Forward Deployed Product Manager

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 Door Dash, 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.

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, Whats App, without losing the thread. We re building AI that makes customers feel understood, seen, and remembered.

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 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 Git Hub issue thread.

• 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

• 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

• Embed with enterprise customers to map their CX workflows, then design and deploy AI agents, using Delight.ai s platform alongside supporting tools and automations, that deliver measurable business outcomes
• Run the full deployment lifecycle from scoping and configuration through testing, go-live, and post-launch iteration, using AI-assisted workflows to move faster at every stage
• Surface field insights and translate them into crisp, prioritized feedback for product and engineering teams
• Build and refine internal playbooks and tooling, including AI-powered templates and automated reporting, that make every future deployment faster and more reliable
• Act as the connective tissue between customer success, engineering, and product. Make sure nothing important gets lost between teams
• Identify patterns across deployments that point to product gaps or opportunities, and advocate for them with data and customer evidence
• Co-own deployment outcomes with customers. You re not handing off a ticket. You re accountable for what gets built