Customer Success Engineer - GSI Partnerships India

Inspeq AI is looking for a technically skilled and client-focused Customer Success Engineer to support our Global System Integrator (GSI) partners in both the pre-sales and post-sales cycles. As an essential member of our Customer Success team, you will guide partners through the deployment and implementation of our AI Operations Platform, ensuring smooth go-lives and high client satisfaction (CSAT) across multiple engagements at the same time . Your deep knowledge of AI use cases, particularly in financial services, and your expertise with Co-pilot and Agentic AI will be vital for driving successful outcomes. Additionally, you should have strong technical proficiency in server-side languages and frameworks (Python, Java, Node.js) and database management (SQL, NoSQL) to provide hands-on support for complex implementations. We love people! We build relationships with learning champions and executives. We can’t wait to get onsite with customers. Internally, our team is close and loves to collaborate. As a startup we are seeking multi skilled and dynamic colleagues who thrive on new challenges. We use our consultative mindset to help our customers plan their expansion strategy, deploy new programs, and measure success. In this role, we are also looking to increase our value in each account by expanding our license base significantly

• Pre-Sales Partner Support: Collaborate with the sales team and new GSI partners during the pre-sales phase to evaluate technical requirements, demonstrate product capabilities, and identify key AI use cases in financial services,CPG and Telecoms..

• Post-Sales Implementation & Deployment: Lead the technical implementation of our AI Operations Platform with GSI partners and their end clients, ensuring smooth and timely deployments and guiding partners through best practices, working with IT teams in customers and partners.

• AI Use Case Guidance: Provide expertise on Co-pilot and Agentic AI applications relevant to financial services, helping partners and end clients define and develop use cases that deliver business value.

• Technical Enablement: Conduct technical workshops and hands-on training sessions to empower GSI partners to manage deployments, configurations, and ongoing support for their end clients.

• Troubleshooting & Support: Act as the primary technical point of contact for GSI partners, resolving issues efficiently, providing troubleshooting support, and collaborating with internal engineering teams when needed.

• Client Go-Live Success: Ensure end clients’ smooth transitions to production environments, with a focus on achieving key milestones and delivering measurable value quickly.

• Customer Satisfaction (CSAT): Proactively address challenges and provide solutions that optimize the client experience, driving high CSAT scores through responsiveness and attention to partner and client needs.

1. Go-Live Success Rate: Percentage of successful go-live implementations within targeted timeframes and budget, achieving established deployment milestones.

2. Customer Satisfaction (CSAT) Scores: Average CSAT score across managed accounts and partner implementations.

3. Time to Value (TTV): Average time taken for clients to achieve initial value realization after go-live.

4. Technical Issue Resolution Time: Average time taken to resolve technical issues raised during deployments or production stages.

5. Training & Enablement Success: Number of technical training sessions completed with GSI partners and end clients, and feedback on training effectiveness.

6. Expansion of AI Use Cases: Number of additional AI use cases identified, developed, and deployed with partners and end clients, new features added to roadmap from their feedback.

7. Partner Engagement: Level of technical engagement with GSI partners during and post-deployment, as measured by activity frequency and feedback.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

• 3 years plus of experience in supporting enterprise software solutions in B2B business

• Proven experience in customer success, solutions engineering, or similar roles within enterprise B2B SaaS, especially in the financial services sector.

• Strong understanding of AI operations, with specific experience in Co-pilot and Agentic AI solutions.

• Proficiency in server-side languages and frameworks (Python, Java, Node.js, Docker and Kubernetes, devops skills like Jira ) and database management (SQL, NoSQL).

• Excellent communication skills, with the ability to present complex technical information to both technical and non-technical audiences.

• A collaborative, problem-solving mindset, with a client-centric approach and commitment to driving client success and satisfaction.

Compensation model

• Base salary 75%

• Variable compensation 25%, paid quarterly based on OKR performance and CSAT from customer go live successes

Closing Date: Friday the 28th March 2025