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Senior Product Manager, AI

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Description

Job Title: Senior Product Manager, AI

Location: Vilnius, Lithuania

Reports To: US-Based Product Leader

Employment Type: Full-Time, Hybrid


The Opportunity

AccuSourceHR is shifting from traditional software delivery toward a faster, more AI-assisted product and engineering model. We are introducing AI-assisted development, AI coding agents, agentic workflows, human-in-the-loop review, and new ways of defining, testing, and shipping product requirements.


We are looking for a curious, execution-oriented, and technically comfortable AI Product Owner to help sit at the center of this transition. This role combines traditional Product Owner responsibilities with lightweight Agile delivery leadership. The right person will help translate business goals into clear requirements, agent-ready work packets, practical backlog priorities, and well-defined acceptance criteria that enable product and engineering teams to move faster.


This is a strong fit for someone who enjoys hands-on product work, brings structure to ambiguity, and is genuinely excited about how AI is changing the way software gets built in day-to-day practice. The ideal candidate does not need to be a software engineer, but should be comfortable working closely with developers, reviewing technical workflows, using AI tools, and helping teams turn business needs into clear, testable, and shippable product increments.


You will work closely with US-based product leadership and Lithuania-based engineering teams to support product execution, backlog management, sprint planning, AI-assisted delivery workflows, and cross-functional collaboration. You will help developers move faster while making sure the team does not sacrifice quality, security, customer value, or delivery discipline.

Requirements


Key Responsibilities:

  • Product Strategy & Vision: Define and manage the product roadmap, aligning with company objectives and customer needs.
  • Cross-Functional Leadership: Collaborate with engineering, design, implementation, operations, and marketing teams to deliver high-impact products.
  • User-Centric Design: Utilize user research, feedback, and data analytics to inform product decisions and enhance user experience.
  • Agile Execution: Lead agile ceremonies, including sprint planning, backlog grooming, and retrospectives, ensuring timely delivery of features.
  • Performance Monitoring: Track key performance indicators (KPIs) and user feedback to identify areas for improvement and drive product enhancements.
  • Market Analysis: Stay informed about industry trends, competitor offerings, and emerging technologies to inform product strategy.

Skills

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See also

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