Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Marketing @ 4
Python @ 6
SQL @ 6
dbt @ 4
Data Science @ 4
Hiring @ 4
Leadership @ 4
Communication @ 4
Data Engineering @ 4
Experimentation @ 4
Snowflake @ 4
AI @ 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 Customer.io
Over 9,000 companies — from scrappy startups to global brands — use Customer.io to send emails, push notifications, in-app messages, and SMS. Customer.io powers automated communication using real-time behavioral data.
Role overview
You will lead and evolve Customer.io's internal data science & analytics function as a strategic partner across Product, Marketing, Sales, and Customer Experience. The team focuses on forecasting, experimentation, behavioral analytics, and measurement to guide decisions, define success metrics, improve customer and product experiences, and drive operational efficiencies.
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.
- Develop and maintain revenue forecasts, churn models, customer health scores, and account/opportunity scoring models used across the business.
- Partner with the data engineering team to manage the 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.
- Serve as a strategic partner to leaders, helping shape priorities and influence decisions through analysis and clear communication.
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.
Why this role
You will own a team and the data function at a company building toward an AI-native analytics future. The role offers a seat at the table with senior stakeholders and latitude to shape how data drives decisions at Customer.io.
Compensation & Benefits
- Starting salary: $170,000 - $200,000 USD (depending on experience and subject to market rate adjustment).
- 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family.
- 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.
Interview 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
Final candidates will complete a background check and employment verifications as part of pre-employment.
Values & Inclusion
Customer.io emphasizes business impact through data, strategic partnership, ownership and rigor, and leadership and development. The company is committed to inclusion and equity in hiring and team culture.