Director of Product, Consumer & Alliances

TL;DR

Director of Product, Consumer & Alliances (AI/ML, Data & Identity Analytics): Define and deliver consumer identity threat protection and alliances products using enrichment, correlation, and identity analysis systems with an accent on streaming data, ML pipelines, and API-driven data products. Focus on building scalable, high-fidelity intelligence and leading cross-functional execution to turn signals into detections, alerts, and identity risk scoring.

Company

hirify.global transforms darknet data into automated identity threat protection using advanced analytics and AI.

What you will do

• Define and deliver products for Consumer Threat Protection and Alliances/OEM segments to meet revenue and retention targets.
• Lead enrichment, correlation, and identity analytics capabilities that improve risk context and threat fidelity.
• Partner with Security Research, Data Science, and Data Engineering to integrate new data sources and improve data fidelity, scalability, and identity context.
• Drive AI/ML-driven enrichment and detection methods into the pipeline to increase automation and scalability.
• Build enrichment/correlation/identity analysis systems that convert dark web, malware, and identity data into actionable intelligence.
• Define APIs, schemas, and service-level expectations; collaborate with downstream product teams to deliver detections, alerts, and identity risk scoring.

Requirements

• 6+ years of product management experience, including at least 2 years in consumer identity, consumer fraud, or application security.
• Proven success owning data-driven or analytics-centric products powering multiple downstream applications.
• Technical familiarity with streaming data systems, ML pipelines, data modeling, identity feature engineering, and API design.
• Strong quantitative/analytical mindset with experience defining and tracking KPIs for quality, timeliness, and user impact.
• Demonstrated cross-functional leadership across Engineering, Research, and Go-To-Market teams.
• Comfort using AI-assisted tools (LLMs) to synthesize research, prioritize, and validate requirements.

Nice to have

• Prior exposure to IAM products or integrations.
• MBA or advanced business/technical degree.
• Data Science experience and/or training.

Culture & Benefits

• Remote-friendly work options.
• U.S.-based benefits for full-time employees include 401(k) with employer contribution, health/vision/dental insurance, HSA with employer contribution, disability and life insurance, and generous PTO with 16 paid holidays per year.
• U.K.-based benefits for full-time employees include employer private health insurance and healthcare cashplan, retirement savings plan, life insurance, and 14 paid holidays per year.
• 16 paid holidays per year (U.S.) and 14 paid holidays per year (U.K.).

Hiring process

• Interviews to evaluate product leadership, technical fluency, and cross-functional execution.
• Assessment of ability to define data/analytics products and translate intelligence into customer-facing outcomes.