Product Manager (AI)

TL;DR

Product Manager (AI): Building and improving hirify.global’s client experience platform by owning the product roadmap for the AI platform, aligning it with business priorities and engineering needs. Focus on translating platform users' needs into clear requirements, prioritizing MLOps/LLMOps capabilities, and defining tools for search ingestion and query pipelines.

Location: Hybrid work environment, based in the US

Company

hirify.global Inc. is a global research and advisory firm guiding leaders with expert analysis and bold ideas to deliver actionable business and technology insights.

What you will do

• Own the product roadmap for the AI platform, aligning it with business priorities, AI adoption goals, and Data Science/ML Engineering needs.
• Translate platform users’ needs (data scientists, ML engineers, product teams) into clear requirements and partner with platform engineering and Infra teams to deliver scalable MLOps/LLMOps capabilities and governance.
• Prioritize and manage capabilities for frontier model access, including tools and workflows to host, fine‑tune, and train large models for different business use cases.
• Define how MCP servers and reusable A2A templates are used so teams can quickly assemble safe, reusable AI workflows and agents.
• Define and evolve tools for search ingestion and query pipelines, including connectors, indexing strategies, relevance controls and guardrails.
• Work with platform SRE, security, and compliance to guarantee the AI Platform meets SLAs for availability, latency, and reliability, while adhering to governance, privacy, and auditability requirements.

Requirements

• Bachelor’s or Master’s degree in computer science, engineering, data science, product management, or a related technical field.
• 3-5 years of overall experience, with 2+ years in digital product management.
• Proven experience working with technical products (big plus if with AI-ML platforms, LLMs, GenAI, autonomous/multi-agent systems).
• Experience leading scrum teams with a variety of business, data science and technical stakeholders.
• Passion for innovation and continuous learning; stay informed on AI/ML trends, agentic workflows, and enterprise integration best practices.

Nice to have

• MBA or equivalent.

Culture & Benefits

• Hybrid work environment, offering flexibility and support to thrive.
• Competitive salary and generous paid time off policy.
• US-specific benefits including 401(k), Group Medical Insurance, Parental Leave, and Employee Assistance Program (EAP).
• Collaborative, team-oriented culture that embraces diversity.
• Professional development and unlimited growth opportunities.