Cresta currently has 50 active AI-related job listings. The majority of these roles, 66%, are focused on agents, with serving infrastructure and post-training each representing 10% of the openings. Engineering is the top function for hiring. Recent activity shows a significant increase in new AI roles, with 4 new positions posted in the last 30 days, a 100% increase compared to the previous 30-day period.
Currently tracking 36 active AI roles, down 20% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $60k–$280k (avg $188k).
Cresta currently has 42 active AI-related roles in our index. The most common open titles are: Infrastructure Engineer/SRE (3), Senior Forward Deployed Engineer (AI Agent) (3), Senior Full Stack Engineer - Conversation Intelligence (2), AI Quality Assurance Intern, Associate Conversational AI Designer. Most positions are in Engineering and Product.
Cresta's active AI hiring is concentrated in: agents (67%), serving infrastructure (12%), post-training (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cresta is hiring AI talent in: United States (15 roles), Canada (12 roles), United Kingdom (3 roles), Romania (2 roles).
Job postings at Cresta most frequently reference: agent orchestration, model serving, llm observability, rag, tool use.
In the past 30 days, Cresta has posted 2 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer - Automatic Speech Recognition (ASR) Senior Machine Learning Engineer focused on Automatic Speech Recognition (ASR) and downstream NLP systems. The role involves designing and implementing evaluation frameworks, leading ASR quality improvement efforts, analyzing speech and text data, developing ML models, and collaborating with research, product, and platform teams to ensure model performance translates to business impact. Emphasis on model evaluation, measurement, and quality improvements. | ShipData | 8 |
| Senior Software Engineer, Backend (Taiwan) Senior Backend Engineer role at Cresta, an AI company focused on customer experience. The role involves building and maintaining scalable backend services, APIs, and distributed systems that power AI-driven products, including conversational AI agents and real-time agent augmentation. The engineer will partner with ML engineers and data scientists, and own system reliability and performance. Requires 5+ years of backend experience, proficiency in Go and Python, and experience with Elasticsearch. |
| Ship |
| 5 |
| AI Deployment Manager, EMEA This role focuses on deploying AI solutions for enterprise customers, ensuring successful adoption and measurable business outcomes. It involves leading customer deployments end-to-end, translating complex AI technology into actionable plans, and working closely with product and engineering teams. The role is critical for scaling Cresta's presence in the EMEA region. | Ship | 5 |
| GTM Engineer This GTM Engineer role focuses on rebuilding go-to-market operations using AI and automation. The engineer will work with leadership to design and deploy an AI-native operating system for the revenue engine, prioritizing accounts, eliminating manual work, automating deal execution, and optimizing the GTM system. The role requires strong technical ability, GTM understanding, and an entrepreneurial mindset. | Ship | 5 |
| AI Value Partner, Customer Analytics This role focuses on measuring and demonstrating the value of Cresta's AI platform to enterprise customers. The AI Value Partner will design experiments, analyze conversational and operational data, build dashboards, and develop statistical or ML models to quantify customer impact and support ROI discussions. The role requires strong analytical, statistical, and communication skills, with experience in SQL, Python, and dashboarding tools. | Ship | 5 |
| Senior Solutions Architect Senior Solutions Architect role focused on integrating Cresta's AI platform with enterprise systems, spanning pre-sales to post-sales technical architecture and implementation support. Requires deep understanding of CX, contact center infrastructure, cloud platforms, and Generative AI solutions. | Ship | 5 |