Senior Client Solutions Partner

3 days ago


Bengaluru, Karnataka, India Quantiphi Full time

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.


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