Remote · 19d ago
Founding Engineering Lead
Clera · posted Nov 2, 2026
Open to candidates in United States
$200k–$400k · Full-time · Lead
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What this job asks for
Extracted by RemoteHuntMust have
- •5-8 years engineering experience
- •Train/
deploy ML models in production - •Technical leadership experience
- •End-to-end technical architecture ownership
- •Set engineering standards and delivery practices
- •Hands-on production software shipping
Nice to have
- •Experience at AI-native company
- •Experience with AI coding agents
Tools and technologies
machine learning, AI
Worth checking before you apply
- Visa sponsorship is not available
Read the full posting
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.
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Own platform architecture and make build-versus-buy and infrastructure decisions.
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Establish engineering standards for AI-assisted development, including review criteria, definition of done, release cadence, and on-call practices.
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Lead technical designs and initial implementations for new initiatives.
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Assess applied machine learning research and determine what is ready for production systems.
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Partner with technical leadership on product roadmap, model strategy, and machine learning direction.
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Initially spend most of your time building, with leadership responsibilities growing over time.
What We're Looking For
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Typically 5 to 8 years of engineering experience, with 4 to 5 years considered for exceptional candidates.
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Commercial experience training and deploying machine learning models in production, beyond integrating third-party LLM APIs.
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Experience at an AI-native company, with technical leadership or ownership and a record of attracting strong engineering talent.
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End-to-end ownership of technical architecture, including infrastructure and cost decisions.
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Experience setting engineering standards and leading delivery practices for a team.
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Recent hands-on experience shipping production software, strong applied ML judgment, and effective use of AI coding agents.
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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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