Staff AI Operations Lead - Honeycomb

What We’re Building

Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well-known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard across a range of industries.

About the Problem Space

AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working."

Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering.

You'll sit on the Data team, which is where this work belongs. Our team operates at the seam between the business and its systems, partnering daily with RevOps, Customer Success, Sales, and Product while owning the data infrastructure these workflows depend on.

What You'll Do

You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, leaving behind shared scaffolding.

Ship Automated Workflows End to End

• Partner with department leaders to identify the highest-leverage workflows in their orgs.
• Define success before you build: cycle time, quality, cost, and risk. Instrument and report on it honestly.
• Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review, and ongoing monitoring.
• Iterate on adoption with user research, documentation, and a clear plan for usage.

Build the Shared Substrate

• Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control.
• Build on the Data team's existing infrastructure rather than standing up parallel systems.
• Co-own shared components with your counterpart in Engineering.

Make the Company Fluent

• Create templates, playbooks, and golden paths (prompt patterns, agent patterns, safety checklists).
• Run office hours, demos, and community-of-practice sessions.
• Develop enablement material for GTM, operations, and leadership.

Keep it Safe and Governable

• Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy.
• Apply data classification standards to AI use cases (retrieval context, audit trails).

What You'll Bring

• Deep experience shipping systems into real business workflows that non-technical people depend on daily.
• Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, and guardrails.
• Ability to learn someone else's job well enough to improve it across support, sales, or finance.
• Track record of leading cross-functional initiatives without formal authority.
• Comfort navigating security, privacy, and compliance tradeoffs.
• Strong teaching instincts and clear communication skills.

What You'll Get

• A stake in our success with a generous equity program
• Transparent pay based on levels relative to experience
• Time to recharge with unlimited PTO
• A distributed-first mindset and culture
• Home office, co-working, and internet stipends
• Full health benefits coverage
• Up to 16 weeks of paid parental leave
• Annual development allowance