Senior Product Manager

Role Overview

We are seeking a Senior Product Manager to lead the evolution of a cutting-edge AI-powered digital testing and evaluation platform. The Senior Product Manager will drive the strategic direction and product roadmap, ensuring the successful deployment and scaling of the solution for large-scale government and institutional use. The role requires deep experience in product management, AI-native development, and large-scale systems deployment, with a focus on AI-driven innovation and rapid prototyping.

Key Responsibilities

• Product Strategy & Vision: Define and articulate the vision and roadmap for the existing digital exam system, aligning it with organizational goals and market demands.
• AI Integration: Lead efforts to modernize the solution with AI capabilities, leveraging tools like Cursor, AntiGravity, and similar platforms to enhance the product's functionality.
• Cross-Functional Leadership: Work closely with engineering, operations, and design teams to iterate on product development, ensure technical feasibility, and oversee deployment.
• Stakeholder Management: Collaborate with public-sector organizations, educational institutions, and test centers to ensure the platform meets their needs at scale.
• Product Launch & Scaling: Manage the product's new features lifecycle, from ideation through to large-scale deployment, ensuring seamless scaling and adaptability for diverse users.
• Data-Driven Decision Making: Utilize data insights and analytics to measure product performance, user satisfaction, and identify areas for improvement.
• Continuous Improvement: Lead rapid product experimentation, incorporating feedback and making adjustments to drive continuous growth.
  
  

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of product management experience, with a strong focus on enterprise SaaS, digital platforms.
• Proven experience leading product development for large-scale systems in the public or private sector, particularly in education or testing industries.
• Deep understanding of AI-native product development, including prototyping with Figma, experimentation, and rapid deployment.
• Strong understanding of UX Laws and technical background to get them implemented, with the ability to engage with engineering teams on complex technical issues.
• Excellent communication, leadership, and stakeholder management skills.
  
  

Preferred Qualifications

• Experience with AI-driven development tools such as Cursor or AntiGravity.
• Experience in managing complex products in government or public-sector environments.
• Familiarity with secure cloud-based infrastructures, testing platforms, and large-scale data systems.
• Experience with integrating biometric and face recognition technologies into product offerings.
  
  

Technical Competencies

• Excellent understanding of AI-based Product Development.
• Cloud Platforms (AWS, Azure, etc.) and serverless architectures.
• Data Analytics and Reporting Systems.
• Familiarity with secure testing and verification systems (face recognition, biometrics, etc.).
  
  

Product Management Expectations

• Strategic Thinking: Ability to define the product’s long-term vision, anticipate challenges, and make data-informed decisions.
• Leadership: Proven track record of successfully leading product teams and collaborating cross-functionally to deliver impactful products.
• Customer-Centric Focus: Deep understanding of the needs of candidates, administrators, and test centers in large-scale environments.
• Innovation: Strong focus on experimenting and incorporating AI to deliver differentiated product features.
• Deployment Success: Timely and successful deployment of the solution across target public-sector organizations.
• Scalability: Successful scaling of the platform to handle large volumes of users and testing environments.
  
  

Stakeholder Management Responsibilities

• Build and maintain relationships with key stakeholders within the public sector, educational institutions, and test centers.
• Communicate product progress, milestones, and insights to stakeholders, ensuring alignment on expectations and timelines.
• Manage expectations, addressing any concerns or issues promptly and maintaining transparency throughout the product lifecycle.