Technical Product Mgmt Sr Principal

PepsiCo • Plano, TX

3d

About The Position

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

Requirements

• 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

Nice To Haves

• 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)

Responsibilities

• 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
• 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
• 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
• 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
• 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

Benefits

• Medical
• Dental
• Vision
• Disability
• Health
• Dependent Care Reimbursement Accounts
• Employee Assistance Program (EAP)
• Insurance (Accident, Group Legal, Life)
• Defined Contribution Retirement Plan
• Paid parental leave
• Vacation
• Sick
• Bereavement
• Bonus based on performance and eligibility target payout is 15% of annual salary paid out annually.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior