Daniel Brown is a growth-focused media and ad-tech executive with nearly two decades of experience architecting scalable content, product, and revenue strategies—most recently serving as Chief Revenue Officer at Noisy Creek after a long tenure building Prime Video’s advertising and content businesses at Amazon. He combines sharp commercial instincts with technical product leadership, having launched Prime Video in 2011 (closing 19 of the first 21 deals), led ad-supported product rollouts across 10+ locales, and grown monetization teams from dozens to hundreds worldwide. Comfortable operating at both C-suite strategy and hands-on execution levels, he builds operating principles, prioritization frameworks, and repeatable roadmaps that endure through reorganizations and market shifts. A collaborative negotiator, he has closed exclusive content partnerships (e.g., Downton Abbey, early A24 output) by leveraging long-term industry relationships and personal credibility. Outside of enterprise work, he contributes to open-source developer tooling as a backend contributor to well-known community projects like the Python Discord bot, reflecting a pragmatic coder’s curiosity. Based in Seattle and shaped by community and collegiate sport roots, he’s actively pursuing board and local engagement in independent film, collegiate sports, and environmental initiatives.
8 years of coding experience
9 years of employment as a software developer
BA, English, Economics, BA, English, Economics at Brown University
The community bot for the Python Discord community
Role in this project:
Back-end Developer
Contributions:45 reviews, 89 commits, 25 PRs in 2 years 2 months
Contributions summary:Daniel's primary contributions involved enhancing the Python Discord bot. They focused on implementing features related to code formatting, message editing, and reaction handling to improve the user experience within the community. Key additions include a system for detecting and correcting poorly formatted Python code blocks, providing automated feedback to users. Further development centered on adding functionality to remove bot messages through reactions, thus facilitating more effective moderation.
A Discord bot started as a community project for Hacktoberfest 2018, later evolved to an introductory project for aspiring new developers starting out with open source development.
Role in this project:
Backend Developer
Contributions:3 reviews, 9 commits, 3 PRs in 2 years 6 months
Contributions summary:Daniel primarily contributed to the bot's backend functionality, as evidenced by the linting corrections and modifications to the `bot/__main__.py`, `bot/cogs/movie.py`, `bot/cogs/hacktoberstats.py` and `bot/__init__.py` files. They made adjustments to incorporate new features and fix existing issues, including adding new channels in `bot/constants.py` for SeasonalBot functionality. The user also worked on automatically linking issues from GitHub by modifying the `bot/exts/evergreen/issues.py` file, demonstrating their focus on improving the bot's integration with GitHub.
pythondiscordbotdiscord-botintroductory
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Daniel Brown - Chief Revenue Officer (CRO) at Noisy Creek