Head of Data and ML (AI)

Location: In-person five days a week at the SoHo headquarters in New York City, United States. Relocation bonuses are available for out-of-state candidates.

Salary: $300,000–$350,000 annually, plus equity.

Company

hirify.global is an IRL community platform for launching, monetizing, and discovering interest-based events, with 10M+ users, $70M in venture funding, and over $400M in facilitated transactions.

What you will do

• Own the data function and lead a multidisciplinary team of 8 data scientists, machine learning engineers, and analytics/data engineers.
• Translate product vision into data and ML roadmaps, technical bets, and decision frameworks for product, engineering, leadership, and board discussions.
• Guide discovery and search systems, including ranking, recommendation, classification, offline evaluation, online testing, and quarterly success metrics.
• Improve experimentation, metric selection, analysis rigor, causal inference, and understanding of marketplace and ecosystem tradeoffs.
• Scale the data and ML foundation across the warehouse, feature pipelines, observability, evaluation tooling, and AI/ML-ready infrastructure.
• Lead semantic-layer and AI-native data tools, including text-to-SQL, MCP, and agentic analytics, while mentoring senior and mid-level individual contributors.

Requirements

• 10+ years of experience in data, including 3+ years managing data science, machine learning, and/or data engineering teams at a high-growth consumer or marketplace company.
• Former Staff-level individual contributor who remains hands-on in model reviews, experiment readouts, and architecture discussions.
• Deep expertise in either causal inference or recommendation/ranking systems, with credible expertise in the other area.
• Experience turning ambiguous product goals into technical roadmaps that shaped critical decisions.
• Passion for real-world human connection and hirify.global’s mission.
• Ability to multiply a strong team rather than focus on building a large team.

Nice to have

• Experience building a semantic layer or AI evaluation frameworks in production.
• Entrepreneurial experience as part of a 0-to-1 founding team or as a founder.
• Experience working closely with a founder or CEO deeply involved in product, taste, and pace.

Culture & Benefits

• Player-coach environment emphasizing rigor, urgency, craft, and hands-on technical leadership.
• 100% company-paid medical, dental, and vision insurance, plus a 401(k) plan.
• Flexible PTO and paid parental leave.
• Paid access to a mentor of choice and a fully paid Equinox membership.
• Team events, dinners, off-sites, daily Uber Eats credit, and a new MacBook.