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Sonder

On-device vision models automate screen workflows

Product Engineer

Software EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • A track record of shipping thoughtfully designed software and taking responsibility for how it works in practice.
  • Strong TypeScript skills and experience building both interactive interfaces and the application logic behind them.
  • Sound fundamentals in asynchronous programming, data modeling, persistence, and debugging complex applications.
  • Ability to reason from a person's needs to an interaction, prototype quickly, and improve the approach after trying it.
  • Attention to visual and interaction details, supported by the engineering discipline to make the experience dependable.
  • Comfort collaborating with researchers and designers on open-ended problems.

Responsibilities

  • Move from an open product question to a working prototype, then carry it through implementation, testing, and release.
  • Work closely with design on flows, feedback, and interface behavior; use prototypes and direct user feedback to resolve uncertainty.
  • Develop the application logic, data handling, and interfaces behind each experience, making sound decisions about state, concurrency, persistence, and failure recovery.
  • Profile performance across the stack and resolve bottlenecks affecting responsiveness and reliability.
  • Work with researchers to integrate and evaluate new capabilities, and use product learnings to inform further development.
  • Refine onboarding, accessibility, interaction details, and error states, and stay close to how people use the shipped work.

Desired Qualifications

  • Experience building consumer products, desktop applications, or software powered by language and multimodal models.
  • Systems programming experience in Rust or a similar language.

About the Company

Sonder

On-device vision models automate screen workflows

Sonder creates on-device vision models that learn how people work with their screens and act proactively. Its post-training, small vision-language models run directly on consumer laptops, observe user workflows, and convert them into shareable skills that teammates’ agents can reuse. This approach emphasizes local, privacy-conscious processing and enables enterprises to own their intelligence and data by keeping models and observations on their own devices. Compared with cloud-focused competitors, Sonder emphasizes on-device learning, workflow-to-skill translation, and collaboration through shared agent-enabled capabilities. The company’s goal is to empower teams to automate and accelerate work by turning observed screen workflows into reusable, enterprise-grade skills that live within the organization.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, United States
Founded
2026

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