Staff AI Platform Engineer responsible for designing, deploying, and operating a governed AI platform for internal systems and workflows. This role focuses on building the foundational infrastructure, security guardrails, and reusable patterns to enable secure and scalable AI adoption across the company, integrating with various enterprise systems and ensuring compliance.

Staff Software Engineer to integrate Generative AI into Cribl's telemetry infrastructure products, focusing on productionizing AI features, working with LLMs, fine-tuning, prompt engineering, and inference platforms.

This role is for a Staff Technical Program Manager at Cribl, a company focused on building telemetry infrastructure for the AI era. The TPM will lead complex product development programs, manage schedules, identify risks, and drive best practices in software development. The role requires experience delivering complex projects across different groups, strong communication and influencing skills, and a working knowledge of AI concepts like machine learning, model lifecycle, and data pipelines. The company is remote-first and operates in a fast-growing market.

This role involves acting as an embedded engineering partner for strategic enterprise customers, integrating Cribl's telemetry platform into their existing tools and workflows. The focus is on building custom solutions, search experiences, and data flows to meet specific customer needs, including those ahead of the product roadmap. The role also involves creating reusable assets like Packs and integrations, and bridging the gap between current customer requirements and future product development by providing feedback to the product and engineering teams. The core function is to engineer complex data and pipeline logic using JavaScript/Node.js and Cribl's framework to solve last-mile problems in large-scale IT and security environments.

This role focuses on building and scaling the infrastructure and telemetry platform that supports AI initiatives within enterprises. The engineer will work on cloud services, distributed systems, and reliability to manage and analyze real-time data for AI applications.

This role is for a Senior Professional Services Consultant at Cribl, a company focused on telemetry infrastructure for the AI era. The consultant will help enterprises manage and analyze their data for AI initiatives, bridging the gap between AI ambition and infrastructure reality. Responsibilities include leading complex customer deployments, providing technical leadership in observability and security, creating educational resources, and facilitating knowledge transfer. The role requires extensive experience in technical consulting, big data analytics, cloud environments (AWS/Azure/GCP), and tools like Splunk, Elastic, and Grafana, with proficiency in scripting languages like JavaScript.

Senior Data Scientist to join and grow internal data science practice, using predictive models and advanced analytics to provide foresight into business outcomes. Role involves end-to-end data science initiatives, building and operationalizing ML models, evaluating model performance, conducting deep-dive analyses, applying statistical modeling and AI-assisted analytics, and communicating findings to stakeholders. Requires experience in experiment design, causal inference, predictive modeling, SQL, Python, and working with large datasets. Familiarity with leveraging LLMs as tools is a plus.

This role is for a Staff Professional Services Consultant at Cribl, a company focused on providing telemetry infrastructure for the AI era. The consultant will help customers manage and analyze telemetry data, bridging the gap between AI ambition and infrastructure reality. The role involves technical leadership in observability and security, leading complex customer engagements, and creating educational resources. It requires extensive experience in cloud environments, big data analytics tools, enterprise applications, and scripting, with a focus on customer success and problem-solving.

This role is a Customer Success Engineer for Cribl, a company providing telemetry infrastructure for the AI era. The role focuses on partnering with IT and Security teams in federal and public sector organizations to help them manage and analyze telemetry data, enabling them to build AI solutions. The engineer acts as a trusted advisor, product expert, and customer advocate, driving value realization and identifying new use cases for Cribl's platform. While the company operates in the AI space and its product is positioned as an 'AI Platform for Telemetry', the core function of this role is customer success and technical advisory, not direct AI/ML model development or research.

This role is for a Senior Staff Software Engineer on the Engineering Productivity team, focusing on improving the software development lifecycle (SDLC) and integrating AI into these processes. The goal is to build the best engineering toolchain, enhance developer experience, and ensure quality, security, and reliability. While the company positions itself as an 'AI Platform for Telemetry' and aims to integrate AI into the SDLC, the core function of this role is engineering productivity and toolchain development, not direct AI model development or research.

Engineering Manager for Cribl Stream Integrations, leading a remote team focused on building and scaling the telemetry infrastructure for the AI era. The role involves managing a team that processes large volumes of IT and security data, providing observability, intelligence, and control for enterprises.

This role is for an Engineering Manager responsible for distributed management components of Cribl's telemetry infrastructure, which supports AI initiatives. The manager will lead a team of backend and frontend engineers, focusing on reliability, scalability, and large-scale distributed deployments. The role involves hands-on leadership, technical guidance, and collaboration with product management and architecture to execute the product roadmap. Experience in distributed systems, SaaS, and managing remote teams is required.

This role is for a Systems Analyst Lead who will act as the product manager for the company's global People technology ecosystem. The individual will be responsible for the configuration and administration of HR systems like Workday, Greenhouse, and Lattice, ensuring seamless data flows and integrations. The role involves designing and optimizing workflows, managing a service desk, building and monitoring integrations, ensuring data integrity and audit readiness, and leading feature rollouts. The ideal candidate will have extensive experience in People Systems/HRIS, particularly with Workday, and possess product management skills to treat the technology stack as a product.

Software Engineer, Core Platform role at Cribl, focusing on backend systems for telemetry infrastructure that supports AI initiatives. The role involves developing, designing, and maintaining scalable distributed systems for data ingestion, processing, and routing, with an emphasis on large-scale data sets and cloud-based platforms. Requires strong CS fundamentals, experience with Node.js/TypeScript, and the ability to comply with FedRAMP security requirements.

This role is for a Senior Accountant at a company that provides telemetry infrastructure for the AI era. The primary focus is on supporting global accounting operations, optimizing processes, and preparing for an IPO. Key responsibilities include general ledger reconciliations, journal entries, and transformation projects to automate processes using technology and AI models. The role also involves evaluating and redesigning financial processes, partnering with the Enterprise Applications team, and leveraging data infrastructure and AI models for efficiency. Collaboration with other departments and audit support are also expected. The role requires strong accounting experience, proficiency in NetSuite and Excel, and knowledge of US GAAP and SOX compliance.

This role focuses on building and expanding the integration of Cribl Search with third-party providers, developing a novel system for distributed and federated search across in-place data. The goal is to enable customers to find, analyze, and visualize operational data regardless of its location or format, acting as the data engine for IT and security.