AI Product Manager

Summary

Employ provides applicant tracking solutions and AI capabilities that help organizations improve talent acquisition and hiring workflows. The AI Product Manager will lead the strategy, roadmap, and execution of AI-powered capabilities across Employ’s recruiting platform, partnering with engineering, design, data science, and go-to-market teams. The role focuses on delivering intuitive, measurable, trusted, and responsible AI experiences for recruiters and hiring managers.

Responsibilities

• You will own the product strategy, roadmap, and execution for AI-powered capabilities across the Employ platform
• Your scope includes identifying opportunities where AI can improve customer workflows, defining product vision, prioritizing investments, and delivering innovative experiences that create measurable value for customers and the business
• Defining and driving the product strategy for AI capabilities across Employ's portfolio of recruiting solutions
• Identifying opportunities where AI can simplify complex workflows, improve productivity, and create differentiated customer experiences
• Leading the evolution of Employ's AI capabilities, including assistants, agentic workflows, conversational experiences, intelligent recommendations, and automation
• Partnering with engineering and data science teams to evaluate emerging AI technologies and translate technical capabilities into valuable customer solutions
• Working closely with design to create intuitive, trusted, and user-centered AI experiences
• Establishing product success metrics and using customer feedback, experimentation, analytics, and market research to continuously improve AI products
• Collaborating with legal, privacy, and compliance teams to ensure responsible AI development and adherence to evolving regulatory requirements
• Balancing rapid innovation with platform reliability, security, scalability, and long-term maintainability
• Communicating product vision, priorities, and outcomes to executive leadership and cross-functional stakeholders
• Supporting product launches, customer adoption, and go-to-market activities for AI capabilities
• In this role, you will partner closely with engineering, design, data science, customer success, sales, marketing, legal, and compliance teams to deliver AI-powered experiences that improve recruiter productivity and customer outcomes

Skills

• 4–8 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 closely 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 the ability to evaluate tradeoffs and make data-informed decisions
• Experience leading complex cross-functional initiatives across engineering, design, and business teams
• Excellent communication and stakeholder management skills, including experience presenting to senior leadership
• Ability to operate effectively in a fast-paced, results-oriented environment
• Experience in recruiting, HR technology, or enterprise workflow software
• Experience launching generative AI, conversational AI, copilots, agents, or other AI-powered product experiences
• Familiarity with large language models, machine learning concepts, prompt engineering, or AI evaluation methodologies
• Experience working with responsible AI principles, explainability, fairness, privacy, and emerging AI regulations
• Experience balancing innovation with enterprise-scale reliability, security, and customer trust

Qualifications

Must Haves

• 4–8 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 closely 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 the ability to evaluate tradeoffs and make data-informed decisions
• Experience leading complex cross-functional initiatives across engineering, design, and business teams
• Excellent communication and stakeholder management skills, including experience presenting to senior leadership
• Ability to operate effectively in a fast-paced, results-oriented environment

Nice to Haves

• Experience in recruiting, HR technology, or enterprise workflow software
• Experience launching generative AI, conversational AI, copilots, agents, or other AI-powered product experiences
• Familiarity with large language models, machine learning concepts, prompt engineering, or AI evaluation methodologies
• Experience working with responsible AI principles, explainability, fairness, privacy, and emerging AI regulations
• Experience balancing innovation with enterprise-scale reliability, security, and customer trust

Benefits

• Flexible work scheduling
• Paid time off
• Remote-first culture: work from where you’re most productive, with virtual-first rituals and regular in-person meetups
• Unlimited PTO
• Medical, dental, and vision coverage for employees and their families
• Learning and development programs, including training, mentorship, and development resources