Product Manager / Product Owner (AI)

We build AI-heavy software for commercial real estate lenders, covering loan origination, servicing, document extraction, and financial analysis. We’re looking for an AI Product Manager to own the path from requirements → development → QA → release . This is not a traditional PM or project coordinator role . We use AI agents to do the mechanical work — drafting tickets, documentation, test cases, and other delivery tasks. Your job is to define the work precisely, build effective agent workflows, and apply judgment to what comes back. Schedule — read before applying This role connects a European development team with a US business team: 10:00–12:00 Kyiv time — development team, Mon–Fri 19:00–21:00 Kyiv time — US team, Mon–Fri Both are fixed. The hours between are flexible. Apply only if this schedule works for you long term. What you’ll own Product delivery: sprint planning, backlog, scope, priorities and capacity Requirements: feature specs, acceptance criteria, and keeping wiki/designs/tickets aligned AI workflows: build agents that generate tickets, documentation, test plans, etc. QA: test new features, run regression, validate AI document extraction, and file defects with evidence Design review: compare implementation against Figma and catch gaps before release Product: participate in scoping and design decisions and represent the user What we’re looking for 3+ years in product management, delivery management, product operations, QA, or a combination AI is already part of your daily workflow Hands-on experience with AI agents / Claude Code / MCP / Claude Skills / Cowork or comparable tools You can write specifications precise enough for an agent to produce useful output Strong judgment about when AI output needs verification — and you actually verify it Comfortable with Jira, Confluence/wiki, Figma, PDFs, spreadsheets and structured data Strong spoken and written English and Russian Comfortable running calls with both technical and business teams Not a fit if your background is primarily marketing, growth, sales, or content. Nice to have Commercial real estate, lending, fintech or insurance QA experience SQL or basic Python Document-heavy B2B software How we work AI tools are paid for and expected to be used daily . Small teams, short release cycles, direct access to customers, and a lot of autonomy. You’ll be the connection point between the European development team and the US business team. Employment: [Contract / EOR / Full-time] Benefits: [Benefits, equipment budget, learning budget]