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Sand Technologies

Enterprise AI solutions, automation and analytics

Technical Sales Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of experience in presales, solution engineering, or technical consulting, driving enterprise AI, data, or digital transformation projects.
  • A proven telecommunications industry background, including exposure to RAN planning, tools used, and current market conditions.
  • Strong understanding of cloud platforms such as AWS and Azure, modern data architectures including data lakes and warehouses, ETL/ELT, streaming, APIs, and tools such as Replit and Miro or similar.
  • Ability to translate complex technical solutions into clear business outcomes for C-suite audiences.
  • An agile, problem-solving mindset and comfort navigating ambiguity across multiple industry verticals.
  • A Bachelor's or Master's degree in Computer Science, Engineering, or Data Science.
  • Ability to work on-site in Delhi, India or Lagos, Nigeria.
  • Comfort operating in small teams and contributing to larger, globally coordinated efforts; ownership, self-motivation, discipline, and clear communication through virtual collaboration tools and video conferencing.

Responsibilities

  • Develop long-term relationships with technical, operational, and C-level stakeholders across key accounts.
  • Partner with Account Leads to uncover new use cases, align with customer strategic goals, and expand SAND’s footprint.
  • Act as a strategic advisor in customer workshops, executive briefings, and industry events.
  • Conduct customer discovery and workshops to design tailored AI, data analytics, and digital twin solutions.
  • Create and present live, customized demonstrations of Sand products and prototype capabilities for technical and executive audiences.
  • Design and/or guide high-impact proof-of-concepts in telecommunications, industrial, and energy environments, ensuring alignment with customer KPIs.
  • Collaborate with Sales and Delivery teams to draft technical architectures, proposals, and responses for RFPs and tenders.
  • Apply learnings across Healthcare, Water, Telecom, and Energy to build reusable accelerators and best practices.
  • Support existing clients with solution optimization, data architecture guidance, and adoption of new capabilities.
  • Stay current on trends in AI infrastructure, IoT, telemetry, cloud platforms including AWS, Azure, and GCP, and cybersecurity to guide clients strategically.

Desired Qualifications

  • Experience prototyping and building in Replit, Miro, or similar tools is highly desirable.
  • AWS or Azure Solution Architect certifications and Databricks experience are strong pluses.

About the Company

Sand Technologies

Enterprise AI solutions, automation and analytics

Sand Technologies provides AI solutions for enterprises and industries, using advanced data science to help clients automate processes, generate predictive insights, and build custom models. Its products are tailored AI applications that combine automation, predictive analytics, and specialized modeling to meet each client’s needs. The company serves large corporations and niche sectors worldwide, differentiating itself through customized, scalable AI deployments rather than one-size-fits-all products, and by building long-term partnerships. The goal is to help clients solve complex challenges, improve efficiency, and drive innovation by adopting scalable AI solutions under project-based, subscription, and long-term service contracts.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2023

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