Lead Product Manager – Marketing Attribution & Performance

Location: Remote, United States

Salary: $133,900–$190,750 base pay per year, with potential performance-based bonus and restricted stock unit awards.

Company

hirify.global provides a workforce operating platform using workforce insights and AI to help organizations build trust, improve productivity, and empower talent.

What you will do

• Own the product vision, strategy, roadmap, OKRs, and measurable outcomes for Marketing Attribution and Performance.
• Translate business and analytical needs into prioritized epics, features, user stories, acceptance criteria, release plans, and delivery roadmaps.
• Define enterprise measurement frameworks and govern first-touch, last-touch, multi-touch, incrementality, experimentation, and Media Mix Modeling approaches.
• Connect campaign, content, channel, audience, spend, engagement, MQL, BDR, opportunity, pipeline, bookings, and revenue data into reporting and analytical products.
• Define identity resolution, canonical data models, identity-stitching rules, data lineage, quality thresholds, reconciliation, observability, and governed data products.
• Partner with Marketing, Sales, Finance, Data, Data Science, Engineering, Architecture, Technology, Privacy, and other stakeholders to drive adoption, governance, accountability, and executive communication.
• Balance measurement objectives with privacy, consent, security, platform constraints, data latency, and maintainability.
• Identify responsible uses of generative and agentic AI for analysis, anomaly detection, performance explanation, investment recommendations, and decision support while establishing human oversight and controls.

Requirements

• 8+ years of Product Management experience, preferably with enterprise data, analytics, Marketing Technology, or 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 product visions 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.

Nice to have

• 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.

Culture & Benefits

• Remote work arrangement within the United States.
• Flexibility, employee benefits, and a collaborative team environment.
• Potential performance-based bonus and restricted stock unit awards in addition to base pay.
• Work focused on measurable impact for workforce management and customer outcomes.