Director - Product Management

Role Overview

Key Responsibilities

• Define and own the product vision and strategy for MontyCloud’s AI-powered Day-2 Cloud Operations platform tailored for Managed Services Providers (MSPs).
• Define and drive a customer-obsessed product vision and roadmap that empowers MSPs to excel in Day-2 cloud operations through AI-led automation, addressing key challenges in governance, compliance, cost optimization, and operational efficiency.
• Lead the full product lifecycle — from ideation and discovery to launch and iteration — for Day-2 cloud operations features.
• Collaborate with Engineering, Design, and AI/ML teams to build scalable solutions that automate and simplify MSP workflows in multi-cloud environments.
• Engage directly with MSPs to understand their operational challenges and translate them into high-impact product features.
• Build solutions that automate key Day-2 operations e.g., security compliance, cost governance, incident response
• Leverage product analytics, A/B testing, and AI-powered insights to optimize product features and validate decisions, measure adoption, and drive continuous improvement.
• Establish and track KPIs reflecting MSP success — including cloud cost efficiency, compliance adherence, operational agility, customer satisfaction, and business impact across customer segments and geographies.
• Partner with Sales, Customer Success, and Marketing to position the platform as the trusted AI-powered Day-2 operations enabler for MSPs.
• Hire, lead, and mentor a high-performing product team of Senior and Principal Product Managers, fostering a culture of customer obsession, data-driven execution, and operational excellence.
  

Desired Technical Skills

Must Have

• 12+ years of product management experience with at least 2+ years operating at the Director-level or equivalent scope.
• Strong track record of building and scaling cloud-native B2B SaaS products, preferably in the IT or CloudOps domain.
• Deep expertise in cloud platforms (AWS, Azure, GCP) and understanding of Day-2 operational challenges.
• Proven experience collaborating with AI/ML and engineering teams to launch intelligent, automated product features.
• Proficiency in tools like Amplitude, Mixpanel, GA, and SQL for data-informed product decisions.
  

Good to Have

• Hands-on experience in building MSP-focused solutions around cost optimization, compliance, and observability.
• Familiarity with AI in IT operations (AIOps), cloud governance tooling, and automated incident management.
• Knowledge of multi-tenant architecture and self-service configuration frameworks for MSP platforms.
  

Desired Business Skills

Must Have

• Strong strategic thinking and ability to align product direction with market opportunities and company goals.
• Demonstrated success in delivering measurable customer outcomes in the MSP ecosystem, such as increased operational efficiency, cost reduction, and margin growth.
• Excellent communication and storytelling skills to influence C-level stakeholders across technical and business domains.
• Data-driven decision-making mindset, with a deep understanding of product-market fit and cloud-native economics.
  

Good to Have

• Experience collaborating on cloud-centric pricing and packaging strategies.
• Exposure to executive-level decision-making processes in fast paced AI/Cloud product environments.
• Ability to scale product processes and build a culture of operational excellence and velocity.
  

Experience

• Total Experience: 12+ years in Product Management, with a focus on cloud-native, AI-enabled B2B SaaS products.
• Leadership Experience: 2+ years’ operating at the Director level or in an equivalent strategic leadership role, with demonstrated ownership of product vision, team leadership, and cross-functional influence.
• Domain Expertise: 8+ years in cloud management, MSP operations, or Day-2 operations solutions.
• People Management: 6+ years of experience leading Senior and Principal Product Managers or equivalent leadership teams.
• Execution Track Record: Proven delivery of high-impact product launches with quantifiable business outcomes.
• Cross-Functional Influence: Proven experience collaborating with engineering, AI/ML, and GTM teams to deliver measurable results.
  

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field.
• MBA preferred, but not required.