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Salary
$200k – $400k per year
Location
Remote (New York, United States)
Seniority
Staff · 5+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 17, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.

About the Role

Join an early-stage B2B SaaS team as its hands-on engineering lead, shaping platform architecture and applied machine learning strategy alongside the technical founders. You will lead a small engineering pod while building and shipping critical product work, helping establish the technical foundation and practices for the team.

What You'll Do

  • Lead a pod of three to four engineers, supporting their growth, performance, and hiring while remaining hands-on with key projects.

  • Own core platform architecture, infrastructure decisions, build-versus-buy choices, and cost considerations.

  • Set engineering standards, code review criteria, release practices, definitions of done, and on-call policies.

  • Lead technical design and initial implementation for new initiatives.

  • Evaluate applied machine learning approaches and distinguish techniques ready for production from those that are still speculative.

  • Partner with the technical leadership team on product direction, model strategy, and the engineering roadmap.

What We're Looking For

  • Typically 5 to 8 years of engineering experience, with exceptional candidates who have 4 to 5 years also considered.

  • Experience training and deploying machine learning models in production, beyond integrating third-party LLM APIs.

  • End-to-end ownership of technical architecture, including infrastructure and build-versus-buy decisions.

  • Experience setting engineering practices and holding a team accountable as a technical or people lead.

  • Recent experience personally shipping software end-to-end, along with strong hands-on coding skills.

  • Applied ML judgment across classical methods and newer approaches, plus experience using AI coding agents effectively.

  • Comfort working through ambiguity, existing code, and practical delivery challenges.

Compensation & Benefits

Base salary is $200,000 to $400,000 annually, with equity. Visa sponsorship is not available.

Location

On-site in New York City.

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