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Founding Engineering Lead

πŸ•’ yesterday
Engineering LeadershipMachine LearningProduction Model Training And DeploymentTechnical Architecture
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πŸ“œ Description

  • Build and lead an engineering pod, supporting team growth, performance, and hiring while shipping critical work.
  • Own platform architecture, infrastructure decisions, and build-versus-buy choices.
  • Set engineering standards for AI-assisted development, code review, releases, and on-call practices.
  • Lead technical designs and initial implementations for new initiatives.
  • Evaluate applied machine learning research for production readiness and partner on product roadmap and model strategy.
  • Remain hands-on with implementation as leadership responsibilities grow over time.

πŸ› οΈ Requirements

  • Typically 5 to 8 years of engineering experience, with 4 to 5 years considered for exceptional candidates.
  • Commercial experience training and deploying machine learning models in production, beyond integrating third-party LLM APIs.
  • Experience at an AI-native company, with technical leadership or ownership and a record of attracting strong engineering talent.
  • End-to-end ownership of technical architecture, including infrastructure and cost decisions.
  • Experience setting engineering standards and leading delivery practices for a team.
  • Recent hands-on experience shipping production software, strong applied ML judgment, and effective use of AI coding agents.
  • Comfort working through ambiguity, inherited code, and hands-on implementation.

✨ Benefits

  • Base salary: $200,000 to $400,000 USD annually. Visa sponsorship is not available.
Full job description

About the Role

Lead engineering for an early-stage SaaS company applying machine learning to enterprise software. You will shape technical architecture and product direction while leading a small engineering pod and remaining hands-on with critical builds.

What You'll Do

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

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

  • Establish 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.

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

  • Partner with technical leadership on product roadmap, model strategy, and machine learning direction.

  • Initially spend most of your time building, with leadership responsibilities growing over time.

What We're Looking For

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

  • Commercial experience training and deploying machine learning models in production, beyond integrating third-party LLM APIs.

  • Experience at an AI-native company, with technical leadership or ownership and a record of attracting strong engineering talent.

  • End-to-end ownership of technical architecture, including infrastructure and cost decisions.

  • Experience setting engineering standards and leading delivery practices for a team.

  • Recent hands-on experience shipping production software, strong applied ML judgment, and effective use of AI coding agents.

  • Comfort working through ambiguity, inherited code, and hands-on implementation.

Compensation & Benefits

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

Location

On-site in New York City, United States.

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