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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 27, 2026. First seen by Alion on Oct 25, 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.
Backed by TU

About the Role

Lead hands-on engineering for an applied AI and enterprise software team, shaping the technical architecture and product direction alongside the CTO and founders. You will guide a small engineering pod while personally building critical systems and helping turn machine learning into production products.

What You'll Do

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

  • Own platform architecture and make build-versus-buy and infrastructure decisions.

  • Establish engineering standards for AI-assisted development, including code review, completion criteria, release cadence, and on-call practices.

  • Lead technical design and initial implementation of new initiatives.

  • Evaluate applied ML research and determine what is ready for production systems.

  • Partner with the CTO on product roadmap, model strategy, and the engineering approach.

What We're Looking For

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

  • Experience shipping applied machine learning products, including training and deploying models in production, not only integrating LLM APIs.

  • Experience owning technical architecture end-to-end, including infrastructure and build-versus-buy decisions.

  • Track record as a technical lead, pod lead, or manager who has set engineering standards and held engineers accountable.

  • Recent hands-on software delivery, strong applied ML judgment, and practical experience using AI agents in development.

  • Experience at an AI-native company and in attracting technical talent; a stable employment history is expected.

  • Comfort with ambiguity, inherited code, and hands-on work.

Compensation & Benefits

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

Location

On-site in New York City, United States.

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