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About the Role

Starbucks is seeking a Technical Product Manager to bridge business stakeholders and their AI engineering team. This role involves translating sourcing and procurement workflows into clear, actionable product specifications for an AI team. The ideal candidate is comfortable with stakeholder reviews, data schema discussions, and sprint retrospectives, possessing domain depth in sourcing and procurement, and technical fluency to partner with engineers on LLM-powered systems.

Responsibilities

Own the functional design specifications and product backlog for the AI-enabled sourcing platform.
Translate sourcing and procurement workflows into engineer-ready product requirements.
Define and prioritize AI-enabled features, balancing business value, data readiness, and technical feasibility.
Coordinate with business stakeholders to resolve data, integration, and policy questions.
Drive functional spec sign-off for each module.
Write user stories and acceptance criteria, keeping the sprint backlog current.
Facilitate structured sign-off gates for each module's progression.
Drive AI governance checkpoints in partnership with Security, Architecture, and Legal.
Partner with procurement, supply chain, finance, and legal stakeholders to gather requirements and resolve questions.
Represent the team in leadership demos and status reviews.
Own the phased delivery plan across releases.
Coordinate data readiness with business partners.
Run agile ceremonies, managing the cross-module sprint backlog.
Participate in UAT and AI output reviews.

Requirements

Proven ability to write crisp product requirements, functional design docs, and user stories with clear acceptance criteria.
Experience running agile ceremonies: sprint planning, backlog grooming, retrospectives, and stakeholder demos.
Skilled at prioritization under ambiguity.
Ability to decompose complex workflows into phased delivery plans.
Familiar with MVP scoping and iterative rollout.
Strong stakeholder management skills.
Able to read and reason about API contracts, data schemas, and system diagrams.
Working knowledge of AI/ML product capabilities and limitations.
Comfortable working in Jira, Linear, or equivalent for backlog management.
Familiar with Git-based doc workflows.
Can interpret dashboards and basic data queries.
Hands-on experience in or building products for Source-to-Contract (S2C) or Procure-to-Pay (P2P) workflows.
Familiarity with enterprise procurement platforms (Coupa, SAP Ariba, Oracle, Jaggaer, or similar).
Understanding of sourcing calendars, commodity price benchmarking, supplier performance management, or contract analytics is a meaningful advantage.
Knowledge of compliance and auditability requirements common in enterprise procurement.
Excellent written communication skills.
Experience partnering with data, finance, and legal as internal customers or reviewers.
Comfortable presenting to both technical teams and non-technical business stakeholders.
Bachelor's degree in Business, Supply Chain, Computer Science, Engineering, or related field.
3–6 years of product management or product analyst experience.
At least 1–2 years in a technically complex or AI-adjacent product environment.

Skills

Product Management
Functional Design
Product Documentation
AI-enabled sourcing platform
Sourcing and procurement workflows
Product backlog management
User stories
Acceptance criteria
Agile ceremonies
Stakeholder management
Prioritization
MVP scoping
Iterative rollout
API contracts
Data schemas
System diagrams
AI/ML product capabilities
RAG
LLM-based classification
Agentic workflows
Jira
Linear
Git
Markdown
PR-based review
Dashboards
Data queries
Source-to-Contract (S2C)
Procure-to-Pay (P2P)
RFx
Supplier evaluation
Contract lifecycle
Commodity management
Spend analytics
Coupa
SAP Ariba
Oracle
Jaggaer
Sourcing calendars
Commodity price benchmarking
Supplier performance management
Contract analytics
Compliance
Auditability
Written communication
Data analysis
Finance
Legal
Presentation skills
AI-enabled enterprise products
Engineering delivery metrics

Location

Onsite

Work Type

Onsite (four days a week)

Experience Level

3-6 years of product management or product analyst experience
1-2 years in a technically complex or AI-adjacent product environment

Education Level

Bachelor's degree in Business, Supply Chain, Computer Science, Engineering, or related field

Benefits

Medical, dental, vision, basic and supplemental life insurance
Voluntary insurance benefits
Short-term and long-term disability
Paid parental leave
Family expansion reimbursement
Paid vacation
Sick time
Eight paid holidays
Two personal days per year
401(k) retirement plan with employer match
Discounted company stock program (S.I.P.)
Starbucks equity program (Bean Stock)
Incentivized emergency savings
Financial well-being tools
100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program
Student loan management resources
Access to other educational opportunities
Backup care
DACA reimbursement

About the Company

Starbucks set out to be a different kind of company, celebrating coffee and building meaningful connections.
Known for developing extraordinary leaders guided by service to others and driven to make an impact at global scale.

Equal Opportunity

Starbucks Coffee Company is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities.