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

• 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