Principal Product Manager (AI)

TL;DR

Principal Product Manager (AI Data Mesh): Leading the development of a new product space empowering clients to leverage AI across their entire data ecosystem with an accent on AI-driven data integration and interoperability. Focus on defining multi-year strategy, integrating agentic AI protocols (MCP), and optimizing distribution into data lakehouse environments like Snowflake and Databricks.

Location: New York, Boston, San Francisco, Norwalk (USA) or London (UK)

Salary: $170,000–$212,000 (for CT and NY)

Company

hirify.global provides flexible, open data and software solutions for over 200,000 investment professionals worldwide.

What you will do

• Define and own the multi-year product strategy for the AI Data Mesh, focusing on inbound data flow, AI platform interoperability, and lakehouse distribution.
• Translate strategic vision into a rigorous, sequenced product roadmap with clear success metrics and technical dependencies.
• Collaborate with engineering, data architecture, and AI research teams to write detailed requirements and maintain accountability for outcomes.
• Establish data governance, lineage, and access control frameworks that meet financial services compliance and security standards.
• Conduct regular discovery with client data engineering teams and investment technology leaders to validate hypotheses.
• Partner with GTM and Solutions Engineering to define positioning, packaging, and executive-level sales motions.

Requirements

• Bachelor's degree and 12+ years of professional experience.
• 8+ years in product management, data engineering, or platform development, with at least 5 years specifically in PM roles for data infrastructure or AI platforms.
• Proven track record of 0-to-1 product development in an enterprise B2B context.
• Working knowledge of AI/LLM deployment patterns, including prompt engineering, RAG architectures, and multi-agent systems.
• Hands-on familiarity with MCP or comparable data interoperability protocols and cloud data sharing (Snowflake, Databricks).
• For US candidates: Must be legally authorized to work in the US without employer sponsorship now or in the future.

Nice to have

• MBA or advanced technical degree.
• Experience at a data infrastructure company, financial data firm, or major cloud platform.

Culture & Benefits

• Member of the S&P 500 with a commitment to sustainable growth.
• Recognized as a Glassdoor Employees’ Choice Award winner in 2023.
• Collaborative environment that values curiosity, diverse perspectives, and innovation.