Built

Customer Support

• Provide timely, effective support via phone, email, and chat, troubleshooting technical issues and clearly communicating solutions.
• Escalate complex issues to senior team members as needed.
• Collect data using monitoring and support tools to identify root causes and drive resolutions.
• Log and categorize incidents in a ticketing system to extract valuable customer and product insights.
• Document resolutions and contribute to improving internal and customer-facing knowledge bases.
• Continuously expand your understanding of Built's products, services, and tools.
• Advocate for customers and provide insights to enhance their experience.
• Maintain professionalism and confidentiality in all customer interactions.
• Meet performance metrics, including response time and customer satisfaction.
• Collaborate with the team to streamline support processes and raise standards.

Client Support Representative

Data Engineer

• Lead the design and delivery of Built’s application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns.
• Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies.
• Partner with Product to shape ambiguous ideas into useful customer workflows, challenge low-value requirements, and offer practical alternatives.
• Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences.
• Bring strong software engineering practices into a data-heavy team through technical design, code review, mentoring, testing, and delivery patterns.
• Help data engineers take on more software engineering work across frontend, backend, APIs, product decomposition, and production readiness.
• Collaborate across Built where data products integrate with application surfaces, platform capabilities, agents, or customer workflows.
• Use customer signals, usage data, product feedback, support issues, and discovery learnings to guide engineering decisions.

Staff Software Engineer, Data Platform

Full-stack Engineer

• Own end-to-end campaign execution for the lender business in HubSpot, including email, lifecycle, nurture, paid ads, routing, and lead management programs
• Build, launch, measure, and optimize campaigns based on performance and pipeline impact
• Own day-to-day operation and optimization of the GTM tech stack (HubSpot, Clay, AirOps, Lemlist)
• Build and maintain lead scoring models, routing logic, lifecycle stages, and SLAs
• Ensure data quality, attribution accuracy, and system reliability across GTM systems
• Partner closely with Marketing, Sales and Product Marketing to operationalize GTM strategy into execution
• Design, improve, build and maintain automated workflows using tools like n8n, Lemlist, Clay, and AirOps
• Build AI-powered enrichment, outbound, and intent-detection pipelines
• Rapidly prototype, test, and iterate on GTM experiments to improve conversion and efficiency
• Own marketing attribution, pipeline analytics, and GTM performance reporting
• Build and maintain dashboards and automated reporting pipelines (Salesforce, HubSpot, Sheets, Looker or similar)
• Create playbooks, SOPs, and documentation for GTM systems, campaigns, and workflows
• Train and enable Marketing and Revenue teams on tools, processes, and best practices
• Establish guardrails and operating models to ensure adoption, consistency, and trust in GTM systems
• Act as the internal owner for 'how we run Marketing GTM'

Client Support Representative

Staff Software Engineer, Data Platform

GTM Engineer