gtm engineer at Weekday AI in IN

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.

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.