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Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
This position represents Prompt Security, our comprehensive GenAI security platform, helping enterprise organizations safely and efficiently adopt GenAI. The company was recently acquired , the AI cybersecurity leader, to further advance its Generative AI and Agentic AI security strategy.
we are seeking a Sales Engineer to join our EMEA go-to-market team. You'll be navigating an exciting landscape where innovation is constant, and the ability to adapt and iterate quickly is not just an advantage-it's a necessity. In this role, you will be instrumental in driving technical pre-sales activities, helping customers understand and implement our GenAI security solutions across various use cases. We're looking for someone who thrives in fast-paced environments, someone eager to tackle new challenges and pivot with ease. This is more than a job; it's a journey into the future of cybersecurity, offering unparalleled opportunities for growth, learning, and impact.

Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across our B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across our products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.