Senior​/Lead AI Software Engineer, Agentforce Supply Chain

Overview of the Role

Join an agile team with deep startup roots. We operate as a high‑velocity "startup‑within‑Salesforce," following our recent acquisition. You will be managed by the same founders and engineers who built the original company, offering the autonomy of a small team backed by the global scale and trust of Salesforce. You will have the unique opportunity to build a 0 to 1 product with the founding team, while leveraging Salesforce's world‑class Data Cloud and security infrastructure to drive immediate global impact at scale.

Global supply chains still rely on slow, manual processes—email, spreadsheets, and fragmented data. The economy moves fast but supply chains don’t, creating an inefficiency that affects the $13T of goods shipped annually and is one of the largest untapped opportunities in modern enterprise.

Agentforce for Supply Chain is reimagining the supply chain with an AI‑powered platform for designing, automating, and running end‑to‑end business processes, with seamless collaboration through familiar channels like email. For Salesforce, this represents a massive growth opportunity in the back office, with innovations that flow into the front office. Customers are clamoring for more, rapidly expanding their use cases as we enter an exhilarating growth phase.

• Lead development of intelligent agents that complete complex supply chain tasks with reliability and consistency
• Spearhead architectural decisions for distributed systems serving millions of users with 24/7 availability
• Design and implement planning systems that enable agents to execute multi‑step workflows autonomously
• Build and ship high‑quality, production‑grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high‑quality code.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
• Critically evaluate code—including both human‑generated and AI‑generated code—for correctness, quality, security, and performance.

• Partner with Product Management and Executive Leadership to translate business vision into multi‑year technical roadmaps
• Guide technical decision‑making for AI model deployment, safety constraints, and reliability frameworks
• Drive adoption of enterprise‑grade observability tools and cloud infrastructure best practices

• Mentor engineers to improve code quality, AI/ML practices, and system design
• Collaborate with cross‑functional teams—including Design, Product Management, and industry experts—to build high‑quality product features
• Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic environment
• Engage directly with customers to gather insights and validate technical approaches
• Participate in hiring decisions and contribute to our culture of continuous learning

• B.S. in Computer Science with coursework in Artificial Intelligence (M.S. preferred)
• 5+ years (7‑12 for Lead, 4‑8 for Senior) of industry experience in Software Engineering, with a focus in AI/ML
• Proficiency in multiple programming languages such as Python, Go, Java, or C++
• Strong background in APIs, data modeling, and databases
• Proficient with modern AI orchestration frameworks (e.g., Lang Chain, Llama Index) and production‑grade serving libraries like vLLM or Hugging Face TGI
• Demonstrated ability to work both independently and collaboratively in a dynamic environment
• Excellent written and verbal communication skills
• Passion for continuous learning and development in AI technologies, and enthusiasm for mentoring peers
• A proven collaborator who can manage stakeholders and drive consensus across diverse engineering and product teams
• Experience with enterprise‑grade observability tools (e.g., Splunk) and cloud…