Out Bound Tech Sales Executive
About Us
Stat Devs is a leading Data Analytics and Software Consultancy delivering end to-end Data Science solutions. We help organizations build robust data pipelines and automate workflows, empowering them to define and measure data-driven KPIs across key business functions. Our unified dashboards and real-time data platforms integrate multiple sources, enabling powerful, actionable insights. As we expand our global outreach, we’re looking for a driven and results-oriented Outbound Tech Sales Executive to help us grow our footprint in the AI, ML, and Data Engineering space.
Responsibilities
· Identifyand engage potential clients across industries with needs in AI, ML, or DataScience & Engineering services.
· Executeoutbound sales strategies via email marketing and LinkedIn outreach.
· Understandclient challenges and communicate how our solutions add value.
· Schedule discovery calls, product demos, and client meetings.
· Collaborate with technical teams to create tailored proposals and close deals.
· Develop partnerships and uncover new business opportunities in the US and Middle East markets.
· Build and manage a qualified sales pipeline using CRM tools like HubSpot or Pipedrive.
Requirements
· 5+ years of proven experience in B2B sales or business development, preferably in tech, AI/ML, or SaaS sectors.
· Strong ability to grasp complex technical concepts and translate them into clear value propositions.
· Excellent written, verbal, and presentation skills.
· Hands-on experience with LinkedIn outreach, cold emailing, and CRM platforms.
· Self-motivated,goal-oriented, and comfortable working independently in a fast-pacedenvironment.
Bonus If You Have
· Experience working with AI, Data Science, or tech consulting companies.
· Established network in verticals like healthcare, fintech, logistics, or e-commerce.
· Familiarity with selling to international clients, particularly in the US or Middle East.
Why Join Us?
· Work with a skilled technical team on cutting-edge projects in AI and data science.
· Direct exposure to international markets and clients.
· Opportunities for professional growth and leadership.
· Flexible hybrid working environment.