AI GTM Engineer

About this job

SigNoz is hiring an AI GTM Engineer in India for a full-time role. This position involves managing the systems, data, and processes that power the company's marketing engine. In this hands-on role, you will collaborate closely with the Marketing, Sales, Product, and Growth teams to ensure campaigns operate smoothly, data remains reliable, and conversion rates across the funnel continuously improve. A typical day on the job includes building dashboards, fixing email workflows, creating account lists, analyzing conversion drops, and developing AI-native workflows using LLMs and agents for enrichment, research, and personalization. You will also take ownership of GTM tooling, CRM automation, and building a reliable source of truth for the marketing and sales funnel from signup to closed-won deals.

Responsibilities

• Build signal queues for sales including ICP signups, usage spikes, and triggers delivered in HubSpot and Slack.
• Create customer health and alerting systems for usage and billing spikes to assist Sales and CS.
• Develop a trusted funnel as a single source of truth in BigQuery from signup to closed-won.
• Implement AI-native GTM workflows using LLMs and agents for data enrichment, research, scoring, and personalization.
• Automate CRM processes end-to-end including lead routing, lifecycle stages, and data hygiene.
• Manage GTM tooling across HubSpot, Customer.io, Clay, Lemlist, and n8n.
• Design email journeys, segmentation, and experiments for prospects, product users, and customers.
• Build account lists, handle enrichment, and perform ad hoc analysis for Sales and Marketing data.

Requirements

• Strong SQL skills with comfort in BigQuery or a similar data warehouse to build pipelines yourself.
• Ability to write code in Python or TypeScript and work with APIs, especially CRM APIs like HubSpot.
• Experience defining actionable signals rather than just implementing them.
• Prior experience working closely with sales or growth teams, or eagerness to learn their needs.
• Ability to ship scrappily on your own without a dedicated data team.
• Capacity to work asynchronously with some overlap with US hours.

Good to have

• Experience at a PLG, developer tools, infrastructure, or open-source company.
• Hands-on experience with HubSpot, Clay, Customer.io, or n8n.
• Experience building entity resolution or enrichment pipelines.
• Shipped LLM or agent workflows in production and measured accuracy.
• Used product usage data to drive sales or expansion.

Who should apply

This role suits candidates with strong SQL and coding skills in Python or TypeScript who enjoy building data pipelines and GTM systems independently. Ideal applicants have experience working alongside sales or growth teams and are comfortable managing tools like HubSpot, Clay, and n8n. If you have a background in developing AI-native workflows using LLMs, handling CRM automations, and analyzing funnel data in data warehouses, you will thrive in this position. The posting does not mention whether freshers can apply.

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