Who We Are

At Spectro Cloud, we’re on a mission to make enterprise infrastructure boundaryless—from data center to edge and every platform in between. Our platform empowers enterprises to run Kubernetes their way, anywhere.

We’re expanding the power of AI across our Kubernetes management platform—unlocking new levels of autonomous operations, contextual intelligence, and intuitive interaction for our users. At the same time, we’re enabling enterprise customers to seamlessly deploy and manage the infrastructure required to run their own AI/ML workloads at scale.

Founded by multi-cloud veterans with a proven track record, we’re redefining how companies manage infrastructure at scale. Backed by top-tier investors and driven by a team of passionate builders, we’re committed to delivering real value to our customers—and we take pride in the impact we make together.

What's The Job?

We’re looking for a Senior Product Manager – AI/ML to lead our AI product strategy and execution—defining how Spectro Cloud delivers real-world value through intelligent platform capabilities, while establishing Palette as the infrastructure of choice for running enterprise-grade AI/ML workloads. You’ll empower customers to deploy, scale, and operate AI-ready Kubernetes environments with confidence and speed.

This role offers a unique opportunity to shape our AI direction from a strong foundation of customer demand, technical experimentation, and early investments. You’ll work cross-functionally to drive meaningful AI use cases across the platform—blending deep technical understanding with a user-centric mindset.

You’ll join a tight-knit, driven team of product and engineering leaders shaping the future of Spectro Cloud.

What you will do:

• Define and own the end-to-end AI product strategy, aligned with Spectro Cloud’s platform vision and enterprise customer needs.
• Deliver AI-enhanced capabilities such as autonomous operations, predictive insights, intelligent recommendations, and LLM-powered interfaces across the platform.
• Enable customers to deploy GPU-enabled clusters, ML pipelines, and scalable AI workloads on Kubernetes.
• Translate technical concepts into clear product requirements that drive real customer value and adoption.
• Partner with engineering, UX, and field teams to deliver features end-to-end—from ideation to release and enablement.
• Define and track success metrics for AI-driven features and platform adoption in AI/ML workloads.
• Stay ahead of AI/ML trends (e.g., LLMs, MLOps, edge AI) and shape our roadmap with a future-ready perspective.

📍 Location: This is a full-time position based in our headquarters in San Jose, California.

Salary range: $200,000-$275,000 OTE (DOE).

About You

You LOVE technology because you’re curious, and you thrive building amazing products that are a joy to use, even with complex technologies such as Kubernetes.

You will thrive in this role if you have:

• A background in Computer Science, AI/ML, or a related technical field.
• 5+ years of product management experience, with ideally 2-3 years of experience in AI/ML.
• Solid understanding of Kubernetes and cloud-native technologies, including CNIs, CSIs, and container orchestration.
• Experience working with ML workflows, model lifecycle management, or MLOps tooling.
• Ability to connect technical depth with customer outcomes, balancing feasibility, scalability, and usability.
• Strong communication and storytelling skills—comfortable engaging both engineering and enterprise customers.
• A bias toward execution, iteration, and continuous learning.
• The ability to thrive in a fast-paced, high-growth environment.
• Comfort stepping in and covering for others when needed.

We don’t expect candidates to check every box—but if you’re excited about shaping the future of AI/ML infrastructure on Kubernetes, we’d love to hear from you!

The Hiring Process

Your time is valuable, so we want to ensure we respect it and the effort you put into the hiring process.

Our interview process typically comprises 3 to 4 stages:

• Initial screening interview - A two-way conversation to see if we’re a good fit for each other.
• Product management interview - Meet a future teammate who will assess your PM skills and domain expertise.
• Engineering interview - Chat with our engineers to evaluate technical collaboration and feasibility.
• Culture/Team Interview - A discussion on teamwork, values, and culture fit.
• (If needed) Additional interviews - Depending on progress, we may schedule additional discussions.

We appreciate your commitment and look forward to getting to know you!

Become a Spectronaut and join us in shaping the future! 🚀

Department

Product

Role

Senior Product Manager

Locations

San Jose

Remote status

Hybrid