Chief Product Officer (AI)

Location: New York, United States; Workplace: Hybrid

Company

hirify.global develops enterprise AI products, including GenerativeAgent, for customer-facing workflows.

What you will do

• Set the vision, priorities, roadmap, and portfolio strategy for enterprise AI products.
• Partner with Research, Engineering, Delivery, and Security to turn AI advances into reliable, intuitive, and commercially valuable products.
• Lead products from incubation and product-market fit through production deployment, adoption, expansion, and scale.
• Use telemetry, customer feedback, operational data, and business metrics to improve product quality and prioritize investments.
• Define standards for AI evaluation, safety, reliability, latency, observability, and cost-quality-scale tradeoffs.
• Align Sales, Marketing, Customer Success, Delivery, Research, Engineering, and company leadership around product priorities and customer outcomes.

Requirements

• Significant experience building and scaling enterprise AI products used by customers in production.
• Strong understanding of generative AI, agentic systems, AI-powered workflows, orchestration, retrieval, evaluation, safety, latency, reliability, data, and platform architecture.
• Demonstrated ability to build products through ambiguity, achieve product-market fit, and scale them.
• Experience with complex B2B products involving deep integrations, multiple stakeholders, demanding production requirements, and long-term deployments.
• Strong customer, commercial, prioritization, metrics, and productization judgment.
• Proven ability to recruit, develop, and lead Product and Design talent while building trust across technical, commercial, delivery, and executive functions.

Nice to have

• Enterprise customer experience, contact center, or communications product experience.
• Voice AI, conversational AI, or real-time AI systems experience.
• Experience with developer platforms, extensible enterprise platforms, or complex enterprise workflow products.
• Experience bringing AI research advances into production.
• Experience with technology partnerships and ecosystem integrations.