Product Analytics Manager

Heartflow•San Francisco, CA

5d•$155,000 - $200,000•Hybrid

About The Position

Heartflow is seeking a Product Analytics Manager to own product analytics for its expanding medical technology platform. Reporting to the Director of Strategic Analytics, this person will partner with Product, Engineering, and Commercial leaders to understand how customers adopt and use products, identify what drives retention and utilization, and determine whether new capabilities change behavior. The role combines hands-on analysis, experimentation, data instrumentation, dashboarding, and communication of recommendations that shape the product roadmap. The manager will establish product measurement foundations, including event taxonomies, tracking plans, governed metrics, and QA processes. They will analyze product behavior at user and site levels, measure launches, integrate quantitative usage data with customer feedback, and help stakeholders access product insights through dashboards and self-service reporting. The role also champions practical use of AI and LLM tools to accelerate analysis, automate recurring work, and broaden access to product data. The position operates in a regulated medical-device environment and requires adherence to Heartflow’s data handling, privacy, and quality policies. The successful candidate will present findings to senior leaders, collaborate across functions, and mentor analysts. The salary range is $155,000–$200,000, plus cash bonus. The posting includes the designation “#LI-Hybrid.”

Requirements

Bachelor’s degree in a quantitative field such as Statistics, Economics, Computer Science, Mathematics, Engineering, or a related discipline.
At least 8 years of experience in analytics, data science, or a related field, including at least 3 years focused on product analytics.
Deep expertise in product analytics, including experimentation, cohort and retention analysis, funnel analysis, and feature adoption measurement.
Strong statistical foundation, including hypothesis testing, power and sample-size analysis, regression, and causal inference methods.
Advanced SQL and proficiency in Python for analysis, modeling, and automation.
Experience with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery.
Strong BI and data visualization skills, using Tableau or similar tools.
Hands-on experience with product analytics and observability platforms such as Mixpanel, Amplitude, or Datadog, including event schemas and tracking plans developed with Engineering.
Practical daily use of LLM tools such as Claude, ChatGPT, or Copilot to accelerate analysis and coding, and curiosity about AI-enabled analytics workflows and products.
Ability to translate ambiguous business questions into structured analyses and communicate complex results as actionable recommendations to technical and non-technical audiences.
Cross-functional collaboration with Product, Engineering, Design, Customer Success, and Commercial teams, including ability to influence without direct authority.
Strong product sense and business acumen, connecting user behavior to customer value and company outcomes.
Highly organized and self-directed, with a bias for action and a commitment to data quality and analytical rigor.
Demonstrated track record of designing and analyzing experiments that influenced product decisions.
Experience leading analytics instrumentation projects in partnership with Engineering.

Nice To Haves

Master’s degree.
Experience with semantic layers or metrics stores such as Cube or dbt.
Familiarity with healthcare data privacy requirements such as HIPAA and experience working in a regulated environment.
Experience in B2B SaaS, healthcare technology, or medical devices.
Experience mentoring or managing analysts.

Responsibilities

Own the analytical agenda for the Heartflow platform and identify features, workflows, and behaviors that drive adoption, retention, and utilization; turn findings into prioritized recommendations for Product and Commercial leadership.
Design, run, and analyze A/B tests, feature-flag tests, and staged rollouts using hypotheses, power analysis, and success metrics; use quasi-experimental methods when randomized testing is not feasible.
Define and maintain a governed product metrics framework covering north-star, activation, engagement, retention, and feature adoption metrics, connected to commercial outcomes such as site utilization and revenue.
Partner with Engineering to implement event tracking in Mixpanel and observability signals in Datadog; own the tracking plan and event taxonomy, and establish data-quality QA processes.
Build cohort, funnel, and lifecycle analyses at the user and site level to assess ramp, engagement, and churn risk; develop product health indicators for Customer Success and Sales.
Build and maintain dashboards and self-service reporting using tools such as Tableau, Mixpanel, and semantic-layer tools.
Define success criteria before product launches, measure post-launch performance, and conduct structured readouts.
Combine quantitative usage data with customer feedback, support tickets, surveys, and user research to understand the customer experience.
Promote use of AI and LLM tools across analytics, including code generation, automated analysis, natural-language access to product data, and AI-assisted tools.
Ensure product analytics practices follow Heartflow’s data handling, privacy, and quality policies, working with Data Engineering, Security, and Quality/Regulatory teams as needed.
Present findings and recommendations to senior leadership using clear narratives and visuals; mentor analysts and promote analytical rigor across the team.