Sr. Product Manager - Digital Data Collection & Automation

About the Role

Key Responsibilities

• Own the product strategy and roadmap for analytics automation and event telemetry, aligning data collection frameworks with business KPIs.
• Define and prioritize requirements for AI/LLM-driven workflows to automate analytics event specifications and validation for digital platforms (app/web).
• Partner with engineering, data, and analytics teams to deliver scalable, cross-platform event schemas and standards (web, app, SDKs, backend).
• Evangelize automation-first analytics practices, driving adoption across product and engineering teams.
• Define success metrics and measure the impact of automated tagging and data governance initiatives.
• Build strong partnerships with data analysts and engineers to ensure accurate, scalable, and consistent event tracking across billions of daily events.
• Influence cross-functional stakeholders by translating complex technical concepts into clear business value.
• Continuously scan industry and AI/analytics trends, bringing innovation into the product strategy.
• Support go-to-market activities by ensuring product, analytics, and leadership stakeholders have access to reliable data.

Requirements

• Bachelor's Degree
• 7+ years of product management experience with strong exposure to data/analytics products.
• Experience building or managing AI- or LLM-powered products, including prompt design and automation workflows.
• Strong understanding of digital analytics platforms (Adobe Analytics, Adobe Experience Platform, Power BI) and telemetry standards.
• Proven track record of leading cross-functional teams and driving alignment across product, engineering, and data organizations.
• Proven experience defining analytics event schemas and telemetry structures across web, mobile, and backend platforms, including translating business requirements into scalable event definitions, parameters, and metadata standards.
• Excellent communication and storytelling skills, with the ability to influence executives and technical teams alike.
• Strong analytical mindset with ability to use data to define priorities, measure success, and drive continuous improvement.
• Experience with SQL and Python.

Nice to Have

• Familiarity with event schema design, QA, and governance frameworks for analytics data.

Qualifications

• At least 18 years of age.
• Legally authorized to work in the United States.

Benefits & Perks

• Competitive base salary and compensation package including annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches.
• Comprehensive health benefits including medical, dental, and vision insurance.
• Flexible spending account, paid time off, up to 12 paid holidays, paid parental and family leave, family building benefits, back-up care, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary insurance options.
• Employee discounts on mobile service and home internet, pet insurance, transit programs.
• Opportunities for career growth and development in a dynamic, innovative environment.