Business Development Manager

Math Co® (The Math Company ) is a global Enterprise AI and Analytics company trusted by Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, Math Co builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model.

NucliOS, Math Co’s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.

We foster an open, transparent, and collaborative culture with no barriers, making Math Co a great place to work. We provide exciting growth opportunities and value capability and ownership, enabling our Mathemagicians to truly Leave a Mark.

We are looking for a senior, consultative sales leader to drive new business growth and strategic client acquisition by positioning Math Co’s AI, analytics, and consulting capabilities as high-impact business solutions.

This is not a transactional sales role. The focus is on selling consulting as a service - engaging with senior stakeholders, shaping problem statements, and translating business needs into scalable analytics and AI-led solutions.

• Own new logo acquisition by building and converting a strategic pipeline of enterprise clients
• Engage with C-level and senior business stakeholders to understand priorities and position Math Co as a transformation partner
• Lead consultative sales cycles, from problem framing through solutioning to closure
  
  Work closely with internal consulting, data, and engineering teams to shape compelling, differentiated proposals
• Drive long-term client value, not just initial deal closure

• Build and execute a targeted go-to-market strategy to acquire new enterprise clients
• Lead consultative selling efforts, translating business challenges into AI, analytics, and data-driven solutions
• Own the end-to-end sales cycle, including opportunity identification, qualification, solutioning, proposal development, and deal closure
• Develop strong executive relationships across business and technology functions
• Partner with internal solutioning and delivery teams to craft high-quality, tailored proposals and POVs
• Identify and shape large, multi-phase consulting opportunities rather than one-off projects
• Drive pipeline discipline, forecasting, and revenue accountability
• Expand Math Co’s presence through strategic positioning, thought leadership, and market engagement
• Collaborate with Customer Success and delivery teams to ensure seamless transition and long-term account growth

• 8–10+ years of experience in consulting sales, enterprise sales, or business development within analytics, data, AI, or retail technology consulting
• Proven track record of selling consulting-led engagements (not just products or services)
• Strong ability to engage with C-suite and senior stakeholders and navigate complex enterprise environments
• Experience shaping and closing large, multi-million-dollar deals
• Deep understanding of data, analytics, AI, and digital transformation
• Ability to translate ambiguous business problems into structured solution approaches
• Strong executive presence, communication, and influencing skills
  
  Established network within target industries (Retail preferred, but flexible)
• MBA or equivalent preferred

• Consistently driving new logo acquisition and revenue growth
• Building a high-quality pipeline of strategic opportunities
• Positioning Math Co as a trusted consulting partner, not just a vendor
• Closing complex, consulting-led deals with long-term account potential

• Demonstrate ownership and accountability in driving outcomes
• Operate with a consulting mindset—problem-first, solution-oriented
• Champion diversity of thought and inclusive ways of working

• Leader in Top Generative AI Service Providers – PeMa Quadrant 2023 by AIM Research
• Recognized among the Inspiring Workplaces in North America (2023)
• Accredited for Inclusive Practices by Great Place to Work Institute, India
• Listed among India’s Best Workplaces™ for DEIB (2023)