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Developer media with a sponsorship page showing produced campaign examples and describing campaign strategy and planning.
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Data Engineering Podcast
A direct editorial guest-pitch route for technical builders, with a particularly relevant AI Engineering track covering MLOps, LLM architectures, and feature stores.
Our assessment
Who this is useful for
Very strong for data infrastructure, data engineering, developer tooling, and adjacent AI engineering products. Audience noted by the source: Engineers and practitioners solving data and infrastructure problems; the show says its audience listens weekly to how people solve problems.
DevelopersAI buildersFoundersdeveloper toolsdata productspodcasts
How to participate
- Submit an engineering, architectural, or practitioner-focused pitch through the official guest form; the form offers Data Engineering and AI Engineering Podcast tracks.
- Check the channel's current eligibility, audience rules, and content or listing requirements.
- Track qualified visits, sign-ups, or partner-sourced pipeline with a channel-specific measure.
Rules and practical details
- A pitch is not an acceptance guarantee, and the page does not publish a review timeline or audience size.
- No geographic or company-stage restriction stated; both companies and individual engineers may pitch.