GTM Engineer (Pacific Time)

Pragmatike

4d • Remote

About The Position

Pragmatike is hiring a GTM Engineer on behalf of a fast-growing AI company building reliable, fair, and open infrastructure for AI training data. Its two-sided marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies, and frontier AI labs. As the company scales its commercial operations, it is building systems and infrastructure to make those operations more efficient.

The GTM Engineer will treat go-to-market as an engineering challenge and own the technical infrastructure behind the commercial team. The role involves building data pipelines, automations, integrations, and internal tools that help a lean team source, qualify, and close opportunities at scale. It is an engineering-first position with a strong commercial focus, involving close collaboration with sales teams and founders.

The company has offices in San Francisco and Singapore, and remote opportunities are available. Working hours align with either Singapore or US Pacific business hours, depending on location.

Requirements

• At least 2 years of professional software engineering experience.
• Strong programming skills in Python or TypeScript and fluent SQL.
• Experience building internal tools, automations, or integrations used by other teams in day-to-day operations.
• Hands-on experience developing data pipelines and API integrations between 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, including the ability to understand sales workflows and prioritize projects that directly support business growth.
• Clear written communication skills and the ability to take ownership in ambiguous, fast-moving environments.
• Fluent English.

Nice To Haves

• Experience in RevOps, growth engineering, sales engineering, or forward-deployed engineering.
• Hands-on experience implementing LLMs or AI agents in production environments.
• Previous experience at an early-stage startup or as a founder.
• Familiarity with AI training data, including RL environments, evaluations, and benchmarks.

Responsibilities

• Own the GTM tooling stack end to end, including selecting, configuring, integrating, and maintaining 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 GTM data infrastructure, connecting CRM, marketplace, and product data into a reliable source of truth for pipeline, listings, and revenue.
• Build internal tools for provider research, listing quality checks, pipeline management, and sales forecasting.
• Automate repetitive workflows across sourcing, qualification, lead routing, and reporting.
• Identify operational bottlenecks with founders and the commercial team, and prioritize high-impact automation projects.
• Explore and implement AI agents where they offer clear advantages over traditional automation.
• Make build-versus-buy decisions for GTM tooling while keeping the technical stack efficient, reliable, and easy to maintain.

Benefits

• Build systems, integrations, and pipelines that power the commercial operation.
• Have high impact in a lean team by automating critical workflows and enabling the GTM team to operate at greater scale.
• Work directly with founders and commercial teams to identify problems and decide what to build.
• Work with modern AI tooling, including exploring and implementing AI agents and automation where they deliver operational value.
• Flexible work setup, with on-site opportunities in San Francisco or Singapore, or remote work aligned with Singapore or US Pacific business hours.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed