Learning Commons

Data Scientist

• Define evaluation frameworks for AI-powered education tools (e.g., LLM-based systems, adaptive learning systems)
• Design and analyze experiments across structured and unstructured data (A/B testing, quasi-experimental methods, causal inference)
• Translate findings into clear recommendations for product and research partners
• Collaborate cross-functionally with Product, Engineering, Learning Science, and external partners
• Contribute to best practices for responsible AI evaluation, including bias, fairness, and reliability

Senior Data Scientist, Education

Manager

• Execute the Trust strategy across AI systems, APIs, data platforms, and partner integrations, ensuring product integrity and compliant use of data at scale.
• Own and define trust requirements for consent alignment, API access controls, retention controls, deletion workflows, user rights, data licensing, and data use restrictions.
• Establish, document, and maintain clear governance standards and policy frameworks across the AI and data lifecycle.
• Identify and mitigate structural risks across the AI and data lifecycle.
• Collaborate with Legal, Product Counsel, Privacy, and Security to translate GDPR, CCPA/CPRA, and emerging AI regulations into documented policy guidance.

Product Trust Manager

Technical Program Manager

• Own, lead and deliver complex, multi-quarter, high-visibility technical programs spanning engineering, data science, product, and external partners
• Proactively identify systemic risks, structural gaps, dependencies, and tradeoffs early; propose mitigation strategies and drive resolution at both program and operating-model levels
• Establish clear success metrics and reporting mechanisms across programs
• Influence sequencing, prioritization, and resource tradeoffs across concurrent initiatives in partnership with leadership.
• Coordinate projects related to building, buying, or partnering to obtain critical datasets
• Partner with engineering and data teams to align on architecture, sequencing, and delivery milestones
• Support vendor evaluation and procurement processes when external data or tooling is required
• Ensure appropriate documentation, compliance, and scalable data governance standards are embedded in delivery and aligned with organizational risk frameworks.
• Design and standardize Jira governance and planning frameworks across teams, including workflows, taxonomy, reporting structures, and backlog management standards
• Standardize program tracking, sprint planning, roadmap visibility, and cross-team dependency management
• Establish durable operating rhythms (quarterly planning, milestone reviews, executive updates, retrospectives) that scale with organizational growth
• Enable leadership visibility into program health through dashboards and structured reporting
• Advise and serve as a connective layer across Engineering, Product Management, Data Science, Operations, Legal, Finance, and external collaborators
• Drive alignment on priorities, sequencing, and capacity planning across Product, Engineering, Data, and Initiative leadership
• Communicate program updates clearly to technical and non-technical audiences
• Influence decision-making and drive accountability through clear communication of tradeoffs, risks, and delivery implications — without formal authority.
• Contribute to a collaborative, inclusive, and outcomes-focused team culture

Principal Technical Program Manager, Education

Full-stack Engineer

• Build Across the Stack – Design and implement scalable backend services, APIs, and infrastructure that power our Learning Commons platform and AI-enabled tools.
• Strengthen Cloud & DevOps Foundations – Improve cloud infrastructure, data pipelines, CI/CD workflows, and deployment automation to increase reliability and developer velocity.
• Own Reliability & Performance – Enhance observability, monitoring, and incident response practices; debug and resolve production issues across application and infrastructure layers.
• Improve Scalability & Developer Experience – Identify bottlenecks and drive pragmatic improvements that make systems faster, safer, and easier to build on.
• Collaborate & Raise the Bar – Partner with product, data, security, and platform teams; contribute to design discussions, code reviews, and shared engineering standards.

Senior Data Scientist, Education

Product Trust Manager

Principal Technical Program Manager, Education

Senior Software Engineer, Platform