AI Creative & Design Jobs

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This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. Specific teams may have specific location preferences.About ElevenLabsElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is scaling rapidly but we are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-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 offerLearning & development: Annual discretionary stipend towards professional development.Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.Most importantly, 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.About the roleAt ElevenLabs, we believe AI will fundamentally change how companies grow and win customers. As an AI Automations Engineer, you'll be at the heart of that transformation—designing and building the next generation of tooling for go-to-market (GTM), Operations, and Finance teams.This is a highly cross-functional, technical role where you’ll use your full-stack engineering skills to build systems that supercharge ElevenLabs. You’ll embed within a specific team, and work closely with sales, marketing, operations, and product leaders to understand pain points, decompose ambiguous problems, and ship elegant, pragmatic solutions at speed. If you’re the kind of person who treats every broken process as a challenge to be fixed with software—and if you get excited about how AI is reshaping sales and marketing—you’ll thrive in this role.As an AI Automations Engineer, you can expect to:Own the design and implementation of internal tools and infrastructure that directly support our revenue teams.Build AI agents to automate processes, surface insights, and integrate data across multiple tools and resources. Partner with strategy and operations teams to deeply understand the customer and sales lifecycle, then automate, optimize, and reimagine it with code.Own & launch experiments to identify new ways to scale and optimize ElevenLabs operations, and drive their development and implementation.Design and deliver technical enablement that makes insights actionable across the ElevenLabs teams, through education, tooling, and streamlined workflows.Be a force multiplier: rapidly prototype and deploy full-stack features that have immediate business impact.RequirementsWe’re looking for exceptional engineers who are passionate about building technical systems that scale. You might be a technical start-up cofounder or a fullstack engineer who is dying to build more with AI. If this article sounds fun to you, you’re probably a good fit.Strong full-stack engineering skills: you’re comfortable moving across frontend, backend, and infrastructure as needed. Minimum requirements: Python, SQL.Builder mindset: you move fast, work independently, and don't wait for perfect specs—you uncover them through action. You have a talent for spotting patterns, identifying opportunities to automate or standardize, and translating them into scalable solutions.Deep product intuition: you think in terms of systems and workflows, and care about the business impact of what you build. You enjoy designing & building tools that empower internal teams to move faster and operate more independently.Passionate about AI: you’re eager to explore how AI can transform B2B sales, marketing, operation, and finance. You have experience working with data, AI agents, LLMs, prompting, and common integration patterns across tools and systems. #LI-Remote

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About HappyRobotHappyRobot is a platform to build and deploy AI workers that automate communication. See a demoOur AI workers connect to any system or data source to handle phone calls, email, messages…We target the logistics industry which relies heavily on communication to book, check on, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.We raised a Series A round from a16z and YC and we’re growing very fast.We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great—ready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment.About the RoleWe're looking for a Site Reliability Engineer to take the lead on scaling our operational resilience as we grow. You’ll own the stability, observability, and debugging workflows that keep our systems running smoothly. You'll be the go-to person for untangling complex failures in real time, designing tools that turn chaos into clarity, and helping us shift from reactive to proactive operations.This is a high-impact, high-trust role where you’ll shape how reliability is done - reducing incident load, building internal tooling, and directly improving developer focus and system uptime. If you love getting to the root of hard problems and making systems (and teams) stronger, this is your moment.Must-Have1+ years of hands-on experience debugging production systems (logs, traces, incidents, etc.)Strong problem-solving skills and ability to dive into unfamiliar backend codebasesComfort with Python and Go for reading code and writing small tools/utilitiesFamiliarity with observability and monitoring tools (e.g., Datadog, Prometheus, Sentry)Clear, calm communication under pressure — especially during live incidentsNice-to-HaveExperience working with distributed systems or services at scaleBuilt or maintained internal tooling for on-call teams or reliability workflowsFamiliarity with deployment pipelines, CI/CD, or infra-as-codeExperience improving system observability (e.g., custom metrics, traces, log pipelines)Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for double-digit ARR.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Ownership & Autonomy - Take full ownership of projects and ship fast.Work With the Best - Join a world-class team of engineers and builders.Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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About Delve Delve is on a mission to eliminate busywork for humanity by turning compliance from a manual grind into an effortless, automated partnership. Trusted by over 500+ fast‑growing companies—like Lovable, 11x, and WisprFlow—we save them hundreds of hours and help them build securely.We’re the fastest-growing compliance startup in the world. Backed by Insight Partners, General Catalyst, Y Combinator, and top-tier investors, we just raised our $32M Series A and are scaling quickly. Our team includes Olympiad medalists, former founders, engineers from OpenAI, Stanford, MIT, and Berkeley—and some of the most talented builders you’ll ever meet.We’re not just solving compliance. We’re redefining how machines and humans partner to turn ambiguity into action. If you're hungry to work with the best and do your life's most meaningful work—keep reading.Don’t See the Perfect Role? Build It. Some people don’t fit into boxes. They break them—and build better ones.At Delve, we hire exceptional people, not just resumes. If you're the kind of person who makes things happen—whether you’re an engineer, designer, GTM operator, GRC expert, AI researcher, or something else entirely—we want to hear from you.This is a build-your-own-role opportunity for generational talent: the kind of person who raises the bar just by showing up. If you’re brilliant, ambitious, and relentlessly resourceful, Delve is the place where you’ll thrive.What You’ll Do (or Could Do) This role is intentionally open-ended. You tell us what your superpower is and how you’ll apply it at Delve. Some examples:Build AI-native workflows that help the fastest-growing startups pass audits without lifting a fingerRedesign the way humans interface with regulatory frameworks using automation and intelligenceLead strategic initiatives that scale our GTM motion 10x faster than the marketClose complex deals with CISOs and CTOs by deeply understanding their security stackArchitect systems that process millions of records securely and reliablyDefine how we scale policy development, risk management, and evidence collection across thousands of customersPartner directly with founders on product strategy, customer acquisition, or operationsYou’ll work side-by-side with a high-caliber team across functions—and be trusted to move fast, own problems, and drive outcomes.Who You AreYou’re in the top 1% of your field—people look to you when things get hardYou’ve built, shipped, led, or invented things that most people wouldn’t even tryYou crave ownership, seek out ambiguity, and never wait for permission to actYou’re a systems thinker, a fast learner, and a generous teammateYou want to be surrounded by people who push you to do the best work of your lifeYou believe that great companies are built by a small group of exceptional people moving quicklyBonus points if you’ve founded something, medaled in a competition, published something novel, led a team, built a product users love—or just done something weird and impressive.Why Delve? Delve isn’t just a startup—it’s a rocket ship. If you’re tired of slow-moving orgs, status games, or 9-to-5 checkboxes, you’ll feel at home here. We’re building fast, dreaming bigger, and moving toward a world where compliance (and beyond) is radically easier for every company on the planet.You’ll get:A seat at the table as we redefine an entire categoryThe opportunity to solve real problems for real customers—fastA team that’s as ambitious and mission-driven as you areIn-person energy (SF HQ) or remote flexibility—your callThe comp, equity, and benefits to focus on doing your best workBenefits100% medical, dental & vision coverage (you); partial for dependents401(k) with employer matchUnlimited PTO + federal holidaysGrubHub stipend + all meals covered in-officeGym membership coveredFrequent team dinners, events, and off-sitesAnd most importantly: the opportunity to do the most meaningful work of your careerApply If You’re Exceptional We’re not trying to fill seats. We’re trying to build a legendary team. If you’ve always felt a little out of place because you were dreaming bigger or moving faster than those around you — we built this company for you.

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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleWe're not just shipping AI products—we're building ones that learn and improve autonomously. We’re looking for a Growth ML & Experimentation Engineer to build Ava’s adaptive growth brain: systems that run millions of microtests and optimize outbound performance across companies, personas, and industries.Think of this role as creating the “growth hacker” mind inside our AI BDR—combining A/B testing, reinforcement learning, and control systems at scale.You’ll be building an AI that adapts itself to every persona, every market, and every trend—without needing to be told. This isn’t growth hacking for a website. It’s evolution for an AI employee.What You'll DoDesign and implement automated experimentation systems (A/Z testing, multivariate optimization, Bayesian exploration, etc).Build dynamic systems that continuously learn from open/response rates, meetings booked, and downstream metrics. Create reinforcement loops and scoring models to help Ava adjust tone, targeting, and strategies in real-time. Work closely with product to embed experimentation directly into the AI-user experience. Develop tools to visualize and interpret campaign intelligence for internal teams and end users.What You Bring3–6+ years of experience in applied ML, ideally focused on growth, optimization, or adaptive systems.Experience with online experimentation frameworks (A/B testing infra, bandits, causal inference, etc). Strong Python and data engineering skills; comfortable working across pipelines, APIs, and backend systems. Experience working with outbound or marketing funnel data is a major plus. Passion for building intelligent systems that get better every day, without human micromanagement.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleWe're not just shipping AI products—we're building ones that learn and improve autonomously. We’re looking for a Growth ML & Experimentation Engineer to build Ava’s adaptive growth brain: systems that run millions of microtests and optimize outbound performance across companies, personas, and industries.Think of this role as creating the “growth hacker” mind inside our AI BDR—combining A/B testing, reinforcement learning, and control systems at scale.You’ll be building an AI that adapts itself to every persona, every market, and every trend—without needing to be told. This isn’t growth hacking for a website. It’s evolution for an AI employee.What You'll DoDesign and implement automated experimentation systems (A/Z testing, multivariate optimization, Bayesian exploration, etc).Build dynamic systems that continuously learn from open/response rates, meetings booked, and downstream metrics. Create reinforcement loops and scoring models to help Ava adjust tone, targeting, and strategies in real-time. Work closely with product to embed experimentation directly into the AI-user experience. Develop tools to visualize and interpret campaign intelligence for internal teams and end users.What You Bring3–6+ years of experience in applied ML, ideally focused on growth, optimization, or adaptive systems.Experience with online experimentation frameworks (A/B testing infra, bandits, causal inference, etc). Strong Python and data engineering skills; comfortable working across pipelines, APIs, and backend systems. Experience working with outbound or marketing funnel data is a major plus. Passion for building intelligent systems that get better every day, without human micromanagement.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleAva is our flagship AI employee—an outbound sales BDR that performs real work, with real results. We’re looking for a deeply technical and product-minded Applied AI Engineer to help build the core intelligence behind Ava: reasoning loops, action planning, tool use, memory, and end-to-end autonomy.You’ll be at the heart of building human-grade autonomous software agents. This is a hands-on, experimental, highly collaborative role where shipping matters.You’ll be building not just tools, but behaviors—real agents that replace full-time employees. You’ll help create not just features, but emergent intelligence. Ava is already changing how companies sell. You’ll define how far we can push her next.What You'll DoBuild and maintain agentic infrastructure: memory systems, planning modules, tool usage, and task decomposition logic.Develop robust integrations with third-party systems that Ava can reason about and act on (CRMs, email platforms, databases, etc).Design reinforcement loops, hallucination detection, and behavior tuning systems for long-term reliability.Work closely with product and design teams to prototype and productionize intelligent behaviors that feel seamless to users.Own model evaluation pipelines and instrumentation for user feedback and continuous improvement.Implement smart fallback systems to gracefully handle agent uncertainty or failure.What You Bring3–5+ years of experience in ML/AI engineering, ideally in applied LLM or agentic system contexts.Experience building end-to-end applications using modern LLM tooling (LangChain, LangGraph, or custom frameworks).Deep understanding of reasoning, prompt orchestration, and memory mechanisms.Strong software engineering skills—able to write clean, maintainable Python and backend code.Experience integrating AI models into production environments with real users.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleAva is our flagship AI employee—an outbound sales BDR that performs real work, with real results. We’re looking for a deeply technical and product-minded Applied AI Engineer to help build the core intelligence behind Ava: reasoning loops, action planning, tool use, memory, and end-to-end autonomy.You’ll be at the heart of building human-grade autonomous software agents. This is a hands-on, experimental, highly collaborative role where shipping matters.You’ll be building not just tools, but behaviors—real agents that replace full-time employees. You’ll help create not just features, but emergent intelligence. Ava is already changing how companies sell. You’ll define how far we can push her next.What You'll DoBuild and maintain agentic infrastructure: memory systems, planning modules, tool usage, and task decomposition logic.Develop robust integrations with third-party systems that Ava can reason about and act on (CRMs, email platforms, databases, etc). Design reinforcement loops, hallucination detection, and behavior tuning systems for long-term reliability. Work closely with product and design teams to prototype and productionize intelligent behaviors that feel seamless to users. Own model evaluation pipelines and instrumentation for user feedback and continuous improvement. Implement smart fallback systems to gracefully handle agent uncertainty or failure.What You Bring3–5+ years of experience in ML/AI engineering, ideally in applied LLM or agentic system contexts.Experience building end-to-end applications using modern LLM tooling (LangChain, LangGraph, or custom frameworks). Deep understanding of reasoning, prompt orchestration, and memory mechanisms. Strong software engineering skills—able to write clean, maintainable Python and backend code. Experience integrating AI models into production environments with real users.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleWe’re building the next generation of autonomous software employees—agents who don’t just assist but own workflows end to end. As our Head of AI, you’ll lead the charge in architecting, scaling, and evolving the core AI systems powering Ava and future Artisans.This is a high-impact leadership role where you’ll combine hands-on engineering, strategic technical vision, and team building to push the limits of what agentic AI can do.You won’t just manage an AI roadmap—you’ll help invent the future of work. From shipping fully autonomous agents to building adaptive learning loops across users and industries, this role is central to making Ava smarter, faster, and more valuable every single day.What You'll DoDefine and lead the technical roadmap for all AI initiatives—LLM pipelines, reasoning systems, agent architecture, and adaptive feedback loops. Build and scale a world-class team of ML, applied AI, and agentic system engineers. Architect and oversee the development of end-to-end agentic workflows—from prompt design to tool orchestration to behavior modeling. Collaborate closely with product, engineering, and design to embed intelligent behaviors throughout our user experience. Stay on the edge of LLM, RLHF, RAG, and agentic research—and drive rapid implementation of relevant innovations. Establish safety, performance, and observability standards for all AI systems in production.What You Bring6+ years of experience in ML/AI, with 2+ years in technical leadership roles (staff engineer, team lead, or higher). Deep experience working with LLMs in production (e.g., fine-tuning, prompt chaining, agent design, vector databases). Strong backend engineering skills in Python and fluency in modern MLOps and orchestration tools (MLflow, LangChain, LangGraph, etc). Proven success building and scaling real-world AI applications and systems with measurable impact. Strategic thinker with strong execution skills—comfortable making architectural decisions while staying close to the code when needed. Excellent communicator and cross-functional collaborator; comfortable aligning stakeholders and mentoring technical talent.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleWe’re building the next generation of autonomous software employees—agents who don’t just assist but own workflows end to end. As our Head of AI, you’ll lead the charge in architecting, scaling, and evolving the core AI systems powering Ava and future Artisans.This is a high-impact leadership role where you’ll combine hands-on engineering, strategic technical vision, and team building to push the limits of what agentic AI can do.You won’t just manage an AI roadmap—you’ll help invent the future of work. From shipping fully autonomous agents to building adaptive learning loops across users and industries, this role is central to making Ava smarter, faster, and more valuable every single day.What You'll DoDefine and lead the technical roadmap for all AI initiatives—LLM pipelines, reasoning systems, agent architecture, and adaptive feedback loops. Build and scale a world-class team of ML, applied AI, and agentic system engineers. Architect and oversee the development of end-to-end agentic workflows—from prompt design to tool orchestration to behavior modeling. Collaborate closely with product, engineering, and design to embed intelligent behaviors throughout our user experience. Stay on the edge of LLM, RLHF, RAG, and agentic research—and drive rapid implementation of relevant innovations. Establish safety, performance, and observability standards for all AI systems in production.What You Bring6+ years of experience in ML/AI, with 2+ years in technical leadership roles (staff engineer, team lead, or higher). Deep experience working with LLMs in production (e.g., fine-tuning, prompt chaining, agent design, vector databases). Strong backend engineering skills in Python and fluency in modern MLOps and orchestration tools (MLflow, LangChain, LangGraph, etc). Proven success building and scaling real-world AI applications and systems with measurable impact. Strategic thinker with strong execution skills—comfortable making architectural decisions while staying close to the code when needed. Excellent communicator and cross-functional collaborator; comfortable aligning stakeholders and mentoring technical talent.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the role:As a Senior Manager in Financial Services, you will be at the forefront of delivering bespoke software and AI solutions that yield significant ROI for our clients. You'll operate autonomously, engaging with C-level stakeholders, and backed by Faculty's leading technologists to transform complex industry challenges into growth opportunities. This role is potentially for you if you’re an entrepreneurial thinker, passionate about leveraging AI to revolutionize Financial Services, and you enjoy hands-on problem scoping and impactful solution delivery.What you'll be doing:Leading transformational applied AI work with a diverse client portfolioOwning and leading client engagements from initial scoping to successful deliveryActing as the crucial bridge between Faculty's technical expertise and senior client stakeholdersPositioning Faculty as a trusted advisor and effective implementer, evolving transactional accounts into strategic partnerships.Engaging with a broad network of sector stakeholders to build a coalition of support for Faculty’s initiativesDriving continuous improvement in delivery excellence by contributing innovative ideas, structure, and scalable processesIdentifying opportunities for further growth within existing client relationshipsWho we're looking for:You possess a proven ability to lead both projects and people within the Financial Services sectorYou have substantial experience leading the delivery of Machine Learning/Data Science products and/or servicesYou bring valuable depth experience as an external consultantYou demonstrate experience working with a wide range of stakeholders, up to C-level, with evidence of durable relationships and account expansionYou have in-depth knowledge of a key area within Financial Services (preference for Insurance, Asset Management, Banking, or FinTech)You thrive on distilling clarity from ambiguity and can influence effectively without direct authorityYou uphold high personal standards for delivery excellence, grasping details while seamlessly switching between strategic and commercial perspectivesWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As a Data Scientist at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About the TeamThe Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security.We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits.About the RoleWe are looking for a Software Engineer with experience developing secure backend systems that prioritize customer data protection. This role is ideal for someone who is deeply committed to the nexus of product development, security, and privacy.This position is located in San Francisco. Relocation assistance is available.In this role, you will:Design, build, and implement back-end systems that power privacy and security functions within our API products and consumer applications.Conduct threat modeling, privacy design reviews, and code-level assessments to ensure the highest privacy and security standards.Collaborate with product managers, and other engineering teams to develop new products that leverage emerging research while maintaining privacy and security integrity.Work closely with the legal team to document and evaluate internal compliance practices, ensuring alignment with legal requirements and organizational standards, and conduct thorough internal audits to maintain the highest levels of compliance and integrity.Coordinate and actively participate in privacy incident response efforts.You might thrive in this role if you:Have substantial experience in building (and re-engineering) production systems to meet legal requirements, manage increased scale, and uphold privacy and security standards.Have led or been a significant contributor to security projects, demonstrating a cross-functional collaboration skill set.Deeply care about user experience and take pride in developing products that meet customer needs whilst drawing on experience in threat modeling, secure design, and regulatory compliance.Possess a humble attitude, strong communication skills, and an eagerness to support your colleagues, reflecting a readiness to do whatever is necessary for team success.Take responsibility for problems from beginning to end, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done.About OpenAIOpenAI 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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt 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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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As a Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!In this role, you will: Own and build large new areas within our product.Work across the backend, frontend, and interact with Large Language Models.Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.Work across the entire product lifecycle from conceptualisation through production.This career opportunity may be a good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js.Experience building ML infrastructure and AI-powered solutions.Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.A track record in scaling products at hyper-growth startups.Strong written and verbal communication skills.Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain.Experience in Information Retrieval systems for document question answering.Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As a Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!In this role, you will: Own and build large new areas within our product.Work across the backend, frontend, and interact with Large Language Models.Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.Work across the entire product lifecycle from conceptualisation through production.This career opportunity may be a good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js.Experience building ML infrastructure and AI-powered solutions.Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.A track record in scaling products at hyper-growth startups.Strong written and verbal communication skills.Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain.Experience in Information Retrieval systems for document question answering.Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.   What You’ll Work On Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes. Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).   What We’re Looking For Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred. 5+ years of industry experience in ad tech, with a focus on performance optimization. Proven experience in applied machine learning, especially in CTR prediction, recommendation systems. Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering. Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).   #LI-AK1

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Maincode is building sovereign AI models in Australia. We are training foundation models from scratch, designing new reasoning architectures, and deploying them on state-of-the-art GPU clusters. This is not fine-tuning someone else’s work. This is building from first principles.As an AI/ML Engineer, you’ll be part of the team that makes this real. You’ll work on both sides of the problem: how models are trained and how they run in the world. You’ll design and build the systems that power large-scale training runs and efficient inference. You’ll work closely with our AI Researchers to implement the latest algorithms and ideas.This is a deep engineering role. You’ll be writing a lot of code, instrumenting systems, optimizing performance, and debugging weird, messy edge cases in distributed training and model serving. If you love figuring out how foundation models really work under the hood, this is your team.What you’ll doBuild and scale training pipelines for sovereign foundation models like large language models and other architecturesDesign efficient inference systems that run these models in real-world environmentsOptimize data pipelines, tokenization, batch prep, and distributed training at multi-node scaleBuild deep observability into training and inference, improving performance, correctness, and efficiencyDebug and troubleshoot the hardest parts of model training and deployment, including distributed failures, GPU bugs, data inconsistencies, and scaling limitsWork closely with AI Researchers to translate cutting-edge algorithms into working systemsEstablish strong ModelOps practices to ensure reproducibility, reliability, and continuous improvement across the full lifecycle of foundation models, from initial experiments to production deploymentWho you arePassionate about how models are built, trained, and run, especially large-scale foundation modelsDriven by curiosity about model internals, training dynamics, and system-level performanceExcited to work across both training and inference, not just one side of the ML stackSkilled in Python and ML frameworks like PyTorch or JAX. Familiarity with distributed compute (CUDA, Triton, NCCL, etc.) is a bonus but not requiredConstantly learning, whether it’s reading open-source repos, replicating research ideas, or designing your own tools to explore a problemHands-on and determined. You like writing code, running experiments, and figuring things outMotivated to help build sovereign AI capability here in AustraliaWhy MaincodeWe are a small team building some of the most advanced AI systems in Australia. We are creating new foundation models from scratch, not just using what’s already out there.We operate our own GPU clusters, run large-scale training, and work closely across research and engineering to push the frontier of what’s possible.You'll be surrounded by people who:Care about model internals, not just outputsBuild things that work, at scaleTake pride in learning, experimenting, and shippingWant to help Australia build independent, world-class AI systems

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About Augment Code The best software comes from Augmenting developers, not replacing them. We’re bringing joy back to software engineering and keeping developers in flow by building the best Developer AI, with deep contextual awareness of a company’s codebase. About the role As the Frontend Tech Lead at Augment Code, you'll help lead the design and implementation of user-facing experiences across our suite of developer tools—beginning with IDE integrations. You’ll drive critical architectural and technical decisions, guide a small team of engineers, and work in close partnership with design, AI research, and backend systems teams to shape the future of Augment’s AI-powered developer experience. What you'll do: Help lead the frontend architecture and implementation of Augment's IDE extensions and developer tools, from design through deployment. Collaborate cross-functionally with designers, AI researchers, and backend engineers to build deeply integrated and performant user interfaces. Drive UI/UX decisions based on developer workflows and feedback, ensuring our tools feel cohesive and intuitive. Collaborate with a team of AI Researchers and Systems Engineers to craft the technical direction of the Augment system Mentor engineers on frontend and integration work, and help scale the team’s technical capabilities. Help shape product direction, contributing to prioritization and planning of new features and user workflows. What we're looking for: 7+ years of experience in frontend software development, with at least 1–2 years in a technical leadership or staff+ role Expertise in modern frontend frameworks and languages (e.g., TypeScript, React, Svelte, Kotlin, Java, or similar) Experience building and shipping IDE plugins, devtools, or complex user-facing systems Strong product sense and ability to translate user needs into elegant, performant interfaces Track record of cross-functional collaboration across design, product, and backend Comfort working in fast-moving, ambiguous environments—and helping others do the same Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$225,000—$300,000 USD

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring. Responsibilities Architect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journey Build effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendation Work across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way\ Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end users Qualifications Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack Experience in training DNN and Transformer architecture models Experience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideas Understands how to make tradeoffs in using different models Self-motivated with a willingness to take ownership of tasks A passion for shipping quality products 4+ years of industry experience The cash compensation range for this role is $200,000 - $280,000. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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About the TeamOur infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-world applications. Our team ensures the right compute is available—at the right time and place—to support some of the world’s most demanding workloads. We empower all of OpenAI’s products and research by scaling the infrastructure behind them. Our work makes it possible to launch new models and products reliably and at scale.About the RoleAs a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company.You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Build and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling.Develop forecasting and optimization models to support infra planning and resource allocation.Partner with engineering, research, and product teams to shape infrastructure strategy through data.Drive clarity with source-of-truth dashboards and analyses that guide infra decisions across OpenAI.You might thrive in this role if you have:5+ years of experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems, or platform domains at a high-growth company or research orgExperience defining and operationalizing metrics that reflect system performance, resource usage, or efficiency from the ground upA strong foundation in SQL and Python, and a track record of building models and analyses that drive technical and strategic decisionsExcellent communication skills and the ability to partner effectively with engineers, researchers, and product stakeholdersA strategic mindset that goes beyond statistical testing to surface actionable insights and long-term tradeoffsYou could be an especially great fit if you have:Proven track record of operating as a data partner in large scale backend systemsComfortable navigating fast-paced execution while also anchoring decisions in long-term impactStrong programming background, with ability to run simulations and prototype variantsExperience in NLP, large language models, or generative AIAbout OpenAIOpenAI 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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt 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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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking a highly motivated and skilled Enterprise Growth Lead to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth and fostering strong relationships with potential clients. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to shape the future of enterprise AI. Responsibilities Drive new business by prospecting, pitching, and closing Perplexity Enterprise Pro solutions with large organizations Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs Conduct high-impact product demonstrations and respond to RFPs and technical inquiries Lead client engagement through the entire sales cycle—from initial presentation, technical evaluation, negotiation, to closing and onboarding Build and nurture senior-level relationships across enterprise clients, championing Perplexity’s value proposition and customer outcomes Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit Maintain up-to-date knowledge of Perplexity’s platform, industry trends, and competitor landscape Meet or exceed individual and team revenue targets on a monthly and quarterly basis Maintain accurate records of pipeline and account activity using CRM tools Qualifications 5+ years of full-cycle SaaS sales experience, ideally with enterprise-level clients Proven record of meeting or exceeding annual revenue targets in a high-growth environment Skilled at complex sales cycles, tailoring messaging to different buyer personas and decision makers Exceptional written and verbal communication; comfortable presenting to C-suite executives Adept at identifying client pain points and mapping solutions that drive business value Ability to collaborate effectively with both cross-functional teams and technical stakeholders Experience with CRM systems (e.g. Salesforce) Bachelor’s degree or equivalent experience The cash compensation for this role is $400,000 OTE (50/50 base variable) based on experience level    Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.