Financial Data Sales Associate

Accountabilities: Manage the full technical sales process, from initial customer inquiries and data demonstrations to addressing technical questions and resolving data-related challenges.

Support customers by providing relevant data samples, technical guidance, and tailored solutions based on their business requirements.

Develop practical market data examples and use cases using technologies such as Python, C++, and/or Rust to help customers understand potential applications.

Build and maintain strong relationships with customers, partners, and industry stakeholders, including executive-level contacts.

Gather customer feedback, testimonials, and case studies to support product improvement and business growth.

Maintain accurate sales forecasts, documentation, CRM records, and reporting processes to ensure visibility across the sales pipeline.

Identify new business opportunities by monitoring industry trends, market dynamics, and competitor activity.

Collaborate with internal teams to align sales initiatives with business objectives and deliver a seamless customer experience.

Support customer success initiatives by understanding user needs, identifying friction points, and ensuring long-term satisfaction throughout the customer journey.

Requirements:

Experience managing an end-to-end sales pipeline, including prospecting, customer acquisition, upselling, channel sales, customer success, and forecasting.

Strong ability to communicate effectively with technical audiences, including developers, quantitative professionals, and financial technology users.

Understanding of financial markets, quantitative trading, or market microstructure is highly preferred.

Excellent attention to detail with strong organizational skills and experience maintaining accurate sales records.

Ability to automate or optimize sales processes using CRM tools such as HubSpot.

Strong professional communication skills suitable for enterprise financial products and institutional customers.

Customer-focused mindset with the ability to provide consultative, value-driven sales experiences rather than transactional selling.

Ability to understand customer pain points, evaluate product fit, and build trust throughout complex sales cycles.

Comfortable working in a startup environment with evolving processes, limited resources, and high ownership expectations.

Technical familiarity with GitHub and programming languages such as Python, C++, or Rust is a plus.

Ability to collaborate effectively with cross-functional teams in a global remote environment.

Benefits:

Fully remote work environment with flexibility to work from anywhere in India.

Opportunity to work with global financial institutions, fintech companies, and technology-driven customers.

Competitive compensation package aligned with experience and market standards.

Opportunity to contribute to the growth of an innovative financial data platform.

Exposure to cutting-edge technologies, market data infrastructure, and quantitative finance use cases.

International collaboration with experienced professionals across finance and technology sectors.

High ownership role with opportunities for professional growth and career development.

Flexible and dynamic startup environment focused on innovation and impact.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

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