Decagon

We’re hiring an AI Solutions Architect at Decagon! If you're an engineer who loves creating scalable internal tools, automating workflows, and turning ad-hoc processes into elegant systems, this is your chance to do it inside one of the fastest-growing companies in AI. As an AI Solutions Architect, you will: 🛠️ Architect internal tools that turn complex product launches into seamless operations 📊 Build feedback loops that bring customer insight directly into product strategy 🧠 Design proactive systems that surface risks and drive operational readiness 🤝 Collaborate cross-functionally across Product, Ops, Engineering, and more 🚀 Prototype fast using ChatGPT, Jupyter Notebooks, Retool, and beyond We're looking for systems thinkers with a builder’s mindset, who thrive in ambiguity and are obsessed with scale. Application link is in the comments!

The most important thing for startups to get right in the first year (or before $1m ARR) is the early team. Every subsequent hire will look at the early team and think: "Do I fit in with these people? Would I be inspired to work with them every day?" At a certain point, the quality of the company == the quality of the team, especially today, where there are so many early-stage companies, and ideas are relatively cheap. Of course, the folks you can recruit will depend on many things, like your traction, network, etc., but the point is that this shouldn't be something that you rush into or compromise on. It's not something you can "fix later". My view is that generally, you want to start with generalists (who lean more senior), and add in specialists (and high-slope younger folks) as parts of the company solidify. Building a truly elite team is difficult and requires the founders to spend a ton of time. The same philosophy applies after the early stage. For every hire you make, you should reflect on whether they will attract even stronger folks. Everything compounds! 🙂

A huge thank you to our customers and industry leaders who joined us for dinner at Cotogna in SF last week! It was a lovely evening co-hosting with Latitude Capital Founder Ansaf Kareem. We’re grateful to everyone who made the time to connect, share stories, and talk about the future of customer experience. It’s always inspiring to be surrounded by people who are rethinking what’s possible and building for it. Looking forward to continuing the conversation!

Every touchpoint in retail is an opportunity to wow your customer. In our latest blog post, Matt Savage explores how AI agents help retailers deliver fast, personalized, on-brand experiences at scale and across every channel: 🛒 Instantly resolve WISMO, returns, and account questions 📦 Scale effortlessly during surges and product drops 🧭 Convert more with pre-sales guidance and recommendations 🎙️ Stay on-brand across chat, email, and voice 🔍 Spot friction fast with real-time support insights See why leading brands choose Decagon to move faster and turn support into a growth engine for their business. 👇 Full post in the comments.

It’s easy to watch the AI talent wars and think they only matter to Big Tech. But this stuff doesn’t just affect OpenAI and Meta. As AI talent gets more scarce and expensive, deciding which parts of your AI systems to build in-house becomes critical. This isn’t a question of capability, because these teams are incredibly sharp. The bigger question is where you want to spend your best people’s time. I’ve talked to teams who want to build everything from scratch. Sometimes it makes sense, but more often than not, the opportunity costs are far too significant. At Decagon, our focus is giving you the controls to quickly build AI agents customized to your business, while abstracting away the complexity you shouldn’t need to worry about: managing inference clusters, orchestrating and parallelizing workflows, keeping responses grounded, etc. There’s a time to build, but there’s also a time to pick your battles. And with AI moving this fast, misjudging that can be very, very expensive.

This Wednesday (August 6), join Max Lowenthal and Bihan Jiang for a conversation on how AI agents are transforming the product-CX partnership from siloed functions to a seamless, insight-driven feedback loop. You’ll hear: 💬 How AI is making customer signals richer and more actionable ⚡ Why tighter CX alignment leads to faster, smarter product iteration 🔍 Real stories of CX feedback directly shaping product decisions 🧠 The mindset shift today’s PMs need to stay ahead It’s a must-attend session for anyone building AI-powered, customer-centric experiences. 🗓 Wednesday, August 6 🕘 10am PT / 1pm ET 🔗 Register today: https://lnkd.in/gty9grk3

Watching a company as beloved and impactful as Figma reach this milestone is nothing short of inspiring. From redefining collaborative design to building a product that teams around the world genuinely love, this is a well-earned moment. We’re lucky to work with some of the most visionary teams out there— and Figma is one of them. It’s always special to see our customers win big. Congratulations to Dylan Field, Heath Rogers, and the entire Figma team! 🎉

We're hosting an evening of conversations, networking, and light bites at Accel's rooftop in SF! We’ll be sharing how our AI agents are redefining customer experience and the unique roles we’re hiring for, including Agent Software Engineers and Agent PMs. If you’re excited about building AI that solves real problems at scale and want to work with a world-class team, then come say hello! 📍 Location: Accel, 35 S Park St, San Francisco, CA 📅 Date: Thursday, August 7th ⏰ Time: 6:00 PM – 8:00 PM 🔗 Registration link in the comments.

How do we keep our AI agents on-brand, compliant, and trustworthy at scale? In our latest blog post, Sangwoo Bae breaks down the layered guardrail system we’ve built to ensure predictable, reliable agent behavior before, during, and after every customer interaction. 🔒 Before – Regression testing catches failures before they ever reach production 🔒 During – Real-time guardrails monitor for hallucinations, bad actors, and topics that require human escalation 🔒 After – Decagon Watchtower reviews every conversation for compliance, anomalies, and improvement opportunities Even with highly capable models, unpredictability in just a small percentage of conversations can create serious risks for your business. Whether you're a CX leader, product owner, or engineer deploying AI agents in the wild, this blog is for you. 👇 Full post in the comments.

Great night in Dallas! Huge thanks to the customers and prospects who joined us for dinner. We always walk away from these conversations with sharper insights and even more conviction in what we’re building.