Customer.io

Senior Manager, Data Science & Analytics

Americas Remote · Senior

Sponsorship not specified$170k-$200kDetected 12 days ago

PythonSQLSnowflakedbtData AnalysisData EngineeringData ScienceStatisticsA/B TestingProduct ManagementForecastingLeadershipCommunicationMentoring

About the role

Success in this role requires strong leadership, analytical and technical rigor, and business acumen.
We view our data team as more than a reporting function, and as a trusted advisor to the business - bringing clarity through ambiguity, uncovering opportunities, and helping Customer.io move faster and operate smarter as we scale.
Business impact through data: We focus on delivering value over reporting and find the right balance between technical rigor and business pragmatism.

Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience.
Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments.
Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics.
Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team.
Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making.
Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences.
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.

7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams.
Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics.
Advanced SQL skills and proficiency with Python or similar analytical tools.
Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools.

Starting salary for this role is $170,000 - $200,000 USD depending on experience and subject to market rate adjustment.

Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business.
Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family.
See full benefits here →
We commit to using our influence to increase inclusion and equity within the tech industry.
We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

This team serves as a strategic partner across Product, Marketing, Sales and Customer Experience organizations, helping the company make better decisions through forecasting, experimentation, behavioral analytics, and rigorous measurement.
What we're looking for

This listing is sourced directly from Customer.io's careers page and normalized into a canonical job model.