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 • California • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining GTM tooling and data infrastructure, with strong programming skills in Python or TypeScript and proficiency in SQL. Capable of automating workflows and developing internal tools that enhance operational efficiency and support revenue operations.

Highest-signal resume keywords

Python ProgrammingTypeScript ProgrammingSQL ProficiencyData Pipeline DevelopmentAutomation Implementation

ATS Keywords

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Hard Skills

Software EngineeringData EnrichmentAPI IntegrationInternal Tool DevelopmentWorkflow AutomationProblem-SolvingCommercial AwarenessRevenue Operations

Soft Skills

Clear Written CommunicationOwnership in Ambiguous Environments

Tools & Technologies

GTM Tooling StackCRM SystemsAI AgentsScrapers

Industry Keywords

RevOpsGrowth EngineeringSales EngineeringEarly-Stage Startup Experience

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, including 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
Keep the technical stack efficient, reliable and maintainable

Requirements

What you’ll need

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
Clear written communication skills
Ability to take ownership in ambiguous, fast-moving environments
Fluent English required
Nice to have: experience in RevOps, growth engineering, sales engineering or forward-deployed engineering
Nice to have: hands-on experience implementing LLMs or AI agents in production
Nice to have: previous experience in an early-stage startup or as a founder
Nice to have: familiarity with AI training data, including RL environments, evaluations and benchmarks

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
Work with modern AI tooling, including AI agents and automation solutions
High-impact work in a lean team
Build systems that drive revenue