Fleetline writes optimization algorithms for enterprise trucking fleets. We work with some of the largest fleets in the country and are rapidly scaling our operations.
A bit about us
- Scaled from 0 to $Xm in contracts in under eight months; month-over-month growth is still increasing
- Lean team of 12 based in New York City; everyone deeply cares about the company’s mission, our clients, and each other. That care translates into high standards, close relationships, and intensity.
- Backed by a large seed round from top investors like BoxGroup, Base10, and more.
About the role
- Build and scale core optimization algorithms used directly in production
- Write optimization systems (e.g. MILPs, LPs, heuristics, etc.)
- Build and maintain data pipelines that operate at real production scale
- Move quickly from idea → implementation → customer usage
- Contribute to long-term product and technical direction
- Willingness to do whatever is needed technically, from deep algorithm work to integration and tooling
- Comfortable being forward-deployed: talking to customers, understanding constraints, and solving concrete problems
- In office in New York City is required.
What we’re looking for
- Has experience writing optimization algorithms (MILPs, ML, DP, RL, stochastic models, heuristics, or similar)
- A generalist who can operate across the stack when needed
- Ships code fast and often; not a perfectionist
- Comfortable working in ambiguity with incomplete information
- Extremely hardworking when part of a strong, mission-aligned team
- Background may include top startups or big tech, ex-founder / founding engineer experience, or serious side projects that are shipped and live
- Comfortable with Python and TypeScript
Pedigree is not important. We’re looking for people who are intelligent, gritty, curious, and good at moving quickly.