AI Labs Rotational Fellowship, Emerging Talent
Salesforce
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- SalesforceProduct managementOperationsData structures & algorithmsPythonMachine learning
- Work
- On-site in New York
- Pay
- Not stated by the employer.
- Skill demand
- Operations28%Data structures & algorithms16%Product management12%Salesforce3%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 10, 2026 · still open
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About the Role
Salesforce AI Labs is seeking emerging AI and computer science talent for a 24-month rotational fellowship. This program is designed to develop the next generation of AI builders through four six-month rotations. Fellows will tackle technical and customer challenges, build with frontier AI technologies, and ship solutions into production at enterprise scale.
Key Responsibilities
- Design, prototype, and deploy AI-powered applications, agents, and enterprise solutions.
- Collaborate with teams developing cutting-edge AI capabilities, including AI agents, process generation, and conversational AI.
- Partner with field, product, and engineering teams to build, customize, and deploy AI solutions for real customer use cases.
- Own end-to-end development from concept through experimentation, development, and production deployment.
- Translate customer insights and technical discoveries into product improvements, new capabilities, and innovative AI experiences.
Rotational Dimensions
- Build (Product Engineering): Design, build, and ship AI-powered products, developing technical expertise in production-scale engineering.
- Shape (Product Management): Translate customer needs into product strategy, define priorities, and shape the next generation of AI products.
- Deliver (FDE / Builders): Work directly with customers to develop and deploy AI solutions that solve real-world business challenges.
- Transform (DET / Customer Zero): Reimagine enterprise workflows and operations, leveraging AI to drive transformation at scale.
Requirements & Tech Stack
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, or a related technical discipline.
- Strong foundation in data structures, algorithms, software engineering, and technical problem-solving.
- Practical coding experience through academic projects, research, internships, professional work, or independent technical projects.
- Proficiency in Python.
- Experience building software, AI, or machine learning applications.
- Understanding of core AI/ML concepts.
- Experience using modern AI development tools.
- Demonstrated curiosity, high ownership, and ability to solve complex problems in fast-moving, ambiguous environments.
- Strong written and verbal communication skills.
Even Better If You Have
- Portfolio evidence of building, deploying, or open-sourcing software or AI applications.
- Up to 2 years of internship or professional experience in software engineering, data engineering, machine learning, or solutions architecture with demonstrated experience handling production environments and real-world datasets.
- Exposure to cloud infrastructure, scalable data processing frameworks (Spark, SQL), or MLOps pipelines.
Fellowship Details
- Duration: 24 months
- Cohort Start Date: July 6, 2027
- Upon successful completion, Fellows will transition into high-impact AI teams across Salesforce.