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From the employer's careers site First seen 27 Oct 2026

Senior Director, Security Analytics

Salesforce Bellevue, WA senior full-time

Salary

$218,400 - $365,200 annually

Apply on Salesforce

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
Apply on Salesforce