F

Fal

NLP-based sentiment & anomaly detection

Senior Product Designer

Product DesignConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Responsibilities

  • Own end-to-end product design for features, from problem framing through flows, user interface, states and edge cases, handoff, quality assurance, and iteration.
  • Design across web and true mobile experiences, including dedicated mobile screens and mobile patterns rather than only responsive web.
  • Help build and maintain the design system, including components, tokens, patterns, and documentation, and drive adoption with engineering.
  • Prototype quickly using Figma and AI or vibe-coding tools when useful to validate design direction.
  • Partner with Engineering and Product Management to ship quickly, maintain quality, and improve after launch using feedback.
  • Conduct lightweight user research and testing, including usability checks, customer calls, and quick validation.
  • Create Google Slides decks and light graphic or brand assets when needed.

Desired Qualifications

  • Familiarity with generative media, large language models, image or video models, and related user experience patterns for prompts, parameters, evaluation, and latency-quality tradeoffs.
  • Front-end literacy in React, TypeScript, or CSS, and/or experience with Storybook-style component workflows.
  • Willingness to support occasional lightweight go-to-market and design needs, including pitch decks in Google Slides and basic graphic design for visuals, social cards, and light marketing assets.
  • Experience or interest in graphic design or brand design sufficient to contribute when needed.

About the Company

Fal

NLP-based sentiment & anomaly detection

Fal.ai enables data-driven businesses to improve analytics using natural language processing and machine learning, focusing on sentiment analysis and anomaly detection within dbt data models. It analyzes text such as customer reviews, support tickets, and surveys to classify sentiment (positive, negative, neutral) and spots unusual patterns in data transformations. The service integrates with existing data infrastructure that uses dbt models and is sold through tiered subscriptions that include basic sentiment analysis, advanced anomaly detection, and premium support. Its goal is to help organizations make informed decisions and improve customer satisfaction by delivering continuous analytics enablement and actionable insights.

Company size
201-500
Company stage
Late Stage VC
Total funding
$2.2B
Headquarters
Seattle, WA
Founded
2021

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