Built

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
• Integrate GTM tools and data sources via APIs and automation platforms
• Replace manual, repetitive processes with scalable, reliable workflows
• 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

GTM Engineer

Machine Learning Engineer

• Build and operationalize the infrastructure that allows machine learning to run reliably in production.
• Architect and implement Built’s foundational ML Ops platform from scratch
• Define and deploy reusable patterns for model training, deployment, monitoring, and retraining
• Build CI/CD pipelines for ML lifecycle automation, including versioning and experimentation tracking
• Stand up a feature store integrated with Snowflake and AWS to support structured and unstructured data
• Implement model registry and governance standards to ensure reproducibility, auditability, and rollback capability
• Integrate ML workloads into our event-driven architecture (Kafka, Kinesis)
• Develop observability frameworks to monitor drift, performance, latency, and model quality in production
• Automate ML infrastructure using Terraform and AWS-native tooling (SageMaker, Lambda, ECS, Batch, Step Functions)
• Establish security and compliance standards across ML assets, including data lineage and access control
• Mentor engineers on ML Ops patterns and deployment best practices

Senior Machine Learning Operations Engineer

Software Engineer

• Design, build, and maintain native iOS (Swift / SwiftUI) and Android (Kotlin / Jetpack Compose) applications
• Own the Built Inspection Application end-to-end, including architecture, quality, stability, and long-term scalability
• Lead complex feature development from concept through production and post-launch support
• Architect secure, performant, and maintainable mobile solutions
• Ensure strong standards for testing, observability, performance, accessibility, and offline/data-sync behavior
• Define and drive mobile engineering standards across Built, including architecture patterns, tooling, CI/CD, testing, and release processes
• Make thoughtful technical decisions that balance delivery speed with long-term platform health
• Proactively identify and address technical debt, platform risks, and scalability concerns
• Act as a subject-matter expert for mobile engineering across the company
• Partner closely with Product and Design to translate business needs into high-quality mobile experiences
• Collaborate with Backend and Platform teams to define APIs and end-to-end system behavior
• Influence product and technical roadmaps through feasibility assessments and tradeoff analysis
• Mentor and support other engineers through code reviews, design reviews, and knowledge sharing
• Help raise the overall engineering bar across the organization
• Contribute to hiring, onboarding, and the growth of mobile engineering talent at Built

Staff Mobile Engineer

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 client-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

Engineering Manager

• Coach engineers through clear expectations, feedback, and career development
• Hire and retain top talent and build a high-performance, inclusive culture
• Establish strong delivery and operational rituals, including planning, retrospectives, and incident reviews
• Define and evolve the architecture for ingestion, transformation, orchestration, governance, and data products
• Drive a roadmap that balances foundational platform investments with product delivery needs
• Champion best practices, including dbt patterns, data contracts, testing, and documentation
• Ensure pipelines and models are accurate, observable, secure, and scalable
• Improve reliability through alerting, SLAs and SLOs, runbooks, and root-cause analysis
• Partner with platform engineering on deployment patterns, cost optimization, and environment strategy
• Collaborate with Product, Analytics, Security, and Engineering leaders to ensure data enables customer and business outcomes
• Communicate clearly with stakeholders on tradeoffs, risks, and timelines
• Influence the broader organization on data quality, trust, and accountability
• Stay close to the work through architecture reviews, pairing, design docs, and occasional implementation
• Bring strong judgment to tooling and build-versus-buy decisions across Snowflake, DBT, and Sigma

Senior Data Engineering Manager

Solutions Engineer

• Own the technical evaluation phase of the sales cycle for owner and developer prospects, from discovery through solution validation
• Partner with Sales to deeply understand and redesign complex real estate development workflows—including pre-development, construction, draw management, and reporting—within Built’s platform
• Conduct detailed discovery to assess:
• Current systems and tools (ERP, construction management, payments platforms)
• Stakeholder pain points, gaps, and success criteria
• Integration, reporting, and data requirements
• Design and deliver tailored, high-impact product demonstrations for executive, finance, and operational stakeholders
• Clearly articulate how Built’s solutions:
• Improve operational efficiency and transparency
• Reduce financial risk and administrative burden
• Drive better outcomes for debt and equity stakeholders
• Build and present ROI-based financial models that quantify value and business impact
• Establish credibility as a real estate development and construction finance expert with a strong understanding of:
• Development and construction-phase financial controls
• Owner and developer reporting requirements
• Risk management and compliance considerations
• Build trusted relationships with prospective and existing clients, including C-suite and senior leadership stakeholders
• Support Client Success during implementation and post–go-live by helping resolve complex workflow, reporting, or integration challenges
• Partner with Product & Engineering to:
• Assess configuration and integration requirements
• Share insights into recurring client pain points, emerging trends, and evolving owner/developer needs
• Influence enhancements to reporting, monitoring, and controls specific to OGC use cases
• Collaborate cross-functionally to ensure alignment across Sales, Product, and Client Success on:
• Go-to-market messaging
• Product positioning
• Demo strategy and execution
• Contribute subject matter expertise internally through:
• New hire onboarding and training
• Ongoing sales and solutions enablement
• Best-practice documentation and playbooks
• Represent Built externally by:
• Participating in national and regional industry conferences
• Serving as a proptech and owner/developer solutions expert
• Sharing industry insights, lessons learned, and customer success stories
• Support cross-promotion of Built’s owner/developer solutions alongside construction lending offerings for banks and non-bank lenders

Senior Solution Engineer

Account Manager

• Build relationships and reinforce value proposition to executives in client base
• Develop and execute an account support and growth strategy within assigned accounts
• Understand the client’s business through excellent discovery and interactions
• Reinforce the Built value proposition in a clear and compelling manner to C-suite executives
• Identify additional users, stakeholders, and build business cases for further adoption
• Provide the highest level of support and partnership with clients
• Identify and execute on growth opportunities
• Host Quarterly or Annual Business reviews
• Manage renewals and mitigate churn
• Coordinate with internal teams to ensure great client experience

Compliance

• Respond to and manage client security assessments, questionnaires, and due-diligence requests.
• Provide compliance documentation and evidence through Built’s Trust Center.
• Participate in client review meetings and coordinate internal follow-ups as needed.
• Coordinate the full lifecycle of Built’s annual SOC 1 and SOC 2 audits, including evidence collection, stakeholder scheduling, and auditor communication.
• Maintain Built’s control environment within Drata and ensure ongoing audit readiness.
• Administer Built’s Trust Center (Conveyor), ensuring documents, policies, and audit materials are accurate and up-to-date.
• Manage client access requests and support users with navigation and content inquiries.
• Support annual payments compliance activities (e.g., AML/Sanctions training, Nacha audit) in partnership with external consultants and internal stakeholders.
• Conduct periodic internal reviews of payments processes to ensure adherence to policies and partner expectations.
• Manage the lifecycle of Built’s policies and procedures, ensuring updates, annual reviews, and publication to the Trust Center.
• Maintain core compliance documentation, including audit records, incident logs, attestations, and internal reporting.
• Support ongoing monitoring and upkeep of compliance and security controls across the organization.
• Track and coordinate recurring compliance tasks managed through Jira automations.
• Partner with Learning & Development to manage annual and onboarding compliance/security training and ensure completion across the organization.
• Participate in vendor reviews within the procurement process and maintain the Significant Vendor Index.
• Support the annual enterprise risk assessment and track mitigation activities.
• Manage inbound data subject access requests (DSARs) and coordinate responses in alignment with regulatory and internal requirements.

Risk & Compliance Manager

Customer Success Manager

• Partner deeply with your assigned Strategic Account Manager to co-own the full account strategy.
• Serve as the long-term, single-threaded owner of value realization for 2–4 enterprise accounts with $2M+ ARR each.
• Act as a trusted advisor to client executives across Finance, Technology, Operations, and Risk.
• Develop and execute tailored Strategic Account Success Plans that align Built’s value with client objectives.
• Lead executive CBRs and strategic roadmap sessions with C-level client stakeholders.
• Surface and elevate critical needs across the client org, influencing Built’s internal roadmap through direct advocacy.
• Act as the internal quarterback coordinating Product, Engineering, Support, and Implementation to deliver results that matter.
• Manage multi-threaded workstreams, leading complex rollouts, integration projects, and cross-functional escalations.
• Establish and drive structured governance models across each client (steering committees, working groups, etc.).
• Ensure continuity and consistency of engagement across all touchpoints.
• Represent Built at industry forums, roundtables, and client advisory boards as a thought partner in enterprise lending.
• Build a personal brand of excellence and become indispensable to your accounts, serving as a known entity across all levels of the client organization.

Strategic Client Success Manager

Security Engineer

• Lead the design and implementation of secure architectures for Built’s applications, services, and AI/ML initiatives.
• Embed security throughout the development lifecycle by partnering with engineering teams on threat modeling, secure coding best practices, and design reviews.
• Conduct technical security reviews—including code assessments, dependency analysis, and architectural risk evaluations—to proactively identify and remediate vulnerabilities.
• Champion secure and responsible AI usage across Built’s product ecosystem.
• Drive security controls that address AI-specific risks such as prompt injection, data poisoning, insecure model integrations, and model-exploitation paths.
• Guide engineering and product teams on safe deployment patterns, monitoring, and ongoing validation of AI systems.
• Perform internal penetration testing of applications, networks, and features to uncover weaknesses before attackers do.
• Support planning and execution of external third-party penetration tests, ensuring findings are triaged and addressed effectively.
• Participate in application-security–focused incident response activities, including investigation, containment, and root-cause analysis.
• Conduct ongoing security research and maintain awareness of emerging threats, especially those relevant to cloud-native systems and AI/ML technologies.
• Mentor engineers and security team members, driving adoption of security-first principles and scalable secure-by-default patterns.
• Influence cross-functional teams through technical leadership, helping define security standards, guardrails, tooling, and long-term security strategy.
• Promote a culture of high trust, continuous learning, and technical excellence.