GTM Engineer - Qureos at Qureos Inc

Bahria Town, Punjab, Pakistan -

Full Time

Start Date

Immediate

Expiry Date

23 May, 26

Salary

0.0

Posted On

22 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Scraping, Workflow Automation, API Integration, HubSpot, Zoho, LinkedIn Sales Navigator, Make, Zapier, Airtable, Python, Mixpanel, GTM Engineering, RevOps, Outbound Sequences, Data Integrity, Reporting

Industry

technology;Information and Internet

Description

Hiring is broken. Slow. Manual. Expensive. At Qureos, we’re rebuilding how companies hire using AI, structured processes, and smart automation. We move fast. We test aggressively. We scale what works. Now we’re looking for a GTM Engineer who can build the engine behind our revenue machine. If you enjoy scraping clean data, wiring tools together, automating workflows, and watching pipeline velocity improve because of systems you built — keep reading. The Role This isn’t traditional RevOps. This is hands-on, technical GTM engineering. You’ll sit at the intersection of: Sales Growth Data Automation Your mission: Build and optimize the infrastructure that powers our entire revenue engine. What You’ll Own Lead Intelligence & List Building - Scrape and enrich lead data using tools and scripts - Build high-quality, segmented lead lists - Use LinkedIn Sales Navigator, scraping tools, APIs, and enrichment platforms - Continuously improve data quality and targeting logic - Outbound shouldn’t rely on guesswork. It should run on signal. GTM Automations - Build automations using Make / Zapier - Connect HubSpot, Zoho, LinkedIn, Airtable, and other tools - Design workflows that eliminate manual tasks - Automate lead routing, enrichment, tagging, and lifecycle transitions - If it’s repetitive, it should be automated. Sales & SDR Sequences - Set up and optimize outbound sequences - Structure email + LinkedIn cadences - Align messaging workflows with ICP segments - Improve conversion rates across touchpoints - Sequences are systems. Systems should be engineered. Integrations & Infrastructure - Connect tools across the revenue stack - Build API-based integrations where needed - Write Python scripts for scraping and automation - Maintain data integrity across systems - Troubleshoot workflow issues proactively - You should be comfortable going from no-code to code when needed. Reporting & Revenue Insights - Review performance numbers across the funnel - Track pipeline coverage and velocity - Maintain clean dashboards and reporting structures - Use Mixpanel, Airtable, CRM data to provide actionable insights - Identify bottlenecks and propose fixes - This role is not just building systems — it’s improving them. Who You Are 2–5 years experience in GTM, RevOps, Growth Ops, or technical sales operations Comfortable with both no-code tools and writing scripts Experience with: HubSpot Zoho LinkedIn Sales Navigator Make / Zapier Python (scraping / automation) Mixpanel Airtable Strong understanding of outbound and pipeline mechanics Numbers-driven, you care about conversion rates, velocity, and coverage Builder mindset: high ownership, fast execution Comfortable working in ambiguity Thinks in systems, not tasks You don’t wait for instructions. You identify inefficiencies and fix them. What Good Performance Looks Like Clean, scalable GTM infrastructure 2–3x pipeline coverage maintained Reduced manual work across SDR & sales teams Accurate reporting and visibility Faster lead-to-meeting conversion Revenue engine that runs smoother every month Why Join Qureos Build the backbone of a fast-scaling AI company High ownership and autonomy Direct impact on revenue growth Work closely with growth and leadership No bureaucracy. Just speed and execution. If building systems that drive revenue excites you more than maintaining spreadsheets, apply. Let’s engineer the growth engine.

Responsibilities

The primary mission is to build and optimize the infrastructure powering the entire revenue engine, which includes leading intelligence, GTM automations, sales sequences, and core integrations. This involves hands-on technical engineering to scrape data, connect tools, automate workflows, and ensure data integrity across the revenue stack.