manage confidential information with utmost discretion and professionalism Qualifications - 5+ years of experience as an executive assistant in a fast-paced environment, preferably in the tech or AI industry - Exceptional organizational and time-management skills - Strong communication skills, both written and spoken - Proficiency in office productivity tools and ability to learn new software quickly - Experience in building and managing relationships with high-level external stakeholders, including government officials - Ability to work flexibly and adapt to changing priorities with multiple stakeholders involved Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this
Technical Program Manager, Public Sector (Columbia...
Scale's Public Sector customer base is growing rapidly, and you will ensure that these customers become passionate, lifelong Scale partners. As a member of our Public Sector Delivery team, you are a catalyst, willing to go deep, get technical, and drive change. You are the ultimate hands-on leader, triaging customer issues and support, using data and analytics to align internal resources around Scale’s hardest problems, and driving the creation of tools that add direct value to Scale’s Public Sector customers. All of this serves an ultimate goal of delivering outsized value in supporting our Public Sector customer’s AI/ML objectives. Your natural inclination is to dive into both technology and organizational processes to craft effective solutions and gain efficiencies. You are biased towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver on customer objectives. You have a track record of driving technical projects to completion, and stewarding lasting organizational change. And you are naturally empathetic, have high EQ, and excel at building long-term relationships through diligent problem solving, domain competence, and thoughtful, strategic discussions You will: - Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers - Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions - Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space - Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous - Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains - Lead a cross-functional team to exceed the customer’s AI/ML objectives - Manage the long-term health of the customer base by identifying and preempting areas of risk or concern - Strategically identify ways we can make customer success repeatable and solve issues for future customers - Address engineering problems alongside the product development teams Must Haves: - An active TS/SCI clearance with a Full Scope Polygraph - 3+ years of experience succeeding in stakeholder management or customer-facing role - A technical background (education or professional experience with CS, Economics, Statistics, Engineering) - A deep understanding of ML operations process - A track record of structured, analytics-driven problem-solving - Excellent verbal and written communication skills - Ability to be forward deployed and willingness to travel at least 25% of the time (50% travel is a nice to have) We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government. - Prior experience at an API technology company and / or managing technical customers using an API - Proficiency in Python, SQL or other programming languages <div
Evals Infrastructure Tech Lead / 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 Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence.
Commercial Account Executive (German Speaker)
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 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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. 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. About the role: Location: Hiring in London,UK We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions. This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you. WHAT YOU’LL DO: - Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through - Build relationships with prospects and customers, understanding their needs and how our products can help - Prospect strategically into SMB, mid-market, and small-enterprise accounts How to be successful in this role: - 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred) - 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts - Strong track record of sourcing, qualifying, and closing outbound deals - Execution mindset: you excel in fast-paced environments and move with urgency - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft. - Self-starter and resourceful; you find ways to solve problems and move things forward -
Engagement Manager, Public Sector
Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments. You will: - Manage customer relationships from the executive to the end user - Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine - Lead or support a cross-functional project team to deliver on and exceed the customer's AI/ML objectives - Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success - Oversee onboarding and successful implementation of customer accounts We have a diverse team with a variety of skill sets, many have: - A technical background (education or professional experience with computer science, economics, statistics, engineering) - A proven track record in B2B client-facing roles and expanding client relationships - Prior experience owning the technical implementation of solutions to the government Must haves: - An active TS/SCI clearance (Full Scope Polygraph is a nice to have) - 3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions - A track record of structured, analytics-driven problem solving - Excellent verbal and written communication skills - Ability to be forward deployed and willingness to travel 25% (50% travel is a nice to have) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location o
Product Manager, Agent Development (Spanish speaki...
ABOUT US At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Build enterprise-grade AI agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the product roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU'LL BRING - 3-5+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Professional fluency in both Spanish and English. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Enterprise Account Executive (Federal)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangChain Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. We partner closely with government program managers, technical leads, and system integrators across the full lifecycle, from pre-award shaping and evaluations through post-deployment expansion. We are building the federal go-to-market motion from the ground up, and every team member has a direct hand in shaping how LangChain is adopted across the federal landscape. ABOUT THE ROLE We're looking for a Federal Enterprise Account Executive to join our growing GTM team and lead LangChain's expansion into U.S. federal agencies. In this role, you'll own the full sales cycle — helping technical teams at DoD, Civilian, and IC agencies discover, evaluate, and adopt LangChain's products. This is a high-impact, high-visibility role where you'll collaborate closely with engineering, product, solutions engineering, and professional services to shape how AI agent infrastructure gets adopted across government. If you're a relationship-driven seller who understands the federal landscape and wants to be part of building a go-to-market motion from the ground up, we'd love to hear from you. WHAT YOU'LL DO - Own and manage the full federal sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to federal prospects and customers — including DoD, Civilian Agencies, and IC — learning their mission requirements and demonstrating how LangChain's products solve real problems - Drive proof-of-concept efforts, working with solutions engineers and product experts to demonstrate tangible value in government environments - Navigate federal procurement mechanisms — GWACs, IDIQs, OTAs, BPAs, and direct agency contracts — to close complex, multi-stakeholder deals with speed and precision - Build and maintain trusted relationships with senior agency decision-makers, program managers, and contracting officers, as well as system integrator partners (e.g., Booz Allen, SAIC, Leidos) and resellers (e.g., Carahsoft) who help drive and support deal flow - Stay on top of the federal AI landscape — agency priorities, executive orders, budget cycles, and competitor activity — to educate customers and shape LangChain's federal strategy - Build long-term customer relationships and support post-sale success in partnership with our Deployed Engineering and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring federal cust
Sales Development Representative (German Speaker)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast. Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences. LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more. About the role: We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects. You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI. What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator. What you will do: - Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value. - Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience. - Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development. - Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency. - Use LangChain powered agents to test, learn, and improve prospecting strategies. How to be successful in this role: - 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career). - Clear, confident communicator who can engage both technical and business audiences. - Motivated by learning, iteration, and experimentation you treat outreach like a craft. - Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way. - Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate. - Positive, persistent, and highly organized you follow up, follow through,
Deployed Engineer (Raleigh)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability
Deployed Engineer (Denver)
ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires up to 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI ag
Deal Desk Manager, EMEA
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon About the Deal Desk Team: The Deal Desk team is a critical component of the Finance function, acting as a strategic partner to the global Sales organization. We are responsible for partnering with sales to structure, negotiate, and close complex deals. We ensure that deals meet the requirements of "good business" while also keeping our customers' best interest in mind. We are committed to building a data-centric and AI-augmented Deal Desk that leverages predictive analytics and automated workflows to optimize pricing in real-time and automate routine approvals, allowing for deeper strategic focus. Role Summary: As a Deal Desk Manager, you will be the architect of our AI-driven deal desk, transitioning our sales process from manual workflows to an intelligent, automated engine that spans from initial scoping to final execution. By leveraging agentic workflows and automated data layers, the focus shifts to high-judgment architecture for non-standard enterprise deals. The objective is to serve as a high-influence "Sales Co-pilot," using AI-driven insights to maximize deal velocity and Long-Term Value (LTV) while relentlessly reducing friction through iterative process automation. What you’ll do: - Orchestrate Strategic Deal Architecture: Lead the structuring and execution of non-standard, high-value enterprise deals, providing high-judgment guidance that balances competitive differentiation with long-term business health. - Sales Co-pilot & Strategic Influence: Serve as a strategic partner to Sales leadership, utilizing AI-driven data to maximize deal velocity, improve LTV, and ensure discovery reflects true customer needs. Perform analysis on pricing and deal terms, leveraging AI insights to recommend "next best action" for deal structuring and margin optimization. - Curate and Tune AI Agents: Manage the enterprise deal approval ecosystem by tuning automated agents and models to ensure compliance and accuracy at scale. - Drive Process Iteration: Partner with cross-functional teams (Legal, Finance, Product) to build, streamline, and automate deal desk processes, architecting autonomous approval workflows and focusing on reducing field friction through relentless automation. - Champion AI & Automation Integration: Champion the integration of LLMs and generative AI tools to automate deal desk workflows, significantly reducing deal cycle times. Identify bottlenecks and implement AI-powered productivity solutions. Required Skills & Experience: - 6-8+ years of Deal Desk, FP&A, Revenue Operations, or similar experience, with a proven track record of supporting large-scale enterprise sales motions; 3+ years of deal desk experience preferred. - Financial & Sales Acumen: Solid understanding of SaaS metrics, pricing models, and financial concepts like ARR, Gross Margin, churn, and profitability. Experience with revenue recognition principles (e.g., ASC 606) is highly desirable. Experience selling software is a bonus. - Contract & Pricing Knowledge: Experience drafting and interpreting commercial contracts, with a focus on terms that impact revenue recognition and financial risk. Ability to analyze and recommend the best course of action for complex pricing and licensing situations. - Data & AI Literacy: Proficiency in leveraging agentic workflows and prompt engineering to scale influence, extract insights from large datasets, and automate repetitive operational tasks and internal documentation. - Algorithmic Thinking: The ability to understand and audit automated pricing models to ensure alignment with long-term company goals. - Strategic Influence: Demonstrated ability to navigate complex, cross-functional negotiations and make high-judgment decisions in fast-paced environments. - Process Design Mindset: A relentless focus on iterative automation and the ability to translate complex business policies into streamlined, automated logic. - Communication Excellence: Exceptional written and oral communication skills, capable of explaining complex deal structures and financial data to both technical and executive stakeholders. Nice-to-Have Skills: - Experience in software sales or sales operations, providing a "boots on the ground" perspective of the sales cycle. - Deep knowledge of Cloud/SaaS infrastructure and the global cybersecurity competitive landscape. If you're excited by fast-paced innovation, dedicated to driving global growth, and want to help build a better internet, we'd love to hear from you. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
[C] Data Engineer, Safeguards
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Data Engineer on the Safeguards team, you will build the data foundations that keep our AI systems safe. The Safeguards team works to monitor models, prevent misuse, and ensure user well-being — and doing that well requires robust, reliable data infrastructure. In this role, you will design and build the pipelines, warehousing solutions, and analytical tooling that power our safety and trust efforts at scale. You'll work closely with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and make informed decisions about model behavior and enforcement. This is a high-impact role where your work directly supports Anthropic's mission to develop AI that is safe and beneficial. Key responsibilities - Design, build, and maintain scalable data pipelines that support safety monitoring, abuse detection, and enforcement workflows - Develop and optimize data models and warehousing solutions to enable efficient analysis of large-scale usage and safety data - Build and maintain dashboards and reporting infrastructure that give Safeguards teams visibility into model behavior, misuse patterns, and enforcement outcomes - Collaborate with engineers to integrate data from multiple sources — including model outputs, user reports, and automated classifiers — into a unified analytical layer - Implement data quality frameworks, monitoring, and alerting to ensure the reliability of safety-critical data - Partner with research teams to surface data insights that inform model improvements and safety interventions - Develop self-service data tooling that enables stakeholders to explore safety data and generate reports independently - Contribute to data governance practices, including access controls, retention policies, and privacy-compliant data handling Minimum qualifications - Proficiency in SQL and Python, with hands-on experience building and maintaining ETL/ELT pipelines - Experience with cloud data platforms such as BigQuery, Redshift, Snowflake, or similar - Experience with modern data stack tools such as dbt, Airflow, Spark, or similar orchestration and transformation frameworks - Experience building dashboards and data visualizations using tools such as Looker, Tableau, or Metabase - Ability to communicate clearly and translate complex data concepts for both technical and non-technical audiences Preferred qualifications - 8+ years of experience in data engineering, analytics engineering, or a related role - Comfort contributing across the stack and picking up work outside your immediate scope when the situation calls for it - Background in trust and safety, integrity, fraud, or abuse detection data systems - Experience with large-scale event streaming systems such as Kafka, Pub/Sub, or Kinesis<
Head of Engagement Management
As Head of Engagement Management, you will own account management and growth strategy for one or several of Scale’s most strategic GenAI customers, working across GTM, ML, finance, and Delivery Operations teams to develop sustainably successful growth plans. You'll operate at the center of the relationship — serving as the senior, operationally grounded thought partner to some of the world's leading AI research teams and the internal owner of how Scale grows with them. You will manage a team of Engagement Managers aligned to the account, overseeing their work across project oversight, tracking, escalation, and customer relationship management. You’ll also be responsible for identifying and developing new demand generation opportunities in partnership with other teams at Scale. You'll build deep relationships with our most important customer contacts, including ML researchers, navigate challenging conversations with confidence rooted in operational knowledge, and earn new work by driving exceptional customer outcomes. Your team won't run data pipelines directly — instead you will own the customer relationship end to end, translate complex research needs into human data programs, partner closely with the operations, engineering, and ML teams who execute them, and think strategically about how to sustainably grow the account. The ideal candidate pairs a technical foundation with proven judgment in high-stakes, client-facing settings, and brings a track record of building and leading strong teams. What you’ll do: - Lead and develop a team of Engagement Managers covering Scale's most strategic GenAI lab accounts — hiring, coaching, setting goals, managing performance, and resource planning and allocation across accounts as priorities shift. - Own account growth strategy for your customer(s), with full accountability for retention, expansion, and commercial development against revenue and growth targets. - Build and maintain deep, trust-based relationships with frontier AI lab researchers and operations leads, serving as a thought partner across the project lifecycle from ideation to execution. - Identify and develop new demand generation opportunities in partnership with GTM, and coordinate and track GTM activities across teams at Scale. - Partner across GTM, ML, Finance, and Delivery Operations to build sustainable, well-resourced account coverage plans and resolve cross-functional tradeoffs. Hold internal teams accountable to customer quality and throughput expectations. - Set the standard for how your team translates sometimes ambiguous research needs into well-defined human-data programs. - Build the processes and best practices that evolve the Engagement Management function as Scale's GenAI business and customer set grow. What we’re looking for: - 6+ years in a technical product/program management, customer success, and/or consulting role, including significant customer ownership in B2B environments. - Demonstrated ownership of account growth — building new relationships and expanding existing accounts against commercial targets. - 2+ years managing a team, with a track record of hiring, developing, and retaining strong performers. - A technical foundation (academic or professional exposure to CS, Engineering, Economics, Statistics, or another STEM field) and a deep understanding of the ML training lifecycle. - Hands-on experience working with data or AI/ML models through engineering, research, a technical product role, or engagement management itself8. - An action-oriented mindset that bal
Product Manager, Research (Code)
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 Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new models and products as we advance frontier, safe AI technology.
Protection Scientist Engineer, Integrity
About the Team The Integrity team is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. We protect users and the wider world by developing responses to complex harms and building the harm protections needed for new product and model launches. Integrity’s work spans not only across frontier harms like biological weapons and cybersecurity, but also high severity abuses such as child safety, nation-state misuse, and violence. About the Role Protection Scientists within Integrity design, orchestrate, and mature systems of defence against usage harms enabled by OpenAI's products. We are systems thinkers that combine deep harm domain expertise with breadth across investigation, data science, machine learning, policy and operations. Our distinctive strength is understanding how these disciplines fit together and translating between them to design and build effective systems of defence. Your core hands-on technical responsibility is harm detection. You will design, build, evaluate and maintain production detection systems, drawing on investigative expertise, data and shared engineering platforms. You will develop signals, classifiers and detection systems, and improve their ability to identify harmful activity accurately as products and behaviour evolve. You will also own the strategy and cross-functional delivery of protection work for a harm area or product launch. Working closely with investigators and other domain experts, you will ground the design in a deep understanding of how the harm occurs and translate that understanding into a system of defence. You will connect detection with policy, review, interventions, enforcement and measurement, continually calibrating the system against real cases and expert judgement as it scales. You will identify what needs to be built or changed and make it happen. Success requires setting clear priorities, aligning partners, resolving dependencies and communicating evidence, decisions and trade-offs crisply. It also requires a willingness to jump in and work directly on whatever is blocking system effectiveness, using your breadth of skills. This role is based in our SF, NYC, or London offices and includes participation in an on-call rotation that may involve resolving urgent escalations outside normal working hours. Some investigations may involve sensitive content, including sexual, violent or otherwise disturbing material. In this role, you will: - Define and drive protection strategy for a harm area or launch. Translate ambiguous risks into goals, priorities and roadmaps, and make trade-offs based on evidence, risk and available capacity. - Directly build and maintain harm detection. Develop production signals, classifiers and pipelines using SQL, Python, machine learning and language models, integrating with shared engineering platforms. - Lead cross-functional execution. Translate between specialist roles, establish shared understanding and ownership, resolve technical and organisational dependencies, and communicate recommendations and specific asks clearly. - Investigate emerging harms and abuse patterns. Work with world class domain experts to distinguish harmful activity from legitimate use, develop detection criteria, and inform policies and review protocols with Policy and Operations partners. - Evaluate and improve the complete system of defence. Measure remaining harm, detection quality and intervention effectiveness and collaborate with Data Science on more sophisticated metrics. Use expert feedback and operational outcomes to guide improvements. - Protect product and model launches. Define data, detection and review requirements; establish monitoring; investigate gaps and critical escalations; and drive improvements informed by post-launch findings. - Scale effective approaches with language models, agents and reusable tools. Choose where automation and human judgement are needed, and build documentation and processes that improve reliability and help others extend the work. You might thrive in this role if you: - Think in systems. You have enough breadth across technical, analytical, investigative and operational disciplines to understand how they fit together, recognise gaps and translate between specialist perspectives. - Bring deep expertise in at least one relevant harm domain, developed through integrity, trust and safety, security, investigations or related work. You approach unfamiliar problems with curiosity and respect for expert knowledge and you are driven by reducing harm. - Are proficient in SQL and Python and have experience writing reliable and efficient production code for detection and data processing. Additional ML or SWE experience is a plus. - Can apply quantitative analysis and machine-learning methods to measure risks and evaluate system effectiveness. You understand the limitations of your data and can reason about missed harms, false positives and appropriate interventions. Additional DS/measurement background is a plus. - Have experience setting strategy and delivering complex, cross-functional technical projects. You can turn an ambiguous problem into a plan, align people with different priorities and drive work through to completion. - Communicate clearly and concisely in writing and conversation. You can explain technical findings, make actionable recommendations and surface uncertainty and trade-offs to different audiences. - Can use language models and other automation to scale analytical, investigative or operational work, with evaluation and human oversight appropriate to the problem. 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.
Strategist, Agent Development - Financial Services
ABOUT US At Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, Paris, Madrid, Munich, Singapore, Tokyo, and Sydney. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE FINANCIAL SERVICES TEAM - Our financial services customers span systemically important banks, neobanks committed to building more delightful banking software (1 in 3 of the world's leading banks use Sierra!), insurers that provide protection for life’s most challenging moments, vertically integrated ecosystems like Rocket Companies, and more. The decisions we make impact millions of end customers and billions of dollars in economic activity. - Our financial services team partners closely with these organizations to set their AI strategies and build modern tools that carefully handle moments when a person’s private anxiety meets an institution’s procedural muscle - the instant before a family learns whether they are pre-approved for a mortgage; the claustrophobic half hour after someone notices a fraudulent charge; the frustrating experience of losing a card and needing to order a new one. - Sierra’s Financial Services team is transforming the customer experience and building technology that makes the industry more accessible, human, and affordable for everyone. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer’s thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it’s the best version of itself in the real world. You’ll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers’ executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer’s working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU’LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. - Genuine interest in Financial Services and improving the end customer experience. Experience in financial technology, implementations at financial institutions, working inside of these institutions or familiarity with financial services security and compliance requirements (fair lending, PII handling, etc.) are a strong plus. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time
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