Our client is a fast-scaling SaaS company operating at the forefront of fraud prevention, risk intelligence, and compliance technology. Their platform powers thousands of global businesses, enabling real-time fraud detection, risk reduction, and revenue protection through advanced data and AI capabilities.
With strong product-market fit and partnerships with leading digital brands, the company is now investing heavily in AI as it evolves into a truly AI-first organization.
- Rapidly growing, product-led scale-up with strong global traction
- Clear investment and roadmap toward AI-driven transformation
- High-impact domain (fraud, risk, compliance) with real-world complexity
- Strong engineering and data culture with a modern tech stack
- Opportunity to shape AI strategy at a company-wide level
The Role
This is a senior leadership position responsible for defining and executing the company’s AI strategy, while building and scaling a high-performing AI engineering and applied research function.
You will operate at the intersection of engineering, data science, and product, driving the adoption of advanced AI (including Generative AI) across core products and internal capabilities.
Key Responsibilities:
- Define and execute a company-wide AI strategy aligned with business growth
- Build and lead global AI engineering and applied AI research teams
- Develop scalable AI infrastructure, platforms, and governance frameworks
- Partner closely with Product and Engineering to embed AI into core offerings
- Lead adoption of cutting-edge AI/ML technologies to maintain competitive advantage
Your Experience
- Proven leadership experience in AI, ML, or data engineering within a scale-up or SaaS environment
- Strong background in machine learning and data science, with experience delivering AI solutions at scale
- Experience building and deploying Generative AI / LLM-based applications in cloud environments (AWS, GCP, or Azure)
- Track record of hiring, leading, and scaling high-performing technical teams
- Strong understanding of AI infrastructure, MLOps, and production systems
- Experience in SaaS products; exposure to identity, fraud, or risk systems is a plus
- Excellent communication skills, with the ability to influence both technical and non-technical stakeholders
Additional Information
Please note: the client is unable to offer visa sponsorship. Applicants must have US Citizenship or a Green Card.
