PepsiCo · 1 day ago
Technical Product Management, Sr. Principal
New York, NY
Full-time
Onsite
Senior Level, Lead/Staff
$140K/yr - $235K/yr
7+ years expPepsiCo is a leading company focused on building innovative products using emerging technologies within its eCommerce team. They are seeking a versatile Senior Principal Technical Product Manager to develop and manage the product strategy and roadmap for machine learning-driven initiatives, collaborating with various teams to maximize adoption and value realization.
Brand MarketingFast-Moving Consumer GoodsFood and BeverageManufacturing
Responsibilities
Champion alignment on ML priorities, fostering collaboration among business and technical teams to maximize adoption and value realization
Develop and manage the Product Strategy and roadmap for ML-driven performance attribution, optimization and Generative AI initiatives through a deep understanding of business goals
Define and prioritize ML capabilities, infrastructure and tooling to accelerate model development, deployment and lifecycle management
Partner with Data Science, Data Engineering, Application Engineering and Design to deliver high-impact models and ML-driven components for internal applications
Establish standards for model governance and experimentation to ensure consistent performance, reliability, and compliance
Guide MLOps strategy across training, versioning, monitoring, and CI/CD pipeline to streamline delivery and improve model reproducibility
Qualification
Required
A BA/BS in technical or related field
7+ years' experience in product management with at least 6 years of experience product-managing machine learning teams
Experience managing products across the data science lifecycle, developing roadmaps, and integrating ML-driven components into applications
Proven track record of developing user stories or product requirement documents (PRDs)
Ability to adapt to a quickly changing, fast-paced environment
Ability to balance multiple initiatives simultaneously while driving measurable outcomes in a fast-paced environment
Deep understanding of how machine learning and artificial intelligence generate strategic value throughout the enterprise
Exceptional communicator who can translate complex ML concepts and system trade-offs into actionable business language for diverse audiences
Strong cross-functional leadership with the ability to influence technical and non-technical stakeholders to work towards a shared vision
Preferred
Extra points if you've built ML products in e-Commerce or other high-volume data environments
Benefits
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.
Company
PepsiCo
PepsiCo is a food and beverage company.
10001+ employees
H1B Sponsorship
PepsiCo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (50)
2024 (52)
2023 (62)
2022 (61)
2021 (49)
2020 (34)
Funding
Current Stage
Public CompanyTotal Funding
$4BKey Investors
Elliott Management Corp.National Safety Council
2025-09-02Post Ipo Equity· $4B
2024-06-13Grant· $0.02M
2017-12-20IPO
Leadership Team
Alex Carreteiro
CEO PepsiCo Brazil & South Cone (Chile, Arg, Uru, Par) Foods
Mohamed Shelbaya
CEO PepsiCo Middle East & Africa
Recent News
The Motley Fool
2026-02-04
Springfield Business Journal
2026-02-04
2026-02-04
Company data provided by crunchbase