AI Outcome Engineer, Forward Deployed Engineering

On-site in Madrid·Added 4 days ago

Google

21 open roles

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Overview

Job details

€70,000 - €71,500 a year
Gross, as stated in the ad.
About €3,950 - €4,020 a month after tax, or €4,110 - €4,210 under the Beckham regime.
Blue Card threshold
Indicative — the ad doesn’t promise sponsorship.

Requirements

Work in English
English is required, per the ad.
Work on-site in Madrid
No relocation package mentioned.
Have 3+ years of experience
Mid-level role.
University degree
“Bachelor’s degree or equivalent practical experience.” — per the ad.

Pay & benefits

What you'll get

Spain: €70000 - €71500 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Requirements

What we're looking for

Bachelor’s degree or equivalent practical experience.
3 years of experience troubleshooting technical issues for internal/external partners or customers.
Experience in either system design or reading code (e.g., Java, C++, Python).

Nice to have

Experience interfacing directly with core product/engineering organizations regarding infrastructure or AI/ML model deployments, managing technical delivery strategies, and debugging systems.

The role

As an AI Outcome Customer Engineer (OCE) you will embed with our customers to drive the adoption of Google Cloud enterprise AI products, acting as a trusted advisor to customer stakeholders, partners, and internal product and engineering teams. You will develop, manage and execute the AI deployment plan, by providing technical leadership, applying your skills in Enterprise Architecture, consultative delivery, Applied Artificial Intelligence engineering, and AI solution engineering. You will have a direct impact on the velocity of customer adoption and business outcomes realised through the successful deployment of enterprise AI solutions and use cases.

You will blend delivery expertise, market and industry knowledge, technical implementation, and technical project leadership to realise the value of Google Cloud AI with our customers.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

What you'll do

Develop and orchestrate a structured, end-to-end deployment plan across customer, professional services, and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness.
Employ code development, debugging, or systems design to resolve technical blockers and accelerate customer time-to-value.
Drive and track progress of the initial and ongoing adoption of enterprise AI, accelerating customers from initial agreement to business outcomes as quickly as possible.
Identify and develop opportunities for new enterprise AI use cases during project execution.
Drive sustainable product usage to help customers realize ongoing business value.

Hiring process

4 steps3 interviewsa task to do6–8 weeks in all

Apply online
Assessments
Online test · Not every role
You may be asked to take the Google Hiring Assessment (workstyle skills) and, for some roles, role-related assessments such as a coding exercise.
Recruiter conversations
With a recruiter · Phone call · 1–2 sessions
One or two shorter conversations assessing key skills, sharing information about the organisation and team, and asking about your preferences such as location.
Project work
In your own time · Not every role
For some roles, a small project before interviews: a case study, writing or code samples.
Interviews
With a rotating cast of Googlers
A panel of structured interviews, over video or in person, with a rotating cast of Googlers; open-ended role-related questions scored against the same rubric for every candidate, no brainteasers.
Decision and offer · With a recruiter

Structured interviews: every candidate for a role is scored against the same rubric; no brainteasers.
AI tools are not permitted during interviews.
For some roles, pre-selected interviews happen virtually before final interviews onsite.

About Google

Google is a multinational technology company that specializes in internet-related services and products, including search, cloud computing, advertising technologies, and artificial intelligence. As one of the world's largest and most influential tech firms, Google operates at a massive scale, serving billions of users globally and employing over 180,000 people worldwide.

In Spain, Google has a significant presence with offices in Madrid and Barcelona, hosting teams across engineering, cloud consulting, sales, and security. The company is known for its strong engineering culture, data-driven decision making, and a work environment that values innovation and collaboration. For international professionals, Google offers a highly multicultural environment, English as a common working language, and competitive compensation packages, making it a highly attractive destination for relocating to Spain.

Industry: Technology
Founded: 1998
Employees: 100,000+
Headquarters: Mountain View, USA
In Spain: Madrid, Barcelona
Website: google.com

Good to know if you are moving

Google's Spanish offices are primarily in Madrid and Barcelona, with roles spanning engineering, cloud consulting, sales, and security.
English is the working language at Google, so international hires can integrate without needing Spanish fluency upfront.
Google offers relocation support and visa sponsorship for international candidates in many regions, including Spain.
The company is known for high compensation, strong benefits, and a culture that emphasizes innovation and work-life balance.
Google Cloud and AI/ML teams in Spain are actively growing, creating opportunities for engineers and technical consultants.

All open roles at Google