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Backend-Leaning Product Engineer

$275k

Clera

Job Description

Job Description

About the Role

We're a small, high-ownership product team in the staffing and recruiting space, 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 — with minimal process overhead and maximum autonomy. You'll work closely with founders and customers in a hybrid San Francisco setting, making meaningful product and engineering trade-offs every day.

This is an ideal role for an early or founding engineer who thrives in fast-moving, ambiguous environments and has a track record of shipping real products — especially 0-to-1 or in messy, integration-heavy contexts.

What You'll Do
  • Own features end-to-end: from ideation and design through implementation, launch, and iteration.

  • Make independent product and engineering decisions without heavy PM support.

  • 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 layers for AI/automation-driven products.

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

  • Handle full-stack work when required, while maintaining a clear backend ownership focus.

  • Collaborate directly with founders, customers, and cross-functional stakeholders.

What We're Looking For

Required:

  • Backend-focused software engineering experience — able to design, implement, and ship customer-facing backend features.

  • Demonstrated ownership of the full lifecycle of customer-facing features: ideation, implementation, and feedback loops.

  • Strong cross-functional collaboration and communication skills (product, design, data).

  • 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 in early-stage startup or high-ambiguity environments.

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

  • Applied AI experience: agentic workflows, RAG pipelines, LLM-enabled features.

  • Python proficiency; modern web/backend stacks are also welcome — engineering quality matters more than a specific stack.

  • Founder, co-founder, or founding engineer background.

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

Location

This role is on-site / hybrid in San Francisco, CA . Candidates must be based in SF or open to relocating. Visa sponsorship is not available.

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

  • Equity: meaningful equity stake commensurate with an early-stage hire.

Vacancy posted 8 days ago
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