Technical Product Manager - AI & Data

Wingstop•Dallas, TX

3h•Onsite

About The Position

Wingstop is seeking a Technical Product Manager to align AI and data investments with business priorities. The role owns product definition for Wingstop’s Applied AI office, identifying valuable problems to solve, defining metrics to demonstrate value, and creating a roadmap that connects data science capabilities to business outcomes. It works between business stakeholders and a technical team of AI engineers, data scientists, and data engineers, ensuring that solutions are adopted and deliver measurable value. The position is based at the Global Support Center in Dallas, Texas.

Requirements

Bachelor’s degree in Computer Science, Engineering, Business, Analytics, or a related field, or equivalent practical experience.
At least 6 years in product ownership, technical product management, or business systems analysis.
At least 3 years owning data, analytics, or AI/ML products end to end.
Working technical fluency in machine learning and AI, including the ability to assess feasibility and challenge approaches without writing production code.
Comfort writing SQL and independently exploring data.
Experience with Agile tooling such as Jira or Azure DevOps and Agile delivery at scale.
Experience building business cases and measuring post-launch value.
Familiarity with cloud data platforms and modern data architecture.
Exceptional written and verbal communication across technical and executive audiences.
Ability to say no, sequence tradeoffs, and defend prioritization decisions.
Strong facilitation, negotiation, and conflict-resolution skills.
Bias toward outcomes over output.
High ownership and accountability mindset.

Nice To Haves

CSPO, SAFe POPM, or equivalent Agile product certification.
Experience in a restaurant, retail, or multi-unit consumer environment.

Responsibilities

Own and prioritize the product backlog for the Applied AI and Data Science portfolio.
Partner with leaders in Operations, Digital, Supply Chain, Marketing, and Finance to identify and validate AI use cases.
Define success metrics and business cases for initiatives, and measure and report realized impact.
Write requirements, user stories, and acceptance criteria for technical delivery teams.
Run intake, prioritization, and roadmap communication for enterprise AI and data requests.
Lead sprint planning, backlog grooming, and release planning with engineering and data science teams.
Drive adoption in partnership with change management, training, and operations.
Manage stakeholder expectations about scope, timelines, and the realistic capabilities of AI systems.
Coordinate dependencies across Data Engineering, BI, Enterprise Technology, and vendor partners.
Maintain product documentation and model inventory, and make lifecycle decisions to sustain, improve, or retire products.

Benefits

Unlimited paid time off for exempt employees.
One paid volunteer day of the employee’s choice.
Competitive bonus structure for eligible roles.
Team member stock purchase plan.
Health savings or flexible spending account options.
401(k) with company contributions: dollar for dollar on the first 3% and 50 cents on the dollar for the next 2% of team member contributions, up to 5% of eligible compensation.
Comprehensive medical, dental, and vision benefits.
Basic life and AD&D insurance provided.
Pet insurance.
Education assistance.
Wellness reimbursement program.
Paid maternity and paternity leave.
Lunch provided every Tuesday and Thursday in the office.
Discount on Wingstop gift cards.
Onsite game room.