AI Product Manager

PeopleStrong; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

PeopleStrong in Bengaluru invites an AI Product Manager to drive enterprise AI/ML platforms, with strong technical depth and product instincts. You will own the roadmap, translate business problems into AI use cases, and partner with engineering to design scalable architectures.

You will lead end-to-end lifecycle from discovery to launch, balance accuracy, latency, and cost, and guide adoption of GenAI capabilities.

Qualifications

• 8+ years delivering enterprise analytics products.
• Owns end-to-end lifecycle from discovery to launch.
• Experience with GenAI/LLM and AI agents.
• Strong stakeholder management and communication.

Responsibilities

• Define product vision, roadmap, and strategy for AI/ML platforms.
• Translate business problems into scalable AI requirements and use cases.
• Break down AI initiatives into execution plans with timely delivery.
• Evaluate trade-offs between accuracy, latency, and cost.
• Drive adoption of GenAI/LLM capabilities and guide AI agents development.
• Partner with engineering on architecture, scale, and system design decisions.
• Establish QA processes and governance for high-quality releases.
• Review client-facing deliverables for impact and quality.

Skills

AI product mgmt

End-to-end lifecycle

GenAI/LLM exposure

Python

SQL

Stakeholder management

Agile/Scrum

Time Series Forecasting

Tools

AI platforms

Job description

Product Management Product Roadmap Product Lifecycle

Job Description

Job Description

We are looking for a AI Product Manager with strong expertise in AI, Machine Learning, and Advanced Analytics platforms to drive enterprise-scale product outcomes. This role requires a balance of technical depth, product thinking, and stakeholder management, with a strong focus on AI-driven product development and platform enablement.

Key Responsibilities

• Define product vision, roadmap, and strategy for AI/ML-driven platforms and solutions
• Translate business problems into scalable product requirements and AI use cases
• Break down AI initiatives into structured execution plans and ensure timely delivery
• Evaluate trade-offs between accuracy, latency, and cost in product decisions
• Drive adoption of GenAI/LLM-based capabilities and guide development of AI agents
• Leverage AI tools to enhance team productivity and review AI-generated outputs
• Partner with engineering to guide architecture, scalability, and system design decisions
• Establish processes for code reviews and technical quality governance
• Debug product issues at a conceptual level and guide teams toward resolution
• Review client-facing deliverables (dashboards, insights, tools) for quality and impact
• Design fit-for-purpose product solutions aligned with business goals and constraints
• Collaborate with stakeholders to define product scope, success metrics, and delivery strategy
• Communicate insights, recommendations, and product updates to client stakeholders
• Own end-to-end product lifecycle (discovery → build → launch → iteration)
• Manage backlogs, prioritize features, and drive Agile execution (sprints, reviews)
• Track product performance and drive continuous improvement initiatives
• Ensure structured QA processes and high-quality product releases
• Lead cross-functional teams and align execution with product goals
• Drive stakeholder discussions, storytelling, and decision-making
• Mentor team members and foster a culture of innovation, accountability, and transparency

Required Skills and Experience

• 8+ years of experience delivering outcomes for enterprise clients in product/analytics roles
• Strong experience owning end-to-end product lifecycle (0→1 and 1→N)
• Experience using AI tools to enhance productivity and reviewing AI-generated outputs
• Strong understanding of trade-offs: accuracy vs latency vs cost
• Exposure to GenAI/LLM-based applications (preferred)
• Ability to break down AI requirements into actionable plans and guide execution (including AI agents)
• Strong foundation in Probability & Statistics
• Deep understanding of Practical Machine Learning systems and limitations
• Advanced proficiency in Python and SQL
• Knowledge of advanced analytics areas: Time Series Forecasting, Bayesian Analysis, Operations Research
• Experience in domains like Pricing Analytics, Media Mix Modeling (MMM), Customer Analytics (B2B/B2C)
• Ability to design business-aligned product solutions and define success metrics
• Strong experience in Agile/Scrum, backlog prioritization, and delivery ownership
• Ability to create structured processes for quality assurance and delivery excellence
• Strong stakeholder management, communication, and storytelling skills
• Demonstrated leadership, mentorship, and team management capabilities
• Strong people skills: conflict resolution, empathy, negotiation
• Self-driven with high ownership and accountability