Sales Manager - Southeast Asia

We are hiring for our client, the big player and leader in the artificial intelligence (annotation) sector. You will be informed about the client once you get shortlisted.

The client is a global leader in providing high-quality training data and data-platform solutions that power enterprise AI — from text/audio labeling to large-scale image/video annotation and LLM customization. The client combines a scalable platform and managed services to deliver trusted datasets for leading AI programs and enterprise customers.

On behalf of them, we are looking for a results-driven Sales / Business Development to grow enterprise partnerships for our AI data services (data annotation, data collection, content moderation, etc.).

1. Develop and identify the client's business needs for AI data services, and establish commercial relationships. Prospect, qualify, and manage inbound and outbound leads; build a strong, predictable sales funnel to achieve revenue targets and sales KPIs.

2. Run consultative sales cycles with clients, translating technical requirements into commercial proposals (LLM projects, data platform subscriptions, managed annotation engagements).

3. Partner with Solutions, Customer Success, Product, and Legal to create replicable offer packs and pricing for local markets. Work closely with the project team to ensure smooth delivery.

4. Actively participate in industry events or exhibitions and client workshops; gather market intelligence and competitor activity.

1. AI B2B sales experiences and sales/BD leadership (managing teams and P&L responsibility) would be a big plus.

2. Proven track record selling complex AI data services or data solutions to large enterprises.

3. Strong located country network Experience closing multi-million-dollar deals and structuring long-term commercial relationships.

4. Excellent business English.

5. Willingness to take business trips.

1. Direct experience selling data annotation, ML training data, or LLM customization services.

2. Exposure to procurement cycles at hyperscalers or large enterprises.