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Vision AI Platform Product Management Leader

DeepHow

United StatesJobSeen 1mo agoStill listed today

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At a glance

Compensation
No compensation found
Location
United States
Work Authorization
Not specified

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Job overview

DeepHow seeks a product leader to turn its Vision AI products into a deployable platform for developers, system integrators and customers, driving self‑serve adoption, pricing strategy and partner ecosystems in the manufacturing and industrial space.

Skills & qualifications

RequiredNice to have

Skills

Product Management, nice to haveComputer Vision, nice to haveTechnical Communication, nice to haveData Science, nice to haveDeveloper Platform Pricing, requiredManufacturing, nice to havePricing Strategy, requiredPartner Ecosystem Management, requiredAI Collaboration, requiredClear Communication, required

Qualifications

10+ Years Product Management Experience, required5+ Years Senior Platform Product Management Experience, required

Full job description

Job Title: Vision AI Platform Product Management Leader Location: Remote (US-based) Reports To: CTO

About DeepHow DeepHow is a Physical AI platform for industrial manufacturing, pharmaceuticals, and utilities that helps organizations capture expert know-how, turn it into dynamic work instructions, and drive verified execution on the front line. The platform spans knowledge capture and sharing, AI-powered verification through Smart Compare and photo/video validation, and time and motion intelligence through guided workflows, SOP adherence, and real-time execution visibility. DeepHow supports customers from knowledge capture to verified execution, with strategic account expansion often centered on verification, AI-guided workflows, and time and motion intelligence.

The role We need a product leader to turn our vision AI products, Factory Flow Intelligence (FFI) and Live SOP Verification (LSV), into a platform that developers, system integrators and customers can deploy and build on themselves.

What this role requires ( Please apply only if you have the first two.)

  • Developer or data science platform pricing (required). You have built and priced a developer platform or data science platform. You know how these platforms work in practice, including consumption-based pricing.
  • Computer vision (required). You have a strong understanding of computer vision technologies and can go deep with our AI team and technical buyers.
  • Manufacturing (big advantage). You have worked in or sold into the manufacturing domain, such as industrial operations, automation, or operational technology.

What you will do

  • Own the product strategy and roadmap for FFI and LSP, from vision to release.
  • Move the platform from high-touch delivery to a self-serve model that customers and partners can run on their own.
  • Set the pricing and packaging model (consumption, per camera, per site, or a mix) and make it stick.
  • Build and manage partnerships with system integrators as the delivery layer for larger customers.
  • Bring market and customer feedback into the roadmap and share it with engineering, sales, and leadership.
  • Work closely with our AI and engineering leaders to turn complex technology into clear products, docs, and onboarding.
  • Support sales on key deals, customer briefings, and partner conversations.
  • Define success metrics for adoption, margin, and partner-led revenue, and report on them.

What you bring

  • 10+ years in product management, with at least 5 in senior platform or developer-platform roles.
  • A track record of taking a platform from custom, hands-on deployments to self-serve at scale.
  • Hands-on experience setting pricing and commercial models for a platform or API business.
  • Experience building partner or system integrator ecosystems.
  • Strong enough technical grounding to work as a peer with AI and engineering leaders.
  • Clear, direct communication with executives, customers, and partners.
  • Comfort with ambiguity and pace in a growth-stage company.

Nice to have

  • Background in manufacturing, industrial tech, or regulated industries such as pharma.
  • Experience with computer vision, edge AI, or IoT platforms.
  • Experience working with large system integrators
  • Experience working with global teams

Talent Acquisition process: Our typical process includes:

  • Phone screen
  • First video interview with the HR
  • Second video call with hiring manager
  • Third call with the team (maybe 1 to 2 TM’s)
  • Final interview

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