Technology Sales Specialist

Route Mobile Limited

Mumbai

On-site

INR 1,500,000 - 2,700,000

Full time

40 hours ago
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Job summary

Route Mobile Limited is seeking a Product Sales Expert for Heltar AI to accelerate adoption within active opportunities and to uncover value-based selling by closely collaborating with regional sales teams. The role is hands-on: you will build demos, configure use cases, and deploy customer-ready chatbots on the Heltar platform, supporting live deals and implementation.

Based in Mumbai, you will help Sellers and Solution Engineers position and win deals, develop ROI narratives across verticals,

Qualifications

  • Bachelor's degree or equivalent practical experience in business, CS, engineering, or related field.
  • 3+ years in solution sales, sales engineering, or product specialist role, AI/ML exposure.
  • Recent graduates welcome with onboarding and technical enablement program.
  • English: full professional proficiency (written and verbal).
  • Hands-on capability: building and deploying chatbot/use cases, using APIs/webhooks and JSON.

Responsibilities

  • Identify AI opportunities with Sellers and qualify opportunities in the pipeline.
  • Join strategic sales cycles to support discovery, demos, and AI-specific objections; build working prototype or PoC.
  • Develop ROI narratives and business cases tying Heltar AI to outcomes across verticals.
  • Develop vertical viewpoints and messaging for Heltar AI with Product collaboration.
  • Create training, playbooks, and battlecards to enable Sellers and Solution Engineers.
  • Support post-sale implementation, deploying chatbots and configuring journeys with customer teams.

Skills

AI/ML concepts
Chatbot deployment
APIs & Webhooks
No-code/low-code platforms
Solution selling

Education

Bachelor's degree in Business/CS/Engineering

Tools

WhatsApp Business API
RCS
JSON
APIs

Job description

A. Please indicate what the primary focus of the function is: please choose between both options. It is not possible to select both options.

Focus is on technical expertise and individual contribution

(Individual contribution – the position is rather focused on technical expertise than people, project or process management)

Focus is on management

(the focus of the position is on people, project and process management)

B. Mission: Describe below the primary purpose and function of this job. Why does the job exist in the company?
Please formulate your answer as follows: which activities (a,b,c) will need to be completed in order to obtain the following results (x,y,z).
  • Acting as the Product Sales Expert (PSE) for our Heltar AI investment, embedded within the regional sales organization and reporting to the regional Sales Director as a key support function to the sales team, to help Sellers and Solution Engineers position, demonstrate, and win deals involving the AI element of our solutions, this role exists to accelerate adoption of Heltar AI within active opportunities and to uncover value-based selling opportunities across our focused verticals. The role is deliberately hands‑on: the PSE builds the demo, configures the use case, and deploys the chatbot on the Heltar platform rather than briefing someone else to do it. PSEs are based out of Route Mobile offices alongside the regional sales teams, and are encouraged to spend meaningful time with customer representatives, where working close to the customer's own teams surfaces the next set of use cases the platform can serve. During this incubation phase of the Heltar AI investment, PSEs will also stay engaged beyond the sale — supporting implementation of won deals — with the expectation that this involvement evolves into a dedicated Professional Services capability as the practice matures.
  • (a) Support Sellers and Solution Engineers on live deals, building working demos and deploying customer‑ready chatbots on the Heltar platform → to give every opportunity involving Heltar AI credible technical and commercial backing without requiring the seller to be an AI specialist themselves
  • (b) Build value‑based selling narratives tied to business outcomes in focused verticals → to move conversations beyond features and toward the measurable value Heltar AI creates for specific industries
  • (c) Feed field intelligence back to Product and GTM teams, drawing on time spent working directly with customer teams → to ensure the Heltar AI roadmap and positioning stay calibrated to real buyer objections, competitive dynamics, and vertical‑specific needs
C. Key roles and responsibilities: List up to 5 - 7 key roles and responsibilities of this job. Additionally, please indicate the percentage of time spent on a monthly basis for each role/responsibility.
Roles/Responsibilities

AI Opportunity Identification — Working with Sellers to spot and qualify opportunities within existing pipeline where Heltar AI can be positioned as part of the solution, and spending time alongside customer representatives to uncover new use cases the platform can address. — 15%

Deal Support, Demo Build & Co‑Selling — Joining strategic sales cycles alongside Sellers and Solution Engineers to support discovery, demos, and objection handling specific to the AI capabilities of the platform, including building the working prototype or proof of concept on Heltar that the customer evaluates. — 25%

Value‑Based Selling Across Verticals — Identifying and articulating value‑based selling opportunities across focused verticals, building ROI narratives and business cases that connect Heltar AI to customer outcomes. — 15%

Vertical & Solution Specialization — Developing a vertical point of view — industry‑specific use cases and messaging — for Heltar AI across our focused verticals, in partnership with Product. — 15%

Sales & SE Enablement — Building and delivering training, playbooks, and battlecards that help Sellers and Solution Engineers confidently sell the AI element of our solutions. — 10%

Implementation & Professional Services Support (Incubation Phase) — Staying engaged post‑sale to support implementation of won Heltar AI deals: configuring journeys, deploying and tuning chatbots, and working through the integration touchpoints that get a customer live, laying the groundwork for a dedicated Professional Services capability as the practice matures. — 15%

Cross‑Functional Collaboration — Partnering with Product, Marketing, and Solution Engineering to refine Heltar AI go‑to‑market messaging, feed back competitive and market intelligence, and ensure consistent positioning across the sales organization. — 5%

D. Financial responsibility: are you responsible for an operational budget. If so, please provide an indication on the budget size (EUR)

Direct revenue responsibility — No

Operational budget ownership — No

F. Job requirements and qualifications: Indicate the minimum education and experience for this job, competencies required

Bachelor's degree in Business, Computer Science, Engineering, or a related field, or equivalent practical experience

Experienced candidates: 3+ years in a solution sales, sales engineering, or product specialist role, ideally with exposure to AI/ML or conversational AI products, and a demonstrated ability to translate technical AI capabilities into business value. Hands‑on capability is essential: building and deploying chatbot and automation use cases independently, working with APIs, webhooks and structured data formats such as JSON, and writing or adapting prompts for LLM‑driven journeys. Exposure to WhatsApp Business API, RCS, or comparable messaging platforms is an advantage.

Graduate candidates: Recent graduates are also welcome to apply in place of the experience requirement above, provided they complete our structured onboarding and technical enablement program. We are looking for a strong academic foundation (business, engineering, or computer science), a genuine aptitude for technology including comfort building something hands‑on with low‑code tools, APIs or scripting, and the curiosity and communication skills needed to grow into a trusted advisor to Sellers, Solution Engineers and customer teams.

English — full professional proficiency (written and verbal)

AI/ML product fluency, hands‑on chatbot build and deployment on no‑code and low‑code platforms, conversation and journey design, prompt engineering, working knowledge of APIs, webhooks and JSON, basic integration and troubleshooting skills, value‑based and consultative selling, vertical solution selling, cross‑functional collaboration, sales and SE enablement, strong communication skills

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