Salesloft
Enterprise · Sales engagement
- HQ
- Atlanta, US
- Founded
- 2011
- Website
- salesloft.com
Enterprise · Sales engagement
Currently tracking 7 active AI roles, up 25% versus the prior 4 weeks. Primary focus: Agent · Product.
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.
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 |
|---|---|---|
| Staff Data Scientist - Agentic AI Staff Data Scientist focused on building and operating production AI agents for an enterprise revenue platform. Responsibilities include defining agent architecture, engineering core components (reasoning, harness, memory, tool calling), designing planning and multi-step reasoning strategies, implementing guardrails and evaluation frameworks, applying GenAI to revenue models, coordinating multi-agent systems, and providing technical leadership and mentorship. Requires significant hands-on experience building production AI agents. | Agent | 9 |
| Sr. Data Scientist - Agentic AI This role focuses on building and implementing agentic AI capabilities for enterprise revenue teams. The Sr. Data Scientist will prototype, implement, and own the evaluation of LLM-based inferences, RAG pipelines, and agents, partnering with engineering to deploy solutions into production. The role requires strong Python and SQL skills, experience in core NLP/ML, and a hands-on builder mentality. |
| Agent |
| 8 |
| Staff Engineer, Revenue Management & Intelligence Staff Engineer role focused on building LLM-powered and agentic systems for enterprise revenue management, requiring expertise in distributed systems, cloud infrastructure, and AI tooling. The role involves shaping interfaces, developing new features, debugging production issues, and improving AI tooling adoption. | AgentServe | 7 |
| Principal Software Engineer, AI Principal Software Engineer, AI to lead the design and build-out of the AI Context Layer, a data platform that gives AI agents access to high-quality, well-governed context. This includes a knowledge graph, RAG engines, retrieval/search infrastructure, and the associated access control and governance systems. The role requires deep expertise in RAG architectures, vector databases, and retrieval systems, as well as experience designing developer-facing APIs and SDKs, and understanding data governance requirements. | AgentData | 7 |