Staff Product Manager, AI (Data Intelligence)

TL;DR

Staff Product Manager, AI (Data Intelligence): Define and drive the AI roadmap for hirify.global's data intelligence product, focusing on new agents, orchestration, and security/compliance. Focus on making data-informed decisions and collaborating with cross-functional teams to deliver a best-in-class agentic AI experience.

Location: Remote (Europe)

Company

hirify.global is a leading provider of data management solutions, empowering businesses to harness the power of their data.

What you will do

• Define and drive the roadmap for AI within our data intelligence product, focusing on new agents and orchestration, agent activity tracking, security/compliance enforcement, and business impact analytics.
• Own the full product lifecycle from discovery through launch, iteration, and adoption, including setting success metrics, prioritizing features, and ensuring high-quality execution.
• Lead cross-functional initiatives, collaborating with Engineering, Design, Marketing, Sales, and Customer Success to deliver a best-in-class agentic AI experience.
• Build relationships with key stakeholders and business partners.
• Partner with Go-to-Market teams to position our AI value proposition, shape product messaging, and drive adoption among technical and executive audiences.

Requirements

• 5+ years in Software Product Management, with at least 1 year owning zero-to-one or early-stage product launches and/or startup experience.
• Strong technical understanding of agentic AI architectures and frameworks.
• Required: Technical fluency and working knowledge of AI/ML concepts, LLMs, and agent frameworks (e.g. LangGraph, MCP Servers, Cursor AI).
• Proven experience building and deploying AI agents in close collaboration with Engineering and Research teams.
• Skilled at translating customer and stakeholder needs into innovative product features.
• Track record of shipping enterprise-grade SaaS features from ideation through scale.
• Bachelor's degree in Computer Science, Engineering, Business, or related field.

Nice to have

• Prior work experience in data management domain (e.g., data catalogs, databases, major CSPs, key data-oriented user personas and their use cases) is a plus

Culture & Benefits

• Value diversity and provide equal opportunities for all applicants.
• Use AI tools to support parts of the hiring process, but final decisions are made by humans.