
Sales Engineer
2 weeks ago
3 days ago Be among the first 25 applicants
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If you're ready to embark on an exciting career journey with ample opportunities for growth and development, we invite you to join us at Asiatel Outsourcing . Take the next step in your career and become a valued member of our rapidly expanding company. Apply now and seize this extraordinary opportunity
Job Responsibilities- Collaborate with Account Executives to understand customer needs and deliver tailored SaaS product demonstrations.
- Own the technical aspects of the sales cycle, including solution design, security reviews, integration discussions, and cloud architecture alignment.
- Lead Proof-of-Concept (PoC) and pilot implementations to showcase product capabilities in real-world enterprise environments.
- Serve as a trusted technical advisor to prospects, addressing questions around architecture, APIs, SaaS scalability, and data security.
- Provide customer feedback to product and engineering teams to help guide roadmap decisions.
- Create and maintain reusable sales assets such as demo environments, solution diagrams, and technical FAQs.
- Occasionally support RFP/RFI responses with technical input.
- Contribute to the development of best practices, templates, and tools to streamline the implementation and delivery process.
- Maintain strong, ongoing relationships with clients to ensure continued satisfaction and identify opportunities for additional value or upsell.
- Demonstrate the company’s AI-powered solutions and articulate how AI (LLMs, vLMs, and automation technologies) solve real-world business challenges.
- Educate prospects on AI use cases, benefits, and adoption strategies, tailoring presentations to both technical and non-technical audiences.
- Proven experience in a Pre-Sales, Solutions Engineering, Sales Engineering, or related technical customer-facing role, ideally in a SaaS or early-stage product company.
- Strong understanding of on-premise and cloud technologies (e.g., AWS, Azure, GCP), APIs, and web applications.
- Exposure to SaaS platforms, cloud-native solutions, and enterprise IT environments.
- Excellent communication and presentation skills, with the ability to tailor messages to both technical and business audiences.
- Ability to work independently in a fast-paced, ambiguous environment and manage multiple priorities.
- Exposure to or strong interest in AI/ML technologies, with the ability to explain concepts such as LLMs, OCR, and workflow automation in a business context.
- SaaS and cloud expertise (AWS, Azure, GCP) combined with familiarity in integrating AI-driven solutions.
- Mid-Senior level
- Full-time
- Sales and Business Development
- Outsourcing and Offshoring Consulting
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