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.
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.
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. <![CDATA[RVP, Priority Support Engineering - EMEA 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.
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, and deliver value.
Responsibilities
Serving Customers
- Build deep technical and executive relationships with strategic customers in the region to ensure paid support programs are positioned to serve current and future workloads on Snowflake.
- Accountable for Customer Satisfaction, retention, and successful post-sales delivery of paid support engagements against committed scope, SLAs, and outcomes.
- Lead the DSE team's contribution to the proactive, advisory-led support model: architectural reviews, proactive risk assessments, and identification of root-cause patterns on recurring issues.
- Collaborate closely with reactive support leadership to ensure reactive delivery health is strong for accounts under paid support coverage, including joint visibility into case load, response-time performance, and incident trends, with shared accountability when paid customers need both arms of support working in concert.
- Partner with Snowflake field teams on post-go-live consumption health, proactively identifying workloads at risk of stalled adoption, blockers limiting consumption growth, and architectural opportunities to expand value, mobilizing the DSE team on the path to resolution.
- Own executive sponsorship and the customer narrative for at-risk paid support accounts; coordinate with reactive support leadership on escalation paths when their resources are required.
Owning the Sales Cycle for Paid Support Programs
- Own the regional sales cycle for paid support programs by partnering with Snowflake Regional Sales VPs and Solutions Engineering Directors to position the right paid support program with each customer based on their workload profile, criticality, and growth trajectory.
- Lead the Go-to-Market motion for paid support in the assigned region, including attach to net-new deals, expansion within the existing customer base, and conversion at renewal.
- Engage directly with customers and Sales counterparts to articulate the value of paid support, scope the right program fit, and influence the support component of the commercial proposal. (Production delivery sits with the DSE team post-sale; this engagement is positioning, not pre-sales technical discovery.)
Define and operationalize the Solutions Engineering/FDE/Engineering Solutions/Service Delivery-to-DSE handoff: a documented model for transferring technical and account context from pre-sales and custom engagements into post-sales production support without a dropped baton.Communicate pipeline activity to Global Support leadership and to regional Sales leaders frequently; leverage executives appropriately and strategically to gain alignment and overcome customer objections.Accountable for regional revenue targets for paid support programs.
Practice Readiness
- Build, hire, and lead the regional Priority Support team, including Designated Support Engineers, front-line managers, and any specialist roles needed to scale post-sales production support.
- Recruit and develop talent who can grow with the function; coach front-line managers in advisory engagement, executive presence, and commercial fluency.
- Communicate pipeline activity and forward demand to Resource Management and Delivery to ensure visibility into upcoming DSE coverage needs.
- Establish operating cadence: weekly forecast, monthly business review, quarterly customer outcome review with regional Sales VPs.
- Proactively contribute to the development of paid support program policies, procedures, pricing input, and packaging signal back to Global Support leadership and Revenue Operations.
- Monitor team performance; provide coaching, counseling, and motivation to maximize delivery quality and commercial outcomes.
- Lead the DSE team as an AI-native function: set the standard for AI-augmented engagement delivery, predictive workload analysis, and AI-driven customer insights at scale. Build a team that uses AI fluently in everyday delivery, not as a side project.
Technical Expertise
- Demonstrate detailed Snowflake product knowledge: vision, platform architecture, and the technical use cases customers run on Snowflake at scale.
Understand the technical complexities of the modern data and AI cloud, the competitive environment, and confidently address customer concerns about adoption, migration, performance, and cost.Provide strong consultative skills and a clear understanding of paid support engagement models: what each program delivers post-sale, where the value lands for customers, and how to position the right fit.
Requirements
On Day One We Will Expect You To Have:
- Sales-minded leader with 10+ years in enterprise customer-facing roles, with a track record of either (a) leading a paid support, premium services, designated technical advisory, or signature success-style organization, OR (b) selling and positioning technical solutions to enterprise customers in a senior field role at a cloud, data, or SaaS company (e.g., Sales Engineering, Sales Architect, Specialist Sales, Customer Engineering). Either path qualifies.
- Proven track record carrying or owning a revenue target tied to attach, expansion, or renewal in a customer-facing function (e.g., Sales Engineering, Professional Services, Premium Support). You can read a forecast and run a deal review.
- 5+ years of leadership experience managing a multi-layered organization in a high-growth SaaS or cloud environment; demonstrated ability to coach front-line managers.
- Knowledge of the data warehousing, data management, analytics, AI, and/or cloud computing space.
- Experience selling and positioning technical solutions to enterprise customers and managing to commercial targets while working closely with cross-functional teams: sales, pre-sales, legal, marketing, finance, and product.
- Comfort operating inside transformation: you have moved a team from one operating model to another (e.g., reactive to proactive, cost center to revenue contributor) and can talk specifically about what worked and what did not, OR you have been part of a transformation as a senior individual contributor and can articulate how you would lead one.
Executive-level communication and customer-facing presence; confident presenting both technical solutions and business impact to C-level customer audiences.Comfortable with Salesforce or other leading CRM tools.Demonstrated experience leading teams or running customer engagements using AI-native or AI-augmented approaches; comfort championing AI-driven delivery in a customer-facing function, articulating to customers how AI augments human advisory rather than replaces it, and evolving the operating model as new capabilities emerge (you are joining an active build, not inheriting a finished playbook).
Strongly Preferred
- Direct experience launching or scaling a designated engineer, solutions architect team, TAM, or premium support program at a cloud data platform, hyperscaler, or enterprise SaaS company (e.g., Databricks, AWS, Google,Microsoft, Salesforce, ServiceNow, Red Hat, MongoDB, Oracle).
- Internal Snowflake field experience (Solutions Engineering, Solutions Architect ) with deep relationships into regional Sales VPs and a track record of customer wins on technical solutions.
- Strong program, project, and process management skills.
KEY PERFORMANCE INDICATORS
- Regional revenue targets for paid support programs, including attach to net-new license deals, expansion within the customer base, and conversion at renewal
- Snowflake consumption health and growth on accounts under paid support coverage
- Customer outcome metrics: NPS lift on paid support cohort; reduction in customer generated cases on accounts under DSE coverage; improvement in time-to-value on key workloads
- Proactive engagement coverage: cadence and quality of architectural reviews, health assessments, and risk reviews delivered to paid accounts
- Hire-to-headcount targets within given timeframes; manager bench depth
- Engagement delivery quality and effective management of regional team objectives
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
This description is the source posting as it read when we added it. We are not affiliated with Snowflake, so check their own site for the current details.