Conan Yang

Director of Engineering

Seattle, Washington, United States22 yrs 5 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • 17+ years leading large-scale data and AI platforms.
  • PhD in Computer Science specializing in GPU and CUDA algorithms.
  • Proven record in defining org-level strategies and building high-performing teams.
Stackforce AI infers this person is a SaaS expert with a strong focus on data-driven automation and AI technologies.

Contact

Skills

Core Skills

Ai AgentsLarge Language Models (llm)

Other Skills

Technical Product ManagementSoftware ArchitectureSoftware EngineeringProgram ManagementImage ProcessingSoftware Project ManagementComputer GraphicsProduct ManagementBig DataTelemetryCloud ComputingMobile ApplicationsArtificial Intelligence (AI)Business IntelligenceMachine Learning

About

17+ years leading large-scale data, intelligence, and infra platforms across Amazon, Salesforce, and Microsoft. PhD in Computer Science specializing in GPU and CUDA algorithms. Proven record defining org-level north-star strategies and building high-performing orgs that innovate through data- and AI-driven automation at scale. I lead by shaping and reshaping orgs with clarity, strong mechanisms, technical deep dives, and Leadership Principles including empathy — defining vision, aligning missions, and developing leaders who deliver customer-obsessed, scalable results.

Experience

Auger

Director, Data & AI Enablement Engineering

Jan 2026Present · 2 mos

  • Forward Deployed Engineering (FDE) team

Amazon

2 roles

Senior Software Development Manager, Autonomous Device Experience Platform

Promoted

Dec 2023Jan 2026 · 2 yrs 1 mo · On-site

  • Lead of Autonomous Endpoint eXperience (AEX), driving data telemetry- and intelligence- powered enterprise device management across:
  • (1) device identity backends for 4 Tier-1 services to ensure Amazonians can securely access enterprise services;
  • (2) a fleet management platform enabling safe, efficient device and software operations across Amazon endpoints;
  • (3) a data intelligence platform delivering 360° fleet telemetry, observability and tools to power above services plus 40+ orgs in Amazon.
  • These systems run at high availability and massive scale, processing billions of events daily.
  • Managed 4 teams (40 people) including 4 SDMs, 3 TPMs, and software/ data engineers. Defined org structure and charters, established mechanisms, developed and mentored high-performing engineering teams while ensuring operational excellence.
  • Spearheaded data- and AI- driven automation transformation of Amazon IT. Ideated and launched strategic cross-org initiatives including OneIT Data, OneIT App, Performance Guardian. Started accelerating AI transformation using LLMs, MCPs, context engine, and agent frameworks to enable autonomous, safe fleet management, as well as to remove bottlenecks throughout software operational excellence lifecycle.
AI AgentsLarge Language Models (LLM)

Senior Engineering Manager, Ads Data Infra

May 2022Dec 2023 · 1 yr 7 mos · On-site

  • Lead Ads Data Framework, the Amazon Ads shared data analytics infra platform consisting of 4 systems: Compute, Data, Dimensions, Streaming, used by software developers, data engineers and data scientists across dozens of teams in Amazon Ads. Focused on building an easy-to- use/ access/ customize/ expand/ interoperate framework to meet various business needs and the highest standards regarding data processing latency, billing accuracy and data quality, while ensuring operational excellence. These systems operate at high availability and massive scale: the Compute Infra runs millions of ETL and machine learning jobs with inter-pipeline orchestration processing tens of billions of events daily. The Dimensions Infra handles multi-million TPS.
  • The framework enables rapid assembling a cross-team and cross-pipeline data orchestration app, with rich data streams readiness semantics as triggers to dependency jobs, guarding e2e data latency and correctness SLAs at org level.
  • Managed an org of 3 teams with SDMs/ engineers/ Sr Leads/ Product Managers.
  • Reduced time for any developer to build and launch a new multi-data-pipeline orchestration app from days to hours.
  • Developed vision and business and architectural strategy with crowdsource model, achieving 40% new features being contributed by other teams.

Salesforce

Director of Software Engineering, Data Intelligence Platform

Aug 2017Apr 2022 · 4 yrs 8 mos · Greater Seattle Area

  • Director of Engineering, System Architect, Unified Intelligence Platform, the Salesforce data lake infra migrated from on-premise to cloud to ingest, transform, store, govern, compute, consume all internal data, enabling all Salesforce data analysts/ scientists/ engineers to drive insights. Brought it from 0 to 1. Authored UIP Vision and Blueprint. Driving areas including requirements, architectural design, planning, development, dependencies, vendors etc. Reviewed with execs including the co-founder/CTO, President and Chief Data Officer. Managing and growing the team to build the Platform.
  • AWS, GCP, Presto, Spark, Hive, Jupyter, Airflow, ETL, IAM, Security, Terraform ...
  • Director TPM, Salesforce data lake infra. Driving customer agility, resource capacity, tenant management.
  • Lead Salesforce Data Center Telemetry. Built big data systems to collect, monitor, analyze and optimize the trust, agility and cost for operating all our data centers globally. Owned vision, long range planning, architectural design. Launched Nerve Center, Coolan features etc.
  • Lead a dozen teams to build Salesforce Infrastructure Control Plane, a data-driven orchestration framework for automatic infra management. Owned vision, long range planning, driving architectural design. Launched core and network devices automation.

Futurewei technologies

Senior Big Data Architect

Nov 2016Aug 2017 · 9 mos · Greater Seattle Area

  • Lead 20 engineers to ship public big data products, including Data Pipeline Service and MapReduce Service Ops, while improving the architectural design of security, availability, scalability etc.
  • Designed features and architectures following major big data players.
  • Long term vision and roadmap planning with CTO.
  • Collaborated with research labs of University of Washington on AI projects.

Microsoft

3 roles

Program Manager II, Office Performance Telemetry

Promoted

Jul 2012Nov 2016 · 4 yrs 4 mos

  • Owned the performance of a dozen new Office Mobile apps (Word, Excel, PowerPoint, OneNote, Mail, Calendar) across Android/ iOS/ Windows platforms and Office 2016 from concept to release.
  • Built cloud big data systems that instruments, collects, reports and analyzes Office performance.
  • Designed and launched dozens of tools/services for performance automation, telemetry and analysis for Office apps.
  • Led a working group of 100+ engineers from partner teams to adopt our perf solutions and to share best practices.

Program Manager, SQL Server

Jul 2011Jul 2012 · 1 yr

  • Led a feature team of 11 to ship a new cloud-based service in SQL Azure Labs, from concept to release.
  • Owner of roadmap, user study, functional spec, threat modeling, scrums, capacity planning, release marketing, live site etc.

Software Developer for SQL Server Integration Services (SSIS)

Oct 2008Jul 2011 · 2 yrs 9 mos

  • Built SSIS Server for enterprise-level ETL, bringing it from concept to release in SQL Server 2012.
  • As 1 of the 4 founding developers, built the vertical stack of SSIS Server: Database/ T-SQL API/ C# API/ GUI/ Reports.
  • Received Microsoft Gold Star award.

Microsoft research asia (msra), hkust, ge etc

Visiting Scholar and Research Internships

Jan 2004Jan 2008 · 4 yrs

  • Visiting Scholar, Hong Kong University of Science and Technology (March 2007- March 2008), GPU QP project group
  • Researched on several projects on GPGPU for database, resulting in 10 publications including those on premier forums such as ACM TODS, ACM SIGMOD, ACM SIGPLAN, IEEE ICDE etc; introduced CUDA to the group and used CUDA since December 2006; implemented algorithms using both DirectX10/HLSL and CUDA.
  • Research Intern, Microsoft Research Asia (2005-2006)
  • Owned tensor approximation and error analysis for a SIGGRAPH paper project accepted in SIGGRAPH 2006;
  • Implemented algorithms in the SIGGRAPH 2005 paper "All-Frequency Interactive Relighting of Translucent Objects with Single and Multiple Scattering", a realistic rendering system tool.
  • Research Intern, Centrality Communications(2005), an international graphics chip company
  • Owned 50% work to design and write a fixed functional embedded GPU pipeline ("C Model") , including all modules such as clipping engine, triangle setup engine, rasterizer, texture; tested to make sure it passes 100% Microsoft's Display Compatibility Test.
  • Research Intern, Microsoft Research Asia (2004-2005)
  • Implemented algorithms in the SIGGRAPH 2004 paper "Textureshop", an image and vision system tool.
  • Research Intern, General Electric, Global Research Center (2004)
  • Co-authored a CAD tool for interactively editing 3D objects.

State key lab of cad&cg

PhD

Oct 2003Oct 2008 · 5 yrs · China

  • Published on premier forums such as ACM TODS, ACM SIGMOD, ACM SIGPLAN, IEEE ICDE.
  • Excellent Paper Award, ChinaGraph 2008.
  • Thesis: Database algorithms on GPUs, including multidimensional indexing, parallel queries, 3D visual analysis, 3D OLAP etc. (http://sites.google.com/site/ykcadcg/DOG_KeYangThesis.pdf)
  • 500+ citations on Google Scholar: https://scholar.google.com/citations?user=6PSu_-0AAAAJ . 17 articles, 2 books. More details see https://sites.google.com/site/ykcadcg/.
  • Developed high performance GPU parallel algorithms using CUDA, DirectX/HLSL and OpenGL/GLSL.
  • 3D realistic rendering and graphics algorithms:
  • Project member of an ACM SIGGRAPH paper.
  • Independently originated and implemented an algorithm and a technique to achieve interactive editing of translucent materials: "Editing Translucent Materials with Single Scattering under All-frequency Environments"​, 2006 April-September. The technique also integrates algorithms from 6 SIGGRAPH papers. Paper submission here:
  • https://sites.google.com/site/ykcadcg/SSE_tr.pdf?attredirects=0, code: https://github.com/ykcadcg/SingleScatteringEditing

Education

Zhejiang University

Doctor of Philosophy (Ph.D.) — Computer Science

Jan 2003Jan 2008

The Hong Kong University of Science and Technology

Visiting Scholar — Database and Graphics

Jan 2007Jan 2008

Zhejiang University

Bachelor — Computer Science

Jan 1999Jan 2003

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