AI Operations Lead

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).

Experience building internal developer platforms, workflow automation platforms, or enterprise automation (e.g., case management, ticketing, CRM, knowledge systems).

As the AI Operations Lead, you’ll be a senior individual contributor who operates across the company to scale how we build and use AI internally.

You’ll partner with our Engineering Enablement and Data Engineering teams on the technical and operational strategy for our internal AI platform, work closely with teams around the company to automate key business flows, and raise the company’s AI fluency through hands-on enablement and clear guidance.

This is a role for someone who can move between architecture reviews, workflow design, vendor evaluation, security/privacy constraints, documentation crafting, and practical enablement, while keeping momentum and trust across many stakeholders.

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.

AI is changing how work gets done across engineering, go-to-market, and business operations. The constraint is no longer “can we build it,” but “can we deploy it safely, repeatably, and in ways that measurably improve outcomes.”

The charter of this role is to make Honeycomb an AI-superpowered company through building/buying, deploying, and evangelizing AI technology. This role exists to make AI at Honeycomb:

Reliable and ubiquitous (platform, architecture, governance)

High-leverage (automating real workflows; helping employees 2x their impact)

Widely adopted (education, enablement, and standards)