# Data Science Manager, Integrity

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $255k – $490k/yr
**Skills:** Experimentation, Causal Inference, Anomaly Detection, Risk Modeling, Measurement Design, LLMs, Embeddings, Fine-Tuning, Machine Learning, Metrics
**Posted:** 2026-02-03

> Leads a data science team focused on trust & safety, fraud prevention, and risk analysis for AI integrity. Drives analytical strategy, scales team operations, and partners cross-functionally to mitigate evolving threats using advanced DS techniques.

## Job Description

## In this role, you will:
- **Lead and scale** a high-impact Integrity Data Science team—hiring, coaching, and developing DS ICs (and potentially future managers) while setting a strong technical and cultural bar.
- **Drive strategy across multiple Integrity domains** (policy enforcement, bot detection, fraud prevention, IP theft, risk measurement, abuse prevention), balancing near-term response with durable systems.
- **Build and institutionalize analytical rigor**: clear metric frameworks, experimentation standards, monitoring/alerting, and repeatable evaluation approaches for Integrity interventions.
- **Partner deeply with Product & Engineering** to shape roadmaps, prioritize the right bets, and translate ambiguous risk signals into practical product and platform decisions.
- **Evolve team structure and operating model** as the org scales—defining ownership boundaries, improving processes, and creating leverage through better tooling and AI-assisted workflows.
- **Enable cross-org outcomes**, supporting partners outside Integrity (e.g., Growth, Ads, GTM) where integrity risks intersect with product and business goals.
- **Communicate clearly with senior leadership**, synthesizing complex tradeoffs, surfacing risk, and driving alignment on priorities and success metrics.
- **Push the team toward an AI-leveraged operating mode**, using modern tooling and model capabilities to accelerate detection, triage, analysis, and iteration.

## You might thrive in this role if you:
- Have deep experience leading and scaling Data Science teams, ideally in trust & safety, fraud/abuse, security, risk, or other adversarial problem spaces in fast-moving environments.
- Bring strong technical grounding across modern DS techniques (experimentation, causal inference, anomaly detection, risk modeling, measurement design) and can coach others to execute with rigor.
- Have a track record of building durable partnerships across DS, Engineering, Product, and Operations—able to influence without authority and create shared accountability.
- Are excellent at hiring, mentoring, and developing technical talent, and can build a culture that is both high-bar and supportive.
- Can translate messy, evolving threats into clear frameworks, metrics, and decisions—and keep the team focused on the highest-leverage work.
- Are comfortable operating in ambiguity, and can bring structure, clarity, and momentum where the “right answer” isn’t obvious.

**Bonus if you:**
- Have experience deploying scaled detection solutions using LLMs, embeddings, fine-tuning, or related ML systems for abuse/fraud/risk.
- Have worked closely with policy, content moderation, investigations, or security operations teams and understand how to design analytics that actually works end-to-end.
- Have built or led measurement systems that balance safety, user experience, and operational/business constraints.

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**Apply:** https://hotfix.jobs/jobs/e3be6e07-49c9-47e1-837f-5e8a5389bd2a
**Canonical:** https://hotfix.jobs/jobs/e3be6e07-49c9-47e1-837f-5e8a5389bd2a