Target Markets: USA, Europe, India and Middle East

About the Role

We are looking for an aggressive, results-oriented Business Development Manager to drive new business acquisition for our Artificial Intelligence and Machine Learning services practice.

The candidate will be responsible for identifying prospective clients, building relationships with CXOs and technology leaders, generating qualified opportunities, presenting AI solutions, developing proposals with technical teams, negotiating commercial terms and closing projects.

Our service portfolio ranges from foundational AI services such as data annotation and data preparation to advanced solutions including Generative AI, Agentic AI, AI chatbots, voice AI agents, intelligent automation and custom enterprise AI applications.

The ideal candidate will have a proven track record of selling IT services, AI/ML solutions, digital transformation or technology consulting engagements to enterprise and mid-market customers.

This is a hunter role. The primary responsibility is to bring new clients and generate revenue, not merely manage existing accounts or sell software subscriptions.

Key Responsibilities

1. New Business Development and Client Acquisition

- Identify and acquire new clients for AI/ML services across the USA, Europe, India and other target markets.
- Build a pipeline of enterprise customers, mid-market businesses, startups, technology companies and Global Capability Centres (GCCs).
- Identify opportunities through cold calling, email outreach, LinkedIn, industry networks, referrals, partnerships and events.
- Develop relationships with CTOs, CIOs, Chief Data Officers, Heads of AI/ML, Heads of Engineering, product leaders and business decision-makers.
- Conduct discovery meetings to understand business challenges and identify suitable AI/ML use cases.
- Own the complete sales lifecycle, from prospecting and qualification to proposal, negotiation and contract closure.
- Build a predictable sales pipeline and consistently achieve revenue and new-client acquisition targets.

1. Selling Foundational AI/ML Services

The candidate must understand and sell foundational AI services, including:
- Data annotation and labelling for image, video, text, audio and document datasets.
- Data collection, data preparation, data cleaning and data enrichment.
- Human-in-the-loop services and AI model evaluation.
- Training-data preparation for machine learning and Generative AI models.
- Content moderation, speech transcription and linguistic data services.
- Computer vision annotation and document-processing support.
- AI/ML testing, validation and quality assurance.

The candidate should identify customers developing AI models or products and position our services as an extension of their internal AI teams.
1. Selling Generative AI and Conversational AI Solutions

- Identify opportunities for enterprise chatbots, customer support automation and knowledge assistants.
- Sell Retrieval-Augmented Generation (RAG), enterprise search and document intelligence solutions.
- Develop opportunities for AI-powered customer support,



sales assistants and internal employee copilots.
- Identify conversational AI and voice AI opportunities for contact centres, banking, insurance, healthcare, retail and other industries.
- Position custom LLM applications, workflow integrations and enterprise AI implementation services.
- Work with solution architects to conduct discovery sessions, demonstrations, proof-of-concept discussions and solution presentations.

1. Selling Agentic AI and Intelligent Automation

- Identify business processes that can be automated using AI agents and workflow orchestration.
- Sell Agentic AI solutions that can interact with enterprise systems, retrieve information, execute approved actions and coordinate multi-step workflows.
- Identify use cases for sales automation, recruitment automation, customer service, finance operations, document processing and IT operations.
- Sell AI-powered business process automation, intelligent document processing and human-in-the-loop workflows.
- Work with technical teams to estimate project scope, integration complexity, implementation timelines and commercial value.
- Develop ROI-based proposals that demonstrate measurable improvements in productivity, cost efficiency and turnaround time.

1. Enterprise AI Consulting and Custom Development

- Identify opportunities for custom AI/ML application development and enterprise AI implementation.
- Sell AI proof-of-concepts, pilot projects, production deployments and managed AI services.
- Identify opportunities for machine learning, predictive analytics, computer vision, NLP and intelligent decision-support systems.
- Cross-sell data engineering, cloud engineering, MLOps, application development and ongoing support services where relevant.
- Build strategic relationships with consulting firms, system integrators, technology vendors and implementation partners.

1. Sales Strategy and Pipeline Management

- Develop target-account lists and account-based sales strategies.
- Research target industries, buyer personas, technology requirements and AI adoption initiatives.
- Maintain a qualified pipeline in CRM with accurate opportunity values, stages, decision-makers and expected closure dates.
- Prepare weekly pipeline reviews, sales forecasts and monthly revenue reports.
- Develop proposals, capability presentations, statements of work and commercial quotations in coordination with technical teams.
- Monitor competitor offerings, market trends, pricing models and emerging AI service opportunities.
- Establish repeatable sales playbooks for different AI service lines and target industries.

Required Skills and Experience
- 512 years of experience in B2B technology sales,



business development or enterprise IT services sales.
- Demonstrated experience acquiring new customers and closing technology services engagements.
- Experience selling at least one of the following: AI/ML services, Generative AI, data engineering, software development, automation, cloud services or technology consulting.
- Understanding of the AI/ML services lifecycle, including discovery, solution design, proof of concept, implementation and support.
- Ability to engage technical and business stakeholders and translate business problems into potential technology solutions.
- Experience preparing proposals, negotiating commercial terms and managing complex sales cycles.
- Strong prospecting, presentation, negotiation and relationship-building skills.
- Familiarity with LinkedIn Sales Navigator, CRM platforms, email outreach and sales intelligence tools.

Preferred Experience
- Existing relationships with CTOs, CIOs, Heads of AI, Heads of Data, product leaders and enterprise technology buyers.
- Experience selling to US-based customers and managing international sales cycles.
- Experience closing projects worth $25,000–$250,000 or more, depending on service complexity.
- Experience selling data annotation, Generative AI, Agentic AI, chatbot or automation projects.
- Exposure to enterprise procurement, vendor onboarding, RFPs, MSAs and statements of work.
- Experience building a new territory, vertical or technology services practice from the ground up.
- A solid personal network of enterprise customers, technology partners and consulting firms.

Key Performance Indicators (KPIs)
- New clients acquired and first-time contracts signed.
- Qualified sales pipeline generated.
- Total bookings and revenue closed.
- Gross margin and commercial quality of projects won.
- Conversion rate from discovery to proposal and proposal to closure.
- Number and value of new AI/ML opportunities generated.
- Repeat business, account expansion and strategic partnerships.

Candidate Profile We are looking for a proactive, commercially driven professional who can open doors, identify business problems, build trust with senior decision-makers and convert opportunities into revenue.

The candidate should be comfortable selling both smaller, repeatable services such as data annotation and larger, consultative engagements involving enterprise AI applications and Agentic AI implementations.

Key: Candidates with experience limited to selling off-the-shelf SaaS licences, staffing-only contracts or account servicing without new business acquisition will not be the primary target profile.

Education

Bachelor's degree in Engineering, Computer Science, Business Administration or a related discipline preferred. Relevant technology sales experience and a proven revenue track record are more important than academic qualifications.

Compensation

Competitive fixed salary plus performance-linked incentives based on new business acquisition, bookings and collections, aligned with the candidate's experience and demonstrated sales capability.

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