Founding Engineering Lead
Clera · Remote · US only
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First recorded by Psst: 3 November 2026. Sign in with Google to continue to the employer. A free account is enough.
The 20-second read
- Experience
- 5+ years required
- Where you can live
- US only
- Skills and tools
- machine learning, saas
- Job type
- Full-time
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Job details
- Where you can work
- United States
- Employment type
- Full-time
- Advertised pay
- $200K–400K/yr
- Experience
- 5+ years required
- Employer publication date
- 2 November 2026
- First recorded by Psst
- 3 November 2026
- Last checked at the source
- 4 November 2026
About the job
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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