Summer 2027 Intern - MBA Business Value & Strategic Selling Consultant

Salesforce•New York, NY

2d•$46 - $57•Onsite

About The Position

The Business Value Services (BVS) team at Salesforce partners with Sales and Solution Engineering on strategic customer engagements. This intern based in New York, New York will build quantified financial value perspectives showing how Salesforce solutions, including Agentforce and other AI capabilities, drive measurable business outcomes across industries such as Retail and Consumer Goods, Professional and Talent Services, High Tech, Manufacturing, Communications, Media and Technology, and Public Sector.

Requirements

Currently enrolled in an MBA program with an expected graduation of Spring 2028.
5 or more years of professional experience in roles requiring structured analysis, financial modeling, or solution-based selling in complex environments.
Experience building and delivering presentations to senior stakeholders.
Demonstrated ability to structure complex business problems and develop actionable recommendations.
Regular, hands-on use of generative AI tools, including writing clear prompts, evaluating outputs, and determining when human review is needed.

Nice To Haves

Prior experience in value consulting, management consulting, or investment banking.
Familiarity with CRM platforms or enterprise software sales cycles.
Experience scoping, building, or measuring an AI project.
Familiarity with retrieval-augmented generation (RAG), model evaluation, and AI governance concepts.

Responsibilities

Facilitates internal and external discovery sessions to understand customer business processes and where AI and automation could change how work gets done.
Collaborates with customers and sales teams to prioritize value drivers, including key performance indicators, and builds a quantified value model supporting customer business goals.
Sizes AI use cases, such as agents that resolve service requests or support sellers, and models the impact on capacity, cost, and revenue.
Pressure-tests the assumptions behind AI business cases, including adoption rates, data readiness, and required human review.