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Sign inJob overview
- Location
- Remote — United States
- Workplace
- Remote
- Employment type
- Full-time
- Experience level
- Lead
- Salary
- $200K – $400K per year
- Date posted
- Oct 8, 2026
- Last checked at the source
- Oct 8, 2026
- Job source
- via Himalayas
Responsibilities
•
Build and lead a pod of three to four engineers, supporting their growth, performance, and hiring while shipping critical work yourself.
•
Own platform architecture and make build-versus-buy and infrastructure decisions.
•
Set 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 approaches and distinguish research that can support live systems from more speculative ideas.
•
Partner with company leadership on product roadmap, model strategy, and machine learning direction.
Requirements
•
At least 5 years of engineering experience, ideally as a technical founder, founding engineer, staff-level individual contributor, or technical lead.
•
Recent experience as the primary author of shipped software, with end-to-end ownership and minimal oversight.
•
Experience leading engineers and setting technical standards, architecture, and infrastructure practices.
•
Applied machine learning judgment, including classical methods, transformers, world models, and AI agents.
•
Strong practical use of AI coding agents, comfort with ambiguity and inherited code, and a willingness to take on unglamorous work.
Skills
- Machine Learning
- Leadership
Visa and relocation
✕The posting says visas are not sponsored.
?The posting doesn't mention relocation.
Job description
About the Role
Lead engineering for an early-stage SaaS team building applied AI products for enterprise software. You will own architecture and technical direction while staying hands-on, partnering with company leadership on product and machine learning strategy.
What You'll Do
•
Build and lead a pod of three to four engineers, supporting their growth, performance, and hiring while shipping critical work yourself.
•
Own platform architecture and make build-versus-buy and infrastructure decisions.
•
Set 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 approaches and distinguish research that can support live systems from more speculative ideas.
•
Partner with company leadership on product roadmap, model strategy, and machine learning direction.
What We're Looking For
•
At least 5 years of engineering experience, ideally as a technical founder, founding engineer, staff-level individual contributor, or technical lead.
•
Recent experience as the primary author of shipped software, with end-to-end ownership and minimal oversight.
•
Experience leading engineers and setting technical standards, architecture, and infrastructure practices.
•
Applied machine learning judgment, including classical methods, transformers, world models, and AI agents.
•
Strong practical use of AI coding agents, comfort with ambiguity and inherited code, and a willingness to take on unglamorous work.
Compensation & Benefits
Salary range: $200,000 to $400,000 annually. Visa sponsorship is not available.
Location
On-site in New York City.
Originally posted on Himalayas
Founding-Engineer, Engineering-Lead, Engineering-Co-Founder, Management
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