5 дней назад
Product Analytics Manager (AI)
140 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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