Hardware Product Manager: Wearable Neurotech & OTA Systems

Protocol Labs, Inc.

Greater London

Hybrid

GBP 85,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Equity in an early-stage company
Central London lab on-site
Direct ownership of product line
Collaborative neuroscience/engineering

Job summary

Netholabs is building integrated human motion-capture and neurophysiological recording systems. We seek a hardware product leader to own the London lab's R&D delivery and hardware program, co-developing with electronics and mechanical engineers, and scaling with contract manufacturers.

You will define requirements, enforce best-practice data capture, and push back when manufacturing constraints clash with research needs.

Qualifications

  • Min 3+ years in hardware product management, with several prototypes shipped to volume manufacturing.
  • Experience with contract manufacturers, RFQs, NPI builds, and production-line problem solving from remote locations.
  • Understanding of OTA updates, telemetry, fleet management and provisioning for devices.

Responsibilities

  • Take prototypes to field-deployable systems; define product and roadmap; drive delivery.
  • Specify and build over-the-air update infrastructure: firmware, versioning, rollback, fleet management, remote diagnostics.
  • Own design-for-manufacture transition; BOM ownership; tolerancing; test fixtures; production test protocols.
  • Identify and manage contract manufacturers and suppliers; RFQ to sustained production.
  • Establish data capture protocols across modalities to ensure data quality and consistency.

Skills

Product management
Hardware
Vendor management
Technical leadership

Job description

Netholabs is building integrated human motion-capture and neurophysiological recording systems. We seek a hardware product leader to own the London lab's R&D delivery and hardware program, co-developing with electronics and mechanical engineers, and scaling with contract manufacturers.

You will define requirements, enforce best-practice data capture, and push back when manufacturing constraints clash with research needs.

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