AI GTM Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 105d ago
The date the source published, not the day we noticed it (2026-07-20). Last seen at its source 5h ago.
We have tracked this listing since 3 Sep 2026 (59 days). The employer's own board has carried it every time we have read it, most recently 5 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $50k–90k/yr
Middle 50% of 21 listings that do state pay — Engineering · all levels · India · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Ashby employer's own board first seen 59d ago · last seen 5h ago
The listing
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, 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 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