Design AI-native experiences such as chat, copilots, human-in-the-loop flows, fallbacks, and feedback loops, and define the evaluations that determine whether they work.
Product Analysis: Analyse user feedback, competitor research and relevant data to identify product issues, propose improvement recommendations, and support continuous product iteration.
Develop programmes that enable learners and companies to apply AI workflow automation, AI agents and low-code/no-code technologies to improve productivity and business processes.
Ensure every roadmap initiative has a clear product narrative explaining the intended user outcome and the technical capability being delivered, including its relationship to models, data, benchmarking, optimization, infrastructure, scheduling, inference, or agentic applications.
Understand Meta's strategic and competitive position in commerce and creator monetization to deliver products that are aligned with our mission and competitive in the industry
#4: Reconciliation. Own straight-through reconciliation to the ledger: categorisation, posting, and the month-end close for each customer. Measure and move the reconciliation rate, precision of auto-posted entries, rework rate and on-time close, and own the exception queue that accountants work from when the system cannot decide