AI Engineer (GTM)

About the Company

The organization operates in the AI data platform space, focusing on the creation, curation, and evaluation of high-quality data essential for AI development. It addresses challenges in ensuring AI models are grounded in accurate, real-world data rather than noise. The organization offers an open-source product, Label Studio, widely used for labeling and evaluating diverse data types including text, images, time series, and agent environments. With over 250,000 users and hundreds of millions of labeled samples, it is a leading open-source solution for AI teams. Its enterprise offering enhances this platform with features supporting security, collaboration, and scalability for mission-critical AI pipelines.

About the Role

The AI Engineer (GTM) will be responsible for architecting and building AI-powered systems that drive the go-to-market (GTM) team’s operations. This foundational role involves owning the technology stack, partnering with stakeholders to define workflows, deploying AI agents, and enhancing customer acquisition and growth processes. The position is hands-on and focuses on developing scalable, intelligent systems that improve the efficiency and impact of the GTM team by transitioning users from open-source/self-serve to paid sales-assisted customers.

Responsibilities

• Design, build, and maintain AI systems supporting marketing, product-led growth (PLG), sales, and post-signup activation

• Manage integrations and workflows across CRM, marketing automation, product analytics, data warehouses, and enrichment tools

• Develop internal tools and lightweight services to accelerate GTM teams and automate manual workflows

• Design and deploy AI-driven workflows and agents for lead qualification, inbound routing, personalized marketing, and sales assistance

• Continuously improve AI systems using performance data and feedback

• Collaborate with Data & Growth to surface product signals to marketing and sales teams

• Build infrastructure for experimentation including feature flags, A/B testing, and measurement systems

• Establish feedback loops connecting users, product signals, and GTM actions for continuous optimization

Requirements

• Strong engineering background in software, data, or growth engineering

• Experience shipping production code including APIs, services, scripts, and internal tools

• Familiarity with data pipelines, analytics, and experimentation frameworks

• Hands-on experience with AI/large language models, prompt engineering, or agent-based systems

• Ability to work cross-functionally with Product, Engineering, Marketing, and Sales teams

• Comfortable operating with ambiguity and defining problems independently

• Strong communication skills to bridge technical and GTM stakeholders

Nice to Have

• Experience with open-source or developer-focused products

• Familiarity with CRM systems (e.g., Salesforce, HubSpot), customer data platforms, and marketing automation

• Experience building internal tools for sales or marketing teams

• Background in B2B SaaS, data, or AI-first companies

Compensation

The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.