Role Overview

• 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.

Qualifications

• 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 Plan

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.