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Senior AI Engineer
Scopely is looking for a talented Senior AI Engineer to join Forge , our Creative Technology & AI team within Flamed, in our Barcelona office on a hybrid basis. At Scopely, we care deeply about what we do and want to inspire play, every day—whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers developing, publishing, and innovating the mobile games industry, connecting millions of people around the world every day. We are the in-house creative agency, Flamed, an International multidisciplinary team. We build thousands of creatives every year to support all Scopely games Marketing needs worldwide. What You'll Do Forge is shaping the future of creative production. We combine AI, engineering, automation, and creative technology to build the platforms, products, and workflows that empower every creative team to move faster, experiment more, and scale creativity across Scopely. As a Senior AI Engineer , you'll play a key role in building those capabilities. You'll own the end-to-end delivery of AI-powered products and services, working closely with engineers, creative technologists, designers, producers, and artists to turn ambitious ideas into production-ready solutions that have a measurable impact across multiple game teams. - Own AI products and services throughout their full lifecycle, from discovery and implementation to deployment, monitoring and continuous improvement. - Build production-ready AI applications leveraging LLMs, agents, automation frameworks and modern cloud technologies. - Prototype rapidly to validate ideas with users, then evolve successful experiments into scalable, maintainable solutions. - Partner closely with Creative, Production and Engineering teams to understand workflows and translate them into practical AI solutions. - Drive technical decisions within the team's architecture and engineering standards. - Participate in design reviews, helping shape technical decisions through thoughtful proposals and engineering trade-offs. - Ensure solutions are reliable, observable, secure and maintainable by following best practices around testing, versioning, permissions and monitoring. - Contribute to a collaborative engineering culture by sharing knowledge, improving standards and helping evolve the team's technical practices. What We're Looking For - 7+ years of software engineering experience delivering production systems. - Strong hands-on engineering skills with experience shipping products end-to-end. - Experience building AI-powered applications using LLMs, AI agents, orchestration frameworks or automation platforms. - Strong understanding of software architecture, APIs, cloud services and modern development practices. - Comfortable moving quickly through ambiguity while maintaining a high engineering bar. - Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams. - Pragmatic mindset focused on solving real user problems and delivering business impact. - Passion for applying AI to improve workflows, creativity and operational efficiency. Nice to Have - Experience building int
Product Manager, AI Platform
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma, we're building tools that help teams design, build, and ship better products together. Figma Make enables teams to go from prompt to production code, and the Figma agent is a purpose-built design agent that edits files directly on the Figma canvas. We're looking for deeply technical Product Managers to own the AI Platform that powers Make and the agent: the distributed developer systems behind Figma Make, the agent infrastructure that integrates frontier models and MCP servers, the eval platform that drives continuous quality across our AI suite, and the context platform that personalizes AI outputs to customers' design systems. These roles sit at the intersection of product and infrastructure. If you're excited about developer tooling, systems thinking, and building the foundations that other product teams ship on top of, this role is for you. These are full time roles that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: You’ll define and drive the platform strategy for one or more areas of the AI platform: the big bets, build-vs-buy calls, and how to sequence it all. Those areas: - Search & context: how Figma leverages context from inside and outside our platform while retaining the trust of enterprise customers - Integrations platform: how external AI agents (Claude, ChatGPT, Cursor, etc.) access Figma context using our MCP Server & REST APIs, how and when Figma’s AI products appear in other surfaces (Slack, Microsoft Teams, etc.) As you drive platform strategy, you’ll: - Influence product roadmaps where platform capabilities create new product opportunities. - Partner with EM and tech leads to make key architecture and UX decisions. - Talk frequently with product teams , customers, and our partners & vendors, and distill learnings from those conversations into platform commitments. - Raise the bar for technical PMs at Figma: pattern-match across the four areas, surface cross-cutting problems, and pull peers and EMs into the calls that need them. We'd love to hear from you if you have: - 8-10 years of product management experience working on highly technical products - Proven experience shipping developer tools, infrastructure products, or AI-powered technical systems - Experience working on AI agent systems, code generation tools, or programmable interfaces - Hands-on technical fluency: you've built and shipped things yourself — at work, in side projects, or in open source — and you can read a PR, you can participate actively in architecture conversations - Strong systems thinking: you understand how complex components interact and can improve the whole, not just the parts - A track record of driving strategy and execution across ambiguous, fast-moving product areas - You distill highly technical concepts into clear deci
Senior IT Systems Engineer
At Perplexity, we're changing how the world finds answers. In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and behind all of that sits the technology infrastructure that keeps a fast-moving company running. We're looking for an IT Systems Engineer who wants to do more than keep the lights on. This is an early, high-impact role where you'll build the systems and automations that let our team move even faster. You won't just respond to tickets. You'll figure out how to make them disappear. We give our IT team the same AI tools we build for everyone else, and we expect you to use them. This role is based in-person at our San Francisco office. WHAT YOU’LL DO: - Use Perplexity's own Computer product to build AI automations, custom skills, and IT workflows that take repetitive work off your plate - Work with agentic IT ticketing, building workflows that resolve common requests automatically - Help stand up new office buildouts as we grow - Procure, maintain, and administer computers along with office and audio/video technology - Manage and optimize corporate software systems - Own and improve our Mobile Device Management (MDM) setup - Roll out and enforce strong security policies - Automate the provisioning and management of user accounts and permissions - Deliver fast, effective support and untangle the hard problems - Lead IT projects across endpoint management, security, and infrastructure - Train and support staff on IT systems, in person and remotely QUALIFICATIONS: - 5+ years of hands-on IT systems engineering experience - Strong skills in macOS and Google Workspace - Sharp troubleshooting instincts across MDM, Okta, and networking - Hands-on expertise administering and automating Okta, including HRIS integrations and end‑to‑end user lifecycle automation using Okta Workflows; scripting experience with Bash or Python is highly preferred - A solid grasp of cybersecurity fundamentals, including IAM, least privilege, encryption, and antivirus - Experience running a ticketing system, including ITIL Problem Management and SLAs - A track record of leading IT projects from upgrade to rollout with minimum supervision - Clear communication and a genuine interest in automating away busywork
Applied AI Architect, Digital Natives (Strategics)
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Applied AI Engineer, Cyber
About the team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our San Francisco HQ. We offer relocation support to new employees. In this role, you will: - Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners. - Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases. - Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools. - Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points. - Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects. - Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value, risk, and practical next steps. - Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. - Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows. You'll thrive in this role if you: - Have 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience. - Bring strong cybersecurity domain expertise across one or more areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture. - Can communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners. - Have hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. - Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review. - Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates. - Have evidence-first security judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating model or security claims. - Own problems end-to-end, operate with high throughput across multiple concurrent customer projects, and know when to stay hands-on versus create reusable leverage for the broader field. - Have a humble attitude, an eagerness to help colleagues, and a desire to do whatever it takes to make the team and our customers successful. 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.
Engagement Manager (Germany), Public Sector
Scale AI is at the forefront of the AI revolution, helping the U.S. government and allied partners 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 who is eager to travel regularly to Europe and ultimately relocate to Germany to be onsite with customers. As an EM on our public sector delivery team, you will 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, 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 - Be forward deployed in Germany with customers to scope agentic workflow use cases that Scale’s engineering team will build and refine - Lead 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 Must haves: - An active TS/SCI clearance - 5+ 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 - A basic understanding of GenAI/ML - Excellent verbal and written communication skills - Willingness to initially travel 50% of the time to Germany and ultimately relocate there 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. - 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 - Domain expertise in a relevant field (e.g. modeling and simulation, joint planning, intelligence workflows) 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 developm
Product Operations Manager, Claude.ai (Consumer &...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Claude.ai is Anthropic's most visible product surface, and how well our models perform there shapes how tens of millions of people experience Claude. We're hiring a Product Operations Manager to embed within the Claude.ai product team. The right candidate will help program manage model performance, launch readiness, and the general operating model on the Claude.ai and Growth product team. You'll balance hands-on execution with the systems that let the team ship new models and new features with confidence. You won't write evals yourself, but you'll make sure eval coverage exists, burn down lists get completed, and issues get resolved before they become surprises. You'll also run the team's core operating rhythms and invest in our feedback-loop systems connecting consumer users to what the product team does next. You'll shape how Product Operations works with within Claude.ai from the ground up. Responsibilities: - Operationalize model performance: prompting-update tracking, issue prioritization, and go/no-go decision making in tight collaboration with Research, Product, and Engineering - Own Launch Readiness for Claude.ai: launch checklists, coordination with XFN Teams, and observability into status and roadmap - Run team operations for Claude.ai & Growth - Invest in feedback-loop systems: intake, triage, synthesis for consumer users - Coordinate across functions without formal authority You may be a good fit if you have: - Have 5+ years of experience in product operations, program management, or launch readiness roles at fast-paced tech companies. - Have operationalized model performance before, ideally at an application-layer AI product company, without necessarily writing evals yourself - Have built or fixed an operational process end-to-end, not just executed someone else's plan - Thrive in ambiguity, this role is still being defined - Bring real cross-functional influence - Have built a feedback or issue-triage system from scratch Bonus: - Large-scale consumer product experience - Startup 0-to-1 background - EAP or beta program experience The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $260,000 USD Logistics Minimum education: Bachelor’s degree or an
Director, Regulatory Affairs
Your work will change lives. Including your own. The Impact You’ll Make Recursion is at the forefront of reimagining drug discovery and development through broadening the funnel of potential targets, using technology and standardization to build connected data, and superlinearly scaling our efforts to accelerate the delivery of high-potential drug candidates to the clinic. We are seeking a Director of Regulatory Affairs who will play a critical role in supporting global regulatory strategy, overseeing processes, and identifying and managing regulatory risks for the assigned programs. Collaborate with cross-functional leads to support the development of regulatory strategies and implementation for all jurisdictions as applicable to the program. Plan and perform critical reviews of documents for consistency and quality, and identify gaps in critical documentation in alignment with the regulatory strategy with the intention of achieving successful registration and lifecycle management of unique products. In this role, you will: - Build intra- and inter-team relationships and collaborate in a global team environment at all levels of the organization to ensure management of regulatory strategy and activities in all applicable regulatory jurisdiction (e.g. EU, US, UK) for the global development of products through all stages of development and post approval. Participate in global product team meetings; provide regulatory support and guidance and manage day-to-day regulatory activities - Manage complex issues and coordinate multiple projects simultaneously in a time-sensitive fashion while practicing sound judgment as it relates to risk assessment (immediate and long term impact on program) - Create and follow procedures for regulatory execution and implementation of regulatory strategies while actively supporting program leads via the Clinical Study Teams (CSTs) to deliver on business objectives for assigned products/programs (e.g. clinical trial applications, marketing authorization applications, orphan drug designation applications, pediatric submissions, etc.). Create, collaborate and comply with disclosure and transparency policies for applicable jurisdictions - Collaborate with strategic operations and other functions (e.g. Clinical, Commercial, Medical Affairs, amongst others) to provide regional regulatory insight for futuristic planning and considerations for the program - Serve , as needed, as the point of contact with relevant Health Authorities and/or lead interactions with such authorities or other relevant external stakeholders - Review and interpret regulatory guidelines and create a communication plan to distribute relevant impact assessment. Creatively think outside the box on how to influence and shape the future of regulatory sciences as it relates to use and validation of unprecedented use of technology to develop drugs effectively for faster paths to patients. - Learn : Keep current with regulations and guidance documents; attend meetings, seminars, conferences on relevant topics; read journals, newsletters, scientific papers; research the answers to RA questions. Represent regulatory function and demonstrate respectful behavior, leadership, ethics and transparency The Team Yo
Revenue Partnerships - ANZ
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 a highly motivated, self-starter first Revenue Partnerships hire based in the Australia who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology and solutions. In this role you will: - Actively seek out, identify, qualify, and build a sales pipeline through partnerships with Global/Regional System Integrators, Cloud Providers, Value-Added Resellers (VARs), consulting firms and Technology Partners. - Collaborate with our Enterprise Sales team to close deals and consistently exceed monthly, quarterly, and yearly sales targets. - Establish and nurture strong partnerships that drive business growth and create new opportunities. - Serve as the primary point of contact for all partner-related initiatives within the Regional Sales team. - Oversee partner relationships at the regional level while maintaining alignment with global strategies. REQUIREMENTS - At least 7 years of quota-carrying experience in a fast-paced, competitive sales environment, focusing on new business development. - A minimum of 4 years of experience managing sales pipelines and closing deals through partnerships with Global and Regional System
Deployment Strategist Lead - Australia
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 a Deployment Strategist Lead, you'll be fully responsible for opening up a new market for ElevenLabs, and building a team to make it happen. This is a senior position in which you’ll operate as if a co-founder, working alongside an experienced sales leader, of an effective startup moving from 0 -> 1 within our broader org, aiming to deploy our voice AI technology at the most strategic customers in the market against their most challenging problems. All the while you’ll be able to leverage support from the rest of ElevenLabs to accelerate. You will be responsible for hiring the team you need, winning the first customers in the market and ensuring that our product generates impact for them. No two days are the same, but you should expect to: - Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points. - Build and lead a team of forward deployed engineers within the region. - Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions. - Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations. - Guide customers on best practices for implementing our voice and audio AI models to maximis
Head of ANZ, Applied AI
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the founding leader of Applied AI Solutions Architecture in ANZ, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Australian and New Zealand enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You'll be responsible for building and leading the ANZ Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across Australia and New Zealand. In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ANZ incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities - Build and manage the foundational team of Applied AI professionals in ANZ (Solutions Architects and Product Engineers) providing both technical guidance and career development - Set goals and reviews for your team, promoting growth and output - Work with a handful of highest-value enterprise customers across Australia and New Zealand on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution - Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ANZ enterprise customers - Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ANZ market - Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products - Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes - Travel regularly to customer sites across Australia and New Zealand for executive-level sessions, technical workshops, and buil
Tech Lead, Deployment & Operations — Custom Infras...
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Technical Lead to lead deployment and operations for OpenAI’s Silicon & Systems team. This person will become the Directly-Responsible Individual responsible for bringing OpenAI’s custom silicon and associated systems into data center environments, ensuring successful deployment, bring-up, validation, operational readiness, and ongoing reliability at scale. This role sits at the intersection of silicon, systems, infrastructure, data center operations, and software. You will lead a team focused on taking new hardware platforms from lab validation into production data center deployment. You will be responsible for building the operational processes, technical workflows, tooling, and cross-functional alignment required to deploy and operate custom AI hardware reliably in OpenAI’s supercomputing infrastructure. The ideal candidate is both a strong leader and a deeply technical operator. You should be comfortable staying close to the technical details of hardware bring-up, fleet deployment, debugging, system validation, data center integration, and production operations. This role requires strong execution, excellent cross-functional judgment, and the ability to drive clarity in ambiguous, fast-moving environments. In this role, you will: - Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments - Own the path from hardware bring-up and validation through production deployment, operational readiness, and sustained fleet support - Partner closely with silicon, systems, software, infrastructure, networking, data center, supply chain, and external partner teams to ensure successful deployment at scale - Define deployment processes, operational playbooks, technical readiness criteria, escalation paths, and reliability practices for new hardware platforms - Drive cross-functional execution across lab bring-up, rack/system integration, data center deployment, fleet monitoring, debugging, and issue resolution - Stay hands-on technically through architecture reviews, deployment planning, failure analysis, operational debugging, and critical system-level decision-making - Identify gaps in tooling, observability, automation, validation coverage, and operational processes, and build plans to close them - Establish clear metrics for deployment readiness, reliability, performance, maintainability, and operational health - Build a strong engineering culture grounded in ownership, technical rigor, operational excellence, and high-velocity execution - Ensure OpenAI’s custom hardware platforms can be deployed and operated reliably, repeatably, and safely at scale - Be a contributor and technical driver for the architecture and design of future ML systems You might thrive in this role if you: - Enjoy mentoring and developing engineers while staying deeply engaged in technical execution - Are excited by the challenge of bringing new custom hardware platforms into real-world production data center environments - Can operate across silicon, systems, software, infrastructure, and data center operations - Are comfortable leading through ambiguity, especially when the hardware, tooling, and operational model are still being built - Have strong judgment around deployment sequencing, technical risk, operational readiness, and when to escalate - Communicate clearly across technical and operational teams, and can align stakeholders through complex deployment and production issues - Care deeply about building practical systems, tools, and processes that work reliably at scale - Have a bias toward ownership and are comfortable jumping into urgent technical issues when needed Qualifications - 8+ years of engineering experience in hardware systems, infrastructure, data center deployment, production operations, systems engineering, silicon bring-up, or related technical domains - Strong technical depth in one or more of: hardware deployment, data center operations, rack-scale systems, silicon bring-up, systems validation, fleet operations, reliability engineering, infrastructure automation, or hardware/software integration - Experience bringing complex hardware systems from development or validation into production environments - Experience working closely with silicon, systems, software, infrastructure, networking, or data center teams - Experience with deployment planning, operational readiness, incident response, debugging, and root-cause analysis for production systems - Experience building tooling, automation, observability, or operational processes that improve deployment quality and fleet reliability - Demonstrated ability to hire, develop, and lead senior technical talent - Ability to move fluidly between people leadership, technical strategy, and hands-on operational problem solving - Strong written and verbal communication skills, especially in high-urgency, cross-functional technical environments - Experience working in fast-moving environments To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. Compensation Range: $342K - $445K USD 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.
Vice President, Head of Strategy & Operations
Your work will change lives. Including your own. The Impact You'll Make Recursion is reimagining drug discovery through the integration of automated cell biology, high-dimensional data, and AI-driven analytics. As Head of Strategy & Operations, you will be our CEO's closest strategic partner — a trusted right hand who combines the analytical rigor of a top-tier management consultant with the operational instincts of a seasoned biopharma executive. This is a rare role: you will shape where Recursion is going (corporate strategy, competitive positioning, board and investor narrative) while ensuring the company's leadership engine runs with precision (executive decision-making, cross-functional alignment, regulatory filings, and governance). You will serve as a force multiplier for our CEO, translating ambition into executable strategy and holding the organization accountable to its commitments. The ideal candidate brings principal- or partner-level consulting experience, deep biopharma strategy expertise, and a genuine appreciation for how AI platforms are transforming drug discovery. You are as comfortable shaping a board deck as you are redesigning an operating rhythm — and you thrive at the intersection of science, technology, and enterprise leadership. What You'll Do Corporate Strategy & Competitive Intelligence - Own corporate strategy in partnership with our CEO - translating vision into annual priorities, resource allocation, and multi-year roadmaps. - Monitor the external landscape (competitive dynamics, scientific advances, regulatory shifts, AI-in-biotech) and synthesize implications for leadership. - Define and communicate Recursion's platform differentiation to support investor, partner, and board narratives. - Evaluate BD opportunities - partnerships, licensing, acquisitions, and platform expansions - with rigorous analytical framing. Executive Operations & Decision-Making - Design and manage the executive operating rhythm: leadership meetings, offsites, decision forums, and escalation frameworks. - Partner with our CEO on agendas, briefing materials, and cross-functional follow-through. - Build dashboards and frameworks that give leadership real-time visibility into performance, program progress, and strategic KPIs. - Identify organizational gaps and implement scalable solutions; act as CEO proxy in cross-functional forums. Board, Investor & External Communications - Lead board materials - strategic updates, financial reviews, program readouts, and governance docs. - Support earnings communications, SEC filings, and investor presentations in partnership with Finance, Legal, and IR. - Ensure narrative consistency and strategic alignment across all high-stakes external communications. Cross-Functional Leadership & Alignment - Bridge Platform, Discovery, Clinical, Commercial, Finance, and People teams to maintain strategic coherence. - Partner with Director of Strategy & Operations and Portfolio Strategy to align program execution with corporate priorities. - Champion clarity, accou
Senior / Principal Infrastructure Engineer - ML Pl...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. ML Platform @ Roblox today supports hundreds of ML use cases and billions of inferences per day across Discovery, Safety, Engine, and much more. As an Infrastructure Engineer on the ML Platform team, you will design, scale, and maintain the foundational infrastructure powering our entire machine learning ecosystem. We are looking for accomplished engineers to spearhead the development of our next-generation ML tooling and platform capabilities. You will: - Bootstrap and maintain Kubernetes and Cloud infrastructure for ML Platform components--Serving Layer, Metadata Store, Model Registry, and Pipeline Orchestrator. - Set technical strategy and oversee development of high scale and reliable infrastructure systems. - Propose and implement new platform tooling to improve time to production for MLEs and Data Scientists across the full ML lifecycle. - Work on infrastructure projects such as GPU fleet management, hybrid-cloud orchestration, and writing custom Kubernetes controllers and resources. - Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices. - Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use. You have: - 6+ years of professional experience and a tool chest of system design experience upon which to draw to build scalable, reliable platforms. - Deep experience with Kubernetes (K8s) and cluster management at scale — e.g., managing 100s–1000s of nodes, serving 100k+ QPS, and ideally having experience writing custom Kubernetes controllers. - Strong proficiency in Infrastructure as Code (IaC), specifically using Terraform to bootstrap, manage, and automate cloud infrastructure across AWS, GCP, or similar environments. - Bachelor's degree in Computer Science, Computer Engineering, Data Science, or a similar technical field or equivalent practical experience. You are: - Proficient in DevOps tooling such as Docker, Kubernetes, CI/CD systems, and bootstrapping cloud infrastructure (AWS, GCP, etc.) - Experienced with the end-to-end ML model lifecycle such as model serving, training, model CI/CD, and GPU resources management, and have built ML platform features that are delightful to use. - An automation advocate: you're passionate about infrastructure-
Product Manager, API Agents
About the Team: The OpenAI API team builds the foundation that enables every developer to harness OpenAI’s models safely, reliably, and at scale. Our mission is to make it effortless for any developer to build transformative products with OpenAI’s models. We’re responsible for the infrastructure and product layers that allow millions of developers to integrate our models, fine-tune behavior, manage data, and deliver experiences to their users. We collaborate deeply across product, research, and engineering teams to drive innovation at the model layer and then directly translate that into value for customers. About the Role: As the Agents Product Manager for the API team, you'll be at the forefront of defining and guiding the future of how developers build agentic applications on top of our AI models. You’ll set clear priorities and drive impactful improvements to model capabilities, balancing user needs, safety considerations, and technical innovation. This role is perfect for a proactive, technically adept PM who thrives on solving challenging, ambiguous problems through structured product thinking and close collaboration with customers, engineers, and researchers. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Deeply understand problems faced by agent builders and identify opportunities where our products and models can make building agents faster, more intuitive, more reliable, and more powerful. - Define strategic priorities and roadmap for improving agentic infrastructure for API users, focusing on user outcomes and emerging capabilities. - Partner with research and engineering teams at a technical level to translate those priorities into developer products and features (SDKs, APIs, and more). - Deliver quickly while maintaining a high bar for product quality and user experience. You might thrive in this role if you: - Have 5+ years of product management or related industry experience. - Proven track record of building for developers, with strong intuition for designing clear, flexible APIs and primitives that scale from early experimentation to production use. - Have experience collaborating directly and deeply with high-growth tech companies. - Have hands-on experience driving consensus and action in ambiguous spaces. - Excel at collaborating across diverse teams and communicating complex ideas clearly. 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 Engineering Manager, 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, US 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 obsessively agent-pilled. We don't just build the product; we build the environment that builds the product: the agents, harnesses, skills, tools, and context that let a small team ship like a much larger one. We dogfood AI Gateway, Workers AI, and the broader Cloudflare agent stack relentlessly, and we expect you to as well. Responsibilities - As the Engineering Manager for AI Gateway, you will lead a small, high-velocity team building that layer. This is a deeply hands-on role. You will be in the code, in the design docs, in customer conversations, and in the trenches with your team. We're looking for a generative builder who can move from half-formed idea to working prototype quickly, and bring a team along with that energy. We are obsessively agent-pilled. We don't just build the product; we build the environment that builds the product: the agents, harnesses, skills, tools, and context that let a small team ship like a much larger one. We dogfood AI Gateway, Workers AI, and the broader Cloudflare agent stack relentlessly, and we expect you to as well. - Set the technical and product direction for AI Gateway alongside engineers and PMs, then roll up your sleeves and help build it. - Build the software and the software that builds the software. Your team needs to build the context and toolchain that let agents help build, operate, monitor, and improve AI Gateway itself. - Inspire and energize a team shipping at the pace the AI ecosystem demands. Provider APIs change weekly, new models drop daily, and the gap between "good idea" and "in production" is measured in days, not quarters. - Obsess over deve
Member of Technical Staff - Post-Training Research
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. You will do hands-on post-training research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The work that pays off fastest is tied to production workloads -- we're already experts at training speculators for deployed models, and there are open research questions like distilling a target model from its own production traffic. There is also room to prove what the platform makes possible, where training AI scientists or kernel engineers is a natural fit given our GPU sandboxes. WHAT YOU'LL DO: - Own end-to-end post-training research bets: async and agentic RL, on-policy distillation, long-context RL, small routing models, and whatever else the research agenda calls for. - Work directly with customers alongside our Forward Deployed Engineers to train models and bring what you learn back into the research. - Carry and expand collaborations with outside research labs. For example, our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting. - Work with engineering to turn frontier post-training techniques into products: an opinionated post-training framework, distributed-training approaches (DiLoCo, evolutionary strategies), online training for deployed models, and more. - Help shape the research agenda. None of the above is prescriptive; your work will help guide our future. REQUIREMENTS: - A research-leaning background in post-training LLMs, with work you can point to. - Enough product sense to tell which frontier techniques matter to users and which stay academic. - A record of shipping research that other people build on, whether in a lab or in industry. - The drive to take a research bet from idea to result without much hand-holding, working in the open with the rest of the team. - Ability to work in-person, in our NYC or San Francisco office.
Consumer Music Marketing 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 Built on top of ElevenLabs’ cutting-edge music technology, Eleven Music empowers anyone to create, remix, and explore soundtracks from a single prompt. It’s the platform where artists, creators, and music lovers turn ideas into professional-quality songs, and release them to listeners worldwide. We’re hiring a passionate Growth Marketing individual to drive increased user acquisition, activation, retention, and monetization for Eleven Music. You’ll play a key role in developing and scaling the product’s growth in markets globally, including user acquisition, paid marketing, SEO and ASO, lifecycle marketing (email/push), internationalization, and subscription campaigns. You will work cross-functionally with Growth, Engineering, and Partnerships teams to deliver growth outcomes. As a data-driven team, you’ll develop data analyses to better inform marketing strategies, understand users, and drive lasting growth. REQUIREMENTS We're looking for an exceptional individual who combines technical excellence with ethical awareness and high organizational skills, who are excited by hard problems and motivated by human impact. You’ll thrive on our team if you: - Have experience building and scaling consumer products from the ground up. - Are a highly motivated and driven individual with a strong work ethic. - Are passionate about AI combined with consumer ap
Platform Security Engineering, Operating Systems
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for an Operating Systems Security Engineer to harden and secure the OS layer of our infrastructure. You'll be responsible for designing and implementing OS-level security controls, from kernel hardening to runtime protection, ensuring our systems can withstand sophisticated attacks while maintaining the performance required for AI model training. This is a hands-on role where you'll work with cutting-edge hardware and implement novel security solutions for environments that don't exist anywhere else in the world. You'll need to balance extreme security requirements with the operational needs of researchers training models at unprecedented scale. Key responsibilities - Design and implement hardened OS configurations for AI workloads across diverse hardware platforms - Minimize attack surfaces by removing as many unnecessary components as possible from kernelspace and userspace - Develop kernel security policies using SELinux, AppArmor, and custom Linux Security Modules and runtime enforcement mechanisms - Implement and maintain full-disk encryption solutions for diverse storage systems - Build security infrastructure for AI systems, research environments, and production services - Create OS-level attestation and integrity monitoring systems - Apply security patches, develop patches for custom kernel modules, and kernel hardening configurations - Design secure boot processes and trusted execution environments - Work with container teams to ensure proper workload isolation at the kernel level - Design privilege separation and mandatory access control policies - Implement secure update mechanisms for OS components - Build tooling for security configuration management and compliance verification - Serve as a subject matter expert for OS security questions and designs Minimum qualifications - Deep knowledge of Linux internals, including kernel subsystems and security frameworks (SELinux, AppArmor, seccomp, etc.) - Experience with kernel hardening techniques and exploit mitigation - Strong programming skills in C and systems programming languages - Experience with eBPF for security monitoring and enforcement - Understanding of virtualization and containerization security - Track record of identifying and fixing OS-level security vulnerabilities - Experience with security-focused Linux distributions Preferred qualifications - 5+ years of experience in operating systems security or kernel development - Kernel development experience or contributions to Linux kernel - Experience with real-time or embedded operating systems - Knowledge of hardware security features and their OS integration - Experience with secure boot technologies - Experience with confidential computing and memory encryption technologies (SEV, TDX, SGX)
Junior Ads Specialist
The role of a Junior Ads Specialist at Canonical Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of technology adoption, for our customers and for our own martech stack. We’re on the look out for a performance marketing manager to join our team and own our paid strategy. The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier. The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving growth, delighting customers and filling the sales funnel, we want to talk with you. This role sits in the Marketing team reporting to the Growth Engineering Manager. Location: This role will be based remotely in the EMEA region. What your day will look like - Support marketing team members with setting up and monitoring paid ads campaigns - Monitor paid ads performance and budgets across the Marketing team - Build on automation and AI to improve paid ads performance - Develop Canonical's adtech stack to industry leading standard What we are looking for in you - Proficiency with all ad platforms (Google, LinkedIn, Meta...) - Familiarity with campaign tracking and analytics tools - Experience driving successful lead generation campaigns. - Experience with A/B testing and data-driven decision making. - Exceptional interpersonal skills and aptitude for forging trusting relationships across diverse, cross-functional teams - Proven ability to prioritise and differentiate what matters from the noise, meeting deadlines without sacrificing quality - A growth mindset - someone who is not afraid to think big and take on risks - Engagement with the latest trends in marketing technology - Willingness to travel up to 4 times a year for internal events Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. 🏠Fully remote working environment - we’ve been working remotely since 2004! 📚Personal learning and development budget of 2,000 USD per annum 💰Annual compensation review 🏆Recognition rewards 🏝 Annual holiday leave 👶Parental Leave 🧑💼Employee Assistance Pr
Data Center Design Engineer, Electrical
About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. This team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role We are seeking experienced Data Center Electrical Design Engineers with expertise in designing, operating, and maintaining large-scale data center campuses. The ideal candidate for this role will have extensive background and experience in design and managing critical equipment and facilities, design and operation of MEP (Mechanical, Electrical, Plumbing) systems, and overseeing operational activities from initial phases of Data Center build through delivery and ongoing maintenance. The ideal candidate will have a strong technical background, operational leadership experience, and a proven ability to collaborate with external vendors on critical infrastructure. This role offers the opportunity to lead transformative data center projects with high visibility and impact. If you are passionate about delivering cutting-edge infrastructure solutions, we encourage you to apply. Key Responsibilities - Oversee building and MEP design, operation, and maintenance, including reviewing building and MEP drawings and proposals across all project phases. - Lead operational activities for large-scale data center campuses, from early design phases through delivery and daily operation. - Operate and maintain critical data center facilities and equipment, ensuring reliability and performance. - Collaborate with external vendors to select, procure, and manage critical equipment, such as generators, UPS, chillers, and CDUs. - Provide technical expertise on all aspects of data center building, equipment, and operational systems, ensuring alignment with best practices. - Ensure seamless integration of power, cooling, networking, and construction systems into overall data center design and operation. - Contribute to developing data center operational workflows from design requirements through commissioning, pilot testing, and deployment readiness. - Contribute to data center operations projects (hardware and software readiness) from planning through deployment. - Provide technical direction to teams and vendors, ensuring alignment with industry best practices and standards. - Select and manage external contractors and consultants and foster strong vendor relationships. - Oversee quality assurance and resolve risks to meet safety and operational standards. Qualifications - 10+ years of experience in data center design, operation, and maintenance. - Proven track record of leading operational and technical activities in large-scale data centers. - Extensive expertise in MEP design, operation, and maintenance, including critical infrastructure systems. - Comprehensive knowledge of data center buildings, equipment, and operational workflows. - Deep understanding of power, cooling, networking, and construction systems. - Hands-on experience with critical equipment (generators, UPS, chillers, CDUs) and vendor management. - Proven ability to work with external vendors for equipment selection and installation and bring up - Working experience with local and governmental regulatory agencies and compliance with data center design standards and requirements - Strong communication and collaboration skills with internal teams and stakeholders. - Familiarity with building construction and architecture concepts, as well as best practices in data center design. - Bachelor’s degree in engineering or related fields; advanced degree preferred. - Professional engineering certificate and other similar certificates required Preferred Skills - Experience in global, matrixed organizations and vendor negotiations. - Experience managing global, multi-site data center operations. - Expertise in logistics and supply chain management for large-scale operations. - Familiarity with sustainability and energy-efficient data center designs. 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 Machine Learning Engineer, Ads Content Unde...
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Ads Content Understanding (ACU) owns and produces signals that describe what Reddit content is about, how brand safe and suitable it is, and what users are trying to accomplish in commercial conversations. ACU is responsible for: - The Knowledge Graph (entities, brands, products, and relationships across Reddit and external sources). - Content taxonomies such as IAB, Shopify Standard Product Taxonomy, IAS, and other commercial taxonomies used for targeting, safety, and marketplace dynamics. - Opinion mining for ads use cases: sentiment, stance, commercial intent, and other qualitative attributes of conversations. - Shopping / product understanding: detecting product entities, product categories, and product attributes in organic conversations and aligning them with shopping catalogs. - Signals and tags registry: a unified, governed catalog of ACU signals that powers retrieval, ranking, safety, and insights across Ads Foundations and partner teams. We are looking for a Senior Machine Learning Engineer (IC4) who will act as a key contributor to the Content Understanding roadmap for the Monetization org. This is not a research scientist or pure DS role; success is defined by robust, shipped systems and monetization impact. The ideal candidate is a pragmatic engineer with strong software engineering fundamentals and solid ML intuition—not a pure research scientist. This is an Applied MLE role, requiring someone who can evaluate when to leverage hosted LLMs versus custom models, help scale content understanding to new modalities (e.g., video), and drive practical ML solutions that deliver business impact. Responsibilities: - Operate across the full ML lifecycle (problem framing, data, modeling, evaluation, deployment, monitoring, and oncall), designing scalable ML pipelines and championing responsible AI (bias, safety, explainability) for ACU’s models and signals in production. - Provide technical leadership and mentorship to MLEs and SWEs doing ML work in ACU, design reviews, setting technical standards, and uplifting the team’s modeling and systems craft. - Develop evaluation systems and quality monitoring systems for content understanding signals, using SOTA LM-judge practices.&n
Model Performance Software Engineer, Claude 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 We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself. Responsibilities - Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team - Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap - Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years - Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion - Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them - Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale - Partner with research leads to translate ambiguous research questions into durable engineering solutions - Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health You may be a good fit if you: - Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization - Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams - Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates - Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability - Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction - <p&g
Technical Program Manager, Enterprise
As a Technical Program Manager , you will partner with our Frontier Agent Engineering teams on enterprise customer engagements — owning operational execution and delivery of our technical work by managing timelines, milestones, risks, and dependencies across technical deliverables. You will drive the strategic alignment and end-to-end execution of our most critical Enterprise initiatives. This is a high-leverage, technical leadership role where you will own program delivery from initial scoping to measurable, enterprise-wide adoption. You will serve as the core communication backbone and connective tissue between engineering, product, and executive leadership. You are not just managing timelines; you are accountable for systemic, measurable outcomes, driving efficiency across the full agentic application development process. Operating in a hyper-growth, demanding AI environment, you will translate technical complexity into clear execution strategies, proactively mitigate risks, and ensure our engineering teams deliver reliable, high-value solutions at scale. Key Responsibilities - End-to-End Program Ownership: Own the strategic planning, scheduling, and high-velocity execution of multiple enterprise-grade programs, ensuring on-time delivery against aggressive product goals. Run weekly cross-functional syncs, surface blockers, drive decisions. - Cross-Functional Architecture Integration: Manage complex dependencies and technical communication across core teams (e.g., Platform, Forward Deployed Engineering, Product) to seamlessly deliver frontier agents to our enterprise customers. - Technical Translation & Executive Influence: Synthesize deep technical complexities into concise, actionable insights for both engineers and C-suite stakeholders. Drive absolute clarity across the delivery team regarding priorities, risks, and strategic outcomes. - Risk & Dependency Mitigation: Proactively identify, track, and architect mitigations for technical risks unique to enterprise AI deployment, maintaining momentum in the face of ambiguity. - Process Evolution: Modernize and scale agile execution frameworks (e.g., Jira, Linear) to support rapid, iterative machine learning and software development lifecycles. - Metrics-Driven Accountability: Define, track, and report on key program health metrics, delivery forecasts, and engineering bottlenecks directly to executive leadership. Minimum Qualifications - 5+ Enterprise-Scale Experience: 5+ years of experience as a Technical Program Manager or in a technical leadership role managing complex, large-scale software engineering or machine learning development projects. - Engineering Domain Expertise: 2+ years of dedicated experience managing programs focused directly on core engineering infrastructure, platform services, or distributed systems. - AI/ML Literacy: Strong foundational understanding of the Generative AI lifecycle, including LLM utilization for structured downstream tasks, model fine-tuning, and performance evaluation. - Masterful Communication: Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical challenges into clear business impacts. - Execution Excellence: Advanced proficiency with iterative
Senior Full-Stack Software Engineer, (Forward Depl...
Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: - Creating custom AI applications that will impact millions of citizens - Generating high-quality training data for custom LLMs - Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: - Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery. - Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. - Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability. - Contribute to core platform features designed to be reused across diverse international client use cases. - Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture. Ideally you’d have: - Bachelor’s degree in Computer Science or a related quantitative field - 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP. - Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health. - Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions. - A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software. - Driven async communication methodologies to reduce communication frictions Nice to haves: - Past experience working in a forward deployed engineer / dedicated customer engineer role - Experience working cross functionally with operations - Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
Strategic Account Executive, Retail & Commercial B...
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. As a Strategic Account Executive (Retail & Commercial Banking) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading retail and commercial banks. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across retail banking, commercial banking, and consumer finance organizations. You'll leverage deep banking sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into customer service, underwriting, risk, and back-office operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for retail and commercial banking decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across retail and commercial banks, and running the strategies to win them. By driving deployment of Anthropic's emerging products into banking enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities - Own a book of strategic, high-value accounts across retail banking, commercial banking, and consumer finance organizations, carrying and exceeding an individual revenue target - Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Risk, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion - Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue - Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business - Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate retail and commercial banking needs — customer service, underwriting, risk, operations — into product and roadmap input - Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion - Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications - 5+ years of enterprise sales experience in retail or commercial banking, with demonstrated success covering bank or consumer finance organizations - A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) - Experience winning and growing strategic enterprise accounts, including building C-suite relationships, withi
Staff+ Software Engineer, Developer Productivity
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows. Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. Responsibilities: - Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans - Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others - Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams - Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds - Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads You may be a good fit if you: - Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment - Have strong proficiency in Python, Rust and/or Go - Are obsessed with developer productivity and reducing friction in the software development lifecycle - Have experience with container orchestration and infrastructure at scale - Have excellent communication skills and enjoy supporting internal partners to improve their development experience - Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: - 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure - 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead - Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale - Experience building or operating remote build execution systems (B
Research Advisor - Human Frontier Collective (UK)
About the Program The Human Frontier Collective (HFC) brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Research Advisor, you’ll apply your academic and professional expertise to help develop strategy, design, evaluate, and interpret advanced generative AI systems – while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers. What You’ll Do - Senior Advisory & Model Governance: Provide elite-level consultancy and leadership on model behavior and domain-specific logic, establishing the benchmarks for professional integrity. - High-Impact Research Collaboration: Influence the technical roadmap by partnering across Scale AI's product, research, delivery, and GTM teams to design sophisticated, small-scale tasks that translate expert-level intuition into rigorous, computable frameworks for frontier model evaluation. - Executive Client Engagement: Represent Scale AI and the HFC as a Subject Matter Expert during pivotal sales cycles, executive meetings, and conferences, - Visionary Creation: Contribute to the creation of premier technical content and strategic GTM assets that ultimately helps position Scale as the definitive leader in the industry. - Publications: Collaborate with Scale’s research team to co-author technical reports and research papers, boosting your academic visibility and professional recognition (e.g., SciPredict , PropensityBench , Professional Reasoning Benchmark ). - HFC Community: Become a foundational member of HFC; a supportive, interdisciplinary network of innovators. Gain exclusive access to a community of industry leaders and AI researchers dedicated to advancing the frontier of data. Who Should Apply - Ideal Backgrounds Include: - Finance: IB/PE/VC/consulting C-Suite, VPs, or Directors from Bulge Bracket or Elite Boutiques (e.g., Goldman Sachs, Blackstone), Senior Managers, Senior Associates, or Senior Analysts from top-tier firms. - Legal: Partners or Senior Counsel at V100 firms; former SCOTUS/Federal Clerks, and Senior Associates from Big Law with active bar membership - Medical: Board-certified MDs from premier academic hospitals (e.g., Mayo Clinic, Cleveland Clinic). Practicing physicians w/ at least 5 YOE of post-residency experience from premier hospitals. - Professional Experience: 5+ years of relevant industry experience with strong, top-tier domain knowledge. Proven track record of operating at the top of their field and applying deep expertise in high-impact, real-world environments across finance, legal, medical, or related fields. - Educational Background: Based on your specific expertise, we are seeking candidates who hold a bachelor’s, master’s, PhD, MD/DO, or JD degree, coupled with significant clinical, legal, or financial practice experience. - Technical Expertise: Demonstrated research ex
Senior Corporate Development Lead, AI
Datadog is seeking a highly motivated Senior Corporate Development Lead to drive our AI product strategy, build strong relationships across the founder and VC ecosystem, and support high-impact initiatives including acquisitions, venture investments, and startup partnerships. You will be part of a small, high-visibility team that reports directly to Datadog’s Founder/CEO. The ideal candidate is passionate about AI and developer tools, comfortable rolling up their sleeves, and excited to operate in a fluid, technically demanding environment. You will support evaluations, source promising AI startups, collaborate closely with internal product and engineering leaders, and help position Datadog as the preferred partner for the next generation of founders. This role is ideal for someone who is hungry for increased responsibility, operates with authenticity and creativity, and prioritizes the company’s interests. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Support Datadog’s AI product strategy by analyzing emerging technologies, market opportunities, and competitive dynamics. - Source high-potential AI startups for acquisition, investment, or partnership, and build a strong presence across the founder and VC ecosystem. - Attend meetups, conferences, and ecosystem events to expand Datadog’s visibility and pipeline opportunities. - Drive workstreams across diligence, valuation, financial modeling, strategic assessment, and internal recommendations. - Partner with Product and Engineering leaders to evaluate build/buy/partner opportunities aligned with Datadog’s AI roadmap. - Support negotiation processes, including term sheets and partnership structures. - Collaborate on integration planning with cross-functional partners after acquisitions or strategic deals. - Help attract early-stage AI companies into Datadog’s startup program. Who You Are: - Demonstrated technical knowledge through past experience (software engineering, product management, VC, etc.) or a degree in Computer Science (or equivalent). - Some experience with financial modeling, forecasting, or analysis (willingness to learn; we can teach you). - Excited about building and maintaining a strong network across founders, VCs, and the broader AI ecosystem. - Self-starter who thrives in fast-paced, ambiguous, and technically challenging environments. - Excellent prioritization and ability to operate across multiple complex stakeholders and projects. - Strong communication skills and enthusiasm for developing negotiation capabilities. Benefits and Growth:</strong&
Engagement Manager (San Francisco)
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 Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high acro
Member of Technical Staff (Model Behavior Architec...
ABOUT THE ROLE We're looking for a Model Behavior Architect to help build Perplexity's AI products and evaluations. You'll sit within our AI team and collaborate closely with research and product teams, designing prompt and context engineering strategies to deliver high quality user experiences across multiple domains and models. This role is equal parts craft and science. You'll develop a deep understanding of our answer engine by pressure-testing model capabilities and working across our AI infrastructure (including system and tool prompts, skills, and evaluations) to create a stellar product experience for our users. You'll serve as a go-to expert on prompting, model quality, and behavioral consistency across new product features and model releases. KEY RESPONSIBILITIES - Context Engineering: Design, test, and optimize context strategies and system prompts that shape answer engine behavior across products, features, and use cases. - Evaluation Systems: Build automated and semi-automated evaluation pipelines that measure model quality, catch regressions, and scale across product surfaces. - Model Launch Support: Partner with research and engineering to validate model behavior before and during rollouts, ensuring smooth transitions with no degradation. - Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects — for both internal and production-facing systems. - Cross-functional Collaboration: Work closely with design, product, and research teams to translate product goals into concrete model behavior requirements. - Knowledge Sharing: Help engineers across teams build intuition for prompt design, context engineering, and evaluation best practices. - Staying Current: Track the latest alignment, evaluation, and prompting techniques from industry and academia, and bring the best ideas back to the team. WHAT WE'RE LOOKING FOR REQUIRED - Experience designing evaluations, benchmarks, or metrics for AI systems. - Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders. - Ability to manage multiple concurrent projects in a fast-moving environment. - Strong experience with Perplexity or other frontier AI models in production settings. - Demonstrated experience with Python — you'll prototype, debug, automate, and build systems at scale. - 3+ years of experience working with LLMs in a product or research setting. PREFERRED - Experience with A/B testing or experimentation frameworks. - Track record of improving AI system performance through systematic evaluation and iteration. THIS ROLE MAY BE A GREAT FIT FOR YOU IF YOU - Get excited about edge cases in model behavior and love digging into how an answer could be better. - Enjoy turning qualitative "this feels off" intuitions into quantitative metrics and systematic fixes. - Want to work at the intersection of research and product, where your work ships to real users same-day. - Are comfortable with ambiguity and can define what "good" looks like for novel AI features. - Have a hacker spirit — you'd rather build a quick prototype to test a hypothesis than debate it in a doc. - Care deeply about making AI more reliable and useful for our users.
Technical Program Manager, Compute
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 Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs. You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment. Responsibilities: - Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams - Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health - Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms - Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used - Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication - Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership - Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity You may be a good fit if you: - Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments - Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements - Have experience working with research or ML teams and translating their needs into operational plans and technical requirements - Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility - Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up - Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership - Have a track record of building trust with engineering teams and driving changes through influence rather than authority Strong candidates may also have: - Experience managing compute capacity across multi
Lead Thermal Simulation Engineer
About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve people's lives. About the Role We are seeking a lead thermal simulation engineer to help accelerate the design and development of next-generation robotic systems through modeling, simulation, and analysis. You will work closely with mechanical, electrical, controls, and robotics engineers to evaluate designs before hardware is built, identify risks early, and guide critical architecture decisions. This role spans structural and thermal analysis and design across robotic subsystems including actuators, mechanisms, structures, electronics, and integrated systems. You will develop simulation workflows that improve engineering velocity, increase confidence in design decisions, and help us build more capable, reliable, and manufacturable robotic platforms. This role is based in San Francisco, CA. This role will be expected to be in office 4 days per week and offer relocation assistance to new employees. In this role, you will: - Perform thermal simulations to assess heat generation, cooling strategies, thermal interfaces, and system-level thermal performance - Partner with mechanical, electrical, and controls engineers to influence design decisions early in development - Build simulation models to evaluate robotic actuators, transmissions, mechanisms, structures, soft goods, and integrated assemblies - Correlate simulation results with physical testing and develop methodologies to improve model accuracy - Support architecture trade studies by evaluating design concepts before hardware is built - Develop simulation workflows, standards, and best practices that scale across the robotics organization - Identify technical risks and recommend design changes to improve performance, reliability, and manufacturability - Support root cause investigations by combining test data, failure analysis, and simulation results - Contribute to long-term simulation capabilities including multiphysics modeling, digital twins, and system-level analysis You might thrive in this role if you: - Enjoy using first-principles engineering and simulation to solve complex multidisciplinary problems - Are comfortable operating in ambiguous environments where simulation and design helps guide architecture decisions rather than simply validate finished designs - Have strong intuition for mechanical systems and can connect simulation results to real-world hardware behavior - Balance modeling rigor with practical engineering judgment and development speed - Enjoy collaborating closely with hardware teams and influencing products from concept through deployment Preferred qualifications: - Experience performing thermal simulation and design of complex electromechanical systems - Proficiency with commercial CAE tools such as Simcenter 3D, Abaqus, Ansys, Nastran, LS-DYNA, COMSOL, or equivalent platforms - Experience correlating simulation models with physical test data and validation campaigns for high volume products - Familiarity with robotic systems, actuators, mechanisms, power electronics, batteries, or other highly integrated hardware systems - Experience developing simulation methodologies, automation tools, or organization-wide thermal 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 AI Programmer
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We’re always improving on the tools and technology that empower content developers worldwide. What You'll Do We are a new and growing team at Epic, aiming to build innovative new experiences and technology. As a Senior Gameplay AI Programmer, you'll play a critical role on a small, focused team. You'll own core AI features and drive collaborative development between programmers, designers, and artists, working with cutting-edge technologies and talented teams to build impactful experiences from concept to delivery. In this role, you will - Collaborate with art, design, and engine AI teams to create, iterate on, and improve gameplay AI features - Experiment with game design and iterate rapidly, making strong technical and algorithmic decisions - Drive, build, and maintain core AI systems shared in the Fortnite AI ecosystem - Optimize, debug, and maintain gameplay AI systems to deliver high-quality experiences across all supported platforms What we're looking for - Professional game development experience, including shipping AAA titles with AI systems - Experience working with AI systems (Behavior Trees, Finite State Machines, Pathfinding, Animation, etc.) - Excellent C++ skills with experience developing AI gameplay mechanics and tools - Strong knowledge of games with the ability to articulate design strengths and weaknesses - Excellent communication and interpersonal skills - Ability to work independently and manage priorities with minimal direction - Strong problem-solving skills with the ability to find solutions beyond established approaches - Experience working on a live service game is a plus - Interest in online games is a plus This role is open to multiple locations in North America (excluding CA, NY, & WA). ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators acr
Director of Product Management, Forward Deployed &...
Role Summary Lead a high-stakes team of Product Managers responsible for successful delivery and integration of Scale products into complex customer environments. Own the feedback loop that converts bespoke field wins into scalable, repeatable product strategy, partnering deeply with Sales/GTM and EPD (Eng/Product/Design). Core Responsibilities - Hire, mentor, and deploy PMs across strategic accounts (e.g., Fortune 100, government). - Identify patterns across deployments; decide which bespoke solutions should move from custom to core product. - Primary product partner to Sales/GTM leadership to align roadmap with market demand. - Provide strategic + technical oversight to unblock high-priority deployments in “red zones.” - Champion the voice of the field within internal EPD teams. Ideal Background - 10+ years of product leadership, including 4+ years managing Product Management teams. - Experience in forward-deployed models or top-tier technical consulting / implementation. - High technical IQ: comfort with APIs, data pipelines, SQL; understands how data quality affects model performance. - Extreme ownership + systems thinking; navigates complex stakeholder landscapes from engineers to C-suite. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, inc
Manager of Applied AI Architecture, Enterprise Tec...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As the manager of the Applied AI Architect, Enterprise Tech (Cyber) team at Anthropic, you will drive the adoption of frontier AI across the cybersecurity industry — enabling leading security companies to build Claude into their detection, response, and security operations products via Anthropic's API, Claude Code, and Claude for Enterprise. You'll leverage your technical skills and consultative sales experience to help security vendors ship AI-powered capabilities that meet the industry's exacting standards for reliability, accuracy, and safety. You'll be responsible for leading & growing the Applied AI Architect, Enterprise Tech (Cyber) team, establish processes and best practices for your segment's pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships. In collaboration with the Sales, Product, and Engineering teams, you'll help enterprise tech partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities: - Manage and mentor a team of Applied AI Architects, Enterprise Tech (Cyber) providing both technical guidance and career development - Set goals and reviews for your team, promoting growth and output - Work with a handful of highest-value Enterprise Tech customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution - Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Enterprise Tech (Cyber) customers - Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products - Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes - Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships - Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products - Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases - Contribute to thought leadership through conference presentations, webinars, and technical content creation - Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector You may be a good fit if you: - 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre
Head of Programmatic Customer Success
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Customer Success organization covers our most strategic enterprise accounts through dedicated CSMs — but the majority of our customers will never be reached that way. Programmatic CS is how we close that gap: scalable digital journeys, AI-built engagement plays, and partner-delivered activation motions that drive habitual Claude adoption across a much broader customer base. This is a new function, and you'd be its first leader. You'll report to the Head of Customer Success and work closely with Product, Partnerships, Growth Marketing, and Strategy to design and operate the system that moves customers from signed contract to deeply embedded usage — without a 1:1 CSM relationship to lean on. The right person for this role has built something like this before, at real scale, and is genuinely excited to build it again from the ground up with better tools — including Claude itself as a core part of how the team operates. Key responsibilities - Define and own the programmatic CS strategy: how we tier accounts, what motion each tier receives, and how customers move between them as their needs evolve - Design and ship digital success programs — lifecycle communications, in-product nudges, self-serve onboarding — that drive activation and habitual usage without human-touch coverage - Build and run AI-powered engagement plays that extend the team's reach; work with Product to clarify what this team builds versus what lives in the product itself - Set the quality bar and requirements for partner-led activation, and maintain a tight feedback loop with our Partnerships team who owns the partner ecosystem - Establish the metrics framework for programmatic success: define what "activated" means at each tier, identify leading indicators, and build the instrumentation to track them - Run a rigorous experimentation program to understand which motions actually change customer behavior — and update the playbook when the data says to - Hire and lead a small, high-leverage team; bring cross-functional partners along on the vision and the operating model Minimum qualifications - Proven experience leading and building programmatic, digital success, lifecycle, or PLG motions at significant scale — with direct ownership of an adoption or activation outcome - Track record of building scalable systems and programs, not just managing existing ones; you've started from a blank page before - Strong cross-functional instincts — comfortable writing briefs that other teams execute against, resolving handoff ambiguity, and influencing roadmaps without direct authority - Data-driven approach to decision-making, including experience designing experiments that distinguish real behavior change from activity metrics - Experience managing and developing teams Preferred qualifications - Experience spanning more than one of: digital/PLG, partner ecosystems, lifecycle marketing, or scaled CS — ideally combined into a single integrated motion - Hands-on familiarity with AI-powered workflows or automation as a force multiplier for
Senior Engineering Program Manager, Core Algorithm...
Senior Engineering Program Manager, Core Algorithm Development at WHOOP. Femtech Insider network role. Industry tags: Analytics, Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Personal Health, Software, Sports, Wearables, Wellness. Skills: Program Management, Data Science, Machine Learning, Software Engineering, Integration, Release Management, Stakeholder Management, Organizational Skills, Risk Management. Locations: Boston, MA, USA. Work mode: on site.
Staff Software Engineer, Labs: Applied AI
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. Applied AI is one of the newest explorations within Anthropic Labs, the internal accelerator behind Claude Code, MCP, and Claude Design. Most of the world's work happens far from a code editor, and the people doing it have barely begun to feel what frontier AI can do. We believe Claude has a transformative role to play here — and we're at the earliest stage of exploring what that could look like. The engineers who join now will define where it goes. We're looking for versatile, entrepreneurial engineers who are energized by building for users unlike themselves. In this role, you'll take frontier AI capabilities and turn them into applications that professionals in less software-native roles can pick up and trust — rapidly building and testing new experiences, partnering directly with researchers, domain experts, and users, and generating the insights that shape where this exploration goes next. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory. Responsibilities - Rapidly prototype full-stack applications that bring frontier AI into workflows that have never been software-first, shipping early and often to maximize learning - Immerse yourself in unfamiliar domains: sit with users, learn how their work actually gets done, and encode that understanding into products, evaluations, and workflows - Collaborate closely with research teams to understand new model capabilities and translate them into tools that non-technical professionals reach for first - Work directly with internal teams and external partners across industries to gather feedback, iterate quickly, and validate (or invalidate) product concepts - Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation - Generate documentation and insights to guide successful prototypes toward full product teams - Provide feedback to research teams about model effectiveness in real-world, domain-heavy settings and where capabilities can improve - Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities — context from one project should inform the next You may be a good fit if you - Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments - Are deeply curious about how other industries work, and enjoy translating messy, real-world workflows into simple software - Thrive in ambiguity and are energized (not anxious) by uncertainty — you'r
Staff Data Scientist, Consumer
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. Responsibilities: - Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention - Influence strategic roadmaps through data-driven insights into user behaviors and needs - Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis - Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions - Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization - Work cross functionally with product, engineering, and design teams to ensure insights make it to the product - Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems Required Qualifications: - Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research - For M.S. holders: 10+ years of industry experience in applied science or data science roles - For Ph.D. holders: 6+ years of industry experience in applied science or data science roles - Expert knowledge of SQL and relational databases - Familiarity with statistical analysis and the preferred programming languages of the team (R / Python) - Demonstrated ability to influence and guide product strategy with data - Demonstrated ability to take ambiguous problems and solve them in a structured, h
Senior Talent Business Partner, Early Career - AI/...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As the Senior Talent Business Partner - AI/ML PhD on the Early Careers Recruiting team, you will be a driver for cultivating and converting the next generation of exceptional AI/ML technical talent . We’re looking for a PhD Recruiting expert to support Roblox’s ML and AI engineering growth as well as create and scale programs that are not just operationally excellent, but are a competitive differentiator, modeling the caliber of talent acquisition found at the world's most ambitious technology and AI companies. You Will: - Own the end-to-end technical recruiting pipeline for PhD AI/ML roles including full-time and internships, helping to define the process as a scalable, distributed system that must maintain a high quality bar under extreme volume. - Partner with engineering and data leaders to define role scopes, assess capability gaps, and shape hiring strategy across emerging domains like generative AI, LLMs, NLP, computer vision, and infrastructure automation. - Relentlessly monitor recruiting health metrics to translate complex data into actionable insights and strategic recommendations with hiring partners. - Act as a talent business partner to executive leadership, hiring managers, and cross-functional teams (PBPs, People Analytics, Engineering) to forecast needs, secure resources, and influence hiring velocity and quality. - Design, implement, and continuously refine scalable, end-to-end PhD hiring programs that deliver an outstanding, human-centered candidate experience from first touchpoint through conversion and onboarding. - Partner with leaders and cross functional partners to execute the PhD strategy including ML conferences, campus strategy, academic collaborations, and creative outreach strategies. - Serve as a subject matter expert on AI/ML PhD market trends and innovative sourcing techniques. - Ensure that operational excellence is at the forefront of your process - influencing and improving processes to help the team work smarter, faster, and at scale. You Have: Required Qualifications - Progressive experience with 6+ years of full-lifecycle technical recruiting experience in a fast-paced environment, with a focused track record in Technical or University Recruiting - Proven ability to manage high-volume pipelines, delivering quality results whil
Sales Systems Engineer, Enterprise Operations
About Perplexity Perplexity is the answer engine for the AI era. We are scaling a fast-growing enterprise business and building the operating system that runs it. Our GTM stack is modern, API-first, and Snowflake-native. We build before we buy, and we ship. The Role We are hiring a Sales Systems Engineer to own the technical layer underneath our enterprise sales motion. This person runs CPQ, account and lead scoring, data orchestration, and the integrations that connect Salesforce, Snowflake, and the rest of our GTM stack. You will be the technical owner of how deals get priced, quoted, scored, routed, and tracked. You will work directly with sales, finance, marketing ops, and product to build a system that scales from where we are now to a billion-dollar-ARR business. This is a builder role. You should be equally comfortable writing SQL in Snowflake, building Salesforce flows, configuring CPQ rules, debugging a Workato recipe, and shipping a Python script to fix a data problem before the seller notices. What You Will Own - CPQ: Quote-to-cash configuration, product catalog, pricing rules, approval workflows, discount governance, contract generation. Partner with Finance and Legal on guardrails. - Scoring: Account scoring, lead scoring, PLG activation scoring, intent signal aggregation. Build and maintain scoring models in Snowflake, push scores to Salesforce via reverse ETL. - Data orchestration: Polytomic, Hightouch, and Workato pipelines that move data across Snowflake, Salesforce, NetSuite, Apollo, Unify, and the rest of the stack. Own SLAs, monitoring, and breakage response. - Salesforce engineering: Flows, validation rules, formula fields, custom objects, Apex when needed, Lightning page configuration, permission sets, sandbox management. - Integrations: API-level integration work across our GTM tools. Build custom connectors when off-the-shelf does not cut it. - Routing and ownership: Account routing logic, opportunity assignment rules, territory management, ROE enforcement. - Reporting infrastructure: Snowflake models that power pipeline, forecast, comp, and exec reporting. Partner with Analytics on the visualization layer. What We Are Looking For - 5+ years in Sales Systems, RevOps Engineering, Salesforce engineering, or Enterprise Systems at a high-growth SaaS company - Deep Salesforce expertise: flows, formula fields, validation rules, custom objects, sharing model, Apex if needed - Hands-on CPQ experience (Salesforce CPQ, Stripe Billing, Maxio, or similar) including pricing, approvals, and quote generation - Strong SQL. You can write production-grade Snowflake queries and build dbt-style transformation logic. - Production experience with reverse ETL (Polytomic, Hightouch, Census) and iPaaS (Workato, Tray, Zapier at scale) - Comfort with REST APIs, webhooks, and scripting in Python or JavaScript - A bias for building. You have shipped custom solutions when the vendor option was wrong. - Operator mindset. You read tickets, you ship fixes, you do not need a PM to translate seller requests. Nice to Have - Familiarity with PLG-to-enterprise motion and scoring users into accounts - Experience with Apollo, Unify, Loops, Gatsby, Momentum, Floqer, or similar GTM tools - NetSuite or Metronome billing exposure - Comp plan tooling (Everstage, CaptivateIQ, QuotaPath) - Background in entity resolution, dedup, or domain enrichment How We Work - Build over buy when it earns its keep - Snowflake is the source of truth, Salesforce is the system of action - Live data over polling - Real people own accounts, never queues - Direct, fast, low-process. We delete and resend over debate. What Success Looks Like - 90 days: You own CPQ, scoring, and orchestration. Nothing breaks silently. Sellers know who to call. - 180 days: Quote-to-cash is clean. Scoring drives real routing decisions. Snowflake-Salesforce sync is boring. - 12 months: You have replaced two vendors with custom builds, shipped the next generation of our scoring system, and ma
Senior Data Scientist - Machine Intelligence (Crea...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization’s mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and creators. WHY CREATOR SERVICES? At Roblox, the Creator Services team enables unbounded creation through reliable core services and novel AI applications. As a Senior Data Scientist focused on Machine Intelligence , you will bridge the gap between high-tier engineering infrastructure and cutting-edge ML applications. You will be the primary strategic partner to product and engineering leadership, transforming unstructured data into actionable business insights and user-facing products. This is a "zero-to-one" environment. You will be tasked with creating standards for entirely new data formats and building the analytical frameworks that define how machine learning drives creator success and platform sustainability. You Will: - Lead ML-Driven Transformation: Act as the lead data partner to engineering and product leadership, shaping roadmaps for ML products by translating technical approaches into interpretable, movable metrics. - Model Unstructured Data: Develop sophisticated ML models for unstructured data—including text, images, and video—to improve product measurement and external user experiences. - Own data workflows end-to-end: Drive work from ideation through data collection, pipeline development, and modeling, to produce outputs that inform leadership decisionmaking. - Design Causal Frameworks: Design complex experiments to quantify the impact of foundational service updates and AI-driven features on the broader Roblox ecosystem. - Translate Technical Wins into Business Value: Bridge the gap between deep-tier engineering metrics and high-level business impact. Own the narrative that helps stakeholders understand how service improvement
Strategic Account Executive, GSI
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 GSI team partners with the world’s largest Global System Integrators and strategy consultancies to deploy frontier AI into the core of how they deliver client work and run their own businesses. These are complex, partner-led organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built across practice areas and at the executive level. As an Strategic Account Executive on the GSI team, you’ll own a named book of accounts and the full revenue outcome for each. You’ll develop a point of view on where Claude creates the most value across a firm’s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. These firms are both customer and future channel — your sell-to motion sets up the sell-with later. You’ll work closely with Product, Applied AI, GTM, and Partnerships leadership to shape how Anthropic shows up across the GSI landscape, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly. This is a role for someone who has owned large, complex partner-led accounts end to end and is comfortable operating independently at the executive level. Responsibilities - Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms - Develop a clear thesis for each priority firm — where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements — and execute a sequenced engagement plan across practices, regions, and stakeholders - Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity - Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations - Build quantified, firm-specific business cases mapped to the GSI operating model — using their own language and metrics — that shape deals rather than justify them after the fact - Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion - Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion You may be a good fit if you have - 8+ years of enterprise software sales experience with a track record
VP, Finance
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We're hiring a VP of Finance to build the finance function from the ground up as our first full-time finance hire. This is a high-impact role for someone who thrives at the intersection of strategic thinking and hands-on execution. We are looking for someone who can architect the systems and processes that will scale with Modal, partner closely with the founders and executive team, and grow into the company's CFO. You'll report directly to the CEO and collaborate closely with our BizOps, GTM, and Product teams. In this role, you will: - Build and maintain Modal's operating model, tying financial performance to company KPIs and resource allocation - Lead all budgeting, forecasting, and long-range planning processes, and develop the reporting infrastructure that gives leadership and the board clear, timely visibility into the health of the business - Partner with the founders on fundraising strategy, future funding rounds, and investor relations, including financial modeling and data room preparation - Think creatively about capital structure to optimize our balance sheet as we scale - Build the finance team and systems from scratch, making smart decisions about what to build vs. buy vs. outsource - Oversee accounting operations, financial close, and reporting in partnership with our Controller and external providers - Ensure sound revenue recognition policies and maintain audit-readiness as the company scales Serve as a strategic thought partner to our BizOps, GTM, and Product teams on pricing, headcount planning, unit economics, and product investment decisions REQUIREMENTS: - 10+ years of progressive finance experience, with at least 3–5 years in a senior leadership role at a high-growth technology company - Proven experience building or significantly scaling a finance function, including systems, processes, and team - Deep FP&A and operating model expertise, with strong command of SaaS and infrastructure business metrics - Experience supporting companies through venture fundraising rounds and managing institutional investor relationships - Strong grasp of revenue recognition principles under ASC 606, particularly in usage-based or consumption-driven business models - Demonstrated ability to partner cross-functionally and influence decisions across the organization - Ability to work in-person in our NYC office Bonus: - Experience with usage-based or consumption pricing models - Experience in product-led growth (PLG) businesses - SQL proficiency and comfort working directly with data
Sr. Data Platform Engineer - Computer System Valid...
Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine. In this role, you will: - Build, scale, and operate in a validated data platform . You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery. - Engineer Data Integrity and Traceability: You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet. - Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion. The Team You’ll Join - You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake . The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines. Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus. Working Location & Compensation: This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time.
Data Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Data Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. Responsibilities : - Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements - Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets - Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data - Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company - Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company - Influence the future roadmap of Product and GTM teams from a data systems perspective - Become an expert in our organization’s data models and the company's data architecture You might be a good fit if you have: - 5+ years of experience as a Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics. - A passion for the company's mission of building helpful, honest, and harmless AI. - Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. - Expertise in SQL and Python to transform data into accurate, clean data models. - Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. - A bias for action and urgency, not letting perfect be the enemy of the effective. - A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. - Experience building an Analytics Data Engineering (or similar) function at start-ups. - A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000<
Account Director, Life Sciences
About the team OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team helps customers understand, adopt, and deploy OpenAI's technology across their most important workflows. The team is made up of Sales, Solutions, Support, Marketing, and Partnerships professionals who work together to bring AI to as many people and organizations as possible. About the role As an Account Director focused on Life Sciences, you will own executive-level relationships with organizations across biopharma, medical technology, and life science services. This includes pharmaceutical and biotechnology companies, medical device and diagnostics companies, contract research organizations, contract development and manufacturing organizations, research tools companies, and laboratory or scientific services providers. This is a role for someone who understands how life sciences companies create, validate, manufacture, commercialize, and support scientific and medical products. You will help these customers evaluate and deploy OpenAI's technology to accelerate R&D, improve clinical and regulatory workflows, scale scientific and medical content operations, modernize commercial and field teams, and improve knowledge work across highly regulated environments. The role blends scientific literacy, enterprise sales discipline, technical curiosity, and relationship-driven account leadership. You will partner closely with solutions, research, product, legal, security, and compliance teams to design secure, responsible, and high-impact AI deployments for life sciences customers. This role can be remote but New York or San Francisco office locations are preferred. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Manage a focused portfolio of strategic life sciences accounts across biopharma, medtech, diagnostics, CROs, CDMOs, and life science services - Develop long-term account plans that map OpenAI capabilities to customer priorities across R&D, clinical development, regulatory, manufacturing, medical affairs, commercial, and enterprise IT - Lead complex, multi-stakeholder sales cycles with executives, technical leaders, scientific stakeholders, procurement, legal, privacy, security, and compliance teams - Identify and shape high-value AI use cases such as drug discovery support, clinical trial operations, regulatory submissions, medical writing, pharmacovigilance, field enablement, customer operations, and enterprise knowledge workflows - Partner with solutions and research engineering to design pilots and deployments that demonstrate measurable business, scientific, and operational impact - Collaborate with privacy, security, legal, and compliance partners to support responsible AI deployment in regulated life sciences environments, including GxP and global data governance considerations - Own revenue, consumption, pipeline, forecast accuracy, and expansion strategy for your accounts - Monitor life sciences industry trends, regulatory shifts, competitive dynamics, and customer buying patterns to inform account strategy and the broader OpenAI go-to-market motion - Represent OpenAI in life sciences industry forums and customer executive conversations, including settings such as JPM, BIO, HLTH, and targeted biopharma or medtech leadership events - Partner cross-functionally with marketing, partnerships, communications, and product teams to build a repeatable life sciences go-to-market motion We're seeking someone with experience including: - 14+ years selling complex enterprise software, cloud, AI, data, or platform solutions to life sciences customers - A track record of building and growing strategic accounts across biopharma, medtech, diagnostics, CROs, CDMOs, life science services, or adjacent scientific industries - Proven success achieving and exceeding multi-million-dollar annual revenue targets in complex, regulated enterprise environments - Experience managing C-suite and senior stakeholder relationships across R&D, clinical, regulatory, manufacturing, medical affairs, commercial, enterprise IT, security, and data organizations - Strong understanding of life sciences workflows such as drug discovery, translational research, clinical development, regulatory submissions, quality, manufacturing, medical affairs, market access, and commercial operations - Familiarity with data privacy, security, compliance, validation, GxP, and responsible AI considerations relevant to life sciences companies - Demonstrated ability to create account strategy, navigate large buying committees, build executive consensus, and close complex platform or transformation deals - Ability to translate technical AI capabilities into concrete business, scientific, and operational outcomes for life sciences customers You might thrive in this role if you: - Are energized by helping life sciences companies use AI to advance scientific discovery, product development, and commercial impact - Can translate complex scientific, technical, regulatory, and business needs into clear AI adoption strategies - Are comfortable selling to both technical and non-technical executives across R&D, commercial, IT, data, security, legal, and compliance functions - Bring curiosity about biology, medicine, devices, diagnostics, research services, and the changing operating model of life sciences companies - Are a builder who enjoys creating repeatable sales motions, customer narratives, and proof points in an emerging market - Are a strategic account leader who can move from executive vision to practical pilot design, adoption planning, expansion strategy, and measurable customer impact - Are comfortable operating with ambiguity and creating clarity across complex, cross-functional engagements 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.
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