
AI Solutions Sales Manager
1 week ago
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.
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