Salesloft
Enterprise · Sales engagement
- HQ
- Atlanta, US
- Founded
- 2011
- Website
- salesloft.com
Salesloft currently has 8 active AI-related job listings. The majority of these roles, 88%, are focused on agents, with 13% in application. The top functions for these positions are Engineering, with 5 roles, and Product, with 3 roles. Hiring is primarily concentrated in the United States, with 6 positions, and India, with 2 positions. The company is frequently seeking candidates with experience in agent orchestration, LLM observability, and RAG. In the last 30 days, Salesloft has added 7 new AI roles, representing a 250% increase compared to the previous 30-day period.
Currently tracking 7 active AI roles, up 25% versus the prior 4 weeks. Primary focus: Agent · Product.
Enterprise · Sales engagement
Salesloft currently has 8 active AI-related roles in our index. The most common open titles are: Principal Engineer - Revenue Management & Intelligence, Principal Software Engineer, AI, Senior Product Manager - Revenue Intelligence, Sr. Data Scientist - Agentic AI, Staff Data Scientist - Agentic AI. Most positions are in Engineering and Product.
Salesloft's active AI hiring is concentrated in: agents (88%), application (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Salesloft is hiring AI talent in: United States (6 roles), India (2 roles).
Job postings at Salesloft most frequently mention: Statistics, Pricing Optimization, Predictive Modeling, Machine Learning, Knowledge Management.
In the past 30 days, Salesloft has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Principal Engineer - Revenue Management & Intelligence Principal Engineer role focused on building AI-driven enterprise-grade applications for revenue management and intelligence. The role involves shaping interfaces, leading cross-functional projects, debugging production issues, owning architecture decisions, and mentoring engineers. Requires expertise in distributed systems, cloud infrastructure, data infrastructure, SQL/NoSQL, and platform monitoring. | Ship | 5 |