GTM Engineer (Singapore Time)

Pragmatike; EE. UU.; A distancia; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Pragmatike is hiring a GTM Engineer for a fast-growing AI company building scalable, fair and open infrastructure for AI training data. This fully remote role aligns with Singapore or US Pacific business hours, with start ASAP.

You’ll own the GTM tooling stack, build data pipelines, integrations and internal tools used by the commercial team to source, qualify and close opportunities at scale. The role emphasizes practical systems, ownership and rapid learning in a startup setting.

Formación

• 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.
• 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 with an interest in revenue operations and sales workflows.
• Clear written communication and ownership in ambiguous, fast-moving environments.
• 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; learning ability and ownership matter most.

Responsabilidades

• 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.

Conocimientos

Python

TypeScript

SQL

Internal tools

Data pipelines

APIs

LLMs / AI agents

RevOps

Sales awareness

Startup experience

Descripción del empleo

Описание: Location: Fully Remote (Singapore time zone) Start Date: ASAP Languages: Fluent English required Industry: AI / Data Infrastructure Team: Go-to-Market (GTM) Type: Full-time 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 marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies and frontier AI labs. Backed by leading venture investors, including Y Combinator, the company is scaling rapidly and expanding its commercial operations. The company operates a two-sided marketplace where leading AI labs specify the data they need, and the commercial team identifies businesses and individuals who can provide it. As the business grows, the focus is shifting towards building the systems and infrastructure needed to scale these operations efficiently. As a GTM Engineer, you'll approach go-to-market as an engineering challenge. You'll own the technical infrastructure behind the commercial team, building data pipelines, automations, integrations and internal tools that help a lean team source, qualify and close opportunities at scale. This is an engineering-first role with a strong commercial focus, ideal for someone who enjoys building practical systems, solving operational bottlenecks and working closely with sales teams and founders. The company has offices in San Francisco and Singapore, with remote opportunities also available. Working hours will align with either Singapore or US Pacific business hours, depending on your location.

Задачи:

• 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.

Требования:

• 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.
• 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. Work directly with founders: Collaborate closely with the founding and commercial teams, identifying problems and deciding what is worth building. Work with modern AI tooling: Explore and implement AI agents and automation solutions where they deliver real operational value. Flexible working setup: Choose between on-site opportunities in San Francisco or Singapore, or remote work aligned with Singapore or US Pacific business hours.