Kevin Novak

Founder

San Francisco, California, United States17 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Founder of Rackhouse Venture Capital specializing in AI.
Former Head of Data at Uber with extensive leadership experience.
Expert in evaluating early-stage tech startups.

Stackforce AI infers this person is a venture capital expert with a strong background in AI and data science.

Contact

Skills

Core Skills

Venture CapitalAiAdvisoryAngel InvestmentData EngineeringData Science

Other Skills

StrategyProduct DevelopmentDeep-tech Venture InvestingInvestmentOperationsAlgorithmic PricingAnalyticsMathematicsApplied StatisticsPythonSoftware DevelopmentSoftware EngineeringPhysicsStatisticsApplied Physics

About

General Partner and Founder at Rackhouse Venture Capital. I back early-stage founders applying AI in operationally complex, real-world environments. Before venture, I spent over a decade as a data scientist and data leader, including as Head of Data at Uber, working across transportation, logistics, and fintech. That experience informs how I evaluate teams, technical maturity, and the practical challenges of deploying AI at scale. Investment inquiries can be submitted via email at pitches AT rackhouse DOT vc.

Experience

Rackhouse venture capital

General Partner & Founder

Jan 2021 – Present · 5 yrs 3 mos · Menlo Park, California, United States

Building Rackhouse to partner with early-stage founders applying AI in operationally complex, real-world environments.

AIVenture Capital

Renegade partners

CTO

Nov 2019 – Jul 2020 · 8 mos

Costanoa ventures

EIR

Jun 2019 – Nov 2019 · 5 mos

Various

Advisor

Aug 2018 – Present · 7 yrs 8 mos

Serves on advisory boards for companies including Standard Cognition, door2door, LVRG, and Curated, and supported founders across strategy, product, and scaling
Provides guidance to early teams building across retail automation, mobility, and consumer marketplaces, helping them navigate growth and technical decision-making.

StrategyProduct DevelopmentAdvisory

Tala

Chief Data Officer

Nov 2017 – Nov 2018 · 1 yr · Santa Monica, California

Playground global

Entrepreneur In Residence

Sep 2017 – Dec 2017 · 3 mos

Data collective

Equity Partner

Mar 2017 – Dec 2020 · 3 yrs 9 mos

Former member of the Data Collective group, contributing to a firm widely recognized for deep-tech venture investing.

Deep-tech Venture InvestingVenture Capital

Uber freight

Head of Data & Engineering, Pricing & Operations Tooling

Jan 2017 – Sep 2017 · 8 mos

Helped build Uber Freight’s early brokerage and marketplace systems.
Launched internal operations tooling, algorithmic pricing, and the Marketplace Dynamics team focused on freight acquisition and fulfillment efficiency.

Uber

3 roles

Head of Data Science Platform

Aug 2015 – Jan 2017 · 1 yr 5 mos

Building a research focused, analytically driven group of data professionals. The Data Science & Analytics team is responsible for pre-feature development research and feasibility experimentation, as well as post-facto analysis to determine the efficacy and quality of complex data features and products.

OperationsAlgorithmic PricingData Engineering

Head of Data Science

Promoted

Jan 2014 – Aug 2015 · 1 yr 7 mos

Data ScienceAnalytics

Data Scientist

Jul 2011 – Jan 2014 · 2 yrs 6 mos

Mathematics, Applied Statistics, Demand Forecasting,Computer Programming, Dynamic Pricing algorithms. Solving mathematical problems in the transportation industry.

Jigsaw venture capital

Angel Investor

Jun 2014 – Dec 2020 · 6 yrs 6 mos

Served as an angel investor for over 50 companies.
Although I no longer make new investments via Jigsaw since founding Rackhouse, I continue to support existing Jigsaw founders as they scale their companies.

InvestmentAngel Investment

Michigan state university

Teaching Assistant/Researcher

Aug 2008 – Aug 2011 · 3 yrs

Assisted in teaching undergraduate physics labs while managing a full graduate course load.
Developed and presented engaging lab lectures to enhance student understanding.
Graded quizzes and lab assignments for approximately 60 students, ensuring fair evaluation.
Organized and maintained an efficient grading system, streamlining administrative tasks for the course.

MathematicsApplied StatisticsData Science