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