Engineering Manager

Mountainise Inc; Lahore; On-site; PKR 1,674,000 - 2,790,000; Part time

Job summary

Mountainise Inc is searching for an experienced Engineering Manager to oversee AI-powered projects in Lahore. This role combines technical leadership and stakeholder management to drive engineering initiatives and establish best practices.

The ideal candidate will have over 10 years of relevant experience, expertise in AI/ML technologies, and a strong ability to lead teams and communicate with clients effectively. If you are looking for a challenging consultancy role with significant scope, apply now.

Qualifications

• 10+ years of experience in software engineering, engineering management, or technical leadership roles.
• Proven experience leading product-focused engineering teams.
• Strong understanding of AI/ML technologies and modern software architectures.

Responsibilities

• Provide technical leadership and strategic direction across engineering initiatives.
• Collaborate with clients to understand business requirements and define technical roadmaps.
• Lead engineering teams in building a culture of high quality and automation.

Skills

Technical leadership

Product thinking

Stakeholder management

AI/ML technologies

Agile/Scrum methodologies

Cloud platforms (AWS, Azure, Google Cloud)

Job description

Location: DHA Phase 8 Broadway, Lahore
Timings: 5 PM to 2 AM (Onsite – 3 days/week)
Experience: 10+ Years
Engagement Type: Consultancy/hourly based
Department: Engineering / Product Development

Job Role

We are seeking an experienced and strategic Engineering Manager to lead engineering initiatives across AI-powered and product-driven projects. This client-facing role requires a strong blend of technical leadership, product thinking, and stakeholder management. The ideal candidate will work closely with clients, product teams, and engineers to drive successful delivery, establish engineering best practices, and align technical execution with business objectives.

KeyResponsibilities

• 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, technical decision‑making, establish coding best practices by building a culture of high quality and automation and delivery execution.
• 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 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 quality standards.

Qualifications

• 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.

Preferred Qualifications

• 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.