• Lead and grow a team of engineers, owning performance management, coaching, and day-to-day people leadership • Build a high-trust team culture where engineers feel supported, challenged, and empowered to do their best work • Run a strong operating cadence (1:1s, feedback loops, goal-setting, and career development) to help engineers grow their skills and impact • Own prioritization and execution for your team, partnering closely with Product, Implementation, and/or Success to balance scope, quality, and delivery timelines • Drive predictable delivery by identifying risks early, aligning stakeholders, and adjusting scope or sequencing when needed • Coach technical decision-making through code reviews, technical discussions, and architectural trade-offs (without being the primary IC) • Raise the bar on how we build by improving engineering process and quality systems (planning, incident follow-up, root-cause analysis, documentation, and execution hygiene) • Partner with leadership and recruiting on hiring and onboarding, helping interview, close, and ramp up new engineers while maintaining a high bar for talent and culture

• Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products. • Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale. • Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity. • Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects. • Work across the engineering organization and with internal and external partners. • Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands. • Lead technical decisions, projects, and roadmaps within the Lakehouse Analytics, Analytics Engineering and Privacy Engineering teams, shaping Affirm’s strategy for managing and serving orchestration workloads. • Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations. • In collaboration with tech leads, develop a multi year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs. • Guide, tutor, and aid in the professional growth of junior and senior engineers within the team.

• Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products. • Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale. • Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity. • Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects. • Work across the engineering organization and with internal and external partners. • Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands. • Lead technical decisions, projects, and roadmaps within the Lakehouse Analytics, Analytics Engineering and Privacy Engineering teams, shaping Affirm’s strategy for managing and serving orchestration workloads. • Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations. • In collaboration with tech leads, develop a multi year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs. • Guide, tutor, and aid in the professional growth of junior and senior engineers within the team.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for an Engineering Manager, Datacenter Network Engineering to lead the team responsible for designing, deploying, and operating Runpod’s global datacenter and backbone network. This role manages engineers working on L2/L3 fabrics, high-performance GPU networking, and global WAN connectivity that underpin our AI platform. You will lead execution across multiple regions and vendors, while setting technical direction for network architecture that supports massive east-west traffic, low-latency GPU collectives, and secure multi-tenant isolation. This role is hands-on at the architectural level, while focused on team leadership, operational excellence, and scalability. Responsibilities - Lead the Datacenter Networking Team: - Manage and grow a team of network engineers responsible for datacenter fabrics, interconnects, and global WAN connectivity. - Provide mentorship, technical guidance, and clear ownership boundaries. - Own Datacenter Network Architecture: - Define and evolve network designs for GPU-heavy clusters, including spine-leaf topologies, ECMP routing, and high-bandwidth east-west traffic patterns. - High-Performance GPU Networking: - Oversee design and operation of InfiniBand and RoCE-based fabrics supporting distributed training and inference workloads. - Ensure performance, loss characteristics, and congestion control meet AI workload requirements. - Encapsulation & Overlay Protocols: - Guide implementation and operations of encapsulation technologies such as VXLAN, EVPN, Geneve, or similar, enabling scalable multi-tenant isolation and flexible network provisioning. - Global WAN & Backbone Connectivity: - Lead strategy and execution for global WAN connectivity, including private backbone links, IX connectivity, and hybrid connectivity with cloud providers and partners. - Reliability & Operations: - Establish operational best practices for monitoring, capacity planning, change management, incident response, and post-mortems across the network stack. - Cross-Functional Collaboration: - Partner closely with Infrastructure, SRE, Hardware, and Product Engineering teams to ensure network capabilities align with platform and customer requirements. - Vendor & Partner Management: - Work with hardware vendors, colocation providers, and transit partners on network design, procurement, deployment timelines, and escalations. - Security & Segmentation: - Ensure network designs support secure isolation, DDoS resilience, and compliance requirements without compromising performance. Qualifications - 3+ years managing network or infrastructure engineering teams, with experience scaling teams and systems in production environments. - 8+ years designing and operating large-scale datacenter networks, including spine-leaf architectures, BGP-based routing, and high-throughput fabrics. - Strong hands-on experience with VXLAN/EVPN or equivalent encapsulation protocols, including control-plane and data-plane considerations. - Proven experience with InfiniBand and/or RoCE, including congestion management, lossless Ethernet concepts, and performance tuning for GPU workloads. - Deep familiarity with global WAN technologies, including private backbone design, inter-region connectivity, routing policy, and traffic engineering. - Comfortable working with Linux-based systems, network operating systems, and automation tooling. - Strong background in network observability, incident management, capacity forecasting, and change control. - Clear written and verbal communication skills, with the ability to align stakeholders and lead teams through complex technical challenges. - Successful completion of a background check. Preferred Qualifications - Experience operating networks for GPU clusters, HPC environments, or AI/ML platforms. - Familiarity with RDMA tuning, NCCL traffic patterns, and distributed training communication models. - Experience with automation frameworks and network-as-code (e.g., Terraform, Ansible, internal tooling). - Background in multi-region or multi-cloud networking architectures. - Experience working in high-growth or hyperscale infrastructure environments. Benefits - The competitive base pay for this position ranges from ($150,000 - $240,000). - Meaningful equity in a fast-growing company — everyone on the team receives stock options. - Generous medical, dental & vision plans — we cover 100% for all employees and partial for dependents. - Flexible PTO - take the time you need to recharge. - Most roles are remote work first with an inclusive, collaborative teams utilizing Slack as the main form of internal communication. - Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.