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Caitlyn Ho

@caitlynho

I’m a product-focused technical builder improving user acquisition, adoption, and operational efficiency through data-driven strategy.

United States
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What I'm looking for

I’m looking for a product role where I can pair data analysis with clear execution—shipping dashboards, roadmaps, and automation—while collaborating cross-functionally to improve adoption, user growth, and operational efficiency.

I’m a product leader with a technical edge, combining data analysis and hands-on execution to turn ambiguity into measurable outcomes. I’ve built and shipped product analytics, reporting, and automation improvements that directly strengthened visibility, governance, and adoption.

At Google, I built a real-time data visualization dashboard in Google PLX using SQL to track project status and OKR progress, and I redesigned resource-savings reporting with an automated Google Forms + Apps Script pipeline that reduced reporting cycle time by 80%. I then delivered a pilot and developed the scaling framework and implementation roadmap after senior stakeholders identified it as a candidate for standardization.

Earlier, as a Product Manager Intern at a Stealth AI startup, I managed content production across 45+ social accounts, driving a 39% increase in user acquisition and growing branded keyword impressions to 25.4K. At Amazon, I conducted 25+ stakeholder interviews, prototyped UI/UX in Figma (increasing adoption by 35%), created an ML-powered automation roadmap, and helped deliver $22M in annual savings while reducing onboarding time by 47% and manual labor hours by 98% across engineering design processes.

Experience

Work history, roles, and key accomplishments

Google logoGO

Technical Program Manager Intern

Jun 2025 - Sep 2025 (3 months)

Built a real-time data visualization dashboard in Google PLX using SQL to track project status, resource savings, risks, and OKR progress, improving leadership visibility across the portfolio. Owned a redesigned resource-savings reporting process with an automated Google Forms + Apps Script pipeline, reducing report cycle time by 80% and enabling standardization for 1,000+ engineers.

SS

Product Manager Intern

Stealth AI Startup

Oct 2024 - May 2025 (7 months)

Built and managed a content production operation across 45+ TikTok, YouTube, and Instagram accounts, coordinating a distributed team to deliver 70 daily outputs and increase user acquisition by 39%. Grew branded domain keyword impressions on Google to 25.4K with 18.2K attributed clicks by leveraging SEO and short-form content, and led product/design/marketing work to redesign landing pages and exp

Amazon logoAM

Product Manager Intern

Jun 2024 - Sep 2024 (3 months)

Conducted 25+ stakeholder interviews with industrial engineers and research scientists to identify automation opportunities across BRS analysis, design workflows, and vendor RFP generation. Designed Figma UI/UX prototypes and delivered an ML-powered automation tool roadmapped to a cloud-based simulation and data analytics platform, increasing tool adoption by 35% and delivering $22M in annual savi

SC

Product Manager Intern

Sunlite Industrial Corporation

Jun 2023 - Sep 2023 (3 months)

Drove product strategy for a top 0.1% Amazon seller by synthesizing competitive analysis, market research, and customer feedback to develop and launch three new products from concept through launch. Managed cross-functional relationships with designers, product engineers, and external factory partners to streamline development workflows, increasing sales performance by 20% and expanding market sha

Education

Degrees, certifications, and relevant coursework

University of California, Davis logoUD

University of California, Davis

Bachelor of Science, Cognitive Science (Computational Emphasis)

Activities and societies: Relevant coursework: Artificial Intelligence, Data Structures, Implementation of Data Structures in C, Programming, Theory of Computation, Computational Linguistics, Discrete Mathematics, Linear Algebra, Symbolic Logic.

B.S. in Cognitive Science with a computational emphasis. Coursework includes areas such as artificial intelligence, data structures, and discrete mathematics.

Tech stack

Software and tools used professionally

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