Senior Manager, Data Science & Analytics
Customer.io · United States
- Hybrid
- Full-time
- $170,000 / year
- United States
Job highlights
- Lead data science & analytics team.
- Drive business decisions with data.
- Develop forecasts and predictive models.
- Partner with cross-functional leaders.
- Shape AI-native analytics future.
About the role
About Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
About The Role
Hi, my name is Michael, Head of Data and Analytics at Customer.io, and I’m looking for a Senior Manager, Data Science & Analytics to lead and evolve Customer.io's internal data science & analytics function. 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.
In this role, you'll lead a team responsible for delivering business value through the applied use of data. You'll partner closely with leaders across the company to guide decisions, define success metrics, improve customer and product experiences, and drive operational efficiencies.
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.
What we value
- Business impact through data: We focus on delivering value over reporting and find the right balance between technical rigor and business pragmatism.
- Strategic partnership: We bring ideas to the table and help our partners shape priorities, challenge assumptions, and identify opportunities — not just respond to requests.
- Ownership and rigor: We hold ourselves to a high standard, sweating the details and ensuring our analyses, assumptions, and recommendations are accurate, trustworthy, and actionable.
- Leadership and development: We believe great teams are built through coaching, challenge, and continuous growth, helping people do the best work of their careers.
What you'll do
- 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.
- Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business.
- 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.
What we're looking for
- 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.
Why this role
You'll have real ownership - of a team, of a data function, and of a company that's actively building toward an AI-native analytics future. This isn't a reporting shop. You'll have a seat at the table with senior stakeholders and the latitude to shape how data drives decisions at Customer.io.
Compensation & Benefits
We believe in transparency. Starting salary for this role is $170,000 - $200,000 USD depending on experience and subject to market rate adjustment.
We know our people are what make us great, and we're committed to taking great care of them. 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. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
- 30-minute video call with Recruiter
- 45-minute video call with Hiring Manager
- Three 30-minute video calls with team members
- Take-Home Assignment + Review call with the full panel
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io.
Join us!
Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.
Key skills/competency
- Data Science
- Analytics
- Team Leadership
- Product Analytics
- Experimentation
- Forecasting
- Business Acumen
- SQL
- Python
- B2B SaaS
Skills & topics
- Data Science
- Analytics
- Manager
- Leadership
- Forecasting
- Experimentation
- SQL
- Python
- B2B SaaS
- Product Analytics
How to get hired
- Tailor your resume: Highlight 7+ years in data science/analytics, team leadership, and specific skills like SQL, Python, forecasting, and experimentation.
- Showcase business impact: Emphasize how your analytical work has driven measurable business value and strategic decisions.
- Prepare for interviews: Be ready to discuss leadership philosophy, problem-solving approaches, and how you partner with senior stakeholders.
- Understand Customer.io: Research their B2B SaaS, PLG focus, and AI-native analytics vision to align your answers.
- Engage with the process: Follow the outlined steps, including video calls, a take-home assignment, and review sessions.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the salary range for the Senior Manager, Data Science & Analytics role at Customer.io?
- The starting salary for the Senior Manager, Data Science & Analytics position at Customer.io is between $170,000 and $200,000 USD annually, depending on experience and market rates.
- What is the work arrangement for this Senior Manager, Data Science & Analytics job at Customer.io?
- This Senior Manager, Data Science & Analytics role is remote-friendly and based in the Americas.
- What are the key responsibilities for the Senior Manager, Data Science & Analytics at Customer.io?
- Key responsibilities include leading a team of data scientists and analysts, driving behavioral analytics, segmentation, experimentation, forecasting, churn models, and partnering with data engineering.
- What technical skills are required for the Senior Manager, Data Science & Analytics role at Customer.io?
- Required technical skills include advanced SQL, proficiency in Python or similar analytical tools, experience with experimentation, forecasting, statistical analysis, and modern analytics platforms like Snowflake and dbt.
- What is the interview process for the Senior Manager, Data Science & Analytics position at Customer.io?
- The interview process involves a video call with a recruiter, a call with the hiring manager, three calls with team members, and a take-home assignment with a review call.
- Does Customer.io offer benefits for the Senior Manager, Data Science & Analytics role?
- Yes, Customer.io offers a comprehensive benefits package including 100% coverage for medical, dental, vision, and mental health, 16 weeks paid parental leave, unlimited PTO, and a professional development budget.
- What kind of experience is preferred for the Senior Manager, Data Science & Analytics at Customer.io?
- Experience in B2B SaaS, Product-Led Growth (PLG), or subscription-based businesses is preferred for this role.
- How does Customer.io ensure a fair hiring process for the Senior Manager, Data Science & Analytics role?
- Customer.io is committed to bias-free hiring practices and increasing inclusion and equity. They aim for a clear, human process with no trick questions.