Calendly
Enterprise · Scheduling
- Founded
- 2013
- Website
- calendly.com
Currently tracking 3 active AI roles, down 23% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $198k–$300k (avg $246k).
Enterprise · Scheduling
Calendly currently has five active job listings related to artificial intelligence. The application stage accounts for 60% of these roles, with the agents stage making up the remaining 40%. Engineering is the primary function for these positions. Frequent technical tags associated with these roles include fine_tuning, model_serving, and rag. Calendly has posted three new AI roles in the last 30 days.
Calendly currently has 5 active AI-related roles in our index. The most common open titles are: Machine Learning Engineer, Senior Director, Software Engineering, Senior Engineering Manager, Data Platform, Senior Machine Learning Engineer, Staff Product Manager, New Products. Most positions are in Engineering and Product.
Calendly's active AI hiring is concentrated in: application (60%), agents (20%), data (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Calendly is hiring AI talent in: United States (1 role).
Job postings at Calendly most frequently reference: fine tuning, model serving, rag, vector db, agent orchestration.
In the past 30 days, Calendly has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer Senior Machine Learning Engineer at Calendly to build and operate AI-powered features for customers, focusing on GenAI products and delivering business value. Requires strong experience in shipping and operating production AI/ML applications, system design, and programming skills. | Ship | 7 |
| Staff Product Manager, New Products Staff Product Manager to lead 0->1 innovation for new AI-powered product experiences at Calendly, transforming how solopreneurs and small businesses run and grow their business. This role involves identifying, incubating, and scaling new product lines that extend Calendly's value beyond scheduling, leveraging AI for intelligent and effortless user experiences. | Agent | 7 |
| Machine Learning Engineer Machine Learning Engineer at Calendly to deliver business value by executing the full machine learning lifecycle hands-on, from problem discovery through model deployment and monitoring. Build and operate ML-powered features that create magical experiences for customers. This role is part of a high performing AI team and will be an integral part of building new, machine learning based experiences for internal and external customers. | ShipServe | 7 |