gtm engineer

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

• Identify opportunities for new customer acquisition, cross-selling, upselling, renewals, retention, and whitespace expansion.

• Build and refine ideal customer profile (ICP), propensity, opportunity-sizing, and relationship-intelligence models.

• Translate market developments, customer behaviour, and buying signals into actionable commercial insights.

• Evaluate and improve scoring models using actual sales outcomes and revenue performance.

• Design and launch repeatable GTM strategies, plays, and automated workflows across Sales, Marketing, and Customer Success.

• Define workflow triggers, target accounts, communication channels, actions, ownership, timing, and success metrics.

• Configure automation for alerts, tasks, account lists, sales sequences, campaigns, and follow-up activities while preventing duplicate outreach and inconsistent customer communications.

• Define data requirements and collaborate with IT and Enterprise Data teams to integrate enrichment, buying-intent, relationship, and market-intelligence sources.

• Translate business needs into clear technical specifications, configuration requirements, and integration plans.

• Validate data quality, accuracy, freshness, completeness, and usability before activating commercial workflows.

• Establish closed-loop measurement to track performance from account identification and engagement through meetings, pipeline, bookings, and revenue.

• Run structured experiments on targeting, messaging, timing, and sequencing to improve GTM effectiveness.

• Develop dashboards and performance reports in partnership 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 to ensure solutions meet business objectives.

• Explore AI-assisted research, account intelligence, and outreach workflows to improve productivity and commercial decision-making.

Requirements

• 5+ years of relevant experience in Revenue Operations, Sales Operations, Marketing Operations, GTM Strategy, Growth Operations, Commercial Analytics, Revenue Technology, or a related field.

• Demonstrated experience building account-scoring, segmentation, prioritisation, buying-intent, or opportunity models.

• Strong understanding of B2B enterprise sales, account-based marketing (ABM), customer expansion, and complex buying journeys.

• Hands-on experience designing, implementing, and optimising automated go-to-market 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 analytical 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, together with a working understanding of APIs.

• Exposure to Python or JavaScript and experience developing AI-assisted research, account-intelligence, or outreach workflows.

• Strong analytical thinking, program management, documentation, 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.

Benefits

• Annual salary: INR 18,00,000–28,00,000 (18–28 LPA).

• Work arrangement: Remote, within India.

• Employment type: Full-time.

• Additional benefits, including healthcare, paid leave, equipment allowances, professional development support, and other perks, were not specified and should be confirmed during the hiring process.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1