Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this AI Product Manager - Transportation role.
Rezi rewrites your resume against AECOM's job description. Free.

Tailor your resume to this AI Product Manager - Transportation role.
Rezi rewrites your resume against AECOM's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the AI Product Manager - Transportation posting at AECOM — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the AI Product Manager - Transportation posting at AECOM — free, in seconds.
About the Role
We are building AI that changes how infrastructure is planned, designed, and engineered. This role focuses on AI for Transportation, deciding where AI capability creates the most value for clients and turning it into products used on real projects. You will lead a small, highly technical team from problem definition through to deployed product at the intersection of transportation engineering, AI, optimisation, data science, and software engineering.
Responsibilities
- Own and evolve the product roadmap for AI-enabled transportation solutions, prioritizing problems with the greatest client and engineering value.
- Spend time with transportation teams and clients to understand where cost, time, uncertainty, and engineering effort are concentrated.
- Translate deep 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.
- Develop products that allow engineers to explore and compare large solution spaces across cost, carbon, risk, constructability, and performance.
- Define how uncertainty, confidence levels, and trade-offs should be represented for useful and defensible outputs in engineering decisions.
- Define success through measurable outcomes: better designs, faster delivery, lower cost, reduced material, improved certainty, and adoption on live projects.
- Test products on real transportation projects and use feedback from engineers and clients to iterate quickly.
- Represent the Transportation AI roadmap in discussions with market, technical, digital, and executive leadership.
- Help move successful capabilities from prototypes into robust, repeatable products deployable across AECOM globally.
Requirements
- A deep desire to challenge and change the way transportation engineering is done today.
- 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 how engineering decisions are made, 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.
- Strong communication skills and the ability to make clear decisions across client value, scope, speed, and technical feasibility.
- Demonstrated ownership of a product or technical roadmap, including prioritization, stakeholder alignment, and measurable outcomes.
- Experience in product management, technology delivery, technical leadership, or a comparable role where you have taken a complex problem from concept through to adoption.
- Background in civil engineering, transportation engineering, transport planning, or a closely related discipline.
- Experience with traffic modelling, network planning, corridor design, transport simulation, or infrastructure optimisation.
- Hands-on exposure to reinforcement learning, optimisation, probabilistic methods, simulation, or other advanced ML techniques.
- Experience with GenAI or LLM-based products applied to engineering, planning, simulation, or design workflows.
- Familiarity with GIS, BIM, transport models, network data, or geospatial analysis.
- Experience working with stochastic or probabilistic approaches to engineering and decision-making.
Skills
- AI/ML
- Product Management
- Transportation Engineering
- Optimization
- Data Science
- Software Engineering
- Reinforcement Learning
- Probabilistic Methods
- Simulation
- GenAI
- LLM
- GIS
- BIM
- Transport Models
- Network Data
- Geospatial Analysis
Location
- UK - London, Holbein Gardens
Work Type
- On-Site
Experience Level
- Product Management
- Technology Delivery
- Technical Leadership
Education Level
- Civil Engineering
- Transportation Engineering
- Transport Planning
Benefits
- Medical
- Dental
- Vision
- Life
- AD&D
- Disability benefits
- Paid time off
- Leaves of absences
- Voluntary benefits
- Perks
- Flexible work options
- Well-being resources
- Employee assistance program
- Business travel insurance
- Service recognition awards
- Retirement savings plan
- Employee stock purchase plan
About the Company
- AECOM is the global infrastructure leader, committed to delivering a better world.
- We are a trusted professional services firm powered by deep technical abilities, solving clients’ complex challenges in water, environment, energy, transportation, and buildings.
- Our teams partner with public- and private-sector clients to create innovative, sustainable, and resilient solutions throughout the project lifecycle — from advisory, planning, design, and engineering to program and construction management.
- AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025.
- You will be part of a global team that champions your growth and career ambitions.
- Work on groundbreaking projects—both in your local community and on a global scale—that are transforming our industry and shaping the future.
- With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact.
- Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned.
- Here, you’ll find a welcoming workplace built on respect, collaboration, and community—where you have the freedom to grow in a world of opportunity.
Equal Opportunity
- We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role.
- All your information will be kept confidential according to EEO guidelines.