Top Hat

Data Scientist

• Delivering AI and analytics solutions that improve learning outcomes (e.g., withdrawal-rate reduction, mastery-based personalization, agentic AI).
• Driving the next generation of personalization across our products (Ace Practice, Study Planner, Recommendations, etc.).
• Building a strong partnership with Product Development, and Learning teams to ship data-driven features at scale.
• Cultivating a culture of curiosity, rigor, and measurable impact within your team.
• Lead & Develop the Team: Coach, mentor, and grow a team of data scientists. Foster technical excellence and career development.
• Advance AI-First Capabilities: Contribute to the design of agentic AI (using Google ADK, Vertex AI), adaptive mastery algorithms, and graph-based knowledge representations.
• Deliver Impactful Models & Insights: Drive roadmap-aligned projects such as learning mastery diagnostics, recommender systems, and A/B experimentation.
• Partner Cross-Functionally: Collaborate with Product, Engineering, Learning Materials, and Customer Success to translate educational goals into actionable AI solutions.
• Ensure Quality & Reliability: Establish standards for experimentation, model governance, bias detection, and reproducibility.
• Tell the Story with Data: Communicate complex technical concepts and evidence-of-impact to leadership and stakeholders.

Data Science Manager

Technical Product Manager

• Define and deliver value: Translate instructor and student needs into clear outcomes, measurable goals, and product hypotheses
• Run rapid experiments: Curate small, focused experiments to de-risk ideas early and validate customer value
• Collaborate closely with engineering and design: Co-plan with engineering managers and partner with design for accessible experiences
• Leverage data and AI: Use analytics and emerging AI technologies to uncover insights and enhance engagement
• Deliver and iterate with care: Manage end-to-end delivery of features and launch, measurement, and iteration
• Communicate context: Keep stakeholders aligned through clear storytelling and documentation

Data Engineer

• Play a central role in building robust BI (dimensional) and ER models that power analytics, reporting, and product-facing features
• Contribute to medallion-style architecture as a layered approach to data delivery
• Design & Model Data: Build and optimize BI-oriented dimensional models (star/snowflake) and ER data models
• Develop and maintain reliable, scalable ETL/ELT pipelines using SQL, Python/Scala, and orchestration tools (e.g., Airflow, MWAA)
• Implement validation frameworks, manage access controls, and handle PII data responsibly
• Transform and optimize structured and semi-structured data (JSON, Avro, Parquet)
• Apply graph database concepts (e.g., Neo4j) for lineage, metadata, or relationship-driven use cases
• Partner with analytics, product, and data science teams to translate requirements into robust and accessible datasets

• Develop and communicate a clear vision and strategy for the data platform, aligning with overall business objectives
• Define product goals, KPIs, and metrics to measure success and drive continuous improvement
• Create and maintain a detailed product roadmap, prioritizing features and improvements based on business value, user needs, and technical feasibility
• Manage the product lifecycle from concept through development, launch, and ongoing enhancements
• Validate features through testing and user feedback, and iterate based on findings
• Amplify the impact of other teams by empowering them with the right data to truly personalize the product experience
• Ensure the platform supports robust data governance, security, and compliance requirements
• Collaborate with data engineers and architecture to optimize data integration, quality, and accessibility
• Engage with stakeholders across the organization to gather requirements, provide updates, and gain alignment on priorities

Senior Technical Product Manager

QA Engineer

• Develop and execute test plans, test cases, and test scripts to thoroughly validate software applications and features on both Web and Mobile platforms
• Develop, write, and maintain automated test scripts. Executes tests and analyzes results to ensure software quality, identify bugs, and streamline the testing process
• Collaborate with Test and Platform teams on scaling test practices and improvements out across the rest of the organization
• Help your team speak more effectively to its domain so that team stakeholders integrate an understanding of quality into decision making
• As the voice of our customer, you work with our product management, design, user research, customer success, revenue, and marketing teams to deliver products that exceed quality expectations
• Thoroughly test new product features, ensuring they are delivered with the highest quality standards.
• Identify, track, and record defects, perform root cause analysis and support defect triage

Test Engineer

Account Executive

• You will find, create, facilitate, and close new business opportunities in your assigned accounts.
• Represent and sell the full suite of Top Hat and approved partner products and services, including Top Hat’s digital textbook content and SaaS platform.
• Effectively position & message Top Hat’s value proposition to professors or department leaders, using a mixture of inside and outside sales techniques.
• You will work closely with Customer Success Managers and internal product and marketing partners to ensure a great customer experience for professors and to maximize revenue growth.

Sales Representative, Account Executive

• Find, create, facilitate, and close new business opportunities in your assigned accounts.
• Represent and sell the full suite of Top Hat and approved partner products and services, including Top Hat’s digital textbook content and SaaS platform.
• Effectively position & message Top Hat’s value proposition to professors or department leaders, using a mixture of inside and outside sales techniques.
• Work closely with Customer Success Managers and internal product and marketing partners to ensure a great customer experience for professors and to maximize revenue growth.

Sales Representative – Account Executive

Platform Engineer

• Scale continuous deployment practices across the engineering department. Equip our teams to ship software reliably, frequently, with minimal trouble.
• Extend our reusable service template and its associated CI/CD tooling.
• Lead in efforts to further mature our cloud infrastructure and platform offering as our business grows.
• Build and extend our production observability. Help teams manage and achieve SLOs
• Contribute to the further decomposition and modernization of our monolith through its transition to services owned by product teams.
• Build and operate platform-level shared services and capabilities, such as continuous integration, continuous deployment, infrastructure automation and monitoring.
• Mentor and assist platform team members to help them acclimatize to the domain.
• Coach product teams on operational ownership. Teach blame-free root cause analysis for incidents that impact the customer or our delivery performance.
• Participate in our team on-call practices and support rotations.

• Manage and grow an assigned territory of colleges and universities in Central Florida
• Develop professional relationships with professors and department leaders to demonstrate Top Hat’s platform and products
• Convert professor relationships into clients by showing product value for engagement and learning outcomes
• Find, create, facilitate, and close new business opportunities in assigned accounts
• Represent and sell the full suite of Top Hat and approved partner products and services, including digital textbook content and SaaS platform
• Position and message Top Hat’s value proposition using inside and outside sales techniques
• Work closely with Customer Success Managers and internal product and marketing partners to ensure customer experience and maximize revenue growth
• Travel to campuses to prospect professors; spend approximately 40-50% of time on campus annually and up to 75% during sales seasons