Headshot of Greg Nowak
Principal Analytical Consultant · Google · New York

Greg Nowak

I help Google Cloud's largest customers figure out where AI, media, and technology can create value.

About

I've spent seven years at Google across Ads and Cloud, building the models, frameworks, and pipelines that turn ambiguous business questions into decisions leaders can act on. The titles have changed along the way, but the job hasn't: help businesses grow, and show the numbers behind it — whether that means launching a scaled GTM strategy or proving a new AI technology is worth betting on.

My background is deliberately a mix. Neuroscience at Princeton taught me to reason from data. Graduate CS coursework at NYU taught me to build. A Wharton private equity certificate added the capital-allocation lens. And outside work I'm usually shipping something — an automated trading system, a GCP-native SaaS — because the fastest way to understand a technology is to build with it.

What I'm building

I ship things end to end — it keeps my advice honest. A few current and past builds:

In progress

Quantitative Trading System

Building a TopStep trader on GCP for an automated futures strategy I run: a backtesting engine with pre-registered experiments, nightly cloud verification runs, and an execution stack for index futures. Built to answer one question honestly — does the edge survive contact with real markets?

In progress

GCP-native SaaS

An AI-agent platform for home-services businesses, built cloud-native on GCP — OAuth-based API integrations, automated test coverage, and LTV analytics at the core. Applying what I've learned advising enterprises to a market I can serve directly.

Built & sold

Trading Application — 1K+ DAUs

Designed, launched, and sold a real-time market-levels tool for futures and equities traders. It grew past 1,000 daily active users — my first taste of building something others use every day.

PythonBigQueryGCP Vertex AIGemini EnterpriseROI / TCO Modeling Causal InferenceLTV ModelingExperimentation GTM Strategy

The journey so far

2019 – Present

Google

Analytical Consultant → Principal → Head of Category Expansion

I joined Google to advise its largest advertisers on measurement and growth, and stayed because the problems kept getting bigger. Along the way I took a detour advising startups for CapitalG (Google's growth fund), won a global rotation to São Paulo to build a VC channel from scratch — fourteen workshops in six weeks, in a market I'd never worked, for founders I'd never met — and became the first IC Mastery Coach at Google, teaching other consultants how to do this work.

One arc I'm proud of: several years spent on AI value creation — figuring out where AI investments can drive real business objectives. I did that with startups in Brazil, PE-backed companies in the US, and US enterprises, where I led the go-to-market for a Gemini Enterprise video creative AI agent from pilot to launch.

Today Google has a role it created for me: Head of Category Expansion, showing CMOs and CEOs where their next markets are — and building the analytical engine that finds them. At Google I've done this mostly by driving growth with companies; now I want to get back to doing it in a more technical way.

2017 – 2019

Jet.com

Paid Search Lead → Growth Product Manager

I left academia for e-commerce hypergrowth and got a crash course in commercial reality. I started by running the P&L for paid-search categories, then moved into product — studying master's-level computer science at night and working with engineers to execute things like migrating the data systems behind half the company's sales to a big-data environment. Jet taught me that I could learn any technical domain fast enough to ship in it, and that I loved doing exactly that.

2015 – 2017

Princeton Neuroscience Institute

Research Specialist

My first job was in a neuroscience research lab. I designed experiments and taught myself to program. Studying decision-making under uncertainty turned out to be the perfect foundation for everything since: business, marketing, and AI are all the same problem wearing different clothes.

What people say

"Greg is the total package — brilliant IQ + world-class EQ. Greg is smart, humble, self-aware, deeply curious, highly quantitative and technical… Greg is an A++ player."

Micah MoreauManaged Greg at Jet.com

"Simply put, Greg has one of the strongest work ethics I've ever seen… many of the projects in the lab were successful because of Greg's commitment."

Tim BuschmanProfessor of Neuroscience and Psychology, Princeton University

"Hands-down one of the most talented professionals in the industry… He doesn't just manage workflows, he elevates the people around him."

Sylwia GolasSenior Digital Marketing Strategist, Google

"Greg was a high performer at Jet and will continue to be successful wherever he decides to work. He's someone who can wear a lot of different hats, which makes him a great addition to any team."

Viral ShethVP of Product at Warby Parker; managed Greg at Jet.com

Education

Princeton University
B.A. Molecular Biology, Neuroscience research focus
2011 – 2015
New York University
Graduate coursework in Computer Science — Operating Systems, Networks, Algorithms, Programming Languages
2018 – 2020
The Wharton School, University of Pennsylvania
Certification in Private Equity — LBO modeling, DCF valuation, QoE analysis
2026
Google Cloud
Professional certifications