Senior Digital Product Manager

7Eleven

$108K — $130K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of relevant product management experience
  • Bachelor’s degree or equivalent
  • Strong understanding of software architecture and APIs
  • Familiarity with AI technologies and trends
  • Experience collaborating with engineering and data science teams

Responsibilities

  • Identify AI and automation opportunities for business value
  • Partner with cross-functional teams to evaluate AI use cases
  • Define product success metrics to gauge adoption and efficiency
  • Translate emerging AI trends into actionable strategies
  • Collaborate to define product requirements and technical specifications
  • Communicate complex technical concepts to non-technical stakeholders
  • Establish best practices for responsible AI and experimentation

Benefits

  • Onsite work environment in Irving, TX
  • Opportunity to work on innovative AI-powered products
  • Collaboration with diverse cross-functional teams
  • Focus on product governance and responsible AI practices
  • Participation in user research and testing initiatives
Full Job Description

The Senior Product Manager is responsible for elevating and modernizing 7-Eleven’s customers, store and franchisee facing experiences.  As a Senior Product Manager, you are responsible for defining and delivering AI-powered products and intelligent workflows that enhance customer, store, franchisee, and enterprise experiences. This role will lead product strategy, roadmap development, and execution across AI-enabled capabilities including automation, decision support, personalization, and emerging agentic AI solutions.

The ideal candidate combines strong product management fundamentals with a solid technical understanding of modern software architecture, APIs, integrations, cloud services, and AI technologies. Familiarity with AI/ML concepts, generative AI, and AI-enabled products is a plus

KEY DUTIES AND RESPONSIBILITES:

40% Strategy & Planning

  • Identify opportunities where AI, automation, and intelligent workflows can create measurable business value.
  • Partners with engineering, architecture, data science, and platform teams to evaluate and prioritize AI use cases.
  • Define product success metrics related to user adoption, operational efficiency, automation effectiveness, and business outcomes.
  • Understand emerging trends in Generative AI, Agentic AI, LLMs, and enterprise AI platforms and translate them into actionable product strategies.

40% Delivery & Execution

  • Collaborate closely with engineering teams to define product requirements involving APIs, microservices, integrations, event-driven architectures, and AI platforms.
  • Participate in technical discussions regarding system capabilities, scalability, architecture tradeoffs, and platform dependencies.
  • Translate complex business requirements into technical product requirements and user stories.
  • Work with engineering teams to evaluate AI model performance, workflow effectiveness, and operational metrics.
  • Works with user research and testing team to formulate, test and refine assumptions and hypotheses through user research and testing.
  • Support experimentation and rapid iteration through proof-of-concepts, pilots, and MVPs.

20% Team & Stakeholder

  • Fosters collaboration with team members (Engineering, UX, etc.) to drive value and identify and resolve impediments.
  • Advocates for the end user and stakeholder by becoming associated with the product, empathizing with and understanding user needs.
  • Act as the bridge between business stakeholders, engineering teams, data teams, and AI practitioners.
  • Communicate technical concepts and AI capabilities in a way that is understandable to business stakeholders.
  • Help establish best practices for responsible AI, experimentation, and product governance.

EDUCATION AND EXPERIENCE:

EDUCATION: Bachelors/4 Yr Degree

YEARS OF RELEVANT WORK EXPERIENCE: 5+ years

YEARS OF MANAGEMENT EXPERIENCE: NA

CERTIFICATIONS / LICENSES: Click or tap here to enter certifications/licenses required or preferred.

SPECIFIC KNOWLEDGE AND SKILLS:

  • Experience working with software engineering teams building APIs, microservices, cloud-native applications, or distributed systems.
  • Familiarity with modern architecture patterns including REST APIs, event-driven systems, microservices, and platform integrations.
  • Exposure to AI/ML, Generative AI, LLMs, copilots, conversational AI, or intelligent automation solutions will be a plus.
  • Experience partnering with engineering, architecture, data engineering, or data science teams.
  • Ability to understand technical design discussions and make informed product tradeoff decisions.
  • Retail, convenience, e-commerce, or digital platform experience is a plus.

* Position is onsite and based in Irving TX.

* Position not eligible for sponsorship

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