About Humyn Labs

At Humyn Labs, we believe the best AI is built on the best human judgment. We operate a global network of 1M+ verified experts who deliver high-quality, multimodal training datasets across domains — backed by reputation verification and multi-layer quality control.

Our data isn't just collected; it's evaluated, defended, and production-ready. Because before AI can be trusted, its training data must be.

Our work sits at the intersection of egocentric video understanding, embodied AI, robotics perception, and voice-driven interaction. We move fast, obsess over data quality, and ship at scale.

Role Overview

We are looking for a Business Development Manager to drive growth and partnerships in the India market. You will be responsible for identifying, engaging, and closing enterprise clients — particularly large IT services companies, global capability centers (GCCs), and technology organizations.

Your focus will be on selling data annotation services, voice data collection, audio transcription, dataset creation, and AI training data solutions. This is a hunter role for someone who understands the AI/ML data services landscape and has existing relationships within India's enterprise technology ecosystem.

What You Will Do

Sales & Revenue Generation

• Own and exceed quarterly revenue targets for data annotation and voice data projects in the India market
• Build and manage a robust sales pipeline from prospecting through contract closure
• Identify and qualify opportunities within enterprise IT services companies, BPOs, GCCs, and technology organizations requiring data annotation, voice data collection, transcription services, and AI training datasets
• Lead commercial negotiations, pricing discussions, and contract terms with procurement and project stakeholders
• Develop account strategies for key enterprise clients to drive recurring revenue and expand wallet share

Relationship Building & Account Management

• Leverage existing relationships within large IT services firms, global technology companies, and enterprise organizations
• Build strong relationships with decision-makers in AI/ML teams, project managers, procurement heads, and technology leaders
• Conduct discovery meetings to understand client requirements for annotation projects (image, video, audio, text, LiDAR), voice data collection, transcription services, and custom dataset creation
• Act as a trusted advisor, understanding client pain points and positioning tailored solutions

Market Intelligence & Strategy

• Stay informed on industry trends in AI/ML, data annotation, voice technology, LLM training data, and speech recognition markets
• Track competitor activity, pricing models, and market positioning
• Provide feedback to internal teams on market demands, client preferences, and product/service enhancement opportunities
• Identify new verticals and use cases for data annotation and voice data services (automotive, healthcare, finance, e-commerce, conversational AI, etc.)

Collaboration & Execution

• Work closely with delivery teams to ensure smooth project onboarding and client satisfaction
• Coordinate with operations and annotation teams to scope projects accurately and deliver on commitments
• Partner with marketing to develop case studies, proposals, and collateral tailored to the India enterprise market
• Provide accurate sales forecasting and pipeline reporting to leadership

You Must Have

Self-starter — comfortable working independently, managing your own pipeline, and driving results with minimal supervision.

Strong Plus

• Prior experience working in or selling to large IT services companies, global technology firms, or enterprise BPOs.
• Experience selling annotation services for computer vision, NLP, speech recognition, or autonomous vehicle projects.
• Familiarity with annotation tools (Labelbox, Scale AI, V7, SuperAnnotate) and data labeling workflows.
• Understanding of voice data collection for ASR (Automatic Speech Recognition), TTS (Text-to-Speech), or conversational AI applications.
• Previous experience in a startup or high-growth environment.
• MBA or equivalent advanced degree.
• Knowledge of additional Indian regional languages.