AI Sales Manager

About the job Company Description Blue Machines is a leading enterprise-grade Voice AI platform designed for speed, reliability, compliance, and scalability in the era of Agentic AI. The company serves a range of industries, including lending, healthcare, insurance, recruitment, and edtech, with one of the fastest global enterprise AI deployment rates. Blue Machines enables businesses to implement Voice AI systems that transition from concept to production in less than a week, delivering multilingual capabilities and real-time performance with sub-300ms latency. With a focus on privacy, compliance, and security, Blue Machines redefines how organizations communicate, make decisions, and serve customers. The platform is supported by dedicated Forward-Deployed Engineers to ensure seamless integration and implementation success.

Role Description This is a full-time, on-site role for a Sales Manager at Blue Machines, located in Chennai, India. The Sales Manager will be responsible for developing and executing strategic sales plans to achieve revenue targets. Responsibilities include building and maintaining strong client relationships, identifying new business opportunities, managing the end-to-end sales cycle, and collaborating with cross-functional teams to support customer success. The role also involves analyzing market trends, preparing sales reports, and offering insights to improve sales strategies.

• 8-14 years experience in Sales Management, Business Development, and Account Management
• Strong negotiation, relationship-building, and communication skills
• Excellent understanding of market analysis, sales reporting, and forecasting tools
• Should have managed BFSI segment and customer like TVS Credit, Cholamandalam, Star health,
• Ability to work in a fast-paced environment and adapt to changing business needs
• Experience in the technology, AI, or software industry is highly desirable
• Bachelor's degree in Business Administration, Marketing, or a related field; a Master?s degree is a plus
• Strong organizational and analytical skills with attention to detail