Lead Product Manager (AI)

Location: Fully remote within the United States; listed locations include San Francisco, New York, Seattle, Austin, and Chicago.

Base salary: $170,000–$225,000 per year.

Company

hirify.global operates an on-demand marketplace for lawn care and outdoor services through hirify.global, Lawn Love, and Home Gnome, with more than $750M in bookings.

What you will do

• Own the consumer and Pro AI roadmap across conversational AI, agentic workflows, and the Pros app.
• Build AI experiences that answer questions and take actions such as booking, skipping, or rescheduling services.
• Define customer-to-Pro messaging and the handoff from AI conversations to human support.
• Determine how external AI agents such as ChatGPT or Claude can interact with hirify.global on a customer’s behalf.
• Create production evals and guardrails for two audiences, including action accuracy, resolution rates, CSAT, and safety.
• Partner with product, engineering, applied science, design, data, customer service, and operations while leading through influence.

Requirements

• 6+ years of product management experience, including at least 3 years launching AI products to customers.
• Experience shipping AI products to real end users in B2C, B2B, or B2B2C; at least one production product must have been a chatbot or conversational AI experience.
• Ability to write and maintain AI evals, read conversation transcripts, identify failure points, and determine when quality is ready for launch.
• Understanding of AI agents, tool use, real-system actions, failure modes, safety, and guardrails.
• Data-driven prioritization, roadmap ownership, and evidence-based decision-making.
• Systems thinking, including consideration of marketplace effects on customers, Pros, pricing, and operations.
• Bachelor’s degree in business, analytics, engineering, design, or a related field, or equivalent practical experience, plus 6+ years of product management experience on consumer-facing products.
• This is an individual-contributor role with no direct reports; research-only, ML-platform-only, strategy-only, and demo-only AI backgrounds are not a fit.

Culture & Benefits

• Fully remote within the US, with work designed for deep focus.
• Flexible PTO focused on results.
• Medical, dental, and vision coverage.
• Equity participation.
• Lean, frugal environment with a partly legacy stack and high quality and safety expectations.