AI Digital Product Manager III

7-Eleven • Irving, TX

3d • Onsite

About The Position

The AI Product Manager III owns the end-to-end vision, strategy, roadmap, and adoption of AI-powered products and capabilities across Customer, Store, Enterprise, Engineering, and Platforms. This role translates business priorities, associate and customer needs, and emerging AI capabilities into products that are useful, trustworthy, scalable, and measurable across the Store Support Center, customer experiences, and 7-Eleven stores. The role partners closely with data science, machine learning engineering, software engineering, design, operations, merchandising, legal, risk, and other enterprise stakeholders to move AI use cases from discovery through production and continuous improvement. Success is measured by business and user outcomes, including adoption, quality, accuracy, safety, efficiency, and realized value—not simply by features shipped.

Requirements

• Bachelor's/4 Yr Degree in business, computer science, engineering, information systems, data science, or a related field.
• 5+ years of relevant product management experience, including experience delivering AI, machine learning, automation, or data products.
• Leads customer and associate research to understand workflows, trust needs, adoption barriers, and the appropriate role for AI in the experience.
• Partners with Design and Research to create intuitive AI experiences and share customer learnings across the broader team.
• Identifies knowns, unknowns, assumptions, and failure modes and defines learning plans to test AI product hypotheses.
• Designs and runs qualitative and quantitative experiments, prototypes, and evaluations to measure usefulness, quality, safety, and adoption.
• Synthesizes voice-of-customer and voice-of-associate signals into prioritized AI product recommendations with a clear action plan.
• Executes business strategy by identifying, analyzing, and synthesizing internal and external data needed to prioritize AI opportunities and make product decisions.
• Builds business cases independently and quantifies the expected and realized business impact of AI product changes.
• Understands AI competition, market trends, vendor capabilities, and regulatory developments and uses them to influence the roadmap.
• Develops data-backed frameworks to measure AI quality, adoption, safety, efficiency, and business outcomes.
• Solves ambiguous problems with tenacity, balancing speed, experimentation, quality, risk, and operational constraints.
• Demonstrates working knowledge of AI/ML product lifecycles, data pipelines, model and prompt evaluation, APIs, cloud platforms, privacy, security, and existing product architecture; recommends enhancements that deliver value.
• Understands when and how to apply machine learning, generative AI, retrieval, automation, analytics, microservices, and other technologies to solve business and user problems.
• Partners with Technology and Data Science to define and prioritize investments in data, models, platforms, tooling, monitoring, and integrations that drive customer and business benefit.
• Provides product ownership by clearly articulating goals, requirements, evaluation criteria, and guardrails; leads planning, writes and accepts stories, and pushes for quality delivery.
• Internalizes the AI product vision and communicates it consistently across teams, including the intended user value, limitations, risks, and responsible-use expectations.
• Demonstrates big-picture thinking when sequencing discovery, data, model, platform, experience, and adoption work and making trade-offs.
• Leads Product, Design, AI/ML, and stakeholder reviews for their product area.
• Tackles ambiguity independently and articulates AI product decisions, results, limitations, risks, and priorities effectively with stakeholders.
• Seeks multiple perspectives across the organization to connect dots, surface risks, and influence decisions.
• Coaches less experienced product managers on their own and partner teams in AI product management practices.

Nice To Haves

• Preferred Certifications: AI/ML, product management, cloud, or responsible AI certification preferred; not required

Responsibilities

• Identifies and prioritizes high-value AI opportunities by understanding customer, associate, store, and enterprise needs and translating them into a clear product direction.
• Defines the AI product vision, roadmap, OKRs, and success measures; communicates priorities across product, design, data science, engineering, operations, and third-party partners.
• Establishes outcome metrics and analytics for adoption, quality, accuracy, safety, efficiency, and business value; uses evidence to refine the roadmap and backlog.
• Assesses data readiness, model or prompt feasibility, integration complexity, operational risks, and expected value to make informed prioritization and trade-off decisions.
• Monitors AI research, vendor capabilities, regulatory expectations, and the competitive landscape to identify emerging opportunities and recommend fit-for-purpose solutions.
• Connects AI product decisions across upstream and downstream experiences to create coherent, explainable, and intuitive journeys for customers, associates, and operators.
• Partners with research, design, data science, and engineering teams to formulate, test, and refine AI hypotheses through user research, prototyping, experimentation, and structured evaluation.
• Translates AI product requirements into clear user stories, acceptance criteria, evaluation plans, and release milestones; drives sequencing decisions from discovery through production.
• Makes timely product decisions with minimal oversight, balancing user value, model performance, cost, latency, reliability, privacy, security, and responsible AI considerations.
• Identifies and resolves dependencies across data, models, prompts, APIs, platforms, vendors, governance, and operations; independently manages trade-offs and escalates material risks.
• Leads standups, iteration planning, product demos, model or prompt reviews, evaluation readouts, and retrospectives.
• Explains complex AI, data, and technical concepts in clear business language so stakeholders can make informed decisions.
• Drives quality documentation for product requirements, data and model assumptions, evaluation results, risks, decisions, launch plans, and operating procedures.
• Builds strong collaboration across products, UX, engineering, data science, machine learning, security, legal, risk, operations, and merchandising to deliver measurable value.
• Advocates for customers, associates, and stakeholders while becoming the recognized product expert for the AI capability, its users, and its operating context.
• Mentors more junior product managers on AI product discovery, backlog management, evaluation planning, story writing, and stakeholder communication.
• Communicates clearly at the appropriate level, translating AI strategy and responsible-use principles into prioritized short-term action and measurable outcomes.

Benefits

• For a general description of all benefits 7-Eleven is offering in the US for the position, please visit this link.
• For a general description of all benefits 7-Eleven is offering in Canada for the position, please visit this link.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior