Product Engineer (Mid-Level)

Clera

$150K — $300K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-8 years of software engineering experience with a strong track record in user-facing products.
  • Strong full-stack development skills, particularly in TypeScript and React/Next.js for the frontend and Python or Node.js for the backend.
  • Experience with PostgreSQL and major cloud platforms like AWS or GCP.
  • Demonstrated ability to integrate AI/LLM capabilities into applications focusing on engineering rather than research.
  • Comfortable operating in a small team with a high degree of ambiguity and multi-tasking.
  • Proficient in designing and implementing features including API design, data models, and production deployment.

Responsibilities

  • Own the entire lifecycle of product features from design to deployment.
  • Design APIs and data models while implementing both frontend and backend code.
  • Ship user-facing experiences and iterate based on user feedback and performance metrics.
  • Integrate AI/LLM capabilities into product workflows for enhanced user features.
  • Create scalable backend services, data schemas, and operational tools like CI/CD and monitoring.
  • Collaborate closely with founders and product teams to prioritize tasks and define success metrics.
  • Engage in architectural discussions and make strategic trade-offs suitable for early-stage growth.

Benefits

  • Early-stage equity opportunity.
  • On-site role in San Francisco, CA; remote work not available.
Full Job Description
About the Role

We're a small, fast-moving AI startup in the talent acquisition space, and we're looking for a Mid-Level Product Engineer to join us in San Francisco. You'll contribute across the full stack - from polished user-facing experiences to robust backend services - working directly alongside founders, product, and design to ship features that matter. This is a high-ownership role for someone who thrives in early-stage environments and wants to help shape both the product and the engineering culture from the ground up.
What You'll Do
  • Own end-to-end product features from scoping and design through to production deployment.
  • Design APIs and data models; implement both frontend and backend code.
  • Ship user-facing experiences that balance usability and performance, iterating based on user feedback and metrics.
  • Integrate AI/LLM capabilities into core product flows to make intelligent features reliable and useful for end users.
  • Design and implement scalable backend services, data schemas, and operational tooling (CI/CD, monitoring, testing).
  • Collaborate directly with founders, product, and design to prioritize work and define success metrics.
  • Participate in architecture and roadmap discussions, making pragmatic tradeoffs appropriate for early-stage growth.
What We're Looking For

Must-haves:
  • 2-8 years of software engineering experience with a proven track record of shipping user-facing products.
  • Strong full-stack skills: TypeScript and React/Next.js on the frontend; Python or Node.js on the backend.
  • Experience with PostgreSQL and cloud platforms (AWS or GCP).
  • Practical, production-grade experience integrating LLMs or other AI services into applications (engineering focus, not research).
  • Comfort operating in small teams with limited process, high ambiguity, and the need to move fluidly between frontend, backend, and DevOps tasks.
  • Ability to design and implement end-to-end features including API design, data models, and deployment to production.

Nice-to-haves:
  • Experience with API design, real-time systems, and scaling high-throughput applications.
  • Familiarity with AI-assisted development workflows (e.g., Cursor or similar tools).
  • Experience delivering multi-tenant or enterprise-ready systems.
  • Background in regulated industries (healthcare, fintech, legal) or building internal tools for complex domains.
  • Strong product sense - ability to translate user problems into practical, measurable solutions.
Compensation & Benefits
  • Salary: $150,000 - $300,000 USD annually, depending on experience.
  • Early-stage equity opportunity.
  • Visa sponsorship: Not available.
Location

This role is on-site in San Francisco, CA. Remote work is not available for this position.

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