Senior Director, Security Analytics

Salesforce; McLean (VA); On-site; USD 218,000 - 365,000; Full time

Benefits offered by this job

Time off

Medical

Dental

Vision

Mental health

Parental leave

Life insurance

Disability insurance

401(k)

ESOP

Job summary

Salesforce seeks a Senior Director of Security Analytics to lead strategy, development, and operations of security ML capabilities inside our AI-powered security products. You will manage a team of data scientists, ML engineers, and detection engineers, guiding cross-functional product and engineering partners to safeguard identities, networks, and AI services at scale.

You will own roadmaps for threat prevention, design native safeguards against AI attacks, and communicate complex analytics to

Qualifications

• 10+ years of experience in security data science, ML engineering, or building customer-facing security analytics products at scale.
• Experience delivering production ML models in multi-tenant SaaS environments.
• Ability to translate complex security metrics into actionable insights for leadership.

Responsibilities

• Own the customer-facing security analytics roadmap end to end, for AI product defense and threat containment.
• Build safeguards against AI-specific attacks (prompt injection, data exfiltration, model inversion).
• Design analytics with automated containment (adaptive authentication, rate-limiting, session revocation).
• Collaborate with Product, UX, and executives to present security insights and SLAs to leadership.

Skills

Security data science

ML engineering

Security analytics

Threat detection

Tools

Spark

Flink

Kafka

Databricks

PyTorch

TensorFlow

Scikit-Learn

Job description

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Location: Bellevue, WA or McLean, VA

The Experience

As a Senior Director, Security Analytics, you own the strategy, development, and operation of data science and machine learning (ML) capabilities built directly into our customer-facing security products. High-scale software as a service (SaaS) environments require real-time, automated threat detection and containment across millions of active users and hundreds of thousands of customer organizations. You 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.

What You’ll Actually Be Doing

• 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, while reporting system performance, model metrics, drift analysis, and threat containment service level agreements (SLAs) to leadership.

You’re Our Person If…

• You have 10+ years of experience in security data science, machine learning engineering, or building customer-facing security analytics products at scale, with a track record of shipping production ML models into commercial software platforms across multi-tenant SaaS environments.
• You have a strong grasp of security-specific data science/ML problems, including imbalanced datasets, cold-start tenant models, adversarial ML evasion, and model explainability, with a proven record of detecting and stopping attackers at cloud-level scale.
• You’ve worked directly with Product, Engineering, and Incident Response teams to drive automated threat containment features to completion, and can align cross-functional senior leadership around complex security data science initiatives.
• You communicate complex statistical modeling and AI security concepts clearly to executive stakeholders and customers, with excellent written and verbal communication skills.

Even Better If…

• You have familiarity with real-time big data streaming infrastructure (Spark, Flink, Kafka, Databricks).
• You have experience with modern ML frameworks (PyTorch, TensorFlow, Scikit-Learn).

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Benefits

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• an employee stock purchasing program

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $218,400 - $365,200 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.