Product Manager
Product Manager owning a platform for agentic tooling that powers Physical AI across verticals. Requires 2+ years PM experience at top tech or high-growth startup, strong technical background, and domain knowledge in autonomy, robotics, simulation, CV, or ML.
About the job
Responsibilities
- Develop a clear point of view on what to build, grounded in the market, customer use cases, pain points, and business goals — both at the platform level and within your specific vertical(s).
- Decide which platform capabilities should be vertical-specific versus vertical-agnostic, and drive that prioritization with engineering.
- Partner closely with product, engineering, and design to shape the product vision, work through tradeoffs, and prioritize what gets built.
- Partner actively with TPMs and eng managers to own the complete product lifecycle, from launch through ongoing releases for your specific areas.
- Present product capabilities to customers regularly, gather feedback, spot areas for growth, and help scale the tools org.
- Sharpen product positioning and create marketing briefs, blog posts, and other content that helps tell Applied's story.
- Work with sales and customer leads to shape go-to-market strategy, pricing, and customer engagement.
Requirements
- 2+ years of Product Management experience at a top tech company or high-growth startup.
- Ability to build trust and relationships across a large engineering org, and quickly get up to speed on complex, multi-dimensional topics.
- Insatiable curiosity about what's next, paired with an ambitious drive to execute and win.
- Strong technical background, with real understanding and / or hands-on experience in software development.
- Prior experience in Physical AI — autonomy, robotics, simulation, computer vision, or ML — is a strong differentiator.
- MS/BS in Computer Science, Electrical Engineering, or equivalent experience.
- Proven ability to manage all aspects of a product throughout its lifecycle.
- Excellent written and verbal communication skills.
Nice-to-Haves
- Prior experience in agentic AI — assistants, agents, eval frameworks, model training and evaluation.
- MBA from a top program.
- A sharp instinct for recognizing product-market fit.
- Exposure to hypergrowth at a startup from Series A to IPO.
Skills
Product Management, Physical Ai, Autonomy, Robotics, Simulation, Computer Vision, Machine Learning, Agentic AI, Software Development
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