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Salesforce

AI Labs Rotational Fellowship, Emerging Talent

Salesforce

. Participate in a highly selective, 24-month rotational fellowship across four six-month rotations .

Posted 11/10/2026full-timeUnited StatesJuniorMid-Level💰 $114,400 - $147,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI product development, including building and deploying AI applications and solutions. Strong foundation in software engineering principles, data structures, and algorithms, with effective communication skills for engaging with stakeholders.

Highest-signal resume keywords
Proficiency In PythonExperience In AI Application DevelopmentUnderstanding Of Core AI/ML ConceptsStrong Written And Verbal Communication SkillsExposure To Cloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data StructuresAlgorithmsSoftware EngineeringTechnical Problem SolvingAI Application DevelopmentMachine LearningPortfolio Evidence Of Software DevelopmentScalable Data Processing FrameworksMLOps PipelinesModern AI Development Tools
Soft Skills
Strong Communication SkillsAbility To Explain Technical Concepts
Tools & Technologies
PythonSparkSQLCloud InfrastructureAI Development Tools
Industry Keywords
AI-Powered ProductsEnterprise SolutionsCustomer InsightsProduct StrategyTransformation At Scale

Tech Stack

Tools & technologies
CloudPythonSparkSQL

About the role

Key responsibilities & impact
  • Participate in a highly selective, 24-month rotational fellowship across four six-month rotations
  • Design, build, prototype, and ship AI-powered products, applications, agents, and enterprise solutions
  • Develop deep technical expertise in production-scale engineering
  • Translate customer needs into product strategy and define priorities
  • Work directly with customers to develop and deploy AI solutions
  • Reimagine enterprise workflows and operations using AI to drive transformation at scale
  • Collaborate with teams developing AI agents, process generation, and conversational AI
  • Partner with field, product, and engineering teams on real customer use cases
  • Own ideas from concept through experimentation, development, and production deployment
  • Translate customer insights and technical discoveries into product improvements, new capabilities, and innovative AI experiences
  • Transition into high-impact AI teams across Salesforce upon successful completion of the fellowship

Requirements

What you’ll need
  • Currently pursuing or have completed a 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
  • Experience developing software 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
  • Strong written and verbal communication skills
  • Ability to explain technical concepts clearly to enterprise stakeholders and external clients
  • 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 is an advantage
  • Exposure to cloud infrastructure, scalable data processing frameworks (Spark, SQL), or MLOps pipelines for model deployment is an advantage

Benefits

Comp & perks
  • Job shadowing
  • Mentorship programs
  • Talent development courses
  • AI-native development tools and large-scale compute resources
  • Time off programs
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Mental health support
  • Paid parental leave
  • Life insurance
  • Disability insurance
  • 401(k)
  • Employee stock purchasing program
  • Reasonable accommodation during the application or recruiting process