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