Senior Product Manager, Metrics & Measurement

CreatorIQ is the operating system for creator-led growth that helps brands and agencies manage creator marketing. The Senior Product Manager, Metrics & Measurement will own how content performance is defined, unified, and presented across platforms, partnering with product, engineering, data teams, and platform partners. The role involves designing cross-platform measurement logic, validating data through SQL and APIs, and prioritizing the measurement roadmap.

Responsibilities:

• Define the metric and data requirements each platform integration must meet, partnering with the product managers who own platform partnerships
• Define what each performance metric means on each platform: reach, impressions, views, engagement rate, completion rate, and platform-specific metrics, and document how each platform calculates it
• Design the cross-platform measurement logic that lets customers compare performance across platforms in a single, trustworthy view
• Specify custom metrics for customers, including the exact calculation and data requirements behind each one
• Write technical specifications for mapping metrics across platform APIs, covering field mapping, refresh cadence, and known limitations
• Validate metrics and data hands-on: writing SQL, running scripts, and calling APIs directly before finalizing a specification
• Track platform API changes and represent measurement requirements in partner and integration reviews
• Write product requirements documents engineers can build from, and prioritize the measurement roadmap against customer impact, platform constraints, and engineering cost

Requirements:

• 5+ years in product management, or equivalent experience, including at least 2 years on a measurement, analytics, or data product
• Enough engineering depth to work as a technical peer to your engineers : able to read code, review a technical design, and contribute to an engineering design review
• Strong SQL skills, including multi-table joins, window functions, aggregations, and common table expressions, with the ability to validate a metric end to end in the data yourself
• Experience querying both an analytical store (e.g., Amazon Redshift, ClickHouse, or Snowflake) and a transactional store (e.g., PostgreSQL or SQL Server), and knowing which fits which question
• Ability to write Python, or an equivalent language, to test an API, parse a response, validate a data set, or prototype an idea
• Ability to work directly with a third-party API : reading documentation, building requests, authenticating, and inspecting responses , including working knowledge of OAuth 2.0 (authorization flow, access tokens, refresh tokens, scopes, and token expiry)
• Comfort on the command line, able to navigate a shell, run a script, and read its output without a graphical tool
• AI Capable: Uses approved AI tools independently to improve work quality and efficiency, for example, an AI coding tool such as Cursor or Claude Code for scripting and data work, or a language model to draft a specification, build a data-mapping table, or debug an API response , including drafting, summarizing, researching, analyzing, and reviewing outputs for accuracy
• Working knowledge of how social platforms measure content performance: reach, impressions, views, engagement rate, video completion rate, and audience demographics
• Clear written and verbal communication, able to translate a technical constraint for a non-technical colleague and a business requirement for an engineer
• Direct experience with a major social platform API, such as the Meta Graph API, the TikTok API, or the YouTube Data API
• Experience managing a relationship with an external platform, vendor, or data provider
• Experience at an influencer marketing platform, a social media management platform, or a social analytics company
• Familiarity with data warehouse schema design, enough to discuss table and index design with engineers
• Experience defining or auditing engagement rate, or a similar calculated metric, in a customer-facing product