Senior Product Manager - Platform

Role overview

Own the direction and delivery of a technical B2B platform used to build and operate industrial applications across edge and cloud environments. The work spans long-term product strategy and detailed daily execution: learning customer needs, turning recurring problems into reusable capabilities, prioritizing the backlog, and writing engineering-ready work items.

Responsibilities - Set a multi-year platform direction and translate it into sequenced, deliverable work; assess what to build, integrate, or source through partners. - Work with customer-facing teams to identify recurring deployment needs and decide which belong in the core platform, reusable solution libraries, or individual customer work. - Lead ongoing customer discovery, including direct conversations and review of sales and customer feedback. - Guide industrial data modeling and contextualization so information and relationships across machines, processes, and outcomes can support workflows and AI capabilities. - Shape reusable AI and machine-learning capabilities, judging their production readiness and practical value. - Improve enterprise operation of distributed applications across sites, equipment, and cloud or self-hosted environments. - Triage and prioritize the backlog, write precise issues with testable acceptance criteria, and lead refinement with engineers. - Validate outcomes after release and make scope and sequencing decisions jointly with engineering.

Requirements - Evidence of shipping adopted product capabilities, owning a backlog, and writing clear technical specifications and tickets. - Experience with B2B platforms, infrastructure, developer tools, or similarly technical products, including identifying reusable needs within customer-specific work. - Ability to work closely with engineers and make sound product decisions within technical constraints. - Strategic product judgment: assess market and competitor direction and use it to inform roadmap choices. - Comfort operating in an ambiguous startup environment, taking initiative, and moving work forward independently. - Fluency with AI tools and an ability to distinguish production-ready AI/ML capabilities from early demonstrations.

Nice to have - Experience in manufacturing, industrial automation, or industrial IoT; familiarity with how operational technology and enterprise IT meet. - Experience taking AI, machine-learning, or LLM capabilities from concept to adoption, especially in industrial or edge settings. - Familiarity with Node-RED or open-source ecosystems. - People management experience is welcome, but not required.

Benefits and work setup - Remote-only, async-first role open to candidates in the United States or Europe, with flexible hours and some value placed on overlap with US West Coast time. - Competitive base compensation calibrated to level, equity, and unlimited paid time off.