
Staff AI Operations Lead
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Collaborate with department leaders to identify key workflows and assess where AI models can provide assistance.
• Establish success metrics such as cycle time, quality, cost, and risk; ensure results are measured and reported transparently.
• Implement production systems equipped with evaluation harnesses, human-in-the-loop reviews, and continuous monitoring.
• Promote adoption through user research, comprehensive documentation, and strategic implementation plans.
• Create frameworks for model access, orchestration, agents, prompt and tool management, evaluation, logging, and cost management.
• Enhance the existing infrastructure of the Data team.
• Co-manage shared components with Engineering and coordinate interdependencies in partner roadmaps.
• Develop templates, playbooks, best practices, safety checklists, and evaluation methodologies.
• Facilitate office hours, demonstrations, and community practice sessions.
• Design AI enablement resources for go-to-market strategies, operations, and leadership.
• Assist employees in building the judgment necessary for appropriate AI usage.
• Collaborate with Security, IT, and Legal on access controls, data management, vendor risk, and policy compliance.
• Apply data classification standards to AI use cases and specify necessary audit trails for sensitive data in LLM workflows.
• Extensive experience in deploying systems into real business workflows, managing end-to-end production processes that non-technical staff rely on daily.
• Proficient with contemporary AI technologies: LLMs, retrieval systems, tool utilization and agents, evaluation processes, and guardrails.
• Capacity to learn business functions such as support, sales, or finance sufficiently to enhance them.
• Proven ability to lead cross-functional projects without formal authority.
• Comfortable navigating the complexities of security, privacy, and compliance trade-offs, including data classification, retention, access controls, and vendor risk.
• Strong teaching instincts; adept at simplifying complex concepts and producing clear documentation.
• Proven ability to stay updated with industry changes and adjust perspectives based on new evidence.
• Proficiency in SQL and familiarity with a modern data stack (preferred).
• Experience with workflow automation or enterprise systems (preferred).
• Understanding of observability practices for AI systems (preferred).
• Change management experience within a distributed, multi-functional organization (preferred).
• Interest in external evangelism (preferred).
• Must be able to verify identity and eligibility to work.
• Honeycomb is unable to sponsor or support visa transfers at this time.
• Competitive equity through an employee-friendly stock program.
• Transparent compensation based on experience levels.
• Unlimited paid time off (PTO).
• A distributed-first culture and mindset.
• Stipend for home office, co-working spaces, and internet expenses.
• Comprehensive benefits coverage for employees, with additional options for dependents.
• Up to 16 weeks of paid parental leave, regardless of the path to parenthood.
• Annual development allowance.
• Reasonable accommodations provided during the hiring process.
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