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Neurons Lab

AI Adoption Manager

Poland · Portugal · Cyprus · Spain Madrid · Serbia · Hungary · Spain · Malta · Georgia · Slovakia · Latvia · Lithuania · Greece · Albania · Czech Republic · Moldova · Ukraine · Bulgaria · Estonia · Macedonia · Romania

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hirly's read of this role

Seniority
Lead / management
Countries
PL, PT, CY, ES, RS, HU, MT, US, SK, LV, LT, GR, AL, CZ, MD, UA, BG, EE, MK, RO
Work mode
Remote-friendly
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Objective

Lead AI adoption across the client teams — from first assessment, through workshops and hands-on enablement, to self-sufficient daily AI use, with adoption reported as measured business impact.

About the project

Neurons Lab delivers AI education and adoption programs for enterprise clients, mainly in financial services (banking, insurance, and capital markets). This role leads those programs inside the customer's own teams — taking each new client from first assessment, through workshops and hands-on enablement, to confident daily AI use.

The AI Adoption Manager is the face of the program with the client. Embedded in the customer's business teams, the role runs the full education and adoption cycle and carries the customer success side of the engagement: building the relationship, keeping adoption healthy, reporting outcomes to client stakeholders, and surfacing where the account can grow. Because most clients operate in regulated financial-services environments, every program runs inside the client's data-governance, compliance, and responsible-AI guardrails.

KPIs

Post-workshop AI adoption per team (primary KPI)

Measured business impact per team — time saved, cycle-time, or effort reduced against a baseline captured before enablement

Number of active champions identified, developed, and made visible to client leadership

Cadence adherence — recurring sessions held on rhythm, response times measured in hours, not days

Teams released as self-sufficient; qualified opportunities passed to the technical tracks

Engagement growth — follow-up workshops, recurring enablement, new scopes originating from business team engagement

Areas of responsibility

Assess and prioritize — map each team's workflows and current AI usage, turn their real pain points into a prioritized enablement plan, and rule out use cases where the payoff isn't real

Deliver enablement end to end — design and run workshops (personally and with external trainers) that target each team's own use cases and produce walk-away skills, prompts, and tools they use the next day

Build reusable assets — maintain a shared library of approved prompts, skills, and templates teams can reuse without you in the room

Grow champions and adoption — develop champions inside each team, surface and remove adoption blockers, and hold a steady cadence with the business teams

Keep it inside the guardrails — align every plan with the client's data-governance, acceptable-use, and responsible-AI policies, working with IT, security, and legal

Measure and report value — baseline each team, track adoption against targets, and report progress, risks, and ROI to client sponsors

Drive to self-sufficiency and expansion — hand teams over once they sustain AI use on their own, pass engineering-grade work to the technical track, and surface new scopes for the account

Skills

Workshop and training design and delivery, with strong live facilitation

Change management and adoption, grounded in instructional design and adult learning

Practical, daily AI fluency (Claude, ChatGPT, agentic workflows, prompt engineering) and the ability to rebuild an expert's workflow as an AI-assisted one for non-technical users

Customer success — trusted client relationships, healthy adoption, and usage turned into demonstrated value

Strategic program design and clear executive, cross-functional communication, with comfort in ambiguity

Knowledge

Modern AI tools, agentic workflows, and prompt engineering, applied practically and daily

Change management and adoption psychology — what makes change stick from within

AI governance and responsible-use frameworks — data classification, acceptable-use, and responsible-AI policy, enough to keep enablement inside client guardrails

Enablement/training business or consulting background

Experience

5+ years in change management, enablement, digital-transformation consulting, or enterprise software rollout, including at least one full-cycle deployment

Top-tier management-consulting experience (e.g. McKinsey, BCG, Bain) is a strong plus

Customer success experience strongly desired — owning client relationships, adoption health, and value realization

Hands-on experience driving technology or process adoption inside organizations

Track record designing and delivering workshops/training sessions personally

Experience running assessments, feedback sessions, and executive updates

Fluent English required

What We Offer

Competitive compensation — a monthly base plus expansion revenue upside

Fully remote — outcomes over attendance

Unlimited PTO

Full-time contractor engagement with a fast-growing AI consultancy at the forefront of enterprise transformation

Original posting on Neurons Lab's site ↗

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