Director of Product, AI
San Mateo, CAJobPosted 1 day agoStill listed today
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At a glance
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Job overview
Archetype AI is developing a physical AI platform that uses sensor data to understand the physical world and generate real-time insights. The Director of Product, AI will establish ownership of the company’s AI capabilities, working with technical leaders and teams to shape the roadmap, prioritize investments, translate research into product capabilities, and prepare products for customer adoption and commercialization.
Skills & qualifications
Skills
Qualifications
Full job description
About Us At Archetype AI, we’re building the world’s first physical AI platform to bring artificial intelligence into the real world. Our foundation model, Newton, understands the physical world through objective sensor data and generates real-time insights into complex physical behaviors, from industrial machinery and systems to wearable devices and smart environments.
Formed by a high-caliber team from Google and backed by one of Silicon Valley’s most renowned venture funds, Archetype AI is at Series A and rapidly advancing its technology for the next big leap. This is a unique opportunity to join an exciting, fast-growing AI team based in the heart of Silicon Valley. About the Role The Director of Product, AI will establish product ownership for Archetype's AI capabilities, working closely with the CTO, Chief Scientist, and engineering teams to define the roadmap, prioritize investments, translate emerging research into product capabilities, and drive readiness for customer adoption and commercialization. What You’ll Own
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Define and drive a coherent AI product roadmap aligned with company strategy and customer needs.
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Translate AI research and model capabilities into differentiated, commercially relevant product capabilities.
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Establish clear priorities and requirements for model development, adaptation, and evaluation.
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Work with the eval lead to define model and agent evaluation frameworks and measurable criteria for product readiness.
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Drive cross-functional alignment across Research, Engineering, and Product to deliver roadmap outcomes.
Key Qualifications
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5+ years of experience in product, AI startup founding, or technical consulting roles.
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Strong technical understanding of AI/ML, including model architectures and applied machine learning.
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Demonstrated ability to translate complex technical capabilities or research into product opportunities.
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Experience working closely with AI/ML researchers and engineering teams to deliver technical products.
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Strong product judgment and ability to identify customer problems, prioritize investments, and drive outcomes.
Nice to Have
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PhD in AI/ML, Computer Science, Robotics, or a related technical discipline.
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Experience in Physical AI, industrial AI, robotics, computer vision, or time-series ML.
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Experience as a founder or early employee at an AI/ML startup.
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Experience with foundation models, multimodal AI, model evaluation, or fine-tuning.
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Experience in AI consulting or enterprise AI implementation (e.g., QuantumBlack, BCG X, Palantir).
How this job compares
Set against the 10,636 open Product Management jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This postingNot listed
- California median$178–266K/yr1,443 salary ranges
- California median$38–61/hr29 hourly ranges
- Openings
- Olive Jobs lists 1,681 open Product Management jobs in California and 10,636 across the US. 9% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Google125 open
- Intuit58 open
- Palo Alto Networks52 open
- Experience
- This posting asks for at least 5 years of experience; Product Management postings that state a minimum ask for 7 years at the median (9,016 postings).
- Education
- 3,223 of the 10,636 open Product Management jobs (30%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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