Lead Product Manager – Marketing Attribution & Performance

Responsibilities

• Translate business and analytical needs into prioritized epics, features, user stories, acceptance criteria, and release plans.
• Lead discovery, minimum viable product (MVP) definition, sequencing, dependency management, delivery, adoption, and continuous improvement.
• Build a capability roadmap spanning measurement, identity, data products, reporting, experimentation, and decision intelligence.
• Define the enterprise measurement framework for marketing-sourced and marketing-influenced pipeline, opportunities, bookings, revenue, and return on investment.
• Develop and govern first-touch, last-touch, and multi-touch attribution models with clear business rules, assumptions, limitations, and explanations.
• Partner with Data Science and Analytics on incrementality testing, holdouts, lift methodologies, experimentation, and Media Mix Modeling.
• Connect campaign, content, channel, audience, spend, engagement, marketing-qualified lead (MQL), business development representative (BDR) engagement, opportunity, pipeline, bookings, and revenue data.
• Define key performance indicator (KPI) hierarchies, semantic definitions, attribution windows, opportunity-association logic, source rules, and performance benchmarks.
• Deliver reporting and analytical products that explain performance by program, campaign, channel, audience, segment, geography, funnel stage, and investment.
• Define product requirements for identity resolution across anonymous IDs, cookies, device and digital IDs, hashed identifiers, known person and account IDs, customer relationship management (CRM) records, and opportunity entities.

Requirements

• 8+ years of Product Management experience, preferably with enterprise data, analytics, Marketing Technology, or business-to-business software as a service (B2B SaaS) products.
• Deep understanding of Marketing business processes, campaign and demand-generation operations, performance management, and the relationship between Marketing activity and the sales and opportunity funnel.
• Demonstrated experience with first-touch, last-touch, and multi-touch attribution; incrementality; experimentation; Media Mix Modeling; and marketing-sourced versus marketing-influenced reporting.
• Strong technical product fluency in data modeling, identity resolution, event and campaign data, integrations, metadata, data quality, lineage, semantic definitions, and analytical architecture.
• Working knowledge of anonymous, digital, and known identity patterns across advertising technology, marketing technology, customer data platforms, marketing automation, web analytics, CRM, and Sales Technology.
• Proven ability to create a product vision and OKRs and translate them into roadmaps, epics, features, user stories, acceptance criteria, and prioritized backlogs.
• Experience partnering with Data and Analytics, Data Science, Engineering, and Architecture teams to deliver trusted reporting and measurement products.
• Ability to evaluate and apply industry standards and best practices rather than simply automate current processes.
• Strong executive presence, facilitation, storytelling, and influence across Marketing, Sales, Finance, Data, and Technology.

Preferred

• Experience with Adobe Workfront or comparable planning and workflow platforms.
• Experience with generative or agentic AI in analytics, decision support, or performance optimization.
• Experience defining identity, attribution, or measurement products across complex marketing and sales technology ecosystems.
• Experience with privacy-conscious data governance, consent-aware measurement, or data quality and observability practices.
• Experience applying external standards and best practices in marketing attribution, performance management, experimentation, or Media Mix Modeling.

Benefits

• Learn more about UKG’s benefits and rewards at https://www.ukg.com/about-us/careers/benefits