early software engineer Jobs in San Francisco

early software engineer

founding full stack engineer Jobs in San Francisco

founding full stack engineer

full stack software engineer, enterprise agents Jobs in San Francisco

full stack software engineer, enterprise agents

senior be engineer

software engineer (backend) Jobs in San Francisco

software engineer (backend)

full stack engineer

Twill

About the RoleWe&rsquo;re looking for a Founding Full Stack Engineer to power our world-class startup. Backed by top-tier VCs and led by world-class founders, you&rsquo;ll help build the product from the ground up, translating ambitious ideas into scalable, elegant code.You&rsquo;ll work directly with the founding team to shape the technology, influence the product roadmap, and play a key role in defining the company&rsquo;s culture. This is a rare opportunity to join early, take ownership, and see your work make an immediate impact.What We&rsquo;re Looking For<ul><li>5+ years of professional software engineering experience</li><li>2 years of startup experience within the past 5 years</li><li>Strong proficiency in Python (or a similar backend language) and JavaScript or TypeScript</li><li>Experience with React or Next.js for front-end development</li><li>Familiarity with SQL and NoSQL databases</li><li>Experience building and consuming REST or GraphQL APIs</li><li>Comfort working in cloud environments such as AWS, GCP, or Azure</li><li>Strong fundamentals in performance optimization, debugging, and version control</li><li>A product-oriented mindset and enthusiasm for working in a fast-moving startup environment</li></ul>What You&rsquo;ll Do<ul><li>Build and maintain full-stack web applications from prototype to production</li><li>Collaborate with product and design to define requirements and deliver high-quality, user-friendly experiences</li><li>Write clean, scalable code across the stack from APIs to front-end components</li><li>Manage integrations, data pipelines, and deployment workflows</li><li>Establish best practices for testing, documentation, and code review</li><li>Contribute to the product&rsquo;s technical vision and help guide future hires as the team grows</li></ul>Bonus Points<ul><li>Experience with AI, data-driven products, or workflow automation tools</li><li>Familiarity with Docker, Kubernetes, or Terraform</li><li>Prior experience in an early-stage or founding engineering role</li></ul>Why You&rsquo;ll Love Working Here<ul><li>Direct collaboration with exceptional founders and advisors</li><li>Real ownership and the ability to shape both the product and the engineering culture</li><li>Fast-moving, high-trust environment that rewards initiative</li><li>Competitive compensation and meaningful equity</li></ul>Job Type: Full-timePay: $130,000.00 - $230,000.00 per yearApplication Question(s):<ul><li>Do you have 2 years of startup experience within the past 5 years?</li></ul>Experience:<ul><li>Full-Stack: 5 years (Preferred)</li></ul>Ability to Relocate:<ul><li>San Francisco, CA 94114: Relocate before starting work (Preferred)</li></ul>Work Location: In person

Founding Full Stack Engineer

OpenAI

About the Team
 
The Enterprise Agents team is scaling OpenAI with OpenAI. We apply our latest models to real-world problems in order to assist with or automate work across the company—then share what we learn back to the broader product and research teams. We’ve built an ecosystem of automation products that’s applied everywhere from customer operations to workplace to engineering.
 
We love building products for folks sitting right next to us, and we take the time to add the little big touches that delight. Our goal is to prototype fast, then build for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple, generic patterns that we can apply across many domains.
 
About the Role
 
We’re looking for an engineer who’s passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, product-minded engineers who can see the big picture while staying on top of the little details that define great products.
 
In this role, you will: 
Own the full product development lifecycle for new platform capabilities and product experiences end-to-end
 
Collaborate closely with internal customers to understand their problems and implement effective solutions
 
Work with the research team to share relevant feedback and iterate on applying their latest models
 
You might thrive in this role if you: 
4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
 
Former founder, or early engineer at a startup who has built a product from scratch is a plus
 
Proficiency with JavaScript, React, and other web technologies
 
Proficiency with a backend language (we use Python)
 
Some experience with relational databases like Postgres/MySQL
 
Interest in AI/ML (direct experience not required)
 
Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$325K – $405K + Offers Equity

Full Stack Software Engineer, Enterprise Agents

TechTree

<div>
 
 About The Company
 
 
 
 Delve automates compliance for hundreds of fast-growing startups &mdash; companies like Lovable, 11x, and Wispr Flow rely on Delve to eliminate busywork and ship securely. Backed by Insight Partners, General Catalyst, and Y Combinator, Delve recently raised a $32M Series A and is rapidly scaling its engineering team. Our founders and engineers come from OpenAI, Stanford, MIT, and Berkeley, united by the goal of automating tedious work at scale.
 
 
 
 About The Role
 
 
 
 Seeking a New Grad/Early Software Engineer to ship features, contribute to AI systems, and work across the stack with mentorship from senior engineers. Must relocate to SF and work in-person.
 
 
 We&rsquo;re looking for a New Grad/Early Software Engineer &mdash; someone technically sharp, hungry, and ready to learn fast. You&rsquo;ll ship production-grade features alongside senior engineers, contribute to AI-powered systems, and work across the stack (React, TypeScript, Node.js).
 
 
 Expect autonomy, live mentorship from ex-OpenAI engineers, and the chance to build impactful products from day one.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Ship features across the stack with mentorship from senior engineers
 </li>
 <li>
 Contribute to AI-driven product features in production
 </li>
 <li>
 Rapidly prototype ideas, test with users, and iterate fast
 </li>
 <li>
 Write clean, maintainable code and own small projects end-to-end
 </li>
 <li>
 Work in-person daily with a high-context, fast-moving team
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS or related field from Stanford, MIT, Berkeley, Harvard, or Northeastern
 </li>
 <li>
 Strong coding skills in Python or TypeScript
 </li>
 <li>
 Evidence of independent projects, hackathon wins, or open-source contributions
 </li>
 <li>
 SF-based or willing to relocate (in-person, 5 days/week)
 </li>
 <li>
 Green-carpet GitHub candidates / &ldquo;cracked&rdquo; engineers
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 TypeScript
 </li>
 <li>
 React
 </li>
 <li>
 Node.js
 </li>
 <li>
 AI-driven product development
 </li>
 <li>
 Prototyping
 </li>
 <li>
 Clean code writing
 </li>
 <li>
 Project ownership
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 100% medical, dental &amp; vision coverage (for you; partial for dependents)
 </li>
 <li>
 401(k) with employer match
 </li>
 <li>
 Unlimited PTO + federal holidays
 </li>
 <li>
 GrubHub stipend + all meals covered in-office
 </li>
 <li>
 Gym membership covered
 </li>
 <li>
 Frequent team dinners, events, and off-sites
 </li>
 <li>
 The opportunity to eliminate busywork for humanity
 
 
 </li>
 </ul>
 
 Team members
 
 
 
 <ul>
 <li>
 founders and engineers from OpenAI, Stanford, MIT, and Berkeley
 
 
 </li>
 </ul>
 
 Salary:
 
 150000 - 250000 None
</div>

Early Software Engineer

MLabs

<div>
 
 Software Engineer (New Grad - Construction Tech Platform)
 
 
 
 
 Company:
 
 Agave (YC W22)
 
 
 
 Location:
 
 San Francisco, CA (FiDi)
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Work Arrangement:
 
 On-site 5 days a week
 
 
 
 About The Role
 
 
 
 Our client is a well-funded, profitable YC-backed startup (YC W22) modernizing the
 
 $12 trillion global construction industry
 
 . They solve a massive problem: connecting fragmented, siloed software systems&mdash;many of which are 20-40 years old, on-prem, and lack modern APIs. They build proprietary APIs to connect these systems and wrap them in a modern UI to automate critical work, like syncing financial data between job sites and accounting offices. The company has over
 
 200 paying customers
 
 , is
 
 cash-flow positive
 
 , and is backed by investors like
 
 Accel
 
 and leaders from Procore and Autodesk.
 
 
 They are seeking a
 
 world-class New Grad Software Engineer
 
 who loves
 
 simplifying complex systems, unifying fragmented data, and building high-scale backend systems
 
 . This role offers high ownership and the chance to work on unique technical challenges that exist at the intersection of old-school enterprise and modern cloud infrastructure.
 
 
 
 What You'll Be Doing (Interesting Technical Challenges)
 
 
 
 Your core work will be split between backend and full-stack development, with a focus on core infrastructure:
 
 
 <ul>
 <li>
 Unification: Unifying dozens to hundreds of fragmented, heterogeneous systems under a single, generic API standard defined by the company (covering data models, authentication, and features like filtering)
 </li>
 <li>
 On-Prem Connectivity: Connecting with many types of legacy on-prem systems (SQL-based, DLL-based, API-based) and innovating to provide secure, real-time communication and webhooks where they don't natively exist
 </li>
 <li>
 Scale &amp; Speed: Handling millions of API requests per day and building elegant caching layers to efficiently store and retrieve large amounts of data, reducing latency
 </li>
 <li>
 Operational Excellence: Creating a reliable, SLA-enforced API layer on top of old, unreliable systems ("building a skyscraper on quicksand"). This involves building creative, scalable testing frameworks to catch edge cases across 1,000+ endpoints
 </li>
 <li>
 Full-Stack Development: Building internal front-end applications (Sync, Analytics) that "dog-food" their own APIs, ensuring the APIs are world-class
 </li>
 <li>
 Variety: Each new integration presents a unique "archaeological" and engineering challenge, requiring deep research into its specific nuances
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 0-1 years of experience as a backend or full-stack software engineer (New Grad level)
 </li>
 <li>
 Must be able to work independently without much guidance
 </li>
 <li>
 Loves simplifying complex systems and unifying fragmented data
 </li>
 <li>
 Must be willing to work in-person 5 days/week in San Francisco
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary: $130K - $240K
 </li>
 <li>
 Equity: 0.05% - 0.20%
 </li>
 <li>
 Visa Sponsorship: Available (TN, OPT, H1B Transfer) for US and CAN candidates
 </li>
 <li>
 Benefits include: 90% healthcare coverage, 401k match (up to 4%), sizable relocation bonus, on-site gym, and daily DoorDash stipend for dinner
 
 
 </li>
 </ul>
 
 Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
 
 
 
 
 Commitment to Equality and Accessibility:
 
 
 
 At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
 
 
 MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
</div>

Software Engineer

Twenty80

About the Role We&rsquo;re looking for a highly skilled Senior Full Stack Engineer with 5+ years of experience spanning frontend and backend development. The ideal candidate has worked at both reputable tech companies (e.g., FAANG, Databricks, Snowflake) and startups, and thrives in an environment where ownership, adaptability, and iteration are key.If you&rsquo;re a generalist who enjoys tackling complex technical challenges, shaping architectural direction, and building systems that scale &mdash; this is a great opportunity to make a major impact at an early stage of growth.What You&rsquo;ll Do<ul><li>Design and build the core intelligence engine end-to-end &mdash; including data ingestion, model orchestration, feedback loops, APIs, and UI integration.</li><li>Own architecture decisions across stack boundaries (Python / Go / TypeScript) to enable scalable and evolvable systems.</li><li>Collaborate directly with the founders on roadmap prioritization, trade-offs, and technical vision.</li><li>Define what great engineering looks like in an AI-first organization.</li><li>Occasionally engage with customers to understand needs and translate them into technical solutions.</li></ul>Tech Stack TypeScript, Python, Go, Postgres, React, Distributed Systems, Data Pipelines, AI/MLWho You Are<ul><li>5&ndash;15 years of experience in software engineering, including a senior title at a reputable tech company.</li><li>Proven experience working across different parts of the stack &mdash; frontend, backend, and infrastructure.</li><li>Strong foundations in distributed systems, data, or AI/ML.</li><li>Comfortable working in a fast-paced, ambiguous environment and thinking like an owner.</li><li>Graduate of a top computer science program (MIT, Stanford, CMU, UC Berkeley, Caltech, Harvard, University of Washington, Georgia Tech, Cornell) &mdash; preferred but not required.</li></ul>Hybrid Work Policy This is a hybrid role based in San Francisco, California, with an expectation of 3 days per week in the office at 55 Hawthorne. We value in-person collaboration as we build our early team. However, we&rsquo;re open to considering fully remote options for exceptional talent. If the right candidate prefers remote work, this could shape a long-term cultural shift toward fully remote operations.Visa Sponsorship Visa sponsorship is available. Both founders are immigrants and have a strong understanding of the immigration process. The team is committed to ensuring that sponsored individuals are supported &mdash; including working with investors to facilitate transitions to O-1 visas or placements within other portfolio companies if needed.Compensation Salary: $160,000 &ndash; $220,000 USD Equity: Competitive equity packageJob Type: Full-timePay: $160,000.00 - $220,000.00 per yearApplication Question(s):<ul><li>Do you happen to have a GitHub or portfolio link you&rsquo;d be open to sharing? It&rsquo;ll help us get a sense of your recent work. If yes, kindly share the link below.</li><li>Just to confirm, have you previously worked in a high-growth start-up (Seed to Series B stage)?</li><li>This role prefers candidates Held a senior title at a reputable company (FAANG, Databricks, Snowflake).</li></ul>FAANG refers to Facebook, Amazon, Apple, Netflix, and Google &mdash; companies recognized for their strong engineering practices and technical rigor. Have you worked at, or received training from, any organization with a similar engineering culture?Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Full-stack software engineering: 5 years (Required)</li></ul>Work Location: In person

Founding Engineer (Hybrid – San Francisco, CA)

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 Millions of people use Notion &mdash; and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion.
 
 
 The Data Product Platform team is responsible for designing, implementing, scaling and operating systems, tools and frameworks to build data powered product experiences and to enable data driven decisions. You&rsquo;ll join a team of talented engineers in our mission to build the best in class foundational data capabilities that are key to the company&rsquo;s business and product. Notion&rsquo;s data platform and infrastructure are vital to both empowering every team at Notion to make decisions using data and experimentation, and enabling our product features like search, automations, user notifications, workspace analytics and Notion AI.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 You'll own and play a pivotal role in the development of systems, tools and infrastructure that democratize data access and enable analytics capabilities across the organization.
 </li>
 <li>
 You'll work cross-functionally with engineers and partners from the Product, Data Science, Data Engineering and AI teams to deliver short- and long-term impact.
 </li>
 <li>
 You&rsquo;ll work on all levels of the stack including infrastructure, libraries and product code as needed to successfully build and deliver internal platforms that provide high leverage to multiple product teams.
 </li>
 <li>
 You&rsquo;ll help in influencing / executing the roadmap for data infrastructure and systems to power high scale product features using Notion&rsquo;s data.
 </li>
 <li>
 You'll be responsible for monitoring and operating systems in production. You&rsquo;ll understand systems deeply, optimize performance and evolve critical production systems with minimal user disruption.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Passion for systems at scale: You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house). You've experienced the challenges of scaling and re-architecting event-based platforms and infrastructure through orders of magnitude of growth and scaling data volume. You deeply care about performance and cost while delivering value.
 </li>
 <li>
 Knowledge of asynchronous workflow systems. You have worked on systems that execute tasks asynchronously, handle complex workflows, and manage job scheduling. You understand the trade-offs between different orchestration patterns and can design systems that are both reliable and scalable.
 </li>
 <li>
 Adaptable and willingness to learn how things work: you love to learn how the systems you build are used at a fundamental level. You get excited at the idea of leaning into your users&rsquo; world and help make it better.
 </li>
 <li>
 Thoughtful problem-solving &amp; problem-seeking: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. After gaining context, you can identify patterns and scope for improvements.
 </li>
 <li>
 Pragmatic and business-oriented: You care about the business impact of what you're building, and you prioritize projects accordingly. You're not just going after cool stuff&mdash;you understand the balance between craft, speed, and the bottom line.
 </li>
 <li>
 Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and disagree and commit when needed.
 </li>
 <li>
 Team player: You understand work is better, together. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You've built out and scaled event-based platforms at a fast-growing startup.
 </li>
 <li>
 You&rsquo;ve had prior experience with asynchronous workflow systems or event-based architecture, using technologies like Kafka and Redis.
 </li>
 <li>
 You&rsquo;ve had past experience working full-stack in Typescript and node.js ecosystem.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.
 
 
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $230,000 - $260,000 per year.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
</div>

Software Engineer, Data Platform Product

About the Team
 
The Enterprise Agents team is scaling OpenAI with OpenAI. We apply our latest models to real-world problems in order to assist with or automate work across the company—then share what we learn back to the broader product and research teams. We’ve built an ecosystem of automation products that’s applied everywhere from customer operations to workplace to engineering.
 
We love building products for folks sitting right next to us, and we take the time to add the little big touches that delight. Our goal is to prototype fast, then build for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple, generic patterns that we can apply across many domains.
 
About the Role
 
We’re looking for an engineer who’s passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products.
 
In this role, you will: 
Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems
 
Collaborate closely with product engineers and internal customers to understand their problems and implement effective solutions
 
Work with the research team to share relevant feedback and iterate on applying their latest models
 
Your background might look something like: 
7+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
 
Former founder, or early engineer at a startup who has built a product from scratch is a plus
 
Proficiency with JavaScript, React, and other web technologies
 
Proficiency with a backend language (we use Python)
 
Some experience with relational databases like Postgres/MySQL
 
Interest in AI/ML (direct experience not required)
 
Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$325K – $405K + Offers Equity

Backend Software Engineer, Enterprise Agents

Explore 118+ Full stack engineer in San Francisco this November. Find roles across top companies and apply now to boost your career.