AI Product Manager

About Halcyon Labs Halcyon Labs is an online education company building premium live online courses taught by top executives and industry experts. We are dedicated to transforming the online education industry by providing innovative course offerings. We operate across Sales, Marketing, Production, Instructor Sourcing, Student Support, Finance, Creative, and Engineering. We are building a new product function that starts with AI-native internal tools and grows into products our students use directly. Why This Role Exists AI development tools have changed who gets to build software. Writing code is no longer the bottleneck. The bottleneck is understanding the real business problem, inventing the right product, writing an airtight specification, and making sure people actually use what gets shipped. You will work AI-native from day one — Claude, Claude Code, and similar tools are your core workflow, not an add-on. And you will ship to real users fast: internal teams within weeks and, as your scope grows, Halcyon Labs students. Shipping is not the finish line either: a tool that internal teams ignore is a failed product, so driving adoption is one of your top priorities. What You Will Build You will start with internal tools and workflow products across the company. Examples may include: AI-powered instructor sourcing tools Payment, invoice, and Stripe/HubSpot workflows Sales automation tools and internal dashboards Production planning and course launch tools AI agents for repetitive operational tasks Tools for Creative, Marketing, Finance, Student Support, and Tech Support Workflow automation across HubSpot, Stripe, Workable, Google Workspace, Airtable, Asana, n8n, Zapier, Supabase, Vercel, or similar systems Your scope will grow into student-facing products. Most of this surface is greenfield: the student platform experience, AI learning tools, enrollment and payment flows, and career and outcome tools. Internal tools are how you earn that scope; student products are where it leads. What You Will Do 1. Discover real business problems You will interview stakeholders, observe workflows, ask sharp questions, and identify the real operational bottleneck behind a request. 2. Design product solutions You will turn business pain into practical product concepts: user flows, workflow logic, feature sets, data requirements, edge cases, and launch plans. For student-facing work you will also own UX and UI, using AI design tools, with support from our Creative team on key decisions. 3. Write deep specifications using AI You will use AI tools such as Claude and Claude Code to produce detailed, development-ready PRDs and technical specifications — airtight enough that an engineer can build from them without guessing, and a stakeholder can validate them without translating. 4. Prototype products yourself You do not need to be a traditional full-stack developer, but you must be comfortable building or assembling prototypes and working tools with AI-assisted development. Relevant tools include Claude Code, OpenAI Codex, n8n, Zapier, Airtable, Supabase, Vercel, and the Google Workspace stack. 5. Work with engineers for complex builds For more complex projects, you will work with the CTO and software engineers who handle serious backend work, APIs, data architecture, security, payments, and production-grade implementation. You will still own the product layer: the problem, the spec, the scope, the roadmap, the acceptance criteria, and user validation. 6. Drive adoption — a top priority of this role You will not stop when the code works. For internal tools, driving adoption by internal teams is one of the top priorities of this role. You will train users, remove friction, retire the old way of doing things, measure usage, collect feedback, write release notes, and iterate until your tool is the default way the work gets done. What Success Looks Like Within the first 90 days, you should be able to: understand several core Halcyon Labs workflows across Sales, Production, Sourcing, Finance, and Operations identify high-value internal product opportunities write strong specs for at least two priority tools build or co-build at least one working internal prototype drive real adoption of at least one shipped tool — measured by usage, not by launch map the student journey end to end and build a rough prototype of one student-facing product concept create a repeatable AI-native product development process Requirements We are looking for a strong Middle candidate with practical product and workflow experience. You should have: 3+ years in Product Management, Product Ownership, Business Analysis, Systems Analysis, Product Operations, RevOps, automation, or a similar role experience with n8n, Zapier, Supabase, or Vercel experience with Claude, Claude Code, or OpenAI Codex ability to prototype tools using AI-assisted development experience interviewing business stakeholders and translating business needs into clear requirements experience writing PRDs, specs, user st