- Set the long-term technical vision and architecture for backend systems powering experimentation, personalization, analytics, and conversion optimization.
- Architect and evolve high-throughput distributed systems and APIs that process visitor and event data with low latency and high availability.
- Lead foundational platform investments and data infrastructure that unlock future product capabilities.
- Partner with data scientists, ML engineers, and product engineers to productionize statistical and AI/ML capabilities in real-time backend infrastructure.
- Lead complex, multi-team, multi-quarter technical initiatives from problem framing and strategy through implementation, launch, and operational ownership.
- Influence engineering roadmaps and technical strategy across the Convert pillar and partner pillars.
- Raise engineering standards through architecture review, technical standards, observability, and operational excellence practices.
- Mentor and grow staff and senior engineers.
- Translate product vision into concrete technical problems and execution plans.
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