Engineering Manager

Arbisoft


Date: 8 hours ago
City: Lahore
Contract type: Full time
Job Summary: We're looking for an experienced Engineering Manager to support and guide our engineering teams by driving progress, improving workflows, and enhancing visibility across projects. This role blends strong technical understanding with strategic oversight, ensuring projects are delivered on time and with clarity.

Experience: Min 10 years in IT industry

Key Responsibilities:
  • Oversee project progress through structured tracking and reporting, ensuring visibility and accountability across all deliverables.
  • Conduct regular performance reviews, provide constructive feedback, and identify opportunities for team, project, and professional growth.
  • Define, revamp, and manage engineering performance metrics and ensuring metrics evolve as teams and projects scale.
  • Identify bottlenecks and delivery risks and help teams resolve them efficiently, taking full ownership of outcomes and driving accountability across the team.
  • Collaborate with cross-functional teams including PMs, designers, and external stakeholders to help define project scope, technical approach, and resource allocation.
  • Good enough in adoption of AI-enabled practices and tools within engineering teams evaluating, piloting, and embedding AI technologies to improve productivity and code quality.
  • Bring hands-on experience leading large, complex engineering initiatives and use that perspective to improve how teams execute and deliver.
  • Facilitate progress review meetings, ensuring visibility and accountability for deliverables.
  • Stay abreast of emerging technologies and trends, and evaluate their potential application within the company.

Qualifications:
  • Bachelor's or Master's degree in Software Engineering, Project Management, or a related field.
  • Proven experience in engineering leadership roles at scale managing large, distributed teams across multiple concurrent initiatives in fast-paced environments.
  • Demonstrated technical proficiency with a solid engineering foundation; able to engage meaningfully in architecture discussions, code reviews, and technical decision-making.
  • Hands-on experience with operational efficiency improvements including automation of engineering workflows and reporting pipelines.
  • Familiarity with AI tools and technologies, with practical experience driving AI adoption within engineering teams.
  • Profound understanding of secure software development lifecycles and project management best practices.
  • Strong interpersonal and communication skills, with the ability to align multiple stakeholders.
  • A proactive mindset focused on outcomes, not just process.

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