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]