Product Manager for Agent Intelligence (AI)

Location: Hybrid

Salary: $150,000–$185,000 annually, plus equity

Company

hirify.global is an early-stage healthcare startup building an AI-powered care navigation platform for health systems and healthcare organizations.

What you will do

• Own the roadmap for the agent intelligence layer that measures, explains, and improves agent performance.
• Create evaluation rubrics and scoring standards for correctness, completeness, workflow adherence, customer experience, and outcomes.
• Build human-in-the-loop review workflows, automated evaluation pipelines, and scenario-based testing.
• Analyze, cluster, and explore large volumes of conversational data to identify failures, edge cases, and workflow gaps.
• Convert interaction failures into test scenarios, product requirements, training examples, and improvement opportunities.
• Partner with product, engineering, design, operations, and customer teams to improve retrieval, ranking, personalization, feedback systems, and agent outcomes.

Requirements

• Experience as a Product Manager working on technical, data-intensive, AI, automation, or platform products.
• Strong analytical skills and comfort with data, metrics, ambiguous problem spaces, and quality measurement.
• Experience defining quality standards, measurement frameworks, evaluation processes, or operational workflows.
• Ability to turn unstructured information into clear product direction and drive strategy through execution.
• Strong written and verbal communication skills and experience collaborating closely with engineering and cross-functional teams.

Nice to have

• Experience with AI products, conversational interfaces, LLMs, machine learning workflows, or agent systems.
• Experience with evaluation frameworks, experimentation, quality operations, or human-in-the-loop systems.
• Familiarity with retrieval, ranking, personalization, feedback loops, or data labeling workflows.
• Experience with large-scale conversational, support, call, or customer interaction data.
• Experience in healthcare, senior care, care operations, regulated environments, or 0-to-1 startup products.

Culture & Benefits

• Hybrid work environment.
• Equity offered as part of compensation.
• Values include service, safety, evidence, transparency, curiosity, kindness, collaboration, and thoughtful use of AI.
• Work focuses on improving the safety, reliability, accuracy, and effectiveness of AI-powered care navigation.