Product Manager

Our team is seeking a Product Manager to join us. This position suits someone who finds real motivation in reshaping people-focused workflows through practical, intelligent technology solutions. You'll work hand-in-hand with various HR functions to pinpoint genuine challenges and turn them into effective, growth-ready solutions. For those who appreciate blending direct, hands-on development with higher-level strategic thinking, this role presents a valuable chance to influence the employee journey through well-considered AI implementation

Responsibilities

• Work alongside leadership in Payroll, Compensation, Core HR, Recruiting, Talent Development, and HR Operations to spot promising AI applications and establish a clear problem definition, user base, and success benchmarks
• Trace HR workflows from start to finish, covering areas like hire-to-retire, recruit-to-onboard, pay cycle, and compensation cycle, with the goal of cutting out redundant steps and manual effort
• Take charge of the HR AI backlog, ordering requests by weighing business value against effort required, risk factors, and strategic relevance
• Sort incoming requests to pinpoint the most suitable solution path, whether that means a tailored AI agent, a low-/no-code approach, AI functionality embedded in SaaS tools like Oracle HCM, or broader workflow automation
• Craft solutions covering payroll inquiries and pre-payroll verification, compensation planning, Core HR data updates, policy questions, recruiting, onboarding, talent development, and handling of HR cases
• Take direct responsibility for building and rolling out AI agents, Claude Projects, and automated workflows, moving them from prototype stage into full production use
• Produce well-structured requirements, then turn them into working solutions with AI coding assistants such as Claude Code, covering any needed APIs and integrations
• Build out evaluation methods addressing accuracy, fairness, privacy, and human oversight, applying governance, security, and privacy guidelines alongside Security, Legal, Privacy, and Enterprise Architecture teams
• Encourage adoption through enablement and training programs, while monitoring time to hire, payroll error rates, HR case volume, and employee satisfaction levels

Requirements

• At least 8 years of relevant background in software development, product management, HRIS, Payroll, Compensation, Recruiting, HR Operations, or business systems
• A minimum of 3 years spent in Senior, Lead, Manager, or Owner-level roles
• Demonstrated history managing engagements for teams of 5 or more full-time staff
• Hands-on background constructing and launching AI agents and automations through platforms such as Glean, Claude, ChatGPT, Gemini, or AWS Bedrock
• Practical development experience using AI coding assistants like Claude Code, including exposure to APIs, integrations, and enterprise-level data
• Familiarity with prompt and context engineering, RAG, tool use, and methods for evaluating AI performance
• Solid grasp of at least one HR specialty area, such as Payroll, Compensation, Core HR, or Recruiting, paired with an understanding of people data privacy concerns
• Direct experience using tools such as Oracle HCM, payroll platforms, compensation systems, ATS, or learning management tools
• Capability to establish trust among HR leaders and staff, translating AI concepts into clear, business-friendly language
• Fluent English communication skills at a B2 level or higher

Nice to have

• Working knowledge of AI governance frameworks supporting responsible, compliant AI use
• Background applying AWS Bedrock toward building and scaling generative AI capabilities
• Experience with low-code platforms designed for agentic automation to speed up delivery
• Background designing and deploying agentic workflows for intricate HR-related processes
• Direct experience working with Anthropic Claude to support AI solution development
• Knowledge of enterprise Applicant Tracking Systems to support recruiting-focused initiatives
• Experience conducting business process analysis to uncover inefficiencies and improvement areas
• Familiarity with context engineering methods that strengthen AI model relevance and output
• Knowledge of Glean for enabling enterprise search and knowledge discovery capabilities
• Familiarity with the Model Context Protocol (MCP) and its application within AI integration efforts
• Background working with payroll systems and associated 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