Business Development Lead

Own the whole cycle. Target-account development, outbound prospecting, discovery, solution design, proposal, pilot, negotiation, closure, expansion. All of it. There is no one to hand the baton to halfway.

Build a pipeline that doesnt exist yet. Across AI companies, model developers, AI-native businesses, and enterprises building or deploying AI. Youll decide who matters and in what order.

Get into rooms with people who decide things. Heads of AI, Heads of Data, CIOs/CDOs, AI Product leaders, and AI Research/Evaluation teams - to find where expert human judgment is genuinely required.

Ask better questions than the competition. Consultative discovery to understand the customers specific AI evaluation, validation, training, or domain-expertise gap.

Translate fluently in both directions. RLHF, model evaluation, red-teaming, fine-tuning, human-in-the-loop workflows - turned into a business case that works for a research lead

and

for the executive signing the cheque.

Stay honest about what we can deliver. Work closely with our research, expert-sourcing, and delivery teams so that what you propose is commercially viable and operationally real. Selling something we cant build is not a win.

Design the deal. Pilot and commercial structures - scope, pricing, success criteria, expansion pathways - built with leadership.

Then close it. Own commercial discussions through procurement and contracting, coordinating internally on legal, compliance, data handling, and IP.

Dont disappear after signature. Stay close to strategic accounts through delivery, and use client feedback and outcomes to find expansion and repeat business.

Bring the market back inside. Feed intelligence into positioning, use cases, pricing, and sales strategy so the playbook keeps improving.

Be visible in the ecosystem. Build Infollions presence in AI/ML through the right conversations, networks, events, and communities.

Who were looking for -

Exposure to B2B sales / business development, with meaningful exposure to complex, consultative, multi-stakeholder transactions.

Experience in consultative or solution selling, where understanding the customers problem is central to the sales process - not a step you rush past on the way to the pricing slide.

Demonstrated ability to build pipeline through prospecting and outbound business development.

Ability to operate in a 0 1 environment and create structure where a mature sales playbook does not yet exist. You will be writing that playbook, mostly by being wrong a few times first.

Strong enough understanding of the AI/LLM ecosystem and development lifecycle to engage credibly with AI and data leaders. Credibly - not by reciting last weeks headlines.

Ability to communicate effectively with both technical buyers and senior business executives.

Strong commercial judgment across qualification, pricing, deal structuring, and negotiation.

Genuine curiosity about how AI systems are built, evaluated, and deployed - and where human expertise adds value.

Helpful, not deal-breakers

Experience selling AI/ML, data, AI evaluation, data services, expert networks, enterprise SaaS, research, consulting, or other complex professional services.

Existing relationships with AI, data, technology, or digital leaders in large enterprises or AI companies.

Experience selling into AI labs, model developers, AI-native companies, or enterprise AI programs.

Familiarity with AI procurement, pilots, data/IP considerations, and enterprise contracting.

Experience operating across multiple stakeholders, functions, and geographies.

Why this one is worth reading twice

Its a genuine 0 1 mandate - inside a listed company with a decade-plus expert network already built. Ambition without the usual runway anxiety.

Youll sell into one of the few categories where the buyer is still figuring out what they need. Thats harder. Its also where the interesting deals are.

Your feedback loop is short: what you learn in the market changes our positioning and pricing, not a slide in someones quarterly deck.

If this sounds like you:

Experience level: 0 to 15 years. If its 0, prove your potential. If its 15, show us your closures. Everything in between should be able to argue its own case.( If you read the "0 to 15 years" line and felt personally addressed, apply.)

The last mile of artificial intelligence is a human being. Come sell it.

Required Skills

Solution Sales Artificial Intelligence Stakeholder management Lead Generation B2B Sales New Business Development Business Strategy Enterprise Sales Client Business Skills Consultative Selling

Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.