Sr. Content Optimization Engineer
Role Overview
The Sr. Content Optimization Engineer, Hands-On Learning, is a full-time APAC-based remote position focused on optimizing and enhancing the quality of technical course content within the Computer Science, Data Science, IT, AI, and Engineering domains. This role is dedicated to improving learner engagement, satisfaction, and retention by refining course content and guiding strategies and new experimentation for hands-on learning experiences. The role’s mission is to help increase access to high-quality and industry-relevant hands-on learning experiences that help learners master the technical skills they need to reach their career and learning goals.
We’re looking for a Contract Solutions Engineer who will work alongside Coursera’s Solutions Engineers and university and faculty Subject Matter Experts to build virtual learning labs and autograders on our advanced technical platform features. The Software Engineer should have experience working and consulting with STEM subject-matter experts, and be comfortable building basic Docker container-based applications. This role will support partners producing Computer Science, Data Science, and Engineering domains, where a STEM background (whether through formal education or relevant industry experience) is required.
Responsibilities
Lead Technical Optimization Implementation: Collaborate with internal teams, data scientists, product, and industry Subject Matter Experts to develop, prioritize, and manage technical and hands-on learning course optimization opportunities and resourcing required.
Technical Build & Optimization of Hands-On Learning Environments: Edit, create, and refine identified virtual learning environments, including labs, autograders, code blocks, Coach, and AI Grading opportunities based on learner feedback and data. Customize and maintain Docker container-based applications to support various technical learning environments and troubleshooting as needed.
Monitor Success Metrics of Optimizations: Utilize data analysis and course metrics to track the success of technical content optimizations over time. Your shared goal will be to positively impact learner engagement, retention, and skill development metrics through optimization updates.
Map Technical Optimization Challenges to Platform Solutions: Onboard to Coursera’s hands-on learning feature set, including Labs, Programming Assignments, Code Blocks, Coach, and AI Grading features. Use this knowledge to help consult on and brainstorm effective, efficient, and creative platform solutions for optimization opportunities and leverage.
Implement partner feedback through Agile Development processes: Use an agile development framework and predefined sprint timelines to meet delivery milestones and incorporate learner feedback to final high-quality standards
Conduct quality assurance on optimizations based on predefined checklists: Conduct quality assurance and end-to-end testing to ensure updated technical content meets predefined standards and best practices and is launch-ready.
Document your code: Utilize industry best practices to document code, ensuring easy maintenance and hand-off for continued content optimization.
Communicate & Document Product Enhancements & Feedback: Document and communicate product enhancements that could improve the technical build and learning experience to our product and engineering teams
Qualifications
Skills Required for this position:
Technical consulting, Product knowledge; Communication; Relationship & influence; Customer empathy; Time Management; Ability to give/take constructive feedback; Teamwork
Basic Qualifications:
3+ years of professional experience, including at 2+ years of technical experience
HTML, CSS, JavaScript and programming proficiency in Python or another programming language, comfort with CLI tools
Demonstrated experience in debugging and troubleshooting skills, with the ability to pick up new languages and frameworks quickly
Proficiency with Generative AI tools, Agents, and Prompt Engineering
Data-driven and proficient in basic data analysis
Demonstrated ability to build strong rapport with internal and external stakeholders
Knowledge of software build, testing, and versioning best practices (Github and Version Control tools)
Experience with Docker
Experience with the following IDES: Jupyter Notebooks, RStudio, Visual Studio Code, Eclipse, Intellij
Strong bias for action and ability to manage numerous projects and schedules simultaneously in a fast-paced environment.
Strong business acumen and consulting experience to effectively translate learning objectives into practical course enhancements.
Preferred Qualifications:
Experience with Test Driven Development (TDD) and related methodologies.
Knowledge and experience in pedagogical principles and patterns to guide the creation of effective learning experiences.
Sr. Content Optimization Engineer
Role Overview
The Sr. Content Optimization Engineer, Hands-On Learning, is a full-time APAC-based remote position focused on optimizing and enhancing the quality of technical course content within the Computer Science, Data Science, IT, AI, and Engineering domains. This role is dedicated to improving learner engagement, satisfaction, and retention by refining course content and guiding strategies and new experimentation for hands-on learning experiences. The role’s mission is to help increase access to high-quality and industry-relevant hands-on learning experiences that help learners master the technical skills they need to reach their career and learning goals.
We’re looking for a Contract Solutions Engineer who will work alongside Coursera’s Solutions Engineers and university and faculty Subject Matter Experts to build virtual learning labs and autograders on our advanced technical platform features. The Software Engineer should have experience working and consulting with STEM subject-matter experts, and be comfortable building basic Docker container-based applications. This role will support partners producing Computer Science, Data Science, and Engineering domains, where a STEM background (whether through formal education or relevant industry experience) is required.
Responsibilities
Lead Technical Optimization Implementation: Collaborate with internal teams, data scientists, product, and industry Subject Matter Experts to develop, prioritize, and manage technical and hands-on learning course optimization opportunities and resourcing required.
Technical Build & Optimization of Hands-On Learning Environments: Edit, create, and refine identified virtual learning environments, including labs, autograders, code blocks, Coach, and AI Grading opportunities based on learner feedback and data. Customize and maintain Docker container-based applications to support various technical learning environments and troubleshooting as needed.
Monitor Success Metrics of Optimizations: Utilize data analysis and course metrics to track the success of technical content optimizations over time. Your shared goal will be to positively impact learner engagement, retention, and skill development metrics through optimization updates.
Map Technical Optimization Challenges to Platform Solutions: Onboard to Coursera’s hands-on learning feature set, including Labs, Programming Assignments, Code Blocks, Coach, and AI Grading features. Use this knowledge to help consult on and brainstorm effective, efficient, and creative platform solutions for optimization opportunities and leverage.
Implement partner feedback through Agile Development processes: Use an agile development framework and predefined sprint timelines to meet delivery milestones and incorporate learner feedback to final high-quality standards
Conduct quality assurance on optimizations based on predefined checklists: Conduct quality assurance and end-to-end testing to ensure updated technical content meets predefined standards and best practices and is launch-ready.
Document your code: Utilize industry best practices to document code, ensuring easy maintenance and hand-off for continued content optimization.
Communicate & Document Product Enhancements & Feedback: Document and communicate product enhancements that could improve the technical build and learning experience to our product and engineering teams
Qualifications
Skills Required for this position:
Technical consulting, Product knowledge; Communication; Relationship & influence; Customer empathy; Time Management; Ability to give/take constructive feedback; Teamwork
Basic Qualifications:
3+ years of professional experience, including at 2+ years of technical experience
HTML, CSS, JavaScript and programming proficiency in Python or another programming language, comfort with CLI tools
Demonstrated experience in debugging and troubleshooting skills, with the ability to pick up new languages and frameworks quickly
Proficiency with Generative AI tools, Agents, and Prompt Engineering
Data-driven and proficient in basic data analysis
Demonstrated ability to build strong rapport with internal and external stakeholders
Knowledge of software build, testing, and versioning best practices (Github and Version Control tools)
Experience with Docker
Experience with the following IDES: Jupyter Notebooks, RStudio, Visual Studio Code, Eclipse, Intellij
Strong bias for action and ability to manage numerous projects and schedules simultaneously in a fast-paced environment.
Strong business acumen and consulting experience to effectively translate learning objectives into practical course enhancements.
Preferred Qualifications:
Experience with Test Driven Development (TDD) and related methodologies.
Knowledge and experience in pedagogical principles and patterns to guide the creation of effective learning experiences.