Partner directly with university customers to solve their biggest challenges using data, AI, and web technologies.
Work in small, cross-functional teams, owning end-to-end delivery of high-stakes projects from requirements gathering and architecture to code, deployment, and ongoing support.
Rapidly understand complex customer workflows and pain points and translate domain needs into technical solutions.
Own design, development, testing, and deployment of custom features and integrations; collaborate with product managers, designers, engineers, data scientists, and customer success.
Leverage large-scale datasets, LLMs, and AI agents to surface insights and automate workflows; build dashboards, APIs, or custom agents.
Conduct occasional on-site discovery, workshops, training, and deployments; travel to client sites as needed.
Influence product direction and drive measurable impact for education institutions.
Requirements
3+ years of product management, startup strategy & operations, consulting, investment banking, or software engineering experience, ideally including roles that involved solution delivery and customer-facing projects.
Proven ability to own complex projects end-to-end in a fast-moving environment.
Deeply analytical, with a knack for breaking down ambiguous challenges into concrete solutions.
Eagerness to learn new tools, frameworks, and research - especially in ML/AI.
Excellent interpersonal skills: able to bridge technical and non-technical audiences.
Humble, pragmatic, and coachable - valuing feedback and always seeking to raise the bar.
Making your work visible: share what you learn from customers with the broader org and make sure nobody is ever surprised by project status.
Aspires to grow into an engineering leader or product-centric role.
Comfortable stepping into uncharted territory and defining what "done" looks like.
Willingness to travel occasionally to client sites for discovery, workshops, training, and deployments.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisAIweb technologiesproject managementsolution deliverymachine learningAPI developmentdashboard creationcustom feature developmentintegration development
Soft skills
interpersonal skillsanalytical thinkingproblem-solvingcommunicationcollaborationadaptabilitycoachablefeedback receptivenessvisibility in workleadership aspiration