Lead Software Engineer (AI Labs (Product and Customer Facing))

• As a Software Engineer in this new business unit, you’ll touch every phase of the product lifecycle
• You’ll own a range of responsibilities, from generating ideas and designing prototypes to executing features and shipping releases, while working alongside world-class engineers who will champion your growth
• You’ll work hand-in-hand with technical and non-technical colleagues to uncover real customer problems and deliver solutions that address them
• You’ll rotate forward and embed directly with our most demanding customers and partners to quickly understand their greatest problems, then design and implement solutions against them
• You’ll apply your problem-solving ability, creativity, and technical skills to help organizations drive real impact in the world
• You’ll make use of everything around you: Salesforce products, open source technologies, and anything you and your team can build
• It doesn’t matter what languages you know when you join us
• What matters is that you can write clean, effective code and learn new languages quickly
• Our software is constantly evolving, so we need engineers who can do the same
• We also adapt to the diverse environments of our customers and deliver solutions that scale across disparate networks and infrastructure
• You’ll be on the forefront of something Salesforce has never done before
• You’ll learn how to unpack a problem and understand the costs and consequences of its solution, pick up new technologies and languages, and even develop them yourself, all within a collaborative community that will support and challenge you as you grow
• Work alongside motivated and talented engineers to bring cutting-edge theory into customer-facing practice
• Build tools and pipelines to support ML and AI efforts
• Design, build, deploy, and maintain production software and AI services, such as APIs, UIs, and agentic evaluators
• Roll out scalable cloud architectures and the software that runs on them
• Help with end-user requirements gathering and executive presentations
• Understand the toughest customer problems and devise thoughtful solutions

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year

• Experience with production cloud deployments such as AWS, GCP, or OCI
• Strong background in APIs, data modeling, and databases
• Excellent written and verbal communication skills
• A demonstrated, genuine AI-first approach to engineering: using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty
• Proven collaborator who can manage internal and external stakeholders and drive consensus across diverse engineering and product teams
• Experience field-debugging full-stack deployments
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor) in development workflows
• B.S. in Computer Science with coursework in Artificial Intelligence (M.S. preferred)
• Demonstrated ability to work both independently and collaboratively in a dynamic environment
• Solid understanding of security principles and best practices
• 5+ years of industry experience in Software Engineering, with a focus on AI/ML (7-12 years for Lead, 4-8 years for Senior)
• Proficiency in multiple programming languages such as Python, Go, Java, or C++
• Passion for continuous learning in AI technologies and enthusiasm for mentoring peers
• High level of authorship
• UI and graphic design sensibilities
• Experience with open-source technologies such as Kubernetes, Envoy, Grafana, React, and Redux