Staff Technical Program Manager (Artificial Intelligence)

Join Cribl, a remote-first company that values a fun and collaborative work environment. As a Staff Technical Program Manager, you will play a key role in shaping the future of Technical Program Management at Cribl. You will manage complex product development programs, drive best practices, and influence the strategic direction of teams. Enjoy comprehensive benefits, flexible time off, and a supportive work culture.

• Collaborate on the engineering organization's pivot to an agent-first Software Development Life Cycle (SDLC) across requirements, design, implementation, testing, and deployment.
• Manage cross-system integration and interoperability of the org-wide AI workflow, ensuring agents across Core Platform, SRE, and Support communicate effectively.
• Drive Technical Program Management best practices and develop best of class software development processes.
• Skilled at influencing stakeholders and leadership to develop systems, solutions, and products
• 5+ years of leadership experience on software teams as a Technical Program Manager or Development Manager
• Fluency in providing deep technical, product, and user context to AI systems to achieve high-quality output
• Experience delivering complex projects or solutions that span different groups within an organization
• Experience with common software development tools (e.g. GitHub, bitbucket, Jenkins) and public cloud technology (e.g. AWS, Azure etc)
• Experience designing workflows where AI accelerates execution (coding, triage, diagnostics) without compromising system quality or increasing on-call burden
• Working knowledge of Agentic AI (e.g., machine learning, model lifecycle, data pipelines)
• Adaptability and willingness to learn new skills, technologies, and frameworks
• Excellent verbal and written skills coupled with an ability to present to all levels in an organization, whether explaining your team's analyses and recommendations to executives or discussing the technical trade-offs in product development with engineers
• Machine learning experience, ideally in applied settings where models or AI systems were shipped, integrated, evaluated, or operated in production