CapitalG • Alphabet's Growth Fund • San Francisco
General Partner • CapitalG • Operator-Turned-Investor
She came to venture with calluses, not a spreadsheet. A Y Combinator founder, a PE-backed CEO, and now the first person ever promoted to General Partner from within CapitalG's walls - in the fund's 13-year history. Her AI thesis landed before the hype did.
Profile
In 2020, when Jill Chase arrived at CapitalG with an AI-first thesis, she was a curiosity among colleagues. The fund had spent years making growth-stage bets on enterprise software - Stripe, Robinhood, Duolingo. AI was still a research department problem, not a portfolio construction problem. Chase decided anyway. She spent her first months studying under Jeff Dean, Google Brain's chief scientist, building fluency in a language most investors were still treating as a foreign tongue.
She didn't come from the analyst track. Before CapitalG, Chase had built Nimble as part of Y Combinator's Summer 2017 batch - experiencing, firsthand, what it feels like when a pitch deck meets reality at 11pm the night before a board meeting. Before that, she ran Interlaced as CEO, a PE-backed IT managed services company. She has operated inside the machine she now funds. That combination - the operating scars, the technical depth, the ability to skip half a founder's pitch because she already understands the architecture - is what makes her a different kind of growth investor.
"Jill's understanding of the AI space is so strong that I was able to skip half of our usual pitch in the first meeting."
- A CapitalG portfolio founderThe portfolio she has built since 2020 reads like a who's-who of the AI infrastructure and applications stack: Baseten (AI model inference at scale), LangChain (the orchestration layer millions of developers use), Physical Intelligence (general-purpose robotics AI), Abridge (AI for clinical documentation), Magic (autonomous software engineering), /dev/agents (agentic AI infrastructure), and Motif. She also led CapitalG's participation in Rippling and Canva, two of the most closely-watched growth-stage names in tech.
On Rippling's performance, she is characteristically precise rather than vague: the company's net dollar retention is, in her words, "truly, like nothing you've ever seen." She attributes it to a foundational architectural decision - a shared data layer for permissions and employee graphs that lets Rippling expand across modules in ways single-purpose HR competitors simply cannot replicate. That is the level of product analysis she brings to due diligence at the growth stage.
In January 2026, CapitalG made it official. Chase and Alex Nichols were named General Partners - the first internal promotions in the firm's 13-year history. A firm that had never once elevated someone from within did it for the first time, twice, simultaneously. The announcement landed quietly in terms of press volume but loudly in terms of what it says about the direction CapitalG is heading: leaning harder into AI, leaning harder into operators, and building a collaborative team model rather than the old "go win your own deals" ethos that defined an earlier generation of VC.
"The greatest joy of this job is the long-term partnership - getting to truly build something world-changing alongside founders via close collaboration."
- Jill Chase, General Partner at CapitalGInvestment Portfolio
The workforce management platform that built a shared permissions and employee data graph - enabling cross-module expansion with NDR metrics Chase describes as "truly like nothing you've ever seen."
Bringing general-purpose AI into the physical world. One of the most ambitious bets in the portfolio - a robotics AI company built on foundation model principles.
The de facto orchestration framework for building LLM-powered applications, used by millions of developers worldwide. Chase backed it before it became synonymous with AI development.
The foundation for production AI inference. Raised $150M at a $2.15B valuation in September 2025. Chase's thesis: all AI usage is pegged to inference - a bet on AI growth itself.
Chase's bet on fully autonomous AI software engineers - not code completion, but something closer to an AI colleague that can reason over entire codebases using long-context architectures.
Board MemberInfrastructure for building and running autonomous AI agents. One of her three active board seats and a direct expression of her conviction around agentic AI systems.
Board MemberAI-powered clinical documentation that turns patient-doctor conversations into structured medical notes, reducing physician burnout and improving care quality.
The democratized design platform used by over 150 million people. One of the most recognized consumer-facing growth-stage names in Chase's portfolio.
An active board seat alongside /dev/agents and Magic - one of three companies where Chase is most directly involved in building.
Board MemberInvestment Philosophy
Chase came to CapitalG in 2020 with a framework that ran counter to the prevailing wisdom. While peers were still debating whether AI was "real" at the application layer, she was mapping the stack from the bottom up - spending time with Google's AI research teams, building technical fluency, and developing a view about where durable value would accrue.
"Infrastructure has always been an interesting and good place to bet - you don't need to bet on it being TPUs or GPUs or whatever." Agnosticism to hardware transitions is a feature, not a bug. Baseten, LangChain, and /dev/agents all reflect this layer of the stack.
She distinguishes sharply between "thin UI wrappers on existing models" and "thick layers selling into big enterprise categories with big profit pools that have very clear value add." The former are vulnerable; the latter defensible. Abridge and Rippling represent the latter.
Her Magic investment signals a conviction that fully autonomous AI software engineers will arrive within two years. She views incremental code-completion tools as having "uncanny valley vibes" - the real prize is systems that reason over entire codebases.
When most investors quote a 10-15 year AGI horizon, Chase estimates 3-5 years - defined as "virtual agents across a variety of different fields." She notes that AI research lacks the linearity of traditional software: "Each researcher could discover something tomorrow."
For model training, she focuses on volume, diversity, contextual richness, and accuracy together - not raw data volume alone. Audio and image data offer creative metadata advantages despite lower availability compared to text.
A framework she returns to repeatedly: "Are you paid for the risk that you're taking?" At CapitalG's growth stage (typically $50M-$200M checks), the question of risk-adjusted return is central to every investment decision.
In Her Own Words
"It is a huge red flag for me when somebody can't say, 'yep, I was wrong about this.'"
"Our job when things aren't going so well is to remind them of the dream and to say, 'no, we're not giving up.'"
"Historically, it used to be 'you made general partner, go out and win your deal.' To me, that's not the right way to be successful in venture ever."
"Work with exceptional people. If you get A players working with you, it just pays dividends."
"All AI is pegged to inference, which is usage of AI products. I think that's a bet everyone is very comfortable making - that AI usage will continue to grow massively over time."
"The way we approach investing at CapitalG is highly thematic and sort of thesis-driven."
Career Arc
Chase's path to venture capital is less "finance to investing" and more "build, break, run, then fund." She graduated magna cum laude from Williams College with a dual degree in economics and psychology, captaining the women's basketball team - a combination that tells you something about how she operates under pressure. She then earned an MBA from Stanford GSB, where she's been a guest lecturer since 2019.
Before CapitalG, she worked as an Operating Executive at Alpine Investors, then ran Interlaced as CEO. In 2017, she co-founded Nimble through Y Combinator's Summer batch. Having been the person pitching, the person running, and the person accountable for payroll changes how you evaluate founders. Chase brings all of that into every term sheet.
Education
Beyond the Portfolio
Captained the Williams College women's basketball team - the competitive instinct never really leaves. She now plays pickleball and tennis in the Bay Area.
Grew up in Boston during the Patriots dynasty era. A city with a particular relationship with winning, building, and having strong opinions about how things should be done.
She backed LangChain before it became the default AI orchestration layer used by millions of developers. The framework went from niche to ubiquitous; the thesis was written first.
Her AGI prediction - 3 to 5 years - runs well ahead of most investor consensus. She defines AGI as "virtual agents across a variety of different fields" and notes AI research doesn't follow linear timelines.
Outside of work: hiking, running, tennis, and pickleball. She lives in the Bay Area with her husband and young son.
Has been a guest lecturer at Stanford GSB since 2019 - teaching before she was a partner, and continuing as one. The classroom and the cap table both inform how she thinks.
"It is a huge red flag for me when somebody can't say, 'yep, I was wrong about this.'"
- Jill Chase, on evaluating foundersWhere to Find Her