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About the Team The CoT Monitorability team at OpenAI studies whether and when the chain-of-thought of frontier reasoning models is monitorable enough to support scalable oversight. We study how to measure monitorability , which training mechanisms affect monitorability, and speculative methods to improve monitorability. While we mostly focus on CoT monitorability at the moment, we care more generally about any form of monitorability, auditing methods, and improving alignment. We were the first to show that chain-of-thought monitoring can be a practical additional safety mechanism, and today our monitoring systems are actively used on OpenAI’s largest RL training runs to detect misbehavior. The issues we surface are then used to help improve our reward functions, environments, etc (without directly training against a CoT monitor). Our work sits in Alignment and intersects with model training, alignment evaluations, monitoring, and frontier-risk research.We care most about monitorability where the stakes are high, and about preserving useful oversight signals as models become more capable. About the Role We’re looking for a researcher with strong empirical ML expertise and a deep interest in model behavior, alignment, or interpretability. Direct chain-of-thought interpretability experience is welcome but not required; strong candidates may come from broader interpretability, alignment, model training, or investigative model-behavior work. As a researcher on the Alignment team, you will design and run experiments that improve our understanding of model monitorability. You will investigate how training interventions across the model-development pipeline influence whether reasoning remains legible, build evaluations that make those questions measurable, and help translate findings into practical oversight and training recommendations. You may also help develop new monitoring models or methods and apply them to OpenAI’s largest training runs. This role is especially well suited for someone who can move from an ambiguous model-behavior question to a concrete experimental setup: formulate the hypothesis, build the evaluation or intervention, run the experiment, analyze the result, and decide what the evidence supports. 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: Design and run empirical studies of chain-of-thought monitorability across frontier reasoning models and training settings. Build evaluations that measure whether monitors can reliably predict properties of interest, including high-stakes forms of misbehavior. Investigate how pre-training, synthetic data, mid-training, post-training, reinforcement learning, and other interventions improve or degrade monitorability. Analyze model behavior and turn observations from monitoring into hypotheses, experiments, and recommendations. Translate research findings into practical monitoring and oversight approaches that can inform real training runs. Collaborate with researchers and engineers across model training, alignment evaluations, monitoring, and frontier-risk work. Produce externally publishable research when results advance the broader science of alignment. You might thrive in this role if you: Have strong hands-on experience training, evaluating, or debugging large ML models, especially LLMs. Have deep curiosity, interest in alignment, and high agency. Bring depth in alignment, interpretability, model behavior, empirical ML, or adjacent research. Are excited to investigate chain-of-thought monitorability, monitoring methods, and scalable oversight. Can turn ambiguous research questions into measurable experiments and follow the evidence when results are subtle or noisy. Move comfortably between research ideation and engineering execution. Are curious about multiple approaches to understanding model behavior and are not committed to only one methodological lens. Operate with high independence while collaborating closely across research and engineering teams. Care about making increasingly capable AI systems more monitorable, trustworthy, and safe. 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.
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! In this role, you'll develop and deliver a scale customer onboarding experience for a high volume of customers in our commercial segments. You'll work closely with leadership to help design what scale onboarding can look like at Figma and expand our programs to support international sales teams. You will collaborate with other members of the Customer Onboarding team to inform and evolve the processes and materials for this program. Also, you will use metrics, customer feedback and direct experience to help identify new initiatives and materials needed to better engage and support our customers. You are an excellent communicator and project manager with a passion for customers and we can't wait to meet you! This is a full time role based in London. What you'll do at Figma: Own and manage scale customer onboarding programs supporting a high volume of commercial customers Partner closely with sales, marketing and enablement teams to develop and evangelize the program within the Figma organization Guide customer goals and successfully drive a high volume of customers towards onboarding closeout Partner with Marketing, Operations and Sales to build and optimize scalable customer programs Report on metrics and customer feedback to assess the impact of successful onboarding and to help identify new customer initiatives and product opportunities Develop content and enablement resources for customers to use for training/education and to help accelerate product adoption Consult on product and industry best practices to act as a trusted advisor across a high-volume book of customers, inspiring new use cases for the product We'd love to hear from you if you have: 4+ years of relevant work experience, ideally in B2B SaaS Experience managing customers through onboarding or implementation of technical products Experience working with many customers at one time and demonstrated ability to drive towards successful customer outcomes through many programs Proven time management and organization skills Demonstrated comfort speaking to customers representing different personas across both function and seniority, as well as building and leading wide scale customer webinars, in collaboration with marketing teams While it's not required, it's an added plus if you also have: Experience using or working with Figma, or other UX/UI experience You embody our values and can thrive in a constantly evolving and growing environment Proven track record of adapting to new technologies and learning quickly At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. 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 Figma's Candidate Privacy Notice .
About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're looking for a Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue. This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building a measurement function from the ground up. What You'll Be Responsible for Marketing Measurement Strategy Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels Establish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions Translate complex measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue, and efficiency targets (CAC, payback, LTV to CAC) Serve as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics Incrementality and Experimentation Design and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics Calculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocation Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams Partner with channel owners (paid search, paid social, lifecycle, website/SEO) to build and prioritize a experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy Media Mix Modeling and Forecasting Build and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation Incorporate seasonality, adstock, and saturation effects, and continuously validate model performance through backtesting and reconciliation with experiment results Turn MMM insights into budget scenarios and forecasts across channels and regions, communicated in a way non-technical stakeholders can act on Context, Tooling, and Data Integrity Own and build the context and skills that let marketing teams run accurate self-serve analytics: metric definitions, model documentation, and reusable analysis patterns, not just dashboards Use AI tools as a core part of daily work to accelerate analysis and go deeper than a traditional analyst workflow allows, and help establish AI-forward practices across the marketing org Identify gaps and inconsistencies in marketing data (tracking, spend, platform exports) and work cross-functionally to fix them at the root rather than patching around them downstream You Might Be a Good Fit If You Have 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growth Deeply understand marketing attribution, incrementality testing, and media mix modeling, and how they complement each other rather than compete Are advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling Have hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product Have built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment Have strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance Think in terms of self-service and scale: your instinct is to build tools and frameworks that make marketing teams independently capable, not to become the bottleneck for every "did this work" question Can hold technical and strategic context at once: you're as comfortable in a model's residuals as you are in a conversation about budget tradeoffs Are AI-forward in how you work: you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do Communicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation Thrive in async, autonomous environments and are energized by building a measurement function from the ground up Nice to Haves Experience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomes Experience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentation Familiarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools) What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
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! As a Customer Enablement Manager, you'll work directly with some of our largest customers to help them get the most value from the Figma platform. You'll design and deliver tailored enablement strategies that drive product adoption, help uncover new use cases, and support long-term success. In this highly collaborative role, you'll partner with various internal teams such as Account Executives, Onboarding Managers, Technical Account Managers, and Industry Advocates to deliver a seamless and impactful customer experience. Your ability to build strong relationships, connect the dots between product features and customer goals, and communicate with clarity will make you a trusted advisor and strategic partner. If you're passionate about helping customers thrive, enjoy solving complex problems, and love working at the intersection of product and customer success, we'd love to meet you. This is a full time role that can be held from our Berlin hub or remote. What you'll do at Figma: Manage the adoption journey for a portfolio of large, strategic customers Understand customer goals and success metrics, and use product data to inform proactive engagement strategies that lead to measurable value delivery Document proactive engagement strategies as part of high quality, bespoke enablement plans Share best practices, use cases, and product expertise to help teams unlock the full value of Figma Build trusted relationships with stakeholders across roles and departments - from individual contributors to senior leaders Collaborate with Account Executives on account reviews, expansion opportunities, and renewal risk mitigation Deliver live and scalable training sessions customized to customer maturity and needs Partner cross-functionally with Onboarding Managers, Technical Account Managers, Solutions Consultants, and Industry Advocates to ensure customer success We'd love to hear from you if you have: 4+ years of experience in Technical Account Management, Technical Customer Success, Customer Success, Customer Enablement, Account Management or a relevant customer-facing role in SaaS Excellent communication skills, with the ability to connect with a wide range of customer personas Strong product knowledge and a customer-first, consultative approach to solving challenges and driving adoption A track record of driving impactful outcomes, adapting to evolving customer needs, and collaborating effectively with cross-functional teams German native or bilingual proficiency While it's not required, it's an added plus if you also have: Experience using Figma or working with design and collaboration tools Background in UX/UI, Design Ops, or Frontend Development At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. 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 Figma's Candidate Privacy Notice .
About the Team The ChatGPT Learning team focuses on building the next generation of learning experiences inside ChatGPT. Learning is already one of the largest consumer use cases on the platform, with millions of people each week using ChatGPT to understand concepts, practice skills, and get unstuck while learning. Our goal is to evolve ChatGPT from a place people go for one-off answers into a platform that helps people learn, grow, and make progress over time. We are exploring how AI can expand access to powerful learning tools for people everywhere—helping individuals better understand the world, build new skills, and pursue their goals. This team sits at the intersection of product engineering, design, AI research, and education, working to bring powerful learning experiences to a global audience. About the Role As a Full Stack Engineer on the ChatGPT Learning team, you will help design and build new product experiences that enable millions of people to learn with ChatGPT. You’ll work across the stack—from user-facing interfaces to backend services—to ship product features that make learning more intuitive, engaging, and effective. You’ll collaborate closely with researchers and platform teams to bring cutting-edge model capabilities into real-world products, helping translate advances in AI into experiences that people can use every day. We’re looking for engineers who enjoy building polished product experiences, operating with high ownership, and solving ambiguous problems that sit at the intersection of AI research and consumer software. This role is based in San Francisco or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. What You’ll Do Build end-to-end product experiences that help people learn with ChatGPT. Design and implement new multimodal capabilities that bring text, images, voice, and interactive interfaces into learning workflows. Develop scalable backend services and APIs that power learning features across ChatGPT. Partner closely with product managers, designers, researchers, and other engineers to prototype and ship new ideas quickly. Improve performance, reliability, and usability of learning experiences across ChatGPT surfaces. Iterate on features using experimentation and user feedback to continuously improve the learning experience. You Might Thrive Here If You Enjoy building high-quality consumer product experiences across the full stack. Are comfortable owning features from concept to production. Have experience working with modern web technologies such as React, TypeScript, and backend services in Python, Node.js, or similar. Like tackling ambiguous problems and shaping them into clear product solutions. Care about building products that have meaningful real-world impact at global scale. Experience building interactive educational tools or learning products. Strong product engineering instincts and a high bar for UX quality. Experience with AI-powered applications or LLM-based systems. Interest in improving access to education and expanding opportunities for learners worldwide. 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.
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! We're looking for a collaborative and strategic Manager, HRIS to lead our Workday platform and a team of HRIS Specialists. In this role, you'll help shape how we leverage people technology by building scalable solutions, developing a high-performing team, and ensuring Workday continues to be a strong foundation for our people processes. You'll balance day-to-day operational excellence with longer-term improvements that help our systems and processes grow with the business. Success in this role requires deep Workday expertise, experience managing delivery across internal teams and external implementation partners, and the ability to establish effective processes for project intake, prioritization, sprint planning, and resource management. We're looking for a leader who understands how Workday connects to the broader People Technology ecosystem and is excited to evolve our systems, processes, and team as our organization grows. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead, coach, and develop a team of HRIS Specialists by building technical depth through cross-training, documentation, and shared ownership across Workday functional areas Evolve the team's operating model, including project intake, prioritization, sprint planning, capacity planning, and release management Manage work across internal HRIS team members and external implementation partners, balancing quality, speed, and cost Provide governance and technical oversight for Workday configuration, while contributing hands-on configuration for complex, high-impact, or business-critical initiatives Partner closely with People, Payroll, IT, Finance, and other cross-functional teams to understand business needs and deliver integrated solutions Identify opportunities to improve processes, automate manual work, and increase operational efficiency across the systems ecosystem Evaluate emerging technologies and features, including AI-enabled capabilities, and recommend solutions that enhance the employee and people team experience Contribute to the evolution of our broader technology ecosystem by ensuring Workday integrates effectively with the systems that support our Figmates We'd love to hear from you if you have: 8+ years in HRIS or People Technology, with deep expertise in Workday configuration across HCM, Advanced Compensation, Benefits, Payroll, Absence, and Integrations Proven success leading and developing high-performing HRIS or People Technology teams Demonstrated ownership of Workday delivery, including configuration governance, project intake, prioritization, sprint planning, and release management within a SOX-compliant environment Strong track record of managing work across internal teams and external implementation partners to deliver scalable, high-quality solutions Deep understanding of the broader People Technology ecosystem and how Workday integrates with enterprise systems, coupled with curiosity about emerging technologies and AI At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. 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 Figma's Candidate Privacy Notice .
About the Team The OpenAI 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 peoples’ lives. About the Role OpenAI Robotics depends on high-quality real-world robot data from a large, live operational environment. That environment has many deployed workcells, changing configurations, and little tolerance for downtime. We are seeking a Field Engineer to help keep that environment running well. You will own the day-to-day technical health of robotic workcells used in ongoing data acquisition operations, diagnose and resolve failures across hardware and software, and build the practical tools, documentation, and support workflows that make operators and technicians more effective. The work is close to the floor, close to the failure modes, and close to the research impact. This role sits at the intersection of software, robotics hardware, and live operations. The best people in it are practical, technically sharp, calm under pressure, and motivated by making real systems work reliably at scale. This role will be based in San Francisco, CA 5 days per week and offer relocation assistance to new employees. In this role, you will: Serve as an engineering owner for keeping a fleet of robotic workcells online in daily operation. Diagnose, fix, mitigate, or escalate issues spanning mechanics, electronics, controls, software interfaces, logs, and configuration. Partner closely with technicians, operators, and engineering teams to improve scalable fleet support processes. Build or spec lightweight hardware and software tools that improve monitoring, diagnostics, recovery, and handoffs. Create documentation, SOPs, and diagnostic playbooks that turn engineering insight into repeatable floor practice. Bring up and support prototype systems, then help transition them into scalable operations as they mature. Manage, triage, and respond to inbound tickets while maintaining clear issue history, ownership, and escalation paths. Write lightweight analysis scripts to identify fleet trends, recurring failures, and opportunities to improve reliability. Provide concise failure reports and operational feedback that help engineering teams improve system design. You might thrive in this role if you: Have 5+ years of experience supporting electromechanical, robotic, automation, or human-in-the-loop systems in production, R&D, lab, field, or operational environments. Can independently troubleshoot messy real-world failures under time pressure, where symptoms and root causes are often different. Are comfortable working across mechanical, electrical, controls, and software boundaries, including logs, configurations, and basic software debugging. Have strong organizational habits around tickets, documentation, shift-to-shift communication, and follow-through. Communicate clearly with operators, technicians, shift managers, and engineers, especially when uptime and clarity matter. Love getting hands-on with physical systems and running complex issues to ground without adding unnecessary complexity. Hold a Bachelor's degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Robotics, Computer Engineering, or a related field. Preferred qualifications Familiarity with robot middleware, motion-control stacks, Linux-based systems, service debugging, or real-time debugging tools. Experience with fleet operations, internal tools, observability, support platforms, workflow automation, or incident response. Experience troubleshooting complicated electrical assemblies, wire harnesses, instrumentation, or hardware-software integration issues. Ability to use CAD for small components, fixtures, brackets, or light modifications to existing assemblies. Experience improving operational throughput and maintainability, not just fixing isolated failures. 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.
About the Team The Monetization Data Systems team builds the trusted data and product systems that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the Role We are looking for a Senior Software Engineer to design and build the next generation of our monetization data platform. You will own high-impact platform systems end to end, from architecture and implementation through testing, deployment, observability, and ongoing operation. This is a hands-on role for an engineer who enjoys solving ambiguous customer and business problems, designing durable systems, and partnering closely with Product, Data, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into reliable, scalable product experiences and platform capabilities. In this role, you will: Design, improve, and operate reliable, scalable backend services that power pricing, billing, ads, payments, entitlements, and other monetization platform capabilities. Own the architecture and implementation of critical workflows relevant to monetization data, data contracts, and integrations across product and business systems. Establish strong guarantees for correctness, availability, security, performance, reconciliation, and auditability across business-critical systems. Build reusable platform capabilities and developer tools that enable product teams to launch, measure, and iterate on monetization products quickly and safely. Partner with Product, Design, Data, Finance, Accounting, and GTM teams to translate customer and business needs into robust technical solutions. Lead the technical design and delivery of complex, cross-functional projects, using clear system designs and RFCs to align partners before implementation and making sound tradeoffs among product velocity, scalability, reliability, and maintainability. Improve the observability and operational excellence of critical services, including monitoring, incident response, root-cause analysis, capacity planning, and long-term remediation. Mentor other engineers, contribute to architecture and code reviews, write clear documentation, and share knowledge across teams to elevate the broader engineering organization. You might thrive in this role if you: Possess a minimum of 7+ years of professional software engineering experience with deep experience building and operating production software systems, backend services, or distributed systems at scale. Are highly proficient in at least one general-purpose programming language such as Go, Java, Python, Rust, or C++, with strong computer science fundamentals. Have strong fundamentals in API design, data modeling, storage systems, distributed systems, and event-driven architecture. Have designed systems with rigorous correctness, reliability, observability, security, privacy, or access-control requirements. Can collaborate with cross-functional partners to identify needs, navigate ambiguity, and drive progress from problem definition through delivery. Bring a product-oriented mindset and communicate clearly with technical and non-technical partners, translating customer and business problems into simple, scalable system designs. Care deeply about correctness and operational reliability while maintaining a practical bias toward delivering customer and business value. Bring a strong sense of engineering excellence, using clear thinking, sound judgment, and a design-before-implementation approach to create maintainable systems. Command strong sense of engineering excellence, contribute to a design-before-implementation approach with clear documentation, and knowledge sharing across teams to elevate the broader engineering organization. Nice to have: Experience with monetization, pricing, billing, ads, payments, entitlements, subscriptions, or other financial products. Familiarity with financial correctness, reconciliation, compliance, or audit requirements. Experience with high-scale distributed systems, transactional workflows, event streaming, or payment infrastructure. Experience building internal platforms, shared frameworks, APIs, or developer tooling used by other engineering teams. Monetization or finance domain experience is helpful but not required. We value strong software engineering judgment, systems thinking, and the ability to learn a complex domain quickly. 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.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: This early-career Notino Experience Program Manager role is for a builder who thrives in ambiguity and turns it into momentum. You’ll wear many hats across the People team, but your core job is to jump in, chart the path, and drive high-impact projects based on business priorities—bringing clarity, aligning cross-functional partners, and executing quickly so the team can deliver meaningful employee experiences across EMEA and APAC. You’ll succeed here if you’re deeply curious, eager to grow, and excited to hone your craft in People. This is a launchpad opportunity to learn from strong leaders, build expertise across the full spectrum of People work, and help shape moments that matter—bringing energy, optimism, and genuine care for people while helping build a workplace where everyone can do the best work of their careers. As the regional anchor for how Notion’s global people & environment programs come to life outside the U.S., you’ll sit at the intersection of global vision and local execution. Based in Dublin and reporting to the Notino Experience & Environment Lead for APAC & EMEA, you’ll partner closely with the Global Experience Programs team in AMER and environment teams across Dublin, Sydney, Tokyo, Seoul, and Hyderabad—translating global programs into locally relevant, high-quality experiences and building the operational infrastructure to deliver them consistently at scale. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Own regional program operations. Take end-to-end ownership of key people programs across EMEA and APAC — from onboarding and performance cycles to engagement surveys and talent retention initiatives. You'll research, plan, launch, and iterate. Bridge global and local. Act as the connective layer between the Global Experience Programs team and on-the-ground environment teams. You'll translate global frameworks into locally relevant experiences. Build the infrastructure. Create processes, playbooks, and agents that make local execution easier and more consistent across markets. Think onboarding workflows, program calendars, and repeatable delivery frameworks. Elevate Affinity Groups. Partner with Affinity Group leads across the region to strengthen their programmes, provide operational support, and help surface retention and engagement insights from within those communities. Use data to drive decisions. Build and maintain dashboards that track program health, adoption, and outcomes. Use what you learn to run experiments, course-correct quickly, and demonstrate ROI. Partner cross-functionally. Work closely with People Partners, NoE , Recruitment and business leaders to align people programs with organisational goals and ensure an inclusive, well-supported employee experience. Champion the Notion Experience. Help craft and bring to life a more distinct Notino Experience brand across EMEA and APAC — reimagining how we work, how we connect, and what it feels like to be a Notino in your region. Skills You'll Need to Bring: Programatic: experience running people programs end-to-end, across multiple markets & time zones. AI-native mindset: you’re “AI‑pilled” in the best way: you proactively use AI tools to speed up research, ops, and communication, and you’re excited to build AI agents/playbooks. Project management: strong skills and the ability to hold many moving pieces. Stakeholder trust: you build trust naturally across levels, from team members to executive partners. Bias toward action: you’re resourceful, scrappy when needed, and energised by a fast-moving environment. Change management: experience driving change at a high-growth company — you know how to bring people along, not just roll things out. Executive presence: you’re comfortable presenting to and partnering with senior leaders. Nice to Haves: Familiarity with or enthusiasm for Notion Experience working across APAC and EMEA markets, with an understanding of cultural nuance in employee experience. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €60,000 - €70,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About the Team The OpenAI Audit Team is on a mission to build the future of internal audit from the ground up. Our ambition will be powered by a high-energy, technically exceptional team with the judgment, intellectual curiosity, and creativity to harness the latest advances in AI and design a truly next-generation audit function. As AI reshapes how work is performed across the enterprise, Internal Audit will use AI, automation, and data analytics to identify and assess the most significant and emerging risks across the business, including technology, cybersecurity, finance, compliance, operations, and data. We will build trusted partnerships at every level—from the Board of Directors and senior leadership to the teams delivering on OpenAI’s mission every day. We will operate as both an independent assurance provider and a trusted advisor, bringing an objective and pragmatic perspective to critical decisions. By engaging closely with management while preserving our independence, we will help the business innovate responsibly, move with confidence, and manage risk without creating unnecessary barriers. About the Role As the Finance & Operations Audit Leader, you will help shape the strategy, methodology, technology, and culture of a new audit function. You will lead complex audits, forensic and investigative reviews, and advisory work across financial reporting, accounting, finance, and business operations, while addressing related compliance risks. You will advise leaders on practical ways to strengthen governance, execution, accountability, and risk management. You are an experienced, hands-on professional who combines deep finance and accounting knowledge with strong audit, risk, and business judgment. Your work will span across finance & accounting areas including treasury, tax, revenue, financial planning, business operations, and enterprise governance, with opportunities to apply forensic accounting techniques to complex transactions, anomalies, and potential misconduct. You will move comfortably between executive-level governance questions and detailed examination of financial records, processes, controls, and transaction-level data. You will understand how risks intersect across functions and form clear, well-supported conclusions in fast-moving or ambiguous situations. You will have meaningful influence over how the function develops, including how we apply AI, automation, and analytics to financial and operational risk assessment, audit planning, testing, continuous monitoring, and reporting. This is an opportunity to help build a state-of-the-art capability rather than inherit a traditional audit model. 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: Lead risk-based audits and advisory reviews across finance, accounting, and business operations, with related compliance risks considered as part of an integrated risk assessment. Assess the governance and oversight of financial management and critical business operations, including major enterprise programs, third-party relationships, and operational resilience. Evaluate financial processes and controls across financial reporting, accounting, treasury, tax, revenue, procurement, payroll, expense management, and financial planning, with a focus on accuracy, integrity, scalability, efficiency, and resilience. Conduct or support forensic accounting and investigative reviews involving unusual transactions, fraud indicators, control circumvention, or other financial irregularities, and develop clear, evidence-based conclusions. Evaluate operational processes and relevant compliance obligations, including risks arising from new products, markets, partnerships, organizational changes, and the use of AI in financial and operational workflows. Use data analytics, automation, and AI to improve risk assessment, scoping, testing, continuous monitoring, and reporting, including analysis of transaction populations, anomalies, control weaknesses, and emerging risks. Translate complex financial and operational observations into clear business implications and practical, timely advice that supports innovation, growth, accountability, and effective risk management. Build trusted relationships across Finance, Accounting, Operations, Legal, Compliance, and other teams; support clear reporting to executive management, regulators, and the Board; and monitor relevant accounting, regulatory, and industry developments. Coach colleagues, share finance, accounting, and audit expertise, and contribute to a culture of high standards, sound judgment, curiosity, ownership, and continuous learning. You might thrive in this role if you have: 10-12+ years of relevant experience in internal audit, public accounting, corporate finance or accounting, forensic accounting, operational audit, or a related field. Deep expertise in financial reporting, accounting, and internal controls, with strong knowledge of several areas such as treasury, tax, revenue, procurement, payroll, expense management, or financial planning. Demonstrated experience leading complex financial and operational audits from risk assessment and scoping through testing, reporting, remediation, and issue validation. Experience with forensic accounting, investigations, fraud risk, or transaction-level data analysis is highly valued. A strong understanding of data and AI risks—including data quality, lineage, governance, access, and analytics—plus experience using automation or AI-assisted techniques in audit, finance, accounting, or control testing. The ability to understand end-to-end business processes, analyze incomplete or conflicting financial and operational information, ask incisive questions, and reach well-supported conclusions. The confidence to challenge constructively, communicate complex issues clearly to executives, and collaborate across Finance, Accounting, Operations, Legal, Compliance, Product, and senior management. A relevant bachelor’s degree or equivalent practical experience, together with the initiative, curiosity, and adaptability to build a new capability in a fast-moving environment. A CIA or CPA credential—or a comparable internationally recognized audit or accounting qualification—is strongly preferred. 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.