Sales Development Representative, AI & LLM

About the role

This role generates and qualifies outbound demand for the AI & LLM business in Greater China. The position reports to the Director of Sales Development and operates from the Singapore office.

Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.

Key facts

What you'll do

Outbound prospecting identifies and qualifies accounts for the AI & LLM segment in Greater China using cold calling, email, voicemails, and social media.

Research and prospecting tools qualify target personas and create qualified meetings for the AI & LLM business in Greater China.

Weekly collaboration with team members refines outreach sequences and messaging for the AI & LLM segment in Greater China.

Industry and market trend monitoring builds expertise in the AI and LLM sectors you support.

Weekly training participation develops SDR skills and improves sales performance over time.

Requirements

A Bachelor's degree is required.

Bilingual fluency in English and Mandarin is required to engage clients in the Greater China market for AI & LLM business.

Prior business development experience in outbound or inbound roles with relevant buyer personas in AI and LLM contexts.

Familiarity with AI and LLM products and technical knowledge in this domain.

Nice to have

Prior SDR experience in high-tech, data, or analytics environments.

Experience selling into enterprise technology or data intelligence customers.

Skills & tools

Proficiency with CRM, outreach platforms, and data enrichment tools.

Clear verbal and written communication skills.

Comfort using advanced technology in daily workflows.

Practical notes

This role is based in Singapore and requires 3 days onsite per week.

Employment visas are not sponsored for this position.

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

The role focuses on digital intelligence and market data products.

Technology and data-driven outreach form core workflows in this position.

Career paths include progression into full-cycle sales roles such as Account Manager or Sales Manager.

Training and coaching are ongoing components of the role.

The company emphasizes data-backed decision making and collaborative team cultures.

Questions to ask

Good questions to ask the employer in the interview: what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received. Employers expect questions, and good ones show preparation.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.