Customer Success Manger; MaaS Service & Model Optimization

Overview

WHO WE ARE:

Beyondsoft is a leading mid‑sized business IT and consulting company that combines modern technologies and proven methodologies to tailor solutions that move your business forward. Our global head office is based in Singapore, and our team is made up of a diversely talented team of experts who thrive on innovation and pushing the bounds of technology to solve our customers’ most pressing challenges.

When it comes time to deliver, we set our sights on that sweet spot where brilliance, emerging technologies, best practices, and accountability converge. We have a global presence spanning four continents (North America, South America, Europe, and Asia). Our global network of talent and customer‑centric engagement model enables us to provide top‑quality services on an unprecedented scale.

WHAT WE’RE ABOUT:

We believe that collaboration, transparency, and accountability are the values that guide our business, our delivery, and our brand. Everyone has something to bring to the table, and we believe in working together with our peers and clients to leverage the best of one another in everything we do. When we proactively collaborate, business decisions become easier, innovation is greater, and outcomes are better.

Our ability to achieve our mission and live out our values depends upon a diverse, equitable, and inclusive culture. So, we strive to foster a workplace where people have the respect, support, and voice they deserve, where innovative ideas flourish, and where people can unleash their brilliance. For more information about DEI at Beyondsoft, please go to

POSITION SUMMARY:

We are seeking a technical expert with deep understanding and practical experience in the Model as a Service (MaaS) field for the Saudi Riyadh project. You will be on‑site as the bridge connecting customer business needs with LLM capabilities. Your key responsibility is to understand how customers use models, diagnose performance in specific scenarios, and collaborate with internal teams for targeted optimization to achieve the best balance of effect and cost, while utilizing language skills to optimize Arabic‑related model tasks.

WHAT YOU WILL BE DOING:

• Analyze LLM performance in inference, generation, and moderation, and replicate customer‑reported bad cases.
• Provide optimization suggestions like Prompt Engineering and Fine tuning; collaborate with internal teams on model tuning, especially for Arabic processing.
• Provide professional technical support on MaaS platform usage, model selection, API calling, and cost optimization.
• Monitor key performance indicators (such as TPM, TTFT, success rate) and provide cost‑effective model combination strategies.
• Utilize language advantages to accurately understand customer needs in Arabic scenarios, ensuring lossless communication.

MINIMUM QUALIFICATIONS:

• LLM‑related project experience (such as model evaluation, development, optimization, or technical support); experience in MaaS platforms or large AI companies is preferred.
• Deep understanding of underlying LLM logic (Transformer, Tokenization, inference processes); experience in Prompt Engineering; familiar with model evaluation metrics and knowing deep learning on mainstream frameworks (Tensor Flow, PyTorch).
• Native Mandarin and Arabic speaker level, used for highly efficient internal team collaboration.
• Fluent in spoken and written English, capable of participating in technical communication and reading/writing technical documents.
• On‑site resident support at customer site; short‑term business travel may be required.
• Able to accept 7x24 on‑call schedules, responding quickly to urgent customer needs.
• Respect and understand local Saudi laws, regulations, business culture, and social customs.
• Possess a high awareness of data security and privacy protection, strictly complying with company and customer data regulations.

Beyondsoft provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type with regards to race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, and the full employee lifecycle up through and including termination.