JobHabor

Engineering Manager (Onsite, Lahore, USD Salary)

HR POD - Hiring Talent Globally
Location
Lahore, Pakistan
Workplace
Employment
Full Time
Salary
Apply on the employer’s site

Posted 2d ago

Requirements

  • 10+ years of experience in software engineering, engineering management, or technical leadership roles.
  • Proven experience leading product-focused engineering teams and delivering customer-centric solutions.
  • Strong understanding of AI/ML technologies, LLMs, automation platforms, and modern software architectures.
  • Experience working directly with clients in consulting, agency, SaaS, or technology services environments.
  • Demonstrated ability to manage cross-functional teams and multiple concurrent projects.
  • Strong knowledge of Agile/Scrum methodologies and engineering best practices.
  • Excellent stakeholder management, communication, and presentation skills.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Ability to balance strategic planning with hands-on technical guidance.
  • Experience scaling engineering teams in startup or high-growth environments.
  • Background in SaaS, AI products, marketing technology, or automation platforms.
  • Familiarity with data engineering, analytics, and AI product development lifecycles.
  • Experience establishing engineering KPIs, team performance frameworks, and delivery governance processes.

Responsibilities

  • Provide technical leadership and strategic direction across AI, software, and product development initiatives.
  • Collaborate with clients to understand business requirements, define technical roadmaps, and translate objectives into actionable engineering plans.
  • Lead engineering teams through architecture reviews and technical decision-making, establish coding best practices, and build a culture of quality, automation, and effective delivery.
  • Partner with Product Managers and stakeholders to prioritize features, manage trade-offs, and ensure alignment between business and technical goals.
  • Oversee the development and implementation of AI-driven solutions, automation workflows, and scalable software systems.
  • Establish and continuously improve engineering processes, development standards, and performance metrics.
  • Mentor engineers and technical leads, fostering a culture of accountability, innovation, and continuous improvement.
  • Identify technical risks, dependencies, and resource requirements while proactively driving mitigation strategies.
  • Support client communications, technical presentations, solution discussions, and project governance activities.
  • Ensure projects are delivered on time, within scope, and according to established quality standards.

Skills

  • LLM
  • AWS
  • Azure
  • GCP

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