Currently tracking 10 active AI roles, down 32% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $134k–$261k (avg $202k).
Enterprise · B2B data
| Title | Stage | AI score |
|---|---|---|
| Senior Data Engineer Senior Data Engineer to design and expand enterprise-level data infrastructure for internal teams to interact with data comprehensively. Role involves integrating diverse data sources into AI applications, including LLM-powered systems, and implementing architectures for RAG and advanced search. | DataAgent | 5 |
| Senior DevOps Engineer Senior DevOps Engineer role focused on driving data infrastructure and CI/CD pipeline standards, managing cloud services on AWS/GCP with Kubernetes, Terraform, and Python automation, and implementing SRE best practices for reliability and cost optimization. | — | 0 |
| Software Engineer III Software Engineer III with an emphasis on backend to join the Chorus Platform team. The Chorus.ai platform processes and analyzes sales calls to provide insights into sales performance, deal risks, and next steps. The role involves designing, building, and deploying complex distributed systems and 3rd party integrations, handling millions of customer requests daily. |
| — |
| 0 |
| Senior DevOps Engineer Senior DevOps Engineer role focused on building and maintaining CI/CD platforms, automating SDLC tasks, managing Kubernetes ecosystems, and provisioning cloud environments on GCP and AWS. The role emphasizes ownership, software-first infrastructure, and global collaboration. | — | 0 |
| Senior Software Engineer - Web Data Team Senior Software Engineer to join the Web Data team, focusing on building and operating large-scale web crawling and data extraction infrastructure. This role involves designing and implementing scalable, fault-tolerant pipelines, writing production code in Java and Python, working with cloud infrastructure (GCP/AWS, GKE), and improving system observability and reliability. The position emphasizes strong software engineering fundamentals and experience with data engineering and cloud technologies. | — | 0 |
| Staff Data Systems Analyst This role focuses on understanding and improving a company's data pipeline, which ingests, processes, and profiles millions of company records. The analyst will build expertise in data flow, read code to understand transformations, contribute to design conversations, and lead strategic data improvement initiatives. The role requires systems thinking, technical depth in data pipelines and ETL, and the ability to solve ambiguous data challenges. | — | 0 |
| Senior Data Pipeline Analyst This role focuses on becoming an expert in the company's data pipeline, which ingests, processes, and profiles millions of company records. The analyst will read code to understand data transformations, contribute to design conversations with Engineering and Product, and shape the evolution of the data infrastructure. The role involves solving ambiguous data challenges and ensuring the pipeline infrastructure evolves to meet customer needs. It requires systems thinking, technical depth in data pipelines/ETL, and the ability to analyze code (Python, Java, SQL). | — | 0 |
| Senior Data Engineering Analyst Seeking a Senior Data Systems Analyst to become an expert on the company's data pipeline, which ingests, processes, and profiles millions of company records. The role involves building deep expertise in data flow, reading code for transformations, contributing to design conversations, and leading strategic data improvement initiatives. This position focuses on understanding data systems at an architectural level and ensuring pipeline infrastructure evolves to meet customer needs. | — | 0 |
| Senior Analytics Engineer This role focuses on becoming an expert in the company's data pipeline, which ingests, processes, and profiles company records. The Senior Data Systems Analyst will build deep expertise in data flow from acquisition through profiling, read code to understand transformations and dependencies, contribute to design conversations with Engineering and Product, and lead strategic data improvement initiatives. The role emphasizes understanding data systems at an architectural level, solving ambiguous data challenges, and evolving pipeline infrastructure. It involves working with Python, Java, SQL, and data processing infrastructure. | — | 0 |
| Senior Data Systems Analyst This role focuses on understanding and improving a company's data pipeline, which ingests, processes, and profiles millions of company records. The analyst will build expertise in data flow, transformations, and system dependencies, contributing to design conversations and leading strategic data improvement initiatives. The role requires systems thinking, technical depth in data pipelines/ETL, and the ability to solve ambiguous data challenges. | — | 0 |