Pre-Sales Engineer

About Us

As the world's leader in conversational engagement technology, Gupshup’s mission is to make conversations between brands and their consumers fulfilling and delightful! Our advanced AI Platform provides secure and scalable conversations around the world and is handling more than 10 billion conversations every month, transmitted in 200+ countries.

Today, over 45,000 businesses globally Gupshup’s award-winning software, services, and support to transform how they connect, converse, convert, and delight customers. Composed of Gupshup’s product portfolio - Conversational Marketing, Conversational Commerce, and Conversational Support, we offer companies an innovative way to create ‘moments of magic’ across the customer lifecycle. As the world moves from analog to digital, Gupshup is applying its brand, products, people, network, and scale to reshape the future of digital conversations.

Some of our key clients include Unilever, Flipkart, Nykaa, Citibank, Standard Chartered, Netflix, Tata, AkzoNobel, Danone, and many mid-sized companies across the globe.

Founded in 2004 by serial entrepreneur, Beerud Seth, Gupshup.io is headquartered in Bombay, India with offices across the USA, Europe, Latin America, APAC, and the Middle East. Valued at $1.4 bn, the company has marquee investors such as Tiger Global, Fidelity Management and Research Co. LLC, and others on its cap table.

Working at Gupshup gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of problem-solvers, innovators, and risk-takers who are helping drive innovations for the mobile-first markets. So, if you're ready to unleash your full potential, be a part of a powerful mission, do your best work, and be the best version of yourself, apply now! Visit www.gupshup.io to know more about our platform and https://www.gupshup.io/resources/newsroom to view our newsroom

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Position: Pre-Sales Engineer

Job Responsibilities

• Understand the conversational automation platforms, its offerings/capabilities and the Problems that these offerings can solve for Enterprises in Each Industry and Each function.
• Collaborate with the sales team to understand client requirements and architect custom conversational AI solutions using Gupshup’s APIs and platform.
• Conduct high-impact technical demos and presentations to stakeholders, ranging from Product Managers to CTOs.
• Understand the various backend & frontend systems along with the overall architecture that can be integrated with conversational platforms.
• Own the technical execution of PoCs, ensuring that the client’s success criteria are met and any technical hurdles are cleared.
• Design and implement lightweight backend services and APIs to power demo workflows and conversational journeys.
• Contribute to solution architectures, flow diagrams, API mappings, and RFP/RFI/SoW inputs.
• Act as the "voice of the customer" for the Product and Engineering teams to help influence the roadmap based on market needs.
• Stay abreast with current industry trends, emerging technologies and competitor offerings.

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Skill Requirements

• Has the ability to solve complex business problems and concepts and make disciplined decisions based on the available information.
• Exposure to toolsets (Jira, Confluence or similar tools) across Requirements documentation, conversation design and Quality assurance.
• Strong communication skills to collaborate effectively with cross-geographical teams.
• Value proposition through Proof of Concept.
• Enterprise security knowledge.
• Proactive problem solving mindset to bring possible solutions and workarounds.
• 2-5 years in a Pre-Sales, Solutions Architecture, or Technical Consulting role (SaaS or CPaaS experience is a major plus).
• AI assisted coding and prompt engineering experience.
• Hands-on experience building and consuming RESTful APIs and handling webhooks.
• Familiarity with at least one programming language (Node.js, Python, or Java).
• Basic understanding of cloud platforms (AWS/Azure/GCP) and deployment concepts, LLMs and integrations (CRMs such as Salesforce, HubSpot, Ticketing/Support Platforms, etc).
• Basic understanding of Conversational AI concepts including intents, entities, session management, fallback handling, and GenAI-driven responses (Good to have)