The opportunity
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.
What you'll do
Drives business insights, strategic decision making, executive level and: cross organizational business growth, and magical customer experiences for our end customers through impactful innovation.
Works closely with product, design, marketing, customer success, and: engineering teams to implement ML models that improve the customer journey in service to growth and efficiency (for example, understanding the relationships among customers’ behavior and business performance).
Has a strong product focus and passion for using machine learning to solve: real world problems, and understands that being an effective MLE is about collaborating with people as much as it is about writing code.
Own ML powered features from design through deployment, partnering with: product, design, and engineering to scope work and define success metrics.
Understand and share domain knowledge, answering domain specific questions: for your product area and documenting what you learn for the team.
Prioritize your work independently, balancing feature development, quality,: and maintenance, and communicating tradeoffs clearly.
What they're looking for
- Proactively seek and offer support to teammates pairing, reviewing, and: collaborating to move projects forward.
- Understand and troubleshoot our deployment pipelines, including build, test,: and release steps for ML services and data pipelines.
- Use our monitoring and observability tools to effectively triage alerts and: incidents, collaborating with partners to restore service and prevent recurrence, and participate in the team’s on-call rotation and incident response.
- Serve as a subject matter expert for the features and services you own,: including their data contracts, SLAs, and dependencies.
