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EPAM Systems

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Product Manager

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Description

We are looking for a Product Manager to join our team. This role is a great fit for someone passionate about improving how people-related processes work through smart, practical technology. You'll partner closely with HR functions to understand real pain points and translate them into effective, scalable solutions. If you enjoy balancing hands-on building with strategic problem-solving, this position offers a meaningful opportunity to shape the employee experience through thoughtful AI application

Responsibilities

  • Collaborate with leaders across Payroll, Compensation, Core HR, Recruiting, Talent Development, and HR Operations to identify AI opportunities and clearly define the problem, target users, and measures of success
  • Map HR processes from end to end, including hire-to-retire, recruit-to-onboard, pay cycle, and compensation cycle, to eliminate unnecessary steps and reduce manual work
  • Own and prioritize the AI backlog for HR, ranking requests according to business value, required effort, risk, and strategic alignment
  • Triage incoming requests to determine the best approach, whether a custom AI agent, low-/no-code build, AI embedded within SaaS platforms such as Oracle HCM, or workflow automation
  • Develop solutions addressing payroll questions and pre-payroll checks, compensation planning, Core HR data changes, policy inquiries, recruiting, onboarding, talent development, and HR case handling
  • Personally build and deploy AI agents, Claude Projects, and automated workflows, taking them from initial prototype through to full production
  • Write clear requirements, then build solutions using AI coding assistants such as Claude Code, including related APIs and integrations
  • Establish evaluation processes covering accuracy, fairness, privacy, and human review, applying AI governance, security, and privacy standards in collaboration with Security, Legal, Privacy, and Enterprise Architecture
  • Drive adoption through training and enablement efforts, while tracking time to hire, payroll errors, HR case volume, and employee satisfaction

Requirements

  • A minimum of 5 years of relevant experience in software development, product management, HRIS, Payroll, Compensation, Recruiting, HR Operations, or business systems
  • At least 2 years in Senior, Lead, Manager, or Owner-level roles
  • Proven track record managing engagements for teams of 5 or more full-time employees
  • Direct experience building and deploying AI agents and automations using tools such as Glean, Claude, ChatGPT, Gemini, or AWS Bedrock
  • Hands-on development experience with AI coding assistants like Claude Code, including working with APIs, integrations, and enterprise data
  • Working knowledge of prompt and context engineering, RAG, tool use, and AI evaluation methods
  • Strong understanding of at least one HR area, such as Payroll, Compensation, Core HR, or Recruiting, along with awareness of people data privacy considerations
  • Practical experience with tools such as Oracle HCM, payroll systems, compensation platforms, ATS, or learning tools
  • Ability to build trust with HR leaders and employees, communicating AI concepts clearly in business terms
  • Fluent English communication skills at a B2 level or higher

Nice to have

  • Familiarity with AI governance principles to support responsible and compliant AI adoption
  • Experience with AWS Bedrock for building and scaling generative AI solutions
  • Background working with agentic automation low-code platforms to accelerate solution delivery
  • Experience designing and implementing agentic workflows for complex HR processes
  • Hands-on experience with Anthropic Claude for AI-driven solution development
  • Familiarity with enterprise Applicant Tracking Systems to support recruiting-related solutions
  • Background in business process analysis to identify inefficiencies and improvement opportunities
  • Knowledge of context engineering techniques to improve AI model performance and relevance
  • Familiarity with Glean for enterprise search and knowledge discovery
  • Working knowledge of the Model Context Protocol (MCP) and its role in AI integrations
  • Experience working with payroll systems and related processes
  • Relevant certification, which would be considered a valuable addition to your qualifications

Benefits

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Skills

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