
51 - 200 employees
🤖 Artificial Intelligence
🏠 Real Estate
☁️ SaaS
Artificial Intelligence • Real Estate • SaaS
SITE Technologies is a company that offers advanced AI-powered facility assessment solutions for commercial, industrial, and retail property owners. Their platform provides detailed, data-driven recommendations for facility improvements, enabling clients to optimize their resource allocation and reduce operational costs. Utilizing cutting-edge data capture technologies such as drones, satellites, and thermal imaging, SITE Technologies delivers comprehensive property insights. Their tools manage the end-to-end process of Request for Proposals (RFPs) and provide high-resolution data mapping to support accurate decision-making. SITE Technologies bridges the gap between AI efficiencies and human expertise to enhance property maintenance and management.
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51 - 200 employees
🤖 Artificial Intelligence
🏠 Real Estate
☁️ SaaS
Artificial Intelligence • Real Estate • SaaS
SITE Technologies is a company that offers advanced AI-powered facility assessment solutions for commercial, industrial, and retail property owners. Their platform provides detailed, data-driven recommendations for facility improvements, enabling clients to optimize their resource allocation and reduce operational costs. Utilizing cutting-edge data capture technologies such as drones, satellites, and thermal imaging, SITE Technologies delivers comprehensive property insights. Their tools manage the end-to-end process of Request for Proposals (RFPs) and provide high-resolution data mapping to support accurate decision-making. SITE Technologies bridges the gap between AI efficiencies and human expertise to enhance property maintenance and management.
• Lead the technical design and hands-on implementation of core backend APIs and services, primarily in Python and FastAPI • Set architectural direction for domain models, relational schemas, service boundaries, data consistency, and API contracts • Translate product priorities into well-scoped delivery plans, milestones, and technical decisions • Personally lead critical-path development, code reviews, release planning, and incident response • Set and maintain high standards for testing, CI/CD, observability, security, performance, and production reliability • Build reliable integrations across geospatial, media, reporting, asset management, and third-party vendor systems • Develop and maintain ETL and data migration processes for imagery, geospatial, and operational data • Directly manage 3 to 4 senior backend engineers through regular one-on-ones, feedback, performance management, and career development, while overseeing nearshore engineers or consultants as needed • Delegate work effectively, remove delivery blockers, and ensure the team ships high-quality backend systems predictably • Partner with product, frontend, data, operations, and QA teams to prioritize tradeoffs and deliver customer value • Hire, onboard, mentor, and develop strong backend engineers.
• 7+ years of experience in backend development, with strong proficiency in Python • Demonstrated experience as a hands-on technical lead while directly managing engineers • Very strong ability to reason from first principles about backend architecture, workflow modeling, API boundaries, data consistency, security, and operational failure modes • Strong product judgment and ability to turn ambiguous business needs into clear technical plans and deliverable milestones • Proven ability to mentor senior engineers, give direct feedback, and raise team performance • Strong communication skills and ability to lead across product, frontend, data, operations, and business teams • Experience building production APIs with FastAPI or similar Python frameworks • Strong understanding of relational data modeling, PostgreSQL, SQLAlchemy or comparable ORM libraries, and database migration tools such as Alembic or Flyway • Experience with AWS backend services such as ECS, Lambda, RDS, S3, IAM, and related services • Experience with Docker, Git, and designing and maintaining CI/CD pipelines with GitHub Actions, AWS CodePipeline, or similar tools • Practical fluency with AI coding agents such as Claude Code and Cursor.
• Generous paid vacation and separate sick time banks. • Ten (10) Company holidays off plus two (2) floating holidays. • Two (2) paid days per year to do volunteer work. • Paid parental leave benefits available after ninety (90) days of employment. • Employee health, dental, vision, life and short-term disability coverage at no cost available on the first of the month after your hire date. • 401K plan with a 4% employer safe harbor contribution.
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