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Backend-Leaning Product Engineer

About the Role Join a small, high-ownership product team at an early-stage B2B SaaS startup as a backend-leaning product engineer. You'll own customer-facing features end-to-end, navigate messy integrations and legacy systems, and...

Job Full source details
Clera (ashby) San Francisco, California, United States Source published Jun 3, 2026 Verified 5 minutes ago
✓ 80% verification score · Source: Clera (ashby) · Always confirm final requirements on the original source.
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EmploymentFull Time
CountryUnited States
DepartmentEngineering

Overview

About the Role Join a small, high-ownership product team at an early-stage B2B SaaS startup as a backend-leaning product engineer. You'll own customer-facing features end-to-end, navigate messy integrations and legacy systems, and make product and engineering trade-offs with speed and strong judgment. This is a role for someone who thrives in ambiguity, moves fast, and cares deeply about shipping real products that customers use. What You'll Do Own features end-to-end — from design through shipping and iteration — with minimal PM oversight. Build and maintain backend systems, APIs, data models, and automation pipelines. Integrate with external tools, legacy systems, and third-party services. Design workflows and orchestration for AI/automation-driven product features. Debug production issues and exercise strong engineering judgment under pressure. Collaborate closely with founders, custo

Full job description

Full Job Description

About the Role

Join a small, high-ownership product team at an early-stage B2B SaaS startup as a backend-leaning product engineer. You'll own customer-facing features end-to-end, navigate messy integrations and legacy systems, and make product and engineering trade-offs with speed and strong judgment. This is a role for someone who thrives in ambiguity, moves fast, and cares deeply about shipping real products that customers use.

What You'll Do

  • Own features end-to-end — from design through shipping and iteration — with minimal PM oversight.

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

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

  • Design workflows and orchestration for AI/automation-driven product features.

  • Debug production issues and exercise strong engineering judgment under pressure.

  • Collaborate closely with founders, customers, and cross-functional stakeholders in a hybrid San Francisco setting.

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

What We're Looking For

Required:

  • Backend-focused software engineering with hands-on experience designing, implementing, and shipping customer-facing features.

  • Demonstrated ownership of the full feature lifecycle — ideation, implementation, and iteration based on customer feedback.

  • Track record of shipping real products, ideally in 0-to-1 or ambiguous, fast-moving environments.

  • 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; hybrid/in-office presence required.

Nice to Have:

  • Experience with applied AI, agentic workflows, RAG pipelines, or LLM-enabled features.

  • Python proficiency (modern web/backend stacks considered — engineering quality matters more than specific stack).

  • Systems integration experience with external APIs and legacy platforms.

  • Early-stage startup experience or founding engineer background.

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

Compensation & Benefits

  • Base salary: up to $275,000 depending on experience.

  • Equity: meaningful equity package.

  • No visa sponsorship available.

Location

San Francisco, CA — hybrid/on-site. Candidates must be based in SF or willing to relocate.

Tips for this job

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.

Verification notes

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Original authoritative source

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