Senior Manager, Data Science & Analytics

About

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. 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 '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 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 .

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.

Zone 1: $204,000 - $240,000
Zone 2: $187,000 - $220,000
Zone 3: $170,000 - $200,000

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

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

  • 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.

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 letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact [email protected].

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.

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • How did your hear about this job?
  • What location are you based in? choose one
  • Were you referred to this position by a current or former team member? If so, please list their name below.
  • LinkedIn Profile URL
  • If you have previously been employed with Customer.io, please provide the department or role that you had. optional
  • Have you previously been employed with Customer.io? choose one
  • Do you currently work for, or have you worked for, a company or partner agency that uses Customer.io in the past 2 years? choose one
  • If you answered “Yes" to the question above, please list the company or partner agency name(s).
  • Will you require work authorization/visa sponsorship? choose one
  • How many direct reports have you managed? choose one
  • How many years have you been in a people management role? choose one
  • Which of the following have you done hands-on in the last 2 years? choose any
  • Which data warehouse(s) have you worked with? Select all that apply: choose any
  • What is your total years of experience in data science, analytics, or a related quantitative field? choose one
  • Which best describes how data requests typically come to you? choose one
  • What does your current or most recent team's work primarily support? Select all that apply. choose any
  • In your most recent role, approximately what percentage of your time was spent leading and managing your team vs. doing hands-on technical work? choose one

See also

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