AI Product Manager

Employ Humanity

AI Product Manager leading AI-powered recruiting capabilities across Employ’s Jobvite, Lever, and JazzHR talent acquisition platforms. Driving responsible, intuitive automation that improves recruiter productivity for 23,000+ organizations.

Posted 8/14/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSenior💰 CA$132,800 - CA$166,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management for AI-powered solutions, with a focus on strategy, roadmap development, and cross-functional collaboration. Proven ability to translate emerging AI technologies into user-centered experiences while ensuring compliance with regulatory standards.

Highest-signal resume keywords

Product Management ExperienceAI-Powered Product DevelopmentB2B SaaS Product ScalingCross-Functional Initiative LeadershipStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product StrategyRoadmap DevelopmentData-Informed Decision MakingAnalytical SkillsProblem-Solving SkillsAI Evaluation MethodologiesPrompt EngineeringMachine Learning ConceptsGenerative AI ExperienceConversational AI Experience

Soft Skills

Stakeholder ManagementCommunication SkillsCollaborationAdaptabilityResults-Oriented Mindset

Tools & Technologies

LeverJobviteJazzHRAI AssistantsAutomation ToolsCustomer Feedback ToolsAnalytics PlatformsMarket Research Tools

Industry Keywords

Recruiting TechnologyHR TechnologyEnterprise Workflow SoftwareResponsible AI PrinciplesPrivacy Regulations

About the role

Key responsibilities & impact

Own the product strategy, roadmap, and execution for AI-powered capabilities across the Employ platform
Identify opportunities where AI can improve customer workflows, productivity, and customer outcomes
Define product vision and prioritize investments across Employ's recruiting solutions, including Lever, Jobvite, and JazzHR
Lead the evolution of AI assistants, agents, conversational experiences, intelligent recommendations, automation, and AI insights
Partner with engineering and data science teams to evaluate emerging AI technologies and translate them into customer solutions
Work with design to create intuitive, trusted, user-centered AI experiences
Establish product success metrics and use customer feedback, experimentation, analytics, and market research to improve AI products
Collaborate with legal, privacy, and compliance teams on responsible AI and regulatory requirements
Balance innovation with reliability, security, scalability, and maintainability
Communicate product vision, priorities, and outcomes to executive leadership and cross-functional stakeholders
Support product launches, customer adoption, and go-to-market activities
Partner with engineering, design, data science, customer success, sales, marketing, legal, and compliance teams

Requirements

What you’ll need

5–8+ years of product management experience delivering customer-facing software products
Experience building and scaling B2B SaaS products
Demonstrated experience delivering AI-powered products or partnering with AI, machine learning, or data science teams
Strong product strategy skills, including roadmap development, prioritization, and outcome-driven decision making
Experience translating emerging technologies into intuitive customer experiences
Strong analytical and problem-solving skills with data-informed decision-making ability
Experience leading complex cross-functional initiatives across engineering, design, and business teams
Excellent communication and stakeholder management skills, including presenting to senior leadership
Ability to operate effectively in a fast-paced, results-oriented environment
Preferred: experience in recruiting, HR technology, or enterprise workflow software
Preferred: experience launching generative AI, conversational AI, copilots, agents, or other AI-powered product experiences
Preferred: familiarity with large language models, machine learning concepts, prompt engineering, or AI evaluation methodologies
Preferred: experience with responsible AI principles, explainability, fairness, privacy, and emerging AI regulations
Preferred: experience balancing innovation with enterprise-scale reliability, security, and customer trust

Benefits

Comp & perks

Flexible work scheduling
Paid time off
Comprehensive benefits package
Career development opportunities
Performance bonuses may be included in total compensation
Equity may be included in total compensation