Senior Fullstack Engineer
GW240
Posted: 21/01/2026
- $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