Principal Product Manager (AI)

TL;DR

Principal Product Manager (AI): Building and scaling agentic AI systems to power real-world contact center workflows and deliver measurable business outcomes with an accent on execution, customer impact, and production rigor. Focus on defining product initiatives, owning the agentic system lifecycle, and supporting best practices for agent evaluation and iteration.

Location: Remote (US / Bay Area preferred)

Company

hirify.global is an AI-native customer experience intelligence platform helping enterprises deploy agentic AI systems that reason, act, and improve across high-volume customer interactions.

What you will do

• Define and execute product initiatives for agentic AI systems, with a focus on measurable customer and business outcomes.
• Own significant parts of the agentic system lifecycle, including orchestration, decisioning, evaluation, and iteration.
• Contribute to building a repeatable framework for launching, evaluating, and improving agentic capabilities across customers.
• Help define how agentic systems are measured and improved in production, balancing autonomy with safety and reliability.
• Partner closely with Engineering, Applied AI/ML, Design, and Solutions teams to ship production-ready systems.
• Drive customer-informed prioritization by staying close to live deployments and real usage patterns.

Requirements

• 5–6 years of Product Management experience, preferably with AI-driven or platform products.
• Experience shipping and iterating on production software systems.
• Exposure to LLMs, agentic systems, or AI-powered workflows (hands-on or via close partnership).
• Strong customer-facing skills and comfort working with enterprise customers.
• Ability to translate ambiguous problems into clear product requirements.
• Excellent collaboration and communication skills.

Nice to have

• Experience with conversational systems, automation, or real-time decisioning.
• Familiarity with AI evaluation concepts, human-in-the-loop systems, or feedback loops.
• Experience working in enterprise SaaS or B2B platforms.
• Technical background or strong comfort working with engineering and ML teams.

Culture & Benefits

• Work on real production agentic AI systems, not experiments.
• High exposure to customers, data, and real-world outcomes.
• Opportunity to grow into broader platform or Principal-level ownership.
• Meaningful impact on how enterprises adopt and trust AI.