Product Director, Physical AI Platform

Job Title: Product Director, Physical AI Platform
Location: Remote (US-based)
Reports To: Chief Technology Officer

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.

Role Description
We're looking for a Product Director, Physical AI Platform to lead the build-out of our
next-generation Physical AI platform. In this role, you will be the architectural and strategic force
behind our platform’s "full layer cake"—from the technical substrate to business outcomes. You
will not merely ship capability; you will exercise upstream judgment to determine which
problems are actually worth solving, ensuring our platform is understandable, scalable, and
delivers durable value to manufacturing enterprises. You’ve worked with AI pipelines and you
understand APIs, security, governance, service oriented architecture, ontologies, and scalability
at an enterprise level.

This is a senior, high-ownership role. You'll lead platform product strategy across DeepHow's
core product lines — Knowledge Capture & Transfer, Operational Output Verification, Live SOP
Verification, and Time and Motion AI — working closely with engineering, design, partners, and
our manufacturing customers to set direction and ship products that matter on the factory floor.

What You'll Own
Define the Platform Strategy & Roadmap: Act as a product leader who builds and leads
platforms that "compress the path from first access to first value". You will own the vision for our
Physical AI ecosystem, standardizing where necessary and federating where appropriate to
maintain agility. You will define and drive the platform roadmap. Prioritize ruthlessly against
customer outcomes, not just feature velocity.

Build Technical Foundations: Develop a deep understanding of the platform's technical
underpinnings, including AI architecture, data pipelines, and commercially available solutions
such as the Nvidia Cosmos stack. You will guide engineering teams on "how things work,"
ensuring we build robust predictive models (e.g., time series forecasting for manufacturing
optimization) that are reliable at enterprise scale.

Customer Discovery: In the "End User Era," you will prioritize the needs of internal teams,
partners, developer community, and end-users who champion our software. You will know the
difference between what customers ask for and what will actually move the needle. You will
invert the traditional enterprise sales model by designing a platform where the product itself
does the selling. You will identify specific "annoyances"—not just high-level business goals—to
solve for builders on our platform, turning their daily frustrations into opportunities for innovation.

Cross-functional & Iterative Execution You will partner closely with engineering and design to
ship high-quality products. You will write crisp specs and run tight discovery-to-delivery cycles.
Balance long-term platform thinking with near-term customer commitments. You will implement
a routine of monthly key performance indicators (KPIs) and "in-market" experiments. You will pilot new ideas quickly, leveraging data to decide whether to formalize them or pivot, ensuring
we do not invest heavily in unproven hypotheses.

Go-to-Market Partnership Support Sales and Customer Success as the domain expert — in
enterprise deals, customer QBRs, and product marketing conversations. You can talk to
customers’ CIOs, IT, and AI Teams on the same day and land differently with each.

AI Product Judgment DeepHow's products are AI-native — from step detection in live video to
automated activity classification to computer vision-based output verification. You bring clear
thinking on what AI solutions can and can't do reliably in a manufacturing context, and you set
appropriate accuracy, latency, and confidence thresholds that customers can actually trust.

What You Bring

• An Expert Operator: You bring experience in leading vision, strategy, and execution for

enterprise-grade platforms. You have a proven track record of scaling B2B/C platforms
across complex industries (e.g., industrial, supply chain, or TMT). You are comfortable
operating in environments where AI is infiltrating workflows and changing how
organizations function.

• Technically Fluent: Solid understanding of the ML development lifecycle (data prep,

training, deployment, monitoring) and MLOps concepts, with prior experience owning a
developer-facing or technical product — enough technical depth to earn credibility with
ML engineers and data scientists without needing to code. You possess deep
knowledge of machine learning paradigms, LLMs and VLMs; and can speak the
language of engineers. You understand the trade-offs between technical debt and
high-impact feature delivery.

• A Systems Thinker: You understand that the hardest platform problems are often

organizational, not just technical. You know how to bring engineering organizations along
and how to build platforms that stay "legible at scale".

• Committed to Excellence: You understand that platform product management is not

just about building a product; it’s about aligning with customer needs, making solutions
“builder-friendly”, and managing developer ecosystems.

• 7+ years of product management experience, at least 3 years with Platform Product

Management, and meaningful time spent in industrial software development,
data-pipelines, and AI platforms.

• Outcome