We9re 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 we9re determined to avoid them.
We focus on hard, novel problems where standard platforms fall short. The work is ambiguous, the solutions aren9t obvious, and that9s the point.
What You9ll Do:- Own client delivery end-to-end. Lead engagements from problem definition through production deployment. You9re 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 can9t do, and design around both.
- Help build Harbor Labs itself. This is a ground-floor opportunity. You9ll shape how we work, what we build, and where we go next.
What We9re Looking For:- You define problems, not just solve them. You don9t 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 isn9t one.
- You9ve shipped AI products or implementations. You understand how these systems actually work: RAG architectures, agentic workflows, prompt engineering, evaluation methods. You9ve seen what breaks in production.
- You9re deeply fluent in AI, but not captured by hype. You follow what9s 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 you9re building with today9s tools.
- You9re technical-adjacent, not afraid of code. You don9t 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. You9re comfortable leading conversations at any level.
- You9re relentlessly practical. You care about what actually works in production, not what sounds impressive in a deck.
- You9re comfortable with ambiguity. Harbor Labs is new. The market is evolving. You9ll 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: We9re 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 you9ll have real ownership over what you deliver. This is early. You9ll have meaningful input into what Harbor Labs becomes.
How to Apply: Send us a note about why this role interests you and what you9ve built or shipped that you9re proud of. Links, portfolios, or examples of your work are more valuable than a polished resume.
