AI Delivery Manager

About Spaceplace

Spaceplace builds enterprise intelligence: AI that understands how a company runs and does real work inside it. Not a chatbot on a website, and not another dashboard.

We connect a company’s data, context and operations, then put them to work in two ways:

• Agentic workflows: agents run a defined business process end to end, from the first customer message to a qualified lead, a booked appointment, a routed request or an updated CRM record. People approve the steps that matter.

• Role workspaces: a head of sales, a property manager or a clinic administrator gets a workspace that knows their clients, documents and rules, and helps them decide and act.

Both run on one base: the company’s own systems and knowledge, a memory that grows with every interaction, and rules every action has to pass. We work with real estate developers, retail chains and clinics.

About the role

As AI Delivery Manager, you take client companies from signed contract to working AI inside their business, and you run several deployments at the same time. A typical deployment takes 5 to 10 weeks: discovery and scope, build and configuration, a pilot with the client’s own staff, go-live, then tuning.

What you’ll do

• Run discovery with the client’s owners, managers and front-line staff to learn how sales, service and operations really work

• Collect and prepare the sources: documents, price lists, CRM data, call recordings and policies, with personal data anonymised

• Map roles, processes, data and rules, and turn them into the specs and test cases engineers build from

• Agree the scope with the client in writing, and handle every change through a short written change note

• Configure agents and role workspaces, load knowledge and rules, and wire integrations with CRM, ERP, telephony and messengers together with engineers

• Call the APIs and read the webhook payloads yourself, so you know an integration works before anyone promises a date

• Check quality and cost on test runs before the client sees anything

• Run pilot testing with the client’s staff on real cases, and turn their feedback into fixes

• Own the go-live: acceptance, handover, rollout to more teams, and training for managers and administrators

• Send every client a short written status each week, and keep plans and dates current across several deployments

• Report what changed for the client after launch, measured against how the work was done before

• Keep the delivery playbook current, and bring what you learn in the field back to product

What you’re accountable for

• Plans and dates the client can rely on

• Scope: what was signed is what we build, and every change is written down

• Promises in writing: anything agreed on a call ends up in a document

• Blockers raised the day you see them, with a proposed way forward

• Careful handling of client data

What success looks like

• After 30 days: you know every stage of a deployment, and one client already gets their weekly status from you

• After 60 days: you run a deployment from discovery, and its spec and scope are agreed on the planned date

• After 90 days: you run two to three deployments in parallel and have taken at least one to go-live

Who you are

Must have:

• 4+ years in delivery, implementation, business analysis, customer success or consulting

• You have shipped something with LLMs, even a small thing

• You can call an API, read a webhook payload and write a short script

• English C1 or higher, Ukrainian native

• Based in Europe or Ukraine

Nice to have:

• Hands-on work with CRMs, IP telephony or messenger APIs

• Experience writing evaluations or test suites for LLM output

• Knowledge of real estate, healthcare or retail operations

• Experience in an early-stage company

How you work:

• You write clearly and put agreements in writing

• You check before you promise, and you say no with a reason and an alternative

• You stay calm with several clients at once, and you know what to do first

What we offer

• B2B or GIG contract, full time, fully remote; most client work runs on CET time

• An equity conversation after 6 months

• Start in November 2026

• AI deployments end to end, across several industries, from the first client meeting to measured results

• Daily work with the founders, where what you learn in the field shapes the product

How to apply

Apply here or to: [email protected]

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