Why This Job is Featured on The SaaS Jobs
This Senior Solution Engineer role stands out in the SaaS ecosystem because it sits at the intersection of enterprise selling and deeply technical product adoption. Snowflake operates in cloud data infrastructure, where evaluations often involve multiple stakeholders and rigorous proof of value. The focus on the South African market from a Dubai hub also signals a regionally oriented go to market motion, where solution engineering can materially shape how a platform is positioned and implemented across varied customer environments.
For a SaaS career, this kind of position builds durable strengths in technical pre sales: translating platform capabilities into business outcomes, guiding proofs of concept, and navigating complex buying processes. The remit also includes staying current on adjacent technologies and competitive alternatives, a common requirement in modern SaaS categories where differentiation depends on both architecture and use case clarity. Collaboration with product and marketing further reinforces a systems view of how SaaS offerings are packaged and improved.
This role is best suited to professionals who enjoy switching between executive level narratives and hands on technical work. It fits someone comfortable owning deal support end to end, from discovery through demo and design discussions, and who values structured sales methodologies alongside technical credibility.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Senior Solution Engineer: Accelerate the AI Data Cloud
We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the accounts sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about driving the AI Data Cloud adoption, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences and bridging the gap between audiences when needed.
YOUR IMPACT (IN THIS ROLE YOU WILL GET TO):
Present Snowflake technology and vision, focusing on the AI Data Cloud and its capabilities, to executives and technical contributors at prospects and customers.
Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
YOUR CREDENTIALS (ON DAY ONE, WE WILL EXPECT YOU TO HAVE):
5-10+ years of industry pre-sales experience.
Outstanding presenting skills and executive presence to engage technical, business and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
Strong understanding and practical experience with value-based selling and sales methodologies / frameworks (e.g., MEDDPIC/MEDDIC) to drive complex deals.
Broad range of experience within Data platforms, analytics, and cloud technologies, including deep knowledge of data warehousing, data lakes, and lake house architectures.
Proven ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises.
Familiarity with core data concepts such as data modeling, data governance, and data engineering best practices.
Deep hands-on expertise with Python and SQL.
University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
Experience in the UAE market with preference already being based there.
Arabic fluency is highly desirable / nice to have.
OUR VALUES. OUR CULTURE.
We are customer-obsessed. We lead with integrity and honesty. We believe in being great teammates, embracing feedback, and embodying the Snowflake values in every interaction. We work to ensure data is accessible, usable, and valuable to everyone.
If this sounds like the high-stakes, high-reward role you were made for, seize the moment. Apply now and join us in building the AI Data Cloud for the region!
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
