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.