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Senior Customer Engineer — Deasy Labs
Отличная позиция в известной компании Collibra с фокусом на инновационный продукт Deasy Labs. Гибридный формат работы в Брюсселе и работа с передовыми технологиями ИИ делают вакансию очень привлекательной для опытных инженеров.
Сложность вакансии
Роль требует глубокой экспертизы в управлении данными (Data Governance) и опыта в pre-sales от 5 лет. Сложность заключается в необходимости совмещать технические навыки (ML, PaaS, базы данных) с навыками продаж и консалтинга.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Senior Customer Engineer в Брюсселе рыночный диапазон составляет от 80 000 до 115 000 евро в год плюс бонусы. Предложение Collibra обычно соответствует верхнему децилю рынка для привлечения талантов.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Customer Engineer position at Deasy Labs. With over five years of experience in technical pre-sales and a deep background in data management, I have consistently helped enterprise clients bridge the gap between complex technical capabilities and tangible business value. My expertise in data governance and cataloging aligns perfectly with Collibra’s mission to provide trusted data intelligence.
In my previous roles, I have successfully led technical discovery sessions and delivered proof-of-concepts that directly resulted in high-value contract wins. I am particularly excited about Deasy Labs' focus on unstructured data and semantic context, as I believe this is the next frontier for effective AI implementation. I am confident that my ability to translate customer requirements into robust solution architectures will make me a valuable asset to your hybrid team in Brussels.
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Описание вакансии
Senior Customer Engineer, Deasy Labs
As a Senior Customer Engineer at Deasy Labs, you will work directly with customers to design and demonstrate solutions using the Deasy Labs platform. You will partner with sales, product, and engineering teams to help organizations turn unstructured data into AI-ready knowledge.
In this role, you will lead technical discovery, deliver product demonstrations and proof-of-concepts, and guide customers in applying Deasy Labs to solve complex data and AI challenges.
This is a hybrid role based in our Brussels office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.
About Deasy Labs
Deasy Labs, part of Collibra, develops technology that automatically discovers, enriches, and maintains the semantic context inside unstructured data.
Enterprise knowledge often lives in documents, PDFs, reports, and transcripts that traditional data systems cannot easily organize or govern. The Deasy platform analyzes that content and generates structured metadata, taxonomies, and relationships that allow AI systems to retrieve the right information with accuracy and control.
Senior Customer Engineers at Deasy Labs are responsible for
- Partner with Account Executives to support the technical aspects of the sales cycle
- Lead technical discovery conversations with customers to understand their data, AI, and business challenges
- Design and deliver compelling technical demonstrations, workshops, and proof-of-concepts
- Translate customer requirements into solution architectures using the Deasy Labs platform and the broader Collibra ecosystem
- Guide customers in applying Deasy Labs to organize and enrich unstructured data for AI and analytics use cases
- Serve as a trusted technical advisor to customers throughout the evaluation and adoption process
- Collaborate with product and engineering teams to share customer feedback and influence product direction
You have
- 5+ years in a Customer Engineering, Solutions Engineering, or technical pre-sales role supporting enterprise software
- Familiarity with unstructured data, machine learning, or information retrieval technologies
- Broad knowledge of data governance, data catalog, data quality, and data privacy platforms required. Experience should include a broad range of disciplines including value-based selling, cost-benefit analysis and ROI analysis, process and project management.
- Broad experience as a Data Management practitioner in the areas of cataloging, integration, data quality, data or enterprise architecture, have set up or participated in governance boards.
- Experience with the leading PaaS providers, Data Lakes, Databases, and Integration platforms.
- A bachelor’s degree or equivalent related working experience
- This position is not eligible for visa sponsorship
You are
- An effective communicator who can explain complex technical concepts clearly to both technical and business audiences
- A sales- and customer-focused self-starter with curiosity, flexibility, and a strong sense of ownership
- A trusted partner to customers, helping them solve complex challenges through thoughtful technical solutions
- A collaborative team player who works effectively across sales, product, and engineering teams to drive outcomes
- Comfortable presenting and sharing expertise with highly skilled technical audiences
- Able to understand customer business needs and identify the technical solutions that support meaningful business outcomes
- Motivated by continuous learning and excited to deepen your understanding of both customer challenges and emerging technologies
- Willing to travel up to 30% within the region
Measures of success
- Within your first month, you will become familiar with Collibra and understand our customer landscape.
- Within your second month, you should confidently conduct discovery with customers and prospects, initial product demonstrations, and be able to present solutions aligned to customer value.
- Within your third month, you will become a voice for Collibra within your accounts and for your accounts back within Collibra - educating external and internal stakeholders on features, roadmap, and new use cases.
Benefits at Collibra
Collibra recognizes and values that everyone has different needs, interests, and life goals. We built our benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off. Learn more about Collibra’s benefits.
We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra.
At Collibra, we’re proud to be an equal opportunity employer. We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone.
With this, we proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form.
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Навыки
- Machine Learning
- Information Retrieval
- Data Governance
- Data Quality
- Pre-sales
- Solution Architecture
- Data Catalog
- PaaS
- Data Privacy
- Data Lake
Возможные вопросы на собеседовании
Проверка опыта работы с основным продуктом компании — неструктурированными данными.
Расскажите о самом сложном проекте, где вам приходилось работать с неструктурированными данными для целей ИИ или аналитики.
Оценка навыков выявления потребностей клиента, что критично для Customer Engineer.
Как вы проводите техническую сессию Discovery, чтобы убедиться, что решение Deasy Labs действительно решит бизнес-проблему клиента?
Проверка знаний в области управления данными, которая является ключевой для Collibra.
Какую роль, по вашему мнению, играет Data Governance в успешном внедрении LLM и генеративного ИИ на предприятии?
Оценка способности работать в связке с отделом продаж.
Опишите ситуацию, когда вам пришлось убеждать технического директора (CTO) клиента в ценности вашего решения при наличии сильной конкуренции.
Проверка навыка приоритизации и взаимодействия с продуктовой командой.
Как вы балансируете между удовлетворением специфических запросов клиента и долгосрочным планом развития продукта (roadmap)?
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