ClickUp
Enterprise · Work management
- HQ
- San Diego, US
- Founded
- 2016
- Website
- clickup.com
Enterprise · Work management
Currently tracking 9 active AI roles, down 66% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $150k–$300k (avg $238k).
ClickUp currently has 17 active job listings related to Artificial Intelligence. The majority of these roles, 76%, are focused on agents. The company is primarily hiring for Engineering positions, with some roles in Product. The United States is the dominant hiring geography. Frequent tech tags include agent_orchestration and llm_observability. In the last 30 days, ClickUp has posted 15 new AI roles, representing a significant increase compared to the previous 30-day period.
ClickUp currently has 14 active AI-related roles in our index. The most common open titles are: Manager, Professional Services, Senior AI Engineer - AI Platform, Senior AI Engineer - AI Product , Senior AI Engineer - Multi-Agent Frameworks, Senior AI Engineer, Voice Platform. Most positions are in Engineering and Product.
ClickUp's active AI hiring is concentrated in: agents (93%), post-training (7%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
ClickUp is hiring AI talent in: United States (14 roles).
Job postings at ClickUp most frequently reference: llm observability, agent orchestration, model serving, rag, tool use.
In the past 30 days, ClickUp has posted 7 new AI-related roles. That is a -50% change versus the prior 30 days (14 → 7).
| Title | Stage | AI score |
|---|---|---|
| Senior AI Engineer, Voice Platform Senior AI Engineer to own and evolve the AI systems behind ClickUp's voice platform, including real-time streaming transcription, intelligent reformatting, context-aware mention detection, and voice-to-action pipelines. The role involves designing, building, and optimizing speech-to-text pipelines, improving transcription accuracy, developing LLM-powered post-processing, building voice-to-action systems, and evaluating ASR models. Collaboration with product and platform teams to ship voice features across various platforms and exploration of multimodal AI capabilities are also key responsibilities. | Post-trainAgent | 7 |