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5 дней назад

Product Analytics Manager (AI)

140 000 - 240 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Analytics Manager (AI): Building the experimentation, analytics instrumentation, data pipeline, and KPI reporting backbone for a gaming platform with an accent on product analytics, statistical analysis, and causal inference. Focus on designing multi-test experiments, analyzing event-level data, informing pricing and advertising decisions, and translating findings into measurable product recommendations.

Location: On-site in New York City, United States

Salary: $140,000–$240,000 per year, plus equity

Company

hirify.global is an AI research lab building large action models and world models for virtual and physical environments, supported by Medal, a gaming clips platform.

What you will do

  • Own the company-wide testing roadmap, analytics instrumentation, data pipeline, KPI reporting, and analytical publications.
  • Design and analyze experiments, including hypotheses, sample sizes, guardrail metrics, controls, readouts, and causal analyses when A/B testing is not possible.
  • Manage a complex multi-test pipeline and coordinate with engineers on telemetry, data scaffolding, and release cycles.
  • Develop analytics for pricing, willingness to pay, conjoint analysis, price elasticity, upsells, and bundles.
  • Support business and product decisions involving advertising incrementality, subscription pricing, and conversion.
  • Communicate findings through confidence intervals, effect sizes, data storytelling, and thought-leadership publications.

Requirements

  • 3–5 years of experience managing and researching product analytics, or a master's degree in statistics or a related field.
  • Strong applied statistics skills, including regression, experimental design, and causal inference.
  • Strong SQL, Python, or R skills with event-level data at consumer scale.
  • Experience with BigQuery, Snowflake, Airflow, or equivalent data warehouse tooling.
  • Experience with Amplitude, Tableau, or equivalent product analytics and business intelligence tools.
  • Strong communication, analytical storytelling, roadmap ownership, and judgment about what data can and cannot answer.

Nice to have

  • Experience with Bayesian methods.
  • Ability to conduct qualitative UX research.
  • Experience using AI tools to improve analysis while validating their outputs.

Culture & Benefits

  • Lean, high-ownership data team with direct collaboration with business and product leadership.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k), fertility and parental benefits, and generous paid time off.
  • Daily meals, wellness and commuter benefits at the New York City headquarters.
  • Learning and development stipend.

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