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

JustPark•Dallas, TX

8h•Hybrid

About The Position

JustPark is seeking a Senior Product Manager for Applied AI and Machine Learning to lead the AI/ML product roadmap for their Operator Suite. This is a hybrid role requiring deep technical expertise in areas such as forecasting, dynamic pricing, optimization, and LLM-based applications. The Operator Suite is the central command center for venue teams, managing event planning, parking pricing and distribution, event-day operations, and performance analysis. This role will leverage proprietary data to create commercial value and will report to the Senior Director of Product. The position involves defining and executing the strategy, roadmap, and delivery of the Operator Suite, understanding customer needs and the industry, and partnering with Engineering, Design, and Data teams. The role also includes owning the AI portfolio for pre-event planning, dynamic pricing, and post-event analytics, working with commercial LLMs and forecasting tools, and potentially developing proprietary models. The individual will act as a hands-on contributor in data science and machine learning, prototyping, evaluating models, and collaborating with central Data and Data Science teams. Key responsibilities include setting AI product vision, scoping and evaluating models, establishing rigorous evaluation frameworks, designing data flywheels for model improvement, and setting standards for AI product development within the company.

Requirements

5+ years in product management, with meaningful time in AI, ML, or applied data science product roles, ideally at a recognized AI-first organization.
Demonstrated commercial success shipping AI or ML products in production — not pilots or internal tools, but scaled products driving meaningful customer and business impact.
Exceptional customer discovery, stakeholder management, and executive communication skills. You can explain a model’s limits to a customer and its business case to stakeholders.
Deep, hands-on data science and machine learning background. You have personally built, evaluated, and iterated on models across supervised learning, time-series forecasting, ranking, uplift modeling, and modern LLM techniques (prompting, RAG, fine-tuning, evaluations, agentic workflows).
Working fluency with the modern ML stack: Python, SQL, Jupyter, common ML libraries (scikit-learn, PyTorch or equivalent), experiment tracking (Weights & Biases, MLflow), and at least one major cloud ML platform.
Strong grasp of experimentation and causal inference — A/B, switchback, and synthetic-control designs, and the ability to detect and correct for confounds in observational data.
Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Electrical Engineering, or a related quantitative field.

Nice To Haves

Advanced degree in Computer Science, Machine Learning, Statistics, or Operations Research.
Hands-on experience with AI/ML/DS, shipping demand forecasting, dynamic pricing, route or operational optimization, marketplace ranking, or real-time decisioning products at scale — for example Google Maps, Uber, Lyft, DoorDash, Airbnb, Booking, Expedia, Instacart, or comparable operators.
Track record of evolving a product from applied LLM and third-party model integration through to proprietary in-house models, with a clear ROI case for each transition.

Responsibilities

Own the end-to-end product lifecycle for the Operator Suite, from customer discovery and opportunity sizing through roadmap definition, launch, adoption, and scale.
Conduct rigorous customer, market, and competitive research; translate insights into a prioritized backlog of high-impact opportunities.
Partner with Engineering, Design, Data, and QA to lead discovery, define product requirements, run agile ceremonies, and ship high-quality releases on a predictable cadence.
Define pricing, packaging, and Product-Led Growth strategy, and partner with Sales, Customer Success, and Marketing to drive adoption, retention, and revenue expansion.
Establish the input and output metrics that define success for the Suite and communicate progress transparently to executive leadership, customers, and the board.
Own the AI product portfolio across the full event lifecycle — pre-event planning and setup optimization, live-event dynamic pricing and routing, and post-event analytics and optimization.
Serve as a hands-on individual contributor on model architecture, feature engineering, evaluation, and iteration in close collaboration with our central Data Science and ML Engineering teams — applying deep technical judgement rather than acting as a translator between functions.
Design and operate the offline and online evaluation systems — datasets, metrics, experiments, and guardrails — that determine when a model is ready for production and when it must be rolled back.
Own build-vs-buy decisions across commercial LLMs, third-party forecasting and data providers, and proprietary in-house models, in partnership with the CTO and Data Science leadership, and hold the ROI case for each transition.
Own AI observability, telemetry, human-in-the-loop workflows, and the safety and quality bar for every Operator Suite model in production.

Benefits

Unlimited PTO policy
Complimentary in-office barista (Dallas office)
Catered breakfast & lunch Tuesday–Thursday (Dallas office)
Weekly social events at the office (Dallas office)
Comprehensive medical & dental coverage through Blue Cross Blue Shield and Mutual of Omaha
Multiple healthcare plan options including low-deductible and HSA, plus broad supplemental benefits
Employee Assistance Program
Subscriptions to mental health assistance platforms
Generous parental leave policy
Fertility support via ARC Fertility
Pet insurance and discount plans
401(k) retirement and savings plan
Travel stipend for local employees
Regular social activities and ad hoc celebrations