Principal Product Manager (AI/ML)

Location: Midtown NYC office with periodic in-office presence averaging about 30% per month

Salary: $210,000–$240,000 annually plus equity

Company

hirify.global is a creative data company providing scoring software, analytics, proprietary models, and integrations that help marketers and agencies improve creative effectiveness and business results.

What you will do

• Own the product vision, roadmap, and delivery for creative data, recommendation, API, MCP, and agent capabilities.
• Advance a composable platform strategy that makes data, intelligence, and recommendations available across customer, partner, and AI workflows.
• Transform creative, media, brand, platform, and performance data into ranked, explainable, and actionable recommendations.
• Build products for human and machine consumers, including enterprise workflows, structured APIs, developer tools, and agentic systems.
• Partner with engineering and data science on data models, recommendation logic, architecture, evaluation, and technical tradeoffs involving quality, latency, and cost.
• Drive customer and partner adoption while establishing standards for grounding, confidence, explainability, provenance, actionability, and constraint adherence.

Requirements

• 8+ years of product management experience in B2B SaaS or DaaS, including at least 3 years at staff or principal level.
• Experience building and productizing AI/ML-powered recommendation systems, including model evaluation, quality measurement, and reinforcement learning.
• 3+ years of experience in adtech, martech, or another data-heavy vertical.
• Strong experience with data products or developer platforms and deep fluency across APIs, MCP tools, data models, and AI/ML products.
• Familiarity with generative AI, large language models, agents, retrieval and grounding, evaluation methods, and probabilistic system behavior.
• Hands-on ability to use SQL, Python, and related tools for lightweight data analysis, hypothesis testing, and product decisions.

Culture & Benefits

• AI-first product organization where team members use AI tools across discovery, analysis, prototyping, testing, documentation, and delivery.
• Equity offered in addition to base compensation.
• Customer-first, collaborative work across engineering, data science, executives, customers, agencies, and external partners.
• Opportunity to develop creative data, AI recommendation, developer platform, and agent capabilities.