Product Manager - AI Content Framework

EPAM Systems

India

A distancia

INR 3.500.000 - 5.500.000

Jornada completa

Hace 4 días
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Descripción de la vacante

EPAM Systems Inc. seeks a highly analytical Product Manager for AI & Agentic Products to drive the vision, strategy, and execution of the AI-driven portfolio.

You will bridge commercial stakeholders and a cutting-edge AI engineering team, translating business requirements into granular user stories and ensuring measurable business impact. You will partner with the AI Development Lead to define roadmaps, write epics and user stories with acceptance criteria, and prioritize the backlog to maximize

Formación

  • 10–15 years of product management experience.
  • Expertise in Agile or SAFe as Product Owner.
  • Strong understanding of AI solutions, generative AI and LLMs.
  • Ability to translate complex business rules into AI-ready requirements.
  • Proven ROI-focused backlog prioritization and roadmapping.
  • Excellent communication with technical and non-technical stakeholders.

Responsabilidades

  • Collaborate with stakeholders to discover and document business requirements.
  • Evaluate problems through an AI lens to determine best approach.
  • Define and communicate the product roadmap balancing ROI and architecture.
  • Deconstruct features into Work Breakdown Structures with the AI team.
  • Write Epics and User Stories with clear acceptance criteria.
  • Own and groom the product backlog based on ROI and dependencies.
  • Translate domain knowledge into AI agent prompts and tools.
  • Define success metrics, benchmarks, and feedback loops for AI agents.
  • Participate in agile ceremonies as the voice of the customer.

Conocimientos

Product ownership
Stakeholder management
Strategic thinking
Communication
Agile / SAFe
AI concepts

Educación

CSPO certification
PSPO certification
Business Analysis

Herramientas

Jira
Confluence
Azure DevOps

Descripción del empleo

We are seeking a highly analytical and strategically minded Product Manager for AI & Agentic Products to drive the vision, strategy, and execution of our AI-driven product portfolio. In this role, you will serve as the bridge between commercial stakeholders and our advanced AI engineering team. You must possess a deep understanding of business domains alongside a strong technical grounding in Artificial Intelligence, Large Language Models (LLMs), and autonomous agent workflows. Working closely with our AI Development Lead, you will translate high-level business requirements into granular user stories, actively participate in building Work Breakdown Structures (WBS), and ensure the engineering team is building AI solutions that deliver measurable business impact.

Responsibilities
  • Collaborate with business leaders, domain experts, and end-users to discover, define, and document comprehensive business requirements
  • Evaluate business problems through an AI lens—determining whether a problem is best solved via deterministic software, traditional ML, or generative AI/agentic workflows
  • Define, maintain, and communicate the product roadmap, balancing short-term business wins with long-term technical architecture sustainability
  • Partner with the AI Development Lead to deconstruct high-level product features into comprehensive Work Breakdown Structures (WBS)
  • Write highly descriptive, value-driven Epics and User Stories with clear Acceptance Criteria that account for the non-deterministic nature of AI outputs
  • Own, groom, and prioritize the product backlog based on ROI, user impact, and technical dependencies defined by the engineering lead
  • Translate complex business rules and industry domain knowledge into logic that AI engineers can use to build agent prompts, tools, and cognitive routing
  • Work with the engineering team to define what success looks like for AI agents, helping establish performance benchmarks, evaluation datasets, and user feedback loops
  • Actively participate in daily standups, sprint planning, and sprint reviews, acting as the ultimate voice of the customer
Requirements
  • 10-15 years of experience in Product Management, including defining Product Vision and owning the Product Roadmap
  • Expertise in Agile or SAFe frameworks, with extensive experience working as a Product Owner in Scrum or Kanban environments
  • Understanding of AI Solutions, AI Content Framework, and AI Risk Management
  • Knowledge of Generative AI, LLM capabilities (e.g., Google Gemini ecosystem), and RAG (Retrieval-Augmented Generation)
  • Familiarity with function calling and multi-agent orchestration concepts (no coding required, but strong conceptual grasp is essential)
  • Proven ability to map business processes, identify operational bottlenecks, and quantify the ROI of automation features
  • Capability to manage product lifecycles for non-deterministic software where AI outputs are not always 100% predictable
  • Proficiency in Jira, Confluence, or Azure DevOps
  • Showcase of breaking down complex enterprise requirements into logical, incremental software delivery phases using an MVP approach
  • Exceptional ability to explain technical AI constraints to business users and business nuances to technical engineers
  • English proficiency at an Upper-Intermediate level (B2) or higher
  • Nice to have
  • Prior experience acting as a Product Owner or Product Manager for data science, machine learning, or generative AI products
  • Certified Scrum Product Owner (CSPO) or Professional Scrum Product Owner (PSPO) designation
  • Background in Business Analysis or Systems Analysis with a later specialization in AI/ML products
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