Job Description
            
                Why this role
Own prospecting → discovery → demo → proposal → negotiation → close for AI transformation deals (LLM/RAG, agentic workflows, analytics, custom development).
Help build playbooks, deck templates, and pricing narratives with the team.
What you’ll do
- Own the full sales cycle: ICP research, outbound, discovery, solution mapping, demos, proposals/SOWs, negotiation, and close.
- Open new logos across India/GCC/US mid-market; expand pilots into rollouts.
- Translate discovery into solutions with engineers (RAG, LangGraph/LangChain, multi-agent workflows, data pipelines, integrations).
- Create collateral: case decks, one-pagers, ROI models, talk tracks; present to CXO/VP stakeholders.
- Forecast and report: maintain a clean CRM pipeline; weekly forecast and KPI hygiene.
- Build GTM motion: sequences, objection handling, qualification rubric, pricing guardrails.
- Market intelligence: feed competitive insights into offers, scoping, and messaging.
What makes you a great fit
- 3–6 years in B2B software/services sales (IC, quota-carrying) with proven full-cycle hunting + closing.
- Track record closing ₹50–150L+/yr in custom software/AI/analytics or equivalent services.
- Technical fluency: comfortable selling APIs, data flows, LLM/RAG, agentic/automation solutions; can co-scope POCs with engineers.
- Excellent proposals & presentations: turn discovery into clear scope, commercials, and crisp decks.
- Startup readiness: builder mindset, hands-on prospecting.
- Preferred: Computer Science degree (or equivalent CS fundamentals), experience with HubSpot/Pipedrive and LinkedIn Sales Navigator, exposure to BFSI/Healthcare/Manufacturing/Logistics.
AI tools for Sales & Marketing (experience required)
- Prospect research & enrichment: Clay, Apollo/ZoomInfo, Clearbit, LinkedIn Sales Navigator.
- AI research / search: ChatGPT, Perplexity, Exa/Tavily (for account insights, trigger events, message drafts).
- Outbound & sequencing: HubSpot/Pipedrive with AI assist, Outreach/Lemlist/Lavender; personalization at scale.
- Automation & agents: n8n/Make/Zapier; comfort orchestrating mini-agents/workflows for list-building, enrichment, routing.
- Data & signals: web scraping/phantom tools (e.g., PhantomBuster/HeyReach) used responsibly; firmographic/technographic filters.
- Enablement: Notion/Confluence playbooks; proposal automation; basic analytics dashboards.
Bonus if you’ve experimented with agentic prospecting flows (e.g., “researcher → summarizer → personalizer → sequencer”), or used tools like LangGraph/LangChain to prototype demo assistants.