
Engineering Manager/Director
5 days ago
Job Description : Engineering Manager / Director
Location : Bangalore
Employment Type : Full-time
Experience : 1015 years
About 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 improvement.
Key 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 ? monitoring.
Agile & 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 loops.
People & 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 adoption.
Operational 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 performance.
Strategic Thinking & Business Alignment :
- Align engineering throughput with product roadmaps and business outcomes.
- Balance speed of delivery with long-term maintainability and compliance AI systems).
- Drive innovation while managing technical debt responsibly.
Communication & 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. cost).
Qualifications :
- Bachelors/Masters degree in Computer Science or related field.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.
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