Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Machine Learning @ 3
Project Management @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Responsibilities
- 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
Requirements
- 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; experience should include value-based selling, cost-benefit and ROI analysis, process and project management
- Broad experience as a Data Management practitioner in cataloging, integration, data quality, data or enterprise architecture, and participation in governance boards
- Experience with 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, deliver initial product demonstrations, and 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
Compensation
The standard base salary range for this position is $152,000 - $190,000 USD per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.
In addition to base salary, the company offers a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.
Benefits
Collibra offers a flexible benefits program including health coverage and time off. Learn more about Collibra’s benefits and diversity, equity, and inclusion information at the links provided in the original posting.