Principal Product Manager, Data & AI

simplepractice55; United States; Remote; USD 224,000 - 280,000; Full time

Benefits offered by this job

Medical coverage

Retirement match

Flexible time off

Job summary

SimplePractice is seeking a senior product leader to own the strategy for our customer data platform, aligning data engineering with product, marketing, and customer experience. The role focuses on turning fragmented data into trusted foundations for company metrics and activation workflows.

You will drive strategy, roadmaps, and governance for unified profiles, segmentation, and experimentation, partnering with data teams and analytics leaders to enable scalable platforms and cross-team plans.

Qualifications

• 10+ years of product management or related experience in data, analytics, infrastructure, or platform products.

Responsibilities

• Set the strategy, roadmap, and operating model for a customer data platform.
• Partner with data engineering on the enterprise warehouse and platform roadmap for reporting and analytics.
• Translate business needs into scalable platform capabilities with clear priorities and cross-team plans.
• Establish metric governance and certification practices with analytics leaders.

Skills

Product management

Cross-functional collaboration

Data platform understanding

Product strategy

Tools

Snowflake

dbt

Segment

HubSpot

Mixpanel

Job description

Role overview

Own the product strategy for shared data platforms and capabilities, connecting data engineering and analytics with product, marketing, customer experience, and go-to-market teams. The goal is to turn fragmented data sources into trusted foundations for company metrics, customer understanding, experimentation, and activation workflows.

Responsibilities

• Set the strategy, roadmap, and operating model for a customer data platform that supports unified profiles, segmentation, activation, and experimentation.
• Partner with data engineering on the enterprise warehouse and platform roadmap for reporting, analytics, and downstream products.
• Translate business needs into scalable platform capabilities, clarifying priorities, dependencies, and cross-team plans.
• Establish metric governance and certification practices with analytics leaders so teams can rely on consistent definitions and sources of truth.
• Help users adopt core data platforms and configure end-to-end workflows that support acquisition, customer success, and operations.

Requirements

• 10+ years of product management or related experience, with a record of delivering data, analytics, infrastructure, or platform products.
• Strong understanding of customer data platforms, event instrumentation, experimentation, warehouses, data pipelines, modeling, and governance.
• Experience with modern data tools such as Snowflake, dbt, Segment, HubSpot, Mixpanel, or equivalents.
• Practical experience scaling experimentation and activation in a consumer or product-led growth environment.
• Ability to assess technical architecture and explain trade-offs to technical and business audiences.
• Strong product judgment and cross-functional influence, including experience in privacy-, security-, or compliance-sensitive environments.

Nice to have

• Hands-on background in data engineering, analytics engineering, or data modeling.
• Experience supporting business-to-business sales and go-to-market tools, or working in healthcare settings subject to HIPAA requirements.

Benefits and work setup

• Medical, dental, vision, life, and disability coverage; retirement plan with company match; flexible time off, wellbeing days, holidays, and summer Fridays.
• Mental health resources, parental leave, backup care, tuition support, and employee resource groups.
• Listed annual base compensation range: $224,000–$280,000 USD.