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

About the Opportunity

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.

What You'll Do

• 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.

What We're Looking For

• 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.

Nice to Have:

• 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.

Equal Opportunity & Privacy

Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.