AI Delivery Lead
Harbor Labs is a new team within Harbor focused on solving hard AI implementation problems in the legal market. We have strong hypotheses about what works, but we're building this like a startup: learning as we go, adjusting direction based on what the market tells us, and staying flexible about how we operate.
We're looking for an AI Delivery Lead to join at the ground floor. This role sits at the critical intersection between our engineering team and our clients, translating ambiguous business problems into concrete AI solutions, then driving them across the finish line.
This is not a management role. You will be hands-on: building AI-powered applications and solutions, designing transformational workflows, running workshops, configuring systems, testing with real data, and working shoulder-to-shoulder with clients to make AI actually useful in their day-to-day work.
What Makes This Different:
Our edge is combining deep legal domain experience with product sensibility and strong engineering. We understand how legal teams actually work, what change management looks like in risk-averse environments, and how to build software that people will use. We also know the common pitfalls of enterprise software in traditionally low-innovation areas like law, and we're determined to avoid them.
We focus on hard, novel problems where standard platforms fall short. The work is ambiguous, the solutions aren't obvious, and that's the point.
What You'll Do:
- Own client delivery end-to-end. Lead engagements from problem definition through production deployment. You're accountable for outcomes, not just activity.
- Translate between business and engineering. Work with legal teams to understand what they actually need (not just what they say they want), then spec solutions our engineers can build.
- Design AI-native workflows. Figure out where AI fits in existing processes, what needs to change, and how to make the human + AI collaboration actually work.
- Get your hands dirty with the product. Configure systems, curate and structure knowledge sources, write prompts, design test cases, and validate outputs against real-world data.
- Drive integrations and architecture decisions. Work with engineers to figure out how AI fits into client tech stacks: APIs, data flows, security requirements.
- Run enablement and change. Train users and knowledge source owners on how to work with AI systems. Help people understand what AI can and can't do, and design around both.
- Help build Harbor Labs itself. This is a ground-floor opportunity. You'll shape how we work, what we build, and where we go next.
What We're Looking For:
- You define problems, not just solve them. You don't build to spec. You challenge assumptions, ask hard questions, and carve a path through unstructured, complex problem spaces. You can develop a vision when there isn't one.
- You've shipped AI products or implementations. You understand how these systems actually work: RAG architectures, agentic workflows, prompt engineering, evaluation methods. You've seen what breaks in production.
- You're deeply fluent in AI, but not captured by hype. You follow what's happening in the space closely and understand current best practices. You also know how to separate signal from noise when every vendor is claiming to be the next breakthrough.
- You hold current model-provider credentials. Anthropic Academy certifications (AI Fluency: Framework & Foundations, Claude Code, Building with the Claude API, Model Context Protocol) are a strong plus, and current OpenAI Academy coursework counts too. This is a real signal for us, not a checkbox: it shows you're building with today's tools.
- You're technical-adjacent, not afraid of code. You don't need to be writing Python all day, but you can read an API doc, understand a system architecture diagram, and have an intelligent conversation with engineers about tradeoffs.
- You can run a room. Workshops, executive presentations, working sessions with skeptical users. You're comfortable leading conversations at any level.
- You're relentlessly practical. You care about what actually works in production, not what sounds impressive in a deck.
- You're comfortable with ambiguity. Harbor Labs is new. The market is evolving. You'll need to figure things out without a playbook.
Nice to Have:
- Background in legal technology, legal operations, or enterprise software
- Experience at a product company (PM, solutions engineering, customer success)
- Hands-on experience with a broad range of AI development tools and LLM APIs
- Experience in consulting or professional services environments
Why Harbor Labs:
We're a small team working on hard problems with clients who are serious about deploying AI in production. The team is senior, the work is hands-on, and you'll have real ownership over what you deliver.This is early. You'll have meaningful input into what Harbor Labs becomes.
How to Apply:
Send us a note about why this role interests you and what you've built or shipped that you're proud of. Links, portfolios, or examples of your work are more valuable than a polished resume.
About Us:
Harbor is the preeminent provider of expert services across strategy, legal technology, operations, and intelligence. Our globally integrated team of 900+ strategists, technologists, and specialists navigate alongside our clients - leading law firms, corporations, and their law departments - to provide essential resources and invaluable insights. Anchored in a rich heritage of deep knowledge, steadfast relationships, and mutual respect, our unwavering dedication lies in shaping the future of the legal industry and fostering enduring partnerships within our community and ecosystem.
Harbor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, civil union status, national origin, ancestry, age, parental status, disabled status, veteran status, or any other legally protected classification, in accordance with applicable law.