Partner with North America Enterprise sales leaders to set GTM strategy, quota and territory design, forecasting, and pipeline optimization. Drive adoption of tools/processes, lead executive deal reviews, provide performance reporting and cross-functional alignment to increase new ACV, renewals, and sales productivity.

Design and build scalable backend services and data pipelines to power the end-to-end ML lifecycle in AWS SageMaker Unified Studio. Own features from ideation to production, implement a medallion data architecture, ensure 99.9% SLO reliability with on-call responsibilities, drive self-service tooling and automation, and mentor engineers while collaborating with applied scientists, ML engineers, and security teams.

Design, implement, and optimize scalable web and distributed services. Build new features and improve existing ones, collaborate with product and ops, follow Agile processes, and mentor teammates to deliver high-performance SaaS solutions.