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GTM Engineer, marketing (f/m/d)

AI Summary
This role builds AI-native go-to-market workflows and marketing intelligence systems for a B2B hospitality technology company. The GTM Engineer will design agentic and deterministic workflows, connect marketing platforms, and improve the reliability of commercial data. Key outcomes include scalable campaign measurement, faster performance analysis, and clear attribution from marketing activity to demand and pipeline. The position partners closely with channel owners and requires strong technical judgment, commercial thinking, and comfort operating in ambiguity.
Remote from
Germany
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
12 Dec 2026
Listing views
34
Application actions
1
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Opportunity details

About this role.

We created Apaleo to change the hospitality industry in a meaningful way. Our API-first property management platform empowers accommodation providers to design a technology stack that creates unique digital guest and staff experiences. At Apaleo, you’ll find a diverse, international team united by a passion for learning and building – and we move fast.

We’re looking for a GTM Engineer, Marketing (f/m/d) to join our team in Munich, Germany.

You won’t just use AI tools. You’ll help build the agentic layer that supports our GTM efforts: workflows and agents that take repeatable work off channel owners’ plates and make marketing measurably better at creating demand and influencing pipeline. You’ll build on what the team has already started, work side by side with channel owners, and measure every decision against one thing: commercial impact.


Your mission

Support channel owners with an agentic layer

  • Contribute to the design of our agentic architecture and work toward the long-term vision: a two-way loop where learnings and signals trigger updates, so marketing shifts from reactive to continuously adaptive.
  • Work with channel owners to build agentic workflows that take repeatable work off their plates they then can run and adapt without you
  • Spot gaps along the way and close the ones that move pipeline

Create the campaign intelligence behind it

  • Build the campaign lifecycle framework: which signals predict demand at each stage, how content maps to pipeline progression, and what real-time performance tracking requires technically
  • Automate the assembly work of pulling, structuring, and summarising performance data across channels, so channel owners can act on insight rather than chase it
  • Help channel owners move campaign performance analysis from experiment to production, with pipeline contribution as the headline metric

Improve the data foundation it all runs on

  • Audit where marketing data lives today (HubSpot, Google Analytics, LinkedIn, etc.) and map how it actually flows, or doesn’t, between systems
  • Design clean, structured data connections so every agent and workflow has reliable inputs, and so demand and pipeline become measurable end to end
  • Partner with channel owners to connect what’s already there into one coherent commercial data layer that ties activity to impact

You’d be a great fit if you

  • Have hands-on experience building AI-native marketing/GTM systems in B2B
  • Tie every technical and campaign decision to commercial impact, whether demand generation or pipeline conversion
  • Think in systems: you map a workflow before building it and know which steps should be agentic, which deterministic, and which need a human in the loop
  • Know how HubSpot, GA, and other marketing platforms pass data between each other, and can design scalable end-to-end flows around that
  • Are at ease with APIs: you can read the docs, make calls, and work with endpoints and data structures without an engineer beside you
  • Thrive in ambiguity and never stand still: This is a new function, and you’ll be defining it as much as filling it. You spot gaps before anyone asks and come up with ideas that move the needle.
  • Are genuinely curious about hospitality and the people you’ll be marketing to
  • Communicate fluently in English; German or French is a strong plus

Perks & Lifestyle

  • Flexible & Remote Work Options: We focus on results, not clocking hours. You can work from home, the office or in a hybrid setup, with flexibility to adapt your schedule as long as it makes sense for your role, your team and our business.
  • Free Public Transport: Travel across Germany with ease using our fully covered Deutschland Ticket.
  • Team Connection: Strong connections fuel collaboration. We celebrate and connect through regular team dinners, company meetups, Oktoberfest celebrations, Christmas parties, and other offsite events.
  • Paid Time Off: Enjoy 30 days of vacation to fully disconnect, recharge, and return inspired.
  • Health & Wellbeing: Prioritize your health with access to hundreds of gyms, fitness studios, and wellness options through our EGYM Wellpass membership.

How you make an impact joining Apaleo: Joining Apaleo means more than just taking on a role it’s about driving real change in the hospitality industry. Your contributions will directly shape our innovative platform, influence company-wide decisions, and help redefine the future of hospitality tech. At Apaleo, your voice matters, your ideas are valued, and your impact is tangible. Be part of a team where your work fuels progress, collaboration sparks innovation, and growth is a shared journey.

We are proud to be an Equal Opportunity and Affirmative Action Employer, committed to fostering a diverse, inclusive, and welcoming workplace. We encourage applications from individuals of all backgrounds, regardless of race, color, religion, gender identity or expression, sex, national origin, age, marital status, disability, or any other characteristic protected by applicable law. Your personal data will be handled with the utmost care and in compliance with GDPR and relevant data protection regulations. We celebrate differences and believe that diversity enriches our team and drives innovation.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe role combines marketing operations, AI workflow design, API integration, analytics, and commercial measurement. It is a new function, so the successful candidate must define operating models while delivering measurable results.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$125,000
US market range (per year)$105k–$150k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. The annual cadence is inferred from the full-time professional role, and the figures are estimated annual USD market compensation for a GTM engineering and marketing-operations specialist in the US market.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you decide whether a marketing workflow should be agentic, deterministic, or human-led?

I would map the workflow inputs, decisions, risk level, and expected outputs. Stable, rules-based actions belong in deterministic automation; tasks requiring interpretation across changing context may benefit from agents; and high-impact brand, budget, or strategic decisions should retain human approval.

How would you connect HubSpot, Google Analytics, and LinkedIn data to measure pipeline contribution?

I would first define a shared campaign taxonomy and identity-resolution approach, then audit available identifiers, timestamps, and lifecycle stages. I would create governed data flows through APIs or a warehouse, validate attribution logic with stakeholders, and publish metrics that link channel activity to qualified demand, opportunities, and influenced pipeline.

Describe an AI-enabled marketing automation you would prioritize in your first months.

I would prioritize automated campaign-performance intelligence that consolidates channel data, detects material performance changes, summarizes likely drivers, and recommends next actions. It removes repetitive reporting work while keeping channel owners responsible for approving and executing meaningful changes.

How do you ensure that automated insights are reliable enough for commercial decisions?

I establish data-quality checks for completeness, freshness, duplicates, taxonomy compliance, and reconciliation with source systems. I also document assumptions, use confidence thresholds, monitor output quality, and include human review for recommendations that affect spend, targeting, or pipeline forecasts.

How would you work with channel owners who have different processes and data maturity?

I would start with discovery sessions to understand their objectives, recurring work, data sources, and pain points. Then I would deliver small, measurable improvements, document reusable patterns, and co-design workflows so owners can adapt them without relying on a central technical resource.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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