Product Data Scientist System Product Management

Were 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 workwork that changes the worldis what the tech industry was founded on. So if youre ready to seize the endless opportunities and leave your mark come join us.

THE ROLE

Pure Storage is seeking a Product Data Scientist Analyst to support the Systems Product Management team within the Core Platform Business Unit (CPBU). This team owns our core systems portfolio - that supports the majority of Pures revenue at scale.

This is an AIfirst analytics role focused on answering fundamental questions about product performance product forecasting transition management and adoption across systems SKUs and features. You will combine telemetry bookings data pipeline and qualitative feedback to help systems PM team understand where the portfolio is winning where it is underperforming and why.

You will partner closely with Systems PMs Engineering Finance and GTM teams to:

• Build and refine productlevel forecasts.
• Rootcause low or uneven adoption of products and features.
• Deliver recurring and adhoc insights that shape roadmap pricing and packaging decisions.

If you are excited about using data and AI to understand complex systems products forecast demand and explain whats really happening behind the numbers this role is for you.

WHAT YOULL DO

Core Product & Portfolio Analytics

• Build and maintain dashboards recurring reports and simple selfserve views that help Systems PMs and leaders understand product health across customer segments geos and routes to market.
• Own core analytics for a set of systems products and features (e.g. platforms SKUs configurations) including definition and tracking of key KPIs such as adoption utilization attach renewal and revenue contribution
• Translate openended product questions (e.g.Why is adoption lagging for this product) into structured analytical approaches and clear defensible findings.

Forecasting & Capacity Insights

• Partner with Systems PMs and Finance to build and refine productlevel forecasts for units capacity and revenue across SKUs configurations and key segments.
• Use historical trends pipeline signals win/loss data and telemetry to inform short and mediumterm forecasts including scenario modeling for different roadmap and pricing outcomes.
• Provide forecast variance analysis: explain where and why actuals diverged from plan (e.g. mix shift competitive pressure supply issues enablement gaps) and what should change as a result.

Adoption Deep Dives & RootCause Analysis

• Conduct structured deep dives on low or uneven adoption across products and features: identify patterns by customer segment workload configuration region and route to market.
• Combine telemetry field feedback deal data and support signals to determine whether adoption issues are driven by discoverability usability performance pricing packaging competitive dynamics or operational friction.
• Produce concise adoption narratives that clearly state the problem evidence and recommended actions (e.g. roadmap changes packaging tweaks enablement migration paths).
• Track the impact of corrective actions over time and close the loop with PMs and GTM stakeholders.

AIDriven Insights & Automation

• Use modern AI tools (LLMs agents RAG copilots) to explore large complex datasets (telemetry logs case data notes) and accelerate analysis that would be difficult or too timeconsuming to do manually.
• Design and prototype AIpowered workflows and helpers - for example naturallanguage querying over product metrics anomaly detection and alerting or summarization of field and customer feedback related to systems products.
• Identify recurring analytical workflows (forecast updates adoption health checks portfolio reviews) and automate them where possible so you can focus on higherorder questions and strategic insights.

Experimentation & Decision Support

• Support design and analysis of experiments and controlled changes (e.g. packaging changes pricing trials feature defaults) that affect systems product behavior and attach.
• Quantify the business impact of roadmap decisions and GTM changes including revenue margin and utilization effects.
• Partner with Systems PMs on opportunity sizing and scenario modeling for new SKUs and platform investments.

Data Foundations & CrossFunctional Collaboration

• Work with Data Engineering BI and telemetry teams to define reliable event taxonomies data contracts and quality checks for key systems product signals.
• Help maintain consistent metrics definitions and semantic layers so that CPBU stakeholders are working from a single source of truth.
• Act as the primary analytics partner for a subset of Systems PMs and as a key contributor to quarterly and annual business reviews for the systems portfolio.

WHAT YOU BRING

• 36 years of experience in product analytics data analytics or business analytics ideally supporting product management in B2B infrastructure cloud or systemsoriented businesses.
• Demonstrated track record of building forecasts performance reviews and deepdive analyses that influenced roadmap pricing or portfolio decisions.
• Experience working directly with Product Management and crossfunctional partners (Engineering Finance Sales Operations) on datadriven decisionmaking.
• StrongSQL skills; comfortable working with large complex datasets and optimizing queries for performance
• Experience with at least one modernBI/visualization tool (e.g. Tableau Power BI Looker or similar).
• Practical experience withPython (or a similar language) for data analysis modeling and building analytical workflows.
• Working familiarity withforecasting and timeseries analysis concepts; able to build interpret and refine forecasts in partnership with PM and Finance.
• Handson experience usingAI/LLM tools in analytical work (e.g. notebook copilots NLtoSQL log and feedback summarization internal agents/automations).
• Strong business and product sense; able to connect metrics and trends to realworld behavior and systems product strategy.
• Excellent communication skills and the ability to produce clear concise written narratives and presentations for executives and crossfunctional teams.
• Bias toward action curiosity and structured problem solving you enjoy askingwhy until the root cause is clear and then helping teams decide so what and what next.
• Experience with systems or infrastructure products (storage compute VMware ecosystems cloud platforms or similar).
• Familiarity with product analytics platforms and eventdriven data models.
• Exposure toportfolio management or SKUlevel analytics (mix attach cannibalization lifecycle).
• Experience building or integratingAIpowered decisionsupport tools for product and portfolio teams.

#LI-ONSITE

WHAT YOU CAN EXPECT FROM US:

• Pure Innovation: We celebrate those who think critically like a challenge and aspire to be trailblazers.
• Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortunes Best Large Workplaces in the Bay Area Fortunes Best Workplaces for Millennials and certified as a Great Place to Work!
• Pure Team: We build each other up and set aside ego for the greater good.

And because we understand the value of bringing your full and best self to work we offer a variety of perks to manage a healthy balance including flexible time off wellness resources and company-sponsored team events. Check out for more information.

ACCOMMODATIONS AND ACCESSIBILITY:

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this contact us at if youre invited to an interview.

OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:

Were forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isnt just accepted but embraced. Thats why we are committed to fostering the growth and development of every person cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race religion color national origin sex (including pregnancy childbirth or related medical conditions) sexual orientation gender gender identity gender expression transgender status sexual stereotypes age status as a protected veteran status as an individual with a disability or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

JOIN US AND BRING YOUR BEST.

BRING YOUR BOLD.

BRING YOUR FLASH.