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Imagine having the power to stress-test an entire power grid against a hurricane before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure. By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.ABOUT THE ROLEAs a Senior Software Engineer, you will be designing and implementing features in one of our engineering groups: Digitisation: generate digital twins from various data sources using a mix of machine learning, algorithms and work on tooling to correct bad extractions as fast as possible.Platform: provide the API surface for organisations to extract the most value out of the data hosted on the Neara platform. Work on our internal expression language and work with customers and other teams to identify the abstractions we need to provide.Design: take digital twins (or prospective designs) and analyse the viability of designs, from load analysis on infrastructure to identifying the resilience of the electric network to extreme weather events. WHAT YOU WILL DODigitisationDevelop and measure algorithmic/ML improvements to digital twin extraction.Improve monitoring to identify when our systems do a bad job of digital twin extraction (for example, distribution drift, misconfiguration).Develop tooling to quickly fix problems created by automated solutions.If you’d like to apply for a Machine Learning Engineer role in this group, please click here.PlatformDevelop the functionality of our internal platform by identifying common abstractions that can apply to many unique use cases.Data abstractions that allow users to semantically model and interact with their organisation's data.DesignDevelop solutions that provide designers the ability to simulate the structural forces on the network and the behaviour of the network in various weather scenarios.Develop CAD-like tooling to import engineering designs to develop networks or work with Digitisation to fit lidar and imagery to engineering designs in order to achieve better simulations.WHAT WE OFFERCompetitive salary & meaningful ESOPFully flexible working arrangements with a well-stocked office in RedfernRegular office eventsThe real benefit is working on a genuinely complex, innovative and industry-leading product, making a genuine difference in the world around us. To apply, please use the online application link below. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply. Please note that you will require current and unrestricted working rights to be considered for the role. Unfortunately, we are not in a position to offer visa sponsorship at this time.No agencies or third-party service providers, please.Questions? Email talent@neara.com.

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About Fractional AIFractional AI builds bespoke gen AI software to transform businesses.Every C-suite is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more).Fractional AI is building a Dubai office to serve clients in EMEA and Asia.About the RoleJoining Fractional AI’s Dubai office as a Founding Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying cutting-edge AI solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers.By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.What you bring to the tableYou write exceptional code + deeply care about the craft of coding (7+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languagesYou are excited about AI: you have some demonstrated interest in AI - Whether you've experimented with LangChain, built an LLM-based side project, or simply have become a ChatGPT power userYou’re comfortable working across the full stack: Engineers at Fractional work across the backend, frontend, data layer, and infrastructure. We don’t expect you to be an expert in all of these on day 1, but you’re willing to jump in and learn quicklyYou love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen beforeYou are ‘start-up ready’: you jump in without instruction, embrace a ‘no job too big, no job too small’ mindset, and want to shape strategy and cultureYou are comfortable talking with users: you deeply care about the user and skillfully navigate user conversations to ensure what we’re building meets their needsYou are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growthWhat you'll doDesign and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalabilityPartner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and supportActively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love workingOur tech stackWe’re generally tech stack agnostic - we work in our customers’ environments and code bases. A lot, but definitely not all, of our work is in Python or Typescript.After working at Fractional AI for a few years, you’ll be an expert at using the various foundational models, building with frameworks like AI SDK, Langchain/Langsmith, and various other tools and frameworks (e.g., OpenPipe, Pinecone, ChromaDB).A day in the lifeYou're on a "Project Team" designed for that client's high-impact AI need- it may be automating a call center with AI phone agents or building an AI content moderation system – each project is differentYou’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline.You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities.You’ll have some solo heads down time to continuing jamming on the high priority pieces for that print.Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project.Why you should (and shouldn’t) join usWe’re big believers in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you.Why join Fractional?Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products.Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our Dubai office means things like team lunches, quick brainstorming, and the right amount of banter.Why shouldn't you join Fractional?Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency.Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day.Directly interfacing with customers isn’t your thing: At Fractional, you’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer and the ability to speak with them and present to them with polish is crucial.Our ValuesOverdeliver.Overuse AI.Over "engineer" the culture.LocationIn-office in Dubai 4 days a week, Fridays remote.Benefits🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills.🌴 Unlimited PTO: Take the time you need to relax and rejuvenate.🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.🪪 Visa sponsorship

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About Us:At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.About The Role:We’re looking for an Engineering Manager to lead the team building LangSmith, our observability and evaluation platform for LLM applications. You’ll define the technical direction, grow and mentor a world-class engineering team, and partner with product and design to deliver features that help developers build and deploy trustworthy AI systems with confidence.You will: Build, mentor, and grow a high-performing team of engineers, fostering collaboration, ownership, and accountabilityStrengthen LangChain’s engineering culture through mentorship, high-quality code, and technical excellenceShape long-term technical direction and ensure scalability and reliability of LangSmith AI Observability PlatformPartner with product and design teams to define scope, sequence, and success criteria for key initiativesMaintain a high bar for technical excellence while making sure the team moves with urgency and focusLead by example in writing clean, maintainable, and well-tested code in Go/Python and TypescriptEngage directly with customers to understand their needs and translate them into actionable product improvementsWhat You Bring:Experience managing or tech-leading teams delivering complex full-stack productsStrong technical background in Go/Python and React/TypescriptSolid understanding of databases (Postgres, Redis and ClickHouse)Proven ability to design high throughput data-intensive systemsBias towards shipping quickly and learning from customersStrong communication skills—able to collaborate with internal stakeholders and engage directly with customersBonus: Experience building AI/LLM-powered applications, developer tools, or observability platformsCompensation & BenefitsWe offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.Annual salary range: $200,000- $250,000

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JOB DESCRIPTION: The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. Our goal is simple: make AI fly—safely, repeatably, and fast.   As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, advancing our infrastructure to enable a streamlined simulation test pipeline. You’ll design, build, and scale the models and infrastructure needed to use Shield’s simulation platform for qualified software validation efforts. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.  What You'll DoBuild and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++. Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release. Implement scenario simulation tooling and formal test infrastructure. Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios. Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing. Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity. Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI. Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering. Required QualificationsBS or MS in Computer Science, Aerospace, Robotics, or related field. 8+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization. Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems. Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management. Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.  Preferred QualificationsUnderstanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics. Familiarity with sensor and actuator modeling, and integrating avionics or autonomy software within simulation.  125,000 - 175,000 a year#LI-SM1

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, France, Singapore, and Japan.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doWrite the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform. Lead the creation and execution of developer training and enablement programs.Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption.Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development.Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community.What you'll bringPassion for helping customers across small and large enterprises learn to build exceptional AI Agents.Degree in Computer Science or related field, or equivalent professional experience.4+ years of experience in hands-on software development of highly technical products or developer relations roles.Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions.Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents.Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs.Demonstrated experience in designing and executing technical training, certification, or community initiatives.Even better...Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers.Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems.Proficiency with TypeScript, and comfort with writing code in collaboration with agents like Claude, Codex or CursorExperience collaborating across product, engineering, and go-to-market teams to launch strategic initiatives.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, France, Singapore, and Japan.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doWrite the playbook for onboarding and educating customers onto Sierra – both the Agent SDK and Agent Studio, our no-code platform. Lead the creation and execution of developer training and enablement programs.Build content that scales — including technical documentation, educational videos, onboarding paths, and sample repositories for SDK adoption.Develop and deploy AI Agents as an Agent Software Engineer, building the knowledge to become a world-leading expert on agent development.Work with our marketing teams to publish developer case studies and success stories to inspire and connect our growing technical community.What you'll bringPassion for helping customers across small and large enterprises learn to build exceptional AI Agents.Degree in Computer Science or related field, or equivalent professional experience.4+ years of experience in hands-on software development of highly technical products or developer relations roles.Excellent written and verbal communication skills and a desire to apply them in hands-on training sessions.Desire, excitement, and enthusiasm for building an in-person, global community around developing AI Agents.Strong technical skills and familiarity with modern software development — especially developer tooling, SDKs, and APIs.Demonstrated experience in designing and executing technical training, certification, or community initiatives.Even better...Previous experience developing agents using open source tools like LangGraph or interacting with MCP servers.Familiarity with agent platforms, developer communities, or early-stage developer product ecosystems.Proficiency with TypeScript, and comfort with writing code in collaboration with agents like Claude, Codex or CursorExperience collaborating across product, engineering, and go-to-market teams to launch strategic initiatives.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About the TeamThe Sora team is pioneering multimodal capabilities for OpenAI’s foundation models. We’re a hybrid research and product team focused on integrating multimodal functionalities into our AI products, ensuring they are reliable, user-friendly, and aligned with our mission of broad societal benefit.About the RoleAs a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scale multimodal training and evaluation at OpenAI. You’ll manage distributed data pipelines, collaborate closely with researchers to translate requirements into robust systems, and harden pipelines that serve as the backbone for Sora’s rapid iteration cycles.We’re looking for engineers who are detail-oriented, have strong experience with distributed systems, and excel at building reliable infrastructure in high-stakes environments.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security.Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient.Partner with researchers to deeply understand requirements and translate them into production-ready systems.Harden, optimize, and maintain critical data infrastructure systems that power multimodal training and evaluation.You might thrive in this role if you:Have strong experience with distributed systems and large-scale infrastructure with a strong interest in data.Are detail-oriented and bring rigor to building and maintaining reliable systems.Demonstrate excellent software engineering fundamentals and organizational skills.Are comfortable with ambiguity and rapid change.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 Fractional AIFractional AI builds bespoke software to help organizations solve complex, high-impact problems.Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more).By joining Fractional AI, you’re stepping onto a San Francisco, NYC, NC, and Dubai-based team working on AI projects for top companies from the comfort of an engineering-first startup.Fractional AI is launching a new enterprise division, which is physically headquartered in the Triangle of North Carolina. The enterprise division is initially focused on healthcare and life sciences (an area where our leadership team has deep experience), with plans to expand into other industries as we grow. This unique opportunity allows you to be a part of the founding team to help build the division from scratch, but with the stability and resources of an established and profitable startup.About the RoleJoining Fractional AI as a Forward-Deployed Software Engineer, you’ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers.“Forward-deployed” means we combine software engineering with customer-facing problem solving, owning delivery from early scoping through deployment and iteration. You’ll spend most of your time coding, but close enough to customers to shape the right solution end-to-end.By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.What you bring to the tableYou write exceptional code + deeply care about the craft of coding (5+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages.You are excited about AI. Many strong candidates will be building AI systems for the first time in a production context, so curiosity and learning speed matter more to us than prior buzzword exposure.You love solving hard, new problems: you are comfortable self-teaching, asking “why?,” and experimenting to solve problems you haven’t seen before.You thrive in high-ownership environments: you take initiative, function well with limited structure, and enjoy shaping how work is done. Whether you come from prior start-up experience or a mature organization, you have owned internal systems, shipped production software, and/or made the transition from data/ML work into scalable engineering.You are comfortable talking with users: you deeply care about the user and skillfully navigate user conversations to ensure what we’re building meets their needs.You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth.What you'll doDesign and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability.Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support.Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you’ll shape how we make Fractional a place we all love working.Our tech stackWe’re generally tech stack agnostic - we work in our customers’ environments and code bases, so we choose tools based on their needs rather than fixed preferences. A lot, but definitely not all, of our work is in Python, Typescript, Vercel, and Terraform.After working at Fractional AI for a few years, you’ll become fluent in the modern applied AI stack (e.g., LangGraph, DSPy, VLLM), from foundation model APIs to evaluation tools (e.g., Braintrust, Pydantic, InspectAI), as well as retrieval and deployment frameworks (e.g., OpenPipe, Pinecone, ChromaDB).A day in the lifeYou're on a "Project Team" designed for that client's high-impact AI need- it may be automating a call center with AI phone agents or building an AI content moderation system – each project is different.You’ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline.You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we’re working on … the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities.You’ll have some solo heads down time to continue jamming on the high priority pieces for that print.Maybe you join a prospective customer call to share your perspective on what’s technically feasible on that potential project.We move quickly, but sustainably, and believe strong execution comes from good judgment, not burnout.Who you'll work withYou’ll report to Rebecca, who leads our Enterprise engineering team, and will also collaborate closely with Kyle, who leads Enterprise sales and business development.You’ll work very closely with other engineers on the Enterprise team -- most project teams consist of 2-5 engineers and a Forward-Deployed Product Manager. We also love collaborating and knowledge-sharing with our counterparts in the SF, NYC, and Dubai offices (we’re all on the same Slack, which makes that easy even across time zones).You’ll also spend time partnering with Eddie, our Co-Founder and CTO, our CEO, Chris, and Chairman, Travis.Why you should (and shouldn’t) join usWe’re big believers in transparency and know joining a company is a big decision. We’re not the best fit for everyone and try to be clear on what we are and what we’re not so you make the choice that’s right for you.Why join Fractional?Build on the forefront of applied AI: You’ll have a front row seat to how the world’s leading companies are actually deploying AI solutions. By the time you’ve completed your second project, you’ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.Solve big, real problems: Companies come to us when they can’t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products.Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our NC office means things like team lunches, quick brainstorming, and the right amount of banter.Why shouldn't you join Fractional?Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers’ environments - you need to enjoy balancing elegance and expediency.Predictability is important to you: You’ll be working across customers, programming languages, industries and projects, which means you won’t be becoming an expert in the same product suite or serving the same user day after day.Customers aren’t your thing: You’ll spend most of your time coding but will be closer to the customer than in most engineering roles. You’ll frequently interact with engineers from the customer’s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial.Our ValuesOverdeliver.Overuse AI.Over "engineer" the culture.LocationRaleigh-Durham-Chapel Hill Area, NCWork Arrangement: 4 days in-person, Fridays remoteBenefits🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills.📈 401k with Matching: Invest in your future with our company-matched retirement plan.🌴 Unlimited PTO: Take the time you need to relax and rejuvenate.🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.🚑 Health FSA: Manage out-of-pocket health expenses effectively.🚌 Commuter Benefits: Make your travel to work easier and more affordable.🏥 Life Insurance: Providing peace of mind for you and your loved ones.🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.Ready to join us?

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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 1000+ 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 OverviewWe are looking for a legal researcher with a strong understanding of how law firms, financial institutions, large corporations, and other organizations deliver professional services and execute complex legal and knowledge work tasks. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customers' workflows and how those workflows can be accelerated by AI systems.What You'll DoTo facilitate the development of these systems, you will:Develop and deliver subject-matter expertise to support AI researchWork closely with our engineering, product, and design teams to define and develop AI systemsBuild and improve AI systems through prompt engineering, fine tuning, and other techniquesBuild proprietary benchmarks and datasets to evaluate models and model systemsPartner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutionsWhat You Have3-7 years of experience at a law firm, financial institution, or equivalent professional service providerDemonstrated ability to deliver high quality work product on demanding deadlinesAbility to effectively communicate with a variety internal and external stakeholders and translate complex problems effectively between themAbility to define positive outcomes in situations with underspecified success criteriaDeep intellectual curiosity and eagerness to learn across domainsWillingness and desire to do work in the trenches - e.g., grading hundreds of answers, breaking down thousands of documents - getting the models to do junior associate work requires a lot of things that look like junior associate workPlease find our CA applicant privacy notice here.Compensation Range$180,000 - $220,000 USDHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ 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 OverviewWe are looking for a legal researcher with a strong understanding of how law firms, financial institutions, large corporations, and other organizations deliver professional services and execute complex legal and knowledge work tasks. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customers' workflows and how those workflows can be accelerated by AI systems.What You'll DoTo facilitate the development of these systems, you will:Develop and deliver subject-matter expertise to support AI researchWork closely with our engineering, product, and design teams to define and develop AI systemsBuild and improve AI systems through prompt engineering, fine tuning, and other techniquesBuild proprietary benchmarks and datasets to evaluate models and model systemsPartner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutionsWhat You Have3-7 years of experience at a law firm, financial institution, or equivalent professional service providerDemonstrated ability to deliver high quality work product on demanding deadlinesAbility to effectively communicate with a variety internal and external stakeholders and translate complex problems effectively between themAbility to define positive outcomes in situations with underspecified success criteriaDeep intellectual curiosity and eagerness to learn across domainsWillingness and desire to do work in the trenches - e.g., grading hundreds of answers, breaking down thousands of documents - getting the models to do junior associate work requires a lot of things that look like junior associate workPlease find our CA applicant privacy notice here.Compensation Range$180,000 - $220,000 USDHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About LuminaiNearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things. At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal. We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.About The RoleAs a Forward Deployed Engineer, you will sit at the intersection of engineering, product, and customer delivery. You’ll embed directly with customers, deeply understand their workflows, and design and deploy AI-powered solutions that deliver immediate, real-world impact.This is a highly autonomous, hands-on role for someone who thrives in ambiguous environments, enjoys working directly with customers, and wants to shape product direction through what they see in the field. You’ll partner closely with Product and Engineering to turn customer needs into scalable systems that improve how healthcare organizations operate.This is a hybrid position. Our team is in-office 3 days a week (Mon, Tue, Thu) in San Mateo, California. What You’ll DoEmbed directly with customers to understand their workflows, constraints, and success criteriaDesign, build, and deploy AI-driven solutions tailored to real operational problemsBuild and maintain production systems including APIs, integrations, monitoring, and feedback loopsTranslate business requirements and customer needs into technical architectures and implementationsOperate in high-stakes environments where reliability, speed, and judgment matterIdentify patterns across customer deployments and feed insights back into core product and platform developmentPartner closely with Product and Engineering to influence roadmap, abstractions, and long-term system designOwn deployments end-to-end, from initial scoping through launch and iterationWhat We’re Looking For3+ years of software engineering experience, ideally with backend or systems-focused workStrong proficiency in Python (TypeScript / JavaScript experience is a plus)Experience working with cloud infrastructure (AWS, GCP, or Azure)Ability to translate ambiguous requirements into working, production-ready systemsStrong communication skills and comfort working with both technical and non-technical stakeholdersHigh ownership mindset with the ability to operate independently in fast-changing environmentsExperience with AI systems (LLMs, vector databases, prompt engineering, or agent frameworks) is a strong plus

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About the TeamThe GTM (Go-To-Market) Innovation team is an internal powerhouse revolutionizing how we engage customers through groundbreaking applications of our technology. As an incubator, we amplify the impact of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology at scale. This team applies advanced capabilities to real-world interactions — reshaping conversations with customers, learning from every exchange, and finding novel ways to show the value of our technology. About the RoleWe’re looking for product mindset software engineers to join the GTM Innovation team. As a product engineer on this team, you’ll help OpenAI meet the world at scale. You’ll partner closely with go-to-market teams to understand their workflows, identify leverage points, and ship novel solutions using OpenAI’s API platform. You’ll move quickly from prototype to production, and your work will directly shape how customers experience our technology in the field. This role is ideal for engineers who want to be close to users, own end-to-end outcomes, and help define entirely new categories of enterprise software.In this role, you will:Build high-impact applications and tools that accelerate OpenAI’s go-to-market effortsWork across the full product lifecycle for GTM: prototype, iterate, ship, and maintainEmbed with Sales, Technical Success, and Revenue Operations to identify user needs and build for themApply OpenAI’s models in novel ways to solve real-world customer and internal workflow problemsTranslate learnings into feedback for Applied and Research teams to inform product developmentYou’ll thrive in this role if you:Have 4+ years of experience as a software/ML/product engineer working on user-facing systemsFormer founder, or early engineer at a startup who built a product from scratch is a plusAre fluent in Python or JavaScript and comfortable building full-stack applicationsHave built or prototyped LLM-powered workflows using the OpenAI API (or similar)Take initiative, move quickly, and operate with a strong sense of ownershipEnjoy working closely with end users and shaping 0→1 productsAre collaborative, curious, and motivated to make an outsized impact at the frontier of AIAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.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 TeamIntegrity Data Science sits at the center of OpenAI’s mission to deploy powerful AI responsibly. We help ensure people can trust our products by building measurement systems, experimentation practices, and detection/mitigation strategies that protect OpenAI and our users from misuse, fraud, and evolving adversarial behaviors.As the scope and urgency of Integrity work expands across product surfaces and go-to-market motion, we’re hiring a dedicated Data Science Manager to scale the team, strengthen execution across multiple Integrity domains, and deepen partnership with Product, Engineering, Operations, and adjacent orgs (e.g., Growth, Ads).This role is based in our San Francisco HQ (in-office). About the RoleAs Data Science Manager, Integrity, you will lead a team of data scientists working across trust & safety, fraud prevention, risk analysis, measurement, and modeling. You’ll be accountable for building a high-performing DS function that can keep pace with fast-moving threats—and for shaping the analytical strategy that informs how OpenAI detects, measures, and mitigates integrity risks at scale.This is a highly cross-functional leadership role. You’ll help set the roadmap with Integrity Product/Engineering leaders, evolve team structure and operating rhythms, raise the bar on technical rigor (experimentation, causal inference, modeling, metrics), and develop a culture of proactive, high-leverage impact. Many of the challenges in this space are emergent—new misuse patterns appear as the technology and ecosystem evolves—so this role requires strong judgment, comfort with ambiguity, and an ability to build systems that scale. In this role, you will:Lead and scale a high-impact Integrity Data Science team—hiring, coaching, and developing DS ICs (and potentially future managers) while setting a strong technical and cultural bar.Drive strategy across multiple Integrity domains (policy enforcement, bot detection, fraud prevention, IP theft, risk measurement, abuse prevention), balancing near-term response with durable systems.Build and institutionalize analytical rigor: clear metric frameworks, experimentation standards, monitoring/alerting, and repeatable evaluation approaches for Integrity interventions.Partner deeply with Product & Engineering to shape roadmaps, prioritize the right bets, and translate ambiguous risk signals into practical product and platform decisions.Evolve team structure and operating model as the org scales—defining ownership boundaries, improving processes, and creating leverage through better tooling and AI-assisted workflows.Enable cross-org outcomes, supporting partners outside Integrity (e.g., Growth, Ads, GTM) where integrity risks intersect with product and business goals.Communicate clearly with senior leadership, synthesizing complex tradeoffs, surfacing risk, and driving alignment on priorities and success metrics.Push the team toward an AI-leveraged operating mode, using modern tooling and model capabilities to accelerate detection, triage, analysis, and iteration. You might thrive in this role if you:Have deep experience leading and scaling Data Science teams, ideally in trust & safety, fraud/abuse, security, risk, or other adversarial problem spaces in fast-moving environments.Bring strong technical grounding across modern DS techniques (experimentation, causal inference, anomaly detection, risk modeling, measurement design) and can coach others to execute with rigor.Have a track record of building durable partnerships across DS, Engineering, Product, and Operations—able to influence without authority and create shared accountability.Are excellent at hiring, mentoring, and developing technical talent, and can build a culture that is both high-bar and supportive.Can translate messy, evolving threats into clear frameworks, metrics, and decisions—and keep the team focused on the highest-leverage work.Are comfortable operating in ambiguity, and can bring structure, clarity, and momentum where the “right answer” isn’t obvious. Bonus if you:Have experience deploying scaled detection solutions using LLMs, embeddings, fine-tuning, or related ML systems for abuse/fraud/risk.Have worked closely with policy, content moderation, investigations, or security operations teams and understand how to design analytics that actually works end-to-end.Have built or led measurement systems that balance safety, user experience, and operational/business constraints. 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 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 associated modeling software for OpenAI’s in house AI accelerator. This role involves designing and developing drivers and functional models for a large array of HW components, writing high throughput and low latency firmware code, investigating bring-up and production issues.ResponsibilitiesDesign and implement drivers for hardware peripherals, including those related to AI chips.Design and implement functional software models to simulate SoC uncore logic and enable FW testing against the modelDesign and implement low-latency and high throughput embedded SW to manage HW resources.Work with adjacent software and hardware teams to implement requirements, debug issues and shape future generations of the hardware.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++ and/or Rust.Experience developing high throughput, low latency and multi-threaded code.Experience working with real time operating systems (RTOS).Experience developing hardware drivers and working with hardwareExperience with HW/SW co-designKnowledge 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 hardware is a plus.Experience deploying large compute clusters is a plus.To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.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 FirsthandFirsthand has built the first AI-powered Brand Agent platform, transforming the way marketers and publishers engage consumers through their own AI agents, anywhere online.While most AI applications in marketing and advertising focus on back-office automation, the Firsthand Brand Agent Platform™ powers front-line consumer engagement. Operating across both owned properties and paid media, Firsthand's Brand Agents make a company’s expertise accessible in real time, adapting to consumers’ interests and guiding them towards the information they need to take action. Central to the platform is Lakebed™, the company’s AI-first data and knowledge rights management system that ensures brands retain full ownership and control of their expertise.Firsthand is led by Jon Heller, Michael Rubenstein, and Wei Wei, whose previous ventures helped build the foundations of modern digital advertising. Backed by Radical Ventures, FirstMark Capital, Aperiam Ventures, and Crossbeam Venture Partners, Firsthand is shaping the future of AI-driven consumer engagement.Firsthand is headquartered in NYC, with team members working together in-office three days a week.The RoleFirsthand is looking for a skilled Staff Product Manager who will be responsible for inventing, designing, and implementing novel solutions for the AI landscape within the Firsthand platform. ResponsibilitiesConceptualize and design new features within the platform, using a data-informed approach and establishing clear metrics for successNavigate through ambiguity and change to collaboratively drive alignment with cross- functional teammatesWork with enterprise customers and internal stakeholders to understand their needs and incorporate those insights into product decisionsCommunicate product vision, strategy, and roadmap to key stakeholders, including senior leadership, to drive alignment and decision-makingStay informed of industry trends, emerging technologies, and best practices to drive continuous improvement and innovationQualificationsBS or MS in computer science, related scientific or technical field, or equivalent professional experience7+ years of experience in product management, preferably with 3+ years of experience building ML and AI solutions at enterprise scaleProblem-solver with the ability to create simple and intuitive solutions from complex requirementsPassion for learning and invention, as well as for efficient processes and scalable executionExperience with the product development cycle and new product launchesExcellent communicator and collaborator, with the ability to effectively share complex technical concepts with both technical and non-technical stakeholdersHow to ApplyIf you are ready to embark on an exhilarating journey at the forefront of AI, seize this incredible opportunity and apply here. We eagerly anticipate hearing from you!Note: Compensation and equity will be market-competitive for well-capitalized, early stage startups and will be discussed during the interview process.

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About ElevenLabsElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the roleWe're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up.This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment andto monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable.What you'll do:Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systemsArchitect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflowsImplement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarksPartner with ML engineers to translate research models into production-ready systems and integrate them across our product suiteDrive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision.Requirements6+ years of backend software engineering experience building production systems at scaleStrong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks)Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelinesObservability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systemsTrack record of taking products or systems from 0→1 with measurable impact, including deploying or working alongside ML/AI systems in productionBonus:Trust & Safety, Content Moderation, or Integrity engineering experienceMLOps experience: deployment, monitoring, and versioning of ML modelsExperience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architecturesFamiliarity with React or modern frontend frameworksLocationThis role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.#LI-remote

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.The Opportunity Join Arize AI's Engineering team working on OpenInference – the industry-leading open-source standard for AI observability, LLM and agent instrumentation. You'll be at the forefront of defining how organizations instrument, trace, and observe their AI applications across the entire ecosystem, shaping the future of AI development worldwide. This role puts you at the epicenter of the AI landscape, working directly on the OpenInference repository that powers AI observability for thousands of developers worldwide. You'll synthesize requirements from both the vibrant open-source community and real-world enterprise deployments, translating these diverse needs into practical instrumentation capabilities that drive the future of AI innovation. This is NOT a role for everyone – it demands exceptional technical versatility, deep community engagement, and end-to-end ownership from conception to delivery. What You’ll Do Build new LLM and instrumentation libraries for emerging LLM providers and agent frameworks Maintain and enhance existing instrumentation across Python and TypeScript ecosystems, and others (OpenAI, Anthropic, LlamaIndex, CrewAI and many more) Drive improvements to semantic conventions and OpenTelemetry standards that define AI observability Collaborate with the global developer community through GitHub, Slack, and conferences, as well as Arize PMs and solution architects Take complex problems from ideation to completion with full ownership and accountability What We’re Looking For 3-5+ years of software development experience shipping production code  Expert-level proficiency in both Python and TypeScript Community-oriented mindset with genuine passion for collaborative open-source development Deep interest in AI/LLM ecosystem with desire to stay current on emerging technologies Strong analytical skills to distill requirements from diverse sources and stakeholders Bonus Points, But Not Required Experience building SDK clients, instrumentation libraries, or platform APIs Hands-on experience with AI/ML observability or evaluation systems What Makes This Role Unique? You'll have direct impact on the AI ecosystem by building instrumentation that powers the next generation of AI applications across thousands of companies. Working at the intersection of open-source community building and enterprise-scale AI deployments, you'll help define industry standards while staying at the forefront of LLM technologies. The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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About GigaGiga is building AI agents that aim to automate 98% of enterprise support tickets and operations workflows. We deploy self-improving, emotionally intelligent agents that handle millions of customer interactions across voice, chat, and email for Fortune 100 enterprises like DoorDash.Our agents don't just respond—they continuously learn and improve, automatically increasing resolution rates from 60% to 98% through pattern recognition and policy refinement. They orchestrate complex multi-party workflows in real-time: simultaneously coordinating between customers, delivery drivers, and internal systems while cross-referencing policies and databases—all in under 500 milliseconds.Role OverviewWe're looking for a Product Manager to help us achieve our goal of automating 98% of enterprise support and operations workflows. You'll own critical parts of our AI agent platform—building the products that enable self-improving agents to handle increasingly complex scenarios without human intervention.You'll work at the intersection of cutting-edge AI capabilities and enterprise-grade product development: defining how agents learn from every interaction, orchestrating multi-party workflows across voice and chat, and expanding our platform into regulated industries like healthcare and financial services.This role requires someone who can think deeply about AI product strategy while also diving into the technical details of real-time orchestration, emotional intelligence, and enterprise compliance.What You'll OwnSelf-Improving Agent PlatformDrive the product strategy for agents that automatically improve from 60% to 98% resolutionDefine how agents learn from every interaction—pattern recognition, policy refinement, edge case handlingBuild feedback loops that identify gaps and automatically expand agent capabilitiesOwn the path from "agent handles simple cases" to "agent handles 98% of all cases"Multi-Party OrchestrationLead product strategy for complex real-time workflows (e.g., coordinating customer, driver, and merchant simultaneously)Define how agents make decisions by cross-referencing multiple data sources, policies, and external systems in real-timeOwn the sub-500ms latency experience across voice, chat, and email channelsDrive emotional intelligence features—sentiment detection, tone matching, natural conversation flowAgent Builder & ConsoleDefine the product vision for our no-code/low-code agent configuration platformOwn the policy engine, scenario builder, and custom code execution capabilitiesDrive improvements to knowledge base management and RAG integrationsShape the developer experience for teams building and customizing agentsExpansion into Regulated IndustriesPartner with healthcare, financial services, and compliance-heavy customers to understand their unique requirementsDefine product capabilities for high-compliance environments (audit trails, data privacy, regulatory adherence)Own integrations strategy (Zendesk, Salesforce, industry-specific systems)Drive the 2-week enterprise deployment goal that differentiates us from competitorsKey ResponsibilitiesProduct Strategy & ExecutionDefine and execute the roadmap toward 98% automation of support tickets and operations workflowsMake hard prioritization decisions: which agent capabilities unlock the next 10% of automated resolution?Ship features that directly move resolution rates from 90% toward 98%Translate the "enterprise operations platform" vision into concrete milestones across support, compliance, and operationsTechnical Product LeadershipUnderstand and communicate complex real-time systems (sub-500ms latency requirements)Work closely with engineering on architecture decisions and technical tradeoffsEvaluate AI model capabilities and translate them into product featuresDrive API design and developer experience for headless agents and integrationsCustomer PartnershipBuild deep relationships with Fortune 100 customers to understand why the last 10% of tickets still need humansTranslate customer feedback into agent capabilities that close the gap toward 98% automationMonitor resolution rates, identify failure patterns, and drive systematic improvementsPartner with customers in healthcare and finance to define compliance-grade automationCross-Functional CollaborationPartner with AI/ML engineers on model integration and prompt optimizationWork with Design to create intuitive experiences for complex agent configurationCollaborate with Sales on customer requirements and competitive positioningCoordinate with Customer Success on deployment and adoptionRequired Qualifications5+ years combined experience in product management and software engineeringMinimum 1 year as a software engineer - hands-on professional coding experience requiredStrong technical foundation - ability to engage in architectural discussions, read code, and understand complex distributed systemsExperience with real-time systems - voice, video, messaging, or similar latency-sensitive productsEnterprise product experience - understanding of B2B sales cycles, enterprise requirements, and platform thinkingData-driven mindset - comfort with metrics, analytics, and making decisions with imperfect informationExcellent communication - ability to translate complex technical concepts for diverse audiencesPreferred QualificationsAI/ML product experience - LLMs, conversational AI, or voice AI productsDeveloper tools experience - APIs, SDKs, platform products, or developer experienceExperience with Python - ability to prototype, analyze data, and work directly in our codebaseStartup experience - comfort with ambiguity, wearing multiple hats, and moving fastContact center or customer support domain knowledgeWhat Makes You Great for This RoleSystems thinker: You can hold the complexity of multi-channel, real-time AI systems in your head while making pragmatic product decisionsCustomer obsessed: You build deep empathy for both enterprise buyers and the end-users interacting with agentsTechnical depth: You can dive into voice pipeline latency issues, RAG retrieval quality, or webhook integration problemsBias for shipping: You prioritize getting features to customers over perfect specificationsComfort with ambiguity: You thrive when the path forward isn't clear and can make progress without complete informationAI enthusiast: You use AI tools daily and have strong intuitions about AI capabilities and limitationsWhy GigaAudacious goal: We're building toward 98% automation of enterprise operations—support is just the beginningSelf-improving systems: Our agents get better with every interaction, automatically expanding what they can handleProduction scale: Already handling millions of calls monthly for Fortune 100 companies with 90%+ resolutionTechnical differentiation: Sub-500ms multi-party orchestration and emotional intelligence that competitors can't matchMassive market: Customer support automation growing from $3B to $47B by 2034, and we're expanding into healthcare, finance, and beyondWorld-class team: Founded by Forbes 30 Under 30, backed by Redpoint and YC, growing fastHigh impact: Every feature you ship directly moves us toward a world where enterprises operate with near-complete automationCompensation & BenefitsCompetitive base salaryComprehensive health, dental, and vision coverageIn-office culture with team lunches and eventsFast-growing startup with rapid career progressionWork ArrangementIn-Person: San Francisco officeWe believe in the power of in-person collaboration for building 0-to-1 products. Flexible hours to accommodate deep work.

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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 1000+ 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 OverviewAs a Software Engineer, Agents, you'll build the systems that make our AI agents indispensable to legal professionals.You will design environments and actions for agentic professional work, make model selection decisions, manage context windows, create optimal tools, and develop evals that enable faster iteration loops to unlock new capabilities.We're looking for engineers and researchers who are immersed in the space, driven to ship impactful products, and are experienced in using practical evaluations to drive task completion quality and customer delight.Representative ProjectsSave weeks of effort on high pressure M&A deals by automating information requests and diligence checks across hundreds of thousands of files with retrieval and file editing agents.Dramatically speed up deal turnaround speed by improving the latency and quality of agents on applying a standard legal "playbook" to contracts.Ensure that our clients win their complex, data-hungry litigation cases by optimizing our multi-source retrieval agents.Enable board-ready PowerPoint generation by tuning the harness and libraries for coding agents.What You'll DoPartner with customers and PMs to understand legal workflows, design practical evaluations that capture what “excellent” means, and ship agents that get the job done.Optimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development.Work with our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns.Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions.Stay current on new developments in agentic systems and bring those learnings back to the products we build.What You HavePassion for building effective domain-specific agents.Iterative mindset: you develop proof of concepts, make decisions quickly, and ship v0s.Comfortable with when and how to use evaluations to drive quality.Humble and adaptable about code and frameworks. We expect you to drive adoption of new best practices as they develop.3+ years (post-BS/MS) of software engineering experience. We are hiring for this role across Mid, Senior, and Staff levels.Proficiency in Python and experience working with LLM APIs and agent frameworks.Experience with shipping user-facing products, either on the backend or full-stack.Compensation Range$165,000 - $312,000 USDPlease find our CA applicant privacy notice here.#LI-BB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About the team Marketing Innovation is a product engineering team embedded within OpenAI’s broader Demand Gen and Marketing organization. The team builds agentic, AI‑native systems that directly drive revenue, pipeline, and marketing leverage.Our mandate is to own and scale autonomous, customer‑facing and internal systems that operate at massive scale. This includes building autonomous, customer‑facing systems that engage with prospects, generate pipeline and revenue, and shape the future of how marketing and revenue teams operate in an AI‑native world.We focus on problems that exceed the limits of low‑code tools and long‑tail workflow automation. When a problem requires a native product experience, deep system integration, and high standards for precision, safety, and reliability, Marketing Innovation steps in. About the role We’re looking for product‑minded software engineers to join the Marketing Innovation team.As a Product Engineer on this team, you will build and own autonomous, customer‑facing agentic systems that interface directly with enterprise customers, prospects, and revenue‑critical workflows. You will partner closely with functional leaders across scaled revenue, demand gen, and marketing to understand desired outcomes, then translate those needs into production‑grade systems.You will move quickly from ambiguous problem statements to working software in production. Your work will be measured not by output, but by impact: revenue, enterprise pipeline, and Marketing efficiency.This role is ideal for engineers who want ownership over real systems, enjoy building 0->1 products, and are excited to define new categories of AI‑native products and workflows.In this role, you will:Build autonomous and semi‑autonomous customer‑facing and internal agentic systems that directly drive Revenue, Pipeline, and Marketing efficiency.Own end‑to‑end product execution, from early prototypes to reliable production systems with strong instrumentation and evals.Work across the full stack, including APIs, orchestration, data flows, frontend experiences, and deployment.Partner closely with marketing, demand gen, and enterprise sales stakeholders to define success metrics and functional requirements.Apply OpenAI models and tooling in novel ways, making informed tradeoffs between models, platforms, and architectures.Continuously iterate based on live usage, agent behavior, and performance data. You’ll thrive in this role if youHave 4+ years of experience as a software, product, or ML engineer working on user‑ or customer‑facing systems.Have built, deployed, or operated complex systems in production, ideally including agents or automation at scale.Are comfortable working without a groomed backlog and enjoy framing problems, proposing solutions, and executing end‑to‑end.Are fluent in Python or JavaScript and comfortable building full‑stack applications.Have hands‑on experience with APIs, cloud infrastructure, orchestration, and production monitoring.Are curious about modern AI models and excited to experiment with how evolving capabilities change system design.Have familiarity with sales, marketing, or go‑to‑market workflows, or are eager to learn how revenue systems operate.Operate with a strong sense of ownership, move quickly, and care deeply about measurable business outcomes.Are collaborative, pragmatic, and motivated to build at the frontier of applied AI.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.