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Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll build the data and measurement systems that power our post-training, benchmarking, and agent capability efforts. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own synthetic data pipelines, evaluation design, the tasks and grading behind training environments, and the systems that turn feedback from domain experts into training signals and rewards. These are tasks where correctness often can’t be verified automatically, so defining and measuring quality is a core research challenge. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers who can build reliable data and evaluation systems, question what a metric actually tells us, and work closely with researchers and legal experts to turn model failures into measurable improvements. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Build synthetic data pipelines that generate, filter, and curate training and evaluation samples for complex legal reasoning and agentic workflows. - Design evaluations and verifiers that reflect real legal work, calibrate them against expert judgment, and investigate where they fail. - Build and maintain capability benchmarks like our Legal Agent Benchmark (LAB), along with product-focused evals that track how models perform on real customer workflows. - Work with legal domain experts to define quality metrics, rubrics, and other grading mechanisms for training and evaluation. - Own training and evaluation data quality, including provenance, coverage, and safeguards against contamination. - Close the loop from product usage and customer feedback to new evaluations and training data, so models improve where customers need them most. - Partner with researchers to investigate model failures, distinguish real gains from misleading metrics, and use findings to guide training and release decisions. WHAT YOU HAVE - Experience building data pipelines, ML evaluation systems, or experimentation tooling, with strong Python skills and ownership of production-quality code. - A rigorous approach to measurement, including statistical reasoning, experimental design, and understanding when a metric can mislead. - The ability to translate ambiguous goals or expert judgment into structured datasets, rubrics, and measurable criteria. - Experience with synthetic data, LLM evaluations, automated raters, or preference data is a plus. Strong data and measurement engineering experience close to ML model development is valuable even without prior LLM work. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you'll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW In this role, you’ll own how we adapt and improve leading open-weight models for legal work. We recently post-trained our first model built for legal work, and we’re now building the team to scale up our post-training efforts. You’ll own the post-training recipe across SFT and RL, including reward design and verification for challenging, semi-verifiable legal tasks. You’ll help set the research direction and carry ideas from experiments through training runs to models used by customers. You’ll join a small, high-bar team of hands-on engineers and researchers, where each person owns a large part of the work. We’re looking for research engineers and scientists who have gotten training runs working at scale, are immersed in RL for language models, and want their work to reach users quickly. Learn more about our work at harvey.ai/research http://harvey.ai/research. WHAT YOU'LL DO - Own and pursue a research agenda to improve model capability on long-horizon legal reasoning and agentic workflows. - Design and run post-training experiments across SFT and RL, building on leading open-weight models. - Develop reward functions and verifiers for semi-verifiable tasks, including rubrics, learned preference models, and expert preference data, and study where they break. - Run and debug training at scale, addressing divergence, reward hacking, and instability. - Build and use rigorous evals to track improvements and decide what ships. - Design, implement, test, and debug code across our research stack. WHAT YOU HAVE - Hands-on experience post-training LLMs with SFT and RL, including preference optimization, and direct ownership of training runs and results. - Deep ML fundamentals and experience getting distributed training runs working reliably. - Strong engineering skills in Python, with production-quality code and end-to-end system ownership. - Research experience in RL for language models or reward modeling, with the ability to move quickly from experiments to shipped improvements. Publications welcome, not required. We are hiring for this role across multiple levels. COMPENSATION $230,000 - $450,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-DZ1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA • New York, NY • United States 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 strategic, entrepreneurial Product Manager to help shape the future of Collab Tools. Collab Tools includes FigJam, Figma Slides, and Figma Specs. You’ll be at the forefront of defining how product teams plan, capture intent, and communicate: from the initial brainstorm to the functional prototype. As we integrate AI to make these workflows more intuitive and powerful, you’ll help us build the next generation of surfaces that empower teams to align and execute faster than ever. What you’ll do at Figma: Own the strategy and roadmap for one of our key products (e.g. FigJam), and help drive our vision of Collab Tools as the defacto surfaces for upstream planning and discovery. Partner deeply with Design and Engineering to ship both foundational improvements and 0-to-1 bets, holding a high bar for craft and consumer-grade quality. Synthesize quantitative, qualitative, and market signals into a sharp point of view on what to build and why. Build durable relationships across your direct team, the broader pillar, and cross-functional partners, including the executive team. Define and run agent evals defined by our vision and grounded in real user behavior to measure and improve quality, latency, and cost. Push the frontier of AI-native product development in what you ship and in how the team plans and builds. Operate your area end-to-end, from long-term strategy through launch and iteration, moving fast without dropping standards. We’d love to hear from you if you have: 5-7+ years of product management experience, with a track record of shipping meaningful, well designed, consumer-grade products at B2B companies. Comfort with ambiguity and a demonstrated ability to develop and defend a clear point of view. Hands-on experience building and shipping agentic experiences, including defining evals, designing applied AI products, and navigating tradeoffs around quality, reliability, latency, and cost. Fluency with the latest AI tools and genuine curiosity and excitement about how EPD teams are changing because of them. A track record of moving fast, even inside a larger organization. Fluency across quantitative, qualitative, and market signals to fuel prioritization and decisions. Strong communication and organizational skills at every level, from IC to executive. While it’s not required, it’s an added plus if you also have: Previous experience in an engineering or design role, deeper technical chops, or interesting side projects. Experience at both a smaller company and a more mature, late-stage or public company. 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 — $303,000 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 . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. Location: Vancouver, Canada Employment Type: Full-Time, 6-Month Fixed-Term Contract Work Arrangement: On-Site ABOUT THE ROLE We are looking for a Robotics Test & Validation Engineer to join our Vancouver team on a 6-month, full-time fixed-term contract, supporting the testing, characterization, and validation of advanced robotic components and subsystems. You will work hands-on with robotic actuators, joints, mechanisms, grippers, and dexterous robotic hands, helping ensure that our hardware meets performance, reliability, and safety requirements. Working closely with Mechanical, Electrical, Controls, and Embedded Software engineers, you will develop and execute test procedures, build test fixtures, analyze performance data, and contribute to continuous design improvements. This position offers the potential to transition into a permanent, full-time role based on individual performance, business needs, and future opportunities within the team. This is an exciting opportunity for an early-career or intermediate engineer to gain hands-on experience in robotics testing, actuator characterization, automated validation, and hardware development while learning from experienced robotics professionals. WHAT MAKES THIS ROLE EXCITING - Work hands-on with advanced humanoid robotic hardware, including actuators, joints, grippers, and dexterous robotic hands. - Develop and execute tests that directly influence the performance, reliability, and safety of next-generation humanoid robots. - Gain practical experience in actuator characterization, sensor calibration, motor control, and automated testing. - Build and improve custom test rigs and validation systems for complex electromechanical components. - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, controls, and embedded software. - See your testing and engineering insights directly contribute to real robotic hardware improvements. WHAT YOU’LL DO - Design, plan, and execute test procedures for robotic actuators, joints, mechanisms, grippers, and robotic hands, ensuring performance against engineering requirements. - Build, assemble, and maintain test fixtures, test rigs, and measurement setups for functional, dynamic, endurance, and reliability testing. - Perform actuator and sensor calibration, including encoders and motor control loops for current, velocity, and position, under the guidance of Controls engineers. - Support actuator and subsystem characterization, measuring parameters such as torque output, friction, inertia, backlash, stiffness, thermal behavior, efficiency, and backdrivability. - Develop and improve automated test procedures and hardware/software test setups to evaluate motor performance, force output, operating limits, and system reliability. - Conduct lifecycle, stress, thermal, endurance, and environmental testing on robotic components and subsystems. - Collect, analyze, and interpret test data, identifying performance trends, anomalies, and potential failure modes. - Prepare clear test reports, performance summaries, and validation documentation, communicating findings to engineering teams. - Work closely with Mechanical, Electrical, Controls, and Embedded Software engineers to identify root causes of hardware failures and support design improvements. - Collaborate with design engineers to define testable requirements, acceptance criteria, tolerances, and performance metrics. - Support incoming quality inspections, assembly-level verification, and hardware troubleshooting. - Assist with closed-loop actuator testing, evaluating system behavior, stability, and response under different operating conditions. - Maintain organized test documentation, procedures, results, and equipment records. - Contribute to improvements in testing efficiency, automation, repeatability, and validation processes. WE’RE LOOKING FOR - 1–4 years of relevant hands-on experience in robotics testing, hardware validation, mechatronics, electromechanical systems, or a related technical field. - Bachelor's degree or technical diploma in Mechanical Engineering, Electrical Engineering, Mechatronics, Robotics, or a related discipline, or equivalent practical experience. - Hands-on experience testing, troubleshooting, or validating mechanical, electrical, or electromechanical systems. - Understanding of electric motors, actuators, sensors, mechanical mechanisms, and basic control systems. - Experience working with laboratory and measurement equipment, such as oscilloscopes, multimeters, power supplies, force sensors, and data acquisition systems. - Familiarity with test procedures, data collection, performance measurements, and technical reporting. - Basic understanding of motor control principles, including current, velocity, and position control. - Experience with Python, MATLAB, LabVIEW, or similar tools for test automation, data analysis, or engineering calculations. - Ability to read and interpret mechanical drawings, electrical schematics, and technical documentation. - Strong analytical and practical problem-solving skills, with the ability to identify issues and support troubleshooting activities. - Good attention to detail when performing precision measurements, calibration, and hardware testing. - Ability to collaborate effectively with Mechanical, Electrical, Controls, and Embedded Software engineering teams. - Comfortable working in a fast-paced R&D environment with evolving hardware designs and testing priorities.   WHAT WE OFFER - Enjoy a modern Vancouver office environment with complimentary daily lunches, coffee, tea, soft drinks, and snacks. - Gain hands-on experience developing next-generation humanoid robots. - Opportunity for long-term career growth, with the potential to transition from a 6-month fixed-term contract into a permanent, full-time position. - Work directly with advanced robotic hardware and complex electromechanical systems. - Learn from a highly experienced, multidisciplinary robotics engineering team. - Contribute to real engineering projects, from prototype assembly through testing and validation. - Build valuable technical experience in a fast-paced robotics startup environment. - Join a collaborative, mission-driven team working at the forefront of humanoid robotics.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Senior Implementation Consultant on the Customer Success team, you’ll lead technical deployments and customer enablement for 1Password’s product suite, partnering with Project Managers, Technical Account Managers, and Solutions Architects to deliver successful outcomes for commercial and enterprise customers. You’ll combine hands-on configuration, project management, customer training, and technical guidance to help organizations adopt secure, effective ways of working. Your work will help customers protect access to the tools and information they rely on every day, advancing 1Password’s mission to make life easier and safer for everyone. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within Canada and the US. What we're looking for: - 5+ years of experience leading technical implementations from planning through launch, with experience in implementation consulting, solutions engineering, customer onboarding, with a proven track record of leading software deployments for large or complex organizations in a related Business-to-Business (B2B) Software as a Service (SaaS) environment. - Combine strong technical aptitude with project management experience, including managing timelines, coordinating stakeholders, tracking time, and monitoring utilization. - Configure solutions and answer complex customer questions independently, knowing when to involve the right internal partners. - Understand identity and security concepts such as identity providers (IdPs), Single Sign-On (SSO), System for Cross-domain Identity Management (SCIM), Active Directory, Mobile Device Management (MDM), and Zero Trust. - Communicate clearly with technical practitioners, senior stakeholders, and audiences with different levels of technical knowledge. - Design and deliver engaging virtual and in-person training for enterprise administrators, executives, and end users. - Use artificial intelligence (AI), automation, and workflow improvements thoughtfully to reduce repetitive work and create reusable solutions. What you can expect: - Lead the hands-on configuration, integration, validation, and launch of 1Password’s Enterprise Password Manager, SaaS Manager, Device Trust, and Unified Access. - Partner with Project Managers on implementation plans, customer coordination, timelines, and delivery risks. - Collaborate with Technical Account Managers, Solutions Architects, and Customer Success partners to understand customer environments and align technical approaches with business goals. - Manage a portfolio of active customer engagements, balancing independently led implementations with training and enablement support for Project Manager-led projects. - Deliver customized technical consultations and training sessions, including occasional onsite sessions for customers. - Translate technical concepts into clear business value and help customers adopt solutions that support their security and operational goals. - Identify risks early, drive issues to resolution, and improve playbooks, training materials, processes, and AI-powered workflows that strengthen the customer experience. - Share implementation expertise with teammates through mentoring, knowledge sharing, and continuous improvement initiatives. - Travel occasionally for customer engagements, team events, or other business needs. USA-based roles only: The annual base salary for this role is between $102,000 USD and $148,000 USD, and is commission-eligible. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $102,000 CAD and $148,000 CAD and is commission-eligible. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Stamford, Connecticut, United States About the Role iCapital is seeking an Assistant Vice President Python Developer to join the growing Core Operations Technology team. This individual will have foundational experience in Python programming and a passion for building scalable, high-performance applications. This roles collaborates with senior developers and cross-functional teams to design, develop, test, and maintain software solutions. Responsibilities Develop, test, and maintain Python-based applications and scripts. Write clean, efficient, and well-documented code following best practices. Debug and resolve issues in existing code. Collaborate with team members on code reviews, design discussions, and agile development processes. Participate in the development of REST APIs, web services, and data processing pipelines. Assist in writing unit tests and automated test cases to ensure quality and performance. Support the integration of third-party libraries and APIs. Maintain version control using Git and follow CI/CD practices. Work with Lambda functions for serverless computing tasks. Manage and interact with AWS S3 buckets for file storage and retrieval. Stay updated with emerging technologies and contribute ideas for improvements. Qualifications Bachelor's degree in computer science, software engineering, or a related field or equivalent relevant experience 5-7 years of Python development experience, including Python, web scraping tools (Playwright, Selenium), REST APIs, JSON, and Git Working knowledge of SQL and databases (PostgreSQL, MySQL), Linux and Unix environments, and web frameworks such as Flask or Django Experience with AWS services, including Lambda, S3, and serverless application development; familiar with Azure or GCP is a plus Exposure to testing frameworks such as pytest and unittest, Docker, front-end technologies (HTML, CSS, JavaScript), and Agile methodologies Strong analytical, problem-solving, communication, and collaboration skills, with attention to detail and a commitment to quality Benefits The base salary range for this role is $110,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. Location: Vancouver, Canada Employment Type: Full-Time, 6-Month Fixed-Term Contract Work Arrangement: On-Site   ABOUT THE ROLE We are looking for a Robotics Prototype Engineer to join our Vancouver team on a 6-month, full-time fixed-term contract, supporting the assembly, integration, testing, and validation of advanced humanoid robotic systems. You will work hands-on with robotic hands, arms, end-effectors, actuators, sensors, and complex electromechanical assemblies, helping bring new robotic designs from engineering concepts to functional prototypes. Working closely with our Mechanical, Electrical, Embedded Software, and Controls teams, you will support prototype builds, troubleshoot hardware issues, perform calibration, and contribute to continuous design improvements. This opportunity is ideal for an early-career or intermediate engineer who enjoys practical engineering challenges, wants to strengthen their robotics expertise, and is excited to learn from a highly experienced multidisciplinary engineering team.   WHAT MAKES THIS ROLE EXCITING - Work hands-on with advanced humanoid robotic hardware, including dexterous hands, arms, actuators, and precision mechanisms. - Gain practical experience in robotic assembly, sensor integration, calibration, and hardware troubleshooting. - Collaborate with experienced robotics engineers across mechanical, electrical, embedded software, and controls disciplines. - Contribute directly to prototype development, testing, and continuous design improvements. - Build valuable experience in a fast-moving robotics R&D environment, working on real humanoid robots.   WHAT YOU’LL DO - Assemble and integrate robotic prototypes and electromechanical systems, including robotic hands, arms, end-effectors, actuators, sensors, and mechanical assemblies. - Support prototype builds, hardware integration, and system commissioning, following engineering drawings, schematics, and assembly instructions. - Perform functional testing, troubleshooting, and validation of robotic components and assemblies. - Assist with sensor calibration and actuator commissioning, ensuring components operate according to engineering requirements. - Work closely with Mechanical, Electrical, Embedded Software, and Controls engineers to identify and resolve hardware integration issues. - Support rapid prototyping and design iterations, including mechanical adjustments, wiring modifications, component replacement, and testing. - Perform basic electrical and mechanical troubleshooting, using appropriate laboratory equipment and diagnostic tools. - Record test results, assembly observations, technical issues, and corrective actions, maintaining accurate engineering documentation. - Support routine maintenance, repairs, and upgrades of robotic prototypes and subassemblies. - Provide practical feedback to engineering teams to improve assembly processes, component reliability, and prototype performance. - Maintain an organized and safe working environment, including proper handling of specialized tools, equipment, and sensitive robotic components. WE’RE LOOKING FOR - 1–4 years of relevant hands-on experience in robotics, mechatronics, electromechanical assembly, hardware prototyping, or a related technical field. - Bachelor's degree or technical diploma in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience. - Hands-on experience assembling, testing, or troubleshooting mechanical and electrical systems. - Understanding of electromechanical components, including motors, actuators, sensors, wiring, and mechanical assemblies. - Ability to read and follow mechanical drawings, electrical schematics, wiring diagrams, and technical instructions. - Experience with soldering, wiring, connectors, cable assembly, or other precision assembly techniques. - Familiarity with basic electrical and mechanical testing equipment, such as multimeters, power supplies, and precision measurement tools. - Basic understanding of sensor integration, calibration, or actuator operation. - Strong practical problem-solving skills and a willingness to learn new technologies and engineering methods. - Good attention to detail when working with precision components and complex assemblies. - Ability to work effectively in a collaborative, fast-paced engineering environment.   WHAT WE OFFER - Enjoy a modern Vancouver office environment with complimentary daily lunches, coffee, tea, soft drinks, and snacks. - Gain hands-on experience developing next-generation humanoid robots. - Opportunity for long-term career growth, with the potential to transition from a 6-month fixed-term contract into a permanent, full-time position. - Work directly with advanced robotic hardware and complex electromechanical systems. - Learn from a highly experienced, multidisciplinary robotics engineering team. - Contribute to real engineering projects, from prototype assembly through testing and validation. - Build valuable technical experience in a fast-paced robotics startup environment. - Join a collaborative, mission-driven team working at the forefront of humanoid robotics.

Location: Remote; Ireland; Europe; United States; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE The Payments team owns how ElevenLabs charges customers: billing, usage tracking, pricing and payments across self-serve and enterprise. Everything we do has to be correct, because it underpins the company's revenue and is immediately visible to every customer and team. We are hiring full stack engineers (backend leaning) to expand and evolve our payments systems. Your responsibilities might include: - Building and maintaining usage tracking so that requests are metered accurately without impacting latency. - Leading our migration of enterprise pricing and usage processing, including new stream-processing services for usage events. - Making it easy for customers to upgrade and pay, including paying through different entities and supporting new payment providers. - Working with Finance and Tax teams to meet compliance, audit and reporting requirements. - Enabling pricing and Growth experiments with Growth and product teams. - Debugging complex customer billing scenarios: piecing together what happened from the customer's experience, logs and code, and fixing the cause. - Collaborating with Sales, FDEs, Finance and engineers across the company. Much of this work extends or replaces systems that already exist, so you will scope carefully, plan migrations, and roll changes out without disrupting customers. REQUIREMENTS We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live systems that handle money. - The ability to learn a large existing system quickly and to debug complex production issues. Bonus: - Experience with payment processing providers, or with billing and usage-based pricing systems - Experience with stream processing or high-throughput event pipelines. - Experience working with finance, tax or audit requirements. - Experience with Kubernetes. LOCATION Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Remote; Ireland; Europe; United States; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Core Platform builds the foundations every other team at ElevenLabs builds on: how users, workspaces and permissions work across our products. Our systems sit on the path of every request and are relied on by millions of users and by enterprise customers, so correctness, security and safe rollout matter as much as speed. We are hiring full stack engineers (backend leaning) for two focus areas. Depending on the team you join, your responsibilities might include: Workspaces & User Management (serving external customers) - Building and improving the building blocks customers touch directly: API keys, login experience, analytics, admin tooling, workspace security and more - Working closely with Sales, FDEs and customer teams to turn enterprise and self-serve feedback into the right improvements, and helping large customers with complex organisational structures. - Shipping customer-facing features end to end, from backend services to the admin and settings UI. Permissions & Resources (serving ElevenLabs engineering teams) - Designing and building generic resource and permissioning services that product teams use to build features safely and quickly. - Solving hard, largely greenfield problems at scale, for example how a customer with a million agents assigns and manages access. - Working across product teams to understand their needs, and driving adoption with changes that don't require every team to rework their code. In both teams you will: - Scope work as part of a large existing system: understand what exists, what could go wrong on rollout, whether a migration is needed, and how downstream teams are affected. - Roll out changes safely and with minimal disruption to existing users, teams or systems. - Debug and operate what you build, working from customer reports, logs and code. - Own features from scoping to completion, with the support of experienced engineers who are happy to mentor. REQUIREMENTS We do not require any formal experience, certifications, or degrees. Instead, we are seeking engineers who can show they have solved impressively hard problems, through past projects or GitHub contributions. We do require: - Expertise in Python. - A strong background in backend development, with comfort working across the stack where the work needs it. - Experience with common software and system design patterns and infrastructure, including APIs, cloud infrastructure tools, storage solutions and data structures. - Strong test design and security fundamentals. - Care and attention to detail when changing live, business-critical systems, and the ability to learn a large existing codebase quickly. - Comfort with ambiguity: working out what should be built, and prioritising among competing signals. Bonus: - Experience with authentication, authorization or permissioning (OAuth, SSO/SCIM, RBAC or similar). - Experience with Kubernetes. - Experience building internal platforms or services used by other engineering teams. LOCATION Our team is based across the UK, EU and US, and this is our main focus. We are flexible for exceptional candidates elsewhere. You can work remotely, or from our offices in Dublin, London, New York, San Francisco and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Intellias Meet your recruiter Diana Meneses diana.meneses@intellias.com https://www.linkedin.com... Vacancy details Test Engineering Automation Test Engineer (Python) Senior United States Office APPLY NOW REFER A FRIEND We are looking for a QA Engineer to support validation and quality assurance activities for an IVI software platform. The engineer will work closely with development, systems, requirements, and integration teams to ensure software quality throughout the software development lifecycle. The role includes test planning and execution, requirements traceability, defect management, and verification of infotainment features across software and hardware environments. This includes hands-on testing on test benches, HIL/Labcar systems, integration rigs, and target hardware, ensuring that IVI functionality meets quality, performance, and reliability requirements while aligning with automotive development processes and standards. What project we have for you Join a team developing and validating a next-generation In-Vehicle Infotainment (IVI) platform for a leading automotive OEM. The project focuses on connected vehicle services, multimedia, navigation, and user experience features. You will support software validation across cloud, bench, Labcar, and target hardware environments, ensuring high quality, reliability, and compliance with automotive development standards. What you will do Review and analyze software requirements, user stories, and acceptance criteria. Develop and maintain test plans, test cases, and test execution reports. Execute functional, integration, regression, and end-to-end testing activities. Verify traceability between requirements, test cases, and defects. Identify, document, and track software defects through resolution. Collaborate with developers, product owners, and systems engineers to ensure product quality. Support release validation and software verification activities. Participate in Agile ceremonies and quality planning sessions. Contribute to continuous improvement of QA processes, tools, and methodologies. Support compliance with automotive software development standards and processes. What you need for this 8+ years of experience in Software Quality Assurance or Software Testing. Experience in automotive software, infotainment, HMI, connected vehicle, Android Automotive, or embedded systems projects. Strong understanding of Software Development Life Cycle (SDLC) and Agile methodologies. Hands-on experience in creating and executing test cases, test plans, and test reports. Experience with API, integration, and system-level testing. Knowledge of requirements management and traceability practices. Experience with requirements management tools such as Codebeamer or similar. Experience with cloud platforms, preferably AWS, and validation of cloud-based applications and services. Experience with test automation frameworks and scripting, such as Python, Selenium, Robot Framework, Appium, Playwright, or similar tools. Familiarity with CI/CD pipelines and tools such as GitHub Actions, or GitLab CI. Strong analytical, troubleshooting, and communication skills. Bachelor’s degree in Computer Science, Engineering, or a related field. Preferred Qualifications Experience supporting software releases in large-scale automotive programs. Knowledge of ISO 26262 and functional safety concepts. Experience working in distributed, cross-functional global teams. ISTQB certification or equivalent. Working knowledge of ASPICE and automotive software development processes. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Android Automotive Python Selenium

Location: Remote Roles - LATAM; San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity The Americas Compliance team is hiring a Senior Compliance Manager to own compliance for OKXICE TSV and for the joint venture's new broker-dealer. OKXICE TSV is the tokenized securities venue run by the OKX and Intercontinental Exchange joint venture under the SEC's Innovation Exemption, and it lets eligible US users trade tokenized US-listed stocks on-chain. The joint venture is also registering a broker-dealer with FINRA. You'll be the main person accountable for meeting the exemption's ongoing conditions and for taking the broker-dealer through FINRA membership and into operation. You'll work closely with Legal, Finance, Product, Web3 Risk Control and our AML, Sanctions and Surveillance teams, as well as outside counsel and the broker-dealer's clearing firm. These are new businesses, so you'll help build the programs as well as run them. What You'll Be Doing Own the compliance program for the venue's SEC exemption, including tracking each condition, testing controls and keeping records ready for regulatory examination. Manage the venue's public notice: review revisions, control versions, and make sure the notice matches how the product actually works. This includes corrections and material-change filings within the required deadlines. Run the issuer notice process from start to finish, including tracking delivery, handling objections and confirming each stock's listing date. Track and monitor TSV limits on an ongoing basis, including per-stock and volume limits against consolidated market data, periodic tier rechecks, trading halts and eligible stablecoins. Escalate breaches, significant operational events and required SEC notifications. Oversee participant onboarding and ongoing wallet maintenance and monitoring, including KYC/KYB, daily sanctions and on-chain wallet rescreening, keeping wallet-to-participant records current, and issuing and revoking the soulbound token (SBT) credential that grants access. Lead the broker-dealer through the FINRA new membership application, including Form BD, the business plan and supporting exhibits, responses to FINRA staff requests, and the membership interview. Coordinate the evidence FINRA needs before approval, such as the officer and director structure, authorized signatories on the broker-dealer's bank accounts, bank statements, the independent auditor engagement, the clearing agreement, and flow-of-funds and demo materials. Build the broker-dealer's compliance program, including written supervisory procedures, the supervisory control system, an AML program under FINRA Rule 3310 with customer identification procedures, and books and records under SEC Rules 17a-3 and 17a-4. Once the broker-dealer is approved, run its ongoing compliance, including the annual certification under FINRA Rule 3130, supervisory control testing under Rule 3120, regulatory filings, and FINRA examinations and inquiries. Work with the Financial and Operations Principal on net capital and FOCUS reporting. What We Look For In You 8+ years of compliance experience at a FINRA-registered broker-dealer, exchange, alternative trading system (ATS) or digital asset firm, with direct experience of SEC- and FINRA-regulated activity. FINRA Series 24 (General Securities Principal) registration, or the ability to qualify within an agreed period after joining. Hands-on experience with a FINRA new membership or continuing membership application, including preparing the application and handling FINRA staff questions through to approval. Working knowledge of the federal securities laws and FINRA rules that apply to broker-dealers and trading venues, such as Regulation ATS, Regulation NMS, the net capital and customer protection rules, and market manipulation rules, plus the ability to apply them to new market structures. Experience building or running compliance programs under regulatory conditions, exemptive relief or no-action positions. Familiarity with how blockchain-based trading works, including self-custodied wallets, smart contracts, liquidity pools and on-chain screening. Strong drafting skills, with experience turning complex technical or legal detail into clear public disclosures and procedures. Sound judgment and the ability to work with Product, Engineering and Legal teams across time zones. Nice to Haves Experience with tokenized securities, transfer agents or digital asset broker-dealers. Exposure to OFAC sanctions programs and blocked property handling for on-chain assets. Experience reporting to a board or joint venture governance body. Series 14 (Compliance Official) registration. Experience working with a clearing firm under a fully disclosed clearing arrangement. A JD or a similar legal background. Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Spanaway, WA Certified Behavior Technician (CBT) | Home & School-Based ABA | Virtual Opportunities | Spanaway, WA Pay: $25.00–$28.00 per hour Join Our Mission at Empower Behavior Solutions! Empower Behavior Solutions is growing, and we're looking for compassionate, motivated Certified Behavior Technicians (CBTs) to join our team! Are you looking for a career where your work truly makes a difference? Every day, you'll have the opportunity to help children build meaningful skills, gain independence, and reach their full potential through high-quality ABA services. This position provides 1:1 ABA therapy in clients' homes and school settings. We do not provide clinic-based services. Current Opportunity We're actively growing our team in the greater Spanaway area and are hiring CBTs for current and upcoming home and school-based cases. Location: Spanaway, Washington Setting: Home and/or school-based Schedule: Flexible, based on client availability and your availability. Additional hours may be available by combining multiple client cases when schedules and locations align. Pay: $25.00–$28.00/hour Interested in eventually providing virtual services? As our virtual program continues to develop, CBTs who demonstrate strong performance, reliability, and clinical readiness may have opportunities to take on hybrid or virtual cases as they become available. What You'll Get $25.00–$28.00/hour for in-person services Opportunities for hybrid and virtual services as available Flexible scheduling Ongoing supervision and support from experienced BCBAs Professional development opportunities RBT supervision and certification support A collaborative, mission-driven team Opportunities for additional cases as they become available The opportunity to make a meaningful impact in the lives of children and families What You'll Do Provide one-on-one Applied Behavior Analysis (ABA) therapy under the supervision of a BCBA Implement individualized treatment plans and behavior intervention programs Deliver services in clients' homes and school settings Collect accurate session data and complete documentation in Rethink within 24 hours of each session Communicate professionally with families, school staff, and supervising clinicians Foster a positive, engaging, and supportive learning environment Follow all company policies while maintaining professionalism and confidentiality What You'll Need Required Active Washington State Certified Behavior Technician (CBT) certification — REQUIRED Applicants without an active WA State CBT certification will not be contacted or considered High school diploma or equivalent Experience implementing ABA programs and collecting behavioral data Reliable transportation to travel to client homes and schools Strong communication and organizational skills Compassion, patience, and a commitment to helping children succeed Willingness to provide in-person services Preferred Previous ABA therapy experience Two or more years of experience working with children Interest in future hybrid or virtual ABA opportunities About Empower Behavior Solutions At Empower Behavior Solutions, we're more than a workplace. We're a team dedicated to helping children reach their fullest potential. We value collaboration, professional growth, and creating meaningful relationships with the families we serve. We know great CBTs have options. At Empower Behavior Solutions, you'll be supported by a collaborative clinical team that values communication, professional growth, and the meaningful relationships we build with the children and families we serve. www.empowerbehaviorsolutions.net

Location: Dallas; Austin; Houston Workplace: Remote THE ROLE As an Enterprise Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for enterprise accounts in Texas. This role serves our Enterprise segment in Texas, and the ideal candidate would be based in Austin or Dallas. You'll engage with data platform engineers, architects, SRE, and the VP who owns the standard - and your job is to design something that satisfies all of them and then prove it at production scale. Getting an enterprise team there usually means moving them off something else, so most of your work is making that migration credible: the architecture, benchmarks run against their own data, and a plan their engineers believe they can execute. This is a role for engineers who want the hard version of the problem: real scale, real constraints, and an incumbent to displace. Prior pre-sales experience helps but isn't required - technical depth is non-negotiable. WHAT YOU WILL BE DOING - Own the technical evaluation for enterprise accounts - from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload. - Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard. Design solutions that hold up with all of them in the room. - Design for production scale - sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am. - Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer's own team can reproduce. - Own the migration plan - sequencing, dual-run, validation, and cutover - so the customer's team can see exactly how they get to production. - Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, and BYOC or private deployment requirements. - Partner closely with Enterprise AEs to progress and close opportunities - you own the technical win, they own the commercial close. Build the TCO case against the incumbent/competition together. - Advocate for customer needs internally with Product and Engineering - you're the voice of the technical buyer inside ClickHouse. - Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what's working. WHAT YOU BRING - Deep technical foundation in data infrastructure - built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect. - Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them. - Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load. - Fluency across the modern data stack - Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure) at architecture level. - Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard. - Customer-facing experience with real stakes - pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers. - Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon. - Comfort with longer cycles and more stakeholders. Enterprise evaluations don't close in three weeks, and you know how to keep one moving without letting it stall. - Willingness to say ClickHouse isn't the right tool for a given workload when that's true. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Warsaw, Mazowieckie, Poland Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. We are looking for a Marketing Analyst to join our Marketing Intelligence & Automation team in Warsaw. Our marketing team already uses an AI-powered decision system to recommend where budget should go. What limits it today is measurement: the sharper our attribution, marketing mix models and experiments, the more decisions we can trust it to make. Your job is to strengthen that foundation and turn marketing data into insights that change how we invest. Responsibilities: Build, maintain and improve attribution models, and support new attribution model releases. Develop and refine marketing mix models (MMM) to understand channel contribution and guide budget allocation. Design and analyze incrementality tests and experiments to measure the true impact of marketing activity. Deliver regular reporting and deep-dive analysis on channel, campaign and user performance across markets. Turn findings into clear, actionable recommendations for marketing stakeholders, linked to acquisition cost, client value and revenue. Define and document marketing metrics and KPIs so the team works from one source of truth. Improve the measurement inputs that feed our AI-driven budget recommendation and automation systems. Partner with MarTech, analytics engineering and, increasingly, Product Marketing and CRM teams on shared measurement needs. Requirements: 3–5 years of experience in marketing analytics, growth analytics or a similar role. Experience in financial services, such as trading, brokerage, fintech or banking is a must . Hands-on experience with attribution modeling and/or marketing mix modeling. Strong SQL skills and experience working with large marketing datasets. Solid understanding of statistics and experimentation, including incrementality testing. Strong critical thinking: you structure ambiguous problems, challenge assumptions and connect analysis to business impact. Ability to explain complex findings clearly to non-technical stakeholders. Nice to have: Python (or R) for analysis and modeling. Hands-on experience with Tableau (or a similar BI tool) and analytics platforms like Google Analytics 4. Experience using AI tools or LLMs for analysis or workflow automation, at work or in your own projects. What you will get in return: Competitive Salary : We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. Work-Life Harmony : Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid Annual Performance Bonus : Your hard work doesn’t go unnoticed! Celebrate your achievements with a well-deserved annual bonus tied to your performance. Generous Time Off : Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. Employee Referral Program : Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. Comprehensive Health & Pension Benefits : From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! Workation Wonderland : Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! Volunteer Days : Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.