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.
About the RoleWe are seeking a Director of Data Science to lead high-impact analytics and AI initiatives across Snowflake’s Go-To-Market organization. This role sits within the Data, Analytics & AI (DAA) team and reports to the Senior Director of GTM DAA.
In this role, you will partner closely with Sales, Marketing, and RevOps leaders to drive data-informed decision making, scale experimentation, and unlock growth through advanced analytics, machine learning model, and AI data products. You will play a critical role in shaping how Snowflake leverages data and AI to accelerate pipeline, improve conversion, and optimize the customer lifecycle.
Work Location: This position is based exclusively in Menlo Park, CA. Alternative locations are not available at this time.
What You’ll DoOwn GTM Data Science strategy
Define and execute the roadmap for data science across pipeline generation, sales productivity, and customer growth.Drive measurable business impact
Deliver insights, models, and recommendations across areas such as marketing attribution, forecasting, segmentation, lead scoring, and next best action.Partner with GTM leadership
Act as a trusted advisor to senior stakeholders across Sales, Marketing, and RevOps, influencing strategic planning and operational decisions.Build and scale a high-performing team
Recruit, develop, and lead a team of data scientists, fostering a culture of strong execution, technical excellence, and business impact.Establish experimentation and measurement frameworks
Lead the design and scaling of experimentation, causal inference, and performance measurement across the GTM funnel.Strengthen data foundations
Partner with Analytics Engineering and Business Analytics teams to ensure trusted data models, consistent metrics, and scalable pipelines.Advance AI in GTM
Identify and deploy AI-driven solutions including lead prioritization, customer segmentation, churn prediction, and sales recommendations.
10+ years of experience in data science, analytics, or a related field, with 5+ years in leadership roles
Proven experience supporting GTM functions in a B2B SaaS or high-growth technology company
Strong track record of delivering measurable impact through advanced analytics and/or machine learning
Experience partnering with senior stakeholders across Sales, Marketing, and RevOps
Strong technical foundation in SQL and Python, with experience working on modern data platforms such as Snowflake
Experience building and scaling teams in fast-paced, high-growth environments
Deep understanding of experimentation, forecasting, and customer lifecycle analytics
Nice to Have
Experience leading ML projects in GTM domains, such as lead scoring, propensity modeling, churn prediction, and next best action
Hands-on experience building or deploying models for lead prioritization and propensity scoring to drive pipeline efficiency and conversion
Experience with data enrichment strategies, including integrating third-party data sources to enhance customer profiles, segmentation, and targeting
Familiarity with modern data stack tools
Experience applying AI/ML to GTM use cases in enterprise environments
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
Skills Required
- 10+ years of experience in data science, analytics or related field
- 5+ years in leadership roles
- Experience supporting GTM functions in a B2B SaaS or high-growth technology
- Strong track record of delivering measurable impact through advanced analytics or machine learning
- Proficiency in SQL and Python
- Experience working on modern data platforms such as Snowflake
- Experience building and scaling teams in fast-paced environments
- Deep understanding of experimentation and customer lifecycle analytics
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
-
Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
-
Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
-
Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
Gallery
