SpaceQuant · Europe ·
Owns the full delivery cycle (requirements → development → QA → release) for AI-heavy commercial real estate lending software, acting as the bridge between a European dev team and a US business team. Builds AI-agent workflows that generate tickets, docs and test plans, and verifies outputs using Jira, Confluence, Figma and tools like Claude Code/MCP.
Motor Platform · Lane Cove, Sydney NSW
IFS · Palo Alto, California, us
Proactive Appointments · Scotland
Construct Limited · Lavender, Central Region
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:
10:00–12:00 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]
Tequity · Bangalore North, India