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описание
Krisp builds real-time Voice AI products for professionals, contact centers, and developers. Its developer products support teams creating voice agents and communication experiences through voice isolation, turn-taking, interruption prediction, voice translation, accent conversion, speech-to-text, models, SDKs, and APIs.
задачи
Own positioning and messaging for Krisp’s developer products;
Lead launches of new models, APIs, SDK capabilities, and major research improvements;
Own benchmark launches by working with research teams to understand methodology, datasets, metrics, results, and limitations;
Turn technical results into benchmark pages, launch posts, product pages, demos, and developer-facing content;
Work with researchers and engineers to identify genuine differentiation and ensure technical accuracy of claims;
Create technical sales and partner enablement materials;
Partner with Growth and Developer Marketing on distribution through search, GitHub, developer communities, ecosystem partners, newsletters, Hacker News, Reddit, and other relevant channels;
Follow the Voice AI market and bring customer, developer, and competitive insights into product positioning and launches.
требования
3–5+ Years of experience in technical product marketing, developer marketing, product, engineering, developer relations, or a related role;
Strong technical foundation and comfort with APIs, SDKs, AI/ML concepts, latency, model evaluation, datasets, benchmarks, and performance metrics;
Ability to work directly with researchers, ML engineers, and developers and speak their language;
Experience marketing technical products to developers, engineers, or technical buyers;
Strong storytelling and writing skills with the ability to explain complex technical results clearly and accurately;
Experience launching technical products, AI models, APIs, SDKs, or infrastructure products;
Strong analytical judgment around benchmarks, quantitative claims, and technical proof;
Hands-on, curious, and comfortable moving between strategy and execution;
Nice to have: background in computer science, engineering, mathematics, data science, or another technical discipline; experience with AI/ML, speech technology, developer infrastructure, APIs, or SDKs; experience publishing benchmarks, research results, technical reports, or open-source projects.