Teams at Honeycomb.io

Lead delivery and growth of Honeycomb Private Cloud, including infrastructure, tooling, operational processes, customer engagements, and cross-organizational engineering priorities. Build and develop a senior engineering team, maintain operational health and on-call practices, support enterprise security and procurement processes, and scale the product for increased demand. The role requires Kubernetes and AWS fluency, customer-facing leadership, strong prioritization, and experience operating software in private cloud, on-premises, or similar environments.

Leads the deployment of AI-powered workflows across business functions, transforming manual processes into measurable, production-ready systems. Partners with department leaders and Engineering to build automation, evaluation, monitoring, governance, and shared AI infrastructure. Develops templates, playbooks, training, and enablement to increase adoption while ensuring security, privacy, compliance, and responsible data use. Requires strong hands-on AI fluency, cross-functional leadership, workflow expertise, and the ability to teach complex concepts clearly.

Executive engineering leader responsible for shaping product and technology strategy, aligning the executive team, communicating direction across a distributed organization, and leading a high-performing engineering organization through AI-driven change. The role requires technical credibility, experience managing large-scale directional shifts, distributed-team leadership, strong written and verbal communication, and the ability to operate strategically amid uncertainty.