Manager - Solution Engineering Inception Institute of Artificial Intelligence  

Responsibilities:

Pre-Sales Solution Engineering

• Lead technical discovery sessions with clients to identify goals, challenges, and technology environments.
• Lead envisioning sessions with customers to integrate AI into business processes, improve efficiency, and drive AI-first transformation
• Design tailored, scalable solution architectures that align Inception s capabilities with customer needs.
• Translate complex AI features into simple, compelling solution narratives for commercial use cases.
• Support RFP responses, client workshops, and proofs-of-concept with clear architectural guidance.

Customer Engagement

• Act as a trusted technical advisor for strategic customer engagements, ensuring alignment from pre-sales to delivery.
• Collaborate closely with commercial and business development teams to build client confidence in proposed solutions.
• Deliver high-impact solution presentations, demos, and technical briefings to stakeholders and decision-makers.

Cross-Functional Collaboration

• Work with sales, product managers and engineering leads to influence roadmaps based on real-world customer needs.
• Coordinate with applied science teams to validate feasibility, performance, and scalability of proposed AI solutions.
• Ensure smooth knowledge transfer from pre-sales engineering to delivery teams during project kickoffs.

Solution Engineering Methodology

• Map customers use cases with the product and identify gaps in product w.r.t customer requirements.
• Develop reusable templates, design patterns, and best practices to standardize and scale the solutioning process.
• Contribute to establishing KPIs that measure pre-sales success, such as win rate and deal velocity.