Gremlin is hiring a Senior Content Marketing Manager to lead content strategy and execution for a B2B SaaS reliability platform. Responsibilities include owning SEO/AEO/GEO visibility, building an executive thought leadership program, producing written and video content, managing agency partners, implementing AI content workflows, and reporting content-influenced leads and pipeline. Requires 5+ years in B2B SaaS content marketing and hands-on experience with AI tools and SEO/analytics platforms. Listed salary range: $145,000–$165,000.

Gremlin is hiring a Senior Backend/Software Engineer to develop Chaos Engineering tooling. The role is remote and US-based. Required experience includes 5+ years in Java, experience with Go and systems-level programming, cloud technologies (e.g., AWS, Lambda, Serverless), databases such as DynamoDB/NoSQL or relational DBs, and infrastructure tools like Linux, Docker, and Kubernetes/OpenShift. The role emphasizes building and operating distributed systems, CI/CD and automated testing; on-call/incident experience is a bonus. Salary range is $220k–$290k. The role does not offer visa sponsorship.

Gremlin seeks a Data Scientist, AI/ML to analyze millions of chaos engineering experiments and build ML systems that detect, classify, explain, and remediate failures. Responsibilities include pretraining/fine-tuning models, developing scalable data pipelines and feature stores for training and real-time inference, and applying techniques such as causal inference, graph ML, time-series modeling, and reinforcement learning. The role requires 5+ years of professional experience building and productionizing machine learning systems; the position is remote and based in the US and does not offer visa sponsorship.

Gremlin seeks a Solutions Architect for a pre- and post-sales role to demonstrate the Gremlin Reliability Platform, lead proofs-of-concept, consult on resilient architectures, and assist customers with technical projects and troubleshooting. Requires 5+ years as a Solutions Architect and hands-on experience with Kubernetes, Linux, containers, cloud providers (AWS/Azure/GCP), observability, CI/CD, and related DevOps/SRE practices.