Tech Product Manager

As a Tech Product Manager at the company, your role is to architect the evolution of the Application into a scalable, AI-augmented, services-enabled platform. This involves transforming agile pedagogy, industry problem statements, mentoring frameworks, and assessment intelligence into modular, configurable, and insight-driven digital products. You will be leading the platform reimagination at the intersection of learning science, AI, and institutional transformation. **Key Responsibilities:** - Define a 3-year product vision for the Application Portal - Convert delivery workflows into scalable platform modules - Balance customization flexibility with product discipline - Introduce release cycles, version control, and roadmap governance - Work with Technology Delivery to modularize the academic product engine - Define configuration layers (institution-level, cohort-level, sprint-level) - Embed AI into assessment workflows, feedback systems, mentor intelligence dashboards, and learning analytics - Translate agile project-based learning into reusable digital assets - Standardize sprint templates and rubrics - Design configurable learning pathways without diluting academic integrity - Protect the core framework while enabling market adaptation - Redesign the institutional admin experience - Define dashboards for Academic Deans, Placement Heads, and Faculty Coordinators - Improve onboarding and implementation workflows - Identify automation opportunities across delivery - Integrate AI for grading support, mentoring augmentation, and student analytics - Ensure human-in-the-loop quality control mechanisms - Lead Product Councils and roadmap reviews - Define and track platform adoption rate, configuration-to-customization ratio, delivery efficiency gains, feature utilization metrics, institutional retention, and learning outcome analytics **Qualifications Required:** - 4-6 years in B2B SaaS product leadership - Experience scaling platforms in EdTech / Learning / HRTech / Enterprise SaaS - Strong systems thinker with architectural understanding - Comfortable with AI-enabled product environments - Experience working with institutional or enterprise clients - Able to balance commercial pressures with product discipline - Exposure to LMS, assessment systems, or project-based learning frameworks is a bonus - Experience converting services into scalable product platforms is a bonus In your role, you will have the opportunity to build a platform around an agile pedagogy, work on real industry problem statements embedded into learning, architect AI-supported mentoring workflows, and help transition a high-impact services organization into a product-intelligent platform enterprise. This unique role combines Product Strategy, Learning Design, Platform Engineering Alignment, Institutional Systems Thinking, and AI Integration. In the first 12 months, success indicators include clear modular architecture defined, platform configurability framework launched, AI-assisted assessment layer operational, release management process institutionalized, reduction in implementation-level customization by 2530%, and institutional dashboard beta launched. Join now to shape the next phase of the company, where services remain the strength, but the platform becomes the multiplier. You won't inherit a mature SaaS machine, you will design one. As a Tech Product Manager at the company, your role is to architect the evolution of the Application into a scalable, AI-augmented, services-enabled platform. This involves transforming agile pedagogy, industry problem statements, mentoring frameworks, and assessment intelligence into modular, configurable, and insight-driven digital products. You will be leading the platform reimagination at the intersection of learning science, AI, and institutional transformation. **Key Responsibilities:** - Define a 3-year product vision for the Application Portal - Convert delivery workflows into scalable platform modules - Balance customization flexibility with product discipline - Introduce release cycles, version control, and roadmap governance - Work with Technology Delivery to modularize the academic product engine - Define configuration layers (institution-level, cohort-level, sprint-level) - Embed AI into assessment workflows, feedback systems, mentor intelligence dashboards, and learning analytics - Translate agile project-based learning into reusable digital assets - Standardize sprint templates and rubrics - Design configurable learning pathways without diluting academic integrity - Protect the core framework while enabling market adaptation - Redesign the institutional admin experience - Define dashboards for Academic Deans, Placement Heads, and Faculty Coordinators - Improve onboarding and implementation workflows - Identify automation opportunities across delivery - Integrate AI for grading support, mentoring augmentation, and student analytics - Ensure human-in-the-loop quality control mechanisms