Senior Software Engineering Manager, Core Cloud Compute - AI

We are seeking a highly motivated Senior Software Engineering Manager to lead the engineering team that owns Rescale's core cloud computing orchestration engine. Their systems drive a large portion of daily customer platform usage, running jobs across multiple public clouds globally.

- Developing technical excellence and leadership among the members of a high-performing engineering team.

- Fostering effective use of AI-assisted software development across your team — from code agents and AI-augmented code review to automated operational tooling — and contribute to org-wide standards for how we integrate AI into the SDLC.

- Scaling and extending Rescale's core job orchestration engine, leveraging VM and Kubernetes-based compute for large scale engineering simulations, across multiple public cloud providers.

- Maintaining high operational expectations on core product — driving incident response, SLO discipline, and reduction of toil and incident load.

- Driving alignment across EPD (Engineering, Product and Design) and with customer-facing teams (Support, Solutions, Sales) on product delivery and technical architecture.

- Track record of leveling up engineers and building collaboration within the team.

- Evidence of strong end-to-end ownership of their own and their team's decisions and product charter, including the operational posture of a 24/7 production system.

- Ability to credibly engage in architecture discussions on scalable distributed systems — comfortable going head-to-head with senior and staff engineers on design trade-offs.

- Excited by AI-assisted development and pushes the boundaries of what's possible — using AI agents, code generation, and automation as multipliers for engineering velocity and quality.

- Deep collaboration with Product and ownership in product delivery.

- Effectively balances the needs of their team (and themselves) with that of the business, including reliability investment vs. product delivery.

- 3+ years experience managing high-performing Software Engineering teams of 3–10 people, including senior and staff ICs.

- Technically proficient as an IC, at least to Senior Engineer level, with demonstrated depth in scalable distributed systems.

- Hands-on experience using AI tools in the SDLC as well as driving AI adoption on a team previously in a sustainable manner.

- Production experience with at least one major cloud (AWS or Azure) at scale and familiarity with managed Kubernetes (EKS, AKS).

- Led the delivery of, at least one multi-quarter architectural change with quantifiable impact in the past.

- Experience managing a SaaS system powering a complex backend product, with meaningful on-call ownership, incident command, and SLO discipline.