GTM Engineer (Pacific Time)

United States · Remotefull time

Remote

entry

H1B: no

Pragmatike GTM Engineer at Pragmatike builds and maintains the technical infrastructure supporting the commercial team for an AI data marketplace. The role focuses on developing data pipelines, automations, integrations, and internal tools to scale go-to-market operations.

Responsibilities

Own the GTM tooling stack end to end, including selecting, configuring, integrating and maintaining the tools used by the commercial team.
Build scalable sourcing systems, including scrapers and data enrichment pipelines, to identify relevant data providers and opportunities.
Develop and maintain the data infrastructure behind GTM, connecting CRM, marketplace and product data into a reliable source of truth for pipeline, listings and revenue.
Build internal tools to support provider research, listing quality checks, pipeline management and sales forecasting.
Automate repetitive workflows across sourcing, qualification, lead routing and reporting.
Identify operational bottlenecks with the founders and commercial team, prioritising automation projects with the highest impact.
Explore and implement AI agents where they provide clear advantages over traditional automation.
Make build-versus-buy decisions for GTM tooling, keeping the technical stack efficient, reliable and easy to maintain.

Qualification

Experience building internal toolsExperience in RevOpsFamiliarity with AI training dataWhy This OpportunityBuild systems that drive revenueHigh impact in a lean team

Required

2+ years of professional software engineering experience.
Strong programming skills in Python or TypeScript, with fluent SQL.
Experience building internal tools, automations or integrations used by other teams in their day-to-day operations.
Hands-on experience developing data pipelines and API integrations between different business systems.
Strong problem-solving skills and the ability to translate business needs into practical technical solutions.
Commercial awareness and an interest in revenue operations, with the ability to understand sales workflows and prioritise projects that directly support business growth.
Clear written communication skills and the ability to take ownership in ambiguous, fast-moving environments.

Preferred

Experience in RevOps, growth engineering, sales engineering or forward-deployed engineering.
Hands-on experience implementing LLMs or AI agents in production environments.
Previous experience in an early-stage startup or as a founder.
Familiarity with AI training data, including RL environments, evaluations and benchmarks.
We're open to motivated candidates who don't meet every requirement. Strong engineering fundamentals, ownership and the ability to learn quickly are what matter most.
Why This Opportunity
Build systems that drive revenue: Develop the tools, integrations and pipelines that power the entire commercial operation.
High impact in a lean team: Automate critical workflows and help a small GTM team operate at significantly greater scale.

Company

Pragmatike

View company page

Source: ashby

Active within the past hour

Remote-friendly

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Must-Have Skills for This Role

PythonTypeScriptSQLdata pipelinesAPI integrationsinternal tools

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