Key Facts

Remote From:

Estonia

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Communication
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Teamwork
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Presentations

Roles & Responsibilities

Deep understanding of Google Cloud with hands-on experience and a valid Google Cloud Professional Certification.
Proven experience in data engineering and analytics on Google Cloud (GCS, BigQuery, Dataflow, Airflow).
Experience with Generative AI technologies (Vertex AI, LLMs) and the ADK for practical AI deployments.
Strong background in DevOps and cloud security, plus excellent customer-facing communication and presentation skills.

Requirements:

Lead presales strategy by driving technical discovery calls and architectural design sessions with C-level executives and technical leads.
Design and implement data-first architectures including data pipelines, data warehouses, and analytics solutions to support enterprise AI.
Spearhead GenAI innovation, deploying AI solutions, helping customers adopt LLMs, and developing agents for real-world use cases.
Oversee end-to-end project delivery, ensuring alignment with professional services (PSF/DAF) standards and multidisciplinary team collaboration.

Commit

About Commit

Commit is a global tech services company with offices in New York, Israel, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Software, IoT, Big Data, Cloud, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.

Company type: SME

Founded: 2018

Company size: 501 - 1000

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Job description

Description

We are a premier cloud technology powerhouse and have been recognized as the Google Cloud Partner of the Year in 2024 and 2025. Our engineering team is not just cloud-native; we are AI-driven. We leverage cutting-edge AI tools in every aspect of our day-to-day work to maximize efficiency and innovation. We don't just sell technology; we live it. The Role We are looking for a strategic Customer Engineer to lead our most complex engagements. This is a multidisciplinary role where you will act as the main technical focal point for our clients and enhance our delivery team. You will lead presale calls, define technical scope, build internal tools/solutions, work hands-on in complex tasks, and manage the delivery of strategic projects while working closely with our specially strong customer engineer team. While you will touch on various aspects of Google Cloud, your primary technical focus will be Data, with a strong secondary focus on Generative AI. To succeed, you must consolidate this with a solid background in DevOps and Security, ensuring the solutions we design are not only smart but scalable and secure.

Key Responsibilities
Lead Presales & Strategy: Drive technical discovery calls and architectural design sessions with C-level executives and technical leads
Data-First Architecture: Design and implement robust data pipelines, data warehouses and analytics solutions that serve as the backbone for enterprise AI.
GenAI Innovation: Spearhead the deployment of AI solutions helping customers adopt Large Language Models (LLMs) and developing agents for real-world use cases.
End-to-End Project Delivery: Oversee technical kickoffs and project execution, ensuring alignment with professional services (PSF/DAF) standards.
Multidisciplinary Execution: You will work as part of a team of highly capable engineers who, despite focusing on specific areas (for example: Data & AI), work across different disciplines as needed.
AI-Driven Workflow: Utilize AI tools daily to accelerate tasks, from drafting SOWs to optimizing code and generating documentation.

Requirements

Google Cloud Expertise: Deep understanding of Google Cloud
Certification: A valid Google Cloud Professional Certification is a strict requirement.
Technical Stack: Data Engineering & Analytics (GCS, BigQuery, Dataflow, Airflow, etc)
Secondary: Generative AI (Vertex AI, LLM models, ADK).
Foundation: Strong background in DevOps and Cloud Security.
Soft Skills: Excellent customer-facing communication and presentation skills are a must. You must be comfortable leading conversations and working closely with other customer engineers.