Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Data Engineering
Data Science @ 7
Experimentation @ 4
Leadership @ 7
Marketing @ 4
Python @ 6
SQL @ 6
Snowflake @ 4
dbt @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About the role
Customer.io is seeking a Senior Manager, Data Science & Analytics to lead and evolve Customer.io's internal data science & analytics function. The team serves as a strategic partner across Product, Marketing, Sales, and Customer Experience, helping the company make better decisions through forecasting, experimentation, behavioral analytics, and rigorous measurement.
In this role, you will lead a team responsible for delivering business value through the applied use of data, partnering with leaders across the company to guide decisions, define success metrics, improve customer and product experiences, and drive operational efficiencies.
Success requires strong leadership, analytical and technical rigor, and business acumen. The data team is viewed as more than a reporting function—acting as a trusted advisor to the business.
Responsibilities
- 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 to help teams understand customer behavior, evaluate product performance, and prioritize roadmap investments.
- Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business.
- Partner with the data engineering team to manage an 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.
Requirements
- 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 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.
- Comfortable balancing strategic leadership with hands-on analytical work when needed.
- Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools.
- Experience in B2B SaaS, PLG, or subscription-based businesses preferred.
- Based in the Americas, remote-friendly.
Compensation & Benefits
Starting salary for this role is $170,000 - $200,000 USD depending on experience and subject to market rate adjustment.
The benefits package includes 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family.
Other benefits include 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, and a professional development budget (and more).