Technical Product Manager

Virima

Bengaluru

On-site

INR 4,500,000 - 7,500,000

Full time

14 days+
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Job summary

Virima is seeking a Senior Product Manager to own the AI-driven product strategy across major platform areas. You will shape a 3–5 year vision for applying AI in enterprise operations and lead cross-functional teams to deliver competitive, differentiating solutions for large-scale customers.

You will drive business outcomes, engage with enterprise clients, and stay ahead of AI/ML trends, translating business problems into ML-enabled products and capabilities.

Qualifications

  • 5+ years in enterprise B2B SaaS or cloud product management.
  • Proven AI/ML product experience with ML features.
  • Strong learning ability across IT Ops, ITSM, Infrastructure, Security, FinOps.

Responsibilities

  • Own product strategy and roadmap for major platform areas.
  • Define 3–5 year AI-driven vision for enterprise operations.
  • Drive differentiation via AI-first innovation vs competitors.
  • Lead cross-functional teams across engineering, data science, design, QA, DevOps.
  • Manage business outcomes: revenue, acquisition, retention, expansion.
  • Engage with Fortune 500/1000 customers and executives.

Skills

AI/ML leadership
Strategic thinking
Cross-functional leadership
Data-driven decisions
Communication
Market & competitive analysis

Education

Bachelor's/Master's in CS/Engineering/Data Science

Job description

Bangalore South, India | Posted on 08/13/2026

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
  • 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
  • Champion AI-native product philosophy leveraging ML for discovery, prediction, automation, and optimization
  • Work with Data Science teams to translate business problems into ML solutions
  • Guide decisions on when/how to apply AI/ML vs traditional approaches
  • 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
  • Drive predictable delivery with agile/lean practices appropriate for enterprise AI product
  • 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
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