MBA Intern, Solutions Engineering

Ottimate
$20 - $25

About The Position

Ottimate's Solutions Engineering team works directly with customers, before and after the sale, to solve the technical problems that stand between a prospect and a working integration. When a customer's system has no standard connection path, the team builds the solution, often live and AI-assisted. As an example, a recent customer's system could only export an HTML file with no payment path, and the team turned it into a working integration in a day. You will spend 8 weeks building the analytics and operations layer that supports this team: measuring the revenue impact of integration work, creating enablement materials, and assisting the director with organizing the operational processes that connect Solutions Engineering to sales and product. You will work with AI tools every day to get it done. This is a build-the-machine internship, not a make-the-decks internship.

Requirements

  • A current MBA student.
  • Analytical: comfortable building a metrics baseline from CRM and deal data, and defensible about your numbers.
  • A strong written communicator: much of this job is turning messy operating reality into one-page artifacts people actually read.
  • AI-curious: eager to make AI tools part of how you work, not just a topic you studied. No engineering background required.

Responsibilities

  • Revenue analytics: Build and own a live dataset of blocked and declined integrations, classified by what it would take to unlock each one, sourced from Salesforce deal data. Stand up the team's success-metrics baseline (recovered revenue, expansion pipeline, win rate on previously declined integrations, time from customer ask to working prototype) and deliver a recurring readout for leadership.
  • Enablement: Help draft and roll out the team's customer discovery-question playbook, document a recent customer build as a case study for onboarding, and turn the team's integration-classification framework into a one-page decision guide with worked examples.
  • GTM operations: Support the connective tissue between Solutions Engineering, sales, and product: keep the classification log current, track team-sourced expansion opportunities from first conversation to pipeline, and maintain the revenue-ranked log of product signals through to roadmap or ship.
  • Work with AI tools every day: This is an AI-native internship. You will get a paid Claude account and work the way the team works: Pull and analyze Salesforce deal data with AI-assisted querying instead of waiting on an analyst. Build metrics readouts, decision guides, and playbook drafts with AI doing the heavy lifting on first drafts and data wrangling, while you own accuracy and judgment. Sit with a team that prototypes customer solutions live with AI, and learn that workflow firsthand.
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