Who is Sertis?
Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customized solutions for our clients ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them.
Our aim is to be one of the leading Data and AI companies globally, where a diverse mix of talent want to come, stay, and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership.
For more information, please visit: https://www.sertiscorp.com/
Our Technical Architect - Presales bridges the gap between commercial and technical teams to drive successful project initiation. This role provides critical support during the presales process, offering expert technical insights and strategic guidance to ensure alignment between client needs and our technical capabilities. It requires a strong blend of technical acumen, client-facing communication skills, and a consultative approach to ensure solutions are both innovative and achievable.
You'll be successful if you have:
It's a plus if you have:
This is your chance to build your career in a growing data-driven and AI industry.
APPLY NOW!
Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice
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"We enable our clients to achieve their goals by helping them structure, analyse and unleash the power of big data. "
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