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Product Manager - Data Platform

Job in Boulder, Boulder County, Colorado, 80301, USA
Listing for: LineVision
Full Time position
Listed on 2026-02-20
Job specializations:
  • IT/Tech
    Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Description

Hybrid (2-4 days/week onsite). Boston, MA Headquarters or Boulder, CO Hub Office

Build the data infrastructure that powers grid intelligence for the largest utilities —working directly with exceptional engineering teams to architect solutions that matter.

We are seeking a Product Manager - Data Platform to own our data platform evolution as we scale transmission optimization solutions for Fortune 500 utilities. You'll drive the conversion from cloud to secure on-premise deployment, collaborating hands-on with Data Engineering, Platform Engineering, and Dev Ops teams to solve complex technical challenges. If you love building products alongside engineers and want high-impact ownership in a mission-critical infrastructure space, join us at Line Vision, Built In Boston Best Places to Work!

What

will you do?
Core Responsibilities and Key Performance Objectives
  • Own the product roadmap for Line Vision's data platform, balancing cloud and on-premise deployment strategies to meet diverse utility customer requirements
  • Drive product development decisions for data architecture, collaborating with Data Engineering, Platform Engineering, Dev Ops, SRE, and QA teams to deliver secure, scalable solutions
  • Define and track success metrics for the data platform through data-driven research and customer insights
  • Navigate utility customer security review processes, translating complex operational needs and IT constraints into technical requirements and user stories
  • Lead security and compliance considerations throughout the product lifecycle, ensuring platform architecture meets utility requirements for on-premise deployment and CEII handling protocols
Within the first 3 months:
  • Complete discovery with utility customers to document on-premise deployment requirements, IT constraints, security protocols, and compliance needs
  • Partner with Data Engineering and Platform Engineering teams to finalize technical architecture and requirements for containerized on-premise deployment
  • Establish success metrics and reporting framework for data platform initiatives, providing regular updates to VP of Product and engineering leadership
Within the first 6 months:
  • Deliver containerized deployment architecture supporting both cloud and on-premise models with feature parity roadmap
  • Launch beta on-premise deployment at initial customer site, coordinating cross-functionally on implementation
  • Complete security review processes with at least two utility customers, establishing repeatable patterns for procurement and compliance conversations
Within the first year:
  • Achieve production on-premise deployments meeting customer deadlines and commitments
  • Drive data pipeline efficiency improvements supporting future product capabilities and scale requirements
  • Build trusted relationships with customer IT and operations teams, establishing Line Vision as a strategic partner in their grid modernization initiatives
How to succeed in this role Key Competencies
  • Critical Thinking - Analyze data infrastructure problems independently and propose solutions. Demonstrate curiosity in exploring new approaches.
  • Stakeholder Management - Navigate complex utility customer environments, managing relationships with IT teams, operations stakeholders, and procurement organizations. Provide clear, concise updates appropriate for diverse audiences.
  • Judgment & Decision Making - Make informed product decisions balancing technical trade-offs, customer requirements, security constraints, and business priorities. Understand how architecture choices cascade through deployment models, customer operations, and long-term platform capabilities.
  • Follow Through - Execution - Deliver quality products on time despite competing priorities and technical complexity. Hold self and teams accountable to milestones.
Essential Skills
  • 3-5 years of product management experience with accountability for driving engineering progress on small to mid-sized products
  • Strong understanding of data pipeline architecture, ETL processes, and data modeling with experience working with large volumes of real-time time-series data in production environments
  • Deep knowledge of cloud and on-premise deployment models,…
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