Principal Product Manager, AI – Commerce Platform
Pure StorageSanta Clara, CaliforniaPosted 19 March 2026
Job Description
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.
THE ROLE
We are seeking a Principal Product Manager, AI – Commerce Platform to define and lead the next generation of AI-native commerce experiences for our sellers, partners, and customers. This role owns the strategy, development, and scaling of intelligent systems that translate complex, ambiguous user intent into precise, high-confidence commercial outcomes. You will operate at the intersection of AI, configuration, pricing, and revenue systems — evolving traditional rule-based commerce flows into adaptive, learning systems powered by modern AI.
WHAT YOU'LL DO
Define and execute the long-term strategy for AI-powered commerce and configuration systems
Lead 0→1 development of intelligent recommendation and decision-support products
Partner with Engineering, Data Science, and UX to ship production-grade AI solution
Define detailed product requirements and partner with developers on a release plan
Collaborate with UX and the technology team to develop, test, and deliver product requirements and wireframes to engineering
Design hybrid AI + deterministic system architectures that integrate with pricing, configuration, and quote-to-cash platforms
Establish evaluation frameworks, validation datasets, and model governance standards
Tie AI initiatives directly to measurable business outcomes (revenue lift, margin optimization, conversion, cycle time)
Drive experimentation, iteration, and continuous learning loops
Operationalize AI innovations for long term sustainability and success
Drive usability and adoption through close partnership with business stakeholders
Influence executive stakeholders and align cross-functional teams around AI transformation initiatives
Own the measures used to define success for your product capability. Success metrics must be defined at the inception and tracked throughout its lifecycle. Make metrics visible to stakeholders
Mentor and elevate other product managers working on AI-enabled products
We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave
WHAT YOU BRING
10+ years of product management experience, including ownership of complex enterprise platforms.
Proven experience launching AI/ML-powered products from concept through scale.
Proven experience in prompt engineering
Strong understanding of large language models, prompt strategy, and AI system evaluation.
Experience in wireframing and prototyping for iterative build of applications
Experience building hybrid systems that combine AI reasoning with structured business logic.
Background in commerce systems such as CRM, CPQ, pricing engines, configuration systems, or quote-to-cash workflows strongly preferred
Proven ability to interact with a diverse set of technical and non-technical partners and to influence, collaborate, and deliver solutions in a complex, dynamic environment
Demonstrated ability to connect product strategy to revenue and margin impact.
Strong analytical mindset with experience running experiments and defining success metrics.
Exceptional communication skills and executive presence.
#LI-ONSITE
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Salary ranges are determined based on role, level and location. For positions open to candidates in multiple geographical locations, the base salary range is reflective of the labor market across the applicable locations.
This role may be eligible for incentive pay and/or equity.
There is no application deadline and we accept applications on an ongoi ... (truncated, view full listing at source)
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