Quantiphi - Senior Client Solutions Partner (9-12 yrs)

Role: Senior Client Solutions Partner Doc AI.

Experience Range: 9+ years.

Location: Mumbai/Bangalore (Hybrid).

Role & Responsibilities:

As part of the core sales and GTM team of Quantiphi, you will be responsible for execution of end-to-end sales processes in a B2B environment.

Your responsibilities will include:

- Prepare and deliver technical presentations explaining products or services to customers and prospective customers.

- Managing customer communication & relationships.

- Engage & drive end-to-end pre-sales activities for business development for the company in the Data Science & Applied AI domain.

- Ability to identify & prospect full range Proficient in developing business collaterals based on latest developments in AI to showcase the potential of ML & AI for the enterprise.

- Experience in handling or being hands-on for analytical/machine learning projects (Good to have).

- Work in conjunction with the Solution Architects & Data Science teams to gather, analyze and prospect business problems to be solved using large volumes of quantitative and qualitative data and develop of point of view to build a solution for the problems.

- Experience in leading a team.

- Applying the right analysis frameworks to develop creative solutions to complex business problems.

- Planning and executing both short-term and long-range projects and manage teamwork, and client expectations.

- Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions.

- Work with the team to identify and qualify business opportunities.

- Identify key customer technical objections and develop a strategy to resolve technical blockers.

- Work hands-on with customers to demonstrate and prototype Google Cloud product integrations in customer/partner environments and manage the technical relationship with Google's customers.

- Recommend integration strategies, enterprise architectures, platforms and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.

- This includes understanding, analyzing and prospecting complex business problems to be solved using Data solutions & AI Applications in a variety of industries including Healthcare, Media, BFSI, CPG, Retail, and many others.

- Travel to customer sites, conferences, and other related events as required.

Required Skills:

- You would be involved in the development of new business opportunities and value-added services which requires a high level of creativity, learning potential and deep quantitative subject matter expertise and therefore self-driven individuals willing to learn on the go would be preferred.

- Hands-on experience with AI-powered document processing tools and platforms such as Google Document AI, ABBYY FlexiCapture, Kofax, Automation Anywhere, UiPath Document Understanding, or equivalent solutions.

- Familiarity with model lifecycle management, retraining strategies, and performance optimization of pre-trained or custom AI-powered document processing models.

- Experience in deploying and scaling applications on cloud platforms like Google Cloud Platform (GCP), AWS, or Azure, with a focus on document-related services (e.g, GCP's Document AI, AWS Textract, or Azure Form Recognizer).

- Familiarity with regulatory standards and best practices for document processing in industries like healthcare, banking, logistics, or legal (e.g, HIPAA, GDPR, PCI DSS compliance).

- Knowledge of enterprise content management (ECM) and search platforms.

- Hands-on experience with robotic process automation (RPA) tools like UiPath or Automation Anywhere, integrated with document AI capabilities.

- Experience of B2B sales , customer communication and relationship management.

- Experience and knowledge of critical phases of the sales process which includes requirement gathering, sales planning, solution scoping, proposal writing and presentation.

- Knowledge and willingness to learn and apply emerging trends in business research, data science, Machine learning, Artificial Intelligence, and Cloud.