Technical Product Manager

• Job Title: Technical Product Manager – AI

• Location: Bangalore

• Experience: 12 – 15 Years

• • • About the Team:

Our MVP Engineering (MVPE) team is focused on transforming breakthrough research into real-world solutions. This team works at the intersection of AI research, engineering, and product, driving rapid MVP development cycles to convert cutting-edge innovations—especially in AI, Data, and Security—into high-quality, customer-ready beta solutions.

The charter is to bridge research and real-world application, enabling faster validation, adoption, and commercialization of innovations.

• The Mission:

We don’t just maintain; we build.

As a Technical Product Manager in our MVPE group, you will sit at the bleeding edge of AI. Your mission is to scout high-potential research prototypes, architect them into viable MVPs, and lead the charge in commercializing these solutions for global enterprise clients. You are the "Translator" who turns stochastic research outputs into deterministic business value.

• Key Responsibilities:

• Prototype to MVP: Evaluate raw research outputs from our AI Research teams and define the roadmap to transform them into scalable, demo-ready MVPs.

• Execute and track: Help team execute these roadmaps for building MVPs in short time, check and tune their focus to bring real product shaping up. Conduct surveys and help test beta applications to make it close to customer expectations.

• Customer Evangelism & Demos: Act as the primary technical face for clients. Conduct deep-dive demos of Gen-AI capabilities, manage technical objections, and lead high-stakes pilot programs.

• Closed-Loop Feedback: Synthesize field feedback from pilots to provide "Research Requirements" back to the labs and "Engineering Requirements" to the dev teams.

• End-to-End Engineering Ownership: Oversee the transition from a "working notebook" to a production-grade system—including scaling, deployment architecture, and long-term maintenance.

• Stakeholder Management: Balance the exploratory nature of Research teams with the aggressive commercial timelines of Marketing and Sales.

• Team Leadership: Lead a high-output full-stack team of PMs/Engineers, setting OKRs that reward both technical breakthrough and successful market adoption.

• What We’re Looking For:

• Gen-AI Mastery: Deep, hands-on experience with LLM orchestration, prompt engineering, fine-tuning workflows, and the deployment of RAG (Retrieval-Augmented Generation) systems.

• 12–15 Years Journey: A career path that shows a move from core engineering/research into high-impact product leadership.

• Commercial Instinct: Proven experience in "zero-to-one" product journeys—taking a concept from a pilot to a revenue-generating commercial product.

• Operational Rigor: Knowledge of CI/CD for ML (ML Ops), containerization (Docker/K8s), and cloud-scale deployment strategies.

• Academic Background: Bachelor’s / master’s in computer science, AI/ML, or a related field (Ph.D. is good to have). Ability to understand and engage with research concepts and discuss architecture with technical teams

• Success in This Role:

• Research ideas translated into high-quality MVPs within short cycles
• Strong adoption in pilots and early customer engagement
• Clear feedback loop improving both product and research outcomes

• Why Join Us:

• Opportunity to work at the intersection of cutting-edge AI research and real-world impact
• Build products from zero to in a high-visibility environment
• Collaborate with global research teams and leading experts
• Play a key role in shaping how innovation transitions into business value

• 12–15 years of experience with a career path from core engineering/research into product leadership
• Deep hands-on Gen-AI experience: LLM orchestration, prompt engineering, fine-tuning workflows, and RAG system deployment
• Proven 'zero-to-one' product experience, taking concepts from pilot to revenue-generating commercial product
• Knowledge of CI/CD for ML (ML Ops), containerization (Docker/K8s), and cloud-scale deployment strategies
• Bachelor's or Master's in Computer Science, AI/ML, or a related field
• Ph.D.
• Ability to understand and engage with research concepts and discuss architecture with technical teams