Neurons Lab
via Ashby
AI Business Analyst / Product Manager
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 16h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 90d ago
The date the source published, not the day we noticed it (2026-06-16). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Poland, Portugal, Slovenia, Spain, Hungary, Georgia, Slovakia, Latvia, Lithuania, Greece, Albania, Czechia, Bulgaria, Estonia, North Macedonia, Romania
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €78.5k–113.7k/yr
Middle 50% of 11 listings that do state pay — Product · all levels · EMEA · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 19d ago · last seen just now
The listing
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