Summer 2025 Intern - Responsible AI & Technology Product Analyst

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

About Futureforce University Recruiting

Our Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.

Job Category

Fixed Term & Temporary

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

DEPARTMENT DESCRIPTION:
Salesforce's Office of Ethical and Humane Use is hiring a Futureforce intern to play a pivotal role in the development of product, technical, and business processes guiding the responsible development of artificial intelligence and other cutting-edge technologies.

ROLE DESCRIPTION:
Working together with the Director of Responsible AI & Tech and the entire Responsible AI & Tech team, they will help deliver guidance, guardrails, and features that ensure AI and other Salesforce technology is designed, developed, and delivered in alignment with Salesforce’s ethical use and responsible AI principles.

ROLE RESPONSIBILITIES:

• Collaborate with cross-functional partners including product teams, engineering, AI research, legal, security, UX, research & insights, customer experience, and marketing to provide oversight and support the development of high-risk AI features

• Deliver recommendations for how negative consequences might be mitigated and drive prioritization of those mitigations

• Influence how teams create model and system cards (aka nutrition labels) for generative AI models (1st- or 3rd- party)

• Research and make recommendations for what should be included and creation of a standardized template or a model card / system card generator (tool)

• Please note that while your work will involve collaborating with technical stakeholders, this is not a software development role

MINIMUM QUALIFICATIONS:

• Enrolled and working towards obtaining an undergraduate degree (BA/BS) in a relevant field such as but not limited to Computer Science, Data Science, Sociology, Global Studies, Informatics, Political Science, Human-Computer Interaction, or Ethics

• Please note that in order to be eligible for an internship, we require that you be returning to school the following quarter/semester to work towards completing your degree

• Must be attending a College or University in North America

• Strong interest in Trust and Safety, AI Ethics, Product Management, Product Policy, Ethical Technology and a passion for addressing equity, diversity, and inclusion issues in AI development

• Strong verbal and written communication skills with validated problem analysis and problem-solving skills

• Intellectually curious, detail-oriented, and driven to make an impact on the business

• Strong experience using Google Suite - Slides, Sheets, and Docs

PREFERRED QUALIFICATIONS:

• Demonstrated project leadership skills with direct responsibility for leading projects from start to finish

• Experience analyzing ethical considerations or risks in technology development

• Ability to translate complex concepts and communicate actionable recommendations to a diverse audience of stakeholders

• Familiarity with AI and machine learning concepts

Accommodations

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