Backend-Leaning Product Engineer

About this role

ABOUT THE ROLE

We're a small, high-ownership product team building real-world AI and automation products. As a Backend-Leaning Product Engineer, you'll own customer-facing features end-to-end — from design through shipping and iteration. You'll navigate messy integrations, legacy systems, and third-party services, and you'll make product and engineering trade-offs with speed and strong judgment. This is an early-stage environment where your work has direct, visible impact.

We're looking for someone who thrives with minimal structure, works closely with founders and customers, and is genuinely excited about building 0-to-1 products in a fast-moving hybrid SF setting.

WHAT YOU'LL DO

- Own features end-to-end — from design and implementation through shipping and iteration.

- Make product and engineering decisions independently, without heavy PM oversight.

- Build and maintain backend systems, APIs, data models, and automation pipelines.

- Integrate with external tools, legacy systems, and messy third-party services.

- Design workflows and orchestration for AI/automation-driven products.

- Debug production issues and apply strong engineering judgment under pressure.

- Balance full-stack work when required, with a clear emphasis on backend ownership.

- Collaborate closely with founders, customers, and cross-functional stakeholders.

WHAT WE'RE LOOKING FOR

Required:

- Backend-focused engineering experience with the ability to design, implement, and ship customer-facing features end-to-end.

- Track record of shipping real products — ideally in 0-to-1 or ambiguous/messy environments.

- Experience owning the full lifecycle of customer-facing features: ideation, implementation, and feedback loops.

- Strong cross-functional collaboration and communication skills.

- Must be legally eligible to work in the US without employer sponsorship.

- Based in San Francisco or willing to relocate — this role is hybrid/in-office in SF.

Nice to Have:

- Applied AI or workflow/orchestration experience (agentic workflows, RAG, LLM-enabled features).

- Systems integration experience with external APIs and third-party services.

- Python experience; modern web/backend stacks are acceptable — engineering quality matters more than stack fit.

- Background as a founding engineer, early startup generalist, or product/backend engineer at a scaling startup.

Not a fit: Frontend-only, data-only/internal-tools-only, pure DevOps/SRE without product ownership, pure research/ML without shipping experience, or candidates primarily motivated by corporate titles.

COMPENSATION & BENEFITS

- Base salary: Up to $275,000 depending on experience.

- Equity: Meaningful equity package.

- Visa sponsorship is not available — candidates must be authorized to work in the US.

LOCATION

- San Francisco, CA — hybrid/in-office required.

- Open to candidates willing to relocate to SF.

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