Technical Product Manager - seerinteractive

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

Product Ownership

• 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

Sprint Planning & Engineering Coordination

• 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

Productization Execution

• Execute the productization of validated