Technical Product Mgmt Sr Principal

Overview

ABOUT THE ROLE

We are looking for a technically sharp, operationally fluent Principal Product Manager to lead product strategy across our supply chain platforms. This is a high-impact, high-visibility role at the intersection of logistics, data science, and commerce•where you will define the roadmap, shape the architecture, and drive measurable outcomes across a complex ecosystem of supply chain products that power a $5B+ digital commerce business. The ideal candidate is as comfortable in a data warehouse as they are in a strategy session. You will partner deeply with data science and engineering to bring intelligent, automated solutions to life, while simultaneously managing a wide web of senior stakeholders across the organization.

WHAT SETS YOU APART

You are not a PM who delegates the data work•you run the analysis yourself. You know how to build trust with engineers, earn credibility with data scientists, and move senior stakeholders from ambiguity to action. You understand that great supply chain products are invisible when they work, but catastrophic when they do not•and you build accordingly.

WHY THIS ROLE

Direct ownership of mission-critical infrastructure that affects millions of transactions daily Tight collaboration with a world-class data science and AI engineering org building next-generation supply chain intelligence Highly visible scope with regular exposure to senior leadership and cross-functional executives Competitive compensation, equity, and benefits package Responsibilities Product Strategy & Roadmap Own the end-to-end product vision and multi-year roadmap for supply chain platforms, including replenishment, inventory management, order orchestration, and catalog systems Translate complex business problems into crisp, well-scoped product requirements and drive prioritization decisions with clear tradeoffs Identify white space opportunities by synthesizing data signals, customer insights, and competitive intelligence Stakeholder Management Serve as the primary product interface for a broad set of senior stakeholders across supply chain operations, finance, merchandising, and technology leadership Build strong alignment across functions by facilitating structured decision-making, managing competing priorities, and communicating product direction with clarity and confidence Influence without authority across 30-50 engineering and data partners embedded across multiple teams Data & Analytics Conduct deep-dive analyses independently•write SQL, query data platforms (Snowflake, BigQuery, Databricks), and build dashboards to uncover product insights and monitor KPIs Define and instrument the metrics framework for your product area; hold the team accountable to measurable outcomes Prototype and explore data models; generate Python or SQL scripts to test hypotheses before engineering cycles begin Data Science & ML Collaboration Partner with data science teams to scope, evaluate, and integrate ML models•including demand forecasting, replenishment algorithms, anomaly detection, and AI-generated catalog content Translate model outputs into product-facing features; define feedback loops and success criteria for model performance in production Comfortable reviewing model documentation, evaluation metrics (precision/recall, MAPE, RMSE), and contributing to feature engineering discussions Execution & Delivery Partner with engineering leads to drive agile delivery, unblock dependencies, and maintain momentum across multiple concurrent workstreams Write sharp PRDs, user stories, and acceptance criteria that minimize ambiguity and accelerate development cycles Drive go-to-market planning, rollout sequencing, and post-launch learning loops

Compensation and Benefits:

The expected compensation range for this position is between $123,500•$206,750. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 15% of annual salary paid out annually. Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement. In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications Required 8+ years of product management experience, with at least 3 years in supply chain, logistics, commerce, or operations-adjacent domains Demonstrated ability to write production-quality SQL and work hands-on in data environments (Snowflake, BigQuery, Redshift, or equivalent) Experience with Python or R for data exploration and scripting•comfort generating, reading, and iterating on code Track record of shipping ML-powered or data-intensive products in collaboration with data science teams Exceptional stakeholder management skills•able to drive alignment across senior leaders and cross-functional partners in a matrixed organization Strong communication skills with the ability to translate technical complexity into business impact for executive audiences Bachelor's degree in Computer Science, Engineering, or a quantitative field Preferred Experience at a large-scale eCommerce, marketplace, CPG, or retail technology company Familiarity with agentic AI workflows, LLM-powered automation, or AI-generated content at scale Graduate degree (MBA, MS) in a relevant field Experience working with catalog systems, MDM platforms, or product data infrastructure Exposure to supply chain planning tools (SAP IBP, o9, Kinaxis, or similar) EEO Statement Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PepsiCo is an

Equal Opportunity Employer:

Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy . Please view our Pay Transparency Statement .

Qualifications:

Required 8+ years of product management experience, with at least 3 years in supply chain, logistics, commerce, or operations-adjacent domains Demonstrated ability to write production-quality SQL and work hands-on in data environments (Snowflake, BigQuery, Redshift, or equivalent) Experience with Python or R for data exploration and scripting•comfort generating, reading, and iterating on code Track record of shipping ML-powered or data-intensive products in collaboration with data science teams Exceptional stakeholder management skills•able to drive alignment across senior leaders and cross-functional partners in a matrixed organization Strong communication skills with the ability to translate technical complexity into business impact for executive audiences Bachelor's degree in Computer Science, Engineering, or a quantitative field Preferred Experience at a large-scale eCommerce, marketplace, CPG, or retail technology company Familiarity with agentic AI workflows, LLM-powered automation, or AI-generated content at scale Graduate degree (MBA, MS) in a relevant field Experience working with catalog systems, MDM platforms, or product data infrastructure Exposure to supply chain planning tools (SAP IBP, o9, Kinaxis, or similar)