{"id":3466774,"url":"https://alion.io/job/spacequant-ai-head-of-engineering","title":"AI Head of Engineering","company":{"id":4486791,"name":"SpaceQuant","domain":"spacequant.com","url":"https://alion.io/company/spacequant","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":91000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":4188},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"JavaScript","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Semantic Search","optional":false},{"name":"Spring Boot","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Datadog","optional":true},{"name":"Docker","optional":true},{"name":"Grafana","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-05T23:02:31Z","employer_posted_date":null,"last_verified_at":"2026-10-05T23:02:31Z","board_verified":false,"closed_at":null,"days_open":26,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":26},"description":"Smart Capital Center is an AI-powered platform transforming Commercial Real Estate (CRE) investment and financial management. Our platform combines real-time market data, financial modeling, workflow automation, and Generative AI to power underwriting, asset management, and portfolio analytics.\n\nOperating at the intersection of AI, finance, and commercial real estate, we are building software that replaces manual, spreadsheet-driven workflows with intelligent, scalable systems.\n\nOur clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance engineering organization solving complex problems in a $17 trillion industry.\n\nLearn more at www.smartcapitalcenter.com\n\nThe Role\n\nWe are looking for an Engineering Manager who combines strong technical leadership with exceptional people management and execution.\n\nThis is a hands-on leadership role. While your primary responsibility is building and leading a high-performing engineering team, you will remain deeply involved in technical direction, architecture, AI adoption, and engineering excellence.\n\nYou will partner closely with Product, Design, Data, AI, and executive leadership to translate business objectives into scalable technical solutions while fostering an engineering culture centered on ownership, innovation, continuous improvement, and rapid execution.\n\nAs an engineering leader, you will help shape not only what we build, but how we build it—leveraging AI to improve both our products and our engineering processes.\n\nWhat You'll Do\n\nEngineering Leadership\n\nLead, mentor, and grow a team of high-performing software engineers.\n\nBuild a culture of ownership, accountability, technical excellence, and continuous learning.\n\nRecruit, hire, and retain exceptional engineering talent.\n\nCoach engineers through regular one-on-ones, performance feedback, and career development.\n\nFoster psychological safety while maintaining high performance standards.\n\nDevelop future technical leaders within the organization.\n\nTechnical Leadership\n\nDrive technical direction alongside senior engineers and architects.\n\nReview system architecture and technical designs.\n\nGuide architectural decisions that improve scalability, reliability, maintainability, and security.\n\nBalance long-term platform evolution with near-term product delivery.\n\nEstablish engineering standards, coding practices, testing strategies, and documentation expectations.\n\nDrive continuous improvement across engineering processes and developer experience.\n\nAI Engineering Leadership\n\nPartner with AI engineers to build and operate AI-powered product capabilities.\n\nEstablish best practices for integrating Large Language Models (LLMs) into production systems.\n\nPromote responsible AI engineering, including evaluation, monitoring, security, and governance.\n\nDrive adoption of AI-assisted software development tools to improve engineering productivity.\n\nEvaluate emerging AI technologies and recommend practical adoption where they create measurable business value.\n\nHelp engineers effectively leverage modern AI development tools including GitHub Copilot, Cursor, Claude Code, and similar platforms.\n\nDelivery & Execution\n\nOwn engineering execution across multiple initiatives and product domains.\n\nPartner with Product Managers to define roadmaps, priorities, estimates, and delivery plans.\n\nRemove blockers and enable teams to execute efficiently.\n\nDrive predictable software delivery without compromising engineering quality.\n\nContinuously improve planning, estimation, release management, and Agile execution.\n\nEnsure successful delivery of customer-facing features and internal platform improvements.\n\nPlatform & Operational Excellence\n\nDrive improvements in platform reliability, scalability, observability, and operational excellence.\n\nImprove CI/CD pipelines, automated testing, deployment processes, and developer productivity.\n\nEstablish engineering metrics including deployment frequency, lead time, reliability, defect rates, and operational health.\n\nPromote ownership of production systems and operational excellence.\n\nSupport incident response, root cause analysis, and continuous improvement initiatives.\n\nCross-Functional Collaboration\n\nPartner closely with Product, UX, AI, Data, and Customer Success teams.\n\nCommunicate technical strategy and project status to stakeholders.\n\nAlign engineering priorities with company objectives.\n\nParticipate actively in product planning and strategic decision making.\n\nRequirements\n\nLeadership\n\nSignificant experience building and delivering production software.\n\nExperience leading software engineering teams in fast-moving environments.\n\nProven success hiring, mentoring, and developing engineers.\n\nStrong coaching, communication, and organizational skills.\n\nDemonstrated ability to build high-performing engineering teams.\n\nAbility to influence across technical and business organizations.\n\nTechnical Background\n\nStrong experience building and shipping modern full-stack applications.\n\nExpertise with modern frontend technologies including React, TypeScript, and JavaScript.\n\nStrong backend experience using Java/Spring Boot and/or Python.\n\nExperience designing scalable APIs and distributed systems.\n\nStrong understanding of relational databases (PostgreSQL preferred).\n\nExperience building cloud-native applications on AWS or similar cloud platforms.\n\nSolid understanding of software architecture, security, scalability, and system reliability.\n\nAI & Modern Engineering\n\nExperience building, integrating, or operating AI-powered applications.\n\nUnderstanding of LLMs, prompt engineering, structured outputs, tool/function calling, and Retrieval-Augmented Generation (RAG).\n\nFamiliarity with vector databases, embeddings, semantic search, or AI orchestration frameworks is a plus.\n\nExperience using AI-assisted software development tools to improve engineering productivity.\n\nAbility to evaluate emerging AI technologies and drive practical adoption across engineering teams.\n\nUnderstanding of AI security, governance, and responsible AI practices.\n\nEngineering Management\n\nExperience leading Agile software development.\n\nStrong understanding of modern software delivery practices.\n\nExperience balancing engineering quality with delivery speed.\n\nAbility to manage multiple priorities in a fast-paced environment.\n\nData-driven approach to planning, execution, and continuous improvement.\n\nExperience defining and tracking engineering performance metrics.\n\nCore Competencies\n\nTechnical leadership\n\nStrategic thinking\n\nOwnership mindset\n\nStrong execution\n\nExcellent communication\n\nCoaching and mentoring\n\nSystems thinking\n\nPragmatic decision making\n\nContinuous improvement\n\nCustomer-focused problem solving\n\nNice to Have\n\nCommercial Real Estate (CRE), financial systems, or analytics platform experience.\n\nExperience with event-driven or microservice architectures.\n\nExperience with Kubernetes, Docker, Terraform, or Infrastructure as Code.\n\nExperience with observability platforms such as Datadog, Grafana, Prometheus, or OpenTelemetry.\n\nExperience with high-volume data processing and distributed systems.\n\nExperience scaling engineering teams in startup or high-growth environments.\n\nWhy Join Smart Capital Center\n\nLead engineering for an AI-native platform transforming Commercial Real Estate.\n\nShape engineering culture, architecture, and technical strategy.\n\nBuild products used by leading financial institutions.\n\nWork directly with founders and executive leadership.\n\nSolve complex challenges across AI, financial modeling, and large-scale data.\n\nBuild an engineering organization where AI accelerates both product 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