About the Role
Lead hands-on engineering and applied machine learning at an early-stage B2B SaaS company. You will shape the platform architecture and technical roadmap with the founders while leading a small engineering pod.
What You'll Do
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Build and lead a pod of engineers, supporting their growth, performance, and hiring while shipping critical work yourself.
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Own platform architecture and make build-versus-buy and infrastructure decisions.
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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 of new initiatives.
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Assess applied machine learning research and determine what is suitable for production systems.
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Partner with the CTO on product direction, model strategy, and machine learning approaches.
What We're Looking For
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Typically 5 to 8 years of engineering experience, with exceptional candidates considered from 4 to 5 years.
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Experience in an AI-native company, with technical leadership or ownership that helped build and support an engineering team.
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Hands-on experience training and deploying machine learning models in commercial production products, beyond integrating language model APIs.
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End-to-end ownership of technical architecture, infrastructure decisions, and engineering standards.
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Recent experience personally shipping production software, plus a record of stable engineering tenure.
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Strong applied machine learning judgment, including classical methods and current approaches to transformers and agent applications.
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Comfort with ambiguity, inherited code, hands-on development, and AI-assisted engineering workflows.
Compensation & Benefits
Base salary: $200,000 to $400,000 annually. Visa sponsorship is not available.
Location
On-site in New York, New York.
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