Senior Technical Product Manager – Analytics and Measurement

This is a fully remote position, open to applicants in Florida.

📋 Description

• Take ownership of the roadmap, backlog, and delivery for Studio and Exhibitor analytics, including measurement, dashboards, reports, and self-service experiences.

• Establish KPIs, calculations, comparisons, reporting requirements, and acceptance criteria in collaboration with Studio and Exhibitor users as well as customer-facing teams.

• Design chat and agentic analytics experiences, which encompass questions, metric logic, data context, tools, and workflows.

• Implement client-side tag placements, modifications, removals, and validation within Adobe and Google Analytics environments.

• Assist in server-to-server CAPI measurement solutions alongside tag support.

• Utilize SQL and AI-assisted or agentic workflows to develop metric logic, queries, prototypes for dashboards and reports, and ongoing analyses.

• Verify calculations, source data, edge cases, and answer quality prior to release.

• Prototype and configure dashboards and reports utilizing AWS analytics and AI services, such as Amazon Quick Suite/Quick Sight and Amazon Bedrock AgentCore, alongside Omni, Tableau, or ChatGPT.

• Monitor accuracy, adoption rates, usability, documentation, and data access controls.

• Work collaboratively with BI, Data Science, Data Engineering, UX, and Engineering teams to productionize and enhance products.

⛳️ Requirements

• Over 6 years of experience in product management, BI, analytics, or data products, specifically involving analytics utilized by customers or business teams.

• Proficient in SQL and data fluency, including joins, grain, aggregations, metric definitions, reporting logic, and troubleshooting unexpected results.

• Practical experience in building or configuring dashboards, reports, or analytics views using Amazon Quick Suite/Quick Sight, Omni, Tableau, Looker, Superset, or similar tools.

• Hands-on experience applying generative AI and agentic workflows for analytics production.

• Capable of validating AI-generated analyses for calculation accuracy, explainability, data permissions, and alignment with agreed metric definitions.

• Familiarity with event tracking, measurement tags or pixels, and conversion measurement.

• Strong communication skills and the ability to prioritize effectively across product, data, and engineering teams.

• Knowledge of server-to-server APIs is a plus.

🏝️ Benefits

• Competitive compensation.

• Comprehensive benefits package.

• Opportunities for personal and professional growth.

• Flexibility with a remote-first work environment.

• Chances for in-person collaboration.

• Health insurance coverage.

• Retirement plans.

• Paid time off.