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update manychat's blurb
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src/content/sponsors/manychat/index.md

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@@ -3,11 +3,11 @@ name: "Manychat"
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url: "https://careers.manychat.com/"
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industry: "Technology & Marketing"
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description:
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"We help businesses grow by building meaningful customer relationships,
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powered by a leading chat marketing platform."
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"We build AI-powered chat automation for 1M+ creators and brands at real production scale."
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socials:
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linkedin: "https://www.linkedin.com/company/manychat"
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twitter: "https://x.com/Manychat_life"
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blog: "https://medium.com/manychat-engineering"
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github:
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discord:
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youtube: "https://www.youtube.com/@manychat-engineering/"
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# About Manychat
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Manychat is a leading Chat Marketing platform. We enable businesses and creators
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to drive more sales and conversions on messaging apps, such as Instagram,
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WhatsApp, Facebook Messenger, and Telegram, using automation.
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**We’re [Manychat](https://manychat.com/)! 👋🏻 Chat automation for 1M+ businesses at massive scale, with Python infrastructure that actually handles it without headaches.**
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Trusted by over 1 million brands in 170+ countries, we're an official Meta
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Business Partner, backed by top investors, including Bessemer Venture Partners.
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Bet you know this feeling all too well: deploying an LLM feature and HOPING for the best in production 🤞🏻
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Our global team of 350+ people is located around international offices in
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Austin, Barcelona, Yerevan, São Paulo, and Amsterdam. 🌏
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The costs, rate limits, provider outages taking down your entire feature… it used to haunt us, but we developed the systems that can handle it all.
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Founded in 2016, we still embrace a startup work culture — making fast
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decisions, setting ambitions goals, fostering open feedback and transparency. We
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think big and win together. 🏆
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We power chat automation for over a million creators and brands, so "the LLM is down" isn't an acceptable answer, ever. We built infrastructure that expects LLMs to misbehave:
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- Multi-provider routing that fails over from Azure to OpenAI mid-retry.
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- Weighted traffic distribution that we can rebalance without deploying code.
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- Cooldowns that pull failing backends out of rotation automatically.
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- Observability that actually helps — Prometheus metrics, Grafana dashboards, OpenTelemetry traces with business context so we know which customer's request just broke.
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We value our team, offering competitive compensation and benefits, and a hybrid
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work model to split time between home and cozy offices.
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We also monitor our asyncio event loop like hawks, because nothing ruins your day faster than discovering a blocking call is starving your entire service.
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We care intensely about our customers and their goals. By experimenting a lot
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and testing hypotheses, we continuously improve our product to help businesses
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grow and generate revenue on their social channels. That’s how we deliver
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results and dazzle our customers. ⚡️
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**And we'd love to discuss this and all things Python with like-minded people!** Come by our booth to talk to the engineers who built this infrastructure. We can tell you how we handle rate-limit cascades. How we track token costs per AI agent. What it's like to debug distributed traces when you're trying to figure out why one specific request took 6 seconds instead of 2. And anything else you'd like to know about working in such a high-load environment.
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Come see us on stage:
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- Daria Korsakova, Python Engineer at Manychat will talk about Practical observability for Python APIs, workers & jobs
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- Sergi Porta, Python Team Lead at Manychat will talk about LLM Traffic Spikes: Routing, Rate Limits, and Failover in Python
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Read the full technical breakdown of our infrastructure: https://medium.com/manychat-engineering/how-to-survive-llm-traffic-spikes-in-python-73955ee9426f
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Meet our engineering team: https://careers.manychat.com/team/engineering
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Explore open roles: https://careers.manychat.com/positions
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🚀 Ready to make an impact in a new and fast-evolving market? Explore our job
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openings here on LinkedIn, or by visiting our careers page:
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https://careers.manychat.com/

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