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Founding Engineering Lead

πŸ•’ yesterday
Engineering LeadershipPlatform ArchitectureInfrastructureMachine Learning
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πŸ“œ Description

  • Lead and support a pod of three to four engineers, including hiring and performance development, while contributing hands-on.
  • Own platform architecture, infrastructure decisions, build-versus-buy choices, and cost considerations.
  • Establish engineering standards, code review criteria, release practices, definitions of done, and on-call policies.
  • Lead technical design and initial implementation for new initiatives.
  • Assess applied machine learning approaches for production readiness.
  • Partner with technical leadership on product direction, model strategy, and the engineering roadmap.

πŸ› οΈ Requirements

  • 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.

✨ Benefits

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