Staff Software Engineer - Product

Ashby is seeking a Staff Software Engineer to join their Product team in a remote position based in the UK. This role offers a unique blend of early-stage and growth-stage startup environments, with the autonomy to make significant impact while working with established products that serve thousands of daily users.

The position involves full-stack development using TypeScript, Node.js, React, Apollo GraphQL, Postgres, and Redis. As a Staff Engineer, you'll take ownership of large portions of products and drive projects end-to-end, including product specification, design, and implementation.

Ashby has achieved notable success with customers like Notion, Linear, Shopify, and Snowflake, boasting tens of millions in ARR and growing >100% year over year. The company maintains a unique engineering culture that emphasizes ownership, minimal meetings (<2h per week), and direct impact on product development.

The ideal candidate should be comfortable tackling any part of the technology stack, managing projects with product and technical ambiguity, and balancing speed with quality. You'll work in an environment that values thoughtful communication, collaboration, and continuous improvement.

Key responsibilities include designing and implementing complex features, contributing to core architecture decisions, and working directly with customers to understand and solve their problems. The role offers competitive compensation (£110K – £130K plus equity), unlimited PTO, comprehensive benefits, and a strong focus on work-life balance.

Ashby's engineering team consists of primarily senior-level engineers, with over 90% considered Senior or above in the industry. The company emphasizes building leverage through excellent developer tooling and common components rather than growing team size, allowing for high productivity with regular working hours.

The interview process is structured to be practical and relevant, focusing on past projects, pair programming, and collaborative technical specifications rather than traditional algorithmic challenges. Successful candidates will join a diverse, inclusive team that's building sophisticated software to transform how companies handle their recruiting processes.