Currently tracking 3 active AI roles, with 11 new openings in the last 4 weeks. Primary focus: Ship · Engineering. Salary range $198k–$300k (avg $246k).
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 6 active AI-related roles in our index. The most common open titles are: Engineering Manager, IAM and Trust & Safety, Machine Learning Engineer, Senior Director, Software Engineering, Senior Engineering Manager, Data Platform, Senior Machine Learning Engineer. Most positions are in Engineering and Product.
Calendly's active AI hiring is concentrated in: application (50%), agents (33%), data (17%). 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 2 new AI-related roles.
| 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 |
| 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 |