Top Tech Jobs & Startup Jobs

Develop backend services, APIs, internal tools, prototypes, and AI-powered workflows for Marketplace products. Collaborate with experienced engineers, Product, Design, and customers to test ideas, improve existing products, automate manual processes, and deliver reliable software. Participate in testing, code reviews, customer discovery, and production engineering while gradually taking ownership of larger engineering projects.

Design and deliver revenue enablement training for sales and customer-facing teams. Create playbooks, sales collateral, and learning resources; assess skill gaps; partner with sales, product marketing, and revenue operations; and analyze metrics such as completion, engagement, ramp time, and win rates. The role independently manages enablement programs end-to-end, applies AI to improve content and analytics, and connects training initiatives to measurable revenue outcomes.

The Enterprise Account Executive will lead complex enterprise sales cycles in real estate finance, working with executives to modernize lending processes with Built's solutions.

Lead and grow a data engineering team to build a trusted, fast, composable, and self-serve data platform. Define architecture and roadmap for ingestion, transformation, governance, and analytics; ensure reliability, observability, and security; partner cross-functionally with Product, Analytics, Security, and Engineering; be a hands-on player-coach delivering scalable data systems using Snowflake, dbt, and self-serve analytics.

Own revenue operations processes across pipeline, deal desk, billing, forecasting, and customer lifecycle handoffs. Analyze and reconcile Salesforce, deal, billing, and financial data; improve reporting accuracy and forecast reliability; resolve operational gaps; and support territory, quota, and revenue planning. Partner cross-functionally with Sales, Marketing, Finance, Deal Desk, and Customer Success. Use AI and automation to streamline workflows, validate data, surface anomalies, and reduce manual effort.

Owns the strategy and roadmap for data capabilities, including embedded analytics, reporting, dashboards, exports, integrations, and AI data foundations. Partners with engineering and product teams on data models, pipelines, quality, metric definitions, and source data capture. Translates customer needs into requirements, drives adoption and impact, supports sales and customer success, and ensures accurate, consistent data products for lenders, owners, and contractors.

Own integrated campaign strategy for Owners, Developers, and General Contractors. Develop audience-focused messaging, creative direction, content briefs, channel plans, and measurable success criteria. Partner with Sales, Growth, GTM Engineering, Events, ABM, Communications, Enablement, Product, and Creative teams to launch and optimize multi-channel campaigns. Use customer insights, intent signals, and performance data to drive demand, pipeline, product adoption, and expansion.

Lead complex SaaS implementations for enterprise lending clients, managing scope, risks, timelines, stakeholder relationships, escalations, and successful go-lives. Translate lending workflows into implementation roadmaps, identify process improvements, track performance metrics, and collaborate with Sales, Product, and Engineering. Provide informal guidance to junior implementation managers and use AI tools to improve planning, communication, automation, and decision-making.

Designs and delivers scalable backend and full-stack software for a construction lending platform. Responsibilities include building APIs and services, modeling and optimizing databases, deploying AWS systems, leading refactors and upgrades, collaborating cross-functionally, improving code quality, troubleshooting production systems, and mentoring junior engineers. The role uses microservices, React, TypeScript, Python or NestJS, DynamoDB, MySQL, Kubernetes, Docker, and infrastructure-as-code tools.

Own complex SaaS implementations from kickoff through stabilization, advising clients on organizational change, training, adoption, and transformation. Develop implementation methodologies, playbooks, and frameworks; lead cross-functional workstreams with Product, Engineering, and Solutions Consulting; resolve escalations; track implementation health metrics; mentor implementation managers; and promote AI and automation to improve delivery quality and efficiency.