Senior Product Manager, Spectro Cloud
AI/ML
$200-275k
OTE
Office located in San Jose, CA
Integrated Kubernetes platform
Job no longer available
Integrated Kubernetes platform
101-200 employees
Job no longer available
$200-275k
OTE
Office located in San Jose, CA
101-200 employees
Company mission
To make infrastructure boundaryless for the enterprise, from data center to edge.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Application 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
Our take
Since its release in 2014, Kubernetes has seen widespread adoption as a cloud-native data center for software companies and those using clusters of tools. Spectro Cloud helps companies and organisations using Kubernetes to deploy and manage the software across all stages of a product’s life cycle.
Founded by former employees of legacy software company Cisco, Spectro Cloud was created in 2019 to offer decentralised architecture, frictionless onboarding, management, and security for application building. Its Kubernetes management platform, Palette, works end-to-end to support the product lifecycle, allowing users to build for "what they need now and in the future."
With impressive funding behind it, Spectro Cloud is planning new management hires and expanding its software’s uses across new technologies. This includes exploring artificial intelligence and a variety of possible applications in industries such as automotive, healthcare and energy.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Nov 2024
$75m
SERIES C
Mar 2022
$40m
SERIES B
Total funding: $142.5m
Company HQ
North San Jose, San Jose, CA
Leadership
Tenry Fu
(CEO & Co-Founder)Previously Senior Director at Cisco, CTO at CliQr Technologies, Staff Engineer at VMware Inc and Software Engineer at McAfee Inc.
Saad Malik
(CTO & Co-Founder)Previously Director of Engineering at Cisco and Software Engineering Manager at CliQr Technologies.
Joshi Gautam
(Engineering VP & Co-Founder)Previously Director of Engineering at Cisco, VP of Engineering at CliQr Technologies and Engineer at Mavatar Technologies.
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