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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 and infrastructure decisions
  • Experience setting engineering standards and leading engineers

Responsibilities

  • Build and lead a pod of three to four engineers
  • Own platform architecture and make infrastructure decisions
  • Set engineering standards for AI-assisted development
  • Evaluate applied ML research for production suitability

Key facts

Hard skills

Other skills

  • Leadership
  • Team Management
  • Decision Making
  • Problem Solving

About the company

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Clera

Staffing & Recruiting

Clera is the first AI talent agent: a personal headhunter that acts on behalf of top talent. We connect you to your dream job.

Company details

IndustryStaffing & Recruiting
Company size1 - 10

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Job description

About the Role

Lead engineering for an early-stage SaaS team building applied AI products for enterprise software. You will partner with the technical leadership team on architecture, product direction, and machine learning strategy while leading a small engineering pod and remaining hands-on with critical work.

What You'll Do

  • Build and lead a pod of three to four engineers, supporting their growth, performance, and hiring while shipping key work yourself.

  • Own platform architecture and make build-versus-buy and infrastructure decisions with product and revenue impact.

  • Set engineering standards for AI-assisted development, including review criteria, definition of done, release cadence, and on-call practices.

  • Lead technical designs and initial implementations for new initiatives.

  • Evaluate applied ML research and determine which techniques are suitable for production systems.

  • Partner with technical leadership to shape the product roadmap, model strategy, and ML approach.

  • Initially spend most of your time building, with the balance focused on team leadership.

What We're Looking For

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

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

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

  • Experience setting engineering standards and leading or managing engineers while continuing to code.

  • Strong applied ML judgment across classical methods and newer approaches, including transformers and agent applications.

  • Recent experience personally shipping production software, comfort with ambiguity and inherited code, and effective use of AI coding agents.

Compensation & Benefits

Annual salary range: $200,000 to $400,000 USD. Visa sponsorship is not available.

Location

On-site in New York City, United States.

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MR

Marcus Rivera

Chief Revenue Officer

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