Sijie Wang

Anyscale is a Series-C startup (backed by a16z, NEA, Addition etc.) in the AI infrastructure space. It's the company behind the most popular distributed computing framework Ray that powers AI research and production at OpenAI, Uber, Airbnb, Spotify, LinkedIn etc.

UX org building

Built and cultivated the user experience department from scratch, including the hiring process, career ladders, and the performance review framework.

Established and own various cross-functional processes to foster a company-wide user-centered product development culture.

Zero-to-one

Led the team to bootstrap the UX layer for Anyscale's open-source and commercial AI product offerings, establishing UX visions and iterating according to the business priorities and the very dynamic landscape, contributing to the rapid growth of the open-source product adoption and the commercial product usage.

The UX team's work includes foundational user research, interaction and visual design, developer-facing documentation design, observability dashboard and data visualization, command-line interface and SDK usability, and so on.

Hands-on designed key products such as Anyscale Endpoints for Generative AI, Anyscale Workspaces for distributed application development, and Anyscale Jobs and Services. These features are the main revenue drivers for Anyscale today.

Zero-to-one

Founding designer. Led the team to design and scale Google Cloud AI from zero to the most comprehensive enterprise machine learning platform including:

• Model training service
• Online and batch inference services
• Open-source and managed Kubeflow ML Pipeline
• AI Workbench
• Feature Store
• ML experiment and metadata management

Break down siloed UX

Siloed user experience (UX) often happens when a company's product line grows quickly. Initially, each product focuses on fitting into the market, sometimes ignoring how it integrates with other products. However, as product lines mature, there's a need to streamline cross-product user journeys for the platform's compounding value to shine. This shift towards a cohesive user experience can be challenging both technically and organizationally.

At Google Cloud AI, I initiated and led an org-wide (200+ engineers + designer) initiative to address this issue. The team re-architected 7 products into a unified platform which became Vertex AI.

Zero-to-one

Android TV was a relatively nascent product in the Android family back in 2014. I led the design of the first 4 generations of the product to grow it from 0 to 10M users globally. My work included:

• A content-centric discovery experience so that users can spend less time clicking and more time entertaining.
• Infusing AI (Google Assistant) to systematically up-level the entertainment experience.
• An out-of-box experience that utilizes a companion device to streamline setup.
• Key ecosystem components e.g. Play Store for TV, Google Photos for TV, Gaming, third-party app user identity management.
• Core features e.g. playback control, system settings, DVR.