Snowflake

Product Growth Specialist - Data Engineering

Snowflake6 days ago
Location

US-VA-Remote

Workplace

Remote

Type

Full Time

Salary

USD 189,000 – 248,062

Level

Senior

Role

Sales Development Manager

Posted

Apr 23, 2026

Full TimeRemoteSenior

The role

Summary

The Product Growth Specialist (PGS) at Snowflake is a strategic, high-impact role responsible for driving Data Engineering go-to-market initiatives across designated sales theaters. This position bridges product strategy and field execution, requiring 10+ years of tech go-to-market experience with expertise in sales operations, data analytics, and cross-functional collaboration. The ideal candidate will leverage SQL proficiency, dashboard design capabilities, and Product-Led Growth (PLG) strategies to accelerate deal cycles, improve product adoption, and drive revenue uplift through targeted GTM program execution.

What you'll do

GTM Activation and Field Acceleration: Drive theater-wide activation and scaling of Data Engineering product category go-to-market programs in coordination with Sales and Solution Engineering leadership. Propel adoption of sales programs across regional teams, ensure rapid deployment and adoption of GTM initiatives, and evangelize successful selling techniques across the entire theater team to accelerate execution velocity.
Product-Field Strategy Interlock: Serve as the critical 'Voice of the Field' by gathering theater needs from product and sales reviews, establishing continuous feedback loops on product gaps and roadmap priorities. Attend cross-functional strategy meetings, update SE enablement curriculum, and inform product roadmap adjustments based on successful sales play performance and customer feedback.
Market Opportunity and Whitespace Analysis: Continuously analyze customer, market, and pipeline trends to identify top whitespace and expansion opportunities within the sales theater. Propose new programmatic initiatives and targeted selling strategies based on data-driven insights, revenue analysis, and pipeline intelligence to guide sales leadership toward high-potential opportunities.
Critical Deal Support and Cross-Functional Orchestration: Provide white-glove support for high-value deals by coordinating internal teams, resources, and expertise across functions. Reduce internal seller drag through faster coordination loops and smarter resource deployment, enabling Account Executives and Solution Engineers to close deals more efficiently.
Sales Enablement and KPI Management: Develop and manage key performance metrics across the funnel from lead generation to consumption. Create design specifications for analytical dashboards utilized by sales, product marketing, and engineering stakeholders to track GTM program effectiveness and measure impact on quota attainment and product adoption rates.

What we look for

Technical

SQL and Database QueryingProficiency in SQL for directly querying databases to extract insights, validate business assumptions, and create data-driven analyses that inform GTM strategy and sales program effectiveness.
Analytics and Dashboard DesignAbility to design and specify data visualization dashboards for stakeholder consumption, including sales leadership, product marketing, and engineering teams, enabling data-driven decision-making across functions.
Product-Led Growth (PLG) FrameworksDeep understanding of Product-Led Growth strategies and how to apply PLG principles to accelerate product adoption, reduce sales friction, and drive bottom-up expansion within customer accounts.
Go-to-Market (GTM) Program ExecutionDemonstrated expertise in designing, launching, and scaling GTM programs across regional sales teams, including sales plays, enablement materials, and targeted customer acquisition strategies.
Data Analytics and Business IntelligenceStrong capability to leverage data analytics platforms and tools to uncover trends, measure KPIs, and drive business outcomes from top-of-funnel through consumption metrics.

Education

Bachelor's Degree in Business, Marketing, Computer Science, or Data ScienceRequired degree in Business Administration, Marketing, Computer Science, Data Science, or a related analytical or technical field demonstrating foundational knowledge in business strategy and data analysis.
MBA or Master's in Data Analytics (Preferred)Advanced degree preferred for strategic-level roles. An MBA or Master's in Data Analytics, Business Analytics, or related field strengthens candidacy for senior leadership positions and demonstrates commitment to strategic business acumen.

Experience

10+ Years Go-to-Market Strategy ExperienceMinimum 10 years in tech company go-to-market roles with proven experience bridging product strategy and field execution, building cross-functional enablement programs, and driving measurable revenue impact.
Sales Operations and StrategyDemonstrated success in sales operations, sales strategy, or sales enablement roles where you've designed processes, managed KPIs, and coordinated complex cross-functional initiatives in fast-paced, high-growth environments.
Product and Field CollaborationProven track record of building and maintaining tight feedback loops between product teams and field sellers, translating customer needs into product priorities and ensuring alignment on go-to-market execution.
Growth Metrics and KPI OwnershipDemonstrated ability to move the needle on key performance indicators across the entire sales funnel, from lead generation to pipeline acceleration to product consumption and expansion revenue.
Fast-Paced and Experimental EnvironmentsExperience thriving in dynamic, rapidly-evolving tech environments where you can rapidly test emerging capabilities, adopt new tools and frameworks, and adapt GTM strategies based on market feedback.

Skills

Required skills

SQL and Database Query OptimizationEssential proficiency in SQL for querying databases, extracting complex datasets, and performing exploratory data analysis to inform GTM strategy and sales program performance tracking.
Cross-Functional Leadership Without Direct AuthorityExceptional ability to lead 'Growth Squads' comprising Sales Leadership, Product Marketing, and Engineering teams without direct managerial authority, building alignment and driving outcomes through influence and collaboration.
Go-to-Market Strategy DevelopmentStrategic expertise in designing and executing comprehensive GTM programs, including market analysis, competitive positioning, sales play design, and multi-channel launch coordination across regional teams.
Data Analytics and KPI ManagementAdvanced analytical skills to track, measure, and optimize key business metrics across the entire sales funnel, translating raw data into actionable insights that drive revenue and adoption outcomes.
Product-Led Growth StrategyDeep expertise in Product-Led Growth methodologies, enabling you to identify opportunities for bottom-up adoption, product virality, and expansion revenue within the Data Engineering customer base.
Sales Enablement and CommunicationsAbility to develop compelling enablement materials, sales plays, and messaging frameworks that equip sellers with the tools and knowledge to successfully execute GTM initiatives and close deals faster.

Nice to have

Business Intelligence Platforms and Visualization ToolsFamiliarity with BI tools such as Tableau, Looker, or Power BI for creating executive dashboards and enabling data-driven decision-making across sales, product, and engineering organizations.
Cloud Data Platforms and TechnologiesHands-on experience with cloud data warehousing platforms, data lakes, or analytics infrastructure (such as Snowflake, BigQuery, Redshift) demonstrates technical credibility and product understanding within the data engineering space.
Customer Success and Account Management ExperienceBackground in customer success, account management, or post-sale expansion roles provides valuable perspective on customer lifecycle, churn drivers, and retention strategies that inform GTM optimization.
Marketing Operations and Demand GenerationExperience with marketing operations, demand generation campaign management, or marketing automation platforms strengthens ability to design integrated GTM campaigns and track multi-touch attribution.
Enterprise Sales DynamicsDemonstrated experience selling into enterprise accounts, understanding complex buying committees, and managing extended sales cycles typical of data engineering and data platform solutions.

Compensation & benefits

Salary

USD 189,000 – 248,062 (annual)

Stock options

Available

Benefits

Comprehensive Medical Insurance

Full medical coverage including preventive care, doctor visits, specialist referrals, prescription coverage, and mental health services through Snowflake's premium health insurance plans.

Dental and Vision Insurance

Comprehensive dental coverage including preventive, basic, and major services, plus vision insurance covering eye exams, glasses, and contact lenses.

Life and Disability Insurance

Employer-sponsored life insurance and short-term and long-term disability coverage providing financial protection for you and your family.

401(k) Retirement Plan

Tax-advantaged retirement savings plan with company matching contributions to help you build long-term wealth and financial security.

Flexible Spending and Health Savings Accounts

FSA and HSA options allowing pre-tax contributions for eligible healthcare and dependent care expenses, reducing taxable income and maximizing savings.

Paid Time Off and Holidays

At least 12 paid holidays annually plus generous paid time off for vacation, sick leave, and personal time to maintain work-life balance.

Parental Leave

Comprehensive paid parental leave policy supporting new parents with time away from work to bond with newborn or newly adopted children.

Employee Assistance Program (EAP)

Confidential counseling, mental health resources, financial planning, and legal advice services available to all employees and their families.

Equity Participation Plan

Eligible to participate in Snowflake's equity plan, allowing you to share in company growth and build wealth through stock ownership.

Commission and Performance Bonuses

Participation in Snowflake's commission plan with on-target earnings of $220,000-$288,750, providing direct financial incentive tied to individual and team performance.

Interview process

  1. 1
    Initial Screening Call — Preliminary conversation with recruiting team to assess background, motivation, and high-level fit for the Product Growth Specialist role, focusing on go-to-market experience and data analytics expertise.
  2. 2
    Hiring Manager Interview — In-depth discussion with the Regional Vice President of Applied Field Engineering to explore GTM strategy experience, cross-functional collaboration approach, and vision for driving Data Engineering adoption across the theater.
  3. 3
    Cross-Functional Panel Interview — Meeting with representatives from Sales Leadership, Solution Engineering, and Product teams to evaluate ability to lead without direct authority, communication skills, and understanding of product-field dynamics.
  4. 4
    Case Study or Data Analytics Assessment — Scenario-based exercise demonstrating SQL proficiency, analytical reasoning, and ability to translate data into GTM recommendations. May include designing dashboard specifications or analyzing pipeline data.
  5. 5
    Executive Leadership Interview — Final conversation with Senior Sales or Go-to-Market leadership to assess strategic thinking, cultural fit, AI-native mindset, and ability to thrive in Snowflake's dynamic, agentic enterprise environment.
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Snowflake

Snowflake

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Snowflake is an American cloud computing company offering data warehousing and analytics platforms.

Bozeman, Montana, United StatesFounded 2012snowflake.com

Tech Stack

Languages
SQLPython (Preferred)
Frameworks
Product-Led Growth FrameworkSales Methodology (MEDDIC, Sandler, or Similar)
Databases
Snowflake Cloud Data PlatformCloud Data Warehousing Platforms
Tools
Business Intelligence and Analytics PlatformsSalesforce or CRM SystemsMarketing Automation and Demand Generation ToolsCollaboration and Project Management Tools
Other
Data Analytics and Insights GenerationGTM Program Management and ExecutionSales Enablement and Knowledge Management

Interview Guides

11 guides available for Snowflake

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