Staff AI Operations Lead

Honeycomb.io

. Partner with department leaders to identify high-leverage workflows and determine where AI models help .

Posted 10/14/2026full-timeRemote • United StatesSenior💰 $225,000 - $265,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying AI models within business workflows, ensuring effective monitoring and evaluation while collaborating with cross-functional teams. Proficient in navigating security, privacy, and compliance considerations related to AI implementation.

Highest-signal resume keywords

AI Model DeploymentCross-Functional LeadershipData Classification StandardsSQL FluencyWorkflow Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI StacksLLMsEvaluationData HandlingTool ManagementPrompt ManagementCost ControlObservability PracticesChange ManagementBusiness Function Improvement

Soft Skills

Teaching InstinctsClear DocumentationAdaptability

Tools & Technologies

Modern Data StackEnterprise Systems

Industry Keywords

SecurityPrivacyComplianceVendor RiskAudit Trails

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Partner with department leaders to identify high-leverage workflows and determine where AI models help
Define success metrics such as cycle time, quality, cost, and risk; instrument and report results honestly
Deliver production systems with evaluation harnesses, human-in-the-loop review, and ongoing monitoring
Drive adoption through user 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 employees 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 required audit trails for sensitive data in LLM pipelines

Requirements

What you’ll need

Deep experience shipping systems into real business workflows, owning 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, and guardrails
Ability to learn business functions such as support, sales, or finance well enough to improve them
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; ability to explain complex things simply and write clear documentation
Demonstrated ability to stay current as the landscape shifts and change your mind based on evidence
SQL fluency and comfort in a modern data stack (nice to have)
Experience with workflow automation or enterprise systems (nice to have)
Familiarity with observability practices for AI systems (nice to have)
Change management experience across a distributed, multi-function company (nice to have)
Interest in external evangelism (nice to have)
Must be able to verify identity and eligibility to work
Honeycomb cannot currently sponsor or support visa transfers

Benefits

Comp & perks

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