Internship Go-to-Market Engineering, AI & Automation (m/f/d)

Meyandy LLC

Berlin

Hybrid

EUR 11.000 - 20.000

Vollzeit

Vor 13 Tagen
Bewerbungsgenerator

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Zusammenfassung

Autarcenergy in Berlin is offering an Internship Go-to-Market Engineering, AI & Automation. You will build the technical infrastructure behind the revenue engine, collaborating with Sales, Customer Success, Marketing, Operations, and Product to automate workflows and deploy AI with measurable impact.

You’ll implement what you design—from Python or TypeScript code to internal apps and integrations—aiming to accelerate pipeline, conversions, and retention while learning in a high-growth startup

Qualifikationen

  • You are a builder. When you see a broken process, your instinct is to understand it and build something better.
  • You have strong technical skills and have worked in Python and/or TypeScript
  • You have hands-on experience building automations and integrations using tools such as n8n and APIs
  • You are comfortable working with databases, APIs, webhooks, and data pipelines
  • You are interested in Sales, Marketing, Customer Success, and the systems behind how SAAS companies create revenue
  • You can translate an ambiguous business problem into a technical solution without needing a detailed specification
  • You move fast, iterate, and are comfortable shipping a first version before everything is perfect
  • You are fluent in English. German or another European language is a plus

Aufgaben

  • Work on our GTM operating system
  • Build the systems powering our entire customer lifecycle – from first lead to closed customer and expansion
  • Build internal applications and workflows that help SDRs, Account Executives, Customer Success Managers, and leadership make better decisions and execute faster
  • Turn fragmented processes into scalable systems
  • Automate the revenue engine – Identify repetitive or inefficient workflows across Sales, Marketing, and Customer Success and automate them
  • Build automations for areas such as lead enrichment, routing, qualification, follow-ups, pipeline management, customer onboarding, and retention
  • Connect our GTM stack and ensure information moves reliably between systems
  • Integrate AI into real workflows – Move AI beyond prototypes
  • Build AI-powered workflows that help us qualify and prioritize leads, analyze calls and customer interactions, identify opportunities and risks, generate insights, and automate operational work
  • Experiment rapidly with new models and tools and turn successful experiments into reliable internal products
  • Build, don’t just recommend – You will personally implement what you design. Depending on the problem, that might mean writing Python or TypeScript, building an n8n workflow, connecting an API, querying a database, prototyping an internal application, or working with our engineers on a deeper integration
  • You should be comfortable moving between commercial conversations and technical implementation
  • Drive measurable commercial impact – Technology is a means, not the outcome. Your work should ultimately help us generate more pipeline, increase conversion, shorten sales cycles, improve retention, or allow our GTM organization to scale without adding unnecessary complexity
  • You will work closely with GTM leadership to identify the highest-leverage problems and own them from idea to measurable result

Kenntnisse

Python
TypeScript
n8n
APIs
Databases
Data pipelines
English fluency

Tools

HubSpot
Aircall
Stripe
Intercom
PostHog

Jobbeschreibung

Internship Go-to-Market Engineering, AI & Automation (m/f/d) — Autarcenergy, Berlin

Dein Impact autarc is building the operating system for energy installers across Europe. As we scale, we want our Go‑to‑Market organization to operate with the same level of automation, data quality, and product thinking as our engineering organization. In this Internship, you will work on the technical infrastructure behind our revenue engine. You will work directly with our Sales, Customer Success, Marketing, Operations, and Product teams to identify bottlenecks, build internal tools, automate workflows, connect systems, and deploy AI where it creates measurable commercial impact.

What You’ll Do
  • Work on our GTM operating system
  • Build the systems powering our entire customer lifecycle – from first lead to closed customer and expansion
  • Build internal applications and workflows that help SDRs, Account Executives, Customer Success Managers, and leadership make better decisions and execute faster
  • Turn fragmented processes into scalable systems
  • Automate the revenue engine – Identify repetitive or inefficient workflows across Sales, Marketing, and Customer Success and automate them
  • Build automations for areas such as lead enrichment, routing, qualification, follow-ups, pipeline management, customer onboarding, and retention
  • Connect our GTM stack and ensure information moves reliably between systems
  • Integrate AI into real workflows – Move AI beyond prototypes
  • Build AI‑powered workflows that help us qualify and prioritize leads, analyze calls and customer interactions, identify opportunities and risks, generate insights, and automate operational work
  • Experiment rapidly with new models and tools and turn successful experiments into reliable internal products
  • Build, don’t just recommend – You will personally implement what you design. Depending on the problem, that might mean writing Python or TypeScript, building an n8n workflow, connecting an API, querying a database, prototyping an internal application, or working with our engineers on a deeper integration
  • You should be comfortable moving between commercial conversations and technical implementation
  • Drive measurable commercial impact – Technology is a means, not the outcome. Your work should ultimately help us generate more pipeline, increase conversion, shorten sales cycles, improve retention, or allow our GTM organization to scale without adding unnecessary complexity
  • You will work closely with GTM leadership to identify the highest‑leverage problems and own them from idea to measurable result
Requirements
  • You are a builder. When you see a broken process, your instinct is to understand it and build something better.
  • You have strong technical skills and have worked in Python and/or TypeScript
  • You have hands‑on experience building automations and integrations using tools such as n8n and APIs
  • You are comfortable working with databases, APIs, webhooks, and data pipelines
  • You are interested in Sales, Marketing, Customer Success, and the systems behind how SAAS companies create revenue
  • You can translate an ambiguous business problem into a technical solution without needing a detailed specification
  • You move fast, iterate, and are comfortable shipping a first version before everything is perfect
  • You are fluent in English. German or another European language is a plus
Bonus Points
  • You have first experience in a dynamic start-up environment and have worked on technical solutions
  • Tools like HubSpot, Aircall, Stripe, Intercom, PostHog, or similar platforms are not entirely new for you
  • Ideally you have worked on or build internal tools, AI agents, lead‑scoring systems, enrichment pipelines, or automated outbound workflows.
  • You have worked in an early‑stage or high‑growth startup where speed and ownership mattered more than clearly defined responsibilities…
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