AI-Driven GTM Engineer — Remote

Blackwall; United States; Teletrabalho; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

Blackwall is seeking a GTM Engineer to design, build, and continuously improve an AI-powered outbound growth engine. You’ll blend data science, automation, and commercial insight to determine who we contact, when to reach them, and how to personalise messaging at scale.

Ideal candidates combine production-ready AI experience with hands-on data science, strong Python/SQL skills, and deep HubSpot experience to own CRM automation, segmentation, and multichannel outreach.

Qualificações

• Strong experience building production-ready AI solutions, including LLM workflows, agents, prompt engineering, evaluation, and guardrails.
• Hands-on data science experience, particularly predictive modelling, propensity-to-buy scoring, feature engineering, and model validation.
• Proficiency in Python and SQL, with the ability to work independently with complex datasets.
• Deep understanding of HubSpot, including workflows, properties, sequences, reporting, integrations, and CRM data architecture.
• Practical experience with Clay or comparable enrichment and automation platforms.
• Experience designing and implementing scalable automation systems, ideally in a B2B go-to-market environment.
• Strong analytical thinking and the ability to translate technical findings into actionable business recommendations.
• An experimental mindset, strong ownership, and the ability to build solutions rather than simply operate existing tools.
• Ability to document technical processes clearly and make them reusable.
• Fluent English communication skills.

Responsabilidades

• Build intelligent targeting systems: Develop and maintain dynamic ICPs, account segmentation, and propensity-to-buy models using CRM, firmographic, and engagement data.
• Apply data science to commercial challenges: Use Python, SQL, and predictive modelling to identify high-potential accounts, detect buying signals, and make insights available in HubSpot.
• Develop AI-powered research and enrichment workflows: Leverage LLMs, agents, Clay, and other automation tools to research companies, enrich data, and identify relevant prospects at scale.
• Personalise outbound engagement: Design AI-assisted messaging workflows that adapt to customer segments, roles, and buying triggers.
• Orchestrate multichannel outreach: Build and optimise outbound sequences across email, LinkedIn, and event invitations, testing what works.
• Own HubSpot automation and data infrastructure: Design and maintain CRM workflows, properties, integrations, and enrichment pipelines while ensuring data accuracy and consistency.
• Measure and optimise performance: Build reporting and feedback loops using HubSpot and Jira, tracking outbound effectiveness, speed, process discipline, and lead quality.
• Build scalable processes: Document workflows, experiments, and successful approaches to create repeatable systems.

Conhecimentos

Python

SQL

Data science

LLM workflows

Propensity-to-buy modelling

Analytical thinking

Experimental mindset

Automation

English communication

Ferramentas

HubSpot

Clay

Descrição da oferta de emprego

Blackwall is seeking a GTM Engineer to design, build, and continuously improve an AI-powered outbound growth engine. You’ll blend data science, automation, and commercial insight to determine who we contact, when to reach them, and how to personalise messaging at scale.

Ideal candidates combine production-ready AI experience with hands-on data science, strong Python/SQL skills, and deep HubSpot experience to own CRM automation, segmentation, and multichannel outreach.