Product Manager, Industrial AI

1. Job Overview

Who we are.

Spot AI turns cameras into coworkers. We are building the category of AI coworkers for the physical world. Our platform helps businesses understand, automate, and act across their environments in real time. Spot AI is relied on at over 10,000 locations by more than 1,000 customers across manufacturing, construction, logistics, and retail. We are backed by over $110 million from investors including Scale, Redpoint, Qualcomm Ventures, StepStone, and Bessemer. We move fast, take ownership, and focus on outcomes. We are building a company for people who want to solve real problems and have a direct impact on how businesses operate.

Why Join Us.

We are looking for a builder to help scale our AI Agents for manufacturing. Manufacturing represents Spot AI's strongest growth driver. Our AI Ops Assistant and autonomous agents are actively deployed on production lines across major national manufacturers, driving continuous demand for expanded floor level capabilities. In this role, you will identify high impact customer challenges, develop reusable platform capabilities, and transform custom implementations into a scalable business model. Successful product managers at Spot AI act as hands on builders. They collaborate closely with engineering to resolve technical tradeoffs, conduct direct plant floor evaluations, and launch products that achieve sustained operational adoption.

Role purpose.

We are seeking a Product Manager to own execution for our manufacturing agents product line and convert this momentum into a scalable enterprise product. This domain involves complex, unstructured environments. You will partner with operational leaders who manage intricate workflows, navigate high stakes environments, and demand immediate, measurable value from technology. Prior domain expertise in manufacturing is not required. We prioritize candidates with a demonstrated track record of building B2B products from ground zero, who are AI native, and have helped scale a product customers are already pulling for.

2. Key Responsibilities

• Uncover High Value Opportunities: Engage directly with clients, account executives, sales engineers, channel partners, FDE, and field teams to map out workflows, operational friction, budget parameters, and key success metrics.
• Uncover High Value Opportunities: Identify top tier use cases by evaluating genuine strategic value and recommend appropriate priorities.
• Develop Scalable Platform Core Capabilities: Transform custom, single client solutions into standardized product features that seamlessly scale across multiple facilities and organizations.
• Develop Scalable Platform Core Capabilities: Recognize core components within each implementation to accelerate future deployments at scale.
• Collaborate Closely with Technical Teams: Partner directly with engineering teams on AI models, evaluation pipelines, system architecture, and iterative prototyping.
• Collaborate Closely with Technical Teams: Own technical prioritization for your product area, by deciding what features to develop, postpone, or reject.
• Partner on Go-to-Market Strategy & Execution: Establish an end to end framework spanning discovery, proof of concept testing, full production rollout, and commercial scaling.
• Partner on Go-to-Market Strategy & Execution: Align with sales, marketing, and customer success leadership on market positioning, pricing models, demonstrations, and ROI case studies to streamline commercial adoption.

3. Required Qualifications

• The source does not specify formal education degrees or certifications.

4. Required Skills

• Demonstrated track record of building B2B products from ground zero and delivering them to real-world users.
• AI native with a strong grasp of AI model behavior in practical deployments, including accuracy trade-offs, false positives, latency, and cost.
• Hands-on problem solving: actively prototypes, analyzes data, and works directly alongside engineering teams rather than relying solely on static spec sheets.
• Customer & commercial orientation: eager to collaborate closely with sales teams and customers to unearth key insights that drive product decisions.
• Strong interpersonal & technical credibility: ability to navigate conversations ranging from deep technical reviews with engineers to onsite customer meetings.
• Scalable product judgment: sharp instincts for separating unique, isolated customer requests from repeatable, platform-level features.
• Clear & impactful communication: ability to convert ambiguity into crisp product requirements, go to market strategies, and compelling business models.
• Entrepreneurial mindset: experience as a founder or early-stage startup builder who has shipped B2B products from concept to market adoption and revenue growth under resource constraints.
• High agency & speed: ability to move quickly and demonstrate what you built, scaled, and delivered over recent months.

5. Preferred Qualifications

• A background in computer vision, video AI, industrial automation, robotics, or forward deployed engineering is a strong plus.

6. Experience Requirements

• The source does not state a specific experience range.

7. Additional Job Information

• Employment type: Not specified in the source.
• Work mode: IN PERSON role at our office located at 650 5th St. (near Oracle Park) in San Francisco. There will also be occasional travel to customer sites.
• Notice period: Not specified in the source.
• Locations: San Francisco, CA; San Francisco County, CA; California, United States. Office address: 650 5th St., San Francisco.
• Visa & relocation: The employer is not able to offer relocation assistance or visa sponsorship for this opportunity.
• Compensation & benefits (as stated by the employer): Target Annual Base Salary Offer Range: $195,000 - $210,000 in the San Francisco Bay Area. The full annual base salary range for this position is $195,000 - $225,000. Meaningful early stage equity. Medical, dental, and vision plan options with little to no cost for employees and dependents. Company paid short and long term disability plans. Company paid life insurance. 401K with employer match.
• How to apply: Apply via the original job posting or the provided application link.