Product Owner - AI

• Facilitate backlog refinement, work item clarification, and prioritization with business stakeholders.
• Coordinate sprint planning, execution tracking, and delivery activities across development and QA pods.
• Define and document business requirements, user stories, and acceptance criteria.
• Collaborate closely with software developers and QA engineers to ensure successful delivery of prioritized initiatives.
• Monitor sprint progress, identify risks and dependencies, and drive timely resolution of delivery impediments.
• Support release planning, stakeholder communication, and delivery reporting activities.
• Participate actively in Agile ceremonies, including sprint planning, reviews, retrospectives, and backlog grooming sessions.
• Leverage data, metrics, and stakeholder feedback to continuously improve delivery outcomes and team effectiveness.

• 10+ years of experience in Product Owner/Product Management
• experience supporting teams building AI-enabled products (LLMs, RAG, AI agents, prompt engineering, semantic search, and responsible AI principles)
• Strong experience managing product backlogs, user stories, requirements, and stakeholder expectations.
• Experience working closely with software engineering teams delivering web, cloud, or enterprise applications.
• Deep understanding of Agile / Scrum methodologies and software development lifecycles.
• Familiarity with Azure DevOps, Jira, or similar backlog and delivery management platforms.
• Strong stakeholder management skills with the ability to balance competing priorities, facilitate requirements gathering, and communicate effectively with business and technical teams.
• Bachelor’s degree in Business, Computer Science, Engineering, or a related field. - CSPO, PSPO, SAFe POPM, PMI-ACP, CSM, PSM, or equivalent Agile/Product Ownership certification.
• Cloud certifications such as AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
• Generative AI Certification (AWS, Microsoft, Google, etc.)
• Legal industry knowledge
• Scrum Master background

This opportunity is a yearlong contract with long-term extensions and ability to convert fulltime. The role can sit fully remote, but preferred to be by an office location: Boston MA, NYC, Palo Alto CA, Chicago IL, Denver CO, LA, Miami FL, Reston VA, San Diego CA, San Francisco CA, Santa Monica CA, Seattle WA, or Washington DC. There is a chance of conversion to full-time down the line and require 4x a month onsite, for rare occasions fully remote may be approved.

Compensation: $70/hr to $78/hr. Exact compensation may vary based on several factors, including location, skills, experience, and education. Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.

Our client is a global law firm and recognized leader in AI and legal innovation, leveraging artificial intelligence to enhance legal services, improve client outcomes, and drive operational efficiency. AI is embedded throughout the firm in a secure, responsible, and human-centered manner, serving to augment expertise rather than replace it. The firm advises many of the world’s leading technology companies on AI, data privacy, model governance, and commercialization matters, and has invested heavily in AI-powered products, tools, and platforms that deliver tangible business value. Their commitment to innovation has positioned them at the forefront of AI adoption within the legal industry.

Our client is building a new AI-focused software development organization responsible for developing a portfolio of internal applications, including AI-powered products and agents, financial and business applications, internal generative AI platforms, and cloud-native solutions hosted in AWS. Development is organized into small, highly collaborative cross-functional pods consisting of Principal Engineers/Architects, Software Developers, Product Managers, and dedicated QA Engineers. The organization is focused on delivering scalable, AI-enabled solutions while fostering strong collaboration, shared ownership of quality, and rapid innovation. They are building the next generation of custom agentic applications to support “the business of law” services through the responsible use of artificial intelligence.

The PO will split time between two Agile development pods supported by DevOps, SRE, Enterprise Architecture, and Product teams. The environment operates like a startup backed by a $2.5B global law firm, providing the opportunity to build enterprise-scale AI products with real business impact. The client has a robust AI strategy in place and hundreds of use cases they need to address, for example one of the team’s initiatives is to create an AI-powered billing compliance platform designed to address approximately 6% revenue leakage by analyzing billing records, contract guidelines, and unstructured data to identify inefficiencies and provide actionable insights through a conversational AI interface. The pods are building and deploying real-world AI applications in AWS using modern engineering best practices.

We are looking for a Product Owner to contribute to the successful delivery of Client’s AI-enabled software development initiatives by serving as the primary liaison between business stakeholders and engineering teams. This role focuses on backlog management, requirements clarification, prioritization, sprint planning, and delivery coordination, ensuring development teams are aligned to business objectives and delivering maximum value through Agile and AI-assisted delivery practices.