Senior Fullstack Engineer

GW240
  • $180,000-$220,000
  • San Francisco, CA
  • Permanent

About the job


Full Stack Product Engineer - San Francisco Bay Area (Hybrid) 


A seed-stage, YC-backed startup building AI agents that help B2B and B2G sales teams win complex, high-value deals in a trillion-dollar market are looking for a Senior Full Stack Product Engineer to join their team. 


What will I be doing:


  • Owning the end-to-end development of product features, from early concept through to production
  • Leading the frontend from a technical perspective (React, TypeScript, Next.js), while contributing meaningfully to the backend (Python/Django, APIs)
  • Designing and building high-quality, intuitive user experiences for enterprise users
  • Working closely with customers and internal stakeholders to translate feedback into product improvements
  • Helping define technical direction and best practices as the engineering team scales
  • Building fast, reliable, and scalable systems in a high-growth environment (10x growth in the last 6 months)


What we are looking for:


  • 5+ years of experience in full-stack or product-focused engineering roles
  • Strong frontend expertise with React, TypeScript, and modern UI frameworks
  • Good backend experience with Python, Django, and APIs 
  • Experience building and scaling B2B or enterprise products
  • A product mindset and a high bar for UX, performance, and code quality
  • The ability to operate as a technical lead on the frontend without needing heavy process or structure
  • Strong problem-solving skills and clear communication
  • Experience integrating LLMs or AI/ML products (OpenAI, Anthropic, etc.)


What’s in it for me:


  • Compensation: $180,000–$220,000 base salary
  • Equity: 0.25% - 0.4% meaningful ownership at seed stage
  • Impact: Direct influence on product and technical direction in a fast-growing YC company
  • Growth: Work closely with experienced founders and early engineers as the company scales
  • Office: Bay Area, 2 - 4 days per week in-person


Apply now for immediate consideration!


Kirstie Moffat ML Research & Engineering Recruiter

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