AI-Enabled Business Development Executive

Santriya Technologies; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Santriya Technologies Ltd. is seeking an AI-Enabled Business Development Executive to create new revenue opportunities, partnerships and market entry paths for the company's product portfolio through disciplined research, outreach, opportunity shaping and AI-assisted account intelligence.

You will identify target sectors, build partner and enterprise opportunity pipelines, prepare outreach and business cases with AI assistance, and coordinate cross-functional teams through opportunity discovery

Responsibilities

• Identify target sectors, accounts, partners and use cases using approved market, CRM and AI research tools.
• Translate product documentation into clear industry propositions, use-case narratives and qualification criteria.
• Build partner and enterprise opportunity pipelines, including referral, reseller, integration and strategic alliance routes.
• Prepare outreach, meeting briefs, proposals and business cases with AI assistance, validating facts, pricing and commitments against source documents.
• Coordinate product, solution, legal, finance and delivery teams through opportunity discovery and commercial approval.
• Track market signals, competitor moves and customer needs; distinguish verified evidence from AI-generated hypotheses.
• Maintain complete opportunity records, decision logs, dependencies and next steps in the CRM.
• Develop repeatable playbooks for sectors such as banking, investment banking, e-commerce, logistics, property, travel, IT and recruitment.

Job description

Santriya Technologies is seeking an AI-Enabled Business Development Executive to create new revenue opportunities, partnerships and market entry paths for the company's product portfolio through disciplined research, outreach, opportunity shaping and AI-assisted account intelligence.

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 escape conflicts or missing guidance. Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities

• Identify target sectors, accounts, partners and use cases using approved market, CRM and AI research tools.
• Translate product documentation into clear industry propositions, use-case narratives and qualification criteria.
• Build partner and enterprise opportunity pipelines, including referral, reseller, integration and strategic alliance routes.
• Prepare outreach, meeting briefs, proposals and business cases with AI assistance, validating facts, pricing and commitments against source documents.
• Coordinate product, solution, legal, finance and delivery teams through opportunity discovery and commercial approval.
• Track market signals, competitor moves and customer needs; distinguish verified evidence from AI-generated hypotheses.
• Maintain complete opportunity records, decision logs, dependencies and next steps in the CRM.
• Develop repeatable playbooks for sectors such as banking, investment banking, e-commerce, logistics, property, travel, IT and recruitment.

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

• New qualified opportunities and partner-sourced pipeline grow
• Opportunity qualification quality improves
• Proposal turnaround time reduces without control failures
• Win/loss insight is captured and reused