About the company
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Staff AI Operations Lead based in United States.
Responsibilities
- Partner with department leaders to identify high-value business workflows that can benefit from AI automation
- Design, build, deploy, and maintain end-to-end AI-powered workflows
- Define measurable success criteria before implementation, including cycle time, output quality, cost, and risk
- Develop production-ready AI systems with robust evaluation frameworks and human review mechanisms
- Improve adoption through user research, documentation, stakeholder engagement, and structured rollout plans
- Establish reusable patterns and shared components for model access, orchestration, AI agents, prompt and tool management, evaluation, logging, and cost control
- Build on existing data infrastructure and collaborate with Engineering
- Create templates, playbooks, safety checklists, and recommended implementation patterns
- Lead enablement initiatives including office hours, demonstrations, and community-of-practice sessions
- Partner with Security, IT, Legal, and Data teams to establish access controls, data-handling practices, and governance policies
- Apply data classification standards to AI use cases
- Continuously assess emerging AI capabilities and refine solutions
Requirements
- Extensive experience delivering production-ready systems that automate or improve real business workflows
- Hands-on expertise with modern AI technologies, including large language models (LLMs), retrieval techniques, tool use, AI agents, evaluation frameworks, and guardrails
- Strong ability to translate business problems into practical technical solutions
- Demonstrated success leading cross-functional initiatives without formal authority
- Experience working closely with business stakeholders to understand operational processes
- Familiarity with security, privacy, and compliance considerations in enterprise environments
- Strong communication and teaching skills
- A continuous-learning mindset
- Ability to work independently while collaborating effectively with Data, Engineering, Security, IT, Legal, and business teams
Nice-to-have
- Proficiency in SQL and familiarity with modern data platforms, including dbt, cloud data warehouses, and business intelligence tools
- Experience with workflow automation and enterprise systems such as CRM platforms, ticketing tools, case management systems, and knowledge bases
- Familiarity with AI observability practices, including quality monitoring, evaluation pipelines, cost tracking, and latency analysis
- Experience managing organizational change and supporting AI adoption across distributed, cross-functional teams
- Interest in external knowledge sharing through writing, speaking, podcasts, or professional communities
Conditions
- Competitive base salary: CAD $310,000–$360,000, depending on experience and level
- Equity participation: Generous equity opportunities through an employee-friendly stock program
- Transparent compensation: A structured pay approach based on role level and experience
- Unlimited paid time off
- Remote-first culture