Sr. Engineering Manager, Cloud
Leads Cloud engineering team building Redpanda's BYOC, Serverless, and Agentic Data Plane products. Manages delivery, operations, hiring, and coaching with 7+ years engineering and 3+ years management experience in cloud infrastructure.
Responsibilities
- Lead and manage a team of engineers working on Redpanda Cloud, including Agentic Data Plane efforts
- Own end-to-end delivery for your team's roadmap: scoping, prioritisation, execution, and on-time, high-quality launches
- Maintain a high bar for operational excellence, including incident response, on-call health, SLOs, and day-2 operations
- Provide regular career development, coaching, and performance feedback that helps engineers level up
- Hire, onboard, and retain top-tier engineers; participate actively in interview loops and calibrations
- Partner with Product Management to shape the team's roadmap and translate product priorities into clear engineering plans
- Surface risks, dependencies, and trade-offs early
- Be data driven to identify what's working and where to invest
- Collaborate with the Customer Success and Solutions Engineering to unblock customers and prioritise our roadmap
Requirements
- 7+ years of experience in software engineering, including building and operating enterprise-grade SaaS platforms
- 3+ years of experience managing highly technical engineering teams, with a track record of delivery
- Expertise in cloud infrastructure and operations, with hands-on experience in public clouds (AWS/GCP/Azure), Kubernetes, and distributed systems
- Familiarity with agentic AI processes, and AI-assisted software development lifecycles
- Experience translating product priorities into team plans and delivering predictably against them
- Eagerness to thrive in a fast growing, dynamic environment and comfortable working remotely with a distributed team
- Strong verbal and written communication skills and demonstrated technical leadership
- A strong sense of empathy for both customers and teammates, and a commitment to building high-trust teams
Nice to Have
- Golang proficiency or recent hands-on technical experience
- Expertise in Linux systems used to run and operate production-grade services
- Hands-on experience with data streaming platforms, AI/ML infrastructure, databases, or distributed storage systems at scale
- Experience enabling teams to adopt AI code generation tools in ways that measurably improve velocity while maintaining quality
Compensation
U.S. base salary range for this role is $240,000 - $285,000 (CA, NY, WA) and $230,000 - $270,000 (other US locations).
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