Staff AI Operations Lead
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Job Description
Staff AI Operations Lead shipping governed AI workflows across Honeycomb.io’s business operations. Building shared AI infrastructure, enablement, and adoption on the Data team.
Responsibilities:
- Partner with department leaders to identify high-leverage workflows and determine where AI models can help
- Define success metrics such as cycle time, quality, cost, and risk; instrument and report results honestly
- Deliver production-ready systems with evaluation harnesses, human-in-the-loop review, and ongoing monitoring
- Drive user adoption through research, documentation, and implementation plans
- Establish patterns for model access, orchestration, agents, prompt and tool management, evaluation, logging, and cost control
- Build on the Data team's existing infrastructure
- Co-own shared components with Engineering and coordinate dependencies in partner roadmaps
- Create templates, playbooks, golden paths, safety checklists, and evaluation patterns
- Run office hours, demos, and community-of-practice sessions
- Develop AI enablement materials for GTM, operations, and leadership
- Help teams develop judgment about when and how to use AI
- Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy
- Apply data classification standards to AI use cases and define audit-trail requirements for sensitive data in LLM pipelines
Requirements:
- Deep experience shipping systems into real business workflows, including owning a production system end to end that non-technical people depended on daily
- Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, and guardrails
- Ability to learn business functions deeply enough to improve workflows
- Track record of leading cross-functional initiatives without formal authority
- Comfort navigating security, privacy, and compliance tradeoffs, including data classification, retention, access controls, and vendor risk
- Strong teaching instincts, clear writing, and ability to explain complex concepts simply
- Demonstrated ability to stay current as the AI landscape shifts and adapt based on evidence
- SQL fluency and comfort with a modern data stack (dbt, cloud warehouse, BI tooling) (nice to have)
- Experience with workflow automation or enterprise systems such as case management, ticketing, CRM, and knowledge bases (nice to have)
- Familiarity with observability practices for AI systems, including monitoring, quality signals, evaluation pipelines, cost, and latency analysis (nice to have)
- Change management experience across a distributed, multi-function company (nice to have)
- Interest in external evangelism, including writing, speaking, podcasts, and peer groups (nice to have)
- Must be eligible to work in Canada; visa sponsorship or visa transfers are not supported
Benefits:
- Generous equity with employee-friendly stock program
- Transparent pay based on levels relative to experience
- Unlimited PTO
- Distributed-first mindset and culture
- Home office, co-working, and internet stipend
- Full benefits coverage for employees, with additional coverage available for dependents
- Up to 16 weeks of paid parental leave, regardless of path to parenthood
- Annual development allowance
- Reasonable accommodations during the hiring process
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