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Senior Product Manager, Applied AI & Machine Learning - Operator Suite

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: JustPark
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

About Just Park

Just Park is the premier partner offering both B2B solutions for destinations and B2C services for drivers, giving us the best of both worlds. We simplify the entire parking experience. From venues and councils to private driveways, our platform makes it simple for drivers to find, book, and pay for parking—while empowering our operating partners to deliver exceptional parking experiences.

We’ve always believed parking should be easier—from end to end. That’s why we, two trailblazing companies—Park Hub and Just Park—have come together to make that vision a reality.

Park Hub revolutionized event parking in the US, optimizing venue operations for a smoother, stress-free experience. Just Park transformed parking in the UK, turning the hunt for a spot into a simple, seamless task.

Now, as one unified company, we’re combining expertise to offer a full-service, frictionless parking solution for both businesses and consumers.

About the role

We are hiring a Senior Product Manager for Applied AI and Machine Learning — a hands‑on, deeply technical product leader who will own the AI/ML product roadmap for our Operator Suite and define, prototype, and evaluate the models behind it. This is a hybrid role that combines senior product ownership with individual-contributor depth across forecasting, dynamic pricing, route and operational optimization, real-time decisioning, and modern LLM‑based applications.

Our Operator Suite is the operational command center that venue teams use to plan events, price and distribute parking, run event‑day operations, and analyze performance. It sits within a broader B2B product line that also includes on‑site point‑of‑sale and access‑validation technology and a presell and distribution product for parking passes — all reporting into the Senior Director of Product. This role owns the Operator Suite specifically, and leads the AI/ML work that turns a decade of proprietary venue and event data into commercial value.

Part

1 — Lead Product Manager, Operator Suite
  • Develop a deep understanding of our customers, the live‑events and parking industry, the competitive landscape, and Just Park’s commercial priorities to inform product strategy.
  • Own the vision, strategy, and multi‑quarter roadmap for the Operator Suite, sequenced against measurable customer and business outcomes.
  • Partner with Engineering, Design, and Data to run discovery, define product requirements, and lead execution from concept through launch, adoption, and scale.
  • Define the input and output KPIs that determine success for the Suite, and hold the cross‑functional team accountable to hitting them.
Part 2 — AI/ML Product Leader

Own the AI portfolio across the Operator Suite: pre‑event planning and setup optimization, live‑event dynamic pricing and routing, and post‑event analytics and optimization. Start by applying commercial LLMs and best‑in‑class third‑party forecasting tools to our proprietary data; evolve to conceiving, validating, and launching proprietary predictive and generative models tuned to the economics of live events. You will operate as a hands‑on individual contributor across data science and machine learning — scoping problems, building prototypes, running evaluations, and driving candidates to production — while partnering closely with our central Data and Data Science organization on architecture, scaled deployment, and shared ML infrastructure.

  • Set and drive the AI product vision, strategy, and roadmap for the Operator Suite, from research prototype through commercial launch and continuous iteration.
  • Personally scope, prototype, and evaluate models — reading the research, writing the notebooks, interrogating the offline metrics, and pressure‑testing the online experiment design —…
Position Requirements
10+ Years work experience
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