Staff Analytics, Product & Marketing

Mountain View, CA (Hybrid)

$215K/yr – $263K/yrSenior Level7+ years expFull time

Posted 7 weeks ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Summary

Own the data driven growth analytics stack and AI powered workflows to turn product and marketing signals into actionable growth levers.

  • Own product and growth analytics across activation, engagement, retention, and monetization with causal inference and uplift signals.
  • Build AI driven analytics agents to automate experiments, funnel diagnostics, anomaly detection, and executive-ready readouts at scale.

Job Description

Responsibilities

  • Collaborate with Product, Engineering, Marketing, and cross‑functional partners to inform, influence, and execute strategy across product and growth surfaces.
  • Build AI‑driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, and partner with Engineering to productionize these systems at scale.
  • Develop and maintain experimentation, causal measurement, and product analytics frameworks that support acquisition, activation, engagement, retention, monetization, and LTV.
  • Design and implement measurement and modeling approaches across paid, owned, and product surfaces, using uplift modeling, causal inference, and experimentation rigor (MMM optional).
  • Develop a deep understanding of complex product and marketing systems to identify opportunities, risks, and levers for growth.
  • Communicate insights clearly to technical and non‑technical audiences, influencing product and marketing roadmaps through data, modeling, and AI‑driven insights.

Requirements

  • 7+ years in analytics, data science with deep hands‑on execution.
  • Strong technical skills in SQL, Python, experimentation, and statistical modeling.
  • Experience building AI‑driven analytics workflows (LLMs, agents, automation, or similar).
  • Solid background in product and growth analytics across activation, engagement, retention, and monetization.
  • Experience with causal inference, uplift modeling, and experimentation frameworks.
  • Ability to operate as a high‑leverage IC who partners closely with executives and cross‑functional leaders.
  • Excellent communication and storytelling skills for technical and non‑technical audiences.

Preferred

  • Experience in fintech, consumer tech, or data‑driven product organizations is a plus.
  • Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker) is a plus

Benefits

  • equity and benefits
A16Z GAMES logo

A16Z GAMES

Over the past decade, games have radically transformed from packaged entertainment to social network-like online services that scale like consumer technology companies. Today’s games also drive innovation across the entire consumer ecosystem through new methods of engagement, retention, and monetization. We believe that games will play a pivotal role in defining how we socialize, play, and work over the next century.Investing Themes:Game Studios: Today’s best games are continually updated online services whose players form an integral part of the game through multiplayer and user-generated content. These “games-as-a-service” have become rich, interactive social networks whose in-game player friendships rival those made in person. Games x Consumer: The rapidly growing number of gamers worldwide has created a thriving ecosystem of consumer apps to support them. As gaming becomes the top way people spend time, we believe some of the most innovative consumer companies will be built around player communities. Infrastructure: As games evolve into virtual worlds and online services, the demand for the tools and services needed to build great games will only continue to skyrocket. We also believe the coming metaverse will be built by games companies, using games technologies.

Cloud, Iowa, USA

Traffic Signals

Monthly Visitors
736.7K
Traffic Source Mix
Search
39.7%
Direct
47.4%
Referral
7.6%
Social
4.4%
Paid
0.6%

Marketing Team

Marketing Roles Posted (Last 30 Days)
8