Manager Field Application Engineering (Performance)
Speedata is modernizing analytics infrastructure with the first purpose-built ASIC processor, the Analytics Processing Unit (APU), for analytics and AI data workloads. Delivering up to 100x faster Apache Spark performance while cutting infrastructure TCO by 90%, the APU executes analytics operations directly in silicon with seamless integration and no code changes. For more information, visit www.speedata.io.
We are seeking a Manager Field Application Engineering (Performance) to lead this team. This role owns critical technical engagements with customers, drives deep troubleshooting across complex systems, and sets the execution standards for deploying Speedata’s APU at scale.
What You’ll Bring
7+ years of hands-on experience in DevOps, SRE, performance engineering, HPC, or distributed systems.
Strong Linux expertise, including networking, filesystems, kernel behavior, process management, and resource isolation.
Proven ability to troubleshoot complex issues across hardware, drivers, OS, container layers, networking, and distributed compute systems.
Experience deploying and operating clusters, observability stacks, and automation / CI pipelines (Bash, Python, Ansible, etc.).
Familiarity with Spark or other large-scale data processing environments; experience with accelerators (GPU, FPGA, custom silicon) is a strong plus.
Demonstrated leadership experience: mentoring engineers, owning priorities, and working directly with enterprise customers.
High ownership mindset, strong analytical thinking, and comfort working in a fast-moving deep-tech startup.
What You’ll Do
Lead a high-caliber team responsible for running customer POCs, performance benchmarks, and system validations.
Design, deploy, and optimize distributed systems across Linux, networking, storage, and Spark environments.
Own technical escalations and perform deep-dive debugging across compute, memory, disk, and network layers.
Build automation, internal tooling, and reproducible workflows for cluster setup, monitoring, and performance testing.
Partner closely with R&D to surface bugs, performance gaps, and architectural insights from real customer workloads.
Set technical standards and best practices for Field Engineering globally, including documentation, methodologies, and troubleshooting playbooks.
Support Sales and regional Field Engineers with enablement, technical guidance, and hands-on assistance in complex engagements.
Mentor and develop the FAE team, fostering a culture of system-level thinking, rigor, and operational excellence.