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Jacqueline Wibowo
Building Tofu/VC Investor
Jacqueline Wibowo is a prominent figure in the venture capital and technology investment landscape. Here's an overview of her professional background and achievements:
Career Highlights
Jacqueline has held several key positions in the investment and technology sectors:
Current Role:
- Building Tofu, a startup automating top-of-funnel B2B marketing campaigns with AI2
- Enterprise Investment Scout at Andreessen Horowitz2
- Angel Investor2
Previous Positions:
- Venture/Growth investor at Whale Rock Capital Management (2021-2023)2
- Senior Associate at SignalFire (2020-2021)2
- Investor at Insight Partners (2018-2020)2
- Analyst at Goldman Sachs (2016-2017)2
Education
Jacqueline holds two degrees from Stanford University:
- Master of Science in Management Science and Engineering2
- Bachelor of Arts in Public Policy, with Distinction2
Notable Achievements
- Named in Forbes 30 Under 30 Venture Capital in November 20222
- First venture-focused hire at Whale Rock, where she helped deploy $1 billion across 20+ companies1
- Led investments in notable companies such as Canva, Hinge Health, and Pilot1
Personal Background
Jacqueline is an Indonesian-Chinese first-generation immigrant who focuses on supporting founders from underrepresented backgrounds.1 She is multilingual, with proficiency in English, Indonesian, and Mandarin.2
Additional Interests
Beyond her professional endeavors, Jacqueline:
- Has a background as Miss San Jose and Miss Excelsior1
- Volunteers with the Miss America Organization1
- Holds a leadership role in Christians in Venture Capital1
Jacqueline Wibowo's diverse experience and achievements in venture capital, coupled with her commitment to supporting underrepresented founders, make her a notable figure in the investment landscape.
Highlights
At Tofu, we’ve prioritized the quality of our AI-generated outputs from day 1. We understand that users are still in early stages of trusting AI-generated content, and want our customers to feel comfortable hitting “publish” on anything we generate with little oversight.
This piece shares a behind-the-scenes look at how we’ve developed our internal testing process. It walks through:
🛠 a quick overview of how our app works ✍ the original blueprint our CEO Eunjoon (EJ) Cho gave us for a testing system 📈 a few iterations of our testing process - our exact scoring system, evaluator recruiting process, the dashboards we created and review weekly 🔎 how we involve the whole team in reviewing results 🔥 other approaches we’re excited to try (GPT4 Utilization, automated LLM testing startups)
We’re excited to continue to share our best tips and learn from our peers. Have feedback or a different way you're testing your LLM application? I'd love to hear what you think :)
