Product Designer

Reposted 5 Days Ago
San Francisco, CA
In-Office
120K-170K Annually
Mid level
Artificial Intelligence • Machine Learning • Software
The Role
Lead product design for core products, iterate based on feedback, collaborate with teams, and ensure intuitive user experience for complex workflows.
Summary Generated by Built In
About Eventual

Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product.


Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens.


We’ve assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With Series A and seed funding from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity, we’re looking to double the team now. Join us—Eventual is just getting started.


Please note we're looking for individuals who are excited to be a part of a tight-knit team working together 4 days / week in our SF Mission district office.

Your Role

We're looking to bring on a designer to lead product design for our core product. As a startup, we have a wide product surface area, covering core managed product, open source dashboards, web design, and more. You’ll work with a tight-knit team that values open communication and cross-functional collaboration.

Key Responsibilities
  • Rapidly iterate on designs based on user feedback

  • Design highly intuitive products and features for complex workflows

  • Contribute strategic thinking to product features and roadmap

  • Own the overall user experience for a wide product area.

  • Collaborate closely with leadership and customer-facing teams to learn about our users and to brainstorm, define, and implement new features and offerings

What We Look For
  • 3-5 years of experience, preferably at a SaaS or data infrastructure company

  • Experience shipping at least one full product or a significant feature as the lead designer

  • Experience iterating with engineers and other team members on both visual and UX designs to get the experience and details just right

  • Great presentation, collaboration and communication skills

  • Empathetic champion for your work’s audience and customers

  • Fluency in Figma and prototyping tools

  • Understanding of the technical limitations and workflow for building web interfaces (CSS/HTML/JS) and native mobile apps (Swift, Kotlin/Java)

Perks & Benefits
  • In-person tight knit team with 4x a week in office

  • Competitive comp and startup equity

  • Catered lunches and dinners for SF employees

  • Commuter benefit

  • Team building events & poker nights

  • Health, vision, and dental coverage

  • Flexible PTO

  • Latest Apple equipment

  • 401k plan with match!

Top Skills

CSS
Figma
HTML
JavaScript
Kotlin
Prototyping Tools
Swift
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The Company
HQ: San Francisco, California
20 Employees

What We Do

Eventual is building a Data Warehouse from the ground up that is designed to tackle the challenges of working with traditional data engineering and analytics alongside modern ML/AI workloads.

Eventual has raised over $2.5M from investors including YCombinator, Array VC, Caffeinated Capital and top Silicon Valley executives and founders in companies such as Meta, Lyft and Databricks.

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