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Synced from Ashby · Jul 20

AI GTM Engineer

SigNozIndiaPosted Jul 20, 2026
Marketing Operations ManagerRemoteMid
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Mirrored from SigNoz's own Ashby careers system · refreshed hourly

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Jul 20
Posted
Ashby
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Job description

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, 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

View original posting on Ashby

What applying to SigNoz usually looks like

Based on publicly available information, candidates applying through ashby for roles such as backend engineer, product manager, or support engineer can generally expect a structured online application process, typically beginning with a form requesting a resume and basic details, sometimes followed by role-specific questions. Communication is commonly handled through automated email updates generated by the platform, and response times vary depending on the hiring team's workload and the volume of applicants. The process may include multiple stages, such as initial screening, skills-based assessments, and conversations with team members, though the exact structure can differ by role and department. Candidates should typically prepare materials relevant to the specific position, as technical roles may involve practical exercises while non-technical roles may focus more on experience and cultural fit discussions. Following up politely after submission is generally considered acceptable.

Based on publicly available information. LandEarly does not verify interview process details.

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AI GTM Engineer
SigNoz · India
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