AI GTM Engineer

Company shown to members 🔒 · Remote · India only

India onlyExperience not statedPublished 20 July 2026Check carefully

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First recorded by Psst: 12 October 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
Experience not stated
Where you can live
India only
Skills and tools
hubspot, slack, sql, crm, async
Time zone
US hours
Job type
Full-time

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Job details

Where you can work
India
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
Experience not stated
Employer publication date
20 July 2026
First recorded by Psst
12 October 2026
Last checked at the source
10 November 2026

About the job

AI GTM ENGINEER

ABOUT THE ROLE

We’re looking for an AI GTM Engineer to own the systems, data, and processes behind our marketing engine.

This is a hands-on role. You’ll work across Marketing, Sales, Product and Growth to make sure our campaigns run smoothly, our data is reliable, and we’re continuously improving conversion across the funnel.

You should be equally comfortable building a dashboard, fixing an email workflow, creating an account list, and figuring out why a conversion rate dropped.

What you'll build

  • Signal queues for sales. Define and ship signals such as ICP signups, usage spikes, expansion and win-back triggers, delivered to reps as ranked queues in HubSpot and Slack.
  • Data Pipelines: Build and maintain data pipelines for ingesting intent signals from various sources
  • Customer health and alerting. Build usage and billing-spike alerts so CS and Sales act on changes in paying accounts.
  • A trusted funnel. Build one source of truth for signup to SQL to closed-won in BigQuery, trusted by every GTM lead.
  • AI-native GTM workflows. Use LLMs and agents for enrichment, research, scoring and personalization, and measure how accurate they are.
  • CRM automation. Automate lead routing, lifecycle stages and data hygiene end to end, with zero manual lead assignment.
  • Build a self improving GTM system using LLMs and connectors to data source. Incorporate feedback mechanism so that the system improves over time

You'll also own

  • GTM tooling across HubSpot, Customer.io [link for members] Clay, Lemlist and n8n
  • Email journeys for prospects, product users and customers, including segmentation and experiments
  • Account lists, enrichment and measurement for ABM and outbound campaigns

Who would be a good fit

  • Experience in building data pipelines to get signals from different sources
  • Strong SQL. You're comfortable in BigQuery or a similar warehouse and build pipelines yourself.
  • You have 3+ yrs of experience either on engineering or GTM side or mix of two
  • You can work with APIs, especially CRM APIs like HubSpot's.
  • You define signals, not just implement them: you have a view on what makes an account worth calling, and you check that view against what actually closes.
  • You've worked closely with sales or growth teams, or you're eager to sit with reps and learn what they need.
  • Interest in understanding how GTM works and ideating ways to find new intent signals
  • You ship scrappily on your own, without needing a data team around you.
  • You can work async with some overlap with US hours.

Bonus points

  • Experience at a PLG, developer tools, infrastructure or open-source company
  • Hands-on experience with HubSpot, Clay, Customer.io [link for members] or n8n
  • You've built entity resolution or enrichment pipelines (for example, domain or IP to company)
  • You've shipped LLM or agent workflows in production and measured their accuracy
  • You've used product usage data to drive sales or expansion

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