The role involves designing and building fullstack systems for AI agents, along with research and collaboration across teams to improve user experience.
About 11x
What You'll Do
Ideal Candidates Have
Most of what GTM teams do all day isn't selling. It's monotonous work like research, list-building, follow-ups, and data entry - things that should never have been a human job in the first place.
11x is building the AI platform for growth by automating the busywork so GTM teams can focus on what they do best: building relationships and closing deals.
Backed by $75M+ from a16z and Benchmark, headquartered in San Francisco, and trusted by leading teams at Checkr, Xerox, Rillet, and much more. We're hiring ambitious people who want to define how the next generation of companies accelerate growth.
About the RoleWe're looking for a fullstack engineer with a passion for applied research and cross-functional collaboration. In this role, you’ll work closely with engineering leadership and our AI partners to prototype, build, and scale the next generation of autonomous digital workers.
This is an immersive opportunity to deepen your expertise in large language model applications, system design, and human-AI interaction—while learning how fast-moving AI companies operate from the inside. You’ll gain hands-on exposure to the latest model capabilities, contribute to internal experimentation, and help translate cutting-edge ideas into real-world tools.
- Design, build, and iterate on fullstack systems that power AI agents from concept to deployment.
- Research and evaluate new approaches to agent orchestration, prompting strategies, and model alignment.
- Collaborate with product, design, and engineering teams to improve UX and usability for non-technical users.
- Share learnings, document findings, and contribute to the evolution of internal best practices.
- Participate in peer reviews, brainstorming sessions, and technical deep dives with our global team.
- 3+ years of experience in a product-oriented software engineering role.
- A strong foundation in Typescript, React, NextJS, and NodeJS.
- Experience working in fast-paced environments with a track record of rapid learning and iteration.
- Interest in research, technical writing, or contributing to knowledge-sharing within a team.
- Bonus: experience with large language models, prompt engineering, or AI infrastructure.
Base salary range: $150,000 – $250,000
*Final offer will be based on a variety of factors, including role level, relevant experience, skills, and job-related expertise.
11x 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.
11x San Francisco, California, USA Office
677 Harrison Street, San Francisco, CA, United States, 94107
Similar Jobs
Artificial Intelligence • Marketing Tech • Sales • Conversational AI
As a Senior Fullstack Software Engineer, you will design and build fullstack systems for AI agents, collaborating with engineering, product, and design teams while documenting findings and participating in technical discussions.
Top Skills:
NextjsNode.jsReactTypescript
Fintech • Payments • Software • Financial Services
Lead commercialization of emerging AI products by securing enterprise customers and strategic partners, structuring pilots, and converting them into scaled relationships. Own engagements from prospecting and negotiation through launch and optimization, while partnering with Product and Engineering to shape product strategy, pricing, implementation, and go-to-market models.
Top Skills:
AICloud InfrastructureData InfrastructureDeveloper Platforms
Fintech • Payments • Software • Financial Services
Own commercialization of Block’s emerging AI products from early pilots through scaled enterprise adoption. Develop market strategy, positioning, pricing, partnerships, and routes to market; personally secure lighthouse enterprise customers and strategic partners; design pilots that convert to production relationships; establish repeatable GTM, sales, implementation, and expansion processes; and build the commercial organization as product-market fit develops. Partner closely with Product and Engineering while shaping an emerging AI business.
Top Skills:
AICloud InfrastructureData InfrastructureDeveloper Platforms
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

