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 signed 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.
A bit about the role and ideal matches:
Looking for generalists who are willing to do any task technically to push the team forward (from long-term product vision to integration work)
Ideally comfortable with being forward deployed — ie, enjoy talking to clients, figuring out their pain points and priorities, and then using that information to solve their problems.
Ships code fast and often; is not a perfectionist
Is an extremely hard worker when they are in a strong team environment and working on a vision they care about
Has experience at top start ups or big tech companies companies; or is an ex-founder/founding engineer; or someone who obsesses over side projects (deployed and live, ideally).
Comfortable with Python/Typescript
Pedigree is generally not important — just looking for people who are grinders, intelligent, and are good at moving quickly.
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.
","descriptionPlain":"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. \n\nA bit about us\n\n - Scaled from 0 to $Xm in contracts in under eight months; month-over-month growth is still increasing\n\n - 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.\n\n - Backed by a large seed round from top investors like BoxGroup, Base10, and more.\n\nAbout the role\n\n - Build and scale core optimization algorithms used directly in production\n\n - Write optimization systems (e.g. MILPs, LPs, heuristics, etc.)\n\n - Build and maintain data pipelines that operate at real production scale\n\n - Move quickly from idea → implementation → customer usage\n\n - Contribute to long-term product and technical direction\n\n - Willingness to do whatever is needed technically, from deep algorithm work to integration and tooling\n\n - Comfortable being forward-deployed: talking to customers, understanding constraints, and solving concrete problems\n\n - In office in New York City is required.\n\nWhat we’re looking for\n\n - Has experience writing optimization algorithms (MILPs, ML, DP, RL, stochastic models, heuristics, or similar)\n\n - A generalist who can operate across the stack when needed\n\n - Ships code fast and often; not a perfectionist\n\n - Comfortable working in ambiguity with incomplete information\n\n - Extremely hardworking when part of a strong, mission-aligned team\n\n - Background may include top startups or big tech, ex-founder / founding engineer experience, or serious side projects that are shipped and live\n\n - Comfortable with Python and TypeScript\n\nPedigree is not important. We’re looking for people who are intelligent, gritty, curious, and good at moving quickly. ","compensation":{"compensationTierSummary":"$140K – $190K • Offers Equity","scrapeableCompensationSalarySummary":"$140K - $190K","compensationTiers":[{"id":"0940313f-264a-49b0-b881-daaf66052192","tierSummary":"$140K – $190K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"5aebe1d6-1212-44b3-871a-2e33676f3ddd","summary":"$140K – $190K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":190000},{"id":"3b0f8f48-ef76-4c4e-9a9f-438c1816c2a8","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":140000,"maxValue":190000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"6db47e4e-a79f-4b55-8046-12a7706bd176","title":"Deployments / Operations","department":"Operations","team":"Operations","employmentType":"FullTime","location":"New York City","shouldDisplayCompensationOnJobPostings":false,"secondaryLocations":[],"publishedAt":"2026-06-12T02:13:01.806+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"New York","addressCountry":"United States","addressLocality":"New York City"}},"jobUrl":"https://jobs.ashbyhq.com/fleetline/6db47e4e-a79f-4b55-8046-12a7706bd176","applyUrl":"https://jobs.ashbyhq.com/fleetline/6db47e4e-a79f-4b55-8046-12a7706bd176/application","descriptionHtml":"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.
About us:
Scaled from 0 to $Xm in signed contracts in under eight months
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 deployments:
A strong deployment strategist will have the ability to lead an industrial organization through one of the largest digital transformations it has gone through in decades. This requires a few key traits:
Ethos. There are three main components that make up ethos in this context:
The ability to learn quickly; you’ll quickly gain credibility with our clients if you deeply understand transportation and logistics and the idiosyncrasies of their operations. This requires someone who can learn vast amounts of new information about a complex industry and specific corporations on the fly.
Strong communication skills
Authority; being able to speak with conviction and confidence is critical in winning the trust of management at enterprise fleets, and, correspondingly, helping lead the deployment of new technology.
Strategic thinking: Each fleet has noticeably different operations, and, as such, the deployments are rarely consistent. Being able to figure out the best organizational structure and workflows to propose to each fleet based on their particular circumstances requires a strong strategic mind.
Organization; deployment strategists will manage multiple large clients at once.
Scrappiness; being willing to do whatever it takes to push the deployment, team, and product forward, irregardless of how sexy/interesting it might be.
We’re looking for people who can in the short-term execute deployments at a high-level, and in the long-term help shape the playbook for how we deploy our software with clients and recruit a team that can execute that playbook.
Outside of deployments:
Our ideal candidate has the desire to wear many hats based on priorities. A few examples are:
Recruiting - recruiting engineers and future operations team members.
Product Management - triage issues and come up with product lines based on experiences being on the ground with clients.
Sales/GTM - helping scale our revenue function
If you have any questions, please email veer@fleetline.ai
","descriptionPlain":"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.\n\nAbout us:\n\n - Scaled from 0 to $Xm in signed contracts in under eight months\n\n - 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.\n\n - Backed by a large seed round from top investors like BoxGroup, Base10, and more.\n\nAbout deployments:\n\n - A strong deployment strategist will have the ability to lead an industrial organization through one of the largest digital transformations it has gone through in decades. This requires a few key traits:\n \n - Ethos. There are three main components that make up ethos in this context:\n \n - The ability to learn quickly; you’ll quickly gain credibility with our clients if you deeply understand transportation and logistics and the idiosyncrasies of their operations. This requires someone who can learn vast amounts of new information about a complex industry and specific corporations on the fly.\n \n - Strong communication skills\n \n - Authority; being able to speak with conviction and confidence is critical in winning the trust of management at enterprise fleets, and, correspondingly, helping lead the deployment of new technology.\n \n - Strategic thinking: Each fleet has noticeably different operations, and, as such, the deployments are rarely consistent. Being able to figure out the best organizational structure and workflows to propose to each fleet based on their particular circumstances requires a strong strategic mind.\n \n - Organization; deployment strategists will manage multiple large clients at once.\n \n - Scrappiness; being willing to do whatever it takes to push the deployment, team, and product forward, irregardless of how sexy/interesting it might be. \n\nWe’re looking for people who can in the short-term execute deployments at a high-level, and in the long-term help shape the playbook for how we deploy our software with clients and recruit a team that can execute that playbook.\n\n\nOutside of deployments:\n\nOur ideal candidate has the desire to wear many hats based on priorities. A few examples are:\n\n - Recruiting - recruiting engineers and future operations team members.\n\n - Product Management - triage issues and come up with product lines based on experiences being on the ground with clients.\n\n - Sales/GTM - helping scale our revenue function\n \n \n\nIf you have any questions, please email veer@fleetline.ai","compensation":{"compensationTierSummary":null,"scrapeableCompensationSalarySummary":null,"compensationTiers":[],"summaryComponents":[]}}],"apiVersion":"1"}