Senior Product Manager, AI Operations

Quandri

. Work directly with teams to understand goals, processes, handoffs, information needs, and recurring bottlenecks .

Posted 10/22/2026full-timeVancouver • CanadaSenior💰 CA$150,000 - CA$200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management with a focus on AI workflows, including building and deploying prototypes, evaluating models, and driving company-wide adoption. Strong analytical skills and the ability to collaborate across functional teams to enhance operational efficiency and workflow design.

Highest-signal resume keywords

Product Management ExperienceAI Workflow DevelopmentTechnical Fluency with APIsSystems ThinkingChange Management Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Development ToolsModel SelectionAgent OrchestrationPrototypingEvaluation Criteria DefinitionData Requirements AnalysisWorkflow DesignBuild-Versus-Buy DecisionsAutomation ImplementationAnalytical Measurement

Soft Skills

Strong Product JudgmentCollaborationClear CommunicationChange ManagementAnalytical Discipline

Tools & Technologies

APIsAutomation ToolsFoundation ModelsAgent FrameworksInternal Knowledge ToolsB2B SaaS OperationsCRM SystemsSupport Systems

Industry Keywords

Insurance WorkflowsEmployee ToolingFunctional ChampionsOperational Cost ManagementHuman Review Points

About the role

Key responsibilities & impact

Work directly with teams to understand goals, processes, handoffs, information needs, and recurring bottlenecks
Design better workflows with functional leaders, establish baselines, and prioritize by business impact, feasibility, and operating cost
Evaluate foundation models, agent infrastructure, and AI development tools against real workflows for quality, reliability, speed, cost, and data requirements
Own the roadmap for shared AI capabilities and company-wide adoption
Make build, buy, reuse, and stop decisions and deliver in short cycles with continuous feedback
Build working prototypes and pilot workflows using AI tools, models, agents, APIs, and automation
Test solutions with employees, iterate on failures, and partner with Engineering to move validated solutions into production
Define evaluation criteria, human review points, failure handling, monitoring, and workflow ownership
Partner with Engineering, Security, Legal, and Data on permissions, privacy, integrations, production readiness, analytics, and access
Create reusable capabilities for connecting agents to tools and knowledge, managing context and permissions, evaluating outputs, and monitoring execution
Lead adoption and change management through functional champions, training, hackathons, office hours, and rollout support
Measure adoption, time saved, cycle time, output quality, errors, and total operating cost
Report to the VP of Product and collaborate with Engineering, Finance and Operations, Security, Data, and functional leaders

Requirements

What you’ll need

6+ years of product management experience, ideally including internal products, platforms, or developer and employee tooling, with ownership from discovery through sustained use
Systems thinking across processes, information flows, tools, incentives, and human decisions
Sustained practice of using AI in your own work and testing new foundation models, agent frameworks, and development tools
Practical experience building and deploying AI workflows
Technical fluency with model selection, context and retrieval, tool use, agent orchestration, APIs, evaluation, and access controls
Ability to build and debug prototypes and make informed architecture and build-versus-buy decisions with engineers
Strong product judgment
Track record of scaling adoption and changing how people work
Analytical discipline and comfort measuring value against a baseline, including human effort required to review and correct outputs
Ability to align functional leaders, collaborate with technical teams, and explain new ways of working clearly to colleagues with different levels of AI experience
Bonus: experience with B2B SaaS operations, CRM and support systems, or internal knowledge tools
Bonus: experience building a network of functional champions
Bonus: experience taking an automation from one team's experiment to a capability used across a company
Bonus: familiarity with insurance workflows

Benefits

Comp & perks

Employee stock options, granted based off experience level upon hire and subject to a standard vesting schedule
Comprehensive health benefits, including $500 Lifestyle Spending Account
Four weeks of paid vacation per year
Work anywhere in the world for 60 calendar days of the year
Parental leave top-ups: 6 months for birthing parents, 8 weeks for non-birthing parents (up to $100,000 annual salary)