GTM Engineer

Weekday (YC W21)

. Develop account and opportunity prioritisation models using customer fit, buying intent, engagement, relationship strength, and commercial data .

Posted 10/15/2026full-timeRemote • IndiaMid-LevelSenior💰 ₹1,800,000 - ₹2,800,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing account prioritization models, designing automated GTM workflows, and translating commercial challenges into actionable technical solutions. Proficient in analyzing commercial data and managing cross-functional initiatives to drive revenue growth.

Highest-signal resume keywords

Revenue OperationsAccount Scoring ModelsAutomated GTM WorkflowsSQL Data AnalysisB2B Enterprise Sales

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Account PrioritizationOpportunity ModelsData EnrichmentWorkflow AutomationCommercial AnalyticsAI-Assisted ResearchSegmentationCustomer ExpansionTechnical SpecificationsPerformance Reporting

Soft Skills

Program ManagementAnalytical SkillsCross-Functional CommunicationDocumentationStakeholder Management

Tools & Technologies

SalesforceMicrosoft DynamicsMarketoOutreachSalesloft6senseDemandbaseZoomInfoWorkatoZapier

Industry Keywords

B2BAccount-Based MarketingGrowth OperationsGTM StrategyComplex Buying Journeys

Tech Stack

Tools & technologies

ApolloJavaScriptPythonSQL

About the role

Key responsibilities & impact

Develop account and opportunity prioritisation models using customer fit, buying intent, engagement, relationship strength, and commercial data
Identify whitespace, cross-sell, upsell, new-customer acquisition, renewal, and retention opportunities
Build ideal customer profile (ICP), propensity, opportunity-sizing, and relationship-intelligence models
Convert market developments, customer behaviour, and buying signals into actionable commercial insights
Test and refine scoring models using actual sales outcomes and revenue performance
Design and launch repeatable GTM plays and automated workflows across Sales, Marketing, and Customer Success
Define workflow triggers, target accounts, actions, communication channels, ownership, timing, and success metrics
Configure automation for alerts, tasks, account lists, sales sequences, campaigns, and follow-up activities
Coordinate workflows to prevent duplicate outreach, conflicting communications, and poor customer experiences
Define data requirements and partner with IT and Enterprise Data teams to onboard enrichment, intent, relationship, and market-intelligence sources
Translate business requirements into technical specifications, configuration requirements, and integration plans
Validate data accuracy, freshness, completeness, and usability before activating commercial workflows
Establish closed-loop measurement from account identification and engagement through meetings, pipeline, bookings, and revenue
Conduct structured experiments on targeting, timing, sequencing, and messaging
Build dashboards and performance reports with Revenue Operations and analytics teams
Coordinate platform onboarding, security reviews, integration testing, user acceptance testing, deployment, and adoption
Manage external vendors and implementation partners
Explore AI-assisted research, account intelligence, and outreach workflows

Requirements

What you’ll need

5+ years of experience in Revenue Operations, Sales Operations, Marketing Operations, GTM Strategy, Growth Operations, Commercial Analytics, or Revenue Technology
Proven experience building account scoring, segmentation, prioritisation, intent, or opportunity models
Strong understanding of B2B enterprise sales, account-based marketing (ABM), customer expansion, and complex buying journeys
Hands-on experience designing and launching automated GTM workflows
Ability to translate commercial challenges into technical requirements and practical, measurable solutions
Working knowledge of CRM, marketing automation, sales engagement, data enrichment, intent, and analytics platforms
Experience analysing commercial data using SQL, business intelligence tools, or comparable methods
Familiarity with platforms such as Salesforce, Microsoft Dynamics, Marketo, Outreach, Salesloft, 6sense, Demandbase, ZoomInfo, Clay, Apollo, Snowflake, or Databricks
Experience with workflow automation tools such as Workato, n8n, Zapier, Make, or similar platforms, along with a working understanding of APIs
Exposure to Python or JavaScript and experience developing AI-assisted research, account-intelligence, or outreach workflows
Strong program-management, documentation, analytical, and cross-functional communication skills
Ability to explain technical trade-offs clearly to non-technical stakeholders and manage multiple initiatives independently
Experience in a multi-product B2B organisation, multi-segment business, or private-equity-backed environment is an advantage