AI Engineering Manager (Product)

Mountainise Inc; Lahore; On-site; PKR 1,800,000 - 3,200,000; Full time

Job summary

Mountainise Inc. is seeking an experienced Engineering Manager to lead engineering initiatives across AI-powered and product-driven projects in Lahore.

The role blends technical leadership, product thinking, and stakeholder management to drive successful delivery and establish engineering best practices. You will work closely with clients, product teams, and engineers to align technical execution with business goals.

Qualifications

• 10+ years in software engineering or technical leadership.
• Proven track record leading product-focused teams.
• Experience with AI/ML, LLMs, and modern architectures.

Responsibilities

• Provide technical leadership across AI, software, and product initiatives.
• Translate client requirements into actionable engineering plans.
• Lead architecture reviews and establish coding best practices.
• Mentor engineers and drive delivery governance.
• Ensure on-time delivery within scope and quality standards.

Skills

Engineering leadership

AI/ML

Cloud platforms

Stakeholder management

Agile/Scrum

Client-facing

Roadmapping

Team mentoring

Cross-functional

Architecture reviews

Tools

AWS

Azure

Google Cloud

Job description

Mounatinise is looking for 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.

Key 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, 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.

Location:

DHA Phase 8 Broadway, Lahore

Timings:

5 PM to 2 AM (Full-Time, Onsite)