Building AI/ML infrastructure at scale with product-first thinking.

Responsible for product suite maintained across 25+ engineers for the Compute, Service Infrastructure and Process Orchestration Workflow teams. Managed product road map and engineering engagements for the Kubernetes platform hosting over 4,000 services and 1,000,000+ of batch jobs a week, supporting data ingestion, low latency live trading, and modeling teams focusing on developer experience, efficiency and reliability. Collaborated with engineering on technical specifications to enable efficient, scalable and reliable compute to support modelling engineering teams and simulations. Secured alignment from 10+ business units across engineering, product, and modeling teams on yearly platform strategy, resulting in a unified road map.

Executed comprehensive stakeholder engagement for the Kubernetes product roadmap, open source involvement and shipping of features through agile development for the Kubernetes team; gathering insights from 100+ enterprise users. Created multiple new products from identified problems, ultimately bringing new products from idea to creation and ultimately go-to-market which included sales/technical enablement, developer advocacy and blog posts. Collaborated with engineering on technical specifications for marquee features such as the Kong Gateway Operator, Gateway API support and Kubernetes support for Kong's SaaS product.

Led strategic planning for the Marketplace team, owning the product strategy, road map and shipping of features, through creation of product specifications and agile development. Grew the partner integration ecosystem by overseeing the on-boarding and development of 80+ technology partner contributions from product ideation phase to release, including go-to-market activities. Brought the Datadog Marketplace from ideation to go-to-market, launching an ecosystem of partner created integrations and products that grew from $0 to > $1.5m ARR.