Manager - Pre Sales
Location: Bangalore
Years of Experience: 5+ years in marketing, Risk & Collection Analytics
Reports to: VP-Pre-Sales
About Company
Company is an Enterprise AI software company for Financial Services. Our next generation AI platform *.ai automates the entire life cycle of data science and machine learning and helps organizations to rapidly develop, deploy, manage, govern and operationalize AI applications at scale ethically & responsibly. Our flagship product ‘iTuring” is designed to develop highly accurate, trusted & explainable models and deploy advanced machine learning/deep learning models in production with just a few clicks with real time scoring and monitor success & failure of models. It is a zero-code platform which is designed in such a way that anyone can use it to accelerate their AI journey and enable AI based solution in a matter of few hours rather than waiting for months and weeks. Our AutoAI platform augments the capability of data science team manifold, empowering them to be faster, consistent, accurate and focus on solving business problems rather than coding.
Headquarters: Bangalore, India with offices in USA and South Africa. The focus of this role will be to support the team in South Africa, but may also be required to support other teams depending on operational requirements.
Job Role & Responsibilities
- Solution Design & Strategy:
- Lead the design, development, and delivery of complex pre-sales data science and machine learning solutions.
- Collaborate with sales executives to identify opportunities, qualify leads, and craft value-driven proposals.
- Engage with prospective clients to understand their strategic business needs and identify how data science and ML can solve their challenges.
- Create and deliver high-impact, customized presentations, demonstrations, and proposals showcasing our Automated AI and ML capabilities.
- Provide subject matter expertise on AI, ML, big data analytics, and related technologies.
- Lead product demonstrations, align CI to the vision of the customers’ goals, lead the Proof of Value process, and quantify the business impact of CI.
- Leadership & Team Management:
- Lead and mentor a team of Pre-Sales professionals, providing guidance on best practices for solution development, client interactions, and overall sales strategy.
- Collaborate with Sales, Delivery, and Product teams to ensure seamless handover and successful project execution.
- Define the Pre-Sales process and develop standardized materials and templates for RFPs, proposals, and client engagements.
- Stay up to date with industry trends and emerging technologies to ensure the solutions offered are cutting-edge.
- Act as a trusted advisor on AI across the customer lifecycle; build champions by enabling customers to solve complex data science problems using CI - including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption.
- Proposal & Bid Management:
- Lead the creation of comprehensive and compelling AI proposals, including scope, timelines, costs, and solution approach.
- Support RFP responses, ensuring alignment with client requirements and company capabilities.
- Manage and coordinate with internal teams to ensure that proposals are delivered on time, within budget, and meet quality standards.
Specific Expertise Required
Qualifications & Experience
- Education:
- Bachelor’s degree in computer science, Engineering, Data Science, or a related field. A Master’s degree or MBA is a plus.
- Experience:
- 5+ years of experience in the field of data science, or machine learning with at least 5 years in a Pre-Sales or Solution Engineering leadership role.
- Proven track record of leading successful sales cycles for complex AI and ML solutions, with a deep understanding of the sales process.
- Strong understanding of data engineering, data analytics, artificial intelligence, and machine learning technologies.
- Strong domain knowledge in developing credit risk scorecard, debt collection scorecard, customer acquisition scorecard etc. for financial services.
- Ability to lead and mentor a team of technical professionals, providing coaching and growth opportunities.
Technical / Functional Skills
- Technical:
- Deep knowledge in designing and conceptualizing analytical solution, predictive modeling, and building analytics pipelines for banking or insurance.
- Strong knowledge of big data technologies, cloud platforms (AWS, Azure, GCP), and analytics tools.
- Familiarity with emerging trends in artificial intelligence, deep learning, NLP, and automated machine learning.
- Soft:
- Excellent communication skills, both verbal and written, with the ability to present to executives and technical teams, particularly in South Africa. Previous experience with customers in Africa is an advantage.
- Strong problem-solving skills, with the ability to think creatively and propose innovative solutions.
- Strong business acumen, with the ability to translate technical capabilities into business value.
- Ability to handle complex, high-pressure situations and drive multiple opportunities to successful closures.