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Founding Engineering Lead

Role overview

Qualifications

  • Typically 5 to 8 years of engineering experience
  • Experience training and deploying machine learning models in production
  • End-to-end ownership of technical architecture
  • Experience setting engineering practices and holding a team accountable

Responsibilities

  • Lead a pod of three to four engineers
  • Own core platform architecture and infrastructure decisions
  • Set engineering standards, code review criteria, and release practices
  • Evaluate applied machine learning approaches

Key facts

Hard skills

Other skills

  • Team Management
  • Problem Solving

About the company

Clera logo

Clera

Staffing & Recruiting

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Company details

IndustryStaffing & Recruiting
Company size1 - 10

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Job description

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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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