Technical Product Manager

twentysix; Philadelphia (Philadelphia County); On-site; USD 120,000 - 180,000; Full time

Job summary

twentysix seeks a hands-on Product Owner to lead end-to-end product management for BigQuery Connectors, Looker dashboards, and AI Agents. You will define specs, monitor health, and drive productization while coordinating with engineering, data teams, and stakeholders.

You will own sprint planning, backlog prioritization, and capacity modeling, balancing new development with maintenance and client work across multiple product lines. You’ll mentor PMs and promote data-driven decision making.

Qualifications

• Hands-on product management experience, including writing specs, testing features, and maintaining documentation.

Responsibilities

• Own end-to-end product management for data products and dashboards from requirements through QA, documentation, and health monitoring.

Skills

Product management

Requirements writing

QA

Documentation

Stakeholder communication

Agile sprint planning

Data-intensive products

APIs & architecture

Mentoring

AI tools

Tools

BigQuery

Looker

AI Agents

Job description

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