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AI-Enabled Sales Executive / Sales Representative (Chennai)

Santriya Technologies · Chennai

📅 06/08/2026
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- Santriya Technologies is seeking an AI-Enabled Sales Executive / Sales Representative to own product-led prospecting, qualification, demonstrations and conversion for assigned company products, using approved AI tools to improve preparation, follow-up and pipeline quality without replacing human judgement. - Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services. - The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth. - Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work. - Validate material AI outputs against current documentation and authoritative system data, record exceptions, and escalate conflicts or missing guidance. - Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions. Key Responsibilities: - Build and manage a qualified pipeline across assigned territories, segments and product lines. - Use approved AI copilots to research accounts, summarize interactions, prepare call plans and draft personalized outreach, validating all claims before use. - Run discovery against product documentation to map customer needs to supported features, integrations, pricing rules and service boundaries. - Deliver product demonstrations and proposals; coordinate technical, legal, finance and delivery inputs for non-standard requirements. - Maintain accurate CRM records, next actions, probability, risks and customer commitments after every material interaction. - Use AI-assisted call notes and sentiment/intent signals to prioritize follow-up, while escalating sensitive or ambiguous customer issues. - Protect confidential data and never use unapproved AI tools for customer, pricing, contract or regulated information. - Feed recurring objections, lost-deal reasons and feature requests to product and marketing teams with evidence. - AI-enabled ways of working: - Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation. - Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules. - Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records. - Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement. - Human accountability: AI is a copilot, not the accountable decision-maker. - The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation. - Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review. - Success Measures: - Qualified pipeline coverage and conversion improve - CRM/documentation accuracy remains high - Customer commitments match approved product capability - Forecast variance and avoidable sales-cycle delays reduce .
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For people searching Sales

74,689 Sales Jobs Open Right Now — Where to Look

Most are in India and the US. Here's how to pick the right one for you.

74.689Jobs
17.483IN
79%EN

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Almost 8 in 10 of these ads have their text written in English. That's useful for reading the job description and understanding what you're signing up for. But it tells you nothing about whether the role requires you to speak English with customers, partners, or your team. Ask the hiring manager directly during your first conversation.

The employers posting the most are boxlunch, SIMPLE RECRUIT, FlexBoard, and tmobile. If you see their name on a listing, you know they're actively hiring. That can work in your favor — high-volume recruiters often move faster. But volume also means competition. Your application needs to stand out.

Sales interviews almost always include a version of this: 'Tell me about a time you lost a deal. What did you learn?' Prepare a real story where you take ownership of what went wrong and what you'd do differently. Hiring managers want to see you learn, not just win.

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