AI Product Manager - Transportation

AECOM
London
Workplace: OnsiteFull timeFunction: Product ManagementSkills: ["Communication","Decision-making","Stakeholder management","Collaboration","Product ownership"]

Own the direction and delivery of AI-enabled transportation products from problem definition through deployed capability. Build and evolve the product roadmap, translate transportation expertise into requirements for ML/RL researchers and software engineers, and lead technical delivery against milestones. Create solutions that expose uncertainty and enable engineers to compare options across cost, carbon, risk, and performance, with measurable outcomes validated on real transportation projects.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
AECOM
AECOM
23 hours ago

AI Product Manager - Transportation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 minutes agoStatus: Live

Job Summary

Own the direction and delivery of AI-enabled transportation products from problem definition through deployed capability. Build and evolve the product roadmap, translate transportation expertise into requirements for ML/RL researchers and software engineers, and lead technical delivery against milestones. Create solutions that expose uncertainty and enable engineers to compare options across cost, carbon, risk, and performance, with measurable outcomes validated on real transportation projects.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Director level

Key Responsibilities

  • •Own and evolve the product roadmap for AI-enabled transportation solutions, prioritising problems with the greatest client and engineering value.
  • •Translate transportation-domain knowledge into technically grounded product requirements for ML/RL researchers and software engineers.
  • •Lead ML/RL and software engineering teams to deliver working capabilities against clear milestones.
  • •Define how uncertainty, confidence levels, and trade-offs are represented so outputs remain useful and defensible in engineering decisions.
  • •Test products on real transportation projects and iterate using feedback from engineers and clients.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionPaid LeaveRetirement Savings

Key Requirements

  • •Experience in transportation infrastructure, including planning, design, engineering, modelling or network analysis.
  • •Technical fluency in modern AI/ML approaches sufficient to work credibly with ML/RL researchers, data scientists and software engineers.
  • •Strong understanding of engineering decisions, including constraints, uncertainty, trade-offs and validation.
  • •Ability to translate domain expertise and user needs into requirements technical teams can build against.
  • •Experience working across technical, engineering, client and executive audiences.
Experience:Transportation infrastructureEngineeringAI/MLOptimizationSimulation
Skills:CommunicationDecision-makingStakeholder managementCollaborationProduct ownership
Languages:English
Tech Stack:AIAI/MLMLReinforcement learningRLOptimizationSimulationGenAILLMProbabilistic methodsStochastic methodsGISBIMTransport modelsGeospatial analysisUncertainty modeling

Company Brief

AECOM
AECOM is a global infrastructure firm providing design, consulting, construction, and management services across transportation, buildings, water, environment, and energy sectors, delivering large-scale projects for public- and private-sector clients worldwide.
Industry: Civil Engineering
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Angeles, United States
Founded: 1990
Glassdoor
Glassdoor: 3.6
WebsiteLinkedInGlassdoor