

Search by job, company or skills
About ETS:
ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL®, TOEIC®, GRE® and Praxis® tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide.
Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide.
Job Description:
The Lead Product Manager will develop & launch Institutional Products (IP), draft the product strategy, and plan execution by collaborating with technical teams. The ideal candidate will possess experience in product development and modern product management processes in diverse industries. The Product Manager reports to either a more senior Product Management leader or a divisional business leader.
Primary Responsibilities
Required Experience:
Education and Experience
Job ID: 152361703
Skills:
Cloud Infrastructure, Gcp, Clustering, Splunk, New Relic, Predictive Analytics, Dynatrace, Machine Learning, Datadog, AWS, Azure, LangChain, Retrieval-Augmented Generation, Root Cause Analysis, correlation algorithms, platform engineering, anomaly detection, BigPanda, time-series forecasting, AIOps, ServiceNow ITOM, automated remediation, LLM prompting, observability, product management, event correlation, Generative AI, noise reduction
Skills:
Audio Classification – YAMNet, Face Recognition – w600k r50, Gaze Detection – MediaPipe, Caching Monitoring Redis Kibana, Backend Node.js, Frontend React.js, DevOps CI CD Docker Kubernetes, AI ML model integration, Databases MongoDB PostgreSQL, Messaging Streaming WebSockets RabbitMQ Kafka, Object Detection – YOLO, Spoof Detection – SilentFace, Face Detection – BlazeFace