AI-Native Web3 Business Development Lead (India)

AI-Native Web3 Business Development Lead (India)

09 Sep
|
InfraSingularity
|
India

09 Sep

InfraSingularity

India

About InfraSingularity

InfraSingularity is a Node-as-a-Service operator running validator and node infrastructure across 50+ proof-of-stake networks, with a primary commercial focus on institutional Canton Network operations.

We are an Approved Canton NaaS Provider with Genesis Set status, a Circle Alliance partner, and a top-15 operator by AUM on Symbiotic. We’re a small, distributed team building institutional-grade infrastructure and operations.

The Role

We’re hiring an AI-Native Web3 Business Development Lead with 3+ years of hands-on experience to lead our existing BD team and transform the function into an agent-first operation.

This role is designed for someone who combines:

Strong Web3 knowledge + proven BD execution + advanced AI-tool usage + agentic workflow design + team leadership

This is not a pure AI engineering role, a traditional BD manager role, or a chatbot-building role. You must understand how to generate, qualify, progress, and close real business opportunities—and how to use AI tools and agents to make that process faster and more effective.

You’ll inherit an active BD team, a real pipeline, established workflows, and a partially built agent stack. Your job is to improve commercial performance while finding and implementing the best AI and agent setup for our BD operation.

Our operating model:

- Humans own relationships, qualification, negotiation, and closing.
- Agents handle research, enrichment, prioritization, outreach operations, follow-ups, and pipeline administration.

What You’ll Own1. BD Performance
- Lead and improve the day-to-day performance of the BD team
- Own pipeline quality, qualification, conversion, and overall execution
- Refine ICPs, messaging, outreach sequences, funnel stages, and channels
- Identify funnel leakage and implement measurable improvements
- Help the team progress qualified opportunities toward close

1. AI and Agentic BD Transformation





- Audit existing workflows and identify where AI agents can create measurable value
- Evaluate tools and models—including Claude, ChatGPT, Grok, Perplexity, and emerging AI platforms —to select the best setup for each workflow
- Convert repetitive manual processes into reliable agent-driven workflows
- Design AI-assisted processes for account research, lead sourcing, enrichment, prioritization, personalized outreach, follow-ups, meeting preparation, CRM administration, and reporting
- Understand when to use an AI agent, conventional automation, a human, or no additional tooling
- Measure the effect of agents on productivity, pipeline quality, and conversion
- Remove tools and workflows that do not produce measurable value

1. Agent Governance

- Establish outbound compliance and messaging guardrails
- Maintain clear agent activity logs and audit trails
- Enforce contact suppression and deduplication
- Require human approval for commitments made to counterparties
- Define clear boundaries between agent execution and human decisions

1. Team Leadership and Adoption

- Manage and work directly with the BD, CRM, and outbound team
- Redesign daily workflows around agents and automation
- Make agent-driven processes the default—not optional tooling
- Coach the team on qualification, outreach, pipeline hygiene, and effective AI usage
- Track adoption and continuously remove operational friction

1. Funnel Intelligence

Move the team away from vanity metrics such as emails sent or leads researched.

Build clear reporting across

Target → Contacted → Engaged → Qualified → Meeting → Opportunity → Negotiation → Closed

Measure:





- Stage-by-stage conversion
- Drop-offs and funnel leakage
- Pipeline velocity
- Channel and campaign performance
- Lead and prospect quality
- Agent adoption and impact
- Human time saved
- Revenue outcomes

Required Experience
- 3+ years of hands-on experience in business development, B2B sales, partnerships, growth, or revenue operations
- Strong practical knowledge of the Web3 ecosystem , including protocols, validators, staking, foundations, institutions, and infrastructure providers
- Demonstrated experience managing or directly contributing to a real commercial pipeline
- Advanced practical experience with Claude, ChatGPT, Grok, Perplexity, or similar AI platforms
- Experience designing or operating AI agents and automated BD workflows , beyond using chatbots only for writing
- Strong understanding of ICP development, qualification, sequencing, deliverability, pipeline management, negotiation, and conversion
- Hands-on experience with CRM and pipeline data, APIs, workflow automation, and analytics
- Familiarity with tools such as Apollo, Notion, n8n, SQL, and LLM/agent frameworks
- Ability to compare AI tools and models and select the right setup for a specific commercial workflow
- Ability to translate business workflows into clear technical requirements and work closely with engineers
- Experience leading a team or driving the adoption of new operating processes
- Strong analytical, operational, and commercial ownership
- A bias toward improving outcomes and killing unused tools—not building tools for their own sake

Nice to Have
- Institutional digital-asset BD experience
- Familiarity with validator, node, or staking infrastructure
- Canton Network ecosystem knowledge
- Institutional or enterprise sales experience
- Experience building an AI-native sales or BD team
- Existing relationships across financial institutions, protocols, foundations, or infrastructure providers

📌 AI-Native Web3 Business Development Lead (India)
🏢 InfraSingularity
📍 India

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