[Hiring] Product Engineer @KnowledgeCity

Role Description

The Product Engineer at KnowledgeCity is an autonomous, full-lifecycle product delivery owner. Operating within an AI-native model, the Product Engineer owns an assigned product domain end-to-end - from discovery and specification through engineering, quality assurance, deployment, documentation, and continuous improvement - with minimal operational dependency and a high degree of self-sufficiency.

This is not a traditional engineering role. It demands enterprise-grade delivery discipline, production ownership, UX quality accountability, and customer outcome focus - alongside the technical ability to build and ship. The ideal candidate is an autonomous product delivery leader who takes full ownership of their domain, ships frequently, maintains production stability, and drives measurable improvement in the user experience they are responsible for. The Product Engineer reports directly to the Program Delivery Manager.

Key Responsibilities

• End-to-End Product & Domain Ownership: Own the complete lifecycle of an assigned product domain - discovery, specification, design, engineering, QA, documentation, deployment, and continuous improvement. Full accountability for domain health, user satisfaction, and product quality rests with the Product Engineer.
• AI Agent Orchestration & Autonomous Execution: Direct and orchestrate a full suite of AI agents to execute across all delivery disciplines. Operate with high autonomy and independent execution, minimizing operational dependency while maintaining complete visibility and control over all agent output.
• High-Velocity, Quality-First Delivery: Deliver production-ready improvements to your domain on a continuous, high-velocity cadence. Prioritize quality-first delivery over raw output speed - every release must be fully tested, documented, and operationally stable before reaching production.
• Production Ownership & Post-Deploy Validation: Own all production outcomes for your assigned domain. Conduct post-deployment validation within one hour of every production release - walking through core user workflows, admin journeys, and edge cases on live production data.
• Delivery & Release Governance: Ensure every release meets enterprise-grade release readiness standards before deployment. Maintain cross-environment testing discipline (development, staging, production).
• UX Quality & Customer Workflow Ownership: Own the UX quality of your domain as rigorously as its technical correctness. Evaluate customer workflows critically - not just for functional correctness, but for usability, clarity, and operational readiness.
• Documentation & Knowledge Management: Ensure complete, accurate documentation ships simultaneously with every feature - user guides, API documentation, and operational notes.
• Stakeholder Communication, Escalation & Transparency: Communicate proactively with your Program Delivery Manager or Head of Product - without waiting to be asked. Surface delivery risks, dependency blockers, and scope changes early.
• Product Thinking & Business Impact Ownership: Approach every delivery decision through a product ownership lens. Understand the business impact of what you build, prioritize improvements by customer outcome rather than technical convenience.
• Continuous Improvement & Backlog Ownership: Maintain a prioritized improvement backlog for your domain. Continuously source gap intelligence from support tickets, QA audits, UX findings, usage analytics, and stakeholder feedback.

Qualifications

• 5+ years of hands-on experience in product management, engineering management, or a closely related discipline.
• 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.
• Demonstrated experience owning production outcomes.
• Experience evaluating and improving customer-facing workflows and UX quality.
• Background in agile, high-velocity delivery environments.
• Familiarity with database performance fundamentals is a strong plus.
• EdTech or SaaS product experience preferred but not required.
• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline required. Master's degree preferred.

Certifications

• Certified Scrum Product Owner (CSPO) or an equivalent Product Management certification.

Skills

• Full product lifecycle ownership: strategy, discovery, design, engineering, QA, documentation, deployment, and post-release validation.
• Production accountability mindset: you own what ships, you own what breaks, and you fix it.
• Customer workflow thinking: ability to evaluate product experiences from a real user's perspective.
• Enterprise delivery discipline: release governance, cross-environment testing, rollback readiness.
• AI agent direction: operates and orchestrates AI agents as high-output delivery partners.
• Product intuition: strong instinct for what to build and why it matters to users.
• Proactive communication: surfaces risks and blockers early, communicates delivery status clearly.
• Systems thinking: understands how their domain connects to the broader product ecosystem.
• Self-managing execution: operates with minimal supervision and holds a consistently high quality bar.
• Advanced English proficiency, both written and spoken, is mandatory.

Benefits

• High autonomy and direct domain ownership.
• Work at the frontier of AI-native product engineering.
• Paid time off and a supportive, high-trust team environment.
• Opportunities for professional growth through access to training materials and company courses.
• Competitive compensation commensurate with experience.