Salesforce is looking to solve the problem of building the next generation of conversational AI that transforms shopping into a simple, intelligent, and delightful conversation for the world's biggest brands
Requirements
- Deep mastery in designing and building highly scalable, cloud-native systems, including distributed and event-driven architectures
- You've got a favorite modern backend language (like Java, Python, or Go) and a track record of wrestling large-scale data in both SQL and NoSQL environments
- Significant experience building and deploying on public cloud platforms (AWS, Azure, or GCP)
- Prior experience in E-commerce, conversational AI, chatbot development, or large-scale search/recommendation systems
- Experience working with and deploying machine learning models, specifically involving NLP/NLU or Generative AI/LLMs
- Technical communication—you can articulate a complex technical vision and help the other person understand
- 12+ years of experience and 3+ years operating as a Principal Engineer (or equivalent) for large-scale production systems
Responsibilities
- Own the Technical Future: You'll be the champion of our long-term technical strategy, ensuring our platform is ready to scale for the world's largest commerce sites and leverage the latest breakthroughs in AI/ML
- Play with Cutting-Edge Tech: You will be the one researching, evaluating, and integrating technologies like Large Language Models (LLMs), Natural Language Understanding (NLU), and vector databases to enhance the intelligence of our agent
- Solve the Hardest Problems: You'll tackle systemic performance bottlenecks and architectural deficiencies in highly distributed, fault-tolerant cloud-native systems
- Elevate the Craft: This role is about influence. You’ll be collaborating with cross-functional teams, mentoring senior engineers and raising the bar for engineering excellence across the entire Commerce Cloud organization
- Designing and building highly scalable, cloud-native systems, including distributed and event-driven architectures
- Building and deploying on public cloud platforms (AWS, Azure, or GCP)
- Wrestling large-scale data in both SQL and NoSQL environments
Other
- 12+ years of experience
- 3+ years operating as a Principal Engineer (or equivalent) for large-scale production systems
- Time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program
- Bachelor's degree or equivalent
- Travel may be required
