--- title: 'Product Manager, AI & Predictive Analytics at Liaison International' canonical: 'https://feeny.ai/job/product-manager-ai-predictive-analytics-liaison-international-qb5x4jrc1455' type: 'job' last_seen: '2026-11-02' --- # Product Manager, AI & Predictive Analytics at Liaison International - **Company:** Liaison International - **Work type:** hybrid - **Posted:** 2026-10-27 - **Last confirmed live:** 2026-11-02 - **Apply:** https://www.liaisonedu.com/open-positions/?gh_jid=5463892008 ## Job description At Liaison, we’ve helped higher education institutions build better, more diverse classes for three decades. You may recognize us as the company behind the Centralized Application Service (CAS), Enrollment Marketing services and platform (EMP), SlideRoom, Time2Track, TargetX (CRM) and Othot. Everything we do is focused on taking that proven success and expanding its scope and scale. Over 31,000 programs on more than 1,000 campuses see us as a forward-thinking partner integral to meeting their total enrollment goals — and we’re building the data- and mission-driven team that will reinforce our role for decades to come. The Product Manager is responsible for defining and advancing product capabilities for the Othot platform, with a particular focus on AI, analytics, and data-driven solutions. This role translates customer needs, market opportunities, and complex technical capabilities into clear product requirements and experiences that deliver meaningful value to colleges and universities. Working closely with Data Science, Engineering, UX, and client-facing teams, the Product Manager manages product priorities from discovery through development, launch, and adoption. This role also monitors product usage and performance, gathers customer and market insights, and supports the continued evolution of AI-powered capabilities across enrollment, retention, financial aid, and other higher education use cases. Responsibilities: - Develop and maintain the product roadmap for AI, analytics, and agentic capabilities, including AI-driven recommendations, conversational interfaces, workflow automation, and student- and institution-level insights. - Partner with Data Science, Engineering, and client-facing teams to translate predictive and prescriptive model outputs into usable, explainable product features. - Gather and analyze customer, market, and user insights to identify needs, validate opportunities, and inform product priorities. - Translate business, customer, and technical requirements into clear product specifications and development priorities. - Collaborate with UX/UI teams to define requirements and provide feedback throughout the design and development process. - Define product success metrics and monitor customer usage, adoption, and usability trends to inform ongoing improvements. - Support the development and continuous improvement of processes for bringing AI-powered capabilities from concept through development, validation, and release. - Develop customer-facing documentation, release notes, training materials, demonstrations, and other resources to support successful product adoption. - Collaborate cross-functionally throughout the product development lifecycle to ensure alignment on priorities, requirements, timelines, and customer value. Position Requirements: - Bachelor’s degree in Business, Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience. - 3+ years of Product Management experience, preferably within a data-intensive, analytics-driven, or SaaS environment. - Demonstrated experience developing and launching software products or features that incorporate AI/ML capabilities, including AI-driven or agentic workflows. - Strong ability to translate complex or ambiguous AI/ML concepts into clear product requirements and compelling customer value propositions. - Excellent written and verbal communication skills, including experience presenting and demonstrating products to internal and external audiences. - Background in machine learning or predictive modeling strongly preferred, whether through prior data science/analytics experience, an ML-focused product role, or close partnership with Data Science or ML teams. Strong familiarity with modeling concepts and interpreting machine learning model outputs. - Higher education or EdTech experience, particularly in enrollment management, student retention, financial aid, or institutional research, preferred. - Experience with BI or analytics tools and using data to inform product decisions preferred. - Familiarity with Agile product development practices and tools such as Jira; experience with beta testing or customer co-design programs preferred. [Privacy Policy | GDPR | CCPA Compliance](https://www.liaisonedu.com/privacy-policy/) ## About Liaison International ## Company Overview - **One-liner**: Liaison International provides enrollment management technology and Centralized Application Services (CAS) for higher education institutions, helping them streamline admissions, marketing, and student yield. - **Entity Type**: Private (Bootstrapped/Founder-led) - **Headquarters**: Watertown, Massachusetts, USA - **Founded**: 1990 - **Founders**: George Haddad (Founder & CEO) ## Core Business - **Primary industry**: Education Technology (EdTech) / Higher Education Admissions & Enrollment Management - **Target customers**: Higher education institutions (over 1,500 campuses), state systems, professional associations, and mission-aligned organizations. B2B, primarily serving universities, colleges, and graduate/health profession programs. - **Mission**: “Connecting ambition to achievement” — empowering the community with information to make decisions confidently by providing strategic resources and innovating higher education technology. ## Products & Services - **Centralized Application Services (CAS)**: A platform that centralizes the application process for discipline-specific growth, used by over 31,000 programs globally. Includes specialized offerings like ResidencyCAS for medical residency programs. - **Enrollment Marketing Platform (EMP)**: AI-powered search and omni-channel marketing campaigns to boost enrollment. - **CRM (formerly TargetX)**: Customer relationship management tool to advance enrollment strategies and build relationships with students from inquiry to graduation. - **Yield & Financial Aid Optimization**: Tools to optimize financial resources with aid packages that influence yield decisions. - **Productivity Suite**: A suite of tools to improve operations and manage program-specific processes. - **Othot (Predictive Analytics)**: A predictive and prescriptive analytics platform powered by machine learning to inform enrollment decisions. - **SlideRoom**: Portfolio-based application management for arts and creative programs. - **Time2Track**: Tracking tool for practicum and internship hours (often used in psychology/health programs). ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company). - **Key Metric**: Processes over 5 million applications annually; serves over 1,500 institutions and 40,000+ programs globally. - **Notable Investors/Partners**: Founder-led with no disclosed external investors. Partners include numerous higher education associations, state systems, and professional organizations. - **Growth Signals**: Expanding into medical residency admissions with ResidencyCAS; 35+ years of steady growth in higher education; actively hiring across engineering, sales, and IT roles. ## Competitive Advantages - **Deep Industry Expertise**: Over 35 years focused exclusively on higher education enrollment management — leadership team includes former university administrators who understand client challenges firsthand. - **Comprehensive Platform**: End-to-end suite covering marketing, application processing, CRM, yield management, and predictive analytics, creating a sticky ecosystem for institutions. - **Scale & Trust**: Trusted by over 1,500 institutions and processes millions of applications annually, giving it a dominant position in graduate and health profession admissions. - **AI & Data Maturity**: Proprietary predictive analytics (Othot) and AI-powered tools differentiate it from simpler CRM-only competitors. ## Strategic Focus - **AI Integration**: Deepening predictive and prescriptive analytics capabilities to help institutions make data-driven enrollment decisions. - **Expansion into Medical Residency**: Launching and scaling ResidencyCAS to capture a new, high-value segment of the education market. - **Platform Consolidation**: Encouraging clients to adopt the full suite of products (CAS + CRM + Marketing + Yield) to increase retention and lifetime value. - **Global Reach**: Serving programs globally and expanding partnerships with state systems and associations. ## Why Work Here - **Culture**: Described as passionate, authentic, and growing. Emphasis on collaboration, diversity, and professional development. Intracompany committees, affinity groups, and virtual DEIB training are in place. - **Flexibility**: Hybrid and remote opportunities available. Home office reimbursement for remote employees. Free gym membership for Watertown-based employees. - **Benefits**: Competitive pay, medical/dental/vision, 401k with company match, generous parental leave, flexible PTO, tuition reimbursement, pet insurance, identity theft protection, and monthly virtual wellness webinars. - **Engineering Culture**: Actively hiring for Senior Full-Stack Software Developers, QA Automation Engineers, and Data Analysts. Tech stack includes modern web development tools and cloud infrastructure. - **Stability & Mission**: 35+ year history with a clear mission in education technology — employees can feel their work directly impacts student access and institutional success. ## Sources 1. [liaisonedu.com](https://www.liaisonedu.com/) 2. [liaisonedu.com/careers](https://www.liaisonedu.com/careers/) 3. [job-boards.greenhouse.io](https://job-boards.greenhouse.io/embed/job_app?for=liaisoninternational&token=4604637008) 4. [liaisonedu.com/leadership](https://www.liaisonedu.com/leadership/) 5. 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