Vision AI Platform Product Management Leader

DeepHow; United States; Remote; USD 160.000 - 210.000; Vollzeit

Zusammenfassung

DeepHow is seeking a Vision AI Platform Product Management Leader to drive the strategy and roadmap for FFI and LSV, enabling a self-serve platform for developers, system integrators, and customers.

You will own pricing and packaging, build an SI ecosystem, and translate complex AI/vision tech into clear products, docs, and onboarding, partnering with AI and engineering leaders to scale adoption.

Qualifikationen

• 10+ years in product management, incl. 5+ years in senior platform/developer roles.
• Experience pricing developer/platform/API products.
• Experience building partner ecosystems and SI partnerships.

Aufgaben

• Own the product strategy and roadmap for FFI and LSP from vision to release.
• Shift platform delivery from high-touch to self-serve for customers and partners.

Kenntnisse

Platform pricing (dev/data science)

Computer vision

Manufacturing domain knowledge

Jobbeschreibung

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