Looking for a person with extensive experience in vibe coding to lead a practical online course called 'Vibe coding: applications without programming'. The role involves guiding non-technical participants (product managers, designers, etc.) to build functional web apps and apps using AI prompts.
Responsibilities
Share professional knowledge and experience from building practical applications using AI.
Prepare and lead engaging online lessons combining theory, live app building, and interactive exercises.
Support, motivate, and guide participants throughout the course, helping them with installation, errors, or deployment issues.
Create an open and welcoming atmosphere for participants from various backgrounds.
Keep the curriculum up to date by following news in vibe coding tools and best practices.
Senior Product Manager to take on our most important product problems.
Compensation
Competitive compensation and performance-based bonus opportunities
Responsibilities
Lead cross-functional teams of engineering, design, data, operations, and marketing, and set product strategy for the areas you take on
Write business cases for new initiatives and get leadership to back them
Work with operations, retail, customer support, compliance, and finance to turn their needs into clear product requirements
Run user research and usability studies, using AI to synthesize interviews, support tickets, and app reviews, then check its conclusions against the source
Build working prototypes with Claude Code or a similar tool and test them with customers, drivers, and store teams
Lead overall architecture design and core capability development for an AI Agent platform, including task orchestration, tool invocation, context management, memory mechanisms, and multi-agent collaboration.
Responsibilities
Platform architecture & core capability design for an AI Agent platform
Embed AI-native capabilities into engineering workflows such as AI coding, technical solution generation, test case generation, and automated environment setup/orchestration
Design, integrate, and apply enterprise knowledge enhancement capabilities including RAG, GraphRAG, and knowledge graphs
Establish AI agent runtime and governance frameworks including isolation, sandboxing, access control, auditability, quality measurement, stability, reliability, and cost management
Partner with Product, Engineering, QA, Operations, and platform teams to standardise and productionise platform capabilities
Serve as the primary technical point of contact for strategic partners, delivering timely and accurate support across all supported products and platforms
Compensation
Base Salary Range: ¥298,100 – ¥529,900 CNY gross
Responsibilities
Investigate complex technical issues end-to-end — identifying root causes, forming hypotheses, and driving solutions using diagnostic and analysis tooling
Own and drive high-profile technical escalations, coordinating across R&D and Product Management to reach resolution
Build and maintain strong working relationships with internal teams, providing structured product feedback and behavioral clarifications
Prioritize and manage a queue of concurrent customer issues with professionalism and accountability
Create and maintain knowledge articles and internal documentation to scale team expertise
Requirements
Bachelor's degree in a technical field or related experience
The Rodney L. White Center for Financial Research at the Wharton School is seeking a pre-doctoral Research Associate to support quantitative research in financial economics, focusing on monetary policy, FinTech, data economy, and wealth inequality.
Compensation
Annual salary is in the range of $56,000-58,000 plus benefits
Responsibilities
Manage and analyze large, complex datasets
Statistical analysis using programming languages such as Stata, R and Python
Perform computational work using high-performance computing resources
Intelligent use of AI and agentic coding tools
Review relevant academic literature and policy developments
The annual base salary for this role is between $175,000 - $210,000, depending on experience, with the opportunity for a performance-based bonus, company equity, 401(k) matching, paid parental leave, flexible and generous time off, work-from-home flexibility, and subsidized health benefits.
Responsibilities
Own identity data and design data models and matching logic
Build partner data mappings and maintain identifier mappings
Build and run production pipelines
Build privacy controls into identity data
Create data quality frameworks and anomaly detection
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