Engineering Manager / Director - SaaS Architecture

Job Description : Engineering Manager / Director

Location : Bangalore

Employment Type : Full-time

Experience : 1015+ the Role :

We are seeking an experienced Engineering Manager / Director to lead and scale our engineering organization.

This role requires deep expertise in SaaS architectures, AI / ML integration, and agile practices, along with strong people leadership and business alignment skills.

You will guide teams to deliver high-quality, AI-enabled software at speed while fostering a culture of ownership, experimentation, and continuous Responsibilities :

Technical Leadership :

• Drive cloud-native SaaS architecture and distributed systems design.
• Champion CI / CD pipelines for safe, automated, and rapid delivery.
• Guide teams on AI / ML workflows : data pipelines ? model training ? deployment ? & Lean Practices :
• Promote story slicing into small, testable increments to maximize flow.
• Scale agile practices across teams while balancing autonomy and alignment.
• Foster iterative delivery and tight feedback & Talent Management :
• Coach engineers to own delivery, experiment, and continuously improve.
• Mentor technical leads in both software engineering and AI / ML best practices.
• Build a culture of safe, frequent deployments and responsible AI Excellence :
• Ensure release reliability through monitoring, observability, and automated rollback.
• Embed MLOps and continuous retraining for AI-powered SaaS.
• Define metrics for deployment frequency, lead time, change failure rate, and AI model Thinking & Business Alignment :
• Align engineering throughput with product roadmaps and business outcomes.
• Balance speed of delivery with long-term maintainability and compliance (esp.in AI systems).
• Drive innovation while managing technical debt & Change Leadership :
• Translate complex engineering and AI concepts into business value for executives and customers.
• Lead cultural change toward always deployable software and responsible AI integration.
• Influence stakeholders with clarity on trade-offs (speed vs. reliability vs. :
• Bachelors / Masters degree in Computer Science or related field.
• 10 to 15+ years in software engineering, with 5+ years in leadership roles.
• Proven track record of leading teams in SaaS, cloud-native, and AI / ML-powered products.
• Strong knowledge of CI / CD, distributed systems, MLOps, and agile scaling.
• Excellent people leadership, coaching, and communication skills.
• Ability to align engineering strategy with business goals.

(ref : hirist.tech)