Growth Software Engineer at Lindy (San Francisco, CA)
Lindy· San Francisco, CA·
Role details
Work type
Onsite
Employment
Full-Time
Job description
Who we are
As a Growth Software Engineer, you will be accelerating Lindy’s growth by rapidly prototyping, launching, iterating and experimenting on our growth funnel and core experiences.
- Collaborate with the founder, PMs, designers, and other engineers to navigate trade-offs and build a world-class product.
- Work with urgency to build critical features with a keen attention to detail and high-quality maintainable code.
- Completely own your features end-to-end, from product requirements, code, testing, observability, rollout and maintenance.
Who you are:
- A passion for building and delivering exceptional products.
- The ability to navigate a fast-paced work environment.
- A hard-working ethic to help build and grow a new startup.
- Exceptional written and oral communication skills.
- Be able to work in a San Francisco office.
- Experience with our technology stack:- Typescript
- Node
- GraphQL
- MongoDB
- Redis
Benefits
- Competitive salary and generous equity.
- Health coverage.
- A lot of autonomy within your area of responsibility.
- The fun of working at a no-nonsense startup that just wants to build an amazing product and business.
Why work at Lindy
- Culture: Described as an “elite institution” with three pillars: being elite, doing the best work of your life, and moving fast. Emphasizes psychological safety (“safe to say ‘I don’t know’”) and mutual support.
- Work model: In-office 4 days a week (Wednesday remote) at SOMA headquarters in San Francisco. Relocation assistance up to $20,000.
- Perks: Competitive salary + generous equity; unlimited time off (“take as much or as little as you need”); US healthcare subsidy (full subsidy for US employees, subsidy program for international); $300/year education budget; O-1/J-1 visa sponsorship and H-1B transfers.
- Team: Small, fast-paced, with deep autonomy in areas of responsibility. Sprints of intense work followed by intense recovery.
- Engineering culture: Honest, immediate feedback; ownership mindset; encouraged to use AI tools.