Senior Director, Security Analytics

Salesforce; Washington; On-site; USD 180,000 - 340,000; Full time

Job summary

Salesforce is seeking a Senior Director of Security Analytics to define and lead data science and ML capabilities embedded in our customer-facing security products. You will guide a team of data scientists, ML engineers, and detection engineers across cross-functional groups to protect identities, networks, and AI products at scale.

You will own the analytics roadmap, implement safeguards against AI threats, and communicate insights to executives and customers.

Qualifications

• Over 10 years in security data science, ML engineering, or related customer-facing analytics.
• Experience shipping ML models in multi-tenant SaaS platforms at scale.
• Ability to translate complex security analytics into actionable insights for leadership.

Responsibilities

• Own the customer-facing security analytics roadmap end-to-end for AI product defense.
• Build safeguards against AI-specific attacks and data exfiltration.
• Design analytics with automated containment and adaptive authentication to neutralize threats.

Skills

Security data science

Machine learning engineering

Executive communication

Cross-functional leadership

Tools

Spark

Flink

Kafka

Databricks

PyTorch

TensorFlow

Scikit-Learn

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Enterprise Technology & Infrastructure

Job Details

About SalesforceSalesforce 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.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employ