Senior Engineering Manager

• **This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineering Manager based in Romania.**
• This role leads engineering teams responsible for building AI-powered data connectivity solutions in a highly technical and collaborative environment.
• You will combine people leadership, technical judgment, and operational discipline to help teams deliver high-quality software efficiently.
• The position owns execution across multiple teams while shaping priorities, technical direction, team structures, and delivery practices.
• You will help establish a shift-left engineering model where engineers contribute earlier to discovery, solution design, and problem definition.
• AI will be embedded both in the products being built and in development workflows to accelerate exploration, planning, and implementation without compromising quality.
• You will also develop senior engineers and emerging leaders, strengthen accountability and autonomy, and drive continuous improvement across engineering.
• Success in this role requires balancing organizational leadership with enough technical engagement to guide complex decisions and support reliable, scalable systems.

### Accountabilities

• Lead and develop engineering teams through regular coaching, feedback, performance management, career development, and clear expectations while fostering accountability, autonomy, innovation, and continuous learning.
• Develop senior engineers, technical owners, and emerging leaders by increasing leadership capacity and empowering them to own initiatives from discovery through implementation.
• Support hiring, onboarding, retention, and talent development while identifying capability gaps and partnering with engineering leadership on organizational and workforce planning.
• Own execution and delivery across assigned teams or a broader engineering area, ensuring priorities, ownership, dependencies, risks, and commitments are clearly understood and actively managed.
• Improve engineering operating practices, team rhythms, planning processes, backlog readiness, delivery tracking, and blocker resolution while avoiding unnecessary process overhead.
• Identify and resolve cross-team dependencies and systemic delivery issues, working with Engineering and Product leadership when challenges extend beyond individual teams.
• Use streamlined workflows, automated reporting, and meaningful engineering and delivery metrics to identify trends, improve execution, and inform decision-making.
• Communicate progress, risks, challenges, resource requirements, and delivery outcomes clearly and proactively to leadership and cross-functional stakeholders.
• Provide strong technical leadership and judgment across teams, ensuring engineering decisions align with architecture, quality, reliability, and broader technical strategy.
• Partner with senior and principal engineers to evaluate technical approaches, challenge assumptions, and ensure appropriate ownership of architecture and technical decisions.
• Maintain sufficient hands-on technical engagement to remain credible and provide informed guidance on complex engineering decisions.
• Identify recurring technical challenges and drive improvements across engineering practices, architecture, tooling, and ways of working.
• Ensure effective operational ownership, including sustainable on-call practices, appropriate staffing, and clear accountability for production systems.
• Establish and monitor SLOs, error budgets, and other reliability measures, taking corrective action when reliability trends deteriorate.
• Provide leadership during major incidents through effective coordination, decision-making, escalation, and stakeholder communication, followed by meaningful postmortems and tracked corrective actions.
• Partner with Product and cross-functional stakeholders to establish clear problem statements, business context, priorities, and success criteria while preserving engineering ownership of solution design.
• Champion effective AI-assisted development practices across solution exploration, technical planning, ticket creation, development, and other workflows while maintaining engineering quality and accountability.
• Enable engineers to participate earlier in discovery, clarify requirements, contribute to solution design, and translate business needs into well-defined technical work.
• Identify opportunities to use AI, automation, and improved engineering practices to increase developer productivity and organizational effectiveness.

**Requirements:**

• Bring 8+ years of software engineering experience, including hands-on experience in enterprise or SaaS environments with a strong focus on technical competency and innovation.
• Have 4+ years of engineering management and/or people management experience with a demonstrated record of leading, coaching, and developing engineering teams.
• Have experience leading multiple engineering teams or initiatives involving multiple teams and stakeholders.
• Demonstrate strong ownership of execution and delivery, including planning, prioritization, dependency management, risk identification, and continuous improvement of development workflows.
• Have experience partnering with senior Engineering and Product leadership on organizational priorities, resource requirements, technical tradeoffs, and execution strategy.
• Bring experience owning production services, including on-call operations, SLOs, incident response, and postmortems.
• Be experienced in collaborative Product and Engineering environments where engineers actively participate in discovery, requirements definition, technical solutioning, and delivery.
• Demonstrate strong technical judgment and the ability to guide design decisions, challenge assumptions, and empower senior and lead engineers to own technical initiatives.
• Possess strong communication and stakeholder management skills, with the ability to create clarity across Engineering, Product, and other cross-functional teams.
• Have experience with cloud platform management and architecture, preferably Azure, supporting scalable, high-performance systems and cloud-native deployments.
• Bring strong Java/Kotlin development experience and the ability to provide technical guidance across backend services and microservices.
• Have experience leveraging or leading teams that use AI-assisted software development tools and workflows.
• Recent hands-on coding experience is preferred.
• Kubernetes experience and familiarity with container orchestration and deployment are considered a plus.
• React framework experience is a plus.
• Experience designing and implementing microservice architectures for distributed systems and reliable platforms is a plus.
• Hold a Bachelor's degree in Computer Science, Engineering, or a related field, or have equivalent practical experience.

**Benefits:**

• Annual compensation of $220,000 USD.
• Full-time position with a remote work arrangement.
• Opportunity to lead engineering teams building AI-powered data connectivity solutions.
• Significant scope to influence technical direction, engineering practices, organizational structure, and delivery strategy.
• Opportunity to develop senior engineers and emerging technical leaders while contributing to broader engineering effectiveness.
• Exposure to AI-assisted software development and modern cloud-native engineering practices.