Software Engineering Manager

Smart Capital Center is an AI-powered platform transforming Commercial Real Estate investment and financial management. We are looking for an Engineering Manager who combines strong technical leadership with exceptional people management and execution, remaining deeply involved in technical direction, architecture, AI adoption, and engineering excellence.

• Lead, mentor, and grow a team of high-performing software engineers.
• Build a culture of ownership, accountability, technical excellence, and continuous learning.
• Recruit, hire, and retain exceptional engineering talent.
• Coach engineers through regular one-on-ones, performance feedback, and career development.
• Foster psychological safety while maintaining high performance standards.
• Develop future technical leaders within the organization.
• Drive technical direction alongside senior engineers and architects.
• Review system architecture and technical designs.
• Guide architectural decisions that improve scalability, reliability, maintainability, and security.
• Balance long-term platform evolution with near-term product delivery.
• Establish engineering standards, coding practices, testing strategies, and documentation expectations.
• Drive continuous improvement across engineering processes and developer experience.
• Partner with AI engineers to build and operate AI-powered product capabilities.
• Establish best practices for integrating Large Language Models (LLMs) into production systems.
• Promote responsible AI engineering, including evaluation, monitoring, security, and governance.
• Drive adoption of AI-assisted software development tools to improve engineering productivity.
• Evaluate emerging AI technologies and recommend practical adoption where they create measurable business value.
• Help engineers effectively leverage modern AI development tools including GitHub Copilot, Cursor, Claude Code, and similar platforms.
• Own engineering execution across multiple initiatives and product domains.
• Partner with Product Managers to define roadmaps, priorities, estimates, and delivery plans.
• Remove blockers and enable teams to execute efficiently.
• Drive predictable software delivery without compromising engineering quality.
• Continuously improve planning, estimation, release management, and Agile execution.
• Ensure successful delivery of customer-facing features and internal platform improvements.
• Drive improvements in platform reliability, scalability, observability, and operational excellence.
• Improve CI/CD pipelines, automated testing, deployment processes, and developer productivity.
• Establish engineering metrics including deployment frequency, lead time, reliability, defect rates, and operational health.
• Promote ownership of production systems and operational excellence.
• Support incident response, root cause analysis, and continuous improvement initiatives.
• Partner closely with Product, UX, AI, Data, and Customer Success teams.
• Communicate technical strategy and project status to stakeholders.
• Align engineering priorities with company objectives.
• Participate actively in product planning and strategic decision making.

• Significant experience building and delivering production software.
• Experience leading software engineering teams in fast-moving environments.
• Proven success hiring, mentoring, and developing engineers.
• Strong coaching, communication, and organizational skills.
• Demonstrated ability to build high-performing engineering teams.
• Ability to influence across technical and business organizations.
• Strong experience building and shipping modern full-stack applications.
• Expertise with modern frontend technologies including React, TypeScript, and JavaScript.
• Strong backend experience using Java/Spring Boot and/or Python.
• Experience designing scalable APIs and distributed systems.
• Strong understanding of relational databases (PostgreSQL preferred).
• Experience building cloud-native applications on AWS or similar cloud platforms.
• Solid understanding of software architecture, security, scalability, and system reliability.
• Experience building, integrating, or operating AI-powered applications.
• Understanding of LLMs, prompt engineering, structured outputs, tool/function calling, and Retrieval-Augmented Generation (RAG).
• Familiarity with vector databases, embeddings, semantic search, or AI orchestration frameworks is a plus.
• Experience using AI-assisted software development tools to improve engineering productivity.
• Ability to evaluate emerging AI technologies and drive practical adoption across engineering teams.
• Understanding of AI security, governance, and responsible AI practices.
• Experience leading Agile software development.
• Strong understanding of modern software delivery practices.
• Experience balancing engineering quality with delivery speed.
• Ability to manage multiple priorities in a fast-paced environment.
• Data-driven approach to planning, execution, and continuous improvement.
• Experience defining and tracking engineering performance metrics.

• Lead engineering for an AI-native platform transforming Commercial Real Estate.
• Shape engineering culture, architecture, and technical strategy.
• Build products used by leading financial institutions.
• Work directly with founders and executive leadership.
• Solve complex challenges across AI, financial modeling, and large-scale data.
• Build an engineering organization where AI accelerates both product innovation and developer productivity.
• Operate with high ownership, rapid decision-making, and minimal bureaucracy.