Engineering Manager, Production Platform and Orchestration

<h3>Accountabilities</h3><li>Lead, coach, and grow a distributed engineering team focused on production platforms, fleet orchestration, reliability, and operational automation.</li><li>Establish clear ownership boundaries, develop emerging technical leaders, recruit effectively, and create an organization capable of scaling with the infrastructure footprint.</li><li>Translate customer and business priorities into a coherent engineering roadmap while protecting the team from reactive or unstructured operational demands.</li><li>Define the technical strategy for provisioning, deployment, environment lifecycle, fleet health, capacity, upgrades, rollback, and production control-plane capabilities.</li><li>Build reliable orchestration systems covering inventory, placement, configuration, health management, and multi-system operations across a heterogeneous accelerator environment.</li><li>Establish service-level objectives, operational metrics, alerting standards, and sustainable on-call practices for customer-facing production systems.</li><li>Own the operating cadence for incidents, escalations, postmortems, corrective actions, launch readiness, and reliability reviews.</li><li>Drive automation across deployment, upgrades, remediation, diagnostics, capacity planning, and common support workflows to prevent fleet growth from creating proportional operational overhead.</li><li>Partner with hardware and data center teams on rack bring-up, networking, firmware, sparing, failure handling, and infrastructure transitions.</li><li>Collaborate with serving/API, model enablement, and compiler/runtime teams to turn new platform capabilities into reliable, supportable production services.</li><li>Monitor fleet health, incident patterns, deployment reliability, operational toil, and critical failure points, using these insights to prioritize platform investments.</li><li>Establish durable operating practices and specialized ownership as the production organization grows across fleet orchestration, deployment lifecycle, observability, data center operations, and operational tooling.</li><h2>Requirements</h2><li>Demonstrated success managing and growing engineering teams responsible for distributed systems, cloud infrastructure, production platforms, SRE, or closely related technical domains.</li><li>Strong technical judgment across Linux systems, networking, orchestration, deployment systems, observability, and production reliability.</li><li>Proven ability to turn ambiguous operational challenges into clear roadmaps, explicit ownership models, and measurable engineering outcomes.</li><li>Experience recruiting, coaching, developing, and retaining engineers across experience levels while maintaining a high technical bar.</li><li>Ability to operate effectively across software, hardware, data center, customer, and business boundaries.</li><li>Excellent written and verbal communication skills, including the ability to make technical tradeoffs, priorities, risks, and decisions clear to both technical and executive stakeholders.</li><li>Hands-on leadership style with sufficient technical and operational depth to engage in architecture and production discussions without becoming a bottleneck.</li><li>Experience operating services with meaningful availability expectations, including on-call programs, incident management, root-cause analysis, and reliability planning.</li><li>Experience with control planes, schedulers, placement systems, capacity-management systems, or multi-rack orchestration is highly valuable.</li><li>Experience working with GPU, FPGA, ASIC, or other accelerator fleets in production is strongly preferred.</li><li>Background in data center deployment, hardware lifecycle management, firmware coordination, sparing/RMA processes, or production networking is advantageous.</li><li>Demonstrated ability to scale infrastructure from early deployments to multiple sites or hundreds of systems.</li><li>Experience with customer-facing infrastructure where engineering teams participate in production escalation and service readiness.</li><li>Proven automation experience that has materially reduced operational toil, incident frequency, recovery time, or manual intervention.</li><li>Ability to develop a sustainable production organization with clear specialties, healthy management spans, and scalable operational coverage.</li><h2>Benefits</h2><li>Base salary range of<strong>$200,000–$300,000</strong>, with flexibility based on experience, specialized expertise, qualifications, internal equity, and expected impact.</li><li>Competitive equity as part of the overall compensation package.</li><li>Fully company-paid medical, dental, and vision insurance for employees and dependents.</li><li>Company-paid life and disability insurance, with additional voluntary coverage options.</li><li>Supplemental hospital, critical illness, and accident insurance options.</li><li>Unlimited paid time off designed to support meaningful rest and flexibility.</li><li>13 paid company holidays.</li><li>Remote-first work culture with a company-provided computer and home-office setup.</li><li>401(k) plan with company matching, eligible from day one.</li><li>Opportunity to shape both the technology and organizational foundations of a rapidly growing AI infrastructure environment.</li><li>Visa transfer support for eligible H-1B candidates; new visa sponsorship is not available for this role.</li><li>Position is remote within the United States and requires current authorization to work in the U.S.</li>