Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. 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 Everpure is moving from an application-centric world to a data-centric one — where AI depends on trusted, well-governed, and contextualized data across the business. As part of this shift, we're looking for a Staff Analyst, AI & Automation to lead the technical build of AI and applied ML capability inside the analytics function. This is an individual contributor role — you will not manage people. Your leverage comes from what you build and ship: AI agents, applied ML models, and automated analytics workflows that change how insight gets produced, working closely with cross-functional teams to bring these to life. AI is changing by the week, not by the year. We're not looking for someone who adopts AI once it's already mainstream — we want someone who is naturally ahead of the curve: scanning what's new, testing it quickly, and bringing it into the team before it's obvious to everyone else. This role has real freedom to experiment, rethink existing approaches, and change course as the field moves. WHAT YOU'LL DO - Own the technical build of AI-powered analytics tools — including RAG pipelines, LLM-assisted querying, agent workflows, and applied ML models. Our current stack includes Glean, Gemini, Claude Code and Snowflake Cortex, and we expect that to change; we care more that you pick up new tools quickly than that you already know ours. - Apply data science methods (forecasting, segmentation, anomaly detection, classification) where a problem genuinely calls for them — though the core of this role is LLM- and agent-based automation rather than classical modelling. - Design, build, and deploy AI agents for analytics use cases — e.g. agents that answer business questions from data, auto-generate insights, flag anomalies, or draft recurring reports without manual pull. - Identify and prioritize high-value opportunities to automate manual, repetitive analytics work with AI, and independently prototype, test, and productionize those solutions. - Propose and maintain a rolling technical roadmap for AI and data science work in the analytics function — a living document you revisit and adjust as the field moves, not a fixed annual plan. - Write the SQL/Python needed to support your own models and analysis, collaborating with the broader technical organization on any shared systems your work touches. - Champion data governance and AI-readiness practices — data quality, semantic context, lineage — so AI agents and models are working from trustworthy, well-understood data. - Partner with business stakeholders to scope problems, and with IT/engineering/data platform teams to ensure AI and automation initiatives are supportable at scale. - Pair with and review the work of other analysts applying data science and AI methods — sharing technical judgment through collaboration, not people management. WHAT YOU BRING - 7+ years of experience across data science, applied AI/ML, or advanced analytics, with a track record of Staff-level individual-contributor technical ownership. - Bachelor's degree in statistics, computer science, math, or a related field (or equivalent practical experience). - Strong Python skills for data science and automation — comfortable with libraries like pandas, scikit-learn, and building/calling ML models, not just scripting. - Hands-on experience building with LLMs and AI agents — e.g. RAG pipelines, agent orchestration frameworks, prompt engineering, or tool-calling — and shipping something people actually use, not just experimenting. - Strong SQL skills to support your own models and analysis, and enough data modeling fluency to work well with broader technical teams. - In your application, tell us about something you built with LLMs in the last 6 months that people actually use — what it does, who uses it, and how often. - High adaptability: comfortable dropping an approach that's no longer the best one, learning a new tool quickly, and adjusting plans as the AI landscape shifts, sometimes within the same quarter. - Excellent communication skills — able to explain data science/AI concepts and trade-offs in a way that builds confidence with non-technical stakeholders and leadership. - Strong ownership mindset: comfortable with ambiguity, prioritizing across competing asks, and driving projects independently. NICE TO HAVE - Experience with agent orchestration frameworks (e.g. LangChain, LlamaIndex, or similar) or building multi-step autonomous agents. - Experience with MLOps practices — model monitoring, versioning, or deployment pipelines. - Exposure to data governance, semantic data modeling, or data classification concepts (e.g. knowledge graphs, metadata tagging). - Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift) and orchestration tools. - Practical experience applying statistical or ML techniques (forecasting, anomaly detection, classification, clustering) to business problems. #LI-ONSITE WHAT YOU CAN EXPECT FROM US: - Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers. - Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®! - 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 http://benefits.everpuredata.com/ 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 TA-Ops@purestorage.com if you’re invited to an interview. OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM: We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s 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. Everpure is proud to be an equal opportunity 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. Pure and simple.

Staff AI & Automation Data Analyst

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