MTech Systems · 1 day ago
Sr Delivery Manager
MTech Systems is tackling one of humanity’s biggest challenges by providing an AI-powered platform for sustainable food production. The Senior Delivery Manager will lead engineering teams to ensure high-quality software delivery while driving cross-functional alignment and technical excellence.
Responsibilities
Lead and participate in daily code reviews across frontend and backend repositories to ensure adherence to engineering standards and architectural principles
Investigate and resolve build failures, test regressions, and deployment issues in CI/CD pipelines
Validate pull requests for performance impact, test coverage, and maintainability
Collaborate with engineers to refactor legacy code and implement scalable, modular patterns as part of architectural improvements in the product
Directly manage a team of 10 developers: set goals, prioritize work, coach for impact, and create clear accountability
Foster a culture of ownership, transparency, and continuous improvement
Own sprint execution, backlog health, and delivery velocity across distributed teams in the US, LATAM, and other global regions
Coordinate across time zones to ensure seamless handoffs, shared accountability, and consistent delivery practices
Standardize engineering rituals (standups, retros, demos) and enforce agile discipline across pods
Ensure teams are aligned on delivery goals, technical standards, and release readiness
Own and lead defect tracking, classification, and assignment within engineering
Drive a culture of 'first-time-right' engineering and continuous improvement
Partner with QA to align test plans, automation coverage, and regression suites with delivery goals
Collaborate with Data Science and Product to ensure technical feasibility and delivery readiness of new features
Coordinate with DevOps to maintain build health, deployment reliability, and observability standards
Serve as first line of escalation for blockers, delivery risks, and cross-team misalignments
Use GitHub, Azure DevOps, Harvest, and internal dashboards to monitor and report on delivery health
Leverage AI tools to generate test cases and performance benchmarks
Analyze productivity trends and delivery bottlenecks
Automate reporting and alerting for delivery health
Champion adoption of AI-assisted development practices across engineering teams
Provide clear, data-backed insights into delivery health and team performance to engineering leadership
Mentor team leads and senior engineers on delivery best practices, architecture, and performance optimization
Identify underperforming contributors and lead performance improvement plans or transitions
Support hiring, onboarding, and upskilling of engineering talent across regions
Qualification
Required
8+ years of experience in software engineering or technical program management, including 3+ years in a delivery leadership role in global SaaS/high-growth tech companies
Strong coding background with ability to review, debug, and optimize production code
Deep familiarity with modern web and cloud-native architectures
Experience with AI tools like GitHub Copilot, MS Copilot, or internal agentic systems
Proficiency in GitHub, Azure DevOps, Harvest, and performance monitoring tools
Excellent communication skills with the ability to influence technical and non-technical stakeholders
Undergraduate degree in the US
Preferred
Experience in high-growth, transformation-stage, or PE-backed SaaS companies
Exposure to AI agent orchestration, RAG pipelines, or intelligent automation frameworks
Familiarity with performance testing, SLA enforcement, and observability practices
Experience leading distributed teams across multiple time zones and cultures