Job Description
<h3>📋 Description</h3> • 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. <h3>🎯 Requirements</h3> • 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.