GTM Engineer Specialist Sr Specialist

About Us
Darwinbox is Asia’s fastest growing SaaS based HR Technology platform. A brainchild of alumni from the country’s most distinguished institutions (IIT/IIM/XLRI) and organizations (McKinsey, EY, Google), Darwinbox is the preferred technology partner of 1000+ global enterprises with more than 4 million+ employees using the platform.

Our end-to-end HCM technology suite competes with the best in the business and has won against giants such as SAP, Oracle and Workday several times to acquire iconic enterprise customers ranging from the largest conglomerates to unicorns, such as, Adani, Mahindra, Kotak, TVS, Arvind, Nivea, Puma, Swiggy, Paytm, Bigbasket and Delhivery.

Backed by Sequoia, Microsoft, KKR and Partners Group, and recognized by global analysts such as Gartner and Forrester, we are scaling rapidly across markets. This is a rocketship, and we’re just getting started.

About The Role
As a GTM Engineer, you will embed across Marketing, SDRs, Sales, and Pre-Sales — mapping how work actually gets done, then engineering better versions of those workflows using AI. You will lead AI and technology implementation across all marketing functions, enabling the team to move faster, produce more, and make smarter decisions.

This is an AI-first role in the truest sense. You will not just use AI tools — you will build them. You will design systems, automate workflows, prototype internal tooling, and deploy solutions that generate compounding returns for the entire GTM engine.

What You Will Do

• AI-Native Workflow Engineering
• Identify high-friction workflows across the GTM org and rebuild them with AI at the core.
• Build and deploy automation pipelines using n8n, Make, Clay, and LLM APIs — replacing manual effort with intelligent, signal-driven systems.
• Use AI coding tools (Claude Code, Cursor, Copilot) to build internal tools, scripts, and dashboards without engineering dependencies. If the tool you need does not exist, build it yourself.
• AI-Powered Content & Demand Generation
• Build a content automation pipeline for Answer Engine Optimization (AEO) — so Darwinbox surfaces in every relevant AI-driven buyer conversation, at scale.
• Design and deploy AI-powered outbound systems that personalize messaging at the account and persona level, replacing manual sequencing with intelligent, signal-driven outreach.
• Experiment with warm-up sequences, inbox health, deliverability, and multi-channel orchestration across email and LinkedIn.
• MarTech Stack & AI Tool Ownership
• Own the evaluation, onboarding, and integration of AI and MarTech tools: HubSpot, Clay, Apollo.io, Cognism, HeyReach, Instantly, and whatever emerges next.
• Audit tech spend, eliminate redundancy, and optimize for leverage. If a new AI tool could make the team 2x more effective, you are testing it that week — not that quarter.
• Reporting, Analytics & Data Intelligence
• Build real-time dashboards for campaign performance, pipeline contribution, and GTM efficiency.
• Analyze funnel metrics and surface actionable insights using SQL, automation, or whatever tool fits the question.
• Automate CRM hygiene, data enrichment, and reporting workflows, so the team always works with clean, reliable data.
• Process Design & Governance
• Map existing GTM processes, identify inefficiencies, and implement automation for speed and accuracy.
• Document all workflows and maintain a system of record for automation. Ensure compliance with data governance standards.
  
  

• AI builder: You build with AI, not just prompt it.
• You have used Claude Code, Cursor, or Copilot to ship real things: tools, automations, dashboards, scripts. Going from a problem statement to a working prototype without filing an engineering ticket is table stakes.
• Hands-on experience with automation and integration tools: n8n, Clay, Make, Zapier, or similar.
• Comfort with SQL and APIs — enough to pull, transform, and load data independently.
• Engineering rigor: you break ambiguous problems into first-principles components and own them end-to-end.
• Obsession with outcomes. You are not done when it is built — you are done when it is measurably working.
• Graduated from a top-tier institution (think IIT, NIT, BITS, or equivalent).
  
  

• 2-6 years in content marketing for B2B / SaaS (HR tech experience is a plus).
• Exceptional writing, editing, and storytelling abilities.
• Experience with content calendars, editorial planning, and project workflows.
• Familiarity with SEO fundamentals and performance analytics.
• Strong understanding of buyer personas, content funnels, and GTM alignment.