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William Theisinger

Freelance CTO with more than 12+ years in IT
  • 12+ years
  • Los Angeles
  • Hourly, Full-time

Full stack technology leader that is as adept in design, architecture and development as in building and leading great teams. Currently focusing on machine learning, big data, full scale data platform architecture, data strategy and development, search, cloud architecture, systems integrations and early ventures.

Some details of my job history is mindful of the confidential nature of the roles. Specific data points and outcomes can be provided.


Chief Technology Officer [advisor]

BORN.COM - February 2020 - September 2020 (8 months)

Chief Technology Officer [advisor]

Snipvue - April 2017 - December 2019 (2 years 9 months)
.NET stack SOA & DDD

Chief Technology Officer


Primary Technologies: Go, JavaScript, Python, Java, VueJS, NodeJS, Google Cloud Services, .Net, C#, Angular, JQuery, Oracle, Delphi, Visual FoxPro,
MS SQL Server (2008 - 2016), MongoDB, Express, Terraform, Ruby, Sketch, Axure, Atlassian Suite (Confluence, Bitbucket, Bamboo, Service Desk, Fisheye, Crucible), Postgres, MySQL

• Tasked with digital transformation, platform modernization and consolidation, and the creation of an innovative technology culture to drive fast product development that ensures quick responses to changing market conditions at a reduced cost
• Managed full technology P&L
• Supported company growth by scaling platforms and undergoing optimization of system jobs
• Managed distributed CTO staff (~130+) which included leadership team, modern and legacy engineers, product management, project management, SRE, product design and research, data science, tech ops, NOC, desktop support, help-desk. Staff located in CA, TX and offshore.
• Hired companies software engineers, data scientists, product managers, project managers, product design, SRE, engineering leadership to drive modernization and consolidation effort
• Recruited and hired a product management team and implemented a technical product management development roadmap and framework
• Recruited and hired a technical project management team and implemented PJM process in an agile model leveraging Scrum, SAFe and Kanban methodologies
• Developed and presented re-platforming and consolidation project to board including project plan timeline and budget
• Developed architecture and project plan to move from on-prem data center to hybrid model of Cloud and colocation facility
• Design and architected full plan to migrate from legacy platform to modern platform, technologies and systems
• Evaluated colocation vendors and selected best fit for streamlining data center after a detailed technology, feature and cost evaluation

VP, Engineering

YP, The Real Yellow PagesĀ® - May 2012 - April 2017 (5 years)

Primary Technologies: Java, JavaScript, Python, Ember, NodeJS, Hadoop, HBase, Hive, SQL on Hadoop, Spark, Kafka, Vertica, Postgres, MySQL, Elasticsearch, SOLR, IBI, JQuery, MongoDB, Express, Atlassian Suite (Confluence, Bitbucket, Bamboo), Saltstack, SSIS, SSAS, SSRS

• Responsible for the full stack architecture, design and maintenance of Big Data platforming technology at YP which spanned data collection, processing and dissemination
• Managed platform technology P&L ( $12M - $8M Opex, $4M in Capex)
• Platform processed 3+ billion transactions daily that generated ~3TB of data a day
• Delivered a multi-channel data collection framework (Kafka) supporting streams of up to 20k messages/second.
• Responsible for the design, implementation and maintenance of 1,100 servers across 12 clusters with 99.99% uptime that never missed SLA and stored 7PB; ensured 24/7 data availability
• Managed staff of 60+ personnel
• Delivered 60 projects quarterly in an agile model leveraging a Scrum and Kanban methodology
• Processed and disseminated data from YP’s 24M business listings, 4,600 categories and 500K advertisers which included 50 disparate data sources supporting B2C and B2B reporting with 4k external concurrent users across web and mobile
• Collected click-stream and user data from 60MM MUV’s in a real-time data collection framework
• Supported SaaS mobile product development
• Enabled and supported product development such as online presence, social, display advertising and direct marketing
• Improved sales team productivity via marketing enablement and system integrations
• Developed a marketing data mart to support product marketing which empowered Data Scientists in providing propensity to buy models, account level churn scoring, account opportunity/expansion modeling, revenue yield, value delivery and acquisition and retention strategies

Executive Director, Engineering

Big Data Platform Computing

Primary Technologies: Java, JavaScript, Python, Ember, NodeJS, Hadoop, HBase, Hive, SQL on Hadoop, Spark, Kafka, Vertica, Postgres, MySQL, SOLR, IBI, JQuery, MongoDB, Express, Atlassian Suite (Confluence, Bitbucket, Bamboo), Saltstack, SSIS, SSAS, SSRS

• Accepted full time employment with ATTi after a contracting engagement focused on a complete build-out of an internal data processing platform
• Design, architecture and build out of the big data platform at AT&T interactive (later known as after ATTi divestiture)
• Designed, architected and implemented a system replatforming effort to move from a MSFT data platform to LWES data collection, Hadoop processing and Vertica
• Focused efforts on providing real-time platform capabilities for machine learning, whole scale reporting leveraging enterprise reporting systems and home grown applications
• Developed orchestration and workflow management systems
• Managed a team of 20+ engineers
• Created a data science team focused on data exploration and a goal of evangelizing data insights to the broader organization
• Resulted in full stack replacement with 99.99% uptime and no data loss


Surfliner Services, LLC

• Founders from Services/Yahoo! with multi-industry experience in technology, execution and strategy
• Clients include: Microsoft, AT&T,, idealab, PriceGrabber, Spotrunner, Done Right!
• Small boutique consultancy focused on big data enterprise architecture
and the real-time requirements of bidding platforms, data collection and processing, warehousing (CoE, security, governance, MDM, quality, modeling, design, integration), quantitative analytics (scorecards, KPIs, modeling, forecasting, benchmarks), reporting (internal/external) and data science
• Low-level engineering on all strata of the technology stack (architecture, subsystem design, consolidation, performance, tuning, optimization, system design, modeling, data mining, information retrieval)
• Strategic consulting ensuring focus on innovation, low TCO and time to delivery
• Worked with small to very large organizations helping them to address all pain points in the planning, design and implementation of large-scale data platforms, as well as their growth and reliability requirements

Senior Engineer, Business Intelligence and Data Engineering

Idealab - Perfect Market Technologies - March 2005 - October 2006 (1 year 8 months)

Engineer, Manager

Yahoo - 5 years 1 month

Manager, Business Information Group/SDS-Strategic Data Services May 2003 - March 2005 (1 year 11 months)
Pasadena, California

March 2000 - May 2003 (3 years 3 months)