Note: The job is a remote job and is open to candidates in USA. Honeycomb is hiring a Staff AI Operations Lead to turn slow, manual, or inconsistent business workflows into reliable, measurable automated systems. The role partners across business teams to deliver production AI workflows, build shared practices and infrastructure, enable adoption, and support safe, governable AI use.
Responsibilities
- Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't
- Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work."
- Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring
- Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing
- Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance
- Build on the Data team's existing infrastructure rather than standing up parallel systems
- Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively
- Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns
- Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating
- Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows
- Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked
- Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment
- Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines
Skills
- Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily
- Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable
- The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work
- A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making
- Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk
- Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are
- Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does
- Please note we cannot currently sponsor or support visa transfers at this time
- SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling)
- Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases
- Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis
- Change management experience across a distributed, multi-function company
- Interest in external evangelism — writing, speaking, podcasts, peer groups
Benefits
- A stake in our success - generous equity with employee-friendly stock program
- Time to recharge with unlimited PTO
- A distributed-first mindset and culture; we are a fully distributed company
- 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
Company Overview