Senior Director Of Engineering, Marketing Intelligence

Senior Director Of Engineering

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.

This is more than an engineering leadership role - it's your chance to redefine marketing globally. At Salesforce, we are building the Agentic Enterprise with AI, Data, and CRM, and the Marketing Cloud Intelligence team is the engine driving this transformation. We are moving beyond static reporting to a world where AI agents act autonomously and instantly. If you thrive on massive scale, disruptive innovation, and leading a world-class team right here in Tel Aviv, this is your opportunity.

As the Senior Director of Engineering, you will directly lead a powerhouse organization of approximately 70 engineers in Israel. Your mandate is clear: transform raw data into autonomous action and establish Agentforce as the ultimate intelligence platform, setting a new global standard for marketing performance.

Your Impact: As the Senior Director of Engineering, you will lead the Agentic AI revolution within our core platform. Your primary mission is to ensure our intelligence platform is ready to power the next generation of AI agents, driving the paradigm shift from one-way campaigns to real-time, two-way conversations that maximize customer lifetime value.

Your Responsibilities Will Include:

• Pioneer Agentic AI: Define the engineering vision and architecture for our autonomous AI agents, ensuring they can ingest unified marketing data, execute complex attribution, and optimize campaign spending in real-time.
• Scale the Data Core: Own the design, operation, and reliability of our massively scalable, distributed data platform. Ensure seamless ingestion and processing of billions of data points from 170+ sources to build the trusted foundation for all AI initiatives.
• Lead a Global R&D Team (70+): Lead and mentor an organization of approximately 70 engineers and managers globally. Cultivate a high-velocity culture defined by technical excellence, ownership, and career growth.
• Drive Executive Influence: Collaborate closely with Product Management, Architects, and global leadership to translate market demands into shipping code that delivers measurable business transformation for our customers.

Minimum Requirements:

• 10+ years of intense experience in software engineering, with 5+ years in a Director or Senior Director role leading large-scale, enterprise-level R&D organizations.
• Proven experience managing an organization of 50+ engineers across multiple teams, including successfully mentoring and growing other leaders.
• Deep technical mastery in Data Engineering, Marketing Technology, Analytics, or massive-scale SaaS platforms.
• Extensive experience building, scaling, and maintaining complex AI/ML products that operate 24x7. You must understand the architectural demands of the shift to Agentic AI.
• Mastery of professional software engineering best practices, operational excellence, and agile methodologies.
• Exceptional executive communication skills—you can articulate a complex technical strategy to any audience.
• Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)

Preferred Requirements:

• Direct experience with cross-channel attribution, campaign optimization, and media platforms.
• Prior hands-on experience or significant leadership exposure to Generative AI, Autonomous Agents, and MLOps in a high-velocity, production environment, ideally within the Agentforce 360 architecture.
• Expertise in cloud-native architectures and modern data lake/warehouse technologies.

Benefits & Perks: Check out our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Open to Flex (1-3 days/week in the office), or Office-Based (4-5 days/week in the office).

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. 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.

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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. 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.