Product Engineer (Mid-Level)

Clera•San Francisco, CA

1d•$150,000 - $300,000•Onsite

About The Position

We're a small, fast-moving team building an AI-driven talent acquisition platform that connects job seekers directly with hiring managers — no traditional applications required. As a Mid-Level Product Engineer, you'll work closely with founders, product, and design to own features end-to-end: from scoping and API design through to production deployment. This is an early-stage role where your work will directly shape both the product and the technical direction of the company.

Requirements

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 AI services into applications (engineering focus, not research).
Comfort operating in small teams with limited process, high ambiguity, and the need to move fluidly across frontend, backend, and DevOps.
Ability to design and implement complete 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 building multi-tenant or enterprise-ready systems.
Background working 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.

Responsibilities

Own end-to-end product features — from requirements scoping all the way to production deployment.
Design APIs and data models; implement frontend and backend code.
Ship user-facing experiences that balance usability and performance, iterating based on feedback and metrics.
Integrate AI/LLM capabilities into product flows to make intelligence reliable and practical 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.