---
title: 'AI Adoption Manager at Neurons Lab'
canonical: 'https://feeny.ai/job/ai-adoption-manager-neurons-lab-poland-mj7spezf1dsf'
type: 'job'
last_seen: '2026-09-22'
---

# AI Adoption Manager at Neurons Lab

- **Company:** Neurons Lab
- **Location:** Poland
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-18
- **Last confirmed live:** 2026-09-22
- **Apply:** https://jobs.ashbyhq.com/neurons-lab.com/aee655e0-5f1c-4020-83f3-0476dfac57c9

## Job description

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

## About Neurons Lab

## Company Overview
- **One-liner**: Neurons Lab is an AI engineering partner that helps Financial Services organizations adopt AI and build production-grade agentic systems, from initial use case definition through deployment and continuous delivery.
- **Entity Type**: Private (Bootstrapped / Self-funded boutique firm)
- **Headquarters**: London, United Kingdom (International House, 64 Nile Str, London, N1 7SR)
- **Founded**: 2019
- **Founders**: Igor Sydorenko (CEO & Co-Founder) and Alex Honchar (CTO & Co-Founder)

## Core Business
- **Primary industry/industries**: AI Engineering & Consulting, focused exclusively on Financial Services (banking, capital markets, wealth management, insurance)
- **Target customers**: B2B — Fortune 500 financial institutions, large banks, wealth management firms, insurance companies, and adjacent regulated industries
- **Mission or purpose statement**: To help Financial Services organizations move from AI-curious to AI-enabled by building capability and deploying systems across core workflows — translating AI ambition into secure, scalable solutions that deliver commercial value.

## Products & Services
- **Custom AI Agents**: Deploy custom AI agents from discovery through production, enabling automation across core workflows with full auditability, traceability, and governance controls built in from the start. Decision logic is aligned with business rules and policies, designed for high-value workflows where accuracy, compliance, and scale are critical.
- **AI Training & Enablement**: Build AI fluency across teams, from engineering to the C-suite, through hands-on training grounded in the client's core workflows. Separate tracks for business and technical teams, with governance, compliance, and risk embedded from the start.
- **Continuous AI Delivery**: Post-deployment support with Forward-Deployed Engineers working alongside client teams to ensure systems continue to evolve. Governance, monitoring, and performance tracking are built in from the start, with AI adoption compounding across workflows over time.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private, self-funded boutique firm)
- **Key Metric**: Total Funding — Not disclosed (bootstrapped); the team reports 100+ AI implementations since 2019, including with Fortune 500 firms, and a team of 50+ AI engineers, architects, and analysts across Europe
- **Notable Investors/Partners**: Anthropic (partner), AWS (Advanced Partner, among first 15 to achieve AWS GenAI Competency in Agentic AI), Google Cloud (Partner)
- **Growth Signals**: Achieved AWS AI Competency in the Agentic AI category; named clients include HSBC (aligned 50+ senior leaders on AI deployment and governance) and Visa (scaled marketing operations across 9+ markets with LLM-based content system); works with leading Asian banks on agentic AI assistants for relationship managers

## Competitive Advantages
- **FSI Domain Expertise**: Deep specialization in Financial Services (banking, capital markets, wealth management, insurance) means no translation layer between business intent and technical execution. Compliance, governance, and risk are built into system design from the start.
- **Embedded Co-Creation**: Unlike traditional consultancies, they co-create with client teams through embedded delivery, working alongside internal stakeholders to transfer knowledge and expand impact from inside the organization.
- **Accelerated Delivery**: Pre-built FSI agent components and proven deployment patterns allow delivery of working, production-grade systems in weeks rather than months.
- **Boutique Senior Teams**: Small, senior teams (50+ engineers/architects) rather than large junior-heavy teams, enabling high-quality, fast execution.

## Strategic Focus
- Expanding agentic AI adoption within regulated financial environments, focusing on production-grade systems that operate within existing governance frameworks
- Building on partnerships with Anthropic, AWS, and Google Cloud to deliver cutting-edge AI solutions
- Deepening presence in wealth management, retail/corporate banking, private banking, SME banking, and insurance segments
- Scaling through a two-tier talent model (Core Team + Talent Network) to remain agile while growing

## Why Work Here
- **Remote-first culture**: Work from anywhere, with flexible hours — "design your day" philosophy
- **Benefits**: Unlimited PTO, flexible schedule, work on projects incorporating the latest AI technology (Anthropic, AWS, GCP)
- **Culture**: 7 guiding principles including ownership, genuine connections, and leadership development. Small, senior teams with high autonomy and low bureaucracy
- **Growth**: Opportunity to work on cutting-edge agentic AI for Fortune 500 financial clients, with clear paths to leadership roles
- **Team structure**: Two collaboration options — Core Team (full-time, benefits-eligible) or Talent Network (project-based, minimum 0.33 FTE)
- **Interview process**: Fast, streamlined — application → screening interview → validation interview → qualification interview → reference check

## Sources
1. [neurons-lab.com](https://neurons-lab.com/about/)
2. [neurons-lab.com](https://neurons-lab.com/)
3. [neurons-lab.com](https://neurons-lab.com/careers/)
4. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/neurons-lab.com)
5. [neurons-lab.com](https://neurons-lab.com/careers/core-team/)

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