Engineering Manager / Director

As an Engineering Manager/Director at Avo Automation, your role is to lead and scale the engineering organization with expertise in SaaS architectures, AI/ML integration, and agile practices. 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, and 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 (especially in 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. - 10-15+ 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.,