Content Production Manager

Coursera

About Coursera Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change. Read more about the combined company by visiting our blog. Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including AI-powered personalized guide and features, like Role Play and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms. Why Join Us At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.  We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to do their best work together. Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below. About the Team: Coursera’s Content & Credentials org empowers learners, partners, and enterprise customers to achieve their goals. We improve the learning experience through innovative systems, scalable solutions, and close collaboration with partners and vendors to deliver high-quality content. As champions of the Coursera community, we align cross-functional teams to drive continuous improvement across the platform. Within the Content & Credentials org, the Teaching & Learning team brings together learning design experts and researchers who provide best practices, training, and consulting for content development. We work closely with partners and content creators to design transformational learning experiences, using research, experimentation, and data insights to improve learner satisfaction, engagement, and outcomes. About the Role: The Learning Designer is a full-time, India-based role responsible for the design and development of Coursera-produced content and for supporting Coursera’s APAC partners. This role focuses on learning design, prototyping, experimenting, and ensuring high-quality vendor production through clear standards and constructive review. You will play a key role in designing, prototyping, producing, and measuring the impact of  innovative, scalable learning experiences.  To achieve this, you’ll partner with subject-matter experts (SMEs), APAC partners, and production vendors to develop asynchronous, skill-aligned, online learning content. You will produce vendor-ready design deliverables and will also collaborate with cross-functional internal teams, including Teaching & Learning, Learning Analytics, Content Production Management, and Content Maintenance & Optimization, to ensure strong alignment of design practices, share findings, and continuously improve upon our designs.  Key Responsibilities: * Lead learning design for scaled Coursera-produced learning experiences (short- and long-form) with emphasis on modular, skill-aligned design and robust assessment design. * Translate SME expertise into vendor-ready design deliverables, including learning outcomes, program outlines, sequenced learning journeys, storyboards, and/or assessment specifications. * Leverage replicable design systems, templates, and acceptance criteria to accelerate consistent production across vendors. * Collaborate on repackaging efforts: recombine modules and learning assets into new long-form offerings or program structures that align to skill outcomes. * Adhere to design standards; provide detailed, actionable feedback and Quality Assurance checks to production vendors and Coursera partners. * Contribute to pedagogical R&D and tooling: help develop AI-assisted design/production tools, templates, and prompts to increase efficiency while maintaining quality. Basic Qualifications * Bachelor’s degree in Instructional Design, Learning Sciences, Education, or a related field. * 3+ years of relevant experience in instructional/learning design, curriculum development, or learning product design. * Experience working with SMEs and external production vendors to translate designs into production deliverables. * Demonstrated experience with modular, skill-aligned course design and assessment design. * Demonstrated experience using GenAI tools for learning design, content production, or workflow management. Preferred Qualifications * Master’s degree in Education, Learning Sciences, Instructional Design, or a related field * Familiarity with Coursera’s platform, learning analytics, and data-driven optimization practices * Familiarity with authoring and design tools such as Figma, Articulate Storyline, or similar * Basic data fluency and familiarity with learning analytics tools (Looker/Tableau); comfort with experimental design or SQL is a plus * Experience communicating with external partners (e.g., clients, universities, or enterprise stakeholders) to gather requirements, set expectations, and influence design decisions For more information about how Coursera collects and uses your personal information, please see our Global Applicant Privacy Notice. To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.

Coursera

About Coursera Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change. Read more about the combined company by visiting our blog. Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including AI-powered personalized guide and features, like Role Play and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms. Why Join Us At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.  We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to do their best work together. Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below. About the Team: Coursera’s Content & Credentials org empowers learners, partners, and enterprise customers to achieve their goals. We improve the learning experience through innovative systems, scalable solutions, and close collaboration with partners and vendors to deliver high-quality content. As champions of the Coursera community, we align cross-functional teams to drive continuous improvement across the platform. Within the Content & Credentials org, the Teaching & Learning team brings together learning design experts and researchers who provide best practices, training, and consulting for content development. We work closely with partners and content creators to design transformational learning experiences, using research, experimentation, and data insights to improve learner satisfaction, engagement, and outcomes. About the Role: Job Location - Delhi-NCR/ Bangalore The Learning Designer, Technical/AI, is a full-time, India-based role responsible for the design and development of Coursera-produced content and for supporting Coursera’s APAC partners. This role focuses on learning design, prototyping, experimenting, and ensuring high-quality vendor production through clear standards and constructive review, focusing on content primarily but not exclusively in the domains of AI/ML, Computer Science, Data Science, and related areas. You will play a key role in designing, prototyping, producing, and measuring the impact of  innovative, scalable learning experiences.  To achieve this, you’ll partner with subject-matter experts (SMEs), APAC partners, and production vendors to develop asynchronous, skill-aligned, online learning content. As Coursera continues to expand its portfolio of technical, AI, and workforce-focused learning experiences, this role may also work closely with technical SMEs and contribute to the design of content in areas such as software engineering, data science, AI, cloud computing, and emerging technologies.  You will produce vendor-ready design deliverables and will also collaborate with cross-functional internal teams, including Teaching & Learning, Learning Analytics, Content Production Management, and Content Maintenance & Optimization, to ensure strong alignment of design practices, share findings, and continuously improve upon our designs.  Key Responsibilities: * Lead learning design for scaled Coursera-produced learning experiences (short- and long-form) with emphasis on modular, skill-aligned design and robust assessment design. * Partner with subject matter experts (including technical SMEs) to translate expertise into vendor-ready design deliverables, including learning outcomes, program architectures, outlines, storyboards, sequenced learning journeys, and assessment specifications, while ensuring technical accuracy and real-world applicability. * Build replicable design systems, templates, and acceptance criteria to accelerate consistent production across vendors. * Collaborate on repackaging efforts: recombine modules and learning assets into new long-form offerings or program structures that align to skill outcomes. * Adhere to design standards; provide detailed, actionable feedback and Quality Assurance checks to production vendors and Coursera partners. * Contribute to pedagogical innovation, AI-assisted design tooling, prompts, templates,agentic workflows, and technology-enabled content development processes that improve quality, scalability, and operational efficiency. Basic Qualifications * Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related technical domain. * 3–5 years of combined experience in technical domains (e.g., Computer Science, Software Engineering, AI/ML, and related areas) and/or designing, teaching, developing, or supporting technical learning experiences, curricula, or educational products. * Experience as a technical instructor, curriculum developer, subject matter expert, bootcamp educator, learning designer, or similar role supporting adult learners in higher education, professional education, or workforce development. * Demonstrated hands-on technical proficiency, including building, prototyping, or implementing software applications, AI solutions, agentic workflows, or other technology-enabled products. * Demonstrated experience leveraging GenAI technologies to solve real-world problems, improve workflows, develop educational experiences, or build AI-assisted tools and solutions. Preferred Qualifications * Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field. * Demonstrated experience with modular, skill-aligned course design and assessment design. * Experience working with SMEs and external production vendors to translate designs into production deliverables. * Familiarity with authoring and design tools such as Figma, Articulate Storyline, or similar. * Familiarity with learning analytics, data-driven optimization practices, and analytics tools (e.g., Looker, Tableau); comfort with experimental design, SQL, and the Coursera platform is a plus. * Experience communicating with external partners (e.g., clients, universities, or enterprise stakeholders) to gather requirements, set expectations, and influence design decisions. For more information about how Coursera collects and uses your personal information, please see our Global Applicant Privacy Notice. To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.

Lingaro Group

Job Summary: We are looking for an experienced Al Ops Tech Leader — Operations Support to lead the intelligent transformation of our operations support functions. This senior technical leadership role combines deep hands-on contribution to data & Al solutions that directly enhance operations support processes with strategic leadership in developing AIOps tools/platforms and driving Al technical direction for all operations support initiatives. The role is explicitly centered on operations support domains — including incident management, major incident response, problem management, change enablement, service desk / Level 1—3 support, monitoring & observability, service reliability, and operational resilience. You will remain actively involved (-40—50%) in delivering technical support in data solutions that solve real operations support pain points, while leading the design, build, and evolution of AIOps tooling and serving as the principal Al technical authority for operations support transformation programs. This is a player-coach position in the operations support space: hands-on technical delivery + team leadership + Al architecture governance for operational excellence.   Key Responsibilities Hands-on Data & Al Solutions for Operations Support •            Actively lead and contribute to high-impact data/AI projects that directly improve operations support outcomes — e.g., real-time incident enrichment, predictive alerting, automated root-cause analysis, change risk scoring, ticket clustering & autotriage, knowledge mining for support agents, and intelligent runbooks. •            Design and deliver scalable features embedded into operations support workflows and platforms (ServiceNow, Jira Service Management, monitoring tools, ITSM systems, etc.) in collaboration with multidisciplinary competency teams. •            Ensure solutions meet strict operations support SLAs for reliability, low latency, auditability, explainability, and zero-downtime deployment. •            Up-to-date with innovations and research in AIOPS Tools AIOps Tools & Platform Leadership for Operations Support •            Lead the architecture, development, and continuous enhancement of internal AIOps platforms and reusable components that power operations support teams — including integration with ITSM, observability (Prometheus/Grafana/ELK/Dynatrace/Splunk), ticketing, and automation tooling. •            Support  MLOps/AlOps best practices specifically for production operations support Al systems: model monitoring in live ops environments, drift & performance degradation detection, rollback mechanisms, and cost control at operational scale. Al Technical Leadership for Operations Support Initiatives •            Serve as the lead Al technical authority and trusted advisor for all operations support programs, automation movements, and Al transformation efforts across service operations, NOC, support desks, infrastructure operations, and reliability engineering. •            Lead technical discussions, architecture reviews, PoCs, vendor evaluations, and solution selection whenever Al is being considered or applied to operations support challenges. •            Identify, prioritize, and drive the highest-ROI Al use cases in operations support — e.g., reducing MTTR/MTTD, automating Level 1 triage, predicting PI incidents, autogenerating post-mortems, optimizing shift handovers, and enabling proactive operations support.     Team & People Leadership •            Build, mentor, and lead a high-performing squad of AIOps specialists focused on operations support outcomes. •            Foster a culture of rapid experimentation, production-first mindset, and relentless focus on operational impact (reduced toil, faster resolution, higher availability). •            Perform technical coaching, design/code reviews, and career development with emphasis on operations support domain knowledge. Stakeholder & Cross-Functional Collaboration •            Partner intensively with operations support leaders, incident managers, service owners, reliability engineers, ITSM/process teams, and infrastructure groups to align Al initiatives with operational priorities and pain points. •            Strong collaboration with DS&AI Competency.   Qualifications & Experience Required •            10+ years in data engineering, Al/ML engineering, or operations support technology roles, with 4—6+ years in technical leadership positions within operations support / IT operations / service operations environments. •            Proven track record delivering production Al/ML/data solutions that measurably improved operations support KPIs (MTT R, MTT D, ticket deflection, toil reduction, availability). •            Strong hands-on expertise with modern data/AI stacks (Python, Spark, Kafka, Airflow, cloud data platforms, PyTorch/TensorFlow, LLM frameworks) and integration into operations support ecosystems (ServiceNow, PagerDuty, Splunk, Datadog, Moogsoft, BigPanda, etc.)., Databricks, Azure/ADF.   •            Deep practical experience with AIOps patterns in live operations support settings: event correlation, anomaly detection, automated actions, predictive analytics, GenAI for ops. •            Experience leading development or significant enhancement of AIOps/internaI tooling platforms specifically for operations support teams.     Preferred •            Background in ITIL-aligned operations support processes (incident, problem, change, service request, knowledge management). •            Hands-on work with GenAl/LLM applications in operations support (ops copilots, auto-remediation agents, intelligent knowledge search, summarization of alerts/incidents). •            Prior success scaling AIOps capabilities in large-scale operations support / NOC / shared service environments. Leadership & Soft Skills •            Ability to stay deeply technical while leading people and strategy in a high-velocity operations support context. •            Excellent communication — can explain complex Al concepts to operations support practitioners and translate operational pain into technical roadmaps for executives. •            Strong bias for action, production impact, and reducing operational toil through intelligent automation.