Product Manager (AI Systems)

TL;DR

Product Manager (AI Systems): Defining and executing the strategy for AI, data, and integration positioning to establish governed decision infrastructure for agentic enterprises with an accent on governance and auditability in regulated industries. Focus on translating market signals into actionable product strategy, designing agentic AI patterns, and aligning iPaaS capabilities with the AI platform.

Location: Remote (United States)

Company

hirify.global is a PE-backed SaaS company providing a Decision Intelligence Platform that combines decisioning, process automation, and machine learning for organizations in highly regulated industries.

What you will do

• Own the end-to-end strategy and execution roadmap for AI, agent, and MCP initiatives.
• Translate market signals into a defensible position in the agentic AI landscape, emphasizing governance and auditability.
• Originate product requirements, define success metrics, and create executive-level strategic narratives.
• Partner with revenue, engineering, and architecture teams to ensure a cohesive total product experience.
• Develop the company's data product strategy and align iPaaS and data integration capabilities with the broader platform.

Requirements

• 5–10+ years of experience in B2B SaaS product management, specifically in platform strategy, AI/ML, and data products.
• Technical background as a software engineer, architect, or highly technical product leader.
• Deep understanding of API and AI architectures, data integration patterns, and agentic AI tooling (LLM agents, memory systems).
• Ability to derive strategy from measurable customer and business outcomes.
• Must be based in the United States.
• Exceptional written communication skills for crafting compelling narratives and technical specifications.

Nice to have

• Experience in highly regulated industries and familiarity with the EU AI Act.
• Expertise in model explainability and AI auditability in regulated environments.
• Background in data monetization or analytics platform strategy.
• Familiarity with Outcome-Driven Innovation (ODI) or jobs-to-be-done methods.

Culture & Benefits

• Competitive compensation and benefits package.
• Flexible work environment.
• Opportunity to build and shape a premium support function with measurable customer impact.
• Collaborative culture with close partnership across Product, Engineering, and Customer Success.
• Professional growth opportunities within a scaling SaaS organization.