Role Title: Pre Sales Specialist

Role Vertical: Conversational AI

Years of Experience: 5-8 years

Base Location: Noida

Preferred Industry: Conversational AI, enterprise chatbots, Contact Center Automation, CPaaS, SaaS or customer-experience platforms

Minimum Qualification: Bachelor’s degree in Engineering, Computer Science, Information Technology or a related discipline. An MBA would be an advantage.

About Fonada

Fonada is an enterprise communication and customer-engagement company offering CPaaS, cloud telephony, messaging and AI-powered communication solutions.

Through Fonada and FonadaLabs, we are building advanced Conversational AI solutions—including AI chatbots, voice bots, speech-to-text, text-to-speech, multilingual AI, voice cloning and speech analytics. These solutions help enterprises automate customer support, lead qualification, sales outreach, appointment booking, collections, onboarding and other high-volume customer interactions.

Position Overview

We are looking for an experienced Pre-Sales Specialist – Conversational AI who can understand enterprise customer requirements and translate them into technically viable and commercially compelling solutions.

The incumbent will work closely with Sales, Product, AI/ML, Engineering, Project Management and Customer Success teams. The role will cover customer discovery, solution design, demonstrations, proposal preparation, RFP responses, effort estimation, proof-of-concept execution and technical closure of sales opportunities.

The position requires business understanding, consultative selling ability, Conversational AI knowledge and sufficient technical depth to engage confidently with business leaders, CIOs, CTOs, contact-centre heads and IT teams.

Key Responsibilities

Customer Discovery and Requirement Analysis

- Participate in customer meetings to understand business objectives, processes, pain points and automation opportunities.
- Identify use cases suitable for AI chatbots, voice bots or integrated omnichannel solutions.
- Understand conversation volumes, languages, channels, integrations, security requirements and expected business outcomes.
- Conduct discovery workshops with business, operations, contact-centre and technology stakeholders.
- Prepare requirement documents, process flows, use-case summaries and solution scope documents.
- Differentiate between standard, configurable and custom-development requirements.

Solution Design

- Design end-to-end chatbot and voice-bot solutions aligned with customer requirements.
- Map conversation journeys, intents, entities, prompts, knowledge sources, escalation rules, exception paths and human-agent handovers.
- Recommend the appropriate combination of rule-based workflows, NLP/NLU, generative AI, RAG and API-driven automation.
- Design solutions for websites, mobile applications, WhatsApp, RCS and other customer-engagement channels.
- Incorporate FonadaLabs’ speech-to-text, text-to-speech, multilingual AI, speech analytics and related capabilities where relevant.
- Define integrations with CRM, ERP, contact-centre, ticketing, payment, database and knowledge-management platforms.
- Prepare high-level solution architecture, data-flow diagrams and API requirements.





Demonstrations and Presentations

- Deliver product demonstrations tailored to the customer’s industry and business requirements.
- Configure demonstration bots, conversation journeys and sample knowledge bases.
- Present Fonada’s Conversational AI capabilities to business and technical stakeholders.
- Explain solution capabilities, limitations, implementation requirements and business benefits clearly.
- Develop industry-specific use cases for sectors such as BFSI, healthcare, education, real estate, e-commerce, travel and logistics.
- Support sales teams during customer presentations, workshops and industry events.

Proposals, RFPs and Commercial Support

- Prepare technical proposals, statements of work, solution notes and implementation plans.
- Lead responses to RFPs, RFIs and technical questionnaires.
- Clearly define scope, assumptions, exclusions, dependencies, deliverables and acceptance criteria.
- Coordinate with Product and Engineering teams to estimate effort, timelines and resources.
- Support pricing based on conversations, users, channels, API usage, integrations and development effort.
- Build ROI-based business cases covering cost reduction, agent productivity, conversion improvement and customer experience.
- Identify delivery, technical and commercial risks before commitments are made.

Proof of Concept and Technical Closure

- Define POC scope, success criteria, timelines and responsibilities.
- Coordinate with Product, AI/ML and Engineering teams for POC delivery.
- Analyse POC results and present recommendations to customer stakeholders.
- Address technical objections, integration questions and information-security requirements.
- Drive opportunities towards technical closure and commercial conversion.

Sales-to-Delivery Handover

- Ensure that the solution sold is clearly documented and practically deliverable.
- Conduct detailed handovers to Project Management, Implementation and Customer Success teams.
- Transfer all agreed requirements, integrations, assumptions, exclusions and acceptance criteria.
- Support the implementation team in resolving requirement-related issues during the initial deployment stage.
- Minimise gaps between pre-sales commitments and final delivery.

Product and Sales Enablement

- Provide structured feedback to Product and Engineering teams based on customer needs and market trends.
- Track developments in Conversational AI, generative AI, LLMs, agentic AI and contact-centre automation.
- Monitor competing platforms and contribute to Fonada’s competitive positioning.
- Create reusable discovery questionnaires, proposals, architecture diagrams, industry solutions and demonstration scripts.
- Train the sales team on use cases, product capabilities, qualification criteria and competitive differentiation.

Required Qualifications and Experience





- Bachelor’s degree in Engineering, Computer Science, Information Technology or a related discipline. An MBA would be an advantage.
- 5–8 years of overall experience, including at least 3 years in pre-sales, solution consulting, product consulting or solution architecture.
- Experience with Conversational AI, enterprise chatbots, contact-centre automation, CPaaS, SaaS or customer-experience platforms.
- Proven ability to translate business requirements into technical solutions.
- Experience preparing proposals, RFP responses, statements of work and technical presentations.
- Experience delivering enterprise product demonstrations and managing POCs.
- Working knowledge of REST APIs, webhooks, SDKs and enterprise integrations.
- Understanding of CRM, ERP, ticketing, contact-centre and knowledge-management systems.
- Familiarity with generative AI, LLMs, prompt engineering, RAG, NLP/NLU, intents, entities and conversational design.
- Basic understanding of cloud architecture, authentication, data security and enterprise deployment models.
- Excellent written, verbal, presentation and stakeholder-management skills.
- Willingness to travel for customer meetings and workshops when required.

Preferred Experience

- Experience with platforms such as Google Dialogflow, Microsoft Copilot Studio, Amazon Lex, Kore.ai, Yellow.ai, Haptik, Gupshup, Rasa or equivalent.
- Exposure to WhatsApp Business, RCS, web chat, mobile-app chat and omnichannel engagement.
- Understanding of AI voice bots, ASR, TTS and telephony integrations.
- Experience with multilingual use cases and Indian enterprise customers.
- Familiarity with data protection, consent, auditability and responsible-AI requirements.
- Experience developing business cases and ROI models for automation projects.

Key Competencies

- Consultative and solution-oriented approach
- Strong customer-facing presence
- Business-process understanding
- Conversational solution design
- Technical and integration aptitude
- Commercial acumen
- Presentation and storytelling skills
- Stakeholder management
- Problem-solving and attention to detail
- Robust ownership and execution discipline

Key Performance Indicators

- Number and value of qualified opportunities supported
- Technical-closure and sales-conversion rates
- Quality and turnaround time of proposals and RFP responses
- Number and success rate of demonstrations and POCs
- Accuracy of solution scope, timelines and effort estimates
- Reduction in sales-to-delivery requirement gaps
- Customer and internal stakeholder feedback
- Contribution to reusable solutions and sales-enablement assets

Ideal Candidate The ideal candidate can understand a customer’s business problem, identify where Conversational AI can create measurable value, design an effective solution and confidently present it to business and technology stakeholders. The candidate should be comfortable discussing customer journeys and ROI with business leaders while also discussing APIs, integrations, architecture and security with IT teams. The person must be commercially aware and disciplined about making commitments that Fonada can implement and scale successfully.

📌 Presales Specialist (Noida)
🏢 Fonada
📍 Noida