Namespace

Namespace

Product Engineer

San Francisco surroundings

Sponsorship not specifiedDetected 106 days ago
JavaScriptTypeScriptPythonGoReact

About the role

  • We're looking for people with grit-people who push through ambiguity, take ownership, and keep going when things get hard.
  • You're deeply curious, driven to understand how things work and how they can be improved.
  • Most importantly, you have a strong bias to execution: you don't wait for perfect conditions, you ship, learn, and iterate quickly.

Responsibilities

  • Own and ship end-to-end features that integrate seamlessly with popular developer tools
  • Develop user-facing applications that make powerful infrastructure intuitive and accessible to developers
  • Collaborate directly with users and partners to deeply understand their workflows, pain points, and product needs
  • Continuously iterate on product design and implementation to drive adoption, performance, and reliability
  • Strong software engineering fundamentals, with experience building production-grade software in languages like TypeScript/JavaScript (React), Go, Python, or similar
  • As a Product Engineer at Namespace, you'll develop products that significantly enhance developer productivity.
  • We believe in being fully transparent internally on how decisions are made, on how the company is doing, and we use that information to drive our decisions.

Requirements

  • Proven track record shipping impactful product features, preferably for developer-focused or infrastructure products
  • Customer-centric mindset with the ability to translate complex technical solutions into intuitive user experiences

Compensation

  • Competitive salary and stock options

Benefits

  • We balance our long-term vision with short-term pragmatism.
  • Competitive salary and stock options
  • Flexible working hours
  • Market-leading parental leave
  • Enthusiasm for continuous learning and a collaborative approach to product development

This listing is sourced directly from Namespace's careers page and normalized into a canonical job model.