Product Analytics Manager (AI)

Location: Hybrid role in Rohnert Park or San Francisco, California

Salary: $155,000–$200,000 plus cash bonus

Company

hirify.global is a publicly traded medical technology company developing AI-driven, non-invasive solutions for diagnosing and managing coronary artery disease.

What you will do

• Own product analytics for the hirify.global platform and identify features, workflows, and behaviors that drive adoption, retention, utilization, and commercial outcomes.
• Design and analyze A/B tests, feature flags, staged rollouts, and quasi-experimental studies using rigorous hypotheses, power analysis, and success metrics.
• Define the product metrics framework and build cohort, funnel, lifecycle, retention, and feature-adoption analyses at user and site level.
• Partner with Engineering on Mixpanel event tracking, Datadog observability signals, event taxonomy, tracking plans, and data-quality QA.
• Build dashboards and self-service reporting in Tableau, Mixpanel, and semantic-layer tools for Product, Engineering, Commercial, and executive stakeholders.
• Present recommendations to senior leadership, combine quantitative usage data with customer feedback, support tickets, surveys, and research, and mentor analysts.

Requirements

• Bachelor’s degree in Statistics, Economics, Computer Science, Mathematics, Engineering, or a related quantitative discipline; Master’s degree preferred.
• 8+ years of experience in analytics, data science, or a related field, including at least 3 years focused on product analytics.
• Deep expertise in experimentation, cohort and retention analysis, funnel analysis, and feature-adoption measurement.
• Strong statistical foundation in hypothesis testing, power and sample-size analysis, regression, and causal inference.
• Advanced SQL and proficiency in Python for analysis, modeling, and automation, plus experience with cloud data warehouses such as Redshift, Snowflake, or BigQuery.
• Strong BI and data-visualization skills and hands-on experience with product analytics or observability platforms such as Mixpanel, Amplitude, or Datadog.
• High AI fluency, including daily practical use of LLM tools such as Claude, ChatGPT, or Copilot for analysis and coding.
• Ability to translate ambiguous business questions into structured analyses and communicate actionable recommendations to technical and non-technical audiences.
• Cross-functional experience with Product, Engineering, Design, Customer Success, and Commercial teams; experience leading instrumentation projects with Engineering.
• Experience designing and analyzing experiments that influenced product decisions; experience in B2B SaaS, healthcare technology, or medical devices is strongly preferred.
• Highly organized and self-directed, with a commitment to data quality and analytical rigor.

Nice to have

• Experience with semantic layers or metrics stores such as Cube or dbt.
• Familiarity with healthcare data privacy requirements such as HIPAA and regulated environments.
• Experience mentoring or managing analysts.

Culture & Benefits

• Hybrid work arrangement in California.
• Work in a regulated medical-device environment focused on precision heart care and healthcare innovation.
• Cash bonus in addition to the stated salary range.
• Equal-opportunity workplace committed to respect and non-discrimination.