Overview
Product Lead, Predictive Maintenance Jobs in United States at Blynk
Title: Product Lead, Predictive Maintenance
Company: Blynk
Location: United States
Product Director, Predictive Maintenance
Location: Remote (US / EU)
Reports to: Head of Product / Co-CEO
ABOUT THE ROLE
We're building a predictive maintenance offering on top of an established IoT platform that already has thousands of connected industrial and commercial assets streaming data. Unlike most PdM products on the market, ours doesn't start with "rip out your sensors and install ours" — it starts with data that's already flowing. That changes the product, the economics, and the customer conversation.
We're working with early customers across thermal and air-handling assets, and we have meaningful tailwinds on the partnership side that will expand the offering's reach over the next year.
We're hiring a product lead to own this offering end-to-end: shape the product, work directly with early customers, define the packaging and pricing, and build the team underneath as we scale.
WHAT YOU'LL OWN
– The PdM product surface — what we ship, what we don't, and how it integrates with the rest of the platform
– Early customer relationships, including success criteria, ROI framing, and the path to commercial conversion
– The customer-facing narrative: positioning, pricing model, and the case studies that emerge from early deployments
– Roadmap and prioritization in close partnership with our data science team
– Hiring the small product team that will scale this offering through next year
WHO YOU ARE
You've shipped a predictive maintenance, condition monitoring, or reliability product before. Not adjacent — the actual thing. You can sit across from a reliability engineer or facilities lead and have a credible conversation about failure modes, sensor placement, and why a 92% accurate model with the wrong false-positive profile is a worse product than an 85% accurate model with the right one.
You've worked closely with data scientists on ML-driven products and have strong instincts for where model accuracy translates to user trust and where it doesn't. You've felt the trust erosion that follows a wave of false-positive alerts, and you have opinions about how to prevent it.
You've run projects in real plants or buildings. You've written ROI cases for skeptical buyers. You know how to translate "our data scientist thinks this is interesting" into "here's why the maintenance manager should care on Monday morning."
You think in platforms, not products. You understand why "predictive layer on top of existing data" is a fundamentally different sale than "buy our hardware and our software together," and you know how to build for the former without recreating the limitations of the latter.
WHAT WE'D LOVE (BUT WON'T INSIST ON)
– Background in thermal, HVAC, boiler, water, or air-handling assets
– Time spent on a connected-operations or device-management platform that successfully layered analytics on top of a connectivity base
WHAT WE'RE NOT LOOKING FOR
– Pure B2B SaaS PMs with no industrial or commercial-asset exposure — site-level reality changes the product in ways that are hard to learn on the job
– "AI/ML product managers" without domain depth
– Hardware-first thinkers who believe the sensor is the product
HOW WE'LL EVALUATE
– Conversations with our leadership and data science team
– A working session on a real PdM problem we're navigating now
– Reference calls with engineers and customers you've worked with — we care more about how you ship than how you interview
WHY THIS ROLE IS UNUSUAL
Most PdM product roles either sit inside a hardware company that constrains the offering, or inside a pure-play startup that's still figuring out its category. This role sits on top of a platform with real distribution and a partnership track that will meaningfully widen the addressable market in the next year. The opportunity to build a category-defining PdM offering with the wind at your back doesn't come up often.
