About this role
Role Overview
We seek an exceptional Senior Product Manager to own product strategy for major platform areas, driving AI-driven innovation, competitive differentiation, and market wins against industry leaders. This role demands strategic vision, AI/ML expertise, rapid cross-domain learning ability, and proven enterprise B2B SaaS success.
Core Responsibilities
Product Strategy & Vision (40%)
Own product strategy and roadmap for major platform areas across multiple domains
Define 3-5 year vision for how AI transforms enterprise operations
Drive competitive differentiation through AI-first innovation vs legacy competitors (ServiceNow, Salesforce)
Make strategic build/buy/partner decisions with clear business impact analysis
Own business outcomes: revenue targets, customer acquisition, retention, and expansion
Rapidly learn diverse domains (IT Ops, ITSM, Infrastructure, Security, FinOps) through customer engagement and SME collaboration
Identify white space opportunities and new market segments for AI-powered solutions
AI/ML Product Leadership (25%)
Champion AI-native product philosophy leveraging ML for discovery, prediction, automation, and optimization
Define AI product requirements: training data, model performance, inference, continuous learning
Work with Data Science teams to translate business problems into ML solutions
Guide decisions on when/how to apply AI/ML vs traditional approaches
Define AI metrics: model accuracy, business impact, user satisfaction
Stay current with AI/ML trends and evaluate emerging technologies
Execution & Cross-Functional Leadership (20%)
Develop multi-quarter roadmaps balancing innovation, customer needs, and technical excellence
Lead large cross-functional teams: Engineering, Data Science, Design, QA, DevOps, ML Ops
Drive consensus across Sales, Marketing, Customer Success, and executive stakeholders
Execute product launches with comprehensive GTM strategy
Create sales enablement: demos, competitive positioning, ROI calculators, RFP responses
Drive predictable delivery with agile/lean practices appropriate for enterprise AI product
Market & Customer Engagement (15%)
Engage strategic enterprise customers (Fortune 500/1000) and C-level executives
Lead customer advisory boards and strategic account relationships
Participate in enterprise sales cycles with product expertise and vision
Conduct competitive analysis, win/loss reviews, and market intelligence
Engage with industry analysts (Gartner, Forrester) and influence market perception
Build customer champions and reference accounts
Requirements
6-10+ years product management in enterprise B2B SaaS or cloud platforms
Proven AI/ML product experience: shipping ML-powered features, working with data science teams
Track record of rapid learning and innovation across diverse domains
Technical background: BTech/BE/MS in CS, Engineering, Data Science, or equivalent
Strong understanding of AI/ML, distributed systems, cloud architecture
Enterprise sales experience: complex sales cycles, strategic accounts, C-level engagement
Excellent communication and executive presence
Data-driven approach with strong analytical skills
Experience competing against ServiceNow, Salesforce, or similar enterprise leaders
Good to Have
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