Senior Manager Data Science, Product Analytics

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You’ll Have at Moloco

The Moloco Ads Data Science team provides the analytics, measurement, and insights that guide Moloco’s product and business strategy. As a leader of the Product Data Science function for Moloco Ads, you will partner closely with senior Product Management, Engineering, and Business leaders to deliver high-quality analysis and insights that shape our product roadmap and long-term vision.

This is a hands-on, high-growth, high-impact leadership role with responsibility for setting analytical standards, driving org-wide initiatives, and leading and growing a team of data scientists and data science managers.

The Opportunity

Own and evolve product health metrics

• Define and own the metrics that measure the health of the Moloco Ads product end-to-end

• Establish clear input/output metrics across core ML, bidding, and delivery components

• Build causal frameworks to understand performance drivers and business tradeoffs

• Guide launch and ramp decisions through rigorous experimentation and A/B testing

• Communicate metric movements and insights clearly to Moloco Ads leadership

Influence product and R&D strategy through deep analysis and experimentation

• Conduct deep-dive analyses on large-scale datasets to extract meaningful signal from noise

• Design and execute experiments that inform product and algorithmic decisions

• Translate analytical findings into clear, actionable recommendations that improve Moloco’s complex ML and bidding systems and drive customer performance

Evaluate and maintain ads system health

• Develop a holistic understanding of Moloco’s ads ecosystem and its interconnected components

• Diagnose performance changes and system issues using robust monitoring and diagnostic frameworks

Scale insight through AI and analytics tooling

• Leverage and build AI-powered analytics and decision-support tools (e.g., experimentation platforms, automated insights, LLM-enabled analysis workflows)

• Enable teams across Moloco to access insights at scale and make faster, better data-driven decisions

What You’ll Bring

Leadership & People Management

• Proven experience leading product data science teams and elevating analytical quality across an organization

• Strong people leadership skills, including mentoring and coaching, fostering a growth mindset, and supporting career development

• Empathetic and thoughtful leadership style, with the ability to be decisive and hold teams accountable

• Experience delegating effectively while maintaining high standards for execution and impact

Communication & Influence

• Strong communication skills with a solid technical foundation

• Experience partnering cross-functionally with Product, Engineering, and Business leaders

• Ability to clearly communicate data ins