Senior Product Manager
Maze
Technical Data Product Manager
Forbes
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇬🇧 United Kingdom
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
BigQueryCloudGoogle Cloud PlatformSQL
About the role
- 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.
- 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.
- 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.
- 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.
- 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.
Requirements
- 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.
- Experience with GCP (BigQuery, Cloud Composer, Cloud Functions in particular) (Nice to Have).
- Familiarity with marketing data, paid media (Google Ads, Meta), and RevOps workflows (Nice to Have).
- Exposure to ML use cases (e.g. modelled revenue, LTV and attribution) (Nice to Have).
- Comfort building diagrams, brief documents, and supporting light QA or UAT when needed (Nice to Have).
Benefits
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata modellingbusiness logicattributionrevenue modellingmarketing performance data
Soft skills
communication skillsstakeholder managementcross-functional collaborationstrategic thinkingproblem-solving
