About the company
This position is listed on behalf of a partner company, who manages all applications and next steps.
Responsibilities
- 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
- 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.
Conditions
- 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.