Dataseed Technologies is a technology and software development firm specializing in building intelligent digital solutions across Robotic Process Automation (RPA), UI/UX engineering, application development, and AI/ML-driven systems for enterprise use cases.
We work at the intersection of technology, customer experience, and business strategy, enabling organizations to solve complex problems and drive measurable outcomes through digital transformation.
Role Overview:
We are looking for a dynamic and driven Business Development Executive who enjoys meeting people, understanding business challenges, and building strong client relationships. This role blends sales, consulting, research, and solutioning, offering high exposure to enterprise clients and strategic engagements.
Key Responsibilities
Conduct cold outreach to enterprises and potential clients through calls, emails, LinkedIn, and networking activities.
Identify and connect with key decision-makers across target organizations.
Generate qualified leads and build a strong sales pipeline.
Conduct in-person and virtual meetings with prospective clients.
Present Dataseed Tech's services, capabilities, and business solutions.
Understand client pain points, business challenges, and operational requirements.
Conduct industry, market, and company research using Google, LinkedIn, and AI-powered tools.
Identify business opportunities and develop relevant solution approaches in collaboration with internal teams.
Assist in preparing Scope of Work (SoW) documents, client proposals, presentations, and pitch decks.
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Founded in 2016, DataSeed Tech is a provider of IT solutions and software development services. We believe that well-made websites & software are the most needed infrastructure requirements in this decade and could become a magnificent window for the transformation of your business into the digital world. We thrive in providing the best custom solutions. Be it CRM, enterprise resource and process management, e-commerce, data analytics, information security, or DMS, and other such innovative fields as artificial intelligence, machine learning, big data, the 'Internet of Things', and augmented and virtual reality.