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Starbucks

Runs coffeehouses and licenses its coffee brand

Technical Product Manager - AI

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeNashville, TN, USANo salary listed

About the Job

Requirements

  • Proven ability to write product requirements, functional design documents, and user stories with clear acceptance criteria that engineers can build directly from.
  • Experience running agile ceremonies, including sprint planning, backlog grooming, retrospectives, and stakeholder demos.
  • Ability to prioritize under ambiguity, explain trade-offs, and keep the team moving forward.
  • Ability to decompose complex workflows into phased delivery plans; familiarity with minimum viable product scoping and iterative rollout.
  • Experience managing stakeholders and facilitating reviews with senior sponsors and individual contributors.
  • Ability to read and reason about application programming interface contracts, data schemas, and system diagrams, and review code conceptually without writing production code.
  • Working knowledge of AI and machine learning product capabilities and limitations, including retrieval-augmented generation, large language model-based classification, and agentic workflows.
  • Experience with Jira, Linear, or equivalent backlog management tools; familiarity with Git-based documentation workflows, Markdown, and pull-request-based review.
  • Ability to interpret dashboards and basic data queries to investigate product questions.
  • Hands-on experience in or experience building products for Source-to-Contract or Procure-to-Pay workflows, such as RFx, supplier evaluation, contract lifecycle, commodity management, or spend analytics.
  • Familiarity with enterprise procurement platforms such as Coupa, SAP Ariba, Oracle, Jaggaer, or similar.
  • Understanding of sourcing calendars, commodity price benchmarking, supplier performance management, or contract analytics.
  • Knowledge of compliance and auditability requirements common in enterprise procurement.
  • Experience partnering with data, finance, and legal teams as internal customers or reviewers.
  • Ability to present to technical teams and non-technical business stakeholders, adjusting the level of detail accordingly.
  • Bachelor's degree in Business, Supply Chain, Computer Science, Engineering, or a related field.
  • Three to six years of product management or product analyst experience, including at least one to two years in a technically complex or AI-adjacent product environment.

Responsibilities

  • Own functional design specifications and the product backlog across the AI-enabled sourcing platform, authoring and being accountable for specifications that engineering builds from directly.
  • Translate sourcing and procurement workflows, including calendaring, market intelligence, contract management, and commodity analysis, into clear, engineer-ready product requirements.
  • Define and prioritize AI-enabled platform features by balancing business value, data readiness, and technical feasibility.
  • Coordinate with business stakeholders to resolve data, integration, and policy questions that could block engineering.
  • Drive each module's functional specification from draft through stakeholder sign-off.
  • Write engineer-ready user stories and acceptance criteria across modules, and keep the sprint backlog current and prioritized.
  • Facilitate sign-off gates that govern each module's progress through product requirements, functional design, technical design, quality assurance, and release, ensuring the appropriate approver is recorded before a phase advances.
  • Drive AI governance checkpoints with Security, Architecture, and Legal, covering AI ethics, data privacy, model validation, and production readiness.
  • Partner with procurement, supply chain, finance, and legal stakeholders to gather requirements, resolve open questions, and obtain decisions without blocking engineering.
  • Represent the team in leadership demos and status reviews, translating engineering delivery progress into a clear business-level narrative.
  • Own the phased delivery plan across releases, tracking features in the current minimum viable product, deferred features, and features dependent on AI-enabler work.
  • Coordinate data readiness with business partners, including sample data, field mappings, and system-of-record decisions, with live enterprise-system integration identified as an immediate cross-module blocker.
  • Run agile ceremonies, including sprint planning, backlog grooming, demos, and retrospectives; manage the cross-module sprint backlog alongside the Principal Engineer.
  • Participate in user acceptance testing and AI output reviews, and determine whether a release is ready for stakeholders.

Desired Qualifications

  • Experience as a product manager or analyst at a consumer packaged goods, retail, foodservice, or global supply chain organization.
  • Prior work on AI-enabled enterprise products, beyond traditional software-as-a-service products.
  • Familiarity with engineering delivery metrics such as deployment frequency, lead time, and incident rate, and how they inform product and roadmap decisions.

About the Company

Starbucks

Runs coffeehouses and licenses its coffee brand

Starbucks runs coffeehouses around the world that serve espresso drinks, brewed coffee, tea, and food, and it roasts the arabica coffee its stores sell. It grew from a single Seattle shop selling beans into the world's largest coffeehouse chain, and it helped make Italian-style espresso drinks such as lattes an everyday habit in the United States. Customers order at the counter, at drive-throughs, or ahead through the Starbucks app, whose rewards program trades points for free drinks and food. The company earns money from cafés it operates itself and from fees paid by licensed stores in places such as airports and grocery stores. Starbucks was founded in 1971 and is based in Seattle.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1971

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