GTM Strategist

Role overview

This opportunity is offered on behalf of a partner company, which will handle applications and all subsequent hiring steps. The employer is seeking a GTM Strategist located in the United Arab Emirates.

This is a central role within a rapidly growing developer platform, where strategy, data, and execution come together to improve how go-to-market teams operate and scale. You will help shape the systems behind revenue performance, collaborating across Sales, Marketing, Finance, Product, and Engineering to bring data, processes, and decisions into alignment. The role combines strategic planning with hands-on analysis, with strong involvement in revenue operations, forecasting, segmentation, and performance reporting. Your work will help create scalable go-to-market infrastructure that improves customer understanding, conversion outcomes, and long-term growth. It is a cross-functional, high-impact position suited to someone who enjoys fast-moving environments and building processes from the ground up to enterprise scale.

What you'll do

• Guide and continuously improve the full revenue operations approach, with emphasis on customer success, pipeline quality, forecasting, territory planning, and capacity modeling.
• Create and uphold a dependable single view of revenue and usage information across multiple tools so leaders can trust the data for decisions.
• Work with Sales leadership to develop segmentation approaches, coverage plans, and quota frameworks that fit developer-led buying patterns.
• Set the core go-to-market metrics across the funnel, from acquisition through expansion, and convert findings into practical business recommendations.
• Own the RevOps roadmap by deciding priorities for tools, assessing systems, and coordinating vendor relationships to strengthen efficiency and scalability.
• Partner with Finance on forecasts and revenue alignment so operational planning and financial models stay consistent.
• Coordinate with engineering and GTM systems teams to automate workflows and build scalable data pipelines that turn strategy into day-to-day execution.

Requirements

• At least 6 years of experience in Revenue Operations, GTM Strategy, Sales Operations, or Strategy Consulting within a B2B SaaS or developer-focused organization.
• Strong working knowledge of GTM platforms such as HubSpot, BigQuery, and modern data stacks, with comfort handling complex datasets.
• Practical SQL ability to independently query data and derive insights.
• Experience creating or refining sales processes, forecasting models, or territory structures in high-growth environments.
• Good understanding of product-led growth, including usage-based triggers and how PLG motions convert into sales-led opportunities.
• Strong communication and stakeholder-management skills, with the ability to align teams across Sales, Finance, Marketing, and Engineering.
• Self-directed work style with a clear bias toward ownership, execution, and building scalable systems from the ground up.

Benefits

• Work fully remotely from anywhere in the world.
• Receive equity through ESOP participation, giving you a stake in the company’s long-term growth.
• Access a setup allowance to create a comfortable remote workspace.
• Get comprehensive health coverage for employees, plus partial coverage for dependents.
• Use an annual learning and development budget for courses, conferences, and professional advancement.
• Join regular global off-sites that support collaboration and team connection.
• Enjoy an asynchronous work environment built on trust and autonomy.
• Contribute to a fast-scaling, developer-first product ecosystem.

Application and privacy information

The hiring process is managed by the partner company. Applications are reviewed through an AI-assisted matching process designed to assess candidates quickly, consistently, and fairly against the role’s main requirements. Shortlisted profiles are passed to the employer, who owns the final hiring decisions and next steps such as interviews or assessments.

By submitting an application, candidates acknowledge that personal data will be processed for evaluation and shared with the hiring employer under applicable data protection rules, including GDPR where relevant. AI tools may also assist with parts of the recruitment workflow, such as resume review, response analysis, and inconsistency checks, but final decisions remain human-led.