Snowflake
Principal Product Manager - Zero-Copy Integrations
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Powering the Era of the Agentic Enterprise
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is redefining how enterprises bring data, applications, and AI together. As customers build AI systems for insights, automation, and action, they need governed access to the most important business data in the enterprise: data from systems like SAP, Salesforce, Workday, ServiceNow, and other leading application platforms.
Historically, integrating this data meant building pipelines, duplicating data, losing business semantics, and creating operational complexity. The next generation of enterprise AI requires a better pattern: open, governed, zero-copy interoperability across application platforms, open table formats, catalogs, semantics, and Snowflake.
We are looking for a hands-on, high-conviction Principal Product Manager to lead and scale Snowflake’s Zero-Copy Integrations product stream. This person will help shape the product strategy, execution model, partner roadmap, commercial motion, and customer experience for how Snowflake interoperates with the world’s most important business application platforms.
This is a highly strategic role at the intersection of product, engineering, design, partnerships, GTM, and executive-level customer engagement. You will work closely with leading application vendors and Snowflake teams to define how customers access structured and unstructured business data, preserve semantics and governance, and activate that data inside Snowflake for analytics, applications, Cortex AI, agents, and business workflows.
Why This Role Matters
Enterprise AI is only as good as the business context it can access. Customers need governed access to model data, application data, documents, metadata, and business semantics from their critical systems of record. They want to build agents and AI-powered workflows that understand customers, products, suppliers, employees, contracts, transactions, and operational processes.
Zero-copy integrations are becoming a core pattern for this world. The goal is not just connectivity. The goal is to make Snowflake the place where customers can combine trusted application context with the rest of their enterprise data estate, then activate it across AI, analytics, data engineering, apps, and governed collaboration.
You will help Snowflake define and execute this strategy across key partners and platforms.
What You Will Do
- Own product strategy and roadmap for Snowflake’s Zero-Copy Integrations with leading application and data platforms.
- Define the product architecture and user experience for zero-copy access patterns across Iceberg, Polaris, external catalogs, catalog-linked databases, externally managed tables, semantic models, sharing, federation, and write-back patterns.
- Partner with engineering to define high-quality integration primitives that go beyond basic access, including semantic fidelity, lineage, observability, governance, entitlementing, performance, and lifecycle management.
- Work with design to shape Snowflake-side and partner-side experience surfaces that make zero-copy integrations easy to discover, configure, govern, monitor, and use.
- Build a clear product strategy for structured and unstructured application data, including documents, content systems, knowledge bases, contracts, tickets, and enterprise collaboration data.
- Define how customers can activate application data in Snowflake through SQL, Cortex AI, Cortex Agents, Cortex Analyst, Cortex Search, ML, Streamlit, notebooks, semantic views, Dynamic Tables, and governed data products.
- Influence partner roadmaps by engaging with CPOs, Chief Architects, and establishing win-win product and business models across Snowflake and strategic application vendors.
- Develop commercial models, packaging options, pricing calculators, adoption frameworks, and business cases for Snowflake and partner stakeholders.
- Work closely with alliances, sales, solution engineering, marketing, legal, security, and finance to bring these partnerships to market.
- Engage deeply with lighthouse customers to validate use cases, unblock adoption, and turn bespoke integrations into repeatable product motions.
- Use AI and coding agents actively to prototype product ideas, generate demos, build pricing calculators, analyze customer usage, draft specs, and accelerate product development.
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What Success Looks Like
- Zero-copy becomes the default pattern for Snowflake interoperability with key enterprise application platforms.
- Customers can bring trusted application data and business semantics into Snowflake without duplicative ETL or unnecessary replatforming.
- Joint partner roadmaps are clear, executable, and valuable for both Snowflake and the application platform partner.
- Customers can build AI agents and business workflows on top of governed application data with strong semantics, lineage, observability, and access control.
- The product experience is simple enough for customers to adopt, but powerful enough for sophisticated enterprise architectures.
- Commercial models are clear, scalable, and aligned with partner incentives.
- The field can explain the value proposition crisply: zero-copy, governed, semantic, open, and actionable.
- Snowflake has a repeatable playbook for launching, scaling, and operating strategic zero-copy integrations across application ecosystems.
- Snowflake becomes the activation plane for SAP, Salesforce, Workday, ServiceNow, and other application data across analytics, apps, AI, and agents.
What We Are Looking For
- 12+ years of core product management experience, with experience leading complex enterprise data, platform, integration, application, or AI products.
- Strong product judgment and product conviction. You can form a clear thesis, pressure-test it with customers and partners, and drive alignment through ambiguity.
- Deep understanding of enterprise data integration patterns, including ETL, ELT, CDC, data sharing, federation, reverse ETL, semantic layers, APIs, and application data models.
- Familiarity with open table formats and modern lakehouse architecture, especially Apache Iceberg, open catalogs, Polaris, REST catalog APIs, and governed interoperability patterns.
- Strong understanding of how business applications model data, semantics, processes, permissions, and extensibility.
- Ability to work with strategic partners where product, engineering, commercial, and GTM incentives all need to align.
- Strong technical depth with the ability to discuss architecture tradeoffs with engineering, partner architects, field teams, and customer executives.
- Strong business acumen, including pricing, packaging, commercial model design, partner economics, and executive-level business case development.
- Experience building products that require cross-company coordination, not just internal roadmap execution.
- Strong customer orientation and ability to turn complex enterprise requirements into simple, scalable product experiences.
- Hands-on use of AI tools and coding agents to accelerate product thinking, prototyping, analysis, and execution.
- Ability to write crisp strategy documents, product specs, partner narratives, field guidance, and executive-ready materials.
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Preferred Qualifications
- Experience with Snowflake, Databricks, SAP BDC, Salesforce Data Cloud, Workday Data Cloud, ServiceNow, or similar enterprise application and data platforms.
- Experience with data catalogs, governance, lineage, access control, semantic layers, data products, or data sharing.
- Experience with AI and agentic systems, especially where high-quality business context, semantics, retrieval, and governed action matter.
- Experience working on partner-led or ecosystem-led product motions.
- Experience with pricing calculators, business case modeling, usage analytics, or product-led adoption frameworks.
- MBA or equivalent business training preferred.
Regional Vice President, Priority Support Engineering - EMEA
The RVP, Priority Support Engineering - EMEA reports into the Head of Global Support and owns paid support offerings end-to-end for their designated Region. Operating in an environment of both direct reports and matrixed relationships, the ideal candidate has a proven track record of either leading premium support / designated technical advisory organizations OR selling and positioning technical solutions to enterprise customers in a senior field role, with revenue accountability either way.
This role brings together a mix of responsibilities with multiple areas of critical focus. The RVP maintains relationships at all levels with Customers, Sales Leadership, Solutions Engineering, Delivery Teams, Operations Teams, and Key Partners. They are expected to sustain KPIs across multiple disciplines including Revenue, Attach, Consumption, Retention, and Staffing.
Snowflake's paid support offerings are designed to deliver value customers feel, through both quality reactive interactions and proactive, advisory-led engagement, measured on the outcomes that matter to their business. The RVP leads the regional Designated Support Engineer (DSE) team, the post-sales production support force that delivers Priority Support today and will scale as our paid support portfolio expands. Reactive support sits with separate leadership; the DSE team collaborates closely with that org on escalations and reactive delivery health for paid customers, but is purpose-built for the proactive, paid program experience and the sales motion that drives it. This role is key to making that proactive shift real for paying customers, turning premium support from a faster ticket queue into a measurable lever on workload health, consumption growth, and long-term value.
This is an AI-native role. The RVP leads both the DSE team and customer engagements through AI-augmented ways of working, using AI to anticipate workload risk, scale proactive advisory, and surface insights at a depth and speed that was not possible before. We are actively building the AI-augmented engagement model the team runs on; the RVP is expected to continue to build and evolve the playbook as the technology and the tooling mature. Both the leader and the team operate AI-natively in how they engage customers, manage workloads,
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