Data Science Manager (AI)

TL;DR

Data Science Manager (AI): Leading and scaling a data science team focused on building measurement systems, experimentation practices, and detection/mitigation strategies to protect hirify.global products and users from misuse and fraud. Focus on institutionalizing analytical rigor, shaping roadmaps with product/engineering, and driving an AI-leveraged operating mode for integrity risks.

Location: San Francisco HQ (in-office)

Salary: $255,000 – $490,000 + Offers Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Lead and scale a high-impact Integrity Data Science team, including hiring, coaching, and developing individual contributors.
• Drive strategy across multiple Integrity domains like policy enforcement, bot detection, fraud prevention, and risk measurement.
• Build and institutionalize analytical rigor through clear metric frameworks, experimentation standards, and monitoring.
• Partner deeply with Product & Engineering to shape roadmaps and translate ambiguous risk signals into practical product decisions.
• Evolve team structure and operating model as the organization scales, defining ownership boundaries and improving processes.
• Communicate clearly with senior leadership, synthesizing complex tradeoffs and driving alignment on priorities.
• Push the team toward an AI-leveraged operating mode using modern tooling and model capabilities.

Requirements

• Deep experience leading and scaling Data Science teams, ideally in trust & safety, fraud/abuse, security, or risk in fast-moving environments.
• Strong technical grounding across modern DS techniques such as experimentation, causal inference, anomaly detection, and risk modeling.
• Proven track record of building durable partnerships across Data Science, Engineering, Product, and Operations, with the ability to influence without authority.
• Excellent at hiring, mentoring, and developing technical talent, capable of building a high-bar and supportive culture.
• Ability to translate messy, evolving threats into clear frameworks, metrics, and decisions, keeping the team focused on high-leverage work.
• Comfort operating in ambiguity, and able to bring structure, clarity, and momentum where the “right answer” isn’t obvious.
• Must be based in the San Francisco HQ (in-office).

Nice to have

• Experience deploying scaled detection solutions using LLMs, embeddings, fine-tuning, or related ML systems for abuse/fraud/risk.
• Worked closely with policy, content moderation, investigations, or security operations teams.
• Built or led measurement systems that balance safety, user experience, and operational/business constraints.

Culture & Benefits

• Dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
• Committed to providing reasonable accommodations to applicants with disabilities.
• Offers equity as part of compensation.
• Operates as an equal opportunity employer.