AI Marketing & Sales Jobs

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About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 5+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts and build AI-agents Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location:  This role is hybrid (3-4 days a week in one of our SF Bay Area offices) Compensation & Benefits: The standard OTE range for this position is $150,000-$212,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system. Responsibilities Design, deploy, and maintain Figure's training clusters Architect and maintain scalable deep learning frameworks for training on massive robot datasets Work together with AI researchers to implement training of new model architectures at a large scale Implement distributed training and parallelization strategies to reduce model development cycles Implement tooling for data processing, model experimentation, and continuous integration Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Experience with Python and PyTorch Experience managing HPC clusters for deep neural network training Minimum of 4 years of professional, full-time experience building reliable backend systems Bonus Qualifications Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.) Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.) The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation.About ReplitReplit is pioneering the future of software creation, bringing powerful AI development to everyone, from first-time builders to enterprises. Our mission is to empower the next billion software creators by collapsing the distance between idea and shipped software. Replit Agent is one of the fastest-growing AI products (10 → 250m ARR in 10 months), and we’re just getting started.About the RoleWe're looking for an Engineer focused on acquisition and demand generation. You'll own server-side, multi-channel engineering and the API integrations that power our marketing programs—from email nurture to organic and paid acquisition to affiliate loops. Working closely with Marketing, you'll architect feedback systems that let campaigns self-optimize, ship instrumentation that drives insights, and run experiments that measurably improve how we attract and convert new users.What You'll DoBuild the plumbing for autonomous marketing programs: Design and maintain server-side frameworks, event pipelines, and API integrations across email (Iterable), paid platforms (Google Ads, LinkedIn), affiliate networks, and analytics warehouses (BigQuery).Own integrated infrastructure: Instrument data events across acquisition funnels, landing pages, email sequences, and in-product activation flows; ensure statistical rigor, proper attribution, and clean holdout groups.Ship growth systems that close feedback loops: Build targeting/segmentation logic, dynamic offer engines, real-time performance dashboards, and automated campaign optimization rules that react to conversion data.Collaborate cross-functionally: Partner with Marketing, Product, Data, and Sales to translate business strategies into technical specs, campaign architectures, and measurable experiments that drive incremental revenue and customer acquisition.What You’ll Bring2-4+ years building and shipping user-facing products with measurable growth impact; you’ve meaningfully moved acquisition or revenue metrics at scale.Full-stack TypeScript experience across React, APIs and backend.Strong product sense + analytical rigor: you write SQL, define success metrics, and know when to pivot or double-down.Experience with experimentation platforms (homegrown or vendor), event schemas, and cohort/segmentation analysis.Bias to action: you prototype quickly, validate with users, and ship.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Agent SWE team at Decagon deploys the most advanced conversational AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will guide a team to build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions that support their needs.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleDecagon is opening our third office in London and looking for an Engineering Manager to build it from the ground up and shape it's culture. As a leader on the Agent Software Engineering team, you’ll have complete ownership and autonomy in shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users.In this role, you willLead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionCollaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agentsPartner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsContribute to team strategy and help define the future of AI customer support agentsYour background looks something like thisHave 2+ years of engineering management experienceHave 7+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingA high degree of comfort digging into systems failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation£220k - £280k + Offers Equity

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco, San Jose, or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.About the RoleLambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.Reporting to the Senior Manager of Security, your team serves dual functions: building security for the business and demonstrating that work directly to customers. As security advisors to Product Engineering, Platform Engineering, and IT teams, your team will establish security policies and architecture standards, conduct threat modeling and design reviews for critical systems, and create implementation guidance that engineering teams can adopt. In support of our customers, your team will develop customer-facing security documentation and participate directly in enterprise security discussions. This work ensures the right security decisions get made across Lambda's AI infrastructure while protecting customer data, enabling hypergrowth velocity, and building the trust that closes enterprise deals.As Manager of the Security Architecture team, you'll build and lead a team of 4-5 security engineers with expertise across application security, infrastructure security, and corporate security. You'll hire strong specialists, coach them through complex security problems, set team priorities and architectural direction, and create a culture where security judgment accelerates business velocity rather than creating friction.Your success is measured by the security decisions your team enables across the business: engineering teams building secure-by-default systems, compliance frameworks mapped to technical controls, and customers trusting Lambda's infrastructure with their most valuable AI workloads. Your team will balance proactive architecture work (defining what "good" looks like) with reactive consultation (reviewing designs and answering complex security questions).Your immediate focus will be building your team, establishing processes for design reviews and architecture guidance that scale with Lambda's growth, and developing a 6-12 month roadmap aligned with Lambda's 2026 security strategic plan including compliance initiatives like ISO 27001.We're looking for engineering managers who pair strong people leadership with enough security depth to coach specialists, set architectural direction, and translate security decisions into business value. If you're energized by building high-performing teams, enabling security at scale through excellent judgment rather than brute force, and helping enterprise customers trust their most valuable AI workloads to Lambda's infrastructure, we'd love to talk.We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time.What You'll DoTeam Leadership & DevelopmentBuild, hire, and develop a high-performing team of 4-5 security engineers with deep expertise across application security, infrastructure security, and corporate security.Foster a culture where security judgment accelerates business velocity, creating an environment where specialists thrive through clear expectations, regular coaching, and opportunities for growth.Conduct regular one-on-ones and provide constructive feedback that helps your engineers advance their technical depth and expand their cross-functional impact.Set team priorities and architectural direction, ensuring your team focuses on the highest-impact security decisions across Lambda's AI infrastructure.Strategic Architecture & Program ManagementOwn your team's 6-12 month roadmap, balancing proactive architecture work (defining security standards and patterns) with reactive consultation (design reviews and complex security questions).Establish security policies and architecture standards that enable Product Engineering, Platform Engineering, and IT teams to build secure-by-default systems.Define measurable success criteria for your team's work, translating security architecture decisions into business impact that stakeholders understand.Proactively guide the evolution of Lambda's security architecture program as the company matures, ensuring architecture decisions align with compliance commitments and evolving customer security requirements.Cross-Functional Collaboration & Customer EnablementPartner deeply with Product Engineering, Platform Engineering, and IT teams to integrate security architecture guidance at optimal moments in their development cycles.Conduct and oversee threat modeling and design reviews for critical systems, ensuring your team provides actionable recommendations that balance security rigor with development velocity.Enable your team to create implementation guidance and architecture patterns that engineering teams voluntarily adopt because they make secure development easier.Support enterprise sales by developing customer-facing security documentation and coaching your team through direct security discussions with prospective customers evaluating Lambda's infrastructure.Collaborate with peer security teams (Detection & Response, Platform, Program Coordination) to ensure cohesive security architecture across all security functions.What We Think a Candidate Needs to Demonstrate to Succeed5+ years of security engineering or security architecture experience with 3+ years leading technical teams, demonstrating ability to build and develop high-performing security specialists.Proven track record building team cultures where specialists thrive through clear expectations, effective coaching, and career development that expands both technical depth and cross-functional impact.Strong technical background in security architecture, threat modeling, and secure design principles with enough depth to guide team decisions, evaluate complex tradeoffs, and coach engineers through difficult security problems.Experience working across application security, infrastructure security, or corporate security domains, with demonstrated ability to set architectural direction and security standards that engineering teams adopt.Excellent collaboration skills working with highly technical engineering teams both with and without authority, building relationships that enable security architecture guidance at optimal moments in development cycles.Skilled communicator who translates security architecture decisions into business value, helping stakeholders understand how technical security work protects customer data and enables business velocity.Ability to thrive in high-speed, high-ambiguity startup environments where you balance building team capability and security architecture foundations while executing at a fast pace.Nice to HavePrior experience in AI/ML infrastructure companies or cloud service providers where you've navigated the unique security challenges of multi-tenant systems and customer data isolation at scale.Hands-on experience driving compliance audits (SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP) including evidence collection, control mapping, and managing auditor relationships.Deep familiarity with bare metal infrastructure security in addition to cloud platforms, understanding physical security considerations and hardware-level security controls.Experience creating security architecture patterns that were adopted widely across multiple teams or organizations, demonstrating ability to build reusable solutions that scale beyond a single use case.Experience managing security engineers through significant career transitions, such as promoting ICs to lead roles or helping specialists successfully pivot between security domains.Enthusiasm about leveraging Lambda's access to state-of-the-art LLMs to pioneer AI-powered security architecture capabilities—imagine automated threat modeling, intelligent design review assistance, and architecture validation at scale only possible when you host the AI infrastructure yourself.Salary 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, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, 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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About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 5+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts and build AI-agents Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location:  This role is hybrid (3-4 days a week in one of our SF Bay Area offices) Compensation & Benefits: The standard OTE range for this position is $150,000-$212,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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About Greenlite AIGreenlite AI builds AI-powered compliance automation for financial institutions. We transform manual risk assessment processes into intelligent, scalable workflows that help our customers make faster, more accurate decisions about onboarding, due diligence, and ongoing monitoring.The RoleWe're hiring Product Engineers who excel at turning complex customer problems into elegant technical solutions. You'll own substantial features from conception to production, working directly with customers to understand their needs, designing scalable architectures, and shipping code that measurably improves compliance operations.This role combines deep technical work with high customer impact. You'll build systems that process thousands of cases, save compliance teams significant time, and directly contribute to company revenue.What You’ll BuildCustomer-Facing ProductsDevelop intuitive interfaces for case management, reporting, and analyticsBuild document analysis and verification systemsBuild agentic workflows that coordinate AI tools and data services to perform research, enrichment, and verification, while keeping humans in the loop for review.Create tools that help customers configure and customize their compliance workflowsResponsibilities by Experience LevelEngineerIndependently deliver medium-to-large features with minimal guidanceWrite clean, well-tested code and participate in code reviewsCollaborate with product and design to scope and refine solutionsDebug production issues and contribute to system reliabilityGrow your technical skills and product intuitionSenior EngineerLead technical design for complex, cross-cutting projectsMake architectural decisions that balance customer needs, technical quality, and delivery speedIdentify systemic issues and drive improvements to platform foundationsMentor engineers and elevate team engineering practicesShape product direction through technical insightsStaff / Principal EngineerDefine technical strategy for major platform initiativesDesign systems that scale across products, customers, and geographiesLead cross-functional efforts requiring deep collaborationEstablish engineering patterns that improve team velocity and qualityNavigate ambiguity and make high-stakes technical tradeoffsWhat We’re Looking ForMust-Haves:4+ yrs (Engineer) / 6+ yrs (Sr. Engineer) / 8+ yrs (Staff Engineer) building production softwareStrong full-stack capabilities—backend services, APIs, databases, and (nice-to-have) frontend developmentTrack record of shipping customer-facing products where reliability mattersEnd-to-end ownership mindset: from requirements through deployment and iterationClear communication—you can explain technical decisions to diverse audiencesProduct thinking—you understand why you're building something, not just how.Valued Experience:Building workflow engines, orchestration systems, or process automation toolsWorking in regulated industries where compliance, auditability, and data integrity are criticalIntegrating AI/LLM capabilities into production applicationsCreating configuration systems, admin tools, or workflow builders for non-technical usersDesigning systems for multi-tenancy, versioning, or complex authorization modelsStrong foundation in data modeling and distributed systemsTechnical Skills:We work with modern web technologies—TypeScript, Python, Node.js, React, cloud infrastructure, and workflow orchestration frameworks. You don't need to know our exact stack, but you should be comfortable learning new technologies quickly.Why You’ll Love Working HereMeaningful work: Solve hard problems that help financial institutions fight fraud and manage riskTechnical complexity: Build AI agents, workflow engines, data pipelines, and sophisticated UIsCustomer connection: Work directly with users, see your impact, iterate based on real feedbackTrue ownership: Ship features that matter, influence product direction, own outcomesHigh growth: Join during a phase where your contributions shape the company's futureAbout youYou're motivated by joining a startup at our stage because you want to build something fast and have direct impact—not because you need extensive structure. You're energized by combining technical work with customer interaction. You love solving open-ended problems, asking good questions, and structuring solutions without needing perfect specifications upfront.You make pragmatic decisions with incomplete information and proactively pull in the right people to overcome blockers. You're adaptable when priorities shift and have a growth mindset. You understand the broader system you're working in—not just what the AI does, but how it fits into the customer's full workflow.Compensation & Benefits$160k–$280K base salary + meaningful equityComprehensive healthcare, 401k matching, commuter benefits15 days PTO + holidays, unlimited sick daysFlexible leave optionsWorking late? We cover DoorDash and Uber homeJoin us in building AI that protects the global financial system from financial crimes that fund terrorism and human trafficking.

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About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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About the TeamThe Data Acquisition team within Foundations at OpenAI is responsible for all aspects of data collection to support model training. We build and operate large-scale crawling infrastructure, source and structure external datasets, and work with research, product, and partnerships to ensure OpenAI has the data needed to build and deploy frontier AI systems.We are a small, high-performing team that thrives in ambiguity. We combine technical fluency, operational rigor, and strategic thinking to move quickly on mission-critical initiatives. Team members bring structure to complex problems, align stakeholders, and drive execution across the organization. About the RoleWe are hiring a Business Operations Manager to lead data operations and acquisition programs. In this role, you will partner closely with research, product, and business teams to identify data needs, source and evaluate data opportunities, and ensure that high-quality data is efficiently delivered into our training pipelines.You’ll develop a deep understanding of our models, product goals, and the broader data ecosystem. You will work with researchers and engineers to clarify data requirements, design and manage acquisition workflows, engage external partners, and establish processes that improve our ability to create, acquire, and manage data at scale.This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. You’ll help the organization anticipate data needs, uncover new opportunities, build internal capability, and operationalize solutions that meaningfully accelerate research progressThis role is based in our San Francisco HQ or New York office. We operate on a hybrid work model with three days in the office per week and offer relocation assistance. In this role, you will:Work closely with research, product, and partnerships teams to understand data needs and define acquisition priorities aligned with model and product goals.Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are well understood and executed.Lead vendor and partner engagements for data sourcing—including evaluating suppliers, negotiating agreements, and managing delivery.Establish and maintain metrics for data quality, throughput, spend efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners.Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. You might thrive in this role if you:Have 8+ years of experience in business operations, strategy, venture capital, private equity, consulting, or operations management with at least 2 years operating within a company. We will also consider high-trajectory candidates with fewer years of experience but at top companies with a clear track record of excellence.Have experience taking end-to-end ownership of large, ambiguous problems, and breaking them down into clear, actionable plans.Have direct experience engaging with executives and senior leaders to influence and drive strategic decisions.Excel under pressure, bringing a high motor and exceptional adaptability and flexibility in a fast-paced, dynamic environment.Are highly analytical – sophisticated in your understanding and approach to analyses; ability to ask and answer the most important questions, and present results clearly to leaders to influence decision making.Are comfortable operating at all altitudes – discussing strategy and vision with executives, and troubleshooting operations with individual contributors and external partners.Have excellent communication and cross-functional collaboration skills.Are passionate about technology and artificial intelligence, and interested in its impact on business and society. Nice to haves:Technical background with a computer science degree or work in engineering/productExperience working in AI.Experience working in data scienceAbout 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 TeamOpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.About the RoleWe are looking for an embedded engineer to help build firmware and drivers for OpenAI’s in house AI accelerator. This role involves designing and developing drivers for a large array of HW components, writing high throughput and low latency firmware code, and investigating bring-up and production issues.ResponsibilitiesDesign and implement drivers for a large array of hardware components.Design and implement low-latency and high throughput embedded SW to manage HW resources.Work with adjacent SW and HW teams to implement requirements, debug issues and shape future generations of the HW.Collaborate with vendors to integrate their technologies within our systems.Bring up and debug firmware/driver on new platforms.Come up with processes and debug issues raised in the field.Set up monitoring, integration testing and diagnostics tools.Qualifications5+ years of experience working in embedded SW space.Ability to thrive in ambiguity and learn new technologies.Strong programming skills in C/C++ or Rust.Experience developing high throughput, low latency and multi-threaded code.Experience working with real time operating systems (RTOS).Experience developing HW drivers and working with HW engineers and/or vendors.Knowledge of common embedded protocols, e.g. UART, I2C, SPI, etc.Knowledge of microprocessor and common ARM architectures (e.g. AMBA) is a plus.Knowledge of PCIe, ethernet and other high BW communication protocols is a plus.Experience with GPUs or other compute HW is a plus.Experience deploying large compute clusters is a plus.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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ML Cluster Operations Engineer (Slurm / K8s)At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.About the Role:We are seeking an exceptional Machine Learning Engineer who has made training and AI workload scheduling a specialty. This is a senior-level role for someone who has significant experience managing distributed machine learning workloads at scale using Slurm and/or Kubernetes.As a technical visionary and hands-on expert, you will lead the evolution of our managed Slurm and Kubernetes offerings, as well as internal health checking and cluster automation.Key Responsibilities:Manage and iterate our containerized Slurm (Slurm-in-Kubernetes) solution, including customer configuration and deployment.Work closely with our engineering team to develop and maintain CI and automation for managed offerings.Ensure healthy cluster operations and uptime by implementing active and passive health checks, including automated node draining and triage.Help profile and debug distributed workloads, from small inference jobs to cluster-wide training.Establish best practices for running jobs at scale, including monitoring, checkpointing, etc.Mentor and upskill ML engineers in best practices. Qualifications:Must-Have:5+ years of experience in cloud infrastructure, HPC, or machine learning roles.Significant hands-on experience with Slurm in production HPC/ML environments, including understanding of setup/configuration, enroot (pyxis), modules, and MPI.Strong knowledge of distributed ML languages and frameworks, such as Python, PyTorch, Megatron, c10d, MPI, etc.Understanding of node lifecycle, including health checks, prolog / epilog scripts, and draining.Deep understanding of security, compliance, and resilience in containerized workloads.Nice-to-Have:3+ years of hands-on Kubernetes experience, including deep knowledge of the Kubernetes API, internals, networking, and storage.Proficiency in writing Kubernetes manifests, Helm charts, and managing releases.Experience with DAGs using K8s native tools such as Argo Workflows.Foundation in networking, especially as it pertains to RDMA, RoCE, and Infiniband.Experience with low level kernel libraries, such as CUDA and Composable Kernel.Contributions to open-source projects or ML/AI tooling.What Success Looks LikeA production-grade integrated Slurm platform that can support thousands of GPUs, with self-healing, scaling, and strong observability.Infrastructure is resilient, secure, resource-optimized, and compliant.Best practices and tooling are well-documented, standardized, and continuously improved across the company.Make GPUs go Brrrrrrr What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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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 role is a mixture of technical understanding, vision, partnership, and value-driven strategy.You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI.This role is based in San Francisco. 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:Manage a portfolio of customer accounts, developing and executing strategies for a comprehensive account planSupport your customer accounts from initial engagement to successful deployment and through to renewalPartner with solutions and research engineering to build and execute complex customer programs and projectsOwn a revenue targetManage revenue forecastsAnalyze key account metrics to create reports and provide insights to internal and external stakeholdersClosely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategiesCollaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineeringSupport the recruitment and onboarding of other teammatesSupport the development of company cultureWe're seeking someone with experience including:9+ years selling and renewing platform-as-a-service and/or software-as-a-serviceDesigning and executing complex deal strategiesSupporting the growth of fast-growing, high-performance companiesWorking directly with c-level executivesCommunicating technical concepts to customers and internal stakeholdersGathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence You 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 products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.Have a passion 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 the Team The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advance their applications.About the RoleIn this role you’ll act as a force multiplier for the Human Data leadership team - turning strategy into execution across our most important priorities. You’ll move fluidly between high-context research programs, operational scaling, and cross-functional execution, ensuring critical initiatives have the right structure, clarity, and momentum to succeed.You’ll work closely with the Head of Human Data Operations to identify and drive impact where it matters most - whether diving into a strategic area, unblocking a burning challenge, or standing up a new capability for the team. You’ll combine technical fluency with program leadership and business judgment to accelerate outcomes across a fast-moving, high-stakes portfolio.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Identify and execute high-impact initiatives: Work alongside HD team to surface, prioritize, and operationalize strategic bets that strengthen OpenAI’s data ecosystem.Act as an executional extension of leadership: Step into ambiguous or critical areas, rapidly build context, and drive cross-functional alignment through to resolution or scale.Lead commercial and strategic execution: Negotiate and execute deals, manage partner conversations, and work closely with cross-functional teams - including Legal, Procurement, Security, and Finance - to bring opportunities to closure.Bridge strategy and delivery: Translate complex research and operational goals into structured, actionable programs that balance speed, scalability, and rigor.Optimize and unblock systems: Design lightweight processes, dashboards, and feedback loops to enhance visibility and accountability across the portfolio.Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interimOptimize Systems & Processes: Build and optimize dashboards to track performance, leveraging SQL and Python for data analysis and actionable insights.Build leverage through others: Empower program managers, TPMs, and vendors to drive programs and operate in their domains - enabling you to stay focused on high-impact work You’ll thrive in this role if you:Are proficient in SQL and Python for data analysis, including querying databases, processing large datasets, and generating actionable insightsAre proficient in SQL for creating analytics dashboards, including writing complex queries, optimizing data retrieval, and visualizing insights for decision-makingCombine technical intuition with strong business and commercial acumen.Are comfortable negotiating, structuring, and closing partnerships or vendor engagements.Build trust and momentum across diverse cross-functional teams, influencing without authority.Operate with high horsepower, switching fluidly between strategic abstraction and hands-on execution.Thrive in dynamic environments and enjoy solving problems that don’t yet have playbooks.Seek a role that amplifies organizational impact through clarity, execution, and sound judgment.Are excited to understand the technicalities of cutting edge AI research and work alongside researchers from instantiation to launchEnjoy being part of an ambitious and technically-minded teamWant to get your hands dirty; grit and creative problem solving will be required dailyLearn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you.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 RETELL AIRetell AI is using the first principles to reimagine the call center with cutting edge voice AI.We believe voice is still the most natural way humans communicate, yet it has been trapped in outdated call centers for decades. Our mission is to bring intelligence, empathy, and speed to every phone conversation between businesses and their customers.Since launching 18 months ago, thousands of companies now utilize Retell’s AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Altman Capital, and other leading investors, we have scaled to $30M ARR with a team of 20 people, up from $5M at the start of 2025.Now, we’re scaling fast, and we’re looking for bold, ambitious people to help us build the gold standard for voice automation. If you want to work on deeply technical challenges, move fast, and make an outsized impact at one of the fastest-growing Voice AI startups in the world, you’ll love it here.Let’s build the future of voice automation together.We’re a top 50 AI app in a16z list: https://tinyurl.com/5853dt2xWe're also one of the top ranking startups on: https://leanaileaderboard.com/ABOUT THE ROLEAs a Senior Frontend Engineer, you’ll shape the user experience of our AI voice platform, building intuitive interfaces and tools that power millions of automated conversations. You’ll work across the stack, focusing on React and TypeScript, and collaborate with the founding team to deliver fast, beautiful, and scalable solutions.KEY RESPONSIBILITIESDesign and build core UI features like prompt management, dashboards, and analytics tools.Develop responsive, intuitive interfaces using React, TypeScript, HTML, CSS, and JavaScript.Collaborate on backend APIs and DevOps to ensure seamless, scalable systems.Lead frontend projects from concept to launch, owning architecture, coding, and iteration.Work with customers to onboard, debug, and turn feedback into UX improvements.YOU MIGHT THRIVE IFHave 2+ years of experience building production-grade apps with React and TypeScript.Hold a degree in CS, CE, or equivalent practical experience.Take ownership like a founder, proactively solving problems with clean design thinking.Thrive in fast-paced environments, quickly learning new tools and frameworks.Collaborate effectively, balancing clarity and momentum in small, dynamic teams.JOB DETAILS Job Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home)Cash: 215k - 290kEquity: 0.05 - 0.15%Location: Redwood City, CA, USUS Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.OTHER BENEFITS100% coverage for medical, dental, and vision insurance$70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks$200/month wellness reimbursement (gym, fitness classes, etc.)$300/month commuter reimbursement (gas, Caltrain, etc.)$75/month phone bill reimbursement$50/month internet reimbursementCOMPENSATION PHILOSOPHYBest Offer Upfront: Choose from three cash-equity balance options; no negotiation needed.Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders.High Ownership: Small teams, >$1M revenue/employee, and significant equity.Performance-Based: Offers tied to interview performance, not experience or past salaries. INTERVIEW PROCESSOnline Assessment (1 hour): Coding questions on practical problem-solving (7 days to complete).Intro Call (15-20min): Connect with our talent team to get a deeper look at the team and the work you'd be doing.First Technical Phone Interview (45 min): Practical coding session focused on code fluency and system design (For frontend roles, we will focus on React-specific questions)Technical Phone Interview (45 min): Practical coding session focused on code fluency and focused more heavily on your systems design approachOnsite/Virtual Interviews (2–3 hrs): Hosted in our office if located in the Bay Area or virtual, with three rounds:Practical Coding: Tackle real-world coding tasks with debugging.System Design: Architect a production-ready system.Tools & Automation: Build automations or improve workflows in any basic environment setup like python, java, node.js, etc.Learn MoreRetell AI - API That Turns Your LLM Into A Human-Like Voice AgentRetell AI Basics: Everything You Need to Start Building Voice AgentsJoin Retell AI to craft the future of voice automation, building intuitive, impactful frontend experiences that redefine AI-driven communication.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!As an Applied AI Engineer, you’ll research and utilize established and state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions—either by leveraging Snorkel Flow or developing custom approaches when needed—to solve high-impact customer problems. You will also help define Snorkel’s Applied AI tooling and workflows by translating real-world customer challenges into reusable patterns, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, working directly with customers, and bridging the gap between AI technology and business value, while staying naturally curious about the tools, workflows, and infrastructure that underpin the AI stack end-to-end. Main Responsibilities Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform. Develop and implement state of the art AI techniques such as retrieval-augmented generation (RAG), fine-tuning, prompt engineering, AI agents, ML model training, and optimizing model performance for real-world deployment to maximize business impact. Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow. Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI. Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI. Annual travel up to 25%. Preferred Qualifications B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience. 3+ years of customer-facing experience in the design and implementation of AI/ML solutions. Proficient in Python. Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), and LLM orchestration, workflow, and agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI). Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement. Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. Ability to work in a fast-paced environment and balance priorities across multiple projects at once. Compensation range for Tier 1 locations of San Francisco Bay Area $172K - $275K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Locations Redwood City, CA - Hybrid; San Francisco, CA - Hybrid - US #LI-CG1Salary Range $172,000—$275,000 USDBe Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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The Role We’re looking for a driven and creative Account Executive to bring Descript’s video and AI solutions to more businesses around the world. As one of our early sales hires, you’ll help shape our sales playbook, refine our strategy, and drive new revenue growth. This role offers a rare opportunity to partner closely with Product and Marketing teams, working across the company to define the future of Descript’s enterprise and creator sales motion. What You’ll Do Own the full sales cycle — from prospecting to closing Develop and execute outbound strategies to identify and engage new opportunities Run product demos and lead technical + business conversations across multiple stakeholder levels Build and manage executive-level relationships with enterprise customers Collaborate with internal teams to optimize the customer journey and feed insights into product and marketing initiatives  What You Bring Proven success in a quota-carrying B2B SaaS or AI sales role Experience managing complex sales cycles and closing high-value deals Ability to translate technical products into clear business outcomes Creative, persistent, and curious approach to building pipeline and outreach Comfortable in fast-moving, ambiguous environments — you build as you go Enthusiasm for creator-oriented tools, especially in video, audio, or AI Knowledge of media creation workflows within organizations   The base salary range for this role is $100,000- $135,000/year and the compensation structure will follow a 50/50 base/variable split. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.  About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

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Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a transformative Accounting Manager to help lead our accounting function, focusing on corporate business operations and financial reporting. This role is crucial for modernizing accounting operations through process automation, scalable processes, and real-time analytics. You will participate in managing the general ledger and financial reporting, drive process improvement, and ensure compliance and participate in the annual audit. The successful candidate will utilize AI and Robotic Process Automation (RPA) to optimize workflows, automate tasks, and enhance efficiency. You will also help lead and develop a team of staff and senior accountants, fostering growth and operational excellence. What you'll do Complete month-end close activities accurately and according to department deadlines Help lead and mentor a team of staff and senior accountants, providing guidance, training, and performance feedback Identify opportunities to improve efficiency through automation and AI-driven tools in accounting workflows Collaborate with finance systems and data teams to implement automated reporting and reconciliation solutions Prepare and post journal entries; collect, analyze, and record data to general ledger system Record accruals, expense allocations, and month-end true-ups Review and reconcile balance sheet accounts monthly; assist with the monthly budgetary process for reporting and variance analysis Maintain financial historical records by filing accounting documents and related support Work closely with internal and external departments to ensure financial transactions are properly recorded and complete; answer accounting and financial questions by researching and interpreting data Participate in year-end audit to compile and prepare supporting schedules, work papers, and financial reports What we're looking for 7+ years of accounting experience Bachelor’s degree in accounting from an accredited university 2+ years of prior leadership experience within an accounting organization Ability to manage time for multiple tasks to meet established deadlines Excellent oral and written communication skills Ability to work with a low-ego, highly collaborative, cross-functional team Experience with accounting automation, AI-enabled analytics tools, or process optimization through technology (e.g., RPA, AI-based reconciliation, or workflow automation) Strong interest in leveraging AI and emerging technologies to enhance financial operations While not required, these are a plus: Experience in real estate CPA certification When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $115,000.00 USD to $140,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-OnsiteMetropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Fluency in German and English to expand our client base in multilingual markets Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis.  The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€155.000—€205.000 EURLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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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 Strategic Business Development Leads are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Strategic Business Development Leads build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective. Similar to how Solutions Architects secure the “technical win” in the sales process, Strategic Business Development Leads secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area.Strategic Business Development Leads utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations.What You'll DoEngage with lawyers at existing and prospective customers to understand and address their workflow challenges, and then explain and demonstrate the value of Harvey’s AI solutions to address them.Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence).Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases.Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types. Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens.Tailor the introduction of new solutions to specific customer needs. Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs. Conduct research and analysis on customers and competitors.What You HaveJD or equivalent legal qualification.At least 3 years of experience practicing law at a top-tier law firm (Vault 50 or equivalent), preferably with a corporate law or litigation focus.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 Range$270,000 - $320,000 USD OTE 70/30 splitPlease 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