Technical Data Product Manager

At Forbes Advisor, our mission is to help readers make confident decisions about their money, health, and life. We do this by combining expert journalism with deep product insights and high-performance technology — all supported by a data-driven operating model.

We’re now scaling our internal data products to help drive better decisions across performance marketing, product monetization, and partner strategy — and we’re looking for a technically strong, technical and commercially-minded Product Manager to help lead that evolution.

The Role

We’re hiring a Technical Product Manager to own and scale our internal Revenue Attribution Pipeline — the core data product that determines how revenue is ingested, modeled, and used across the business.

This pipeline is essential to how we understand marketing ROI, partner economics, and long-term monetization strategies. You’ll sit at the intersection of data engineering, operations, and business stakeholders — translating requirements into clear specs, driving adoption, and shaping the vision for what comes next.

This is a remote-first, UK-based role with wide influence across the data and growth organization. You’ll be embedded within the Data Strategy function and collaborate with teams across Engineering, RevOps, Paid Media, and GM leadership.

Key Responsibilities

Own the Product Vision

• Define and evolve the strategy for our revenue attribution pipeline, balancing current needs with future scalability.
• Maintain a clear roadmap of enhancements, technical upgrades, and new use cases aligned with business goals.
• Drive clarity around what good attribution looks like — and where it can power better decision-making.

Translate Business into Technical

• Collect and synthesize requirements from RevOps, Paid Media, and GM teams into actionable product specs.
• Write clear logic, schema documentation, and join requirements for data engineers to implement.
• Own the accuracy, usability, and interpretability of attribution outputs across stakeholders.

Program & Stakeholder Management

• Coordinate delivery across Engineering, Data Ops, and RevOps in a matrixed environment.
• Track implementation progress, flag blockers, and ensure delivery aligns with sprint timelines.
• Communicate proactively with business stakeholders about what’s changing, why, and what they’ll get.

Advocate for Adoption

• Work with business users to embed attribution into decision workflows — from bidding strategies to partner payouts.
• Provide context, documentation, and structured demos to increase usage and trust.
• Identify where adoption gaps exist and iterate to close them.

Shape the Future of Attribution

• Partner with leadership to define next-gen use cases — from cross-channel attribution to modelled revenue to audience insights.
• Contribute to long-term visioning around how attribution evolves in a privacy-constrained, ML-augmented world.
• Explore how new data, platforms, or frameworks could expand our impact.

What You’ll Bring

Must-Have Experience

• Experience working on attribution, revenue modelling, or marketing performance data products.
• Strong fluency in SQL, data modelling, and business logic — you can write detailed specs for engineers – but practical implementation not required.
• Excellent communication skills and stakeholder management instincts.
• Experience operating in matrixed or cross-functional environments.
• Ability to balance short-term delivery with long-term product thinking.

Nice to Have

• Experience with GCP (BigQuery, Cloud Composer, Cloud Functions in particular).
• Familiarity with marketing data, paid media (Google Ads, Meta), and RevOps workflows.
• Exposure to ML use cases (e.g. modelled revenue, LTV and attribution).
• Comfort building diagrams, brief documents, and supporting light QA or UAT when needed.

Why Join Us?

• Work on one of the most business-critical data products in the company.
• Collaborate with top-tier talent across data, marketing, and product.
• Remote-first culture with flexibility and trust.
• Influence both what we build and how we work — shaping attribution for the future.
• Be part of a mission-driven team that blends journalism, technology, and strategy.

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