GTM Engineer

Pragmatike

. Own the GTM tooling stack end to end, including selecting, configuring, integrating and maintaining commercial-team tools .

Posted 11/11/2026full-timeRemote • Singapore, Philippines, Indonesia, Australia, Thailand, Kazakhstan, ArmeniaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining GTM tooling stacks, developing data pipelines, and automating workflows to enhance operational efficiency. Proficient in programming with Python or TypeScript and fluent in SQL, with a strong understanding of sales workflows and revenue operations.

Highest-signal resume keywords

Python ProgrammingTypeScript ProgrammingSQL ProficiencyData Pipeline DevelopmentAutomation Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData EnrichmentAPI IntegrationInternal Tool DevelopmentWorkflow AutomationProblem-SolvingCommercial AwarenessSales Workflow UnderstandingProject PrioritizationAI Agent Implementation

Soft Skills

Clear Written CommunicationOwnership in Ambiguous EnvironmentsCollaboration with Teams

Tools & Technologies

GTM Tooling StackCRM SystemsMarketplace DataSales Forecasting ToolsSourcing Systems

Industry Keywords

RevOpsGrowth EngineeringSales EngineeringEarly-Stage Startup ExperienceAI Training Data

Tech Stack

Tools & technologies

PythonSQLTypeScript

About the role

Key responsibilities & impact

Own the GTM tooling stack end to end, including selecting, configuring, integrating and maintaining commercial-team tools
Build scalable sourcing systems, scrapers and data-enrichment pipelines
Develop and maintain GTM data infrastructure connecting CRM, marketplace and product data
Build internal tools for provider research, listing quality checks, pipeline management and sales forecasting
Automate workflows across sourcing, qualification, lead routing and reporting
Identify operational bottlenecks with founders and the commercial team
Prioritize high-impact automation projects
Explore and implement AI agents where advantageous over traditional automation
Make build-versus-buy decisions for GTM tooling
Work closely with sales, commercial and founding teams to scale operations

Requirements

What you’ll need

Fluent English required
2+ years of professional software engineering experience
Strong programming skills in Python or TypeScript
Fluent SQL
Experience building internal tools, automations or integrations used by other teams
Hands-on experience developing data pipelines and API integrations between business systems
Strong problem-solving skills
Commercial awareness and interest in revenue operations
Ability to understand sales workflows and prioritize projects supporting business growth
Clear written communication skills
Ability to take ownership in ambiguous, fast-moving environments
Nice to have: experience in RevOps, growth engineering, sales engineering or forward-deployed engineering
Nice to have: production experience implementing LLMs or AI agents
Nice to have: early-stage startup or founder experience
Nice to have: familiarity with AI training data, RL environments, evaluations and benchmarks
Ability to work full-time during Singapore business hours (SGT, UTC+8)

Benefits

Comp & perks

Fully remote work option aligned with Singapore or US Pacific business hours
On-site opportunities in San Francisco or Singapore
Opportunity to work directly with founders
Exposure to modern AI tooling, AI agents and automation solutions
High-impact work in a lean team
Full-time employment