The Principal Product Manager will lead AI product strategy, oversee product lifecycle, define key metrics, engage with engineering teams, and ensure market fit while focusing on customer needs and operational excellence.
Role Overview
We are seeking a seasoned Principal Product Manager – AI to lead the vision, strategy, and execution of AI-powered capabilities within MontyCloud’s product ecosystem. This role focuses on building intelligent, automation-driven solutions that improve cloud operations, decision-making, and customer outcomes.
The ideal candidate brings strong B2B SaaS product experience with a clear Customer Obsession, using AI to solve real-world problems. You should demonstrate Strategic Clarity in defining product vision and connecting roadmap decisions to business outcomes, along with Technical Fluency to engage effectively with AI/ML concepts, engineering teams, and customers.
You will work cross-functionally to deliver scalable AI solutions, driving Operational Excellence through strong ownership, execution, and continuous iteration.
Key Responsibilities
- Define and own the product strategy for AI and Generative AI capabilities within MontyCloud
- Identify high-impact AI use cases across cloud operations, automation, optimization, and customer workflows
- Drive the end-to-end product lifecycle from opportunity discovery and experimentation to roadmap planning, requirements, delivery, and launch
- Work backwards from customer pain points to create AI-powered solutions with clear user and business value
- Partner with engineering and technical teams to deliver secure, scalable, and high-performing AI product capabilities
- Translate complex AI/ML technologies into simple, valuable, and usable product experiences
- Collaborate with customers and internal stakeholders to validate AI use cases and ensure product-market fit
- Define product KPIs and success metrics for AI-driven features, including adoption, efficiency, engagement, and business impact
- Balance short-term AI experimentation with long-term product vision and platform scalability
- Stay current on market trends, AI/ML advancements, LLM ecosystem changes, and competitive landscape to inform product direction
- Evangelize the AI product vision internally and externally through storytelling, demos, enablement, and customer engagements
- Ensure responsible AI thinking through a focus on trust, usability, risk awareness, and scalable product operations
Must Have
- 12+ years of experience in Product Management, with strong experience in B2B SaaS
- Experience building, launching, or scaling AI/ML or Generative AI-powered products or features
- Proven ability to define AI product strategy and execute from concept to launch
- Strong customer-first mindset and ability to identify meaningful AI use cases tied to real customer pain points
- Strong analytical and product thinking, including data-driven prioritization and success measurement
- Ability to translate technical AI concepts into compelling product experiences and value propositions
- Proven ability to work cross-functionally with engineering, design, GTM, and customer-facing teams
- Strong communication skills, with the ability to move between executive-level storytelling and detailed product discussions
- Ability to operate in a high-ambiguity, fast-paced environment with strong ownership
- Familiarity with Generative AI, LLMs, copilots, AI assistants, or workflow automation tools
- Understanding of AI governance, responsible AI, privacy, and trust considerations
Good to Have
- Experience with cloud AI platforms such as AWS, Azure, or GCP AI services
- Exposure to enterprise AI use cases in cloud, operations, support, or SaaS workflows
- Experience in 0→1 product development
- Experience in cloud, infrastructure, or platform product environments
Experience
- 12+ years in Product Management
- Strong background in B2B SaaS, with experience in AI/ML, Generative AI, or cloud-based products
- Experience shipping products or features that drive measurable customer or business impact
- Experience working with enterprise customers and complex technical stakeholders preferred
Education
- Bachelor’s degree in Engineering, Computer Science, Technology, Business, or related field
- MBA or advanced degree in Business / Technology preferred
Top Skills
AI
Ai/Ml
AWS
Azure
B2B Saas
GCP
Generative Ai
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