Join   Log In
  • Startup Jobs
  • Recruit
  • Discover
  • Blog
    Jason Robinson

    Jason Robinson

    CTO, Steady // Founder, CEO Next Mountain // MSCS + PhD + MBA // ML

    CTO Palo Alto University Of Califor...
    nextmountain.co
    There was a problem loading your content.
     
    Experience
    Steady
    Steady
    CTO 2023 - Present (over 3 years)
    VP, Data Science and Engineering 2021 - 2023 (about 2 years)
    - Leading Data Science, Data Engineering, Data Operations, and Data Annotation teams
    - Helping build a better future for America's global workforce
    Next Mountain
    Next Mountain
    Founder, CEO 2016 - Present (about 10 years)
    - Built and released an exciting native mobile application for personal optimization
    - Built, launched, and scaled several SaaS products
    - Full-stack engineering, architecture,... more devops, product development, design, marketing
    - Web development, site and web app: node, React, etc.
    - Mobile development: React Native, Flutter, and Android/iOS native
    - Bootstrapped company from zero to functional products, and managed P&L
    Turo
    Turo
    Director, Data Science 2019 (6 months)
    - Built Growth / Marketing Data Science team from scratch
    - Focused on paid acquisition, retention/engagement, automated bidding, AB and market-based testing, and other... more data-powered marketing activities
    - The Growth Data Science team data delivered several key products, including customer segmentation, lifetime value, and customer activation models
    Northwestern University School
    Northwestern University School
    Adjunct Professor of Law 2018 - 2019 (11 months)
    - Developed (from scratch) and taught an on-campus business-focused data science course, for the Master of Science in Law (MSL) program
    - This intensive course combines... more data visualization, machine learning algorithms, and data science business applications
    Origami Logic
    Origami Logic
    Data Science Manager 2012 - 2016 (almost 4 years)
    - Built automated data products for an industry-leading enterprise SaaS-based marketing signal measurement platform
    - Hands-on manager: pushed production code for scalable... more data products

    Data Scientist
    - Built automated data products for an industry-leading enterprise SaaS-based marketing signal measurement platform
    - Prototyped and integrated a robust automated signal detection methodology with probable cause suggestions across disparate data sources
    - Prototyped and integrated an automated data engineering methodology including interpolation and extrapolation of disparate time series data
    - Initial work included bespoke analyses of secure data for potential customers
    - Primarily used Python data science stack (e.g. NumPy, SciPy, Pandas, etc.) with MongoDB for prototyping and integration into production pipelines
    - Leveraged Cython and profiling to improve code performance and reduce memory footprint
    - Also, used Scala, Spark, NLTK, R, Hive, Impala, HBase, bash scripting, PostgreSQL, MySQL, Vagrant, RabbitMQ, Kafka, etc.
    - Generally worked in Linux/UNIX environments
    - Used agile software development methods; tools included Atlassian JIRA, Pivotal Tracker, etc.
    - Joined early: first data science hire, with 5 people in the company at the time (6th employee)
    Trulia
    Exit
    Trulia
    Business Analyst 2011 - 2012 (about 1 year)
    - Developed custom pricing models for web and mobile ads at both the city/state and ZIP levels to optimize revenue
    - Built predictive and inferential churn models to optimize... more paid offerings and improve retention
    - Built a recommendation system to align sales opportunities with advertising inventory, enhancing sales effectiveness
    - Generated analyses supporting Trulia's IPO roadshow
    - Performed data mining, machine learning, and predictive modeling primarily related to Trulia's Business Services group, including Product and Sales/Marketing
    - Worked with a variety of internal customers, including product, sales/marketing, and executives; frequently interacted with engineering and data warehousing groups
    - Frequently constructed custom datasets across multiple databases with complex schema
    - Primarily used R and MySQL
    Aligned Partners
    Aligned Partners
    Internship 2011 (5 months)
    - Aggregated, normalized, and analyzed proprietary data from VentureSource to support fundraising activities for an early-stage venture capital firm
    - Investigated data... more from several other financial databases, proprietary data providers, and industry sources
    - Primarily focused on analytics, including extensive manual data cleansing and deduplication
    - Internship
    Claro Energy
    Claro Energy
    Advisor 2010 - 2012 (about 2 years)
    - Provided technical and business advice to a stealth-mode alternative and renewable energy company primarily focusing on the Indian market
    I2A Fund
    I2A Fund
    Internship 2009 (6 months)
    - Screened 50+ early stage venture capital deals across a broad range of sectors, from high tech to consumer products
    - Created competitive overviews, investment profiles,... more and full due diligence packages
    - Developed an extensive university/national lab technology database
    - Updated and enhanced fund marketing and investment materials
    - Internship (7 mo)
    Allwayswithyou
    Allwayswithyou
    Sr. Engineer 2003 - 2008 (over 4 years)
    - Selected for management role in upcoming technology cycle

    Senior Technology Engineer
    - Led high-profile/high-impact technology development forums (45 nm -- 2 years,... more 32 nm -- 1 year), generally consisting of 12-24 members, resulting in successful technology transfers with improved performance, reliability, and yield
    - Developed next-generation microprocessor production processes as the primary technology development owner for multiple toolsets
    - Worked in Portland Technology Development (PTD), which was chartered with keeping Intel one generation ahead
    - Directed and mentored several technology development technicians and engineers, as well as many manufacturing engineers and technicians from worldwide locations during technology transfers; also directed field service engineers from multiple semiconductor equipment vendors
    - Selected semiconductor processing equipment (large, automated toolsets) and materials, to enable new capabilities and reduce cost
    - Transferred processes to Intel's international high volume manufacturing organization for two technology nodes (65 nm, 45 nm), across multiple toolsets
    - Worked in several highly-automated environments, including a fab relocation and start-up
    - Published 1 article, listed below, as well as numerous internal specifications and whitepapers
    - Routinely used statistical techniques, statistical process control, and multivariate testing
    - Troubleshot issues 24x7
    - Performed pathfinding experiments and analysis, leading to new technology capabilities
    Lawrence Berkeley National Lab
    Lawrence Berkeley National Lab
    Postdoctoral Fellow 2003 (9 months)
    - Developed and successfully applied a challenging energy-related chemical dynamics technique
    - Published 4 articles in physics journals, listed below
    - Collaborated... more with researchers from UC-Santa Barbara
    - Focused on chemical physics and reaction dynamics
    UC Berkeley
    UC Berkeley
    Graduate Student Researcher 1997 - 2002 (about 5 years)
    - Performed rigorous experiments in chemical physics and reaction dynamics, with a focus on energy-related systems
    - Led team to relocate/upgrade complex custom scientific... more equipment (inherited from Nobel Laureate Yuan T. Lee), improving capabilities, performance, and sensitivity
    - Analyzed intricate data using C/C++, quantum computational software, and other custom software
    - Published 4 articles (3 in physics journals, 1 in JACS), listed below
    - Spent time in Taipei, Taiwan collaborating with researchers at the Academia Sinica
    - Operated, maintained, and upgraded electronics, lasers, and high vacuum systems
    - Performed numerous experiments at the Advanced Light Source, a 3rd generation synchrotron at Lawrence Berkeley National Lab
    - Directed and mentored undergraduates, graduate students, and postdoctoral fellows
    Multimodal
    Multimodal
    Managing Director 2020 - 2022 (almost 2 years)
    - Founded Multimodal LLC with the vision of helping companies understand and extract the maximum value from their data, while reducing the time to insight and realized return.
    -... more Offered a broad array of core consulting services, including corporate data auditing, data architecture, and modeling and optimization services, as well as strategic data science consulting.
    - Closed for business August 2021, finalized dissolution February 2022.
    Founder
     
    Employee
    Allwayswithyou, Trulia, Origami Logic, I2A Fund, Lawrence Berkeley National Lab, Multimodal, UC Berkeley, Claro Energy, Aligned Partners, Northwestern University School, Turo, Next Mountain, Steady
    Investor
     
    Incubator
     
    Advisor
     
    Attorney
     
    Board Member
     
    Mentor
     
    Member
     
    Acquired
     
     
    Projects
    But Did I Do It
    Build Habits That Matter
    Designer, Developer, etc., Kotlin, Kotlin Coroutines, Android · This mobile app is an intelligent system based on the equation: Purpose + Habits =… · More Results.

    Built the app from scratch.
     
    Education
     
    About
    Achievements

    My career spans several functions and industries -- machine learning/AI/data science, full stack software engineering, R&D, technology development, venture capital investing, fund marketing, and management. I have held high-impact roles at startups and public companies, including Steady, Turo, Origami Logic, Trulia, and Intel.

    I've founded a SaaS company (Next Mountain), co-founded a data science consulting firm (Multimodal LLC), and taught data science at Northwestern University's Pritzker School of Law.

    I earned an MS in CS from Georgia Tech, focusing on Machine Learning, a PhD from the University of California, Berkeley, and an MBA at Northwestern University's Kellogg School of Management, where I was a Siebel Scholar. I earned two undergraduate degrees from the University of Georgia's Honors Program, and I was a National Merit Scholar. I also completed a Graduate Certificate in Data Mining and Applications from Stanford (via SCPD), and I've passed the CFA Level I Exam.

    Describe the most impressive thing you've done.
    Skills
    Data Science Node.js Python Databases Machine Learning Mobile Development Full Stack Development Software Engineering Kotlin Android Data Analysis Algorithms & Data Structures Software Development Engineering Computer Vision Cloud Computing Computer Science Java Natural Language Processing Scala Reinforcement Learning
    Locations
    San Francisco Bay Area
    Help · Blog · Twitter · Terms · Privacy Policy & Cookies · Unsubscribe · Cookie Preferences · Press · Profile not verified