Mid-Level Product Engineer

Clera
San Francisco, CA
On-site

Who this role is best for

Geared toward full-stack engineers comfortable with integrating AI into practical workflows, with a preference for candidates experienced in enterprise systems and able to work on-site in San Francisco.

Best fit for

  • Candidates with 2-8 years of full-stack experience and a history of delivering user-facing products in regulated or complex environments
    — “two to eight years of software engineering experience, with a track record of shipping user-facing products”
  • Individuals who have practical experience deploying AI/LLM services in production, not just research settings
    — “Practical experience integrating AI or LLM services into production applications, rather than research-only work”
  • Engineers with a strong ability to balance frontend, backend, and DevOps responsibilities in a small, fast-moving team
    — “Strong product sense, end-to-end ownership, and comfort working across frontend, backend, and DevOps in a small, fast-moving team”

Things to consider

  • On-site presence in San Francisco is required, which may limit remote candidates
    — “On-site in San Francisco, California, United States”
  • The role demands full-time commitment and ownership of features from design to deployment
    — “Own product features end to end, from scoping and design through implementation and production deployment”

How to stand out

  • Highlight specific examples of integrating AI/LLM into production workflows on your resume
    — “Integrate AI and LLM services into product workflows to provide reliable experiences for users”
  • Emphasize experience with multi-tenant or high-throughput systems in your application materials
    — “Experience with multi-tenant, enterprise-ready, real-time, or high-throughput systems is valuable”
  • Demonstrate your ability to make architectural tradeoffs during interviews
    — “Work closely with product and design partners to prioritize work, set success metrics, and make pragmatic architectural tradeoffs”
  • Showcase your proficiency in TypeScript, React, or Next.js alongside Python or Node.js
    — “Production full-stack experience with TypeScript and React or Next.js, plus backend development in Python or Node.js”
  • Include experience with PostgreSQL and cloud platforms like AWS or GCP in your technical profile
    — “Experience with PostgreSQL and a cloud platform such as AWS or GCP”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • ship user-facing products
  • design APIs and data models
  • integrate AI/LLM services
  • build scalable backend services
  • work closely with product and design partners
Typical background
2-8 years of software engineering experienceproduction full-stack experience

Skills & requirements

Required

Full-stack DevelopmentTypeScriptReactNext.jsPythonNode.jsPostgreSQLCloud Platforms (aws/gcp)Ai/llm IntegrationMulti-tenant SystemsEnterprise-ready SystemsHigh-throughput Systems

Preferred

Regulated IndustriesComplex Internal Tools

Stack & domain

TypeScriptReactNext.jsPythonNode.jsPostgreSQLAWSGCPAILLMMulti-tenantEnterprise-readyReal-timeHigh-throughputRegulated IndustriesComplex Internal ToolsProduct SenseEnd-to-end OwnershipComfort Working Across Frontend, Backend, And DevopsAI Recruiting TechnologySoftware Engineering

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE

Join an early-stage AI recruiting technology team as a full-stack product engineer. You will build reliable, user-focused products that bring AI capabilities into practical workflows, while helping shape technical direction and delivering measurable outcomes.

WHAT YOU'LL DO

  • Own product features end to end, from scoping and design through implementation and production deployment.
  • Design APIs and data models, and build frontend and backend functionality.
  • Deliver user-facing experiences, then improve usability and performance based on feedback and product metrics.
  • Integrate AI and LLM services into product workflows to provide reliable experiences for users.
  • Build scalable backend services, data schemas, and operational tooling for testing, monitoring, and CI/CD.
  • Work closely with product and design partners to prioritize work, set success metrics, and make pragmatic architectural tradeoffs.

WHAT WE'RE LOOKING FOR

  • Two to eight years of software engineering experience, with a track record of shipping user-facing products.
  • Production full-stack experience with TypeScript and React or Next.js, plus backend development in Python or Node.js.
  • Experience with PostgreSQL and a cloud platform such as AWS or GCP.
  • Practical experience integrating AI or LLM services into production applications, rather than research-only work.
  • Strong product sense, end-to-end ownership, and comfort working across frontend, backend, and DevOps in a small, fast-moving team.
  • Experience with multi-tenant, enterprise-ready, real-time, or high-throughput systems is valuable, as is experience in regulated industries or complex internal tools.

COMPENSATION & BENEFITS

Base salary: $150,000 to $300,000 annually. Visa sponsorship is not available.

LOCATION

On-site in San Francisco, California, United States.

Source: Clera careers (Ashby)

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