Senior Manager, Software Engineering

Description

Role Overview

As a Senior Manager of Software Engineering within the Marketing Intelligence group, you will lead the next generation of AI-driven marketing solutions. Salesforce Israel is the global hub for Marketing Intelligence, and this role is at the center of our most ambitious pivot: Agentic Automation. You will be responsible for managing 2-3 high-performing scrum teams (16-20 Individual Contributors), overseeing the architecture and delivery of autonomous AI agents that help marketers optimize spend, analyze campaign performance in real-time, and bridge the gap between Data Cloud and actionable business outcomes.

Your Impact

• Strategic Leadership: Define and execute the technical roadmap for the Marketing Intelligence platform, specifically focusing on Agentforce capabilities, LLM integration, and real-time data harmonization.
• Team Evolution: Manage, mentor, and scale a world-class engineering organization of 16-20 engineers. Foster a culture of "Owner-Mindset," technical excellence, and rapid iteration.
• Architectural Stewardship: Guide the design of complex, distributed backend systems that leverage Data Cloud to power autonomous agents (e.g., Paid Media Optimization Agents).
• Cross-Functional Synergy: Partner closely with Product Management, Data Science, and Salesforce Research to transform cutting-edge AI models into scalable, enterprise-grade products.
• Operational Excellence: Drive the full software development lifecycle in a hybrid engineering model, ensuring high availability, security, and performance for thousands of global enterprise customers.
  
  

• Engineering Leadership: 8+ years of experience in software engineering, with at least 3+ years in a senior management, leading multiple teams in a high-growth environment.
• AI & Intelligence Domain: Proven experience building and deploying AI-driven products. Familiarity with LLM orchestration, prompt engineering, and agentic workflows (e.g., LangGraph or similar frameworks).
• Technical Depth: Strong background in distributed systems, big data architecture (Spark, Snowflake, or Data Cloud equivalents), and backend technologies (Java, Python, or Go).
• Marketing/AdTech Context: (Preferred) Experience in Marketing Intelligence, AdTech, or Analytics, understanding KPIs like ROAS, Attribution, and Audience Segmentation.
• Scale: Experience operating at "Salesforce Scale"—handling millions of events and complex data pipelines with zero downtime.
• 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.)