Honeycomb.io

AI Operations Lead

Honeycomb.io

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $254,000 - $299,000 per year

Job Level

Senior

About the role

  • Own our internal, company-wide AI strategy, building a roadmap that balances quick wins with foundational platform investments.
  • Supervise the architecture of our internal AI platform, guiding our Engineering Enablement and Data Engineering teams to find the right approach for both Engineering and company-wide AI platform capabilities.
  • Support the creation reference architecture for internal AI capabilities: model access, orchestration/agents, prompt and tool management, evaluation, logging/telemetry, and cost controls.
  • Partner with engineering and data to ensure AI platform components are built on shared infrastructure rather than point solutions. Identify AI workload dependencies early and bring those requirements into partner roadmaps collaboratively.
  • Partner with security/IT/engineering/data on access control, data handling, vendor risk, and policy implementation, making sure that employees have a clear, safe path to experiment and move quickly with AI technologies.
  • Partner with data, analytics, and security to establish shared data classification standards for AI use cases — what data can be used for retrieval or context, and what audit trails are needed when sensitive data flows through LLM pipelines.
  • Work with engineers and departmental SMEs to automate key business flows with AI across the company: Identify the highest-leverage internal workflows to automate (e.g., support triage, sales/CS enablement, incident follow-ups, internal knowledge retrieval, finance ops, talent ops).
  • Lead cross-functional discovery to define success metrics (cycle time, quality, cost, risk) and then deliver end-to-end solutions.
  • Build lightweight product thinking around internal tools: user research, iteration loops, documentation, and adoption plans.
  • Establish measurement: evaluation harnesses, human-in-the-loop review where appropriate, and ongoing performance monitoring.
  • Evangelize and educate our employee base on AI tooling and core concepts: Create templates, playbooks, and “golden paths” (prompt patterns, agent patterns, safety checklists, skills, evaluation patterns).

Requirements

  • Proven ability to stay current on the state of AI technology, evolving your perspective and approaches as the landscape changes.
  • Significant experience as a senior IC building and operating production-grade platforms or internal systems with high trust requirements.
  • Experience architecting modern AI stacks (LLMs, RAG, tool use/agents, evaluation, guardrails), combined with the judgment and pragmatism to keep things shippable.
  • Track record of leading cross-functional initiatives with and 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).
  • Ability to teach and influence: you can explain complex topics simply, write clear docs, and meet people where they are.
  • Nice to have: Experience building internal developer platforms, workflow automation platforms, or enterprise automation (e.g., case management, ticketing, CRM, knowledge systems).
Benefits
  • A stake in our success - generous equity with employee-friendly stock program
  • It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
  • Time to recharge - Unlimited PTO and paid sabbatical
  • A distributed-first mindset and culture (really!)
  • 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
  • And much more...
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI strategyAI platform architecturemodel accessorchestrationprompt managementtool managementevaluationloggingtelemetrycost controls
Soft Skills
leadershipcross-functional collaborationdecision-makingteachinginfluencinguser researchdocumentationiterationcommunicationclarity