Software Engineer

Handshake · Enterprise · San Francisco, CA · Engineering

Software Engineer role at Handshake, a company with a rapidly growing AI data business. The role focuses on building full-stack systems for core user experiences, including AI-powered features, backend scaling, and frontend development. The company partners with frontier AI labs and aims to shape career evolution in the AI economy.

What you'd actually do

  1. Design and implement scalable full-stack systems powering core user journeys, including search, discovery, matching, and onboarding flows.
  2. Build and iterate on product features across frontend and backend surfaces, balancing speed with code quality and correctness.
  3. Ship backend APIs, asynchronous workflows, and frontend experiences that are reliable, scalable, and intuitive.
  4. Partner closely with product managers and designers to translate requirements into polished, end-to-end user experiences.
  5. Write high-quality, maintainable code while contributing to code reviews and engineering best practices.

Skills

Required

  • 2+ years of professional software engineering experience building full-stack applications.
  • Strong proficiency in TypeScript, with comfort working across frontend and backend.
  • Experience with modern web stacks (e.g., React, Next.js, GraphQL, Ruby on Rails).
  • Solid understanding of relational databases (e.g., PostgreSQL) and data modeling.
  • Product-oriented mindset with a focus on user experience and business outcomes.
  • Strong communication skills and comfort collaborating cross-functionally with product, design, and other engineering teams.
  • Comfortable working in a fast-paced, dynamic environment with a focus on continuous learning and improvement.

Nice to have

  • Experience with AI-powered products, chatbots, conversational interfaces, or agentic frameworks (e.g., OpenAI APIs).
  • Familiarity with workflow orchestration tools such as Temporal or asynchronous job systems.
  • Exposure to matching systems, marketplaces, or multi-step onboarding flows.
  • Experience with cloud infrastructure (AWS, GCP) and deployment pipelines.
  • Background at high-growth or scaling technology companies.
  • Familiarity with component libraries, design systems, and building reusable interfaces for rapid deployment.

What the JD emphasized

  • fast-growing AI data business
  • partner hand-in-hand with world-class AI labs
  • AI-powered features