GTM Engineer

Blackwall

. Develop and maintain dynamic Ideal Customer Profiles, account segmentation, and propensity-to-buy models using CRM, firmographic, and engagement data .

Posted 11/9/2026full-timeRemoteMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI-powered solutions and predictive modeling to enhance customer engagement and account segmentation. Proficient in utilizing Python, SQL, and HubSpot to create scalable automation systems and actionable insights.

Highest-signal resume keywords

AI Solution DevelopmentPredictive ModellingPython ProficiencyHubSpot ExpertiseData Science Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModellingPropensity-To-Buy ScoringFeature EngineeringModel ValidationPrompt EngineeringData AnalysisAutomation System DesignAccount SegmentationWorkflow DocumentationLead Quality Tracking

Soft Skills

Analytical ThinkingExperimental MindsetOwnershipClear Communication

Tools & Technologies

HubSpotPythonSQLClayJiraLLMsCRM SystemsSales Engagement Platforms

Industry Keywords

B2B SaaSCybersecurityTechnology CompaniesMultichannel Outbound Strategies

Tech Stack

Tools & technologies

Cyber SecurityPythonSQL

About the role

Key responsibilities & impact

Develop and maintain dynamic Ideal Customer Profiles, account segmentation, and propensity-to-buy models using CRM, firmographic, and engagement data
Use Python, SQL, and predictive modelling to identify high-potential accounts, detect buying signals, and make actionable insights available in HubSpot
Build AI-powered research and enrichment workflows using LLMs, agents, Clay, and other automation tools
Design AI-assisted messaging workflows personalized to customer segments, roles, and buying triggers
Build and optimize multichannel outbound sequences across email, LinkedIn, and event invitations
Design and maintain HubSpot workflows, properties, integrations, and enrichment pipelines
Ensure CRM data accuracy and consistency
Build reporting and feedback loops using HubSpot and Jira
Track outbound effectiveness, speed, process discipline, and lead quality
Document workflows, experiments, and successful approaches to create repeatable, scalable systems

Requirements

What you’ll need

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 ability to translate technical findings into actionable business recommendations
Experimental mindset, strong ownership, and ability to build solutions rather than simply operate existing tools
Ability to document technical processes clearly and make them reusable
Fluent English communication skills
Experience with B2B SaaS, cybersecurity, or technology companies is nice to have
Knowledge of multichannel outbound strategies and sales engagement platforms is nice to have
Spanish language skills are nice to have

Benefits

Comp & perks

International, remote-first environment
Ownership and autonomy
Diverse and inclusive environment
Opportunity to build an AI-powered GTM engine from the ground up
Measurable impact on opportunity identification, prospect engagement, and international growth
Opportunity to join during Blackwall’s next phase of growth following its $100 million Series C funding round