Engineering Manager, Cloud (Remote)

Position Summary

Brain Corp runs one of the world's largest fleets of autonomous mobile robots, and the Cloud Platform is the nervous system that connects all of it. We're looking for an Engineering Manager to lead that team and the engineers who build it. This is the cloud backbone behind every Brain robot in the field: it ingests data from a global fleet, powers fleet operations and customer-facing applications, and is the platform every Brain product is built on.

Essential Job Functions

• Lead, mentor, and grow a team, fostering a culture of ownership, accountability, and high-quality engineering execution
• Drive high-performance results through regular coaching and performance reviews that support long-term career growth, and build the next layer of technical leadership within the team
• Own hiring, onboarding, and ramp-to-impact across the Cloud Platform team, building the bench through a period of senior hiring and growth
• Own roadmap execution, the sprint and release cadence, and on-time delivery of cloud platform capabilities across the Robot and Customer interfaces
• Define and execute the team roadmap aligned with company and Platform strategy, balancing near-term execution against long-term platform health
• Navigate high-level tradeoffs between competing priorities (performance, schedule, cost, reliability, scalability) to meet commitments without compromising quality
• Own production reliability, on-call rotation, and incident response, driving toward clear service-level objectives and durable fixes over short-term patches
• Own cloud cost management and efficiency, partnering with engineering and finance to keep platform spend aligned with the business
• Partner with the platform's Principal and Staff technical leaders on architecture and technical strategy, and make the call when a call is needed
• Directly contribute to development activities to achieve commitments as required, and perform other duties and projects as assigned

Education and/or Work Experience Requirements

• BS or MS in Computer Science, Software Engineering, or a related technical field
• 5+ years of professional software engineering experience in cloud, platform, or backend systems, including 2-3 years in a formal people-management role leading engineering teams
• Proven track record delivering and operating production cloud services at scale (reliability, on-call, cost), ideally in robotics, autonomous systems, IoT, or large-scale distributed platforms
• Strong experience with Agile methodologies and the full Software Development Life Cycle (SDLC)

Required Knowledge, Skills, Abilities, and Other Characteristics

• Proven ability to build, grow, and retain high-performing engineering teams, develop the next layer of leaders, and raise the delivery and operational bar
• Strong prioritization and trade-off decision-making across competing demands (performance, schedule, cost, reliability, scalability), with the judgment to set direction in a fast-moving, high-ownership, ambiguous environment
• Exceptional communication skills, capable of engaging and aligning both technical and executive audiences
• Strong cloud-platform technical foundation: distributed systems, cloud infrastructure, data pipelines, and APIs, with enough depth to lead architecture conversations and earn the trust of senior engineers (GCP preferred; AWS or Azure also valued)
• Working grounding in modern cloud-native patterns (containers, orchestration, infrastructure-as-code) and in operating production services, managed databases, and reliability practice (SLOs/SLIs, observability, on-call, cost)
• Ability to translate market and product needs into engineering priorities, and to influence architectural standards and best practices across the organization
• Demonstrated ability to build and lead teams using GenAI tooling and workflows, fostering a culture of GenAI adoption across the software development lifecycle (e.g., coding, debugging, testing, documentation) to improve engineering velocity, quality, and scalability while maintaining strong engineering rigor