{"schemaVersion":"jobsearcher.job.v1","id":"ee31b8bc67d845950e0a80e1","url":"https://jobsearcher.com/jobs/ee31b8bc67d845950e0a80e1","canonicalUrl":"https://jobsearcher.com/jobs/ee31b8bc67d845950e0a80e1","title":"AI Optimization Engineer Remote, US","description":"Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.\nWe are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.\nRole At our core, we empower top talent with the autonomy to craft innovative solutions that make a real difference helping our users become better, faster, smarter, and more efficient.\nWe are looking for an AI Optimization Engineer to lead and define our optimization capabilities across our product suite. Your mission: reinvent how some of the countrys leading process manufacturers and distributors manage their end-to-end operations from inbound ingredient arrivals through production sequencing to outbound fleet and delivery optimization.\nThis is a greenfield role with real depth and full ownership you will set the technical direction, establish the algorithmic foundation, and drive delivery from design through production deployment. You will shape how Datacor approaches optimization across many customers, each operating under their own unique set of business constraints and operational realities. Critically, this role spans multiple Datacor products and cross‑functional teams giving you rare visibility and influence across the full business, not just a single product or vertical. Youll lead and collaborate directly with product managers, engineers, and domain experts in a fast‑moving team that values your judgment and expertise driving initiatives from problem framing through MVP and into production, seeing your work run in the real world, on the screens of operators making high‑stakes decisions every day.\nIf you are energized by hard combinatorial problems, want to build and own a solver capability from the ground up, and care about delivering things that create real impact this is the role for you.\nResponsibilities Define and lead the technical strategy for optimization use cases across Datacors product portfolio.\nTranslate complex, real‑world operational constraints into rigorous mathematical models.\nDesign, implement, and benchmark optimization algorithms including exact methods, metaheuristics (simulated annealing, tabu search, genetic algorithms), and commercial solvers (OR‑Tools, Gurobi, CPLEX, or equivalent).\nMake principled tradeoffs between solution quality, computational cost, and real‑time responsiveness.\nCollaborate closely with product, engineering, and design teams to ensure the solver doesnt just work algorithmically it becomes a solution that real users can understand, trust, and act on every day.\nDrive end-to-end delivery of optimization solutions from prototype to production working across cross‑functional teams.\nIntegrate optimization engines into production software via APIs and enterprise data pipelines.\nServe as the internal authority on optimization methods communicating algorithm design, performance, and tradeoffs clearly to both technical and business audiences.\nStay ahead of advances in OR, combinatorial optimization, and applied AI and bring new ideas and thinking that push our capabilities forward.\nQualifications Required Masters degree in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or a related quantitative field with 3+ years of hands‑on industry experience, or a PhD in a related field.\nProven track record of taking optimization solutions from problem definition to production with measurable business impact across domains such as supply chain, logistics, production scheduling, vehicle routing, or related fields.\nProficiency with at least one major OR/optimization framework: Google OR‑Tools, Gurobi, CPLEX, HiGHS, SCIP, or equivalent.\nStrong programming skills in Python; C++ or Java a plus.\nHands‑on experience with cloud platforms, particularly AWS, including deploying and scaling computational workloads.\nFamiliarity with Large Language Models (LLMs) and generative AI, and an awareness of how they can complement optimization workflows.\nExceptional communication skills able to translate complex algorithmic concepts into clear, business‑relevant terms for non‑technical stakeholders, and convey the value of your work in a way that resonates across the organization.\nAbility to model ambiguous, real‑world constraints rigorously and defend and advocate for design decisions at all levels of the organization.\nGenuinely curious you ask why the problem exists, not just how to solve it, and you bring that curiosity into every stage of the work.\nStrong product ownership mindset you take responsibility for outcomes, not just outputs, and care about whether your solution actually works for the people using it.\nOutcomes‑driven you measure success by the real‑world impact your work delivers, not by the sophistication of the technology or elegance of the process behind it. The goal is results that matter to the business and the customer.\nPreferred Impactful experience in one or more of the following: transportation, logistics, supply chain, fleet management, manufacturing or mill production scheduling, or the agri‑food industry.\nFamiliarity with geospatial data and road network routing APIs (e.g., Google Maps Platform, HERE, Mapbox).\nExperience leading optimization work within an Agile, cross‑functional product team.\nComfort integrating optimization outputs into enterprise software workflows and ERP data models.\nEOE Statement Datacor is an Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic.\nUse of AI During Interviews At Datacor, we value thoughtful problem‑solving and authentic perspectives. To ensure a fair and consistent evaluation process, we ask that candidates do not use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise. Were interested in hearing your experience, your approach, and how you think through challenges. #J-18808-Ljbffr","company":"Datacor","rawCompany":"datacor","city":"Denver","state":"CO","isRemote":true,"isActive":false,"createdAt":"2026-06-02T13:11:13.111Z","occupations":[{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"},{"code":"17-2112.00","title":"Industrial Engineers","slug":"industrial-engineers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Optimization Engineer Remote, US","description":"Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.\nWe are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.\nRole At our core, we empower top talent with the autonomy to craft innovative solutions that make a real difference helping our users become better, faster, smarter, and more efficient.\nWe are looking for an AI Optimization Engineer to lead and define our optimization capabilities across our product suite. Your mission: reinvent how some of the countrys leading process manufacturers and distributors manage their end-to-end operations from inbound ingredient arrivals through production sequencing to outbound fleet and delivery optimization.\nThis is a greenfield role with real depth and full ownership you will set the technical direction, establish the algorithmic foundation, and drive delivery from design through production deployment. You will shape how Datacor approaches optimization across many customers, each operating under their own unique set of business constraints and operational realities. Critically, this role spans multiple Datacor products and cross‑functional teams giving you rare visibility and influence across the full business, not just a single product or vertical. Youll lead and collaborate directly with product managers, engineers, and domain experts in a fast‑moving team that values your judgment and expertise driving initiatives from problem framing through MVP and into production, seeing your work run in the real world, on the screens of operators making high‑stakes decisions every day.\nIf you are energized by hard combinatorial problems, want to build and own a solver capability from the ground up, and care about delivering things that create real impact this is the role for you.\nResponsibilities Define and lead the technical strategy for optimization use cases across Datacors product portfolio.\nTranslate complex, real‑world operational constraints into rigorous mathematical models.\nDesign, implement, and benchmark optimization algorithms including exact methods, metaheuristics (simulated annealing, tabu search, genetic algorithms), and commercial solvers (OR‑Tools, Gurobi, CPLEX, or equivalent).\nMake principled tradeoffs between solution quality, computational cost, and real‑time responsiveness.\nCollaborate closely with product, engineering, and design teams to ensure the solver doesnt just work algorithmically it becomes a solution that real users can understand, trust, and act on every day.\nDrive end-to-end delivery of optimization solutions from prototype to production working across cross‑functional teams.\nIntegrate optimization engines into production software via APIs and enterprise data pipelines.\nServe as the internal authority on optimization methods communicating algorithm design, performance, and tradeoffs clearly to both technical and business audiences.\nStay ahead of advances in OR, combinatorial optimization, and applied AI and bring new ideas and thinking that push our capabilities forward.\nQualifications Required Masters degree in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or a related quantitative field with 3+ years of hands‑on industry experience, or a PhD in a related field.\nProven track record of taking optimization solutions from problem definition to production with measurable business impact across domains such as supply chain, logistics, production scheduling, vehicle routing, or related fields.\nProficiency with at least one major OR/optimization framework: Google OR‑Tools, Gurobi, CPLEX, HiGHS, SCIP, or equivalent.\nStrong programming skills in Python; C++ or Java a plus.\nHands‑on experience with cloud platforms, particularly AWS, including deploying and scaling computational workloads.\nFamiliarity with Large Language Models (LLMs) and generative AI, and an awareness of how they can complement optimization workflows.\nExceptional communication skills able to translate complex algorithmic concepts into clear, business‑relevant terms for non‑technical stakeholders, and convey the value of your work in a way that resonates across the organization.\nAbility to model ambiguous, real‑world constraints rigorously and defend and advocate for design decisions at all levels of the organization.\nGenuinely curious you ask why the problem exists, not just how to solve it, and you bring that curiosity into every stage of the work.\nStrong product ownership mindset you take responsibility for outcomes, not just outputs, and care about whether your solution actually works for the people using it.\nOutcomes‑driven you measure success by the real‑world impact your work delivers, not by the sophistication of the technology or elegance of the process behind it. The goal is results that matter to the business and the customer.\nPreferred Impactful experience in one or more of the following: transportation, logistics, supply chain, fleet management, manufacturing or mill production scheduling, or the agri‑food industry.\nFamiliarity with geospatial data and road network routing APIs (e.g., Google Maps Platform, HERE, Mapbox).\nExperience leading optimization work within an Agile, cross‑functional product team.\nComfort integrating optimization outputs into enterprise software workflows and ERP data models.\nEOE Statement Datacor is an Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic.\nUse of AI During Interviews At Datacor, we value thoughtful problem‑solving and authentic perspectives. To ensure a fair and consistent evaluation process, we ask that candidates do not use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise. Were interested in hearing your experience, your approach, and how you think through challenges. #J-18808-Ljbffr","datePosted":"2026-06-02T13:11:13.111Z","dateModified":"2026-06-02T13:11:13.111Z","hiringOrganization":{"@type":"Organization","name":"Datacor","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ee31b8bc67d845950e0a80e1"},"url":"https://jobsearcher.com/jobs/ee31b8bc67d845950e0a80e1"}}