Senior Director of Engineering, Marketing Intelligence
Salesforce
Senior Director of Engineering, Marketing Intelligence
Job Description
Description 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.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: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: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 RequirementsDirect 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 benefits site which explains 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).Check out our Salesforce Engineering Blog
Locations
- Tel Aviv, Israel
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
250,000 - 400,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- experience in software engineeringintermediate
- experience in a Director or Senior Director role leading large-scale, enterprise-level R&D organizationsintermediate
- managing an organization of 50+ engineersintermediate
- technical mastery in Data Engineeringintermediate
- technical mastery in Marketing Technologyintermediate
- technical mastery in Analyticsintermediate
- technical mastery in massive-scale SaaS platformsintermediate
- experience building, scaling, and maintaining complex AI/ML productsintermediate
- understanding the architectural demands of the shift to Agentic AIintermediate
- Mastery of professional software engineering best practicesintermediate
- operational excellenceintermediate
- agile methodologiesintermediate
- executive communication skillsintermediate
- experience with cross-channel attributionintermediate
- experience with campaign optimizationintermediate
- experience with media platformsintermediate
- experience with Generative AIintermediate
- experience with Autonomous Agentsintermediate
- experience with MLOpsintermediate
- Expertise in cloud-native architecturesintermediate
- Expertise in modern data lake/warehouse technologiesintermediate
Required Qualifications
- 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. (experience, 10 years)
- Proven experience managing an organization of 50+ engineers across multiple teams, including successfully mentoring and growing other leaders. (experience)
- Deep technical mastery in Data Engineering, Marketing Technology, Analytics, or massive-scale SaaS platforms. (degree in data engineering)
- 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. (experience)
- Mastery of professional software engineering best practices, operational excellence, and agile methodologies. (degree)
- Exceptional executive communication skills—you can articulate a complex technical strategy to any audience. (experience)
- 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.) (experience)
Preferred Qualifications
- Direct experience with cross-channel attribution, campaign optimization, and media platforms. (experience)
- 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. (experience)
- Expertise in cloud-native architectures and modern data lake/warehouse technologies. (experience)
Responsibilities
- 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.
Benefits
- general: Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.
- general: Open to Flex (1-3 days/week in the office), or Office-Based (4-5 days/week in the office).
- general: Check out our Salesforce Engineering Blog
Tags & Categories
Senior Director of Engineering, Marketing Intelligence
Salesforce
Senior Director of Engineering, Marketing Intelligence
Job Description
Description 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.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: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: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 RequirementsDirect 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 benefits site which explains 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).Check out our Salesforce Engineering Blog
Locations
- Tel Aviv, Israel
Salary
Salary not disclosed
Estimated Salary Rangemedium confidence
250,000 - 400,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- experience in software engineeringintermediate
- experience in a Director or Senior Director role leading large-scale, enterprise-level R&D organizationsintermediate
- managing an organization of 50+ engineersintermediate
- technical mastery in Data Engineeringintermediate
- technical mastery in Marketing Technologyintermediate
- technical mastery in Analyticsintermediate
- technical mastery in massive-scale SaaS platformsintermediate
- experience building, scaling, and maintaining complex AI/ML productsintermediate
- understanding the architectural demands of the shift to Agentic AIintermediate
- Mastery of professional software engineering best practicesintermediate
- operational excellenceintermediate
- agile methodologiesintermediate
- executive communication skillsintermediate
- experience with cross-channel attributionintermediate
- experience with campaign optimizationintermediate
- experience with media platformsintermediate
- experience with Generative AIintermediate
- experience with Autonomous Agentsintermediate
- experience with MLOpsintermediate
- Expertise in cloud-native architecturesintermediate
- Expertise in modern data lake/warehouse technologiesintermediate
Required Qualifications
- 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. (experience, 10 years)
- Proven experience managing an organization of 50+ engineers across multiple teams, including successfully mentoring and growing other leaders. (experience)
- Deep technical mastery in Data Engineering, Marketing Technology, Analytics, or massive-scale SaaS platforms. (degree in data engineering)
- 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. (experience)
- Mastery of professional software engineering best practices, operational excellence, and agile methodologies. (degree)
- Exceptional executive communication skills—you can articulate a complex technical strategy to any audience. (experience)
- 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.) (experience)
Preferred Qualifications
- Direct experience with cross-channel attribution, campaign optimization, and media platforms. (experience)
- 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. (experience)
- Expertise in cloud-native architectures and modern data lake/warehouse technologies. (experience)
Responsibilities
- 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.
Benefits
- general: Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.
- general: Open to Flex (1-3 days/week in the office), or Office-Based (4-5 days/week in the office).
- general: Check out our Salesforce Engineering Blog
Tags & Categories