Job Description

ScaleOps is the leader in real-time automated cloud resource management, helping enterprises revolutionize the way they manage cloud-native application infrastructures. Our platform dynamically allocates application resources, delivering up to 80% in cloud cost savings while boosting performance and eliminating manual intervention. With $80M+ in backing and over 50 global enterprise customers (including Wiz, SentinelOne, Orca Security, and Playtika), ScaleOps is scaling fast – and now, we are expanding our Research function to shape the future of AI-driven cloud infrastructure.

The Role

We are looking for a Head of Research to establish and lead ScaleOps’s research group. This is a strategic and hands-on leadership role for someone who thrives at the intersection of AI, infrastructure, and systems innovation You will be responsible for identifying high-impact research directions, validating cutting-edge technologies, and driving new approaches that can translate into long-term competitive advantage for ScaleOps.

This is not an academic position – but rather an opportunity to build a research function that directly shapes product and technology.

What You’ll Do

• Define and lead the company’s research agenda in AI, infrastructure, and distributed systems.
• Explore and evaluate new algorithms, architectures, and approaches relevant to large-scale AI workloads and cloud cost efficiency.
• Collaborate with product and engineering to translate research into real-world impact.
• Build and manage a small, high-caliber research team.
• Publish findings, represent ScaleOps in the AI/infra research community, and establish partnerships with academia and industry.
• Act as a thought leader to drive innovation across the company.

Requirements

What You’ll Bring

• 7+ years of experience in R&D, with at least 3 years in applied research leadership roles.
• Proven track record of driving research projects that turned into impactful products or technologies.
• Deep expertise in one or more of the following: distributed systems, AI infrastructure, cloud computing, performance optimization.
• Strong technical foundation (e.g., algorithms, systems design, data-intensive computing).
• Experience leading research teams or groups in fast-growing companies.
• Excellent communication skills and ability to bridge research with business impact.
• Passion for innovation, curiosity, and pushing the boundaries of what’s possible.