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Founding Engineering Lead

๐Ÿ•’ yesterday
Applied Machine LearningModel TrainingProduction Model DeploymentTechnical Architecture
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๐Ÿ“œ Description

  • Lead and develop a pod of three to four engineers while staying hands-on with key projects.
  • Own platform architecture, infrastructure choices, and build-versus-buy decisions.
  • Set engineering standards for AI-assisted development, code review, releases, and on-call practices.
  • Lead technical design and initial implementation of new initiatives.
  • Assess applied ML research for production readiness.
  • Partner with the CTO on the product roadmap, model strategy, and engineering approach.

๐Ÿ› ๏ธ Requirements

  • Typically 5 to 8 years of engineering experience, with exceptional candidates considered from 4 to 5 years.
  • Experience shipping applied machine learning products, including training and deploying models in production, not only integrating LLM APIs.
  • Experience owning technical architecture end-to-end, including infrastructure and build-versus-buy decisions.
  • Track record as a technical lead, pod lead, or manager who has set engineering standards and held engineers accountable.
  • Recent hands-on software delivery, strong applied ML judgment, and practical experience using AI agents in development.
  • Experience at an AI-native company and in attracting technical talent; a stable employment history is expected.
  • Comfort with ambiguity, inherited code, and hands-on work.

โœจ Benefits

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

About the Role

Lead hands-on engineering for an applied AI and enterprise software team, shaping the technical architecture and product direction alongside the CTO and founders. You will guide a small engineering pod while personally building critical systems and helping turn machine learning into production products.

What You'll Do

  • Build and lead a pod of three to four engineers, supporting their growth, performance, and hiring while remaining hands-on with key projects.

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

  • Establish engineering standards for AI-assisted development, including code review, completion criteria, release cadence, and on-call practices.

  • Lead technical design and initial implementation of new initiatives.

  • Evaluate applied ML research and determine what is ready for production systems.

  • Partner with the CTO on product roadmap, model strategy, and the engineering approach.

What We're Looking For

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

  • Experience shipping applied machine learning products, including training and deploying models in production, not only integrating LLM APIs.

  • Experience owning technical architecture end-to-end, including infrastructure and build-versus-buy decisions.

  • Track record as a technical lead, pod lead, or manager who has set engineering standards and held engineers accountable.

  • Recent hands-on software delivery, strong applied ML judgment, and practical experience using AI agents in development.

  • Experience at an AI-native company and in attracting technical talent; a stable employment history is expected.

  • Comfort with ambiguity, inherited code, and hands-on work.

Compensation & Benefits

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

Location

On-site in New York City, United States.

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