technical product manager - AI
Starbucks
Listing collected from Starbucks's career site. NextChapter is independent of Starbucks.
Nashville, TN · Posted October 19, 2026
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Where Nashville, TN ranks
Where Nashville, TN placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #2Cities hosting the most business conferences in the Southeast54 conferences · of 21
- #2Cities hosting the most accounting & audit conferences6 conferences · of 14
- #3Cities hosting the most finance conferences8 conferences · of 24
- #4Cities hosting the most staffing & human capital conferences3 conferences · of 8
- #4Cities hosting the most executive leadership conferences6 conferences · of 25
- #4Cities hosting the most human resources conferences4 conferences · of 10
Rankings about product jobs
- Best cities for product jobs #1 New York (738 openings)
- Best cities for product pay after cost of living #1 Santa Clara ($224k)
- Most requested AI skills in product jobs #1 AI product management (17.9%)
- AI tools named most often in product jobs #1 Claude (3.2%)
- Employers with the most product jobs #1 Amazon (356 roles)
Pay compared with the market
This listing does not state pay. Across 43 open technical product manager listings that state pay, the middle half runs $143,000 to $163,500 and the median is $157,500.
Listed pay is what employers advertise, not what people are paid.
Technical Product Manager salaries by state · Check your own pay
How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Starbucks has filed 6 layoff notices in the last twelve months, covering 792 workers, most recently October 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
Skills this job asks for
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About the job
From the beginning, Starbucks set out to be a different kind of company—one that not only celebrated coffee and its rich tradition, but also built meaningful connections. We are known for developing extraordinary leaders who are guided by service to others and driven to make an impact at global scale.
We are seeking a Technical Product Manager to bridge business stakeholders and our AI engineering team — translating sourcing and procurement workflows into clear, actionable product specs that an AI team can build against. You are equally comfortable in a stakeholder review, a data schema discussion, and a sprint retro. You bring domain depth in sourcing and procurement, and enough technical fluency to be a credible partner to engineers working on LLM-powered systems.
Summary of Key Responsibilities
Functional Design & Product Documentation
Own the functional design specifications and product backlog across the AI-enabled sourcing platform — you are the author and accountable party for specs that engineering builds from directly:
Translate sourcing and procurement workflows (calendaring, market intelligence, contract management, commodity analysis) into clear, engineer-ready product requirements
Define and prioritize AI-enabled features across the platform, balancing business value, data readiness, and technical feasibility
Coordinate with business stakeholders to resolve open data, integration, and policy questions that would otherwise block engineering
Drive each module's functional spec from draft through stakeholder sign-off without losing momentum
Write clear, engineer-ready user stories and acceptance criteria across all modules; keep the sprint backlog current and prioritized
Stakeholder & Gate Management
Facilitate the structured sign-off gates that govern each module's progression from product requirements through functional design, technical design, QA, and release — no phase advances without the right approver on record
Drive AI governance checkpoints in partnership 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 get decisions without engineering being blocked
Represent the team in leadership demos and status reviews; translate engineering delivery progress into a clear business-level narrative
Delivery & Roadmap
Own the phased delivery plan across releases: track which features are in the current MVP, which are deferred to the next release (data integration connectors, access control, document export), and which require AI enabler work before they can be built (LLM-powered features)
Coordinate data readiness with business partners — live enterprise system integration is the team's top cross-module blocker; coordinating
sample data, field mappings, and system-of-record decisions is an immediate priority
Run agile ceremonies (sprint planning, backlog grooming, demos, retrospectives); manage the cross-module sprint backlog alongside the Principal Engineer
Participate in UAT and AI output reviews — you hold the bar on whether a release is ready for stakeholders
Required Skills & Qualifications
Product Management
Proven ability to write crisp product requirements, functional design docs, and user stories with clear acceptance criteria — engineers can build directly from your specs
Experience running agile ceremonies: sprint planning, backlog grooming, retrospectives, and stakeholder demos
Skilled at prioritization under ambiguity — you can say no, explain the trade-off, and move the team forward
Ability to decompose complex workflows into phased delivery plans; familiar with MVP scoping and iterative rollout
Strong stakeholder management — comfortable facilitating reviews with both senior sponsors and individual contributors
Technical Fluency
Able to read and reason about API contracts, data schemas, and system diagrams — you don't write production code, but you can review it conceptually
Working knowledge of AI/ML product capabilities and limitations: RAG, LLM-based classification, agentic workflows — enough to scope feasibly and challenge estimates
Comfortable working in Jira, Linear, or equivalent for backlog management; familiar with Git-based doc workflows (Markdown, PR-based review)
Can interpret dashboards and basic data queries to investigate product questions without always needing engineering support
Domain — Sourcing & Procurement *(Strongly Preferred)*
Hands-on experience in or building products for Source-to-Contract (S2C) or Procure-to-Pay (P2P) workflows — e.g., RFx, supplier evaluation, contract lifecycle, commodity management, or spend analytics
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
Communication & Collaboration
Excellent written communication — your PRDs, status updates, and decision logs are things people actually read
Experience partnering with data, finance, and legal as internal customers or reviewers
Comfortable presenting to both technical teams and non-technical business stakeholders, adjusting depth accordingly
Nice to Have
Experience as a PM or analyst at a CPG, retail, foodservice, or global supply chain organization
Prior work on AI-enabled enterprise products (not just traditional SaaS)
Familiarity with engineering delivery metrics (e.g. deployment frequency, lead time, incident rate) and how they inform product and roadmap decisions
Basic Qualifications
Bachelor's degree in Business, Supply Chain, Computer Science, Engineering, or related field
3–6 years of product management or product analyst experience, with at least 1–2 years in a technically complex or AI-adjacent product environment
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com .
*If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
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. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.