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Product Manager - Data Platform

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: LineVision
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Systems Engineer, Cloud Computing
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!

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, including containerization…
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