About The Position
UP.Labs is seeking a proven Lead Engineer with a track record in 0>1 environments to join a new AI platform in our portfolio. This stealth venture is reimagining how mid-market manufacturers manage production planning and scheduling- an area still dominated by spreadsheets, MRP noise, and manual firefighting. Built in partnership with a $1.5B+ truck body manufacturer, the platform is a demand-driven planning co-pilot that helps manufacturers reduce schedule volatility, improve on-time delivery, and scale operational intelligence across their plants. This is not a role for someone looking to maintain or inherit a system. You’ll join as one of the earliest technical hires, working directly with the CTO to design and build core infrastructure from the ground up, and eventually grow into leading the engineering team as the company scales.
Requirements
- 5–10+ years of engineering experience, with meaningful tenure at startups - ideally founding or early engineer who stayed and saw a product scale.
- Demonstrated 0>1 experience on a B2B SaaS product, with firsthand exposure to scaling to thousands of customers.
- Proficiency in Node.js and Python; comfort across a modern JavaScript stack.
- Experience with Azure Databricks or comparable cloud data platforms.
- Some experience leading or mentoring engineers, even informally.
- Startup grit: willing to operate solo or in a very small team and own outcomes end-to-end.
Nice To Haves
- Experience building or working within AI/ML-integrated stacks.
- Exposure to optimization algorithms, operations research, or scheduling systems.
Responsibilities
- Own backend architecture and system design decisions alongside the CTO - whiteboard to production.
- Build and scale the core platform on a Node.js / Python stack with Azure Databricks as the data layer.
- Design and implement optimization-heavy algorithms for demand planning and production scheduling.
- Establish engineering patterns, standards, and discipline as the team grows from its earliest stage.
- Collaborate directly with product and data functions - the team is small, the surface area is wide.
- Mentor and eventually lead a small team of engineers, setting the technical bar without the ego.
- Use AI as a force multiplier across development and product capabilities.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
