Who we are.

Spot AI turns cameras into coworkers.

We are building the category of AI coworkers for the physical world. Our platform enables businesses to 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.

Backed by over $110 million from investors including Scale, Redpoint, Qualcomm Ventures, StepStone, and Bessemer, we are building the system that brings AI out of the digital world and into the real one.

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.

Ready to learn more? Connect with us on LinkedIn | X | YouTube

Are you a like-minded builder?

If you wake up driven to build, see challenges as fuel, and refuse to settle for the status quo—you’ll fit right in.

At Spot AI, we’re not just building a company; we’re building a legacy that will outlast us. Every Spotan shares a relentless pursuit of excellence, and we’re looking for more teammates with the same high-performance DNA:

• Relentless Drive: You have something to prove. Extreme ambition fuels you, and obstacles only make you push harder. Building isn’t just what you do; it’s who you are.

• Builder’s Mentality: You don’t just want to scale what exists—you want to create what’s next. Maybe you’ve founded a company, been a first 20 employee, or led a venture for 2+ years—if so, we’re especially excited to meet you.

• High Hustle, High Humility: You bring intellect, emotional intelligence, and an unyielding work ethic. You’re low ego, high impact, and always pushing to be among the best at what you do.

If this sounds like you, let’s build something legendary together. 🚀

Our cultural pillars guide how we operate. We:

• Spend Strategically. We maximize resources and minimize waste.

• Push for Progress. We make decisions, move fast, and celebrate action.

• Obsess Over Customers: We remove friction and add value to create delight.

• Trust Our Team: Respect, trust and collaboration are non-negotiable.

• Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work.

• Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it.

Who you are:

You’re a highly autonomous Site Reliability Engineer who thrives on building and operating resilient systems across both cloud and edge environments. You take end-to-end ownership - from architecture through production - and have a track record of shipping reliable, scalable infrastructure that supports high-throughput workloads, including systems capable of handling millions of hours of video.

You bring a pragmatic, builder mindset: you move quickly, prioritize using first principles, and consistently deliver production-grade systems. You collaborate effectively across teams, communicate clearly, and translate ambiguous requirements into durable, well-architected solutions.

Your experience includes:

• 5+ years in Site Reliability Engineering, DevOps, or infrastructure engineering

• Strong experience with observability, monitoring, alerting, and incident response

• Proven experience managing Kubernetes clusters in GCP (preferred) or AWS/Azure

• Experience building and automating infrastructure at scale across both cloud and edge environments

• Strong Linux systems and backend engineering fundamentals

• Hands-on experience with tools like Terraform, ArgoCD, Kubernetes, Docker, Prometheus, and Grafana

You might also have:

• Experience with MLOps systems for automated training, testing, and deployment

What you’ll do:

• Design, build, and operate highly reliable infrastructure across both cloud and edge environments

• Own observability and site reliability systems, including monitoring, alerting, and incident response

• Deploy, manage, and scale Kubernetes clusters in Google Cloud (GCP preferred) and other cloud platforms as needed

• Build and automate infrastructure provisioning and deployment pipelines using tools like Terraform and ArgoCD

• Develop and maintain systems using Linux and modern backend technologies

• Architect and operate distributed systems that handle large-scale, high-throughput workloads

• Leverage cloud platforms (GCP, AWS, Azure) to optimize for performance, scalability, and cost

• Implement and manage tooling across the stack, including Kubernetes, Docker, Prometheus, and Grafana

• Partner cross-functionally with engineering and product teams to design and deliver reliable systems

• Prioritize and execute engineering work using first-principles thinking in a fast-paced environment

• Quickly learn and adopt new technologies to improve system performance and developer velocity

What excites you:

• A culture where hard work that drives great outcomes is expected, celebrated, and rewarded.

• A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time.

• Working and mutually learning from an extremely high caliber engineering team

• Developing real-time, high availability video intelligence systems in cloud and sometimes on edge, with lots of ownership and opportunities to implement novel solutions

• Delivering video intelligence infrastructure and tools in ways that are thoughtful about end user privacy, such as edge inference and federated training

• Designing, owning and scaling end-to-end edge and cloud AI platforms

• Operating with autonomy in a fast paced environment

• Communicating directly with customers to better understand their use-cases for iterating on future product roadmap

Compensation and Benefits.

• Annual base salary up to $190,000. The offered salary will depend on your location within the U.S. and your demonstrated skills and competencies for the role. Your recruiter will provide the specific range for your area as you progress through the interview process.

• 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

Come build the future of Video AI with us!

We are creating and cultivating a diverse and inclusive culture where we celebrate individuals for what they accomplish, no matter who they are! As an equal opportunity employer, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.