Key Responsibilities
- Drive
net-new business
across assigned accounts and emerging markets using AI-first sales approaches - Position and sell
AI-led solutions
(including Agentic AI, GenAI, data platforms, CRM, and integrations) in a clear, value-driven way - Apply
consultative selling techniques
to connect client pain points with AI-driven outcomes - Build, manage, and continuously optimize a
high-quality sales pipeline
using modern sales tools and data insights - Collaborate closely with
pre-sales, AI specialists, and solution teams
to craft compelling solutions - Actively participate in
discovery workshops
, identifying automation and AI opportunities within client workflows - Support
proposals, pricing, and contract negotiations
(SOW/MSA) with a solution-oriented mindset - Work with
partners and ecosystem players
to co-sell AI solutions and expand reach - Consistently achieve or exceed
sales quotas and ACV targets
Required Skills & Experience
- 3–6 years of experience in
B2B technology, SaaS, or solution selling
(adapted for younger professionals) - Foundational exposure to
AI, Data, Cloud, or SaaS ecosystems - Strong
new business acquisition mindset
with a hunter mentality - Understanding of
AI use cases
, automation, and real-world business applications - Ability to apply
consultative and value-based selling
principles - Strong communication skills with the ability to engage both
technical and business stakeholders - Comfortable using
AI tools (e.g., copilots, CRM automation, prospecting tools)
in daily sales workflows
Nice to Have
· Exposure to
integration platforms or data ecosystems
· Experience using
AI-powered sales tools
(prospecting, outreach, analytics)
· Basic understanding of
APIs, workflows, or digital transformation concepts
What Success Looks Like
· Builds a
consistent, data-driven pipeline
using AI-assisted prospecting and insights
· Demonstrates strong
deal conversion
through personalized, insight-led engagement
· Clearly articulates
AI value propositions
in business terms (not just technical features)
· Translates
business problems into AI-powered solutions and measurable outcomes
· Achieves meaningful
revenue impact within 6–9 months
· Develops into a
trusted advisor
who can guide clients on AI adoption journeys