Propose solutions to optimize the speed of hiring developers at Revolut.

To optimize developer hiring at Revolut, I would first seek to understand the current hiring funnel, identifying key drop-off points, bottlenecks, and the duration of each stage. Understanding existing notification and reminder systems is also crucial.

My proposed solutions would focus on:

1. Streamlining the Application and Screening Process: Implementing automated initial screening for technical skills and cultural fit, potentially using coding challenges or AI-powered resume analysis, to reduce the time to first interview.
2. Optimizing Interview Stages: Standardizing interview questions and evaluation criteria across all interviewers to ensure consistency and reduce decision-making time. Exploring the possibility of combining certain interview rounds or conducting them more efficiently.
3. Improving Candidate Experience: Proactive communication and timely feedback are paramount. Implementing automated status updates and ensuring prompt responses to candidate queries can significantly reduce candidate drop-off and improve offer acceptance rates.
4. Leveraging Technology: Utilizing an Applicant Tracking System (ATS) effectively for managing candidates, scheduling interviews, and tracking progress. Exploring tools for automated reference checks.
5. Data-Driven Approach: Continuously analyzing hiring metrics (time-to-hire, offer acceptance rate, source of hire) to identify areas for further improvement and measure the impact of implemented changes.

These solutions would be prioritized using a framework like ICE (Impact, Confidence, Ease) and presented to management with a clear roadmap, outlining expected benefits, potential risks, and resource requirements.