What are the responsibilities and job description for the Engineering Operations Manager position at Mitek Systems?
We are looking for a highly organized and impact-driven Engineering Operations Manager to help scale and optimize how our engineering teams plan, execute, and deliver. In this role, you will work closely with engineering leadership, agile coaches, and product teams to translate strategy into execution. You will help drive clarity across priorities, improve delivery predictability, and enable teams to operate at their best.
You will play a central role in coordinating planning cycles, tracking key initiatives, and continuously improving processes, tooling, and ways of working across a multi-team engineering organization. This is a great opportunity for someone who thrives in complex environments, enjoys bringing structure to ambiguity, and is passionate about improving engineering effectiveness at scale.
Strategy Execution & Performance Management
Support Engineering leadership in driving strategic initiatives and ensuring alignment across engineering teams.
Translate engineering strategy into clear, measurable performance indicators.
Monitor progress against OKRs, identify risks and dependencies, and provide actionable insights to leadership.
Planning & Delivery Governance
Coordinate and execute quarterly planning cycles in partnership with Product Management.
Facilitate cross-team planning, ensuring priorities, dependencies, and capacity are clearly understood.
Establish and maintain consistent delivery frameworks across teams (planning cadence, reporting, roadmap alignment).
Track major initiatives and ensure timely delivery by identifying blockers and escalating when necessary.
Process & Operational Excellence
Drive continuous improvement initiatives through the identification of operational inefficiencies and implementation of improvements across engineering practices to support scalable and predictable delivery of product
Monitor and audit processes, tools and ways of working adherence to ensure widespread adoption and consistency across teams.
Ensure clear communication of priorities, decisions, and progress across teams and leadership.
Bachelor’s degree in Computer Science or Project Management or related field.
Knowledge, skills and abilities typically gained through 6 years of experience in a combination of delivery management, program management, engineering operations or software development with at least 3 of those years in delivery management, program management, or engineering operations.
Experience supporting multi-team engineering organizations and coordinating complex initiatives.
Demonstrated experience implementing process improvements or operational frameworks in technology teams.
Strong understanding of Agile / Scrum delivery models and modern software development practices.
Comfortable working with engineering metrics and delivery data to drive insights and decision-making.
Excellent organizational and program management skills with the ability to manage multiple initiatives simultaneously.
Strong stakeholder management skills, with the ability to influence teams without direct authority.
Excellent written and verbal communication skills.
Highly structured and systems-thinking oriented. Able to bring clarity and organization to complex environments.
Resilient, pragmatic, and solution-driven, comfortable navigating ambiguity.
Hands-on and proactive. Someone who actively identifies and resolves operational issues.
Detail-oriented while maintaining a big-picture view of engineering strategy and delivery outcomes.
Passionate about improving developer productivity, delivery predictability, and team effectiveness.
Familiarity with tools such as Jira, Confluence, or similar planning and reporting platforms.
Exposure to DevOps, CI/CD practices, or platform engineering environments.
Team growth, engagement, and delivery velocity.
Percentage of teams adhering to planning cadence (e.g. sprint rituals, quarterly planning).
Percentage of teams completing planning on time with clear outputs.
Measurable improvements in productivity and quality metrics.
Decrease in cycle time.
Decrease in defect leakage.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.