Go-to-Market (GTM) Platform Engineer

Responsibilities

• Design, prototype, and deploy AI-powered internal applications, workflows, and operational tooling that improve GTM execution and seller productivity
• Build scalable solutions supporting areas such as forecasting, pipeline management, territory planning, quota allocation, value lifecycle management, KYC workflows, industry intelligence, and operational reporting
• Use prompt engineering, AI orchestration, and agentic workflow design to develop production-grade operational applications and internal copilots
• Develop tools and automations that improve pipeline hygiene, forecasting consistency, operational visibility, and data quality across the GTM organization
• Partner directly with GTM leadership and operational stakeholders to identify bottlenecks, inefficiencies, and opportunities for automation and scale
• Translate ambiguous business problems into practical technical solutions and rapidly iterate on prototypes in fast-moving environments
• Build systems and tooling that increase operational leverage, enable more self-service capabilities, and reduce dependency on manual processes
• Required Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Analytics, Business Technology, or a related technical field (or equivalent practical experience)
• Strong SQL skills with the ability to work with large datasets and cloud data warehouse technologies such as Snowflake
• Experience building projects, applications, automations, or workflows using tools such as Python, JavaScript, TypeScript, SQL, or modern AI-assisted development platforms
• Familiarity with AI-native tooling and concepts including LLMs, prompt engineering, AI agents, RAG workflows, or AI-assisted application development
• Curiosity and enthusiasm for using technologies such as Claude, Replit, Cursor, GitHub Copilot, and similar platforms to rapidly prototype and build solutions
• Strong analytical and problem-solving skills with the ability to break down ambiguous business challenges into scalable solutions
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders
• Builder mentality with a bias toward experimentation, iteration, and execution
• Ability to thrive in highly collaborative, fast-paced, and rapidly evolving environments
• Talkdesk has been recognized as a Leader in the Gartner® Magic Quadrant™ for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven c

Requirements

• We are looking for an AI-native builder with strong technical curiosity, operational intuition, and a passion for solving GTM challenges through technology.
• You may be an early-career engineer, recent graduate, Master's student, or someone with a few years of experience who has demonstrated an exceptional ability to build, learn quickly, and operate in fast-moving environments.
• You are energized by ambiguity, excited by emerging AI technologies, and motivated by the opportunity to build systems, workflows, and applications that directly impact how a business operates and scales.

Benefits

Additional Information

Role Description The Forward Deployed GTM Engineer is a highly technical builder role embedded within the Revenue Operations organization. Sitting at the intersection of AI application development, GTM strategy, operational systems, and data infrastructure, this role is responsible for building the internal tools, workflows, automations, and AI-powered applications that enable the go-to-market organization to operate more efficiently and scale more effectively. You will partner closely with Sales, Revenue Operations, Systems, Finance, Product, and GTM leadership teams to rapidly prototype and deploy solutions that support critical initiatives such as forecasting, pipeline management, territory planning, value lifecycle management, KYC workflows, operational reporting, and sales productivity. This role combines elements of Forward Deployed Engineering, AI platform development, and Revenue Operations. Using modern AI-native development environments such as Claude, Replit, and Cursor, you will help transform operational challenges into scalable systems and applications that improve execution, increase operational leverage, and enable a more self-service GTM organization.

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Company Intel

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