This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a GTM & AI Engineer based in India.
This role is designed for a technically driven professional who can bridge the gap between artificial intelligence, software engineering, and go-to-market operations. You will design and implement AI-powered workflows that transform how revenue teams generate, manage, and accelerate business opportunities. Working across sales, marketing, product, and operations, you will build scalable systems that improve efficiency and decision-making. The position combines hands-on engineering with strategic thinking, giving you ownership over AI adoption across the GTM ecosystem. You will work with modern AI technologies, automation platforms, and data-driven processes to create measurable business impact. This is an opportunity to shape the future of revenue operations in a fast-moving, innovation-focused environment.
Accountabilities:
As a GTM & AI Engineer, you will be responsible for building intelligent systems that enhance revenue processes, improve operational scalability, and enable data-driven growth strategies. You will combine software engineering expertise with AI innovation to create practical solutions across the full go-to-market lifecycle.
- Design, develop, and deploy end-to-end software workflows and automation across CRM, data enrichment, outreach, conversational AI, and revenue operations platforms.
- Integrate LLM APIs, AI agents, and custom middleware solutions into existing sales, marketing, and customer lifecycle systems.
- Optimize data pipelines to ensure seamless movement of lead generation data, intent signals, pipeline activity, and customer insights.
- Evaluate, test, and implement emerging AI tools and frameworks to improve lead scoring, personalization, prospecting, and customer retention strategies.
- Transform manual GTM processes into scalable AI-powered workflows that improve efficiency, reduce friction, and accelerate business growth.
- Establish engineering standards, documentation, and best practices for AI-driven revenue infrastructure.
- Collaborate with Marketing, Sales, Product, and RevOps teams to translate business objectives into technical solutions.
- Support the development of future GTM engineering capabilities by defining technical approaches, team structures, and scalable processes.
Requirements:
The ideal candidate combines strong software engineering skills with experience applying AI technologies to business operations. You should be comfortable building integrations, designing scalable systems, and translating commercial challenges into technical solutions.
- 5+ years of experience in software engineering, revenue operations engineering, GTM technical architecture, or a related technical field.
- Strong programming experience with languages such as Python, Node.js, or TypeScript, along with experience designing API-first architectures.
- Hands-on experience integrating LLM APIs, including OpenAI, Anthropic, or open-source models.
- Familiarity with AI agent frameworks such as LangChain, LlamaIndex, or CrewAI, as well as vector databases.
- Experience building automation workflows using platforms such as Make, n8n, Zapier, or similar tools.
- Knowledge of modern GTM technologies, including CRMs such as Salesforce and revenue platforms such as Gong, Apollo, or Clay.
- Proven ability to design scalable workflows that improve revenue performance, operational efficiency, or business outcomes.
- Strong understanding of B2B SaaS go-to-market metrics and revenue processes.
- Ability to communicate effectively across technical and non-technical teams.
- Experience mentoring engineers or readiness to take on technical leadership responsibilities.
Benefits:
- Fully remote opportunity within India with the flexibility of working in a distributed environment.
- Opportunity to build cutting-edge AI-powered GTM systems with direct business impact.
- High ownership role combining engineering, automation, and strategic innovation.
- Collaboration with cross-functional teams across sales, marketing, product, and operations.
- Opportunity to influence future AI engineering practices and team growth.
- Work on impactful projects focused on improving revenue efficiency and operational scalability.
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