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Senior Full Stack Engineer, Growth

Calendly
17 days ago
Full-time
Remote
Worldwide
Remote Engineering

What’s in it for you? 

Ready to make a serious impact? Millions of people already rely on Calendly, and we’re still in the midst of exciting product growth — it’s a fantastic time to join us. Everything you’ll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you’ve ever worked with, then we hope you’ll consider allowing Calendly to be a part of your professional journey.

About the team & opportunity

This role focuses on building and running high-impact experiments that improve how users discover, adopt, and pay for Calendly within our Growth organization. You’ll work across the stack, partner closely with product and analysts, and ship changes that are measured in real business outcomes.

This is not a traditional feature team role. The work is fast-moving, iterative, and data-driven. You’ll regularly balance speed, quality, and long-term maintainability while operating in an environment with incomplete information.

What we value on Growth

  • Ownership and follow-through; You care about results and learning, not just delivery
  • Sound judgment paired with a bias toward action
  • Technical leadership that raises the bar for the team
  • Curiosity, humility, and openness to diverse perspectives

A day in the life of a Senior Full Stack Engineer at Calendly

  • Design, build, and ship full-stack growth experiments end-to-end
  • Improve key metrics across acquisition, activation, engagement, and monetization
  • Collaborate daily with product managers, designers, and analysts
  • Analyze experiment results and iterate quickly based on data
  • Contribute to our experimentation platform and growth infrastructure
  • Make thoughtful engineering tradeoffs in pursuit of impact

On a typical week, you might:

  • Build and ship an experiment that impacts a core funnel step
  • Partner with product, design, and analysts to refine a hypothesis or flow
  • Review experiment results and decide what to iterate, keep, or remove
  • Improve or extend internal tooling that supports experimentation
  • Review code, mentor teammates, and participate in team ceremonies

What do we need from you?