Full-Time

RVP – Priority Support Engineering

Updated on 5/26/2026

Snowflake

Snowflake

10,001+ employees

Cloud-based data warehousing and analytics platform

No salary listed

Company Historically Provides H1B Sponsorship

Boston, MA, USA + 2 more

More locations: New York, NY, USA | Atlanta, GA, USA

In Person

Category
Customer Experience & Support (2)
,
Required Skills
Salesforce
Data Analysis
Requirements
  • 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).
  • 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).
Responsibilities
  • 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.
  • 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.
  • 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.
  • 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.
Desired Qualifications
  • 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.

Snowflake provides a cloud-based data platform called the Snowflake Data Cloud that lets customers store, process, and analyze large amounts of data. It operates on a pay-per-use model, charging for data stored and for computing power used. The platform is designed to be easy to use and handles many data types, supporting use cases from data warehousing and data lakes to data engineering, data science, and data applications. Snowflake differentiates itself with a cloud-native architecture that separates storage and compute, enabling on-demand scaling for diverse workloads across organizations, from startups to large enterprises. The company’s goal is to offer a scalable, flexible, and accessible data platform that unifies storage, processing, and analytics in one service.

Company Size

10,001+

Company Stage

IPO

Headquarters

Menlo Park, California

Founded

2012

Simplify Jobs

Simplify's Take

What believers are saying

  • AI workload adoption can expand consumption through Snowflake Cortex and partner integrations.[4][6]
  • Marketplace-native apps deepen stickiness by keeping data quality and governance tools inside Snowflake.[6]
  • Cross-industry partnerships in industrial, financial, and analytics workflows broaden enterprise usage.[4][6]

What critics are saying

  • Hyperscaler-native warehouses can bundle comparable capabilities and pressure Snowflake's pricing power.[1][4]
  • Usage-based consumption leaves growth exposed when customers optimize storage and compute spend.[4][6]
  • Partner-built applications can capture the workflow layer and weaken Snowflake's direct customer relationship.[6]

What makes Snowflake unique

  • Separation of compute and storage enables elastic scaling across AWS, Azure, and Google Cloud.[1][4]
  • Snowflake unifies warehousing, lakes, engineering, sharing, analytics, and AI in one platform.[1][4]
  • Its trusted AI Data Cloud architecture emphasizes governed access and collaboration across public clouds.[4][6]

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Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

1%

2 year growth

1%
PR Newswire
Apr 7th, 2026
Penguin Ai launches prior authorisation and medical coding apps on Snowflake Marketplace

Penguin Ai has launched Prior Authorization and Medical Coding solutions as Snowflake Native Apps on Snowflake Marketplace. The healthcare AI company's solutions automate administrative workflows by applying AI directly to clinical documentation, claims data and medical policies within Snowflake. The solutions use AI-based agents to review documentation for completeness and medical necessity, generating audit-ready recommendations that improve turnaround times and accuracy. Built to run natively on Snowflake, the apps eliminate data movement and integration complexity. Prior authorisation and medical coding traditionally require manual review of complex clinical records, contributing to delays and administrative burden. Penguin Ai's solutions enable health plans and providers to automate documentation review, policy alignment and coding quality checks directly within their Snowflake accounts, helping reduce costs and improve operational efficiency.

Yahoo Finance
Apr 1st, 2026
Snowflake appoints Jonathan Beaulier as CRO as Morningstar expands financial datasets on marketplace

Snowflake appointed Jonathan Beaulier as chief revenue officer on 31 March 2026, whilst Morningstar expanded its investment datasets on Snowflake Marketplace for institutional clients. The moves strengthen Snowflake's position in financial data workflows and place an experienced insider in charge of monetisation. The Morningstar expansion demonstrates how third-party content can deepen usage in key verticals like financial services. If Snowflake replicates this pattern across other data providers and industries, marketplace activity could become a more significant driver of consumption growth and customer retention, helping offset potential slowdowns in migration-driven revenue. However, Snowflake's dependence on hyperscaler infrastructure pricing remains a risk. The company's narrative projects $7.8 billion revenue by 2028, with some analysts forecasting $10.1 billion by 2029.

PR Newswire
Mar 26th, 2026
Snowflake scraps $10B revenue target, cuts growth guidance from 30% to 22%

Snowflake has been hit with a securities class action lawsuit after withdrawing its $10 billion product revenue target for 2029 and slashing growth guidance from an expected 30% to 22%. The lawsuit covers shareholders who purchased SNOW stock between 27 June 2023 and 28 February 2024. On 28 February 2024, Snowflake disclosed that product efficiency gains were creating a 6.2% to 6.3% annual revenue headwind. Iceberg Tables technology, previously promoted as a growth driver, was now acknowledged as a factor causing customers to move storage out of Snowflake. The company guided fiscal year 2025 product revenue to approximately $3.25 billion, representing 22% year-over-year growth. Shares fell $41.72, an 18.14% decline, following the announcement. The lead plaintiff deadline is 27 April 2026.

Yahoo Finance
Mar 23rd, 2026
Snowflake shares jump 4.4% as Trump's Iran talks spark tech rally

Snowflake shares rose 4.4% to $175.40 following comments from President Trump regarding Iran talks, which triggered a broad market rally. Nine out of ten S&P 500 stocks advanced, with both the Dow Jones and Nasdaq gaining around 2%. The risk-on environment, driven by reduced geopolitical tension perceptions, particularly benefited growth-oriented technology sectors. Snowflake's shares have experienced 19 moves greater than 5% over the past year, indicating high volatility. The stock is down 19.1% year-to-date and trading 36.7% below its 52-week high of $277.14 from November 2025. The company recently reported fourth-quarter revenue of $1.28 billion, beating expectations with 30.1% year-on-year growth, though it provided mixed guidance for the upcoming quarter.

CNBC
Mar 19th, 2026
Snowflake unveils Project SnowWork agentic platform for enterprise AI automation

Snowflake CEO Sridhar Ramaswamy has unveiled Project SnowWork, an agentic platform enabling enterprise employees to query data and take action across systems like Salesforce and ServiceNow from within Snowflake. Currently in research preview, the platform represents Snowflake's effort to position itself as the central operating layer for AI-powered enterprises. The new system moves beyond traditional data queries, allowing users to execute actions across multiple enterprise systems through a unified interface.