25 Aug
|
Eubrics AI
|
New Delhi
25 Aug
Eubrics AI
New Delhi
Why this role existsMost GTM teams are bottlenecked by manual work: researching accounts one by one, stitching data between tools, writing outreach that reads like a template because it is a template. We're hiring someone to make that bottleneck disappear.
A GTM Engineer sits between growth, sales, and engineering. You won't own a quota and you won't ship product — you'll build the systems that let a small team run outbound, enrichment, and lifecycle motions at a scale that would otherwise require twenty people. If you've ever looked at a sales workflow and thought "this should be a script," this is the job.
What you'll doBuild and own the GTM data layer
- Design enrichment and scoring pipelines that turn raw firmographic, technographic, and intent signals into a ranked, actionable account list
- Keep CRM data clean and trustworthy — dedupe logic, field hygiene, lifecycle stage rules, territory routing
- Stand up reverse-ETL between the warehouse and GTM tools so sales works off the same numbers as the data team
Automate the pipeline
- Ship outbound systems end to end: sourcing → enrichment → qualification → sequencing → routing → reporting
- Build LLM-assisted research and personalization workflows that hold up under volume without sounding generic
- Automate the handoffs nobody likes doing manually — inbound lead routing, PQL alerts, churn-risk flags, meeting prep briefs
Instrument and measure
- Own attribution and funnel reporting closely enough that you can explain any number to the CEO
- Run experiments on messaging, targeting, and channel mix; kill what doesn't work quickly and without ego
- Build dashboards people actually open
Partner with the humans
- Sit with AEs and SDRs, watch how they work, and remove the friction you find
- Translate between "the sales team wants X" and what's actually buildable
- Document what you build so the system survives you being on vacation
What we're looking for
- 2–5 years in growth engineering,
revenue operations, sales engineering, founding GTM, or an adjacent role where you built things rather than just operated them
- Working code, not just no-code. Comfortable with Python or JavaScript for scripting, SQL for analysis, and REST APIs / webhooks for integration. You don't need to pass a LeetCode round; you do need to debug a failing API call at 11pm without help
- Fluency in the modern GTM stack. Clay or equivalent enrichment tooling, a CRM (HubSpot or Salesforce), an outbound platform (Smartlead, Instantly, Outreach, Apollo), and an automation layer (n8n, Zapier, Make, or your own scripts)
- Real experience shipping LLM-powered workflows — prompt design, structured outputs, evals or at least a rigorous eyeball process for quality control. You know where models are reliable and where they quietly aren't
- Commercial instinct. You understand ICP, pipeline math, and why a 2% reply rate can be a outstanding outcome or a terrible one depending on the deal size
- Bias to ship. You'd rather have a rough system live on Tuesday than a perfect one designed by Friday
Nice to have
- Built and scaled an outbound motion from zero at a startup
- Warehouse-native GTM experience (dbt, Snowflake/BigQuery, Hightouch/Census)
- Web scraping, data enrichment, or lead-gen tooling built from scratch
- Founder or side-project background — you've sold something you built
- Public work: a newsletter, an open-source workflow, a Clay table people ask you for
First 90 days
- Day 30 — You've audited the current stack, killed at least one thing we're paying for that doesn't earn its cost, and shipped your first automation
- Day 60 — One full outbound motion is running on infrastructure you built, with reporting we trust
- Day 90 — You're proposing the roadmap rather than working from ours
Eubrics is an equal opportunity employer. We hire on demonstrated ability, not credentials — if you've built the systems but don't match every bullet above, apply anyway and show us the work
📌 GTM engineer (New Delhi)
🏢 Eubrics AI
📍 New Delhi