AI Product Delivery Manager

(5 переглядів)

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 Delivery 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:
10:0012:00 Kyiv time development team, MonFri
19:0021:00 Kyiv time US team, MonFri

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]