Analytics Manager (AI)

Location: San Francisco, California, United States; 2–3 days per week in the San Francisco office required

Salary: $120,000–$150,000 annual base salary plus annual bonus for San Francisco residents

Company

hirify.global builds technology infrastructure for the global private market, including liquidity solutions, data and insights, custody services, and an investment marketplace.

What you will do

• Own analytics strategy and decision support across Product, Growth, Revenue, Operations, and Finance.
• Translate ambiguous business questions into analytical frameworks, recommendations, success metrics, and action plans.
• Analyze customer behavior, marketplace dynamics, product performance, growth opportunities, and business results.
• Design and evaluate experiments, including A/B tests and causal measurement, to guide product, marketing, and operational decisions.
• Develop predictive and statistical models and identify practical applications for machine learning, generative AI, and automation.
• Build trusted dashboards, KPI frameworks, recurring reports, self-service assets, and automated analytical workflows while improving data quality.

Requirements

• 5–7 years of experience in analytics, data science, quantitative strategy, or a related field.
• Bachelor’s degree.
• Advanced SQL and strong Python skills for statistical analysis, machine learning, and automation.
• Experience designing experiments, building predictive models, and applying machine learning to business problems.
• Experience with Snowflake and Looker.
• Strong communication, stakeholder partnership, ownership, and decision-influencing skills.

Nice to have

• Experience deploying, operationalizing, or monitoring machine learning models.
• Experience in customer lifecycle, marketplace, fintech, investment, product, or growth analytics.
• Experience using generative AI or LLM-based tools for analytical workflows or business solutions.
• Familiarity with product analytics, marketing measurement, experimentation platforms, or event instrumentation.

Culture & Benefits

• High-impact individual contributor role with broad ownership and no direct reports.
• Close collaboration with Product, Engineering, business leaders, and data teams.
• Work focused on practical analytics and AI use cases, measurable value, and trusted outputs.
• Background checks, employment and education verification, criminal history searches, fingerprinting, and drug testing are conducted upon offer.
• Equal opportunity workplace committed to diversity and inclusion.