Responsibilities

• Lead the product vision and roadmap for Newton's agentic measurement offerings and models, spanning MMM, MTA, incrementality testing, and cross-channel insights
• Deeply understand customer measurement workflows through direct discovery, data, and experimentation; translate insights into clear product requirements and hypotheses
• Partner closely with data science to shape modeling approaches—including Bayesian MMM, causal inference (e.g., PCMCI+), adstock modeling, and incrementality frameworks—ensuring methodological rigor translates into usable, trustworthy products
• Define how measurement intelligence feeds Newton's agentic capabilities, closing the loop between insights and autonomous media optimization
• Rapid-prototype new measurement features and insight experiences, demo them to customers weekly, and iterate relentlessly based on quantitative usage data and qualitative feedback
• Own the end-to-end product lifecycle—from concept to launch to iteration—tracking KPIs, model performance metrics, and usage analytics to inform prioritization
• Collaborate with marketing, sales, and customer success on positioning, packaging, and GTM plans that differentiate Newton's measurement story and accelerate adoption
• Lead cross-functional squads, driving crisp execution in an Agile product development lifecycle
• Stay current on measurement industry evolution—privacy changes, signal loss, walled garden reporting, emerging standards—and translate those shifts into product strategy

Requirements

• 5–8 years of hands-on experience in marketing measurement, analytics, or marketing science—including direct work with MMM, MTA, incrementality testing, or media effectiveness methodologies
• 5+ years of product management experience, with 2+ years building measurement, analytics, or AI/ML products at scale
• Solid understanding of statistical modeling concepts (Bayesian methods, causal inference, regression, time-series analysis) and the ability to engage credibly with data scientists on methodology choices
• Experience with multi-channel media environments—understanding how paid search, social, programmatic, CTV, retail media, and offline channels interact in a measurement framework
• Familiarity with the practical challenges of measurement: data gaps, attribution bias, signal loss from privacy regulations, walled garden limitations, and cross-device reconciliation
• Strong ability to define, communicate, and execute a product vision across business and technical stakeholders

Preferred

• Experience working with agency measurement teams, brand analytics groups, or marketing science consultancies is a strong plus
• Passion for marketing science, media analytics, and the adtech/martech ecosystem
• Excellent written and verbal communication skills—you simplify complexity, influence customers, and inspire teams