Staff AI Operations Lead

Honeycomb.io

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

Posted 10/14/2026full-timeRemote • CanadaSenior💰 CA$310,000 - CA$360,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying AI models within business workflows, ensuring production readiness and user adoption through effective documentation and training. Proficient in navigating security, privacy, and compliance considerations while collaborating across departments to enhance operational efficiency.

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 StacksLLMsEvaluation PipelinesData HandlingMonitoring Practices

Soft Skills

Clear WritingTeaching InstinctsComplex Concept Explanation

Tools & Technologies

Modern Data StackDbtCloud WarehouseBI ToolingCase Management Systems

Industry Keywords

SecurityPrivacyComplianceVendor RiskChange Management

Tech Stack

Tools & technologies

CloudSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Deep experience shipping systems into real business workflows, including owning a production system end to end 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 deeply enough to improve workflows
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, clear writing, and ability to explain complex concepts simply
Demonstrated ability to stay current as the AI landscape shifts and adapt based on evidence
SQL fluency and comfort with a modern data stack (dbt, cloud warehouse, BI tooling) (nice to have)
Experience with workflow automation or enterprise systems such as case management, ticketing, CRM, and knowledge bases (nice to have)
Familiarity with observability practices for AI systems, including monitoring, quality signals, evaluation pipelines, cost, and latency analysis (nice to have)
Change management experience across a distributed, multi-function company (nice to have)
Interest in external evangelism, including writing, speaking, podcasts, and peer groups (nice to have)
Must be eligible to work in Canada; visa sponsorship or visa transfers are not supported

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