Technical Product Manager

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