Senior Product Manager (AI)

TL;DR

Senior Product Manager (AI): Owning the product strategy and execution roadmap for Autonomous Agents in the conversational AI domain, responsible for defining how hirify.global’s agents reason, plan, execute multi-step tasks, and collaborate across channels. Focus on enterprise deployments, and platform reliability.

Location: Remote

Company

hirify.global is the leading agentic AI platform for enterprise customer experience, enabling agentic automation at scale across the entire customer journey.

What you will do

• Own the Autonomous Agents roadmap end-to-end: problem discovery, prioritization, spec writing, delivery coordination, and outcome tracking.
• Translate enterprise customer and partner needs into product requirements, working closely with Customer Success, Delivery, and Sales/RevOps.
• Partner with Applied Research and Data Science to define evaluation criteria, benchmark programs, and quality gates for agentic AI capabilities.
• Drive cross-functional alignment across Engineering (Runtime, Studio, Channels, SDKs), QA, and Delivery on scope, dependencies, and launch readiness.
• Establish instrumentation requirements and ensure every shipped agent capability has the telemetry needed to measure usage, reliability, and outcomes.
• Run planning and execution cadence.

Requirements

• Engineering degree with 5+ years of progressive product management experience.
• Proven ownership of a complex, multi-surface product area with demonstrated delivery of technical features to enterprise customers.
• Deep understanding of conversational AI and agentic systems, including LLM-based reasoning, tool calling, and multi-step task execution.
• Strong technical fluency: APIs, distributed systems, cloud environments, and AI/ML deployment workflows.
• Excellent stakeholder leadership and executive communication.
• Customer-first mindset with experience translating enterprise customer needs into clear, actionable product requirements.

Nice to have

• Experience building or shipping AI agent products at a conversational AI, NLU, or enterprise AI platform company.
• Familiarity with agentic frameworks and protocols (e.g., LangChain, LangGraph, Model Context Protocol, OpenAI function calling, tool-use patterns).
• Experience supporting regulated or mission-critical environments.
• Experience working with large SI/partner ecosystems and coordinating enablement and customer success programs.
• Background in or strong familiarity with progressive delivery, incident management, and post-incident learning disciplines.

Culture & Benefits

• Equal opportunity employer committed to diversity in the workplace.