Let’s start with the role

We are seeking an experienced Senior Finance Automation Analyst to design and deploy intelligent automation solutions within the Finance function. This role focuses on Robotic Process Automation (RPA), Agentic AI architectures, and end-to-end project delivery using platforms such as UiPath and modern AI frameworks (e.g., LLM orchestration, autonomous agents, decision engines).

The ideal candidate combines strong finance process knowledge with hands-on RPA development experience and practical exposure to AI-driven automation. You will play a key role in transforming financial operations by building scalable, secure, and high-impact automation solutions in close collaboration with Finance, IT, and Data teams.

• Design, develop, and maintain RPA solutions (e.g., UiPath) to automate core finance processes across R2R and P2P cycles.
  
  
• Build and enhance AI-driven automation use cases (e.g., intelligent agents, decision support tools) to improve finance operations.
  
  
• Monitor, troubleshoot, and optimize bots to ensure performance, reliability, and scalability.
  
  

• Partner with Finance stakeholders to identify inefficiencies and translate them into automation opportunities.
  
  
• Map, analyze, and redesign processes to enable standardization and automation-first ways of working.
  
  
• Contribute to continuous improvement initiatives, driving efficiency and reducing manual effort across finance workflows.
  
  

• Own end-to-end delivery of automation initiatives, including scoping, planning, execution, and post-implementation optimization.
  
  
• Manage stakeholders across Finance, IT, and Data, ensuring alignment on priorities, timelines, and expected outcomes.
  
  
• Track and report on key success metrics (e.g., ROI, efficiency gains, process accuracy).
  
  

What you will bring

• Bachelor’s degree in Finance, Accounting, Information Systems, Computer Science, or a related field.
  
  
• 5+ years of experience in finance transformation, automation, or process improvement roles.
  
  
• Hands-on experience with RPA tools (e.g., UiPath or similar), including development, deployment, and maintenance of bots.
  
  
• Solid understanding of finance processes (e.g., R2R, AP, reconciliations, reporting) and their automation potential.
  
  
• Basic to practical knowledge of AI/GenAI concepts and their application in business or finance environments.
  
  
• Proven ability to manage projects, prioritize effectively, and deliver solutions in a cross-functional environment.
  
  
• Strong analytical, problem-solving, and communication skills, with a continuous improvement mindset.
  
  
• Fluency in English (written and spoken).

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 💸 Competitive pay and bonus scheme
• 🏃A buddy will support you with your onboarding
• 👩‍⚕️ Private health insurance for you and your family
• 💰 Monthly meal allowance 
• ⭐Developmental 360° feedback framework
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support
• #LI-Hybrid
• #LI-DT1

Let’s start with the role

We are seeking a highly motivated and experienced Technical Project & Partner Manager to join our dynamic team. This role is ideal for a professional who excels at managing relationships with external development vendors and has a deep understanding of the technical project lifecycle within the iGaming industry. 

You will be the primary point of contact for our key partners, overseeing technology projects from initiation to completion and ensuring they are delivered on time, within budget, and according to specifications. In addition, you will manage relationships with external vendors, ensuring the delivery of high-quality services and products, optimizing vendor performance, and mitigating associated risks. The ideal candidate is a strategic thinker with excellent communication skills, a proven track record in project and vendor management, and a passion for the online gaming world.

As a Technical Project Manager, you will:

Vendor Management:

• Identify, evaluate, and select suitable vendors for IT projects and services.
• Negotiate contracts, service level agreements (SLAs), and pricing with vendors.
• Manage vendor relationships by ensuring clear communication, collaboration, and alignment with project goals.
• Monitor vendor performance against contractual obligations and SLAs.
• Evaluate vendor performance, identify areas for improvement, and address any performance issues.
• Manage vendor contracts, ensuring compliance with terms and conditions.
• Mitigate risks associated with vendor relationships.
• Ensure the delivery of required services or products within budget and timelines.
• Assess and onboard specialized AI technology partners, evaluating their agentic AI capabilities, integration readiness, and compliance with strict industry regulations.

Project Management:

• Define project scope, objectives, and deliverables in collaboration with internal and external stakeholders.
• Develop and manage detailed project plans, including timelines, budgets, and resource allocation.
• Lead and manage project teams, ensuring effective communication, collaboration, and performance.
• Monitor project progress, identify and resolve issues, perform escalations when necessary and track key performance indicators (KPIs).
• Ensure projects adhere to project management methodologies and best practices.
• Evaluate new technologies and make recommendations for their use in projects.
• Oversee the end-to-end lifecycle of AI projects—from proof-of-concept (PoC) to deployment—ensuring safety, data privacy, and alignment with organizational goals.
• Champion the adoption of AI-driven tools and agentic AI architectures (e.g., LLM-based autonomous agents) to automate repetitive workflows, optimize internal processes, and enhance overall delivery efficiency.

Leadership Responsibilities

• May be responsible for managing a team of project coordinators, technical staff, or vendor management specialists.
• Provide leadership, guidance, and mentorship to team members.
• Set performance expectations, provide improvement suggestions, conduct performance reviews, and support employee development.
• Foster a collaborative and results-oriented team environment.
• Manage team budgets and resources.

What you will bring

• Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field.
• Proven experience (typically 5+ years) in IT project management, with a strong understanding of project management methodologies (e.g., Agile, Waterfall).
• Demonstrated experience (typically 3+ years) in vendor management, including vendor selection, contract negotiation, and performance management.
• Technical proficiency in relevant IT areas, such as software development, infrastructure, or systems integration.
• Strong leadership, communication, and interpersonal skills.
• Excellent analytical, problem-solving, and decision-making abilities.
• Ability to manage multiple projects and priorities simultaneously.
• Strong negotiation and contract management skills.
• Ability to build and maintain effective relationships with internal stakeholders and external vendors.
• Knowledge of IT procurement processes and best practices.
• Practical experience or a strongly demonstrated interest in Artificial Intelligence, Large Language Models (LLMs), and emerging Agentic AI frameworks
• Familiarity with the unique challenges of AI/ML project lifecycles, including prompt engineering, model evaluation, and mitigating risks associated with autonomous system deployments
• A proactive approach to evaluating how cutting-edge technologies (like Generative AI) can solve traditional operational bottlenecks
• PMP or other relevant project management certification is a plus.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.

#LI-Hybrid

#LI-gs1

Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera’s AI Copilot uses industry and domain-specific LLMs to deliver human-like experiencs and auto- remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction. Aisera has received numerous recognitions, including Leader in the 2024 Gartner Magic Quadrant™ for Artificial Intelligence Applications in ITSM, FastCompany Best Workplaces for Innovators, Inc 5000 Award for Fastest Growth, Forbes AI50, EY Entrepreneur of the Year 2023, CNBC Upstart 100 Top Startup, Gartner Cool Vendor, Red Herring Top 100 Global Innovator, CIO Innovation Startup Award, CIO Review Top ITSM Solution, and Silicon Review 50 Most Admired Companies.

The Role
Take this opportunity to lead the design and development of advanced AI systems including intelligent agents, conversational interfaces, and retrieval-augmented generation (RAG) architectures and systems. Drive technical strategy and implementation for next-generation AI products.

Responsibilities

• Architect and build scalable agentic AI systems capable of autonomous decision-making and task execution
• Architect, design and optimize dialog agents with natural language understanding, context management, and multi-turn conversation capabilities
• Develop and optimize robust search and retrieval systems for RAG implementations, including vector databases, embedding strategies, and knowledge integration
• Take ownership of complex system design, from proof-of-concept to production deployment
• Establish best practices for AI model integration, prompt engineering, and system reliability
• Collaborate with product teams to translate business requirements into technical AI solutions
• Develop and maintain scalable, efficient data pipelines that automate the ingestion, transformation, and storage of data
• Identify performance bottlenecks and improve systems scalability.

Requirements

• At least 7 years in senior software engineering roles, with 2+ years as tech lead or architect 
• 2+ recent years professional work on AI or Search systems 
• Expertise in vector search, embedding models, or RAG system optimization
• Strong background in distributed systems, APIs, and cloud-native AI infrastructure
• Experience with AI frameworks (LangChain, LlamaIndex, etc.), and vector databases or information retrieval systems (preferably Elastic)
• Solid understanding of software development principles and architectural best practices.
• Professional experience with messaging systems such as Kafka, RabbitMQ, or similar technologies.
• Professional experience with cloud platforms such as AWS, GCP or Azure.
• Proficiency in using Docker, Kubernetes, or similar containerization and orchestration tools.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Preferred Qualifications (in order):

• Ph.D. in distributed systems, AI systems, or related area
• Familiarity with machine learning concepts and libraries (e.g., Pandas, NumPy, PyTorch).
• Experience with LLM integration, prompt engineering, and AI orchestration frameworks. 

This is a Greece-based, full-time, employee-status, fully remote position.  

Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.