Aug 2023 – Jul 2025 · 1 yr 11 mos · Seattle, Washington, United States · Hybrid

• I lead a large, multidisciplinary organization spanning engineering, product, AI, design, and research—building the real-time, AI-driven platforms that power Cruise’s autonomous ridehail business.
• My team is responsible for architecting complex systems at the intersection of autonomy, machine learning, and scalable infrastructure, including:
• Marketplace – AI-powered pricing, matching, and network optimization to balance supply and demand—core to the ridehail model and strategically critical, as seen at companies like Uber.
• AV Guidance Systems – Real-time routing, Remote Assistance (RA), connectivity, and market decisioning to continuously improve AV behavior and system performance.
• Fleet Management – AI-led automation, predictive monitoring, and operational intelligence for safe, scalable AV deployment.
• Consumer Platform and Experience – Delivering personalized, data-driven rider experiences across mobile, in-car, and digital interfaces.
• Data Science & ML Platforms – Foundational infrastructure and AI models that drive marketplace dynamics, fleet efficiency, and continuous learning.
• This work is central to Cruise’s mission. I assumed expanded leadership across Product, Design, and Research in addition to Engineering, guiding the company through a pivotal chapter and shaping its next wave of autonomous innovation.

May 2021 – Aug 2023 · 2 yrs 3 mos

• As SVP of Engineering, I led a large, global organization across engineering, data science, infrastructure, design, and technical product—reporting directly to the CEO. I was responsible for setting the company’s technical vision and driving end-to-end execution across Foursquare’s portfolio of AI-powered geospatial platforms.
• My teams built and scaled products used by millions of consumers, enterprises, and developers, including:
• Real-Time Consumer Apps – Location-aware mobile experiences powered by geospatial intelligence and real-time data pipelines.
• Advertising & Developer Platforms – Scalable APIs and AI-enhanced tools enabling partners to integrate precise location data into their apps, analytics, and targeting strategies.
• Enterprise Solutions – Data science-driven products that help companies optimize operations, customer engagement, and strategic planning through location intelligence.
• We combined large-scale distributed systems with machine learning and geospatial data to define how the world understands and uses location.

Apr 2017 – May 2021 · 4 yrs 1 mo · On-site

• As GM of AWS IoT, I led a rapidly scaling, global organization across engineering, product, and design—building from the ground up one of the largest and most critical platforms at AWS. I partnered closely with AWS senior leadership to define strategy, scale execution, and deliver foundational services for connected devices across industries.
• My organization developed AI-enabled, distributed systems that power mission-critical IoT workloads for startups, enterprises, and governments worldwide, including:
• IoT Connectivity & Messaging – Built AWS IoT Core, a secure, high-scale platform enabling real-time communication for billions of devices globally.
• Device Management – Delivered AWS IoT Device Management to help customers onboard, organize, and monitor massive device fleets.
• Security & Compliance – Launched AWS IoT Device Defender to safeguard fleets using ML-based threat detection and policy enforcement.
• Workflow Orchestration – Introduced AWS IoT ThingsGraph, a visual interface to build AI-powered IoT apps by linking cloud services and devices.
• These systems helped industries like manufacturing, energy, healthcare, and logistics drive automation, resilience, and intelligent operations. With a strong focus on reliability, scale, and customer impact, AWS IoT became a category-defining platform for real-time, AI-driven insights and action at the edge.

May 2013 – Apr 2017 · 3 yrs 11 mos

• I led a globally distributed, 300+ person engineering organization responsible for the end-to-end technology powering one of Amazon’s most strategic businesses. My teams built and operated real-time, AI-powered systems to acquire and retain customers, personalize experiences, and drive profitability at massive scale.
• Real-Time Machine Learning for Advertising & Personalization – Spearheaded Amazon’s first real-time ML systems for advertising and recommendations, delivering personalized benefit suggestions and targeted offers across billions of impressions daily.
• Customer Acquisition & Retention Optimization – Built predictive ML models to drive membership growth and retention through data-driven targeting of Prime benefits like fast shipping, streaming, and exclusive deals.
• Large-Scale Distributed Systems – Engineered low-latency, fault-tolerant systems integrated with Amazon’s core retail stack—search, catalog, checkout, fulfillment, and logistics—supporting global Prime operations.
• Cross-Device Customer Experiences – Delivered seamless, high-performance experiences across Amazon.com, Kindle, Fire devices, mobile apps, and more—serving over 6B daily impressions with strict SLA guarantees.
• This role required deep innovation under extreme scale, tight collaboration with senior Amazon leadership, and consistent delivery across a globally dispersed team. The systems we built fundamentally transformed how Amazon acquires, retains, and engages Prime members worldwide.

Dec 2009 – May 2013 · 3 yrs 5 mos

• Fulfillment by Amazon (FBA) is the backbone of Amazon’s marketplace, enabling millions of sellers to scale their businesses by leveraging Amazon’s unparalleled technology and logistics infrastructure. As a senior engineering leader, I managed a 100+ person organization responsible for building systems that ensure FBA operates seamlessly at global scale.
• At the core of my work was solving the hardest technical and operational challenges in e-commerce. My teams developed fault-tolerant, highly scalable systems across critical domains, including:
• Inbound and Inventory Management: Streamlining how sellers send and manage inventory at Amazon’s fulfillment centers, ensuring the right products are in the right place at the right time.
• Seller Capacity and Guidance: Delivering real-time insights and recommendations to help sellers maximize sales and minimize costs.
• Facility and Network-Wide Supply Chain Optimizations: Building algorithms to pool inventory across sellers, reducing fulfillment costs while accelerating delivery times for customers.
• Operational Reporting and Reimbursements: Creating platforms that provide sellers with performance metrics, inventory tracking and simplify the reimbursement process when issues arise.
• FBA systems operate at an unprecedented scale, processing millions of items and orders every hour. My teams tackled:
• Global Scalability: Ensuring systems could scale seamlessly with seasonal surges like Prime Day and Black Friday, maintaining 24/7 availability and low-latency performance.
• Optimization: Designing platforms to process terabytes of data daily, enabling predictive modeling and real-time decision-making for fulfillment and inventory allocation.
• Integration Across Ecosystems: Collaborating across Amazon’s vast network—integrating search, catalog, transportation, and customer experience systems to create a cohesive marketplace e-commerce platform.

Jun 2006 – Dec 2009 · 3 yrs 6 mos

• Built, engineered and scaled systems. Involved in all stages of software development: coming up with product ideas, planning long range product road maps, owning product backlog and planning sprints, system architecture and technical designs of varying granularity, reviewing code, and coding.

Jan 2004 – Jul 2006 · 2 yrs 6 mos · Vancouver

• Architected massively parallel (64/128 core) next-generation processors.