Why This Job is Featured on The SaaS Jobs
This Senior Manager, Data Science role stands out in the SaaS landscape because it sits at the intersection of advanced analytics and go to market execution inside a major data platform company. Rather than focusing on product instrumentation alone, the remit centers on revenue workflows where forecasting, attribution, segmentation, and lifecycle modeling directly shape how SaaS growth is planned and measured. The Menlo Park based setup also signals close proximity to senior GTM leadership and operating rhythms.
For a long term SaaS career, the position offers durable experience in how modern B2B SaaS organizations industrialize decision making. Leading experimentation frameworks, aligning metric definitions with analytics engineering, and translating stakeholder questions into deployable models are skills that transfer across SaaS categories. Managing a team while owning end to end initiatives also builds the operating toolkit needed for broader data leadership roles spanning RevOps analytics, growth science, or applied ML for commercial systems.
This role fits a manager who enjoys combining technical depth with cross functional influence, and who prefers work that is tied to measurable commercial outcomes. It will suit someone comfortable moving between executive level questions and hands on problem framing, and who is motivated by building repeatable analytics systems rather than one off analyses.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
We are seeking a Senior Manager 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 deliver measurable business impact through advanced analytics and machine learning. You will play a key role in translating business problems into data science solutions that improve pipeline, conversion, and customer growth.
Work Location: This position is based exclusively in Menlo Park, CA. Alternative locations are not available at this time.
What You’ll Do
Lead high-impact data science initiatives: Drive end-to-end execution of data science projects across pipeline generation, sales productivity, and customer lifecycle optimization.
Deliver measurable business impact: Develop models, insights, and recommendations across marketing attribution, forecasting, segmentation, lead scoring, and next best action.
Partner with GTM stakeholders: Collaborate with Sales, Marketing, and RevOps leaders to understand business needs and influence decision making with data-driven insights.
Manage and develop a team: Lead and mentor a team of data scientists, fostering strong execution, technical rigor, and business alignment.
Drive experimentation and measurement: Design and implement experimentation frameworks, including A/B testing and causal inference, to evaluate GTM strategies.
Collaborate on data foundations: Partner with Analytics Engineering and Business Analytics teams to ensure reliable data models, consistent metrics, and scalable pipelines.
Support AI initiatives in GTM: Contribute to the development and deployment of AI solutions such as lead prioritization, customer segmentation, and churn prediction.
Minimum Qualifications
8+ years of experience in data science, analytics, or a related field, with 2+ years of people management experience
Experience supporting GTM functions in a B2B SaaS or high-growth technology company
Strong track record of delivering business impact through analytics or machine learning
Experience partnering with cross-functional stakeholders across Sales, Marketing, and RevOps
Strong technical skills in SQL and Python, with experience on modern data platforms such as Snowflake
Solid understanding of experimentation, forecasting, and customer lifecycle analytics
Preferred Qualificiations
Experience working on GTM use cases such as lead scoring, propensity modeling, churn prediction, or next best action
Hands-on experience building or deploying models that improve pipeline efficiency and conversion
Familiarity with data enrichment strategies and third-party data integration
Experience working with modern data stack tools
Exposure to AI/ML applications in enterprise GTM 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
