About this role
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
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Lead a pod of three to four engineers, supporting their growth, performance, and hiring while remaining hands-on with key projects.
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Own core platform architecture, infrastructure decisions, build-versus-buy choices, and cost considerations.
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Set engineering standards, code review criteria, release practices, definitions of done, and on-call policies.
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Lead technical design and initial implementation for new initiatives.
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Evaluate applied machine learning approaches and distinguish techniques ready for production from those that are still speculative.
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Partner with the technical leadership team on product direction, model strategy, and the engineering roadmap.
What We're Looking For
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Typically 5 to 8 years of engineering experience, with exceptional candidates who have 4 to 5 years also considered.
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Experience training and deploying machine learning models in production, beyond integrating third-party LLM APIs.
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End-to-end ownership of technical architecture, including infrastructure and build-versus-buy decisions.
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Experience setting engineering practices and holding a team accountable as a technical or people lead.
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Recent experience personally shipping software end-to-end, along with strong hands-on coding skills.
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Applied ML judgment across classical methods and newer approaches, plus experience using AI coding agents effectively.
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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.