GTM Engineer (m/f/d)

Posted 16 Days Ago
Be an Early Applicant
München, Bayern, DEU
In-Office
Mid level
Real Estate • Software
The Role
Build end-to-end GTM-focused data and AI systems: scrape external signals, enrich CRM, create scoring and retention models, build LLM pipelines and integrations, and maintain revenue infrastructure.
Summary Generated by Built In
The Role

This is a hands-on engineering role at the intersection of GTM and AI. You build the systems that help Sales, Marketing, and CS work on the right things: automated lead identification, scoring models that flag retention risks before anyone notices them, LLM pipelines, custom integrations.

You own what you build end-to-end - scoping, shipping, keeping it running. You work closely with GTM Leadership.

What You'll Do
  • Source pipeline from external data: Scrape and process signals from outside the CRM - news, public records, company announcements - and integrate them back into the CRM, the place where Sales Reps work.
  • Build scoring and enrichment systems: Retention risk, account health, lead scoring: models that pull from transcripts, tickets, emails, and external data to give teams early signals on what needs attention.
  • Write the automation no tool covers: You bring n8n or make.com workflows to the next level. Python scripts, LLM pipelines, vector databases, API integrations to get the best outcome.
  • Keep the revenue infrastructure running: The data flows, enrichment logic, and integrations between tools that don't connect natively. You own the technical layer and keep it working as the stack grows.
What We're Looking For
  • You have a technical degree. Business Informatics, Information Systems, Computer Science, or similar. You're at home in both the data and the business context.
  • Python is your default for anything complex. You write scripts, pipelines, and integrations from scratch and know when no-code is the right call and when it isn't.
  • You feel comfortable with AI. You've built LLM pipelines, vector databases, RAG, sentiment analyses. You understand how these systems behave in practice, not just in theory.
  • You're comfortable with unstructured data: transcripts, scraped articles, emails. Extracting a usable signal from a messy input is a normal part of your work.
  • You're fluent in German and English. You'll move between both daily, with the team and across the company.
What we offer
  • Hybrid work model: 2 days in our Munich office, 3 days remote.
  • Invest in your strongest resource: you. You’ll get a €2,000 annual learning budget plus three dedicated learning days. Whether you sharpen your closing skills, dive into a new topic, or get fresh inspiration, it’s your call.
  • AI is part of the craft here, not “future roadmap.” You’ll work with tools that genuinely give you time back, so you can focus on what matters.
  • Time that’s just yours: 28 vacation days per year, so you can properly switch off between ambitious goals.
  • Support for your everyday life: €40 per month for Navit or Wellpass. For commuting to the office, your post-work workout, or both.
  • We celebrate wins together: At company and team events, Alascians come together, not because it’s on the calendar, but because strong teams share more than just numbers.
      About us

      Real estate is one of the world’s largest, most capital-intensive - and least digitized - industries. We’re changing that. Alasco is building the leading AI Platform for Real Estate, purpose-built for an era in which AI fundamentally reshapes how decisions are made. If you want to work where technological possibility has a direct seat at the decision-making table, this is your place.

      We deliver impact to several hundred customers already today - making investment and construction decisions measurably better for our customers. And we’re just getting started.

      We welcome applications from all people. Regardless of gender, origin, religion, age, sexual orientation, or disability.


      Our hiring process
      • Intro Call with Recruiting
      • Hiring Manager Interview
      • On-site Interview (including a task)
      • Meet one of the Co-CEOs

      Skills Required

      • Technical degree (Business Informatics, Information Systems, Computer Science, or similar)
      • Proficient in Python for scripts, pipelines, and integrations
      • Experience building LLM pipelines, vector databases, and RAG systems
      • Experience with no-code / automation tools and workflows (n8n or make.com)
      • Experience extracting signals from unstructured data (transcripts, emails, scraped content)
      • Experience building scoring/enrichment systems (lead scoring, retention risk, account health)
      • Experience with API integrations and keeping multi-tool revenue infrastructure running
      • Fluent in German and English
      • Ability to scope, ship, and operate systems end-to-end; work closely with GTM leadership
      Am I A Good Fit?
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      The Company
      HQ: Munich
      128 Employees
      Year Founded: 2018

      What We Do

      Alasco takes collaboration, people and processes to the next level to bring the real estate and construction industry up to par with leading digital industries. With cloud-based software, we motivate and enable our customers to manage their finance controlling and ESG Performance smart and digital. Project teams gain significant efficiencies from the automation of manual processes and can focus fully on their projects’ success. We are proud to be trusted by over 200 real estate developers and construction professionals such as GARBE, Hines or INCEPT who manage their ventures with Alasco. With ambition and dedication, our team of 140 frontrunners fulfils the promise to our customers: building digital impact

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