Product Manager - Data Platform
Listed on 2026-03-01
-
IT/Tech
Data Engineer, Systems Engineer, Cloud Computing
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!
CoreResponsibilities 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
- 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
- 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
- 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
- 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.
- 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…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).