Senior Director, Security Analytics

Salesforce

. Own the customer-facing security analytics roadmap end to end .

Posted 10/12/2026full-timeUnited StatesSenior💰 $218,400 - $365,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in security data science and machine learning engineering, with a focus on developing customer-facing security analytics products and implementing effective threat prevention strategies. Proven ability to lead cross-functional teams and communicate complex security insights to stakeholders.

Highest-signal resume keywords

Security Data ScienceMachine Learning EngineeringCustomer-Facing Security AnalyticsThreat Prevention StrategiesCross-Functional Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production ML ModelsAdversarial ML EvasionModel ExplainabilityImbalanced DatasetsCold-Start Tenant Models

Soft Skills

Excellent Communication SkillsStakeholder Engagement

Tools & Technologies

SparkFlinkKafkaDatabricksPyTorchTensorFlowScikit-Learn

Industry Keywords

AI Product DefenseThreat ContainmentData PoisoningPrompt InjectionModel Inversion

Tech Stack

Tools & technologies

CloudKafkaPyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact

Own the customer-facing security analytics roadmap end to end
Drive strategy for AI product defense, identity, network and API threat prevention, and adversarial AI threat containment
Build native customer-facing safeguards against prompt injection, model inversion, data poisoning, and unauthorized LLM data exfiltration
Design analytics using automated containment mechanisms such as adaptive step-up authentication, API rate-limiting, and session revocation
Neutralize active threats instantly without disrupting customer operations
Partner with Product Management, UX, and executive stakeholders
Translate complex statistical outputs into clear security insights and trust dashboards for customer administrators
Report system performance, model metrics, drift analysis, and threat containment SLAs to leadership
Lead a specialized team of security data scientists, ML engineers, and detection engineers
Engage cross-functional product and engineering teams to safeguard customer identities, network perimeters, AI products, and counter emerging AI attacks at scale

Requirements

What you’ll need

10+ years of experience in security data science, machine learning engineering, or building customer-facing security analytics products at scale
Track record of shipping production ML models into commercial software platforms across multi-tenant SaaS environments
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
Experience working with Product, Engineering, and Incident Response teams
Ability to align cross-functional senior leadership around complex security data science initiatives
Excellent written and verbal communication skills
Familiarity with real-time big data streaming infrastructure such as Spark, Flink, Kafka, and Databricks is an advantage
Experience with modern ML frameworks such as PyTorch, TensorFlow, and Scikit-Learn is an advantage

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation may be available for certain roles
Equity may be available for certain roles