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Salary
$150k – $200k per year
Location
In office (San Francisco)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Clera is a San Francisco-based AI recruiting and talent-matching platform designed as an AI talent agent for candidates and hiring teams. Acting as a tech-driven alternative to traditional headhunting, Clera directly connects job seekers to open roles at top startups backed by venture firms like Andreessen Horowitz (a16z), Y Combinator, Index Ventures, and General Catalyst.

About the Role

This is the first full-time engineering hire outside the founding team at an early-stage AI/ML startup building tools that automatically detect failures in agent conversations and generate the patches to fix them. You'll own the entire loop - from data ingestion through patch generation and verification - and set the engineering culture everyone who comes after you will inherit.

What You'll Do

  • Ship end-to-end: take problems from failure detection through ingest, patch generation, and verification into a product customers actively use.

  • Own the trust surface - reproduction logic, guardrails, and checks that prevent bad PRs from reaching customer repositories.

  • Move from customer conversation to shipped solution without waiting for formal specs or sign-off.

  • Work directly with customers: read their traces, join their channels, and surface what broke before anyone else does.

  • Make architectural calls that last - schema design, service boundaries, and speed-vs-correctness tradeoffs.

  • Define engineering culture from scratch: testing standards, on-call practices, and ship criteria.

  • Work across the full system - some weeks detection quality, some weeks the ingest pipeline, some weeks the review UI.

What We're Looking For

  • 3+ years shipping production software with a demonstrated track record of working effectively outside your core specialty.

  • Strong TypeScript proficiency across the full stack, from frontend through core services - it's the entire codebase.

  • Real comfort with high-volume data: you think in cost-per-event, not just correctness.

  • Experience building and operating AI agents in production, with clear opinions on how and why they fail.

  • Experience designing data pipelines and optimizing systems for scale and cost awareness.

  • Ability to take ambiguous customer problems and return well-considered solutions independently.

  • Experience with observability, monitoring, and debugging production systems.

  • Strong product sense - comfortable making architectural decisions with long-term system impact.

  • Bonus: experience with PR review automation, code quality tooling, or early-stage founding team environments.

Compensation & Benefits

Salary range: $150,000 - $200,000 USD annually. Visa sponsorship is available.

Location

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

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