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Product Manager; AI & Automation Systems) Mountain View, CA View

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Formulate Robotics
Full Time position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Product Manager (AI & Automation Systems) Mountain View, CA View Role

Product

Mountain View, CA

Full-time

Our Vision

We're building the applied AI platform for autonomous industrial batching, combining prompt-to-production automation with a recursive learning system that improves through every formulation and batch, helping usher in a new era of programmable, abundant manufacturing.

About the Role

As Product Manager (AI & Automation Systems), you'll define and drive the roadmap for the intelligence layer of our Gen 3 manufacturing platform. You will own the product strategy behind closed-loop optimization, reinforcement learning systems, formulation intelligence, and process automation.

This role sits at the intersection of AI, robotics, and real-world manufacturing. You won't be training models yourself - but you will define what problems we solve with AI, how success is measured, and how intelligence integrates into physical production systems.

You will work closely with AI/ML engineers, controls engineers, software teams, and leadership to turn vision into shipped, measurable systems. This is a high-agency role for someone who thrives in ambiguity and wants to shape the future of adaptive manufacturing.

This is a full-time role based in California, with in-person collaboration expected in our Mountain View office (generally four days per week onsite).

What You'll Do
  • Define the product roadmap for AI-driven process optimization and automation systems.
  • Translate high-level company vision into clear product requirements and measurable objectives.
  • Work with ML engineers to scope reinforcement learning, optimization, and predictive modeling initiatives.
  • Define success metrics for process performance, yield improvement, and system learning loops.
  • Partner with controls and embedded teams to ensure AI systems integrate cleanly into physical hardware.
  • Prioritize features and experiments based on impact, feasibility, and learning velocity.
  • Design feedback mechanisms that convert production data into product improvements.
  • Collaborate with Customer Success and Sales to understand market needs and translate them into roadmap priorities.
  • Communicate progress and tradeoffs clearly across engineering and leadership teams.
What We're Looking For
  • 3+ years of product management experience in technical or platform environments.
  • Strong understanding of AI/ML concepts, optimization systems, or automation technologies.
  • Comfortable working with engineers across ML, controls, and software domains.
  • Ability to define metrics and evaluate experimental outcomes rigorously.
  • Strong systems thinking - you understand how software intelligence interacts with hardware constraints.
  • High agency and comfort making decisions with incomplete information.
  • Excellent communication skills - you can translate complex technical concepts into clear priorities.
  • Actively leverages modern AI tools to accelerate research, documentation, and product iteration.
  • Nice-to-haves: manufacturing systems, industrial automation, reinforcement learning exposure, technical degree.
What We Offer
  • Competitive compensation with equity.
  • Ownership over the intelligence roadmap of a next-generation manufacturing platform.
  • Opportunity to define how AI integrates into real-world physical systems.
  • High-autonomy environment with direct impact on company direction.
  • A fast-moving, builder-oriented team focused on ambitious execution.
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