Senior Director, Security Analytics

Salesforce, Inc.; Bellevue, Northern (WA, KY); Hybrid; USD 218,000 - 365,000; Full time

Job summary

Salesforce, Inc. is seeking a Senior Director of Security Analytics to own the strategy and execution of data science and ML capabilities embedded in our security products.

You will lead a team of security data scientists and ML engineers to defend customer identities and fleets of SaaS environments at scale. You will build real-time analytics, counter AI attacks, and deliver dashboards for administrators while reporting performance and drift to executives.

Qualifications

• You have 10+ years of experience in security data science, ML engineering, or building customer-facing analytics at scale.
• Experience shipping production ML models into commercial SaaS platforms across multi-tenant environments.
• Ability to translate statistical outputs into clear security insights for executives and customers.

Responsibilities

• Own the customer-facing security analytics roadmap end to end across AI product defense, identity, network, and API threat prevention.
• Build native safeguards against AI-specific attacks (prompt injection, data poisoning, model inversion).
• Design analytics with automated containment (adaptive auth, API rate-limiting, session revocation).
• Collaborate with Product, UX, and leadership to report model metrics and threat containment SLAs.

Skills

Security data science

Machine learning

Cross-functional leadership

Tools

PyTorch

TensorFlow

Scikit-Learn

Spark

Job description

**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 PotentialWhen 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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.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 StatementSalesforce 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.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. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.### ### ### ### 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.