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Technical Product Manager
Seer InteractiveUKRemotefull_timeVerifiedPosted 6 Jul 2026
About the role
Seer Interactive is a digital marketing consultancy that harnesses compassion, data, technology, and AI to make a mark on our communities—our coworkers, our clients, our industry, and our neighbors. We relentlessly pursue (and share) the truth, bringing together millions of data points from quantitative and qualitative sources, enhanced by responsible, human-centered AI. Our purpose is to unlock potential across these communities, envisioning a world where doing the right thing is intuitive and informed.
At Seer, we see AI as a catalyst for innovation, collaboration, and creativity. Regardless of your division or discipline, leveraging AI is a core part of how we deliver smarter, faster, and more strategic outcomes for our clients. Our AI Council drives company-wide integration by focusing on education, purposeful implementation, and continuous learning — ensuring that AI is embedded in how we think, operate, and grow.
If you’re ready to uplift others, challenge your ego, commit to the truth, and be better than yesterday—keep reading.
Seer is a remote-first agency and a Certified B-Corp, with team members across the country. If an office environment is more your style, this position can also sit in our HQ office in Philadelphia. We can only consider candidates based in the US who can work continental US-based hours.
The Role:
You've spent your career at the intersection of data and delivery, translating messy pipelines into clean products and vague requirements into shipped features. At Seer's AI & Innovation division, we need exactly that. You'll own the data product portfolio: BigQuery Connectors, Looker dashboards, and AI Agents, taking full responsibility for the sprint cycle from backlog to release. This isn't a strategy-and-delegate role. You'll be writing specs, testing features, and unblocking engineers the same week you're running sprint planning and managing the PMs who report to you.
Role Highlights
- Own end-to-end product management for BigQuery Connectors, Looker dashboards, and AI Agents, from requirements through QA, documentation, and ongoing health monitoring
- Define product specs and acceptance criteria in partnership with division leaders and SMEs
- Monitor product health, usage metrics, and production incidents; address issues with urgency
- Make recommendations on what to productize, sunset, maintain, or optimize
- Own the sprint planning process end-to-end, in partnership with a Project Manager
- Oversee data engineer hours and priorities across sprint cycles
- Own backlog prioritization, capacity planning, and sprint completion accountability
- Balance competing priorities across new development, maintenance, and custom client work
- Execute the productization of validated R&D innovations in partnership with the Director of Engineering & Product
- Enable Engineering to transform prototypes into production-ready products
- Create maintenance plans and support models; partner with the Innovation team on handoff requirements
- Own cross-functional relationships with R&D, division leads, Marketing, and AI Strategy
- Serve as the primary point of contact for data product questions and timelines
- Translate technical constraints and capacity realities into clear stakeholder communication
- Manage data access and permissions across Looker and data platforms
- Own platform integrations, system administration, and compliance with data security and client confidentiality requirements
- Maintain monitoring dashboards for system health and usage
- Manage Product Managers and conduct performance reviews and career development conversations
- Build clear roles, responsibilities, and success criteria as the team scales
- Develop product management capability in direct reports
Product Ownership
Sprint Planning & Engineering Coordination
Productization Execution
Cross-Functional Coordination
Data Governance & Platform Administration
Team Management
You'll be a good fit if....
- You have hands-on product management experience, including writing specs, testing features, and maintaining documentation, not just overseeing others who do it
- You have worked with data-intensive products and are comfortable discussing pipelines, APIs, and architecture with engineers
- You ha
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