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 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
Cross-Functional Coordination
- 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
Data Governance & Platform Administration
- 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
Team Management
- 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
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 have experience running agile sprint planning, owning backlogs, managing capacity, and hitting committed sprint goals
- You are able to balance competing priorities across multiple product lines without losing velocity or quality
- You are comfortable making decisions with incomplete information in a fast-moving environment
- You are a clear communicator who can translate technical realities into plain language for non-technical stakeholders
- You have experience managing or mentoring team members and care about building people up as much as building products
- You have experience using AI tools to accelerate research, analysis, or product work and are always looking for leverage
Bonus points if:
- You have familiarity with BigQuery, Looker, or similar data platforms as a product owner
- You have shipped AI agent products or agentic workflows in a production environment
- You have experience defining production-ready standards or productization playbooks from scratch
- You have an agency or consulting background where client needs and product roadmap work had to coexist
This might not be the role for you if...
- You prefer to set strategy and hand off execution, as this role requires you to do the work alongside managing others
- You're looking for full creative latitude on greenfield products, as this role is about productizing validated innovations and maintaining a portfolio in motion
- You need detailed requirements handed to you before you can act, as a lot of this role involves defining what "done" looks like for things that don't have a clear spec yet
- Managing multiple product lines with different stakeholders, cadences, and quality bars at the same time sounds exhausting rather than energizing
- Data infrastructure isn't something you find genuinely interesting, as you'll be deep in pipelines, connectors, and platform health every week
30/60/90
First 30 Days - Learn
- Get fully oriented in Seer's data product portfolio: the current state of BigQuery Connectors, Looker dashboards, and AI Agents, and what's in the pipeline
- Shadow sprint ceremonies and meet with division leads, R&D, and data engineers to understand cross-functional dependencies
- Identify one backlog item you can personally own and deliver to calibrate on the sprint process
60 Days - Build
- Own sprint planning end-to-end with a completion rate teams can rely on
- Produce your first product spec or requirements document from scratch and get it to engineering-ready
- Take over cross-functional communication so stakeholders have a reliable point of contact for data product timelines
90 Days - Lead
- Running the sprint cycle independently with clear capacity plans, prioritized backlogs, and predictable delivery
- Executing at least one R&D-to-production handoff with a maintenance plan in place
- Contributing to the roadmap conversation with a clear point of view on what to productize, maintain, or sunset
Ready to apply? Ditch the cover letter — we don’t need it. We’d rather see your AI chops. Use our Marketing Career AI Self-Assessment GPT to find out where you land on the AI marketing maturity curve and share your results with us. Our team is excited to read your application responses and will be using them to help determine who we’d like to meet with!
As a B-Corp Certified organization, we are committed to creating an inclusive environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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