Cast AI is the leading Kubernetes automation platform for AWS, GCP and Azure customers. The company is on a mission to deliver a fully automated Kubernetes experience. What’s unique about Cast AI is that its platform goes beyond monitoring clusters and making recommendations; it utilizes advanced machine learning algorithms to analyze and automatically optimize clusters, saving customers 50% or more on their cloud spend, improving performance and reliability, and boosting DevOps and engineering productivity.

The company has raised $73M from investors, including Cota Capital, Creandum, Uncorrelated Ventures, and Vintage Investment Partners. Cast AI has over 200 employees globally and is headquartered in Miami, Florida.

However, this is merely the beginning. Our product roadmap is filled with exciting innovations that are yet to come. We are searching for intelligent, motivated, and self-reliant people to help us fulfill this ambitious mission.

PRACTICE CUSTOMER OBSESSION. Focus on the customer journey and work backwards. Strive to deliver customer value and continuously solve customer problems. Listen to customer feedback, act, and iterate to improve customer experience.

LEAD. Take ownership and lead through action. Think and act on behalf of the entire company to build long-term value across team boundaries.

DEVELOP AND HIRE THE BEST. Strive to raise the performance bar by continuously investing in yourself, the team and by hiring the best possible candidates for every position. Drive towards personal development and professional growth, and mentor others to raise the collective bar.

EXPECT AND ADVOCATE CHANGE. Strive to innovate and accept the inevitable change that comes with innovation. Constantly welcome new ideas and opinions. Share insights responsibly with unwavering openness, honesty, and respect. Once a path is chosen, be ready to disagree and commit to a direction.

We are seeking a skilled Associate Product Manager to work alongside our Product Manager to build the next-gen AI automation platform. The ideal candidate will be data-driven, excel at translating complex customer needs into product features, have minimum technical knowledge, and be passionate about the world of AI.

As AI is evolving rapidly, you should be comfortable with a steep learning curve, eager to develop expertise in AI infrastructure, cloud services, and automation. You’ll play a key role in gathering customer insights, defining product features, researching industry trends, and collaborating with engineering to bring innovative AI solutions to market.

Key responsibilities:

• Gather & Analyze Customer Requirements – Conduct user research, customer interviews, and market analysis to understand needs and pain points.
• Translate Insights into Product Features – Work with engineering to define, scope, and refine product requirements based on customer insights.
• Contribute to Engineering Refinement Sessions – Collaborate closely with developers to break down features, prioritize tasks, and ensure smooth implementation.
• Stay Informed on AI & Market Trends – Research AI infrastructure, deployment solutions, and competitive products to identify new opportunities.
• Competitor & Market Analysis – Evaluate industry trends, competitor offerings, and pricing models to inform strategic decisions.
• Analytics & Performance Tracking – Build and analyze reports on feature adoption, customer engagement, and product performance.
• Clear Technical Communication – Bridge the gap between technical and non-technical teams by translating complex concepts into simple, actionable insights.

• Strong Analytical Skills – Ability to interpret data, build analytics reports, track KPIs, and make data-driven recommendations.
• Technical Aptitude – Basic understanding of APIs, cloud infrastructure, and AI concepts.
• Excellent Communication – Ability to articulate technical concepts clearly to cross-functional teams.
• User-Centric Mindset – Experience in conducting user research and turning feedback into product improvements.
• Competitor Research Experience – Ability to assess industry trends and competitors’ strategies.
• Organizational Skills – Detail-oriented with the ability to manage multiple tasks and priorities.
• Problem-solving and analytical skills: Ability to troubleshoot integration issues and optimize performance.
• Collaboration skills: Proven ability to work cross-functionally with engineering, product, and business teams.
• Agile methodology experience: Familiarity with Agile development practices and tools, contributing to iterative product development.

• Competitive salary, depending on the level of experience, with equity options.
• Direct impact on the product in a cutting-edge company that’s reshaping cloud automation and optimization.
• Collaborate with a global team of top cloud experts and innovators passionate about pushing the boundaries of Kubernetes technology.
• Fast development cycles with a short feedback loop and direct customer impact
• Transparent work environment.
• Focus time with minimal meetings and bureaucracy.