Salesforce
Director, Software Engineering
$197K–$345K
California - San Francisco · Office Tech-Flexible · Director · Full-time · Posted Oct 23, 2026
- Experience
- 10+ years of software engineering experience, including 5+ years leading and developing engineering teams.
- Education
- A degree in computer science or a related field, or equivalent practical experience.
About the job
Leads the Salesforce Database AI team, setting strategy and delivering production AI capabilities for database engineering and operations.
What you'll do
- Own the team’s strategy, technical roadmap, architecture decisions, delivery, and operational excellence.
- Lead and develop AI engineers and data scientists, including setting goals, managing performance, and developing technical leaders.
- Partner across Salesforce to prioritize work and deliver production AI for database operations, including proactive risk detection, investigation, security, and automation.
What they ask for
- 10+ years of software engineering experience, including 5+ years leading and developing engineering teams delivering complex production systems.
- Track record of scaling high-performing, diverse engineering teams and delivering production AI systems.
- Deep expertise in AI, including machine learning and agentic systems, with technical judgment in system design, reliability, and operational risk.
- Experience with large-scale databases, distributed systems, public cloud, and multi-tenant platforms.
Pay
$197,300 - $313,700 annually (base salary); $237,700 - $344,700 annually (base salary)
Tools
Salesforce Database (SDB), AI, machine learning, agentic systems, large-scale databases, distributed systems, public cloud
AI focus
Lead development of shared AI foundations, tools, agents, and workflows for database engineering and operations; deliver production AI for operational intelligence, proactive detection, investigation, security, and automation.
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