# Senior Director, Security Analytics

**Company**: Salesforce
**Location**: Bellevue, WA
**Experience**: senior
**Job type**: full-time
**Salary**: $218,400 - $365,200 annually
**Category**: Security
**Industry**: Technology

**Apply**: https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/Washington---Bellevue/Senior-Director--Security-Analytics_JR362216?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4394344b-0e8

## Description

Salesforce is seeking a Senior Director, Security Analytics to own the strategy, development, and operation of data science and machine learning (ML) capabilities built directly into customer-facing security products.

The successful candidate will lead a specialized team of security data scientists, ML engineers, and detection engineers, engaging cross-functional product and engineering teams to safeguard customer identities, network perimeters, AI products, and counter emerging AI attacks at scale.

Key responsibilities:

- Own the customer-facing security analytics roadmap end to end, driving strategy for AI product defense, identity, network and application programming interface (API) threat prevention, and adversarial AI threat containment.

- Build native customer-facing safeguards against AI-specific attacks, including prompt injection, model inversion, data poisoning, and unauthorized large language model (LLM) data exfiltration.

- Design analytics that use automated containment mechanisms, such as adaptive step-up authentication, API rate-limiting, and session revocation, to neutralize active threats instantly without disrupting customer operations.

- Partner with Product Management, user experience (UX), and executive stakeholders to translate complex statistical outputs into clear security insights and trust dashboards for customer administrators.

Requirements:

- 10+ years of experience in security data science, machine learning engineering, or building customer-facing security analytics products at scale.

- Strong grasp of security-specific data science/ML problems, including imbalanced datasets, cold-start tenant models, adversarial ML evasion, and model explainability.

- Proven record of detecting and stopping attackers at cloud-level scale.

- Excellent written and verbal communication skills.

Nice to have:

- Familiarity with real-time big data streaming infrastructure (Spark, Flink, Kafka, Databricks).

- Experience with modern ML frameworks (PyTorch, TensorFlow, Scikit-Learn).

The typical base salary range for this position is $218,400 - $365,200 annually.

## Skills

### Required
- security data science
- machine learning engineering
- customer-facing security analytics

### Nice to have
- real-time big data streaming infrastructure
- modern ML frameworks

---

Source: [Apply at salesforce.wd12.myworkdayjobs.com](https://salesforce.wd12.myworkdayjobs.com/en-US/External_Career_Site/job/Washington---Bellevue/Senior-Director--Security-Analytics_JR362216?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)