AI Product & Operation Jobs

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:We are seeking a Senior Software Engineer - Network to support webAI’s Public Sector initiatives focused on secure, distributed, and resilient AI infrastructure. This role involves deep systems level engineering across Rust, Go, Swift, Python, and C++ environments to integrate our distributed AI technology into complex, security sensitive networks used by government and enterprise customers.You will design and implement advanced synchronization and networking systems that enable reliable AI operations across heterogeneous environments, from edge devices to cloud isolated government systems, while upholding the highest standards of performance, reliability, and data privacy. Responsibilities:Design, build, and maintain production grade distributed and decentralized systems for secure AI deployment in government environments.Develop and integrate Rust based networking and data synchronization components with systems written in Go, Swift, Python, Java, and C++.Implement and optimize network protocols and routing mechanisms, including NAT traversal, VPNs, and multi protocol mesh topologies.Architect robust data synchronization frameworks using content addressable storage, Merkle trees, CRDTs, and erasure coding.Develop cross platform networking solutions for iOS, Android, and heterogeneous device environments.Lead performance tuning, debugging, and optimization of distributed software under resource constrained and intermittent connectivity conditions.Ensure security first design through threat modeling, secure key management, and integration of cryptographic primitives and protocols.Collaborate with MLOps, Infrastructure, and Security teams to deploy and integrate AI components in restricted or air gapped systems.Contribute to cross functional architectural design discussions and documentation for internal and external (public sector) stakeholders.Maintain rigorous testing, observability, and validation practices to ensure system reliability and compliance readiness.Qualifications:Active US Security clearance or eligibility and willingness to obtain a US Security clearance5+ years of professional experience Strong proficiency in Rust, with experience bridging Rust to other languages (Go, Swift, Python, C++, or Java) via FFI or APIs.Deep knowledge of networking protocols and architectures, including routing, NAT traversal, mesh networking, and multi protocol support.Proven experience with data synchronization and distributed consensus techniques, such as Merkle DAGs, CRDTs, and content defined chunking.Strong algorithmic and data structure skills, especially for distributed or networked environments.Experience building software for cross platform and mobile environments (iOS, Android) with attention to performance and power constraints.Expertise in security first design, including encryption, key management, and mitigation of adversarial threats.Experience with applied cryptographic protocols and offline first or intermittently connected system design. Preferred SkillsExperience with peer to peer or decentralized networking frameworks.Familiarity with federated learning, privacy preserving AI, or edge based computation.Exposure to government compliance and security frameworks (e.g., FedRAMP, NIST 800 53, DISA STIGs).Experience in cross team collaboration on complex, multi language systems.Strong technical writing and communication skills for documentation and collaboration with security cleared teams.We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match (US-based only)$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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About the TeamThe OpenAI developer platform enables organizations of all sizes—from startups to enterprises—to power their products and experiences with AI. As a member of the Platform Product Marketing team, you will be responsible for developing marketing strategies that drive adoption of OpenAI’s APIs, developer tools, and models among developers and businesses. This includes making sure we are building and launching the right products for our customers, deeply understanding our customers and the competitive landscape, thinking strategically about how we bring new products to market, leading cross-functional teams in launch planning, and tracking post-launch metrics and customer feedback. This role offers the unique opportunity to shape the way we position and launch AI technology to the world.About the RoleAs a Product Marketing Manager, Developer Platform, you will define and execute go-to-market strategies that accelerate adoption of OpenAI’s developer platform across developers and technical decision makers. You’ll partner closely with Product, Engineering, GTM, and Developer Experience teams to craft compelling narratives, plan high-impact launches, and drive sustained growth across our API offerings.This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.In this role, you will:Act as a business owner by partnering with Product, GTM, Developer Experience, and Data Science teams to track usage and revenue, identify business challenges, and design compelling strategies to drive growth.Lead go-to-market planning and execution for new API products and features—defining positioning, messaging, and integrated marketing plans that resonate with both developer and technical decision maker audiences.Deeply understand our products, customers, and the competitive landscape to inform product direction and go-to-market priorities.Create enablement materials and product training to equip GTM teams with the knowledge and context needed to effectively communicate value and drive adoption.Drive post-launch growth by developing and executing marketing experiments, adoption campaigns, and retention strategies that translate launches into long-term business impact. You might thrive in this role if you:Have experience in product marketing for API platforms for developers and technical decision makers across startups to enterprises.Are skilled at translating complex, technical products into clear, compelling narratives that resonate with technical audiencesExcel at building cross-functional alignment across Product, Engineering, and GTM teams.Keep a close pulse on the AI industry and have a sense of what developers and businesses are looking for in APIs and AI modelsThrive in a fast-paced, ambiguous environment and are motivated by bringing new technology to market.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.About the RoleWe’re looking for an experienced Software Engineer to help build the core infrastructure behind OpenAI’s monetization and ads systems. In this foundational role, you’ll architect and implement distributed systems that power OpenAI’s monetization stack—focusing on reliability, performance, privacy, and large-scale operation.You’ll work across backend, systems, and platform layers to define and implement 0→1 infrastructure, partnering closely with Product, Design, and Research to shape the future of monetized AI experiences. Your work will enable both internal and external teams to build on safe, scalable, and robust monetization primitives.This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.In this role, you will:Design and build the foundational backend and infrastructure powering OpenAI’s monetization and ads systemsArchitect large-scale distributed systems that meet strict requirements for reliability, privacy, security, and performanceDevelop APIs, infrastructure services, and internal platforms that support ads creation, delivery, measurement, and optimizationWork closely with Product, Research, and Design to translate requirements into scalable technical solutionsDrive 0→1 infra development through rapid prototyping, experimentation, and iterative improvementsContribute to the long-term technical strategy and roadmap for the monetization infra stackEnsure high engineering rigor through excellent testing, documentation, observability, and operational best practicesBuild for safety, privacy, fairness, and policy alignment from first principlesCollaborate across engineering orgs to ensure the infra layer is flexible, performant, and resilient You might thrive in this role if you:Have 10+ years of experience building and operating large-scale distributed systemsHave experience designing mission-critical systems with demanding reliability, performance, and correctness requirementsThink in systems—architecture, data flows, operational concerns, observability, and long-term maintainabilityAre comfortable defining technical direction in ambiguous 0→1 environmentsEnjoy working cross-functionally to shape product requirements and system capabilitiesCommunicate clearly, reason holistically, and make decisions grounded in user needs and long-term system healthBonus: Experience in ads systems, marketplaces, AI/ML infra, or other monetization-intensive domainsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.About the RoleWe’re looking for an experienced Engineering Manager to lead a high-performing team that will build the core monetization and ads systems at OpenAI. This is a foundational role responsible for hiring, developing, and leading a world-class engineering team while shaping the technical strategy and execution for one of the company’s most impactful new initiatives.You’ll own the roadmap for 0→1 monetization infrastructure, to build the most robust, safe, and scalable platform for creating, managing, and running ads. You will collaborate deeply with product, design, and research to define the future of monetized AI experiences—and ensure these systems uphold OpenAI’s highest standards for safety, privacy, and policy alignment.This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.In this role, you will:Build, lead, and develop a diverse, high-performing engineering full-stack teamDefine and own the technical strategy, roadmap, and execution plan for OpenAI’s core monetization and ads systems. Specifically build APIs and advertiser facing products that help them create, manage and measure their ads.Create integrations with partners and create enterprise class products.Guide the architecture of products and systems that operate at massive scale and require high usability, reliability, privacy, and performance.Collaborate with Product, Research, and Design partners to define product requirements, evaluate tradeoffs, and bring new experiences to marketDrive 0→1 product development through rapid prototyping, experimentation, and iterative deploymentEnsure your team operates effectively, maintains high engineering rigor, and consistently delivers against ambitious goalsCoach and mentor engineers to elevate their impact and grow to their full potentialBuild processes and culture that enable fast learning, high trust, and responsible innovationEnsure all monetization systems meet the highest standards for safety, privacy, fairness, and policy complianceYou might thrive in this role if you:Have 7+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environmentsHave 10+ years of experience building consumer, enterprise, or ads products at large scaleHave a track record of building and scaling critical products with strong usability, reliability, performance, and safety constraintsAre skilled at defining technical roadmaps, setting long-term direction, and navigating ambiguous product spacesCare deeply about people leadership, coaching, and helping engineers achieve peak performanceBring strong product intuition and can work across Product, Design, and Research to shape new user experiencesThrive in 0→1 environments where strategy, architecture, and execution all need to be defined from scratchCommunicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainabilityBonus: Bring experience collaborating in ads systems, marketplaces, or other monetization-heavy domainsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.About the RoleWe’re looking for an experienced Engineering Manager to lead a high-performing team that will build the core monetization and ads systems at OpenAI. This is a foundational role responsible for hiring, developing, and leading a world-class engineering team while shaping the technical strategy and execution for one of the company’s most impactful new initiatives.You’ll own the roadmap for 0→1 monetization infrastructure, to build the most robust, safe, and scalable infra. You will collaborate deeply with product, design, and research to define the future of monetized AI experiences—and ensure these systems uphold OpenAI’s highest standards for safety, privacy, and policy alignment.This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.In this role, you will:Build, lead, and develop a diverse, high-performing engineering team working across backend, full-stack, and systems engineeringDefine and own the technical strategy, roadmap, and execution plan for OpenAI’s core monetization and ads systemsGuide the architecture of distributed systems that operate at massive scale and require high reliability, privacy, and performanceCollaborate with Product, Research, and Design partners to define product requirements, evaluate tradeoffs, and bring new experiences to marketDrive 0→1 product development through rapid prototyping, experimentation, and iterative deploymentEnsure your team operates effectively, maintains high engineering rigor, and consistently delivers against ambitious goalsCoach and mentor engineers to elevate their impact and grow to their full potentialBuild processes and culture that enable fast learning, high trust, and responsible innovationEnsure all monetization systems meet the highest standards for safety, privacy, fairness, and policy complianceYou might thrive in this role if you:Have 7+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environmentsHave 10+ years of experience building, scaling, and operating distributed systems at large scaleHave a track record of building and scaling critical systems with strong reliability, performance, and safety constraintsAre skilled at defining technical roadmaps, setting long-term direction, and navigating ambiguous product spacesCare deeply about people leadership, coaching, and helping engineers achieve peak performanceBring strong product intuition and can work across Product, Design, and Research to shape new user experiencesThrive in 0→1 environments where strategy, architecture, and execution all need to be defined from scratchCommunicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainabilityBonus: Bring experience collaborating in AI/ML, ads systems, marketplaces, or other monetization-heavy domainsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamOur Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives.About the RoleAs the Robotics Lab Manager & Technician, you will run the beating heart of our prototyping environment. You’ll build mechanical assemblies, wire up harnesses, bring up subsystems, and help debug early-stage robots—turning ideas into working physical systems. Partnering closely with mechanical, electrical, and software engineers, your work will shape how quickly the team can learn, iterate, and push the boundaries of what our robots can do.This role is based in San Francisco, CA, and requires in-person presence 5 days a week. In this role you will:Lead the robotics hardware prototyping lab:Manage, maintain, and use lab equipmentManage prototype part inventoryDevelop and implement processes for lab work tracking and executionManage small-volume builds and rework campaigns across robotic systems and componentsBuild, debug, and modify robotics assemblies, including those with structural parts, gearing and actuatorsBuild complex assemblies combining sensors, structural elements and power elementsBuild, modify, and rework electrical wire harnesses, complex PCB assemblies, including soldering reworkOperate in-house and off-the-shelf software tools for interacting with equipment and prototype partsCoordinate with external vendors for maintaining lab inventory and support builds You might thrive in this role if you:Have 6+ years of hands-on experience with electromechanical or robotic systems and enjoy rolling up your sleeves to build, test, and debug.Are skilled with tools such as multimeters, soldering irons, hand tools, and basic test equipment.Can interpret schematics, wiring diagrams, and mechanical drawings with confidence.Are comfortable owning experiments end-to-end—from setup, execution, and data captureMaintain a high bar for craftsmanship, organization, and lab discipline.Communicate clearly with cross-functional engineering teams and collaborate effectively in fast-paced environments.Have familiarity with IPC electronics rework standards and are comfortable reworking complex PCB assemblies and wire harnessesAre comfortable with the Linux command lineHold a degree in electrical engineering, mechanical engineering, or a related field, or possess equivalent practical experience.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Senior Backend Engineer, Applied AIWhy Clarium?Our mission is to accelerate healthcare transformation through our AI-powered platform. We strive toward a future where hospitals are at the cutting edge of technology, operations and efficiency. Healthcare workers are inundated with endless tasks, manual processes and often unintuitive tools. Clarium is transforming healthcare by empowering providers with AI-powered software with intelligent workflow automation and actionable insights.We envision a future where all hospitals leverage our collaborative data platform to automate their daily operational and administrative tasks, only surfacing high complexity issues that truly require their expertise.We're backed by some of the biggest and most innovative investors in the world including: Northzone, General Catalyst, AlleyCorp, 1984 Ventures, Alumni Ventures, and others.Role OverviewI'm Dr. Marek Sirendi, Head of AI at Clarium! Since this role will work closely with me, rather than a generic job description, I thought I'd tell you exactly what I'm looking for.As we continue scaling our AI capabilities, I'm looking for a Senior Backend Engineer to join our Applied AI team. You'll collaborate with engineering, data, and product teams to build secure, scalable, and high-performance AI applications that improve healthcare supply chain operations with data-driven insights. This is an opportunity to have real impact, building systems that directly help healthcare providers work more efficiently.ResponsibilitiesArchitect and develop robust backend systems to integrate with proprietary LLM APIsTake ownership of critical system components, from backend APIs to AI agent implementationDesign and develop scalable back-end services using Python and FastAPICollaborate with internal product managers and customers to align product development with real-world needsRequirementsDemonstrated experience in building and deploying AI applicationsUnderstanding of backend architecture principles and AI application design best practicesExperience working with RESTful APIs and integrating third-party servicesStrong understanding of database technologiesSelf-motivated with excellent problem-solving and communication skillsNice-to-HavesSupport infrastructure management using Kubernetes and TerraformPrior experience at an early-stage startupSkills and Tools You Will UseNeed to Know:Python, FastAPI, SQL, RESTful APIsNice to Know:LLM APIs (OpenAI, Anthropic), Kubernetes, TerraformWhat Success Looks LikeAt Clarium we love to outline a 90-day success plan in our Job Descriptions but understand this can of course change based on company priorities or the person we hire. We hope this will at least give you an idea of what to anticipate.At 1 Week:Complete onboarding, meet the team, and understand our codebase architecture and AI systems.At 1 Month:Ship your first feature or improvement to our AI backend systems. Participate actively in sprint planning and code reviews.At 3 Months:Own a significant component of our AI infrastructure. Demonstrate impact through measurable improvements in system performance, reliability, or capability.What You Get At ClariumIncentive Stock Options proportionate to salaryFully remote workUnlimited PTOTop-tier health, vision, and dental benefitsOur Hiring ProcessApplyWe read every application and make our best effort to reply to everyone. Please read the job description carefully. We love when people strive but if you do not meet more than 75% of the requirements, we are less likely to respond. Please take your time on any application questions—we view them as your opportunity to stand out.Exploratory InterviewGoal: High-level qualifications & mutual fit. 30-minute video interview with a team member who knows the product and role well. We make sure to preserve 10 minutes for your questions.Hiring Manager InterviewGoal: Deeper understanding of team needs and your qualifications. 60-minute video interview with the hiring manager. You will get a general idea of topics in advance.Technical Interview and Values InterviewGoal: Deep dive into your skills, knowledge, and problem solving. 1-hour technical exercise. This is a realistic interview with no abstract puzzles. We will send you information in advance and do a live exercise together. Screen sharing is expected.Values Goal: Meet more of the team and understand what values are important to you. 60-minute video interview with 2 team members. We will provide guidance in advance.CEO InterviewGoal: Spend 30 minutes getting to know our CEO to help decide if this is a great mutual fit for everyone involved.

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About ElevenLabsElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the roleAs a Forward Deployed Engineer Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Strategists to deploy our voice AI technology against the most challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be.No two days are the same, but as a FDE Strategist you can expect to:Meet with strategic customers to understand their critical audio and voice AI needs and locate their biggest pain points.Identify relevant use cases through deep engagement with customer problems and workflows, and work with Engineers to implement our voice and audio AI technology into innovative solutions.Design and architect bespoke integrations for customers, ensuring our technology fits seamlessly into their products and operations.Guide customers on best practices for implementing our voice and audio AI models to maximize their effectiveness.Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives.Collaborate with our Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models.Build and deliver compelling demos of our voice and audio AI technology to new and existing customers.Scope out potential applications in new industries and expand our AI solutions across different sectors globally.Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions.Collaborate daily with our customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.RequirementsExperience working with customers in a technical capacity. It's ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them.Basic proficiency in Python and understanding of API integration to implement scripts and help with prototyping/demo building.Excellent communication and problem-solving skills, especially in terms of ability to summarize complex technical concepts and using logic in pursuing optimal solutions.A proven track record of taking ownership of complex projects and delivering results.Adaptability to work across different customer environments and technical use cases.Technical aptitude to quickly understand our voice and audio AI models and their applications.#LI-remote

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Join our team as a Forward Deployed Engineer and thrive at the intersection of advanced AI engineering and real-world enterprise problem-solving. Your skills will translate complex multimodal agentic AI, LLMs, and machine-learning architectures into clear, compelling business value. In this role, you will enjoy working directly with customers to design AI systems that see, hear, read, reason, decide, and act. Join us at an exciting moment, wear many hats, and help us build something from the ground up!This role is based in Singapore and covers customers and partners across Asia Pacific.As a Forward Deployed Engineer, you will:Technical Presales & AI Solution Architecture:Lead technical discovery with customers to understand their business challenges, data environment, infrastructure landscape, and operational workflows.Architect end-to-end multimodal agentic AI solutions involving:LLMs, Vision models, Speech modelsRAG pipelinesRealtime perception–decision–action loopsAgent frameworks, planning, tool-use, and orchestrationIntegration with enterprise APIs, databases, security systems, VMS, IoT, MDM, or existing appsConduct PoCs, benchmarks, and A/B evaluations, producing clear documentation on metrics, model performance, constraints, and ROI.ML/GenAI Engineering, Model Customization & Fine-Tuning:Work closely with customer data teams to gather, clean, and preprocess multimodal datasets (text, images, audio, video, sensor data).Build and optimize:Custom LLM prompts & prompt-chainsFine-tuned LLM/vision modelsDomain-specific embedding modelsCustom scorers, loss functions, and evaluation metricsAdvise customers on LLMOps best practices, including lifecycle management, scalable APIs, agent reliability, function-calling strategies, and safety guardrails.Agentic AI & Multimodal Capabilities Evangelism:Demonstrate how Reka’s multimodal models can:Interpret CCTV, documents, screens, emails, speech, logsCombine perception with reasoning + actionIntegrate with enterprise tools to perform tasks autonomouslyHelp customers understand advanced concepts such as:Tool-use and planningMulti-agent workflowsKnowledge grounding and retrievalChain-of-thought vs distilled reasoningObservability and telemetry for AI agentsCustomer Enablement, Workshops & Technical Training:Design and run workshops for audiences ranging from business leaders to data scientists.Train customers on:AI fundamentalsMultimodal modelsDeployment patterns (on-prem, cloud, hybrid, air-gapped)Reka platform usage, APIs, SDKs, and agent creationProduce sample notebooks, reference architectures, code snippets, reusable templates, and best-practice guidelines.Internal Collaboration & Product Feedback:Work with product, engineering, and research teams to influence the roadmap based on customer needs.Contribute internal prototypes, demos, agent frameworks, or tools that improve presales velocity.Assist in competitive analysis (vs OpenAI, Anthropic, Gemini, AWS, Mistral, local APAC AI vendors).You may be a good fit, if you have:Technical Expertise3–6+ years hands-on experience in AI/ML engineering, presales, solution architecture, or applied ML roles.Strong proficiency in:PythonML frameworks (PyTorch/TensorFlow/JAX)LLM frameworks (LangChain, LlamaIndex, DSPy, OpenAI/Anthropic/Mistral APIs)Model serving (FastAPI, Triton, Ray, vLLM, Ollama, MLFlow)Solid grounding in:Machine learning fundamentalsVision models (object detection, action recognition, OCR, VLMs)Speech-to-text/voice modelsMultimodal fusion techniquesDistributed training & inference optimizationDeployment / Architecture KnowledgeFamiliar with enterprise infrastructure:Kubernetes, Docker, API gatewaysData lake / warehouse technologiesCloud platforms (Azure, GCP, AWS)On-prem GPU servers (NVIDIA, HPE, Supermicro, Dell)Understanding of ML security, compliance & governance:RBAC, audit logs, data residencyPre/Post-production model monitoringDrift detection, bias, safety guardrailsPrivacy-preserving ML, PII redaction, access controlAI Engineering & Agentic Workflow UnderstandingExperience with:RAG pipelines (vector DBs, embedding tuning, hybrid search)Multi-agent systems or agent tool-useFunction calling, workflow orchestrationLLMOps / ModelOps best practicesKnowledge of GenAI fine-tuning techniques:SFT, LoRA, QLoRA, DPOVision model tuningDataset curation & augmentationSoft Skills & Business CommunicationExceptional communication, storytelling, and presentation skills.Ability to simplify complex technical concepts for business stakeholders.Strong consultative problem-solving mindset and customer empathy.Comfortable leading executive presentations, technical workshops, and live demos.Strong cross-functional communication and problem-solving skills.The ability to build in a fast-paced environment under some uncertainty.A kind and collaborative nature and work style.Reka's MissionReka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade. Why Reka?An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. 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. With 700+ customers in 58+ countries, 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 is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey is trusted by the leading law firms and in-house teams to help them harness AI. We work closely with Innovation and Knowledge teams to plan and execute AI transformation efforts.Our Legal Innovation Partners provide strategic counsel to Innovation leaders as they define and execute AI transformation within their organizations. They represent Harvey within this Legal Innovation community and foster the strategic and product insights that help Harvey serve this community better.What You’ll DoAdvise innovation and knowledge teams on AI transformation. You’ll leverage your lived experience as an innovation leader to help our customers design and execute their AI strategies, including client AI policies, rollout programs, and measures of success.Support innovation leaders in advancing the frontier of firm and client collaboration.Contribute to firm efforts to innovate on the business of law.Advance Legal AI thought leadership, including representing the community in industry forums and publishing analyses that advance the frontier of legal innovation.Foster a thriving innovation and knowledge community, including creating opportunities for dialogue and collaboration across law firms, professional organizations, and corporate teams.What You Have5+ years in a legal innovation role at a top tier law firm, corporate legal team, or legal tech organization.Strong point of view on the direction of AI transformation in law firms and a demonstrated interest in steering it for the benefit of lawyers, clients, and firms.Executive presence with CIOs/CKOs/CISOs and the ability to translate between technical and legal/business audiences.Track record of shaping product direction or service design based on deep domain insight.Exceptional communication skills—written thought pieces, conference speaking, and one-to-one executive advising.Compensation$270,000 - $320,000 USD OTE (70/30 split)Please find our CA applicant privacy notice here.#LI-EP1Harvey 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

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. 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. With 700+ customers in 58+ countries, 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 is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey’s Legal Product Specialists are experienced lawyers from top-tier firms who leverage their legal expertise to help customers seamlessly integrate Harvey into their daily workflows—driving adoption, increasing utilization, and supporting long-term expansion and renewal. Legal Product Specialists collaborate closely with Harvey’s Customer Success Managers and Account Executives to drive all facets of the post-sales strategy. They develop consultative relationships with law firm partners, associates, innovation teams, and in-house counsel at private equity firms and Fortune 500 companies—serving as trusted advisors on how Harvey’s AI solutions can enhance legal effectiveness and efficiency.Legal Product Specialists draw on their legal training and practice experience to ask thoughtful questions, uncover adoption barriers, and develop tailored strategies that build credibility with customers. They partner with Customer Success Managers and Account Executives to communicate Harvey’s value through a mix of large group sessions, small workshops, and one-on-one conversations.What You’ll DoBuild trusted relationships with law firm and in-house legal teams by understanding their unique workflows and offering tailored guidance on how to incorporate Harvey’s AI into their daily practice.Design and lead onboarding sessions, training workshops, and ongoing enablement programs that drive adoption and maximize the value of Harvey’s platform.Act as a strategic partner to Customer Success Managers and Account Executives to identify expansion opportunities and support renewal efforts through demonstrated impact and engagement.Proactively surface obstacles to adoption by engaging users with thoughtful questions and legal empathy, then develop and implement strategies to overcome them.Translate legal practice needs into actionable feedback for the product and engineering teams, helping to shape product development through a lawyer’s lens.Monitor usage trends and identify at-risk accounts or untapped opportunities, working cross-functionally to re-engage users and showcase new or underutilized capabilities.Contribute to customer-facing content (e.g., training materials, use case guides, FAQ resources) to ensure continued customer success across a range of practice areas.Support the credibility and brand of Harvey as the leading AI platform for lawyers by delivering high-quality, domain-specific guidance that meets the expectations of top-tier legal professionals.Travel may be required from time to time, including visits to customer office locations and company offices.What You HaveJD or equivalent legal qualification.At least 3 years of experience practicing law at a top-tier law firm, including at least 1 year experience in practice innovation.Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.Strong understanding of legal processes and challenges faced by legal professionals.Curiosity about AI’s potential to transform the legal industry.Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.Compensation$170,000 - $240,000 USD OTE (80/20 split)Please find our CA applicant privacy notice here.#LI-EP1Harvey 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

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. 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. With 700+ customers in 58+ countries, 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 is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey’s Custom Solutions team are skilled lawyers who apply their legal experience to help customers scope and build custom prompts, playbooks, and workflows tailored to meet the specific needs of an organization.What You'll DoWork with customers to design and build customized prompts, playbooks, and workflows that are tailored to their practice and organization.Work with customer teams to ensure effective implementation and adoption of these custom solutions.Collaborate with Harvey’s research and customer success teams to ensure these initiatives produce measurable improvements in quality and productivity.What You HaveJD or equivalent legal qualification.At least 3 years of experience practicing law at a top-tier law firm and/or in-house experienceStrong communication skills grounded in customer engagement and use case development.Strong understanding of legal processes and challenges faced by legal professionals.Curiosity about AI’s potential to transform the legal industry.Experience in practice innovation is a plusExperience building customized AI solutions is a plus.Compensation$170,000–$240,000 USD OTE (80/20 split)#LI-EP1Harvey 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

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AI at ZapierAt Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.Hi there,Zapier is looking for an Engineering Manager to lead our AI Capabilities team, the group responsible for building Zapier’s AI platform. This team provides the orchestration, tooling, memory, model gateway, code execution, and observability foundations that power every AI experience across Zapier.Our mission is to help product teams ship high-quality, trustworthy, and easy-to-use AI features quickly and confidently by consolidating core AI backend services into a set of well-designed APIs backed by shared, scalable infrastructure. We focus on building fewer things at a higher level of quality, creating a platform that is intuitive for developers and rock-solid for users.As the Engineering Manager for AI Capabilities, you’ll lead a team operating at the center of Zapier’s AI strategy, partnering closely with product, infrastructure, and other AI teams to deliver reliable building blocks that accelerate development across the company. This is a unique opportunity to define how AI behaves across Zapier at scale—not in prototypes, but in production, powering millions of workflows.If you’re excited about building the infrastructure that allows LLMs and agents to operate seamlessly inside real user workflows, this role is for you.Our Commitment to ApplicantsCulture and Values at ZapierZapier Guide to Remote WorkZapier Code of ConductDiversity and Inclusivity at ZapierAbout YouYou've shipped LLM-powered products. You have hands-on experience building and shipping LLM features, with bonus points for autonomous agents experience.You have platform-building experience. You've built or led teams building developer tools, API platforms, or core infrastructure used by multiple teams. You think in terms of reusable abstractions, consistency, reliability, and developer experience, not just individual features.You’re willing to get your hands dirty. You thrive in startup-like environments and are comfortable wearing multiple hats. You're scrappy and resourceful, with a bias toward action and shipping value quickly. You have a pragmatic approach to engineering—knowing when to build for scale and when to move fast. You're comfortable with ambiguity and enjoy the process of turning vision into realityYou are a skilled engineering leader. You have a proven track record of building high-quality, production-level code. You're fluent in our tech stack (Typescript, React, Nodejs, Python, Django) and comfortable learning new technologies.You have excellent communication skills. You regularly work with engineers and other stakeholders from various disciplines, balancing engineering concerns, such as technical debt, with product concerns. Ideally, you find solutions that address both the team and user needs, but if not, help build understanding around difficult decisions.You stay technically engaged. You regularly pair with engineers to support technical decision-making despite not being an IC.You balance architecture with pragmatism. You make informed technical decisions, knowing when to plan meticulously and when to move quickly.You prioritize outcomes over process. You implement lightweight processes that drive results without creating unnecessary red tape.You champion frequent deployments. You believe in shipping code regularly and improving through real-world feedback rather than seeking perfection.You solve problems creatively. You tackle challenges with a can-do attitude, recognizing when to build new features versus strengthening foundations.You put users first. Your decisions and leadership are guided by user needs and improving their experience.You build relationships across teams. You collaborate effectively beyond your team and influence technical decisions for the company's benefit.Things You’ll DoLead and develop a team of 4-6 engineers, providing technical direction, mentorship, and career growth opportunities.Work with the engineering team to make, evaluate, and advocate for architectural decisions that align with Zapier's vision and technical standards.Collaborate across engineering teams to evaluate and inform their technical decisions, creating alignment and removing blockers for the execution of your roadmap.Champion problem-solving by identifying technical challenges and improving engineering processes.Partner with key stakeholders to tackle user problems effectively.Communicate effectively to lead your team and keep leadership informed on your team’s progress through one-on-ones, team meetings, and leadership updates.Review code and provide thoughtful feedback to improve code quality and engineer growth. Contribute to code when needed to fix bugs, improve developer experience, or prototype concepts.Foster a culture of experimentation, rapid learning, and continuous improvementHow to ApplyAt Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional. Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.Zapier prioritizes the security of our customers' information and is dedicated to adhering to all applicable data privacy laws. You can review our privacy policy here. Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com. Application Deadline:The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

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About Sana Sana is an AI lab building superintelligence for work.We believe organizations can accomplish their missions faster when humans can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI.As part of Workday, we are committed to building AI that augments humans.If that’s a mission that excites you, you’re in the right place.About the roleYou’ll be the quality champion for Sana’s AI agent platform, ensuring our LLM-powered products are robust, reliable, and a delight to use. You’ll design and implement test strategies that keep pace with rapid iteration, automate critical workflows, and drive a culture of quality across engineering. This is a hands-on role for someone who thrives on constructing scalable ways of breaking things, uncovering edge cases unique to agentic and LLM-based systems, and building the safeguards that prevent issues from reaching production. You’ll help us deliver agent workflows that are safe, trustworthy, and enterprise-ready, for the AI landscape of today and tomorrow.In this role, you willDesign and implement test plans for agent infrastructure, LLM-based APIs, and end-to-end user journeysBuild and maintain automated test suites for backend, frontend, and integration layers, including prompt and response validation for generative modelsDevelop tools and frameworks to accelerate testing and catch regressions early, especially in agent reasoning, tool use, and context handlingCollaborate closely with engineers to embed quality into every stage of development, with a focus on the unique challenges of AI/LLM systems (e.g., non-determinism, hallucinations, safety)Lead root cause analysis and drive resolution for critical issues and incidents, including those arising from model updates or agent behaviorsAdvocate for best practices in code quality, observability, and CI/CD pipelines—ensuring quality signals are actionable and visibleWhat success looks likeCritical bugs, regressions, and model failures are caught before they reach users—even as we scale and ship rapidlyAutomated test coverage is high, reliable, and easy to maintain, including for LLM outputs and agent workflowsRelease cycles are fast and safe. Confidence in shipping is high, even with evolving models and agent capabilitiesQuality metrics (including model quality, agent reliability, and user experience) and dashboards provide clear, actionable signals to the teamYou are a go-to partner for engineers, raising the bar for quality and reliability in AI-driven systemsOur tech stackWe build on a simple modern stack optimized for both humans and AI:Backend: TypeScript, Node.jsFrontend: TypeScript, React, TailwindDatabases: Postgres, RedisCloud infra: GCP/Kubernetes/TerraformWhat We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About the teamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.About the roleOur Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This leadership role will be responsible for driving and implementing the overall sales strategy for our Mid-Market Enterprise segment, recruiting and leading a team of sales professionals, and achieving successful deployments with our customers.The ideal candidate will possess significant sales leadership experience and a comprehensive understanding of AI technologies. This leader will have the capability to adapt to a complex and fast-changing technology environment. Responsibilities will include customer acquisition, account management, owning executive relationships, and more.This individual will also need to be a proven leader who can effectively collaborate cross-functionally with product, marketing, developer relations, operations, and core GTM teams, while guiding and mentoring a sales team towards achieving business objectives.This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you'll:Lead a team of sellers across APAC (Singapore, Korea, Australia & India)Partner with solutions to build and execute complex customer programs and projectsManage consumption revenue forecastsClosely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategiesSupport the recruitment and onboarding of other teammatesSupport the development of company cultureWe're seeking someone with experience including:8+ years leading Enterprise Sales teamsSelling platform-as-a-service and/or software-as-a-service at a product-led growth companyDesigning and executing complex deal strategiesSupporting the growth of fast-growing, high-performance companiesLeading high-visibility customer events (CAB, conferences, product launches, etc.)Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligenceReporting on customer success activitiesYou might thrive in this role if you:• Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their internal productivity and AI strategy. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.• Have a passion for or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future.• Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision.• Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.• Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI.The Role: As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions. Key Responsibilities: Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. New Model Enablements: Integrate and enable new machine learning models into the existing platform or client environments. Performance Optimizations: Improve system performance, efficiency, and scalability of deployed models and applications. Partnership Enablement: Work closely with partners to enable joint AI solutions and ensure seamless collaboration. Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in a software engineering role, with a strong preference for customer-facing roles. Robust coding skills required, preferably with proficiency in Python. Demonstrated ability to lead and execute complex technical projects with a focus on customer success. Strong interpersonal and communication skills; ability to thrive in dynamic, cross-functional teams. Preferred Qualifications: Master’s degree in Computer Science, Engineering, or a related technical field. Experience working in a startup or fast-paced environment. Hands-on experience fine-tuning machine learning models, including supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT). Solid understanding of generative AI, machine learning principles, and enterprise infrastructure. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.Base Pay Range (Plus Equity)$170,000—$240,000 USDWhy Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

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Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.If you'd like to build the world's best AI cloud, join us.*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.What The Role is AboutSI Partnership is Lambda’s missing function team. We’re a part of the Product Engineering organization — we work on customer-facing APIs and UIs, contribute to Lambda’s core product offerings and developer tooling. SI Partnerships charter is to enable world’s largest Superintelligence companies to successfully integrate their workloads on Lambda’s platform, and make all our tooling and improvements available to all Lambda’s enterprise customers as part of our core Cloud Platform.You’ll find yourself working directly with engineering and business teams across Lambda and our largest customers, on the cutting edge features that the industry at large is just starting to figure out.What You’ll DoBuild end to end features for Lambda Cloud.Contribute both frontend and backend code to existing and new features.Collaborate with Lambda Product Engineering, Platform, and Infrastructure teams to deliver solutions that cut through the stack.Work with a team of Product Managers to design, scope, and deliver features that are critical to our most important customer success, without compromising on our product quality.Collaborate with Lambda Support and other Operations teams to deliver the best possible experience for our customers.Partner directly with superintelligence customer’s engineering teams.Own production features and systems, participate in incident response rotations. Design and implement observability and maintenance processes for the new features we build.YouExperience in modern web application frontends: responsive web apps using TypeScript, React (or equivalent experience in Vue or Svelte), HTML and CSS, and Vite.Backend experience: Business-critical services using Python, Unix/Command line, Django or FastAPI, Postgres.Proven experience owning complex features end to end, from defining the problem with Product, to GA release and measuring success criteria, in highly ambiguous environments, under tight deadlines.Proven experience to communicate trade offs in scoping and timelines.Experience designing, implementing, and maintaining developer-facing APIs and documentation.Additional Core ExperienceCI/CD: Automation around testing and deploymentReliability & Observability: Logging, alerting, and building highly available systemsCloud Native Services: AWS, Okta, Cloudflare, etc.Nice-to-HavesExperience with KubernetesInfrastructure as Code (Terraform, Atlantis, Crossplane, etc.)Experience in ML, AI, or data scienceApplication security and web hardeningEngineering leadership or mentorship experienceSalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, with 500+ employees, and growing fastOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent CoveWe have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGOur values are publicly available: https://lambda.ai/careersWe offer generous cash & equity compensationHealth, dental, and vision coverage for you and your dependentsWellness and commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible paid time off plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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About the TeamOur Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives.About the RoleAs an Electrical Engineer on the Robotics team, you will help enable the next generation of embodied AI. You will be the first engineer focused exclusively on end-effector electrical systems, with strong support from mechanical, firmware, and robotics systems teams. You will design and prototype circuits to integrate novel sensors for tactile, force, and position sensing. You will contribute to - and over time, own - the electrical architecture for robotic end-effectors.By working closely across disciplines and with external suppliers, you will ensure that every part of the system - from schematic capture to layout and production - meets the highest standards of reliability, performance, and scalability. This role offers a unique opportunity to shape how advanced interaction and sensing technologies power adaptive, intelligent machines in the real world.This role is based in San Francisco, CA, and requires in-person presence 4 days a week. You might thrive in this role if you:Have 6+ years of experience designing electrical systems for compact products such as consumer electronics, wearables, medical devices, or robotics platforms.Have experience keeping a high quality bar in a fast-moving environment that aims to produce reliable and safe products.Have hands-on experience with thermal management and efficient power electronics in extremely space-constrained environments.Have integrated sensing technologies such as magnetic absolute encoders, force sensors, or tactile sensors into compact electro-mechanical systems.Have experience designing, prototyping, and iterating on novel sensing technologies and applications.Are comfortable routing and validating high-speed digital interfaces adjacent to power electronics (e.g., Ethernet, CAN, RS-485).Have practical experience addressing EMI/ESD challenges in tightly coupled motor and sensor systems.Have collaborated closely with cross-functional partners to define requirements and translate them into practical, rapidly iterated prototype designs.Have managed the full lifecycle of a design from schematic capture and PCB layout through low-volume production, test, and bring-up.Are able to co-design with mechanical engineers under active development, iterating rapidly under evolving constraints and ambiguity.Hold a Bachelor’s or Master’s degree in Electrical Engineering or a related field, or possess equivalent practical experience.Additional, preferred qualifications:A strong passion for electro-mechanical product design, creative problem-solving, and building novel physical systems.Practical experience designing rigid-flex PCBs, connectors, and wire harness strategies for compact, continuously moving assemblies.Experience supporting the development of factory test and calibration tooling for electrical and sensor systems.Experience designing systems intended for high-volume production, troubleshooting issues on assembly lines, and partnering closely with contract manufacturing teams throughout the design lifecycle.Familiarity with embedded bring-up and test firmware development in C, C++, or Rust.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.