BREAKING
Malika Aubakirova - Partner at Andreessen Horowitz
Profile - Venture Capital

Malika
Aubakirova

Sand Hill's sharpest eye on the AI infrastructure stack - and she can also pour a mean latte.

She wrote backend code at Google for five years. Then she left for Stanford. Then she wrote checks at a16z. The path looks linear only in retrospect.

a16z Partner AI Infrastructure Stanford GSB MBA Google / Chronicle
5 Years at Google
2 Years to Partner
$35B+ a16z AUM

The engineer who learned to price risk

There's a specific kind of investor that makes founders stop mid-pitch. Not because they're famous or because they lead bigger rounds - but because they understand what you actually built. Malika Aubakirova is that investor. She spent five years inside Google's infrastructure before anyone considered paying her to evaluate other people's.

At Chronicle Security - Alphabet's Moonshot Factory attempt at rethinking cybersecurity - she didn't just ship features. She drove Rules Engine to general availability and helped launch Chronicle Detect. These are not glamorous products. They are the kind of products that keep security operations centers sane at 3am. Knowing how hard they are to build is what makes her qualified to bet on the next generation of them.

"I just didn't want to keep still."
- Malika Aubakirova

The Stanford MBA was the pivot that was not really a pivot. It was an upgrade. In two years at the Graduate School of Business, she moved from never having considered venture capital to closing investments at Andreessen Horowitz, one of the most consequential firms in technology. She was a Scout at Greylock, a Venture Investor at Stanford's GSB Impact Fund, and a Principal In Residence at MVP Ventures - all before collecting her degree.

At a16z she sits on the AI Infrastructure team, which means she is paid to think about the layer of technology most investors still treat as plumbing. The AI model gets the headline. The infrastructure that makes it reliable, secure, and cost-effective at scale is what Aubakirova is watching. She has co-authored research covering how 100 trillion AI tokens actually move through real systems. That is not a soft focus area. That is a thesis.

Her Stanford Daily profile called this her "second act." She seems unbothered by the framing - and probably already has a third act in mind.

The making of a thesis

University of Chicago
Graduated with honors: B.S. Computer Science + B.A. Economics. Two disciplines, one lens - systems thinking meets incentive structures.
Google - 5 Years
Software Engineer across backend systems, frontend, and site reliability engineering. Completed a Mission Control rotation with Spanner - Google's globally distributed database.
Chronicle Security (Alphabet)
Led engineering at Alphabet's Moonshot Factory cybersecurity company. Drove Rules Engine to General Availability, launched Chronicle Detect. Later integrated into Google Cloud.
2022 - Stanford GSB
MBA program begins. Simultaneously active as Scout at Greylock Partners, Venture Investor at Stanford GSB Impact Fund, and Principal In Residence at MVP Ventures.
2023 - Stanford Lean Launchpad
Co-founded a fertility space venture with a classmate. Selected as 1 of 8 teams from 60 applicants for Stanford's highly competitive Lean Launchpad entrepreneurship program.
2024 - Andreessen Horowitz
Joins a16z as Partner on the AI Infrastructure team. Led Series A investment in Adaptive Security. Co-authored Keycard investment announcement. Backed the infrastructure layer of the AI economy.
2025
Co-authors "The State of AI" with Anjney Midha - a data-driven guide to how 100 trillion tokens move through real AI systems. Published research at the intersection of AI, cybersecurity, and infrastructure.

Bets on the infrastructure layer

Aubakirova's investment thesis centers on the companies building what AI needs to be reliable, secure, and deployable at scale - not the models, but the stack underneath them.

Cybersecurity - Series A
Adaptive Security
AI-native platform defending organizations against deepfake personas and AI-powered social engineering attacks. Realistic adversary simulations, behavioral guidance, and real-time threat visibility. Aubakirova co-led the round alongside Zane Lackey and Joel de la Garza.
AI Infrastructure - Seed
Keycard
Identity and access management built for the agent economy. Issues dynamic, identity-bound, task-scoped tokens to replace the static API keys that were never designed for autonomous AI systems. Founded by the creator of Passport.js and former Auth0 Chief Architect.
Research + Writing
The State of AI
Co-authored with Anjney Midha, this a16z report offers a data-driven guide to how 100 trillion tokens are actually used across real AI deployments. The kind of primary research that shapes how serious investors build their theses.

Four bets she keeps making

🔒
AI Security
AI doesn't just introduce new attack surfaces - it supercharges old ones. Deepfakes, AI-powered phishing, adversarial inputs. She bets on the defenders.
📈
Infrastructure Primitives
The database-era produced Oracle. The cloud era produced AWS. The AI era needs its own foundational layer. That's the territory she's mapping.
🤖
Agent Identity
When AI agents act autonomously on your behalf, who are they? Keycard represents a thesis: agents need identity, not just credentials.
📊
Data as Infrastructure
Models are only as good as the data they train on. The real infrastructure problem isn't compute - it's assembling, verifying, and governing the right data at scale.

The rough 90s, and what they built

Astana in the 1990s was not a soft environment. Kazakhstan had just become independent, the Soviet infrastructure was crumbling, and the economy was in freefall. Malika Aubakirova grew up there - a first-generation immigrant in the making, though she didn't know it yet.

She has described traveling alone on Kazakhstani buses as a child with an oversized backpack. The older women on those buses offered disapproval, not assistance. She figured it out herself. That is not a metaphor she uses to explain her success. It is a literal description of how she learned to navigate systems that were not designed to help her.

When she arrived in the United States and made it to the University of Chicago, she graduated with honors in Computer Science and Economics - two ways of modeling the world. Then she went to Google and spent five years learning how the world's largest distributed systems actually work at scale. Not from textbooks. From production.

"You can't coast in that environment."
- Malika Aubakirova

The Stanford MBA was not a retreat from engineering. It was a deliberate acquisition of a different tool: fluency in capital allocation. She arrived knowing how to build. She left knowing how to bet. The combination is rarer than either piece alone.

Kazakhstan to Silicon Valley
  • Childhood Grew up in Astana during Kazakhstan's post-Soviet economic transition - learned self-reliance early, on literal public buses with an oversized backpack
  • Chicago University of Chicago - honors graduate, B.S. CS + B.A. Economics. Built the analytical foundation.
  • Google Five years inside Alphabet's infrastructure - backend engineering, SRE, Spanner rotation, Chronicle Security
  • Stanford MBA at GSB - simultaneously scouting at Greylock, investing at Stanford Impact Fund, building a startup
  • a16z Partner, AI Infrastructure - within 2 years of entering venture capital

Facts that don't fit the bio

01
She won a latte art competition at Google's Chicago office. Among hundreds of engineers who presumably all also wanted good coffee.
02
Her Twitter handle is @MaikaThoughts. "Maika" is a common nickname for Malika in Central Asia - she kept it. Small thing. Tells you something.
03
At Stanford, her startup team was one of 8 selected from 60 applicants for the Lean Launchpad program. She was still in her first year of considering venture capital.
04
She has a Google Scholar profile with published research - not typical for most VC partners. The engineer never fully left.
05
Self-described: "coffee enthusiast with an independent, entrepreneurial, adventurous, and ambitious spirit." The coffee part checks out (see fact #1).
06
She went from having never considered VC to a16z Partner in under two years - without the traditional analyst-to-associate track most VCs spend a decade on.

Two institutions, three degrees

University of Chicago
B.S. Computer Science + B.A. Economics
Graduated with Honors

The double major wasn't accidental. Systems design and incentive design are the same discipline viewed from different angles. She learned both before most people pick one.

Stanford Graduate School of Business
MBA - Class of 2024
Lean Launchpad Finalist - Stanford GSB Impact Fund

Used the MBA not as a credential but as an operating system upgrade. Praised GSB's emphasis on vulnerability and self-awareness alongside the rigorous academics.

Three sentences that explain a lot

"
I just didn't want to keep still.
"
You can't coast in that environment.
"
Something like ElevenLabs could not have been born anywhere in the U.S.