AI Transformation & Global Operations Leader

From Research
to Reality.
From Pilot
to Billions.

I bring equal fluency in technical depth and organizational complexity — turning AI ambition into measurable, scalable results. Not a guru. Not just an engineer. The executive who makes it ship.

2× Founder & Exit
17+ Years at Google
$MM+ AI Gains Delivered
$2B+ Portfolio Scaled
700+ Global Staff Led
See My Work → LinkedIn ↗
About Me

The Full Stack of AI Leadership

From neural networks research to billion-dollar operations — I've done the work at every layer.

Miguel Feldens

I'm a technology executive with roots in AI & neural networks research and a career built on making complex transformations real at scale. Before joining Google, I founded and exited two companies: an AI-based marketing automation and an AI engineering firm focused on fraud detection and commercial applications.

I spent 17 years at Google across three chapters — building LatAm's commercial engine from zero, running global operations for a $1B+ product portfolio across 7 countries, and driving strategic transformation at the organizational level alongside SVP and VP leadership.

As Director of AI & Productivity Engineering at 10x Genomics, I led the company's AI transformation program — enabling every employee with AI tools while driving a portfolio of high-impact engineering investments tied to clear P&L goals.

M.Sc. Neural Networks & AI — UFRGS
MBA — FIA Business School
Stanford LEAD — Corporate Innovation
Google for Startups Accelerator — Product, GTM & Scaling Advisor
Angel Investor — AI & Tech Startups
Expertise

Where I Create Value

Three areas where technical depth meets organizational reality.

01
AI Strategy & Transformation

I turn executive AI ambition into a rigorous, phased roadmap. Governance frameworks, portfolio prioritization, build-vs-buy decisions, and the change management required to make adoption stick across 1,000+ users. My starting point is always the business goal — not the technology.

02
Operations at Scale

I've run operations ranging from 700-person global support functions to $2B+ regional portfolios. I bring structure, accountability, and automation to organizations that need to do more with what they have. My hierarchy for scale: automate first, self-serve second, outsource only as a last resort.

03
Product & Engineering Leadership

From agentic AI platforms to AI-powered SDLC programs at Google — I bridge product vision and engineering execution across products shipped to billions of users. My teams don't just guard the process — they're opinionated partners who bring order to chaos and turn strategy into operational rigor.

Career Highlights

Work That Moved the Needle

Selected milestones across two decades of building, scaling, and transforming.

10x Genomics · 2024–2026
Leading Company-Wide AI Transformation Program

Led the AI transformation program — enabling 1,000+ users with AI tools and driving a portfolio of high-impact engineering investments with clear P&L accountability.

1,000+
Employees enabled with AI
Google · 2022–2024
Rationalized 2,000-Engineer Portfolio for the AI Era

Converted an ambiguous executive mandate into a rigorous prioritization framework. Seeded AI-powered SDLC programs.

15%
Engineering capacity redeployed to AI
Google · 2015–2022
Scaled Global Operations, $1B+ Portfolio

Led 700+ staff across 7 countries. Cut support resolution time 50% via AI-powered automation while growing product revenue 3×.

$20M/yr
Support costs eliminated via automation
Google LatAm · 2007–2015
Built LatAm's Technical & Ops Engine from Scratch

Built and led the forward-deployed technical teams — engineers, program managers, support consultants — that worked side by side with sales across 6 countries. Owned books of business and served as extended staff to Sales VPs.

10×
Revenue scaled ($200M → $2B+)
Early Career · Pre-Google
Founded & Exited Two AI Companies

Co-founded an AI-based marketing automation and an AI engineering firm specializing in fraud detection — both taken from zero to exit.

2×
Founder exits before Google
Academic Roots · Pre-Industry
Professor & Researcher in AI

Developed hybrid machine learning systems combining neural and symbolic approaches, applied to data mining in healthcare. The foundation for everything that followed.

Impact Cases

The Work, Unfiltered

Four transformation stories — challenge, approach, outcome.

AI Transformation
Building an AI-Native Organization from the Inside Out

Challenge & Approach

Led a company-wide AI transformation program spanning two tracks: enabling every employee with AI tools that change how they work day-to-day, and building a portfolio of high-impact engineering investments — each with clear P&L accountability and executive sponsorship.

In Progress

✓ 1,000+ users enabled with AI tools
✓ Responsible AI Governance Framework live
✓ Engineering portfolio tied to P&L goals
Operations Google
Reinventing Large-Scale Support with AI

Challenge & Solution

In a 700-person global support operation, over 50% of inquiries were low-value interactions consuming massive resources. I applied natural language processing to triage and automatically resolve routine cases, while elevating the team to focus on consultative, high-value work.

Results

✓ 50% reduction in low-value interactions
✓ $20M/year in support cost savings
✓ Product revenue grew $250M → $800M/yr
Transformation Google
Redeploying Engineering Capacity Toward AI

Challenge & Solution

A 2,000+ engineer org had an ambiguous mandate to "invest in AI" but no framework to make defensible decisions. I designed a portfolio prioritization methodology — partnering with SVP, VPs, and Finance — that converted exec intent into rigorous, repeatable investment decisions.

Results

✓ 15% of eng capacity shifted to AI
✓ AI-powered SDLC programs seeded
✓ $200M+ portfolio mapped to business value
Build Google LatAm
Building a Technical Organization in an Emerging Market from Zero

Challenge & Approach

Google's LatAm business had commercial ambition but no technical foundation to support it. I built the forward-deployed organization from scratch — engineers, program managers, and support consultants working side by side with sales across 6 countries. We owned books of business, operated as extended staff to Sales VPs, and led the technical launch of flagship products including YouTube, Maps, and Workspace across the region.

Results

✓ Revenue scaled from $200M to $2B+
✓ 50+ FTE technical org built from zero
✓ YouTube, Maps & Workspace launched across LatAm
Let's Talk

Ready to Drive Your AI Transformation?

Whether you're building a strategy from zero or scaling what's already in motion — drop me a note and I'll get back to you.

LinkedIn · GitHub