Lead Product Manager, Data and AI Products

Mindbody

1d•$150,000 - $205,000

About The Position

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. We're looking for a seasoned product leader to define and execute the product strategy for data and AI/ML products at Playlist. Playlist sits on the largest wellness data set in the world — a genuine competitive advantage — and this role exists to answer a deceptively simple question: which products should we build to unlock the value of that data, and what infrastructure do we need to leverage it at scale? You'll own both our flagship reporting and analytics products and a new generation of AI-powered products, building first for Mindbody before scaling across the broader Playlist portfolio. This is a senior individual-contributor role with a clear path to grow into management. You'll partner with a strong, senior engineering team and stakeholders across the company, and you'll spend meaningful time with customers to validate what we build.

Requirements

You have a track record shipping impactful, well-loved data, analytics, or AI/ML products, with experience spanning both data science and product management.
You have proven zero-to-one experience — concepting and shipping new products into white space — alongside the ability to scale and optimize mature products.
You are deeply analytical and product-intuitive, fluent in defining, querying, and interpreting your own data, and you anchor decisions in clear impact metrics.
You have hands-on AI experience and are comfortable leveraging AI tools to build products. You don't need to be an AI specialist, but you understand the trade-offs between probabilistic AI and deterministic data systems.
You are comfortable with heavy stakeholder management in an enterprise environment and have a strong track record as a communicator, influencer, and cross-functional partner.
You have a strong understanding of user experience and can drive UX quality even without a dedicated designer on the squad.
You're experienced with agile discovery and development and working collaboratively with strong, senior, primarily backend engineering teams.
You have at least 4+ years of product management experience, with the seniority to operate independently and drive value with a senior team.

Responsibilities

Define the product strategy for company-wide data products — determining which reporting/analytics and AI-powered products to build to maximize the value of Playlist's wellness data, and the infrastructure required to deliver them at scale.
Manage and grow our flagship analytics products while building net-new products from zero to one — concepting, validating, and shipping into white space.
Lead the development of AI-powered products such as agent-driven reporting and the creation of new data assets, including modeling and aggregating data for machine learning.
Continuously improve the user experience of data and AI/ML products, balancing the realities of a probabilistic AI environment with the rigor of a deterministic data environment.
Validate proofs of concept directly with customers, spending regular time on customer calls to ground decisions in real needs.
Lead ideation, evaluation, definition, and prioritization of the squad roadmap, scoping the highest-ROI opportunities for a cross-functional team of engineers.
Build alignment with stakeholders across the organization, seeking a range of perspectives and soliciting honest feedback in a heavy enterprise stakeholder environment.
Synthesize quantitative and qualitative data to inform key product decisions, and drive measurable impact alongside a senior engineering team.