<p><p><b>Job Description : Engineering Manager / Director</b></p><p><br/> Location : Bangalore<br/><br/> Employment Type : Full-time<br/><br/> Experience : 1015+ the Role : </b></p><p><br/> We are seeking an experienced Engineering Manager/Director to lead and scale our engineering organization.</p><br/> This role requires deep expertise in SaaS architectures, AI/ML integration, and agile practices, along with strong people leadership and business alignment skills.<br/><br/> You will guide teams to deliver high-quality, AI-enabled software at speed while fostering a culture of ownership, experimentation, and continuous Responsibilities :</b></p><p><br/><b>Technical Leadership : </b><br/><br/></p><p> - Drive cloud-native SaaS architecture and distributed systems design.<br/><br/></p><p> - Champion CI/CD pipelines for safe, automated, and rapid delivery.<br/><br/></p><p> - Guide teams on AI/ML workflows : data pipelines ?
model training ?
deployment ?
& Lean Practices : </b></p><p><br/></p> - Promote story slicing into small, testable increments to maximize flow.<br/><br/></p><p> - Scale agile practices across teams while balancing autonomy and alignment.<br/><br/></p><p> - Foster iterative delivery and tight feedback & Talent Management : </b></p><p><br/></p> - Coach engineers to own delivery, experiment, and continuously improve.<br/><br/></p><p> - Mentor technical leads in both software engineering and AI/ML best practices.<br/><br/></p><p> - Build a culture of safe, frequent deployments and responsible AI Excellence : </b></p><p><br/></p> - Ensure release reliability through monitoring, observability, and automated rollback.<br/><br/></p><p> - Embed MLOps and continuous retraining for AI-powered SaaS.<br/><br/></p><p> - Define metrics for deployment frequency, lead time, change failure rate, and AI model Thinking & Business Alignment : </b></p><br/></p><p> - Align engineering throughput with product roadmaps and business outcomes.<br/><br/></p><p> - Balance speed of delivery with long-term maintainability and compliance (esp.in AI systems).<br/><br/></p><p> - Drive innovation while managing technical debt & Change Leadership : </b></p><br/></p><p> - Translate complex engineering and AI concepts into business value for executives and customers.<br/><br/></p><p> - Lead cultural change toward always deployable software and responsible AI integration.<br/><br/></p><p> - Influence stakeholders with clarity on trade-offs (speed vs.
reliability vs.
: </b></p><br/>- Bachelors/Masters degree in Computer Science or related field.<br/><br/>- 10 to 15+ years in software engineering, with 5+ years in leadership roles.<br/><br/>- Proven track record of leading teams in SaaS, cloud-native, and AI/ML-powered products.<br/><br/>- Strong knowledge of CI/CD, distributed systems, MLOps, and agile scaling.<br/><br/>- Excellent people leadership, coaching, and communication skills.<br/><br/>- Ability to align engineering strategy with business goals.</p><br/></p> (ref:hirist.tech)