Sierra
AI Frontier · AI agents
- HQ
- Bellevue, US
- Founded
- 1979
- Website
- sierragames.com
Sierra has 78 active AI-related job listings, with a strong emphasis on roles within the agents stage, which accounts for 92% of their openings. The top functions for these roles are evenly split between Product and Engineering. The majority of these positions are located in the United States and the United Kingdom. Frequent technical tags include agent orchestration, evals, and RAG, suggesting a focus on agent development and deployment. In the last 30 days, Sierra posted 5 new AI roles, a decrease of 69% compared to the previous 30-day period.
Currently tracking 69 active AI roles, up 13% versus the prior 4 weeks. Primary focus: Agent · Engineering.
AI Frontier · AI agents
Sierra currently has 76 active AI-related roles in our index. The most common open titles are: Software Engineer, Agent (8), Strategist, Agent Development (4), Strategist, Agent Development (Spanish speaking) (3), Agent Engineer, TLM (2), Agent Experience Designer, Voice (Multilingual) (2). Most positions are in Engineering and Product.
Sierra's active AI hiring is concentrated in: agents (92%), application (4%), serving infrastructure (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Sierra is hiring AI talent in: United States (38 roles), United Kingdom (23 roles), Singapore (6 roles), Spain (2 roles).
Job postings at Sierra most frequently mention: Product Management, Agentic Systems, Machine Learning, Software Engineering, Production-Grade Code.
In the past 30 days, Sierra has posted 5 new AI-related roles. That is a -37% change versus the prior 30 days (8 → 5).
| Title | Stage | AI score |
|---|---|---|
| Strategist, Agent Development This role focuses on the product strategy and development of AI agents for customer experiences, involving scoping, building, and shipping these agents. The strategist will partner with product managers and engineers, combining product strategy, conversational design, and customer insights to bring high-quality agents to life. Responsibilities include advising customers on AI strategies, building and refining conversational AI agents, driving execution of agent development projects, and coordinating stakeholders throughout the development lifecycle. | Agent | 7 |