GTM AI Engineer - Intelligent Outreach & Automation

Blackwall; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Blackwall is expanding its GTM engine and seeks an experienced GTM Engineer to design, build, and scale outbound automation. You will blend data science, AI, and commercial insight to target accounts, personalise outreach, and learn from results across channels.

Join a remote-first, international team building intelligent systems that power outbound growth and inform strategy with measurable impact.

Qualifications

• 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.

Responsibilities

• 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 actionable 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, continuously 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 that can be maintained and improved by others.

Skills

LLM workflows

Agent design

Prompt engineering

Data science

Predictive modelling

Propensity-to-buy scoring

Python

SQL

HubSpot

Clay/automation platforms

Automation systems

Analytical thinking

Documentation

English communication

Tools

HubSpot

Clay

Job description

Blackwall is expanding its GTM engine and seeks an experienced GTM Engineer to design, build, and scale outbound automation. You will blend data science, AI, and commercial insight to target accounts, personalise outreach, and learn from results across channels.

Join a remote-first, international team building intelligent systems that power outbound growth and inform strategy with measurable impact.