Go-to-Market AI & Data (AI x Greentech) (m/f/d) — Opportunihub
Job

Go-to-Market AI & Data (AI x Greentech) (m/f/d)

Reonic · Berlin

At a glance

Type
Job
Organisation
Reonic
Location
Berlin
Work mode
On-site
Deadline
Rolling / not stated
Posted
4 Aug 2026

About this job

<p style="min-height:1.5em"><strong>Do you thrive in fast-paced environments and have a passion for renewable energy?</strong></p><p style="min-height:1.5em">As our Go-to-Market AI &amp; Data Associate, you will be the co-architect of our data ecosystem. You’ll take full ownership of making customer and revenue data accessible, building internally used applications from the ground up, and deploying AI to supercharge our growth.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><em><strong>Please note that for this role, C2 English proficiency is required. This is a full-time, on-site position based in Berlin.</strong></em></p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What You’ll Do</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Process Innovation &amp; AI Implementation:</strong> You will dive deep into our customer-oriented workflows to reshape them with your creative, AI-driven ideas and technical skills. As the owner of the implementation, you won't just strategize - you will personally drive these improvements from concept to reality.</p></li><li><p style="min-height:1.5em"><strong>Vertical Owner (Data Driven Analytics):</strong> You will relentlessly improve our data product experience by working with internal and external stakeholders to identify bottlenecks, refine analytical fit, and personally onboard them into a world-class, data-driven workflow.</p></li><li><p style="min-height:1.5em"><strong>Data Accessibility:</strong> Design and maintain robust pipelines to make data from our customers, HubSpot, and Aircall fully usable and accessible across the organization.</p></li><li><p style="min-height:1.5em"><strong>AI Integration:</strong> Implement AI-driven workflows and predictive models to automate insights, lead scoring, and trend forecasting.</p></li><li><p style="min-height:1.5em"><strong>Hands-on Engineering:</strong> Work directly in Python (or TypeScript) to integrate diverse data sources yourself.</p></li><li><p style="min-height:1.5em"><strong>Strategic Impact:</strong> Collaborate with Sales, Marketing, and Success teams to transform complex datasets into powerful BI dashboards that drive faster, smarter decisions.</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What Makes You a Great Fit</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You are hungry, driven, and eager to find smart, efficient solutions. You don't just accept the status quo - you constantly look for ways to innovate and optimize.</p></li><li><p style="min-height:1.5em">You are an expert in using n8n, Python (TypeScript is a bonus) and have a deep understanding of modern BI tools and SQL.</p></li><li><p style="min-height:1.5em">You are passionate about how AI can optimize revenue processes and have the skills to implement it.</p></li><li><p style="min-height:1.5em">Bonus: Ideally, you have experience in BI or Data Engineering, with a proven track record of building data warehouses and integrating SaaS tools (like HubSpot or Aircall)</p></li><li><p style="min-height:1.5em">You are proactive and structured, you don’t wait for a ticket; you identify bottlenecks in our data flow and fix them.</p></li><li><p style="min-height:1.5em">You are fluent in English. Proficiency in German, Italian, French or Portuguese is a plus.</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Why Join Us?</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Be part of one of the fastest growing VC-backed startup in Germany with 3000+ satisfied B2B customers.</p></li><li><p style="min-height:1.5em">A vibrant, collaborative office culture where great ideas happen face-to-face - we're a full in-person team (5 days/week) in a beautiful Berlin office near Hackescher Markt.</p></li><li><p style="min-height:1.5em">Enjoy opportunities for personal and professional growth.</p></li><li><p style="min-height:1.5em">Receive competitive pay.</p></li><li><p style="min-height:1.5em">Perks include gym membership, coffee, regular team events, MacBook and more.</p></li><li><p style="min-height:1.5em">Embrace the freedom to innovate and make quick changes in a dynamic team.</p></li></ul><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><p style="min-height:1.5em">Even if you don’t meet every requirement, we encourage you to apply! Imposter syndrome shouldn't hold you back - we value talent and passion above all.</p><div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div><p style="min-height:1.5em"><strong>About Reonic</strong></p><p style="min-height:1.5em">At Reonic, we’re on a mission to simplify renewable technology with our AI operating system for renewable installers. Backed by top-tier investors and trusted by 3000+ business customers, we’re growing fast - and we need YOU to help us accommodate our new and existing customers.</p><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on Reonic’s official page.
  4. 4 Submit as early as possible — many close once filled.
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Frequently asked questions

How do I apply for Go-to-Market AI & Data (AI x Greentech) (m/f/d)?

Review the full details and eligibility on this page, prepare your documents, then use the “Apply on official site” button to complete your application on Reonic’s official page.

Is this opportunity remote or location-based?

This opportunity is based in Berlin. Check the official listing for any relocation or on-site requirements.

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