GTM Engineer (m / f / d)
At a glance
Mid-level Solutions & Sales Engineering role at Alasco. München · full-time.
Pay not stated
Growth Roles summary, based on the employer's posting.
What you'll do
- Pull signals from news, public records, and company announcements, then feed them into the CRM
- Create lead, account-health, and retention-risk models using transcripts, tickets, emails, and outside data
- Extend n8n or make.com with Python, LLM workflows, vector databases, and API connections
- Keep enrichment logic, data movement, and non-native tool integrations reliable as the revenue stack expands
What you bring
- A technical degree in Business Informatics, Information Systems, Computer Science, or a comparable field
- Strong Python ability for building scripts, data pipelines, and integrations from the ground up
- Hands-on experience with LLM pipelines, vector databases, RAG, and sentiment analysis
- Confidence turning messy transcripts, scraped articles, and emails into usable signals
- Fluent German and English for daily work across the team and company
Who this fits
This role suits a hands-on engineer who can connect technical systems with sales, marketing, and customer-success needs. You will work with GTM leadership and own projects from definition through ongoing operation. The role follows a hybrid schedule with two days in the Munich office and three days remotely.
From the employer
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
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