Staff Product Manager (Attribution)

Accountabilities:

• Own the vision and roadmap for the Attribution product stack, including click-through and view-through attribution, vertical- and channel-specific models such as CTV and ABM, and customer-facing reporting and measurement capabilities.
• Work directly with large and complex clients to understand their attribution requirements, how they evaluate marketing performance, and how they determine which advertising interactions should receive credit for conversions.
• Build alignment across teams contributing to attribution and measurement, including Data & Analytics, Data Science, Revenue, Product Marketing, and other stakeholders, while supporting internal and external enablement around existing and emerging attribution methodologies.
• Develop clear and comprehensive product specifications that capture user needs and provide engineering, design, and QA teams with actionable direction on feature behavior, requirements, and success criteria.
• Lead product initiatives from ambiguous problems through delivery, making informed decisions, managing dependencies, and ensuring high-quality outcomes that increase customer engagement with the platform.
• Translate complex technical challenges, including data pipelines, identity resolution, and event-level attribution at scale, into clear product decisions and practical solutions.
• Use data to develop hypotheses, design and ship experiments, evaluate results, and continuously refine product direction based on measurable evidence.
• Apply strong user-centered product judgment to ensure attribution features are intuitive, useful, and aligned with how customers understand and act on marketing performance data.
• Incorporate AI and LLM-enabled workflows into product development and day-to-day work where they can accelerate productivity, while recognizing situations where deterministic approaches are more appropriate for customers and product functionality.

Requirements:

• Bring strong experience in product management with demonstrated end-to-end ownership of product vision and roadmaps, particularly in advertising technology, marketing measurement, analytics, or related data-intensive environments.
• Possess a deep understanding of advertising attribution and measurement methodologies beyond individual advertising platform reporting, including multi-touch attribution (MTA), marketing mix modeling (MMM), incremental lift studies, geo experiments, CTV attribution, ABM attribution, retail media measurement, and web analytics attribution.
• Demonstrate the ability to shape product direction from ambiguous problems, align diverse stakeholders, and consistently drive initiatives through delivery toward measurable outcomes.
• Have strong technical fluency and the ability to understand complex data systems, identity resolution, event-level attribution, data pipelines, and large-scale measurement challenges without requiring an engineering role.
• Be able to explain sophisticated attribution and measurement concepts clearly to both technical and non-technical audiences.
• Bring a strong bias toward action grounded in data, with experience forming hypotheses, running experiments, interpreting results, and iterating product decisions accordingly.
• Demonstrate strong product and design judgment, with the ability to evaluate features from the user’s perspective and create experiences that balance sophistication with usability.
• Have practical experience incorporating LLMs and AI tools into day-to-day workflows and understand where AI can create value for customers versus situations that require deterministic methods.
• Demonstrate strong communication, stakeholder management, prioritization, and cross-functional collaboration skills, with the ability to influence teams and operate effectively in an environment with significant ambiguity.

Benefits:

• U.S. base salary range of $168,000–$231,000 USD, with final compensation determined by factors including experience, expertise, location, technical skills, knowledge, abilities, education, certifications, organizational needs, and budget alignment.
• Additional compensation may include annual bonuses, commissions, equity awards, and a comprehensive benefits package, depending on the role.
• Retirement, 401(k), or pension savings programs, depending on location.
• Competitive paid time off, including birthday time off.
• Access to a comprehensive mental health care program.
• Health benefits from day one of employment.
• Work-from-home reimbursement to support a productive remote setup.
• Optional global WeWork membership for employees who want an alternative workspace.
• Robust training and onboarding programs, with support for professional development through conferences, courses, books, and other learning opportunities.
• Access to programmatic courses and certifications supporting continuous learning and professional growth.
• An enhanced parental leave program and a welcoming, collaborative workplace culture.
• Opportunities to participate in social and team events.
• Remote-first flexibility for candidates based in the United States, with benefits and perks varying according to country of employment and engagement type.