Director of Engineering, Motive

• 12+ years in software/infrastructure engineering, including 5+ years leading Infra/SRE/ops orgs and managing managers with a strong sense for systems architecture
• Degree in Computer Science or equivalent
• Ability to collaborate and work effectively cross functionally with a strong sense of ownership
• Deep experience with AWS at scale (VPC, IAM, multi‑account, core services, observability, cost optimization)
• High AI fluency – able to evaluate, integrate, and govern LLM/AI platforms (AWS Bedrock, Anthropic/Claude, OpenAI) for engineering and ops
• Experience in interfacing with vendors, partners and cost governance
• Experience and strong understanding of databases and data platforms (OLTP and analytics), Data and ML/AI infrastructure
• Proven record running high‑reliability platforms (SLOs, incidents, on‑call, postmortems). Experience driving processes and programs to raise the bar and engineering excellence
• Clear communication skills and ability to manage escalations with CEO-level visibility
• Track record of running infrastructure as a product (roadmaps, stakeholder comms, adoption)

Desirable

• We are looking for a seasoned engineering leader who will lead the Core Infrastructure and Operations Engineering. You will be responsible for managing and mentoring a multi-functional team across SRE, Operations, Data & AI Platform, and Database Engineering
• You will own our cloud platform, run infrastructure as a product, and drive enterprise-grade reliability for mission‑critical systems. As an engineering leader you’ll be be called on to lead during critical moments and operate with executives of the company
• Lead and scale a high-performing engineering team responsible for core platform systems used across the company
• Define and drive multi-quarter platform initiatives that improve developer velocity, system reliability, and product leverage
• Partner closely with product and engineering leaders to evolve the platform as a product, balancing long-term architecture with near-term business needs
• Take ambiguous, high-impact problem areas (e.g., system scalability, reliability, platform abstractions) and turn them into clear execution plans
• Drive alignment across multiple teams working on complex, interdependent systems including internal platforms, infrastructure as well as cloud governance
• Raise the bar on engineering quality, operational excellence, and execution across the platform organization