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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 Nov 9, 2026. First seen by Alion on Nov 9, 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 Berlin

About the Role

Lead hands-on engineering and applied machine learning at an early-stage B2B SaaS company. You will shape the platform architecture and technical roadmap with the founders while leading a small engineering pod.

What You'll Do

  • Build and lead a pod of engineers, supporting their growth, performance, and hiring while shipping critical work yourself.

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

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

  • Lead technical design and initial implementation of new initiatives.

  • Assess applied machine learning research and determine what is suitable for production systems.

  • Partner with the CTO on product direction, model strategy, and machine learning approaches.

What We're Looking For

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

  • Experience in an AI-native company, with technical leadership or ownership that helped build and support an engineering team.

  • Hands-on experience training and deploying machine learning models in commercial production products, beyond integrating language model APIs.

  • End-to-end ownership of technical architecture, infrastructure decisions, and engineering standards.

  • Recent experience personally shipping production software, plus a record of stable engineering tenure.

  • Strong applied machine learning judgment, including classical methods and current approaches to transformers and agent applications.

  • Comfort with ambiguity, inherited code, hands-on development, and AI-assisted engineering workflows.

Compensation & Benefits

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

Location

On-site in New York, New York.

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