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All Openings (3)

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Innovation Software Engineer 1

On-sitefull timeMid-LevelTennessee, United States
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Built's Mission: Connect and simplify doing business in real estate. Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry’s most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com . __________________________ Innovation Software Engineer I, Marketplace Built Technologies is the AI-first platform for construction and real estate finance, managing over $300 billion in annual capital for more than 340 lenders, including 45 of the top 100 U.S. banks. Our technology helps financial institutions and construction companies manage the movement of capital throughout construction projects, from loan draws and inspections to payments, compliance, and portfolio risk. We're bringing modern software and AI into an industry where many critical workflows still depend on spreadsheets, emails, and manual processes. This role sits on Marketplace , a business unit focused on expanding Built beyond its core software into the services surrounding construction projects, including inspections, appraisals, insurance, and materials sourcing. The team operates a little differently from a traditional engineering team. We're building the foundational technology that powers Marketplace while also experimenting with new products, getting early versions into customers' hands, and improving them based on real feedback. As an Innovation Software Engineer , you'll be part of that work from the beginning. You'll write code, build prototypes, experiment with AI-powered workflows, and learn how to turn customer problems into working software. You'll work closely with experienced engineers who will help you develop your technical skills, make sound engineering decisions, and gradually take on more ownership. This is an opportunity for an early-career engineer who loves building things, learns quickly, and wants to understand not just how software works, but why it matters to the people using it. The Team Marketplace is a small, experienced engineering team that recently became its own business unit at Built. It's a collaborative group with a strong culture of mentorship, code review, and hands-on problem solving. You'll work alongside Senior and Staff engineers, Product, Design, and business leaders, learning how new products go from an initial idea to something customers actually use. What You'll Do Build real software: Develop features, APIs, internal tools, and reusable components that support Marketplace products, working alongside experienced engineers on design, implementation, testing, and code review. Prototype new ideas: Help turn early product concepts into working prototypes and MVPs. Build quickly, learn from feedback, and improve what you've shipped. Build with AI: Use AI coding tools as part of your daily development workflow and help build AI-powered features, including document extraction, data validation, agent-driven workflows, and automation. Learn production engineering: Develop your understanding of backend services, APIs, asynchronous workflows, data models, testing, and the practices that make software reliable and maintainable. Get closer to customers: Participate in customer discovery conversations, observe how people use the products, and help translate what you learn into improvements. Improve existing products: Identify friction in workflows, fix bugs, improve usability, and help make products more reliable and valuable for customers. Automate manual work: Learn how a workflow operates before automating it, then build tools and integrations that reduce repetitive work and improve efficiency. Grow your technical ownership: Participate in code reviews, ask questions, learn from feedback, and gradually take responsibility for larger pieces of engineering work. What You'll Bring 0–2 years of experience in software engineering, product engineering, or a related technical role. Recent graduates and career changers with strong hands-on projects are encouraged to apply. Experience writing code in TypeScript, JavaScript, or Python , whether through professional work, internships, coursework, or personal projects. Familiarity with APIs, databases, and fundamental software engineering concepts. Experience using AI coding tools or experimenting with LLMs to build something, along with curiosity about how AI can be incorporated into real products. At least one project you've built that you can talk through, including the problem you were solving, how you approached it, and what you learned. A genuine interest in building software, solving problems, and understanding how your work impacts customers. Comfort learning unfamiliar technologies, asking for help, and incorporating feedback. Strong communication skills and an interest in collaborating closely with engineers, Product, and other teams. Nice to Have Experience with React, Node.js, SQL, AWS, or other cloud technologies. Exposure to LLM APIs, agent frameworks, RAG, document processing, or workflow automation. Experience building side projects, contributing to open source, participating in hackathons, or launching something people actually use. Internship or early-career experience in a startup, SaaS company, fintech, or another fast-moving technical environment. Interest in financial services, construction, real estate, payments, lending, or other complex B2B industries. What Success Looks Like at Six Months You've shipped meaningful code or contributed to a working prototype that's being used by the team or real customers. You're becoming comfortable navigating the Marketplace codebase, working with APIs and services, and following the team's engineering practices. You've contributed to an AI-powered feature or automation and are developing good judgment about how to test and validate what AI produces. You're beginning to own well-defined pieces of engineering work with less day-to-day guidance. Your teammates see you as curious, dependable, collaborative, and someone who takes feedback seriously and keeps getting better. You're developing an understanding of the customer problems Marketplace is solving and can connect your engineering work to those outcomes. AI & Technology Expectations Leverage AI tools to enhance the productivity, quality, and speed of your work. Use AI to support drafting, analysis, summarization, and problem-solving across your role. Identify opportunities to streamline workflows and reduce manual effort through automation and AI. Apply AI to sharpen decision-making and strengthen technical and product insights. Share effective AI use cases and best practices with your team. Built’s salary range for this position is $80,000-$110,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees; your total rewards package at Built will include equity, market-current medical, dental and vision coverage, an unlimited PTO policy, and other benefits. __________________________ Travel Requirement: Employees who are not based in the Nashville area are required to travel to our Nashville office at least twice per year for company gatherings, such as Connect Week. Additional travel to Nashville may be required based on your role and business needs. Perks: The rare opportunity to radically disrupt a $1.5T industry Competitive benefits including: uncapped vacation [US ONLY], medical, dental & vision insurance Robust compensation package, including equity in the form of stock options Learning Grant program to support ongoing professional development 401k with match and expedited vesting [US ONLY] Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We’re committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, disability, genetic information, or any other characteristic protected by law. Built is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation during the application process, please share with your Talent Partner or email [email protected] . Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built. Your personal data will be processed for the purposes of managing Built’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, communicating with you regarding your application (including via text message),and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Built to help manage its recruitment and hiring process on Built’s behalf. Your personal data will also be shared with Grayscale Labs, Inc., a cloud services provider located in the United States of America and engaged by Built Technologies to facilitate candidate communications, including text messaging.Your personal data will be retained by Built as long as Built determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. Built Privacy Policy By providing your phone number, you consent to receive text messages from Built related to your application. Message and data rates may apply. You may opt out at any time by replying STOP. If you would like to contact Built to ask questions surrounding processing of your personal data or to make a request, you can send an email to [email protected] . California residents: Please note that Built does not sell your personal data. For details on how your data is shared with our service providers, please see our Privacy Policy .

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Software Engineering
Verified1 day ago

Senior Engineering Manager, Data Platform

On-sitefull timeSeniorTennessee, United States
Apply Now

Built's Mission: Connect and simplify doing business in real estate. Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry’s most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com . __________________________ Built is looking for a Senior Engineering Manager, Data to lead our growing data organization. In this role, you will guide a high-impact group of engineers building the industry's first holistic real estate data engine that powers analytics, decisioning, workflow automation, and new product capabilities across our platform. You will lead the data engineering team responsible for building and operating foundational data capabilities across Built, including ingestion, modeling, governance, reliability, and self-serve analytics. Your team will enable product teams and business stakeholders to confidently use data to drive outcomes, while maintaining high standards for security, quality, and performance. This is a hands-on, player-coach leader who can set technical direction, grow talent, and deliver durable systems at scale, while partnering closely with Product, Analytics, and Engineering peers. This is an opportunity to lead a team building core infrastructure that shapes the company's future. You will influence how Built captures, normalizes, and activates the most critical data in our industry, with autonomy, executive visibility, and room to innovate. If you enjoy building platforms, raising engineering maturity, and scaling both teams and systems, this role sits at that intersection. Challenge Real estate finance data is complex. It is high-volume, multi-source, time-sensitive, and often messy. The challenge is to build a data engine that is: Trusted: accurate, governed, explainable Fast: optimized performance and cost, low latency where it matters Composable: clean models that scale with new products Self-serve: enables Product, Analytics, and GTM teams Reliable: observable, resilient, and operationally excellent Responsibilities Lead and grow the team 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 Own the data platform strategy 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 Deliver high-quality systems 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 Partner cross-functionally 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 Be a hands-on player-coach 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 Qualifications Required 5+ years of experience in an engineering management role leading teams in a fast-paced, high-growth environment Direct experience leading a data engineering or data platform team specifically, not just general engineering management Proven ability to scale teams and systems through hiring, process, architecture, and delivery Excellent communication and collaboration skills across technical and non-technical stakeholders Passion for fostering a culture of innovation, learning, and continuous improvement Player-coach mindset with prior experience as an individual contributor Hands-on familiarity with Snowflake, DBT, or Sigma (deep experience in at least one) Experience building modern data platforms, including ELT, modeling layers, governance, and self-serve analytics Travel Requirement : This role should expect to travel approximately five to six times per year, including two company-wide Connect Weeks and additional PD&E leadership travel weeks to Nashville, TN or another designated location. Exact cadence varies based on business needs and role responsibilities. Preferred Experience with streaming data patterns and event-driven architectures using Kafka Experience operating production systems in AWS and partnering closely with platform and SRE teams Exposure to AI/ML or data science workflows: you'll oversee a staff engineer focused on AI/ML, but hands-on AI/ML experience is a plus, not a requirement Comfort working in TypeScript and Python ecosystems for data-adjacent services and tooling Familiarity with data quality testing, lineage, observability, and access control patterns Built’s salary range for this position is $225,000 - 265,000 USD per year. The pay range is designed to accommodate upward mobility in the role; therefore, it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees; your total rewards package at Built will include equity, market-current medical, dental and vision coverage, an unlimited PTO policy, and other benefits. __________________________ Travel Requirement: Employees who are not based in the Nashville area are required to travel to our Nashville office at least twice per year for company gatherings, such as Connect Week. Additional travel to Nashville may be required based on your role and business needs. Perks: The rare opportunity to radically disrupt a $1.5T industry Competitive benefits including: uncapped vacation [US ONLY], medical, dental & vision insurance Robust compensation package, including equity in the form of stock options Learning Grant program to support ongoing professional development 401k with match and expedited vesting [US ONLY] Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We’re committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, disability, genetic information, or any other characteristic protected by law. Built is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation during the application process, please share with your Talent Partner or email [email protected] . Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built. Your personal data will be processed for the purposes of managing Built’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, communicating with you regarding your application (including via text message),and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Built to help manage its recruitment and hiring process on Built’s behalf. Your personal data will also be shared with Grayscale Labs, Inc., a cloud services provider located in the United States of America and engaged by Built Technologies to facilitate candidate communications, including text messaging.Your personal data will be retained by Built as long as Built determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. Built Privacy Policy By providing your phone number, you consent to receive text messages from Built related to your application. Message and data rates may apply. You may opt out at any time by replying STOP. If you would like to contact Built to ask questions surrounding processing of your personal data or to make a request, you can send an email to [email protected] . California residents: Please note that Built does not sell your personal data. For details on how your data is shared with our service providers, please see our Privacy Policy .

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Engineering Management
Verified16 days ago

Senior Engineering Manager, Data Platform

Remotefull timeSeniorWorldwide (Remote)
Apply Now

Built's Mission: Connect and simplify doing business in real estate. Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry’s most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com . __________________________ Built is looking for a Senior Engineering Manager, Data to lead our growing data organization. In this role, you will guide a high-impact group of engineers building the industry's first holistic real estate data engine that powers analytics, decisioning, workflow automation, and new product capabilities across our platform. You will lead the data engineering team responsible for building and operating foundational data capabilities across Built, including ingestion, modeling, governance, reliability, and self-serve analytics. Your team will enable product teams and business stakeholders to confidently use data to drive outcomes, while maintaining high standards for security, quality, and performance. This is a hands-on, player-coach leader who can set technical direction, grow talent, and deliver durable systems at scale, while partnering closely with Product, Analytics, and Engineering peers. This is an opportunity to lead a team building core infrastructure that shapes the company's future. You will influence how Built captures, normalizes, and activates the most critical data in our industry, with autonomy, executive visibility, and room to innovate. If you enjoy building platforms, raising engineering maturity, and scaling both teams and systems, this role sits at that intersection. Challenge Real estate finance data is complex. It is high-volume, multi-source, time-sensitive, and often messy. The challenge is to build a data engine that is: Trusted: accurate, governed, explainable Fast: optimized performance and cost, low latency where it matters Composable: clean models that scale with new products Self-serve: enables Product, Analytics, and GTM teams Reliable: observable, resilient, and operationally excellent Responsibilities Lead and grow the team 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 Own the data platform strategy 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 Deliver high-quality systems 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 Partner cross-functionally 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 Be a hands-on player-coach 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 Qualifications Required 5+ years of experience in an engineering management role leading teams in a fast-paced, high-growth environment Direct experience leading a data engineering or data platform team specifically, not just general engineering management Proven ability to scale teams and systems through hiring, process, architecture, and delivery Excellent communication and collaboration skills across technical and non-technical stakeholders Passion for fostering a culture of innovation, learning, and continuous improvement Player-coach mindset with prior experience as an individual contributor Hands-on familiarity with Snowflake, DBT, or Sigma (deep experience in at least one) Experience building modern data platforms, including ELT, modeling layers, governance, and self-serve analytics Travel Requirement : This role should expect to travel approximately five to six times per year, including two company-wide Connect Weeks and additional PD&E leadership travel weeks to Nashville, TN or another designated location. Exact cadence varies based on business needs and role responsibilities. Preferred Experience with streaming data patterns and event-driven architectures using Kafka Experience operating production systems in AWS and partnering closely with platform and SRE teams Exposure to AI/ML or data science workflows: you'll oversee a staff engineer focused on AI/ML, but hands-on AI/ML experience is a plus, not a requirement Comfort working in TypeScript and Python ecosystems for data-adjacent services and tooling Familiarity with data quality testing, lineage, observability, and access control patterns Built’s salary range for this position is $225,000 - 265,000 USD per year. The pay range is designed to accommodate upward mobility in the role; therefore, it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees; your total rewards package at Built will include equity, market-current medical, dental and vision coverage, an unlimited PTO policy, and other benefits. __________________________ Travel Requirement: Employees who are not based in the Nashville area are required to travel to our Nashville office at least twice per year for company gatherings, such as Connect Week. Additional travel to Nashville may be required based on your role and business needs. Perks: The rare opportunity to radically disrupt a $1.5T industry Competitive benefits including: uncapped vacation [US ONLY], medical, dental & vision insurance Robust compensation package, including equity in the form of stock options Learning Grant program to support ongoing professional development 401k with match and expedited vesting [US ONLY] Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We’re committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, disability, genetic information, or any other characteristic protected by law. Built is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation during the application process, please share with your Talent Partner or email [email protected] . Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built. Your personal data will be processed for the purposes of managing Built’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, communicating with you regarding your application (including via text message),and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Built to help manage its recruitment and hiring process on Built’s behalf. Your personal data will also be shared with Grayscale Labs, Inc., a cloud services provider located in the United States of America and engaged by Built Technologies to facilitate candidate communications, including text messaging.Your personal data will be retained by Built as long as Built determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. Built Privacy Policy By providing your phone number, you consent to receive text messages from Built related to your application. Message and data rates may apply. You may opt out at any time by replying STOP. If you would like to contact Built to ask questions surrounding processing of your personal data or to make a request, you can send an email to [email protected] . California residents: Please note that Built does not sell your personal data. For details on how your data is shared with our service providers, please see our Privacy Policy .

View more...
Engineering Management
Verified16 days ago