We are looking for a hands-on, full-cycle Enterprise Sales professional who can independently drive direct and platform-based (Upwork) sales for complex technology solutions. This role is not for lead generators, inside sales, or India-market-focused profiles. The role requires a strong engineering orientation, deep understanding of functional flows and integrated workflows, and the ability to sell platforms, integrations, and AI-native solutions to global clients.
Core Responsibilities
- Own the entire sales lifecycle end-to-end: prospecting (direct + strategic platform-led), qualification and discovery, solution structuring and scoping, pricing and negotiation, closure and handover.
- Drive new logo acquisition in global markets including North America, Asia Pacific (APAC), MENA, and UK/EU.
- Sell through direct enterprise channels (networks, outreach, references) and Upwork as a strategic entry channel, not volume bidding.
- Use consultative selling to translate business problems into functional workflows, integrated system architectures, and phased solution roadmaps.
- Work closely with engineering and solution teams to validate feasibility, control scope, and maintain pricing discipline.
- Build credibility with CXO / VP / Director-level stakeholders and position smartData as a long-term execution partner rather than a transactional vendor.
What This Role Is NOT
- Lead-generation-only roles.
- Inside sales or appointment-setting roles.
- India domestic sales.
- Roles dependent only on marketing-qualified leads.
Required Background & Skills – Sales & Business
- Proven experience in global B2B technology sales and ownership of complex sales cycles.
- Comfortable selling B2B, B2C, B2B2C platforms, SaaS, PaaS, and enterprise solutions.
- Strong understanding of pricing discipline, pilot-to-scale engagements, and enterprise buying behaviour.
Engineering & Solution Understanding (Mandatory)
- Engineering background or strong technical orientation preferred.
- Ability to understand and articulate end-to-end functional flows, integrated workflows across systems, platform and solution architectures, and SDLC.
- Comfortable balancing scope vs cost, build vs integrate, and Phase-1 vs scale roadmaps.
AI Capability (Must-Have)
- Practical understanding of Generative AI and Agentic AI.
- Ability to position AI as an embedded operational capability, decision automation, and a measurable business outcome rather than demo-led AI.
Domain & Industry Exposure
- Experience in one or more of the following domains:
- Healthcare
- Real Estate
- Transportation & Logistics
- Field Operations Systems (FOS)
- Field Data Systems (FDS)
- Retail & Commerce
