Head of Data Science & AI

Job Description: • About the Role: • CloudZero is pioneering the Cloud Cost Intelligence category, building the world's first Cloud Economics Operating System. • This is a strategic scale-up role. • You'll take our AI research and experimentation to the next level, transforming early prototypes into production systems that define the market. • You'll tackle genuinely hard problems that will define the future of FinOps: • Real-time Unit Economics: Calculate per-unit costs across millions of transactions with dynamic efficiency management. • Predictive Cost Intelligence: Predict and prevent cost efficiency breaches before they impact business. • Multi-Cloud Attribution: Accurately attribute cloud spend across complex systems using probabilistic modeling. • Autonomous Optimization: Build AI agents that make safe infrastructure changes within business constraints. • Responsibilities: • Technical Leadership & Hands-On Development • Lead by example: spend 60-70% of your time building, architecting, and solving technical problems. • Prototype novel ML/AI research ideas, and help translate them into production-ready systems that handle enterprise scale. • Build AI-powered features (in partnership with product/engineering teams) for cost optimization, anomaly detection, and predictive analytics. • People Leadership & Cross-Functional Collaboration • Hire and develop a small team of AI/ML specialists • Provide hands-on coaching and technical guidance to team members • Foster a culture of innovation, continuous learning, and customer focus • Lead by example in technical decision-making and problem-solving approach • Partner closely with engineering teams to embed AI throughout the platform • Translate complex AI concepts into business value for executives and customers • Drive AI strategy alignment with company vision and product roadmap • Represent CloudZero's AI capabilities in customer conversations and industry events. Requirements: • 8+ years in Data Science or ML Engineering at high-growth SaaS companies, building and deploying impactful production systems. • Holds a degree in Computer Science, Statistics, or a related technical field. • Hands-on technical leader with experience mentoring, coaching, and hiring data and ML talent. • Fluent across the modern data science stack — data pipelines, modeling, deployment, and monitoring. • Proven experience with time series modeling, forecasting, and anomaly detection systems. • Skilled in Python and comfortable with cloud ML tools like SageMaker, Bedrock, and related infrastructure. • Experience integrating GenAI/LLM systems into production use cases, with a realistic understanding of their strengths and challenges. • Excellent communicator — able to explain technical concepts clearly to non-technical and executive stakeholders. • Pragmatic and impact-driven — prioritizes simplicity, customer value, and speed over complexity. • Stays current with research but thrives in environments where innovation translates quickly into customer outcomes. Benefits: Apply tot his job Apply To this Job