# Founding Algorithm Developer - Company: [Fleetline]() - Location: New York City - Team: Engineering - Employment type: Full Time - Salary: $140K – $190K - Posted: January 9, 2026 ## Job description 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. ## Apply [Apply on Fleetline]() Canonical job page: