Manager of Product & Data Analytics

Location: Hybrid from Waltham, Massachusetts, United States

Salary: $109,200–$136,500 USD per year; some roles may be eligible for additional commission or bonus.

Company

hirify.global provides online marketing and business-growth tools for businesses, entrepreneurs, non-profits, and individuals.

What you will do

• Lead, coach, mentor, recruit, and develop a high-performing team of product analysts while maintaining high standards for analytical quality, business impact, and storytelling.
• Partner with Product, Design, Engineering, Growth, Marketing, Finance, and business leaders to translate strategic questions into analytical agendas and prioritize the analytics backlog.
• Investigate activation, engagement, conversion, retention, churn, and monetization changes to identify root drivers across acquisition mix, seasonality, channels, platforms, cohorts, and customer segments.
• Champion causal inference, A/B testing, experimental design, cohort analysis, statistical standards, and controls for Simpson’s paradox, selection effects, survivorship bias, denominator changes, and instrumentation issues.
• Establish trusted KPIs, leading indicators, metric trees, customer segments, telemetry, and telemetry standards before products ship.
• Scale AI-native workflows using tools such as Claude Code, advanced SQL/Python, and automated metrics while translating complex analyses into clear visuals and recommendations for VP and C-suite stakeholders.

Requirements

• 6+ years of experience in product analytics, growth analytics, or decision science, including 2+ years of direct people management or formal team leadership in a technology, subscription, SMB, or consumer-facing business.
• Demonstrated success recruiting, mentoring, and retaining talent, including developing junior and senior analysts in statistical reasoning, product sense, and executive presence.
• Mastery of activation, engagement, conversion, retention, churn, monetization, and LTV mechanics, with practical judgment to decompose metric movements into root causes.
• Strong foundation in experimentation, cohort analysis, hypothesis testing, sample sizing, causal inference, and rigorous experimental design.
• High proficiency in SQL and cloud data warehouses including Snowflake, BigQuery, or Databricks; working knowledge of Python or R for statistical analysis.
• Enthusiasm for AI tools including Claude Code, ChatGPT, GitHub Copilot, and Cursor, with the ability to rigorously audit AI-generated code and assumptions.
• Exceptional product sense, business acumen, and understanding of the downstream business and financial implications of user behavior.
• Excellent verbal, written, and visual communication skills, including comfort challenging assumptions and presenting complex findings to VP and C-suite stakeholders.

Nice to have

• Experience with experimentation platforms such as Statsig or Optimizely and behavioral analytics platforms such as Amplitude, Mixpanel, or Google Analytics.
• Experience with growth or acquisition analytics, lifecycle marketing, or dbt and modern metric transformation layers.
• Educational background in Economics, Statistics, Computer Science, Mathematics, Psychology, or a related quantitative field.
• Experience in SMB technology, email or marketing technology platforms, or AI-powered product experiences.

Culture & Benefits

• Hybrid work combining remote work with in-person collaboration, live training, and socializing at office locations.
• Culture focused on ownership, integrity, courage, high agency, intellectual curiosity, continuous learning, and career development.
• Diversity and inclusion programs with educational opportunities.
• Professional development, coaching, stretch assignments, and opportunities to learn different aspects of the business.
• Generous paid time off and health and welfare benefits supporting employees and their families.