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Handshake is a career platform serving 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. The company recently launched Handshake AI, a rapidly growing AI data business that partners with frontier AI labs and Fortune 500 companies, generating ~$1B run rate and distributing ~$60M monthly to over 30,000 individuals.
As a Senior Software Engineer on the Growth team, you will design, build, and ship experiments across the user funnel—onboarding, activation, retention, and notifications—with a focus on measurable impact. You'll architect and scale distributed systems to support millions of users while maintaining high availability and performance. Working closely with Product Managers and Data Scientists, you'll translate growth hypotheses into technical designs and shippable experiments. You'll also mentor and elevate engineers across the team, fostering a culture of technical excellence. The role requires balancing speed and rigor: knowing when to move fast with lightweight tests and when a feature needs production-grade durability.
This is a full-time, onsite position requiring 5 days per week in the San Francisco office.
REQUIREMENTS:
- 5+ years of professional software engineering experience, ideally with exposure to consumer-facing or growth-focused products
- Strong fundamentals in backend and/or full-stack development (e.g., Ruby on Rails, GraphQL, React, or equivalent)
- Experience building or working within experimentation platforms (feature flagging, A/B testing frameworks, statistical significance tooling)
- Track record of shipping iteratively and learning from real user data
- Strong collaboration skills with PMs, designers, and data scientists; ability to communicate trade-offs clearly
- Growth mindset: curiosity about why something worked or didn't, not just whether it shipped
DESIRABLE:
- Background in notifications, acquisition, user authentication/authorization at scale
- Mobile growth experience (iOS/Android) alongside web
- Familiarity with LLM-powered features or AI-assisted product experiences
- Prior experience in high-growth or rapidly scaling environments
