Senior Director, Software Development

Oracle Oracle · Enterprise · Nashville, TN +1

Senior Director of Software Engineering to lead teams building AI-native products that improve the software development lifecycle within Oracle Cloud Infrastructure. The role involves defining strategy, leading engineering organizations, and translating AI advancements into practical, scalable developer experiences.

What you'd actually do

  1. Establish the engineering vision, strategy, and priorities for products that improve the software development lifecycle across OCI.
  2. Build and lead an exceptional organization through engineering managers, technical leaders, and senior engineers.
  3. Create an environment in which teams can experiment rapidly, learn directly from developers, and turn promising ideas into trusted production products.
  4. Partner with product management, design, security, applied AI, and OCI engineering organizations to identify and solve the most valuable developer problems.
  5. Translate advances in artificial intelligence into useful, secure, reliable, and scalable developer experiences.

Skills

Required

  • building and operating production software products
  • developer platforms
  • cloud services
  • large scale distributed systems
  • leading engineering organizations
  • taking new products from early exploration and customer validation through production delivery and broad adoption
  • defining organizational strategy
  • establishing measurable goals
  • developing leaders
  • delivering complex initiatives across organizations
  • modern software development practices
  • source control
  • continuous integration
  • testing
  • release automation
  • observability
  • production operations
  • building products that apply artificial intelligence, machine learning, intelligent agents
  • product judgment
  • connecting emerging technologies with practical solutions
  • delivering measurable value
  • Computer Science, Engineering, or a related technical field, or equivalent practical experience

Nice to have

  • building developer products or platforms used by large engineering organizations
  • applying generative artificial intelligence, intelligent agents, retrieval systems, evaluation frameworks, or model driven automation to software development
  • establishing practices for the secure and responsible use of artificial intelligence, including privacy, evaluation, observability, and human oversight
  • building new products and organizations in environments that require urgency, adaptability, and rapid learning

What the JD emphasized

  • AI native products
  • AI, machine learning, intelligent agents
  • generative artificial intelligence, intelligent agents, retrieval systems, evaluation frameworks, or model driven automation

Other signals

  • AI native products
  • advances in artificial intelligence into practical products
  • AI, machine learning, intelligent agents