Backend-leaning Product Engineer

Clera

Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Early engineer or founding engineer preferred with startup generalist experience.
  • Proven track record of delivering products in ambiguous and messy environments.
  • Experience with backend systems, APIs, data modeling, and automation.
  • Familiarity with AI applications and orchestration workflows is a plus.
  • Proficient in Python; experience with modern web/backend stacks is beneficial.
  • Demonstrated ownership of customer-facing features is essential.
  • Strong motivation for work in early-stage startup environments.

Responsibilities

  • Own features from design to shipping, ensuring end-to-end delivery.
  • Make independent product and engineering decisions without heavy management oversight.
  • Execute under pressure to deliver high-quality engineering results.
  • Build and maintain backend infrastructure including APIs and data models.
  • Integrate with external and legacy systems, managing complex third-party services.
  • Design workflows for AI-driven products with a focus on automation.
  • Collaborate with founders, customers, and cross-functional teams to align on product vision.

Benefits

  • Opportunity to own customer-facing features in a small product team.
  • High ownership and direct impact on product development.
  • Work in a fast-paced startup environment that thrives on ambiguity.
  • Hybrid work model in an innovative city like San Francisco.
Full Job Description
About the Role

Join a small, high-ownership product team as a backend-leaning product engineer focused on building real-world AI and automation products. This role matters because 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.
What You'll Do
  • Own features end-to-end from design through shipping and iteration
  • Make product and engineering decisions independently without heavy PM support
  • Execute under pressure and deliver high-quality engineering results, not just plans
  • 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
  • Work comfortably in a very small, fast-moving startup team with little structure
  • Balance full-stack work when required, with a clear emphasis on backend ownership
  • Debug production issues and exercise strong engineering judgment
  • Collaborate closely with founders, customers, and cross-functional stakeholders
What We're Looking For
  • Early engineer, founding engineer, startup generalist, or strong product/backend engineer from a scaling startup
  • Track record of shipping real products, ideally 0-to-1 or in ambiguous/messy environments
  • Experience with backend systems, APIs, data modeling, automation, and integrations
  • Applied AI or workflow/orchestration experience (agentic workflows, RAG, LLM-enabled features) is a plus
  • Python experience is a plus; modern web/backend stacks are acceptable-stack fit matters less than raw engineering quality
  • Demonstrated ownership of customer-facing features and close work with founders or customers
  • Clear motivation for early-stage startup work and comfort with ambiguity and speed
  • Not a fit: frontend-only, data-only/internal-tools-only, pure DevOps/SRE without product ownership, pure research/ML without shipping experience, or candidates motivated primarily by corporate titles
Compensation & Details

Base compensation up to $275k plus meaningful equity.
Location

San Francisco, CA, USA. Hybrid/in-office required. Candidates must be based in or willing to relocate to the area.

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