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.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Optimizing fleet planning with data driven algorithms