Engineering Manager (Onsite, Lahore, USD Salary)

hr-pod-hiring-talent-globally; Lahore; On-site; PKR 2,500,000 - 5,000,000; Full time

Job summary

hr-pod-hiring-talent-globally seeks a seasoned senior engineering leader to guide AI, software and product initiatives. You will drive technical strategy, architecture reviews, coding standards, and delivery governance while mentoring engineers and building scalable SaaS platforms.

You will work with clients to capture business needs, translate requirements into actionable roadmaps, and ensure on-time delivery of customer-focused solutions in a fast-growing environment.

Qualifications

• 10+ years of experience in software engineering or leadership roles.
• Proven experience leading product-focused engineering teams delivering customer-centric solutions.
• Strong understanding of AI/ML technologies, LLMs, automation platforms, and modern software architectures.
• Experience working with clients in consulting, agency, SaaS, or technology services environments.
• Demonstrated ability to manage cross-functional teams and multiple projects.
• 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 tech, 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

Engineering leadership

Software architecture

AI/ML knowledge

Client engagement

Cross-functional leadership

Agile/Scrum

Cloud platforms

Tools

AWS

Azure

Google Cloud

Job description

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.