Forward Deployed Product Manager

Most PMs sit behind a roadmap. You'll be in the room where the AI actually gets deployed, then back at HQ making sure what you learned changes the product.

The Company 

Sendbird is on a mission to build the AI workforce of tomorrow. For over a decade, we built the infrastructure behind conversations, chat, voice, video, messaging APIs, and became the #1 CPaaS platform for in-app communications. 4,000+ brands trust us. 7 billion messages flow through our platform every month. 300 million monthly active users.

We powered conversations for DoorDash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others. We were good at what we did. Really good.

We also saw it early: AI would fundamentally reshape how businesses talk to customers. The infrastructure we'd spent a decade building would become commoditized. The value would move up the stack, into intelligence, into experience, into outcomes.

We had a choice: protect what we built, or reinvent ourselves.

We chose reinvention.

In December 2024, we made the full strategic pivot to AI-first customer experience. By February 2025, we'd launched our AI agent for enterprise CX, built on a decade of conversation data, now with intelligence on top. And in November 2025, we rebranded to Delight.ai.

The name says it all. AI's real promise isn't efficiency or cost savings. It's giving customers back something they lost, the feeling of being truly understood and cared for. Not satisfied. Delighted.

The Product 

Delight.ai is the AI concierge for customer experience. Most AI agents forget you the moment the conversation ends. Ours doesn't. Delight.ai builds memory over time, learns preferences, and connects context across every channel, chat, SMS, email, voice, WhatsApp, without losing the thread. We're building AI that makes customers feel understood, seen, and remembered.

Why Forward Deployed Product Manager

Enterprise AI deployments don't fail because the technology is wrong. They fail because no one bridges the gap between what a customer actually needs and what the product can actually do. That gap is where this role lives.

We're moving fast. Pilots becoming production, feedback becoming roadmap, customers becoming case studies. We need someone who can be in a customer's office on Tuesday, synthesizing insights for engineering on Wednesday, and refining deployment playbooks by Friday. If you want to shape how an AI agent platform goes to market in real time, there is no better seat in the house.

The Role

The Forward Deployed PM owns the full arc from pilot to production for Delight.ai's AI Agent platform, working directly with customers to deploy, iterate, and prove value, then translating what they learn into product direction back home. This role is for someone equally comfortable in a customer whiteboard session and a GitHub issue thread.

You might be this person if:

• You get restless behind a desk. You'd rather be in front of a customer untangling a messy problem than writing a spec about one
• You can read a room: you know when to lead a conversation and when to shut up and listen
• You naturally translate vague customer pain into crisp, actionable product language, and you're already reaching for an AI tool to help structure it faster
• You treat ambiguity as a starting point, not a blocker. You move before the plan is perfect
• You've got a traveler's mindset. A last-minute flight to close a deployment doesn't stress you out, it energizes you
• You obsess over whether a thing actually works in the real world, not just in a demo
• You learn fast and publicly. You're not precious about being wrong if it means getting to right faster

You need to have:

• 2 to 4 years in a PM or product-facing role, with strategy consulting background as a strong plus
• A CS degree or technical equivalent. You understand how software is built even if you're not writing it day-to-day
• Hands-on familiarity with AI tools, agent frameworks, or LLM-based systems. You've used them to do real work, not just to experiment
• Ability to be in our San Mateo office a minimum of 3 days per week and to travel frequently, sometimes on short notice
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