• Lead the Product Build: Build and manage a cross-functional engineering team responsible for connecting ApartmentIQ's rich market intelligence directly into Maven's generative content workflows. • Modern Development Practices: Champion the use of AI-assisted tooling — from Claude Code to automated testing agents — to maintain high standards of quality and velocity. • Automated Quality: Implement and refine automated code review pipelines that handle style nits, security checks, and pattern matching, ensuring human review time is spent on architecture and logic. • Architect the Solution: Design end-to-end flows where real-time market data (Postgres/PostGIS) triggers specific actions (Social Posting/Availability Updates) via our AI models. • Coach & Cultivate: Conduct regular 1:1s, fostering a culture of psychological safety, technical rigor, and "don't repeat yourself" automation. • Full Stack Ownership: Guide the evolution of our unified interface (React + Tailwind) and the API layer (Rails 7) that powers it. • Operational Excellence: Partner with Data Science to ensure data freshness and accuracy — renters rely on this data being correct, so our pipelines must be robust. • Manage the Process: Collaborate with Product on roadmap planning in Linear, ensuring we are breaking down complex integration problems into shippable wins.

• Build identity verification and fraud detection systems to scrutinize candidate data during the application process. • Develop sophisticated correlation engines that match candidate details (IPs, phone numbers, email history, resume metadata) against known indicators of fraudulent or state-sponsored activity. • Create high-availability pipelines that ingest and analyze signals from application tracking systems (ATS), identity providers, and external risk intelligence. • Ship automated guardrails that flag high-risk candidates in real-time, enabling security teams to act before an infiltrator is onboarded. • Drive 0→1 iteration: prototype quickly, test fraud detection assumptions, learn from emerging threat patterns, and scale simple, effective solutions. • Collaborate across security, platform, and data teams; write and review technical designs; and participate in core SDLC rituals.

• Design, develop and supervise electrical control systems • Installation and technical support of PLC and motor control hardware • Champion control system upgrades and equipment modernization • Provide engineering support and direction for maintenance control technicians • Manage projects including cost estimations, designs, specifications, and implementation

• Design and implement back-end services and interfaces (primarily gRPC) integrating ZEISS Inspect with fab automation frameworks and fab-level controllers • Develop software supporting wafer navigation and orchestrating end-to-end inspection workflows within semiconductor fabs • Own service-level concerns including performance, reliability, observability, fault tolerance, and secure deployment • Build and maintain automated test pipelines, including fab simulators, hardware-/system-in-the-loop testing, and CI/CD workflows • Collaborate with internal automation, controls, metrology, and computer vision teams, as well as external fab stakeholders, to gather requirements and deliver production-ready integrations • Implement and maintain logging, metrics, and distributed tracing for fab-deployed services to support operations and troubleshooting • Participate in architecture/design reviews, code reviews, and continuous improvement initiatives • Author and maintain technical design documentation, configuration guides, and operational runbooks • Support root-cause analysis and resolution of issues during fab qualification, pilot runs, and production deployments