---
title: 'AI Business Analyst / Product Manager at Neurons Lab'
canonical: 'https://feeny.ai/job/ai-business-analyst-product-manager-neurons-lab-poland-r9fmkt8pj3d0'
type: 'job'
last_seen: '2026-10-13'
---

# AI Business Analyst / Product Manager at Neurons Lab

- **Company:** Neurons Lab
- **Location:** Poland
- **Employment:** part-time
- **Work type:** remote
- **Posted:** 2026-06-16
- **Last confirmed live:** 2026-10-13
- **Apply:** https://jobs.ashbyhq.com/neurons-lab.com/24977ace-b15c-48b1-b973-c2e715a43395

## Job description

Objective Identify and validate high-value AI opportunities, rapidly prototype solutions, and ensure implementations deliver measurable business outcomes and tangible ROI.

KPI

- Revenue/cost impact of implemented AI solutions
- Stakeholders' satisfaction with business case clarity and realization

Areas of Responsibility

- Lead Discovery Process and Validate AI Opportunities
- Facilitate stakeholder workshops to identify and prioritize high-impact AI use cases
- Develop business cases with clear ROI models and success metrics
- Build consensus among stakeholders on solution direction
- Map and Redesign Business Processes
- Document current workflows and pain points
- Design workflows with appropriate boundaries and controls for financial environments and Agentic AI systems
- Quantify expected business improvements
- Define AI Solution Requirements
- Translate business needs into clear technical requirements
- Create user stories and acceptance criteria
- Establish validation approaches for measuring success
- Create Solution Prototypes
- Build functional demonstrations using no-code/low-code tools
- Gather user feedback to refine concepts
- Develop prompt templates for financial use cases
- Implement AI Governance and Compliance
- Develop testing methodologies for AI systems in regulated environments
- Ensure alignment with financial regulations (e.g US SR 11-7, EU AI Act)
- Create documentation standards for model risk management
- Leverage Financial Services Industry (FSI) Ontologies
- Apply industry-standard financial ontologies (e.g. FIBO) to structure and ground data
- Design knowledge graph integrations to improve AI accuracy and compliance
- Validate ontology completeness and accuracy for financial applications
- Ensure Ongoing Business Alignment
- Manage stakeholder expectations throughout delivery
- Lead business review sessions
- Mitigate risks to value realization
- Stay Current on AI Capabilities
- Actively test and experiment with emerging AI technologies firsthand
- Evaluate new tools and platforms for business value
- Share relevant insights with stakeholders

## Skills

- Stakeholder management and workshop facilitation
- Business process analysis, requirements gathering, and documentation
- Project scoping, ROI modeling, and business case development
- LLM frameworks and prompt engineering for financial applications
- Hands-on AI tool experience, including no-code/low-code platforms
- Financial ontologies and graph databases (Neo4j, RDF/OWL)
- AI governance, testing, and validation in regulated environments

Traits

- Strategic business thinker who can identify valuable AI application opportunities
- Detail-oriented process analyst who can map complex workflows
- Technically curious with practical, hands-on AI knowledge
- Exceptional communicator who can translate between technical and business stakeholders
- Creative problem-solver able to rapidly prototype solutions
- Client-focused consultant who builds trust and drives business outcomes

## Experience

- 3-5+ years experience in business analysis, process improvement, or consulting
- Practical implementation experience with LLMs and generative AI
- Hands-on experience with one or more no-code/low-code platforms
- Hands-on experience with orchestration frameworks (LangChain, AutoGen) or knowledge graphs
- Demonstrated success in requirements gathering and stakeholder management
- Demonstrated success moving AI projects from proof-of-concept to production in regulated environments
- Experience with digital transformation or technology implementation projects
- Background in financial services with understanding of regulatory requirement

Terms & conditions B2B contract, full remote, can be part-time or full-time engagement. Time zone: Europe

## 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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