GTM Engineer
New
W
Weekday AIRevenue operations
Remote (India), IndiaFull-TimeMiddle
Salary1,800,000 - 2,800,000 INR per year
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Job Details
- Experience
- 5+ years of experience
- Required Skills
- PythonSQLJavascriptSalesforceRESTful APIs
Requirements
- Have 5+ years of experience in Revenue Operations, Sales Operations, Marketing Operations, GTM Strategy, Growth Operations, Commercial Analytics, or Revenue Technology.
- Have experience building account scoring, segmentation, prioritisation, intent, or opportunity models.
- Understand B2B enterprise sales, account-based marketing (ABM), customer expansion, and complex buying journeys.
- Have hands-on experience designing and launching automated GTM workflows.
- Translate commercial challenges into technical requirements and measurable solutions.
- Have working knowledge of CRM, marketing automation, sales engagement, data enrichment, intent, and analytics platforms.
- Have experience analysing commercial data using SQL, business intelligence tools, or comparable methods.
- Be familiar with platforms such as Salesforce, Microsoft Dynamics, Marketo, Outreach, Salesloft, 6sense, Demandbase, ZoomInfo, Clay, Apollo, Snowflake, or Databricks.
- Have experience with workflow automation tools such as Workato, n8n, Zapier, or Make, and a working understanding of APIs.
- Have exposure to Python or JavaScript and experience developing AI-assisted research, account-intelligence, or outreach workflows.
- Bring program-management, documentation, analytical, and cross-functional communication skills, and be able to manage multiple initiatives independently.
Responsibilities
- Develop account and opportunity prioritisation models using customer fit, buying intent, engagement, relationship strength, and commercial data.
- Identify whitespace, cross-sell, upsell, acquisition, renewal, and retention opportunities.
- Build ICP, propensity, opportunity-sizing, and relationship-intelligence models.
- Design and launch repeatable GTM plays and automated workflows across Sales, Marketing, and Customer Success.
- Define workflow triggers, target accounts, actions, channels, ownership, timing, and success metrics.
- Partner with IT and Enterprise Data teams to onboard data sources and validate data quality.
- Establish closed-loop measurement from account identification and engagement through meetings, pipeline, bookings, and revenue.
- Run structured experiments on targeting, timing, sequencing, and messaging, and build performance dashboards with Revenue Operations and analytics teams.
- Coordinate platform onboarding, security reviews, integration testing, user acceptance testing, deployment, and adoption.
- Explore AI-assisted research, account intelligence, and outreach workflows.
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