Sendbird
Sendbird Innovation & Technology Culture
Frequently Asked Questions
AI didn't sneak up on Sendbird, we saw it coming because we were already living inside the data. We spent ten years processing billions of conversations. When large language models changed what was possible, we didn't just add AI features to an existing product. We rebuilt our entire strategic direction around it.
That's not a marketing line. In late 2024, we made the full pivot to AI-first customer experience. By early 2025, we had an enterprise AI agent in market. By late 2025, we'd rebranded entirely to reflect what we'd become. Most companies talk about innovation. We made hard calls, moved fast, and shipped.
The innovation that matters most at Sendbird isn't the pivot, it's the mindset behind it. We don't wait for the industry to tell us where it's going. We look at what we know, what we've built, and what customers need. We move before the answer is obvious. That's the thinking we hire for.
Sendbird Employee Perspectives
How does innovation show up in your company culture?
Innovation at Sendbird isn’t a top-down mandate. It shows up in how people solve problems day to day. Engineers don’t wait for permission to try something new, and that energy extends beyond product into functions like security and IT. What I’ve noticed is that the best ideas often come from people closest to the friction. Someone on the IT team sees a repetitive process, and instead of just doing it again, they ask, “What if this didn’t exist?” That instinct, to question the default, is what makes the culture feel genuinely innovative rather than just aspirationally so.
What’s one recent innovation that improved user or employee experience?
One that stands out is our push to make AI a real part of how “Sendbirdians” work, not just a tool that sits in a browser tab. We’ve been focused on practical enablement: helping employees understand where AI actually fits into their workflows and building the internal tooling to support that. The shift we’ve seen is people going from, “I tried ChatGPT once” to genuinely rethinking how they draft, analyze, and communicate. That change in behavior is the innovation. The technology was just the catalyst.
How do you balance experimentation with stability?
Be aggressive about where you experiment and ruthless about what you protect. Not everything deserves the same risk tolerance: Core security controls get rigor, a new workflow or integration can move fast. The discipline is knowing which category something falls into before you start, not after something breaks. We operationalize this by building guardrails, pre-approved tools, sandboxed environments and clear AI data handling guidelines so people can experiment without needing to ask security for permission every time. When guardrails are well-designed, they don’t feel like walls. They feel like a running track. You know exactly where you can go fast.
How does your team stay ahead of emerging technology trends while scaling fast?
We don’t think of it as “staying ahead of trends;” we think of it as staying close to customers. We process over 7 billion conversations a month across our platform, so we see how real people interact with AI before it becomes a headline. That proximity is our advantage. When we noticed customers were frustrated by AI that couldn’t remember them from one conversation to the next, we didn’t wait for an industry report to tell us memory mattered. We built it. The best trend radar is just listening really carefully to what’s not working yet.
What recent product or feature are you most proud of — and what impact has it had?
Our Agent Memory Platform, and I’m proud of it because it solved a problem that most companies haven’t even named yet. Right now, the vast majority of AI in customer experience is stateless. Every conversation starts from zero. Customers repeat themselves, get generic responses, and the relationship never deepens. We built a memory layer that lets AI agents actually learn and remember each customer over time — their preferences, their history, the little details that make someone feel seen. It turns what used to feel like talking to a stranger every time into something that genuinely compounds. The shift from “chatbot” to “concierge” sounds like marketing until you watch a customer react to an AI that actually knows them. That’s the moment I’m most proud of.
How do you create a culture where innovation and experimentation are encouraged daily?
Innovation has been part of Sendbird’s DNA from day one, not as a buzzword, but as survival. We’ve reinvented ourselves multiple times: from a startup in 2013, to Y Combinator, to pivoting entirely to B2B, to becoming the world’s number one conversations API, to now building Delight, our branded AI concierge platform. Each of those transitions required the whole company to let go of what was working and bet on what could work better. When your people have lived through that kind of reinvention and thrived, experimentation isn’t something you have to encourage. It’s just how the company breathes.
That starts with who we hire. We look for people who are genuinely restless. The kind of person who sees how something works and immediately starts thinking about how it should work. That restlessness matters more than pedigree because you can’t teach someone to be uncomfortable with the status quo.
And we back it up by treating failed experiments as information, not failures. When something doesn’t land, the question here is, “What did we learn?” not “Whose fault is it?” That sounds simple, but most companies get it backwards.
Sendbird Employee Reviews
