Product Engineer

Overview

Own an assigned product domain end to end as an autonomous Product Engineer, covering discovery, specification, design, engineering, QA, documentation, deployment, and continuous improvement. Direct AI agents across delivery disciplines while maintaining production stability, UX quality, and customer outcome focus.

What you'll do

• Own the complete lifecycle of an assigned product domain from discovery through continuous improvement.
• Direct and orchestrate a full suite of AI agents across all delivery disciplines.
• Deliver production-ready improvements on a continuous, high-velocity cadence.
• Ensure every release is fully tested, documented, and operationally stable before production.
• Conduct post-deployment validation within one hour of every production release using core user workflows, admin journeys, and edge cases on live production data.
• Monitor deployment health, detect regressions proactively, and initiate rollback immediately when production stability is at risk.
• Ensure releases meet enterprise-grade release readiness standards.
• Maintain cross-environment testing discipline across development, staging, and production.
• Govern rollback readiness and track deployment quality metrics across releases.
• Evaluate customer workflows for functional correctness, usability, clarity, and operational readiness.
• Commission regular UX audits using AI UX agents.
• Ensure user guides, API documentation, and operational notes ship with every feature.
• Communicate delivery risks, dependency blockers, scope changes, forecasts, release updates, and post-deployment status proactively.
• Escalate issues with proposed solutions.
• Prioritize improvements by customer outcome, business value, and implementation effort.
• Connect technical delivery to user satisfaction signals, support ticket reduction, and feature adoption metrics.
• Maintain a prioritized improvement backlog using support tickets, QA audits, UX findings, usage analytics, and stakeholder feedback.

What you'll need

• 5+ years of hands-on experience in product management, engineering management, or a closely related discipline.
• Demonstrated ability to own and deliver end-to-end product outcomes independently.
• Proven track record of shipping real, production-grade products end-to-end.
• Background spanning at least two of software engineering, product management, UX design, or QA.
• Hands-on experience with AI-assisted development tools.
• Strong understanding of how to direct and review AI-generated output at production quality.
• Demonstrated experience owning production outcomes, including post-deploy validation, regression management, incident response, and deployment health monitoring.
• Experience evaluating and improving customer-facing workflows and UX quality.
• Background in agile, high-velocity delivery environments with a strong bias for continuous, quality-first delivery.
• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline required.
• Certified Scrum Product Owner (CSPO) or an equivalent Product Management certification.
• Ability to own the full product lifecycle: strategy, discovery, design, engineering, QA, documentation, deployment, and post-release validation.
• Ability to evaluate product experiences from a real user's perspective.
• Enterprise delivery discipline covering release governance, cross-environment testing, rollback readiness, deployment quality tracking, and stability assurance.
• Ability to operate and orchestrate AI agents as high-output delivery partners and critically review every output before production.
• Strong instinct for what to build, why it matters to users, and how to connect engineering decisions to business outcomes.
• Ability to surface risks and blockers early, communicate delivery status clearly, and escalate with solutions.
• Understanding of how a domain connects to the broader product ecosystem and consideration of upstream and downstream impact.
• Ability to operate with minimal supervision, unblock independently, and maintain a high quality bar.
• Advanced English proficiency, written and spoken, is mandatory.

Nice to have

• Familiarity with database performance fundamentals, including query optimization, indexing, and execution planning.
• EdTech or SaaS product experience preferred but not required.
• Master's degree preferred.

Details

• Remote, Pakistan.
• Reports directly to the Program Delivery Manager.