Internship Sales

Reposted 22 Days Ago
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Stuttgart, Baden-Württemberg, DEU
Hybrid
Internship
Artificial Intelligence • Robotics • Software • Industrial • Automation
The Role
Assist sales and go-to-market teams by analyzing performance data, optimizing CRM systems, and generating actionable insights to improve efficiency.
Summary Generated by Built In
Who We Are:

We build the intelligence that lets robots sense, reason, and act in the real world – not just in labs but in everyday industrial settings like warehouses and factories. Our technology helps closing automation gaps that traditional systems can’t solve. We’re on a mission to redefine how physical work gets done, and we’re looking for curious, bold thinkers to help shape the future of robotics with us.

Overview

We are looking for a motivated, hands-on Intern (m/f/d) to support our sales and go-to-market team. This internship is ideal for students or early-stage professionals who are passionate about leveraging data to drive decision-making in a fast-paced, AI-driven environment. This role is highly operational and impact-driven: You will work at the intersection of sales, marketing, and operations to uncover trends, optimize CRM systems, and contribute to impactful initiatives that improve sales efficiency and effectiveness.

Your Responsibilities
  • Clean and standardize CRM records

  • Support Reporting for C-Level executives

  • Improve data structure and maintain hygiene

  • Support ongoing CRM maintenance so reporting and sales execution stays reliable

  • Research and prepare outbound initiatives for target accounts

  • Create and maintain offer/proposal templates

  • Build a presentation library (deck modules, reusable slides, versioning/structure)

  • Organize case studies and documentation so sales and marketing can find and reuse content quickly

  • Support ad-hoc operational tasks that unblock the team and improve execution speed

Qualifications
  • Ongoing studies in Business, Economics, Data/Analytics, Marketing Ops, or related fields (or comparable early-stage experience)

  • Very strong attention to detail and willingness to do structured operational work

  • Confident with Excel/Google Sheets; interest in CRM systems (HubSpot experience is a plus)

  • Able to research quickly and summarize clearly (stakeholders, pains, context)

  • Organized working style; you enjoy creating order, templates, and reusable structures

  • Proactive mindset: you spot gaps, propose improvements, and follow through

Our interview plan
  • Application

  • Take‑home assignment: You’ll complete a short, role‑relevant task with clear instructions and a deadline.

  • Cultural fit interview (40 min): A conversation about how you work, what motivates you, and what you’re looking for. Expect CV highlights, your “why,” and time for your questions.

  • Founder Interview (30 min)

What We Offer
  • Flexible working hours

  • Option to work from home when needed

  • A motivated team and an open culture

Skills Required

  • Ongoing studies in Business, Economics, Data Science, or a related field
  • Strong analytical and problem-solving skills
  • Experience with Excel and basic familiarity with CRM systems
  • Comfortable working with large datasets
  • Ability to communicate findings clearly
  • A proactive, collaborative mindset
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The Company
HQ: Stuttgart
69 Employees

What We Do

Sereact's mission is to drive your economic growth by closing automation gaps in your intralogistics. Our AI software enables machines to perceive their environment and develop solution strategies on their own, thus qualifying them to become autonomous skilled workers. By leveraging embodied AI for robotics, we ensure that our systems not only think but also physically interact with their surroundings in an intelligent manner. Sereact's AI software for autonomous robotics fully automates pick-and-place processes, making them more efficient, reliable and resilient. Our goal is to optimize your supply chain with minimal integration effort to increase productivity in your warehouse from the first pick while significantly reducing costs.

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