Note: The job is a remote job and is open to candidates in USA. Harbor is building the next generation of AI-enabled legal services, and they are seeking an AI Program Manager to lead complex legal AI programs and guide senior legal stakeholders. This role involves orchestrating multidisciplinary teams and establishing frameworks that enable effective AI delivery for clients.
Responsibilities
- Lead complex legal AI programs from strategy through adoption. Create the structure, priorities, decision forums, and momentum required to move enterprise AI initiatives forward across one or more embedded client engagements
- Guide senior legal stakeholders with credibility. Advise General Counsel, legal-operations leaders, and lawyers on use cases, sequencing, governance, adoption, and what strong AI programs look like in practice
- Orchestrate multidisciplinary teams. Connect client leaders with Harbor specialists across AI delivery, legal operations, workflow design, change, and technology so that decisions translate into coordinated action
- Turn delivery signals into program decisions. Translate what is happening in configuration, prompting, evaluation, workflow design, risk, and adoption into clear recommendations about scope, sequencing, staffing, and investment
- Create momentum without creating bureaucracy. Establish an operating cadence that gives teams clarity and leaders visibility while preserving speed, experimentation, and ownership
- Challenge constructively. Push back on weak use cases, unrealistic timelines, scope drift, or decisions that will not create sustainable value while strengthening trust and maintaining executive alignment
- Build reusable Harbor Labs approaches. Develop practical frameworks, governance models, reporting methods, and implementation patterns that can be reused and improved across engagements
- Help shape the future of the capability. Bring market and client insight back into Harbor Labs, identify emerging needs, and influence how our delivery model, offerings, and team evolve
Skills
- Legal AI delivery experience. You have led or played a central role in legal AI implementations—not only general technology or software projects. You understand what it takes to move from use-case selection through workflow design, evaluation, rollout, and adoption
- Credibility with lawyers and executives. You can engage senior legal stakeholders as a peer, explain complex issues clearly, and hold a well-informed point of view even when it challenges the initial direction
- A builder mindset. You enjoy creating structure where none exists, testing new approaches, learning quickly, and improving the playbook rather than simply following one
- Strong program judgment. You know how to identify the decisions that matter, surface risk early, sequence work intelligently, and keep teams focused on outcomes rather than activity
- Current AI fluency. You actively follow developments across leading model providers, agentic workflows, retrieval-augmented generation, evaluation methods, and enterprise AI patterns. You separate durable capability from hype
- Hands-on curiosity. You experiment with current AI tools and understand how they behave in practice. Relevant training or credentials from Anthropic, OpenAI, Google, Microsoft, or other leading platforms are valued, but demonstrated learning and applied experience matter more than certificates
- Comfort with ambiguity and change. You are energized by an environment where roles, methods, and opportunities will evolve as the market develops and the team learns
- Collaborative confidence. You work well with technical experts, consultants, operators, and client teams; you can lead without relying on hierarchy and make others better through clear thinking and strong partnership
- Experience in a law firm, corporate legal department, legal-operations team, legal technology company, or professional services environment
- Experience leading embedded, managed-services, or recurring delivery models rather than only fixed-scope projects
- Experience establishing governance, reporting, or program infrastructure for a new or rapidly evolving capability
- Exposure to product thinking, service design, change management, or enterprise technology adoption
- Experience working across global teams and complex stakeholder environments
Company Overview
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