Business overview:

Galytix (GX) is delivering on the promise of AI.

GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect institution-specific rules.

GX ai assistants are designed for Individual Investors, Credit and Claims professionals. Our assistants are being used right now in global financial institutions. Proven, trusted, non-hallucinating, our assistants are empowering financial professionals and delivering 10x improvements by supporting them in their day-to-day tasks.

Detailed role description:

We seek an experienced Technical Delivery Lead who can seamlessly lead the Product delivery from the engineering perspective, and orchestrate the collaboration between our Data Engineering, Software Engineering, and AI teams. This role is a unique blend of technical leadership and people management, responsible for ensuring the smooth delivery of releases, resolving technical challenges, and connecting the dots between the teams to drive business outcomes.

The ideal candidate will not only understand the technical landscape of data-heavy environments but also possess exceptional leadership skills to inspire, motivate, and support high-performing teams. This role requires someone who is passionate about both people and technology, has a high drive, and can ensure alignment between business needs and technical delivery in a fast-paced environment.

The broad responsibilities would be as follows:

1. Team Orchestration & Collaboration
   • Oversee and synchronize the efforts of the Data Engineering, Software Engineering and AI teams, ensuring they work cohesively to deliver high-quality product and solutions.
   • Ensure smooth communication and collaboration between the teams to break down silos and ensure alignment.
   • Drive the integration of the teams' work into the larger organizational goals, ensuring that our releases and delivery processes are optimized and smooth.
2. Technical Understanding & Problem Solving
   • Gain a deep understanding of the technical challenges faced by the teams, providing guidance, troubleshooting, and support where needed.
   • Provide product architectural input and ensure it is delivered.
     • Ensure code quality and delivery standards.
     • Ensure QA and testing standards.
   • Act as a bridge between technical and non-technical stakeholders, translating business needs into technical objectives and vice versa.
   • Guide the teams in the design and delivery of a scalable and robust data platform, ensuring alignment with long-term business objectives.
3. Delivery & Process Improvement
   • Help drive the high-leverage project for our team and ensure our team engagement is high, and team, technical, and organizational blockers are resolved and milestones are delivered.
   • Drive continuous improvement in our development processes, ensuring efficiency, quality, and adaptability.
   • Oversee the implementation of best practices for software and data engineering, including testing, monitoring, and performance optimization.
4. People Leadership & Development
   • Foster a culture of high performance, ownership, accountability, data-based decisions collaboration, and innovation within both teams.
   • Mentor, motivate, and inspire engineers at all levels, helping them to grow both personally and professionally.
   • Manage team dynamics and create an environment where individuals can self-organize while still aligning with the project as well as broader company goals.
   • Take responsibility for performance monitoring, technical development, and career management of your team members.
5. Business Alignment
   • Align the technical teams' work with the strategic goals of the company, ensuring that business needs are at the core of technical decision-making.
   • Collaborate closely with other departments.
   • Collaborate closely also with Client Delivery Engineer, Product Owners to ensure the data platform supports business objectives and provides value.

Qualifications and experience:

• Degree in Mathematics, Computer Science, Engineering, or a related field.
• Proven experience leading data and software engineering teams in fast-paced, data-heavy environments (ideally FinTech or related fields).
• Engineering leadership in a Product set-up! (not suitable for someone who was just consulting or leading projects).
• Hands-on experience in data or software engineering with a solid grasp of technical challenges.
• Background in data platforms, architecture, or large-scale data setups.
• Hands-on experience with Python, C#, .NET, Azure DevOps.
• Engineering Practices: Familiarity with modern software practices, data pipelines, and system integration.
• Solution-oriented: Strong problem-solving skills, with the ability to guide teams through complex technical issues. Ability to own problems end-to-end, delegate effectively, and quickly learn new skills as needed.
• Leadership: Experience motivating, mentoring, and growing engineering teams in a collaborative, self-organizing, and agile environment. Skilled at fostering high performance while promoting an inclusive culture.
• Business Acumen: Ability to connect technical execution with business needs. Excellent at translating technical concepts into actionable business outcomes. Product mindset.

Valuable would be:

• Data & Infrastructure:
  • Understanding of data-related challenges such as data modelling, mapping, lineage, query performance, migrations, managing sensitive data, creating mock-ups and ensuring robust testing practices.
  • Understanding of data platforms, cloud infrastructure in AWS, Azure and GCP, modern DevOps, MLOps and GitOps practices, Kubernetes both on-Cloud and on-premises, and scalable systems.
• Polars, Apache Ray, Apache Iceberg, Clickhouse, PostgreSQL, S3).
• Understanding LLMs and serving multiple LLMs at scale with techniques such as quantisation, paged attention, and continuous batching.

Why you don’t want to miss this career opportunity:

• Be part of a groundbreaking AI project: Work on the world’s first personalised AI assistant for Financial Institutions, leveraging the latest advancements in Large Language Models (LLMs) to deliver unique data insights.
• Stay at the forefront of AI and data engineering: Join a team dedicated to staying on the leading edge of technology, providing you the opportunity to continuously learn and apply new skills in AI-driven data solutions.
• You will work closely with senior leaders who have individually served a number of CEOs in Fortune 100 companies globally.
• You can develop yourself and build skills and connections in the industry by working with top-tier Insurance and Banking clients on their mission-critical problems and deploying solutions integrated into their day-to-day workflows and processes.
• Grow with a diverse team that values professional development, with opportunities for formal training and informal knowledge sharing.
• Enjoy a hybrid work environment with in-person team gatherings, social events, and office perks like coffee, tea, and beer on Thursdays.
• Prague office is located in the city centre of Prague and in a building which is an architectural Czech masterpiece combining a modern building and a historical baroque - renaissance palace. Come and see the breathtaking view from our rooftop terrasse!
• We meet in person in the office, we celebrate birthdays, we go out for lunches or have bowling games and beer after work, while we preserve the hybrid way of working. Enjoy free coffee, tea, free beer on Thursdays, and other social events/happy hours with us!

Interested in learning more about what we’re building in Prague? Don’t hesitate to apply – we look forward to connecting with you!