# gtm engineer

> Weekday AI · India (Remote) · Full-time · Posted 2026-10-14

**Salary:** INR 1,800,000–2,800,000

**Workplace:** remote

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟴𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟴𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟴-𝟮𝟴 𝗟𝗣𝗔)

Experience: 5+ yrs

Location: Remote (India), India

Job Type: Full-time

We are looking for an experienced **GTM Intelligence Engineer** to build intelligent, data-driven go-to-market solutions that help Sales, Marketing, and Customer Success teams identify opportunities, prioritise accounts, and drive revenue growth. The ideal candidate will combine expertise in **GTM strategy, revenue operations, commercial analytics, workflow automation, and AI-assisted intelligence**.

This role focuses on transforming customer data, market signals, buying intent, and relationship insights into actionable commercial opportunities. You will build scoring models, automate go-to-market workflows, and develop measurable solutions that improve pipeline generation, customer expansion, retention, and sales productivity.

## Requirements

Key Responsibilities

-   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 practical 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.
-   Ensure workflows are coordinated to prevent duplicate outreach, conflicting communications, and poor customer experiences.
-   Define data requirements for each use case and partner with IT and Enterprise Data teams to onboard enrichment, intent, relationship, and market-intelligence sources.
-   Translate business requirements into clear technical specifications, configuration requirements, and integration plans.
-   Validate data 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.
-   Conduct structured experiments on targeting, timing, sequencing, and messaging to improve GTM effectiveness.
-   Build dashboards and performance reports in collaboration 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.

What Makes You a Great Fit

-   **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.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/0D65986595/apply)

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