Director - Engineering

<p class="MsoNormal" style="margin-bottom:0cm;"><b>Director – Engineering</b></p><p>Experience : 10 - 15+ Years</p><p>Location : Bengaluru</p><p class="MsoNormal" style="margin-bottom:0cm;">Exxat is a US-headquartered SaaS company delivering a cloud-based education management platform for Health Sciences. Engineering is at the heart of Exxat’s mission — building reliable, scalable, and intelligent product experiences that drive outcomes for students, institutions, and clinical partners.</p><p></p><p class="MsoNormal" style="margin-bottom:0cm;">As Director – Engineering, you will own end-to-end engineering delivery across independent product modules and platform domains. You will lead with an AI-first mindset — embedding intelligent tooling, automation, and machine learning-assisted workflows into how the team designs, builds, and ships software.</p><p></p><p class="MsoNormal" style="margin-bottom:0cm;">With 10–15+ years of broad industry experience, you bring the versatility of a generalist leader who can connect product, architecture, data, and people into cohesive engineering outcomes.</p><p></p><p class="MsoNormal" style="margin-bottom:0cm;"></p><p> </p><p class="MsoNormal" style="margin-bottom:0cm;"><b>Reports to:</b> CTO</p><p class="MsoNormal" style="margin-bottom:0cm;"><b>Key Responsibilities:</b></p><p><b></b></p><b></b><p class="MsoNormal" style="margin-bottom:0cm;"><b>Engineering Leadership & Delivery</b></p><p><b></b></p><b></b><p class="MsoNormal" style="margin-bottom:0cm;">• Own end-to-end engineering delivery across multiple independent product modules and platform domains<br /> • Define and drive engineering roadmaps in close collaboration with Product, Design, and Business stakeholders<br /> • Set and uphold engineering standards for code quality, system reliability, security, and performance<br /> • Establish agile delivery rhythms that enable predictable, high-quality releases at scale</p><p></p><p class="MsoNormal" style="margin-bottom:0cm;"></p><p> </p><p class="MsoNormal" style="margin-bottom:0cm;"><b>AI-First Engineering</b></p><p><b></b></p><b></b><p class="MsoNormal" style="margin-bottom:0cm;">• Champion an AI-first culture — embedding LLMs, copilots, and intelligent automation into engineering workflows, developer tooling, and product features<br /> • Partner with data and product teams to identify and ship AI/ML-powered capabilities that create measurable user value<br /> • Evaluate and adopt emerging AI tools to accelerate development velocity, reduce toil, and improve decision-making<br /> • Drive responsible AI practices including observability, evaluation frameworks, and governance for AI-powered systems</p><p></p><p class="MsoNormal" style="margin-bottom:0cm;"></p><p> </p><p class="MsoNormal" style="margin-bottom:0cm;"><b>Architecture & Platform</b></p><p><b></b></p><b></b><p class="MsoNormal" style="margin-bottom:0cm;">• Own the architecture of product modules — ensuring modularity, scalability, and maintainability across the SaaS platform<br /> • Collaborate with infrastructure and platform teams on cloud-native architecture, CI/CD pipelines, and DevOps practices<br /> • Drive technical debt prioritisation and architectural evolution without disrupting product delivery<br /> • Ensure platform security, data privacy, and compliance with relevant standards (FERPA, HIPAA, SOC 2, etc.)</p><p></p><p class="MsoNormal" style="margin-bottom:0cm;"></p><p> </p><p class="MsoNormal" style="margin-bottom:0cm;"><b>People & Team Building</b></p><p><b></b></p><b></b><p class="MsoNormal" style="margin-bottom:0cm;">• Build, mentor, and retain high-performing engineering teams across geographies and disciplines<br /> • Foster a culture of ownership, psychological safety, continuous learning, and engineering excellence<br /> • Conduct regular 1:1s, performance reviews, and career development conversations<br /> • Partner with recruiting to attract strong engineering talent aligned to Exxat’s mission and culture</p><p></p><p class="MsoNormal" style="margin-bottom:0cm;"></p><p> </p><p class="MsoNormal" style="margin-bottom:0cm;"><b>Cross-functional Collaboration & Stakeholder Communication</b></p><p><b></b></p><b></b><p class="MsoNormal" style="margin-bottom:0cm;">• Act as the primary engineering voice in cross-functional leadership discussions — translating technical constraints and opportunities into business language<br /> • Communicate engineering status, risks, and trade-offs clearly to the CTO and executive leadership<br /> • Partner with Customer Success, Sales Engineering, and Support to close the feedback loop on product quality and reliability<br /> • Enable data-driven engineering decisions through clear metrics, dashboards, and outcome tracking.</p><p></p><p class="MsoNormal" style="margin-bottom:0cm;"></p><p> </p><p class="MsoNormal" style="margin-bottom:0cm;"><b>Required Skills & Qualifications</b></p><p><b></b></p><b></b><p class="MsoNormal" style="margin-bottom:0cm;"><b>Experience</b></p><p><b></b></p><b></b><p class="MsoNormal" style="margin-bottom:0cm;">• 10–15+ years of progressive experience in software engineering, with at least 3–5 years in a senior engineering leadership role<br /> • Mandatory experience working in SaaS product environments — ideally with multi-tenant, cloud-based platforms<br /> • Proven track record of owning and delivering multiple product modules or engineering domains simultaneously<br /> • Experience navigating the full engineering lifecycle — from greenfield builds to scaling existing products</p><p></p><p class="MsoNormal" style="margin-bottom:0cm;"></p><p> </p><p class="MsoNormal" style="margin-bottom:0cm;"><b>Technical Breadth (Generalist Mindset)</b></p><p><b></b></p><b></b><p class="MsoNormal" style="margin-bottom:0cm;">• Strong foundational knowledge across backend, frontend, data, infrastructure, and security — a true jack-of-all-trades who can engage credibly across disciplines<br /> • Fluency in modern software architecture patterns: microservices, event-driven systems, APIs, and cloud-native design<br /> • Hands-on familiarity with AI/ML tooling, LLM integration patterns, prompt engineering, and AI product development<br /> • Working knowledge of DevOps practices: CI/CD, containerisation (Docker/Kubernetes), observability, and infrastructure-as-code</p><p></p><p class="MsoNormal" style="margin-bottom:0cm;"></p><p> </p><p class="MsoNormal" style="margin-bottom:0cm;"><b>Leadership & Soft Skills</b></p><p><b></b></p><b></b><p class="MsoNormal" style="margin-bottom:0cm;">• Strong people leadership and organisational skills — ability to manage, develop, and inspire diverse engineering teams<br /> • Excellent analytical and structured problem-solving capabilities; comfort operating with ambiguity<br /> • Exceptional communication and executive presence — ability to distil complexity and influence without authority<br /> • Customer and outcome orientation — engineering decisions anchored in business and user impact</p><p></p><p> </p><p class="MsoNormal" style="margin-bottom:0cm;"></p><p> </p>