Product Manager, AI-Powered IT Help Experience

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Lifted

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

🏥 Healthcare

👥 HR Tech

📋 Compliance

💰 $6.2M Series A - Lifted on 2021-06

Healthcare • HR Tech • Compliance

Lifted is a platform for health and social care providers that streamlines recruiting, onboarding, sponsorship and ongoing compliance. The product offers access to pre-screened care workers, automated background and right-to-work checks, digital training and audit-ready records, Certificate of Sponsorship and visa application support, and real-time compliance dashboards and alerts. It is built to help care employers hire, sponsor and stay audit-ready with embedded immigration and compliance workflows.

📋 Description

• Own day-to-day product management, including framing, prioritization, requirements, acceptance criteria, and backlog management. • Play a key product role in agile team ceremonies, including planning, refinement, standups, reviews, and retrospectives. • Partner with engineering and support operations to improve troubleshooting, escalation, fulfillment, and response quality. • Define, monitor, and interpret success metrics, then turn findings into roadmap and prioritization decisions. • Drive UAT, rollout readiness, stakeholder updates, and rapid iteration. • Prepare for and facilitate recurring product reviews with senior stakeholders. • Strengthen the product feedback loop by turning user, support, and operational signals into prioritized improvements. • Improve user journeys and service workflows through experimentation and iterative delivery.

🎯 Requirements

• 5+ years of product management experience. • Ability to operate as an independent individual contributor and embed quickly with limited oversight. • Strong product management experience owning roadmap, requirements, prioritization, and delivery. • Experience with internal platforms, workflow products, service experiences, or AI-enabled products. • Production ownership of an agentic product or AI-agent experience. • Demonstrated effectiveness shaping and improving prompts. • Strong understanding of agent workflows, prompt effectiveness, evaluation, tuning, and common quality and trust issues. • Strong cross-functional experience with engineering and operations in ambiguous, fast-moving environments. • High comfort with data analysis and metric development, including defining ambiguous measures and turning findings into action. • High comfort leveraging AI tools to manage your own work more effectively. • Experience improving user journeys or service workflows through experimentation and iterative delivery. • Strong written and verbal communication skills, including executive-ready updates and stakeholder alignment.