Pre-sales Engineer

• Interact regularly with consultants and customers to understand needs and propose system-based solutions
• Specify Trane products and solutions and create market demand
• Provide techno-commercial support during planning and drawing stages until tender rollout
• Arrange technical presentations and seminars for customers and consultants
• Work with Business Development to develop custom solutions across multiple verticals
• Compile, update, and share competition information and create databases
• Develop existing big-ticket customer relationships and explore future potential
• Perform lifecycle analysis and TCPA for systems and configurations
• Update consultants and clients on Trane developments and value-added offerings
• Work with the government segment to increase brand awareness and position Trane products
• Establish credibility as a product specialist among HVAC and project management consultants
• Support system configuration, ROI, and efficiency analysis to influence early project specifications
• Work with PM Teams on product gaps and voice-of-customer market intelligence
• Work with key contractors on airside opportunities

Assistant Manager, Airside Pre Sales

• Serve as a senior trusted advisor to CIO, CTO, CDO, CRO, business, product, and technology stakeholders
• Lead Data & AI discovery and translate ambiguous business problems into measurable, production-ready solutions
• Design end-to-end architectures spanning data platforms, analytics, machine learning, GenAI, applications, APIs, governance, and integrations
• Lead and challenge advanced forecasting and predictive-modeling approaches
• Define business and model success measures, including R², WAPE, MAPE, statistical significance, and business-impact KPIs
• Ensure point-in-time correctness, prevent data leakage, and maintain rigorous model-development and validation practices
• Provide hands-on technical leadership using Python, SQL, Snowflake, notebooks, Git, and modern Data/AI platforms
• Shape AI use cases across forecasting, sponsorship sales, lead scoring, next-best-action, revenue intelligence, personalization, subscription growth, and commercial optimization
• Evaluate whether classical analytics/ML, GenAI, or agentic AI is the appropriate solution
• Lead architecture and solution-design workshops and present recommendations to senior and executive audiences
• Support proposals, SOWs, RFI/RFP responses, estimates, staffing models, and technical solution shaping
• Lead and mentor multidisciplinary teams across Data Science, Data Engineering, AI Engineering, Software Engineering, and Architecture
• Participate in client stand-ups, backlog refinement, executive readouts, and strategic planning
• Teach and transfer knowledge to client teams; ensure documentation, reproducibility, and handover
• Challenge client requests when the proposed approach does not solve the underlying business problem
• Participate in internal and external meetings via video calls, as necessary

Pre-sales Engineer jobs in India

Assistant Manager, Airside Pre Sales

Senior Data Architect – Pre-sales, Solutions