Forward Deployed Product Manager

Most PMs write specs and wait for feedback. You'll be deploying AI agents with real customers across APAC, then turning what you learn into product direction that actually matters.

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 isn't won in the roadmap, it's won in the field. Businesses across APAC are trying to figure out what production-grade AI agents actually look like for their customers. The gap between "pilot" and "valuable at scale" is where deals are won or lost, and where the most important product learnings live.

This role exists because we need someone who can close that gap. You'll work directly with customers to get AI agents live and deliver measurable outcomes, using AI tooling to move faster, learn faster, and build smarter. Then bring what you learn back to shape the product itself. It's one of the highest-leverage roles we're hiring for right now.

If you’d like to dive deeper, check out the podcast linked for more details! 🎧 LINK

The Role

You'll own the full arc from pilot to production for APAC customers deploying our AI Agent platform: designing agents, driving adoption, and converting real-world friction into product direction. This role sits at the intersection of product, engineering, and customer success, and it's built for someone who does their best thinking in the messy middle, with AI tools in hand.

You might be this person if:

• You're more energized by a chaotic customer conversation than a perfectly formatted PRD, and you use AI to make sense of the chaos faster.
• You can walk into an ambiguous problem, ask the right three questions, and leave with a clear plan, often with an AI-assisted artifact ready before you leave the room.
• You hold strong opinions about what makes AI agents actually useful in production, not just in demos, and you can back them up with evidence.
• You find it genuinely satisfying to translate "we need this to work better" into something engineering can build, and you use agentic tools to prototype and validate before escalating.
• You get restless when you're too far from the user. You want to see the problem, not just hear about it.
• You're comfortable saying "I don't know yet" and uncomfortable staying there for long. You reach for AI tools before asking someone else.
• The idea of frequent, sometimes last-minute travel to customer sites across APAC sounds more exciting than it does disruptive.

You need to have:

• 2 to 3 years of experience in a PM or product-facing role.
• A CS degree or technical equivalent. You understand how software is built, and you use AI coding tools and agentic CLIs to close the gap between insight and execution.
• Demonstrated ability to work directly with customers and translate messy, complex needs into clear product outcomes.
• Fluency in English, with the ability to operate across the APAC region.

What you'll actually do:

• Partner with APAC customers to understand their business context and co-design AI agents that solve real problems, using agentic tools to accelerate scoping and configuration.
• Lead deployments end-to-end, from initial scoping through pilot to production rollout, building repeatable, AI-assisted workflows along the way.
• Synthesize customer feedback into structured, actionable input for product and engineering teams, using AI to surface patterns across conversations and deployments faster than any manual process could.
• Identify recurring friction points across deployments and build playbooks, automating the parts that don't need human judgment so future rollouts ship faster.
• Contribute to internal tooling that scales what works and eliminates what doesn't, including custom dashboards, lightweight apps, or workflow automations built with agentic CLIs and middleware tools.
• Act as the connective tissue between what customers are experiencing in the field and what gets prioritized on the roadmap.
• Represent the customer's reality in internal conversations with specificity, not generality, backed by AI-synthesized data where possible.

Added Value:

• Prior 0 to 1 product experience, ideally having built and launched something from scratch, whether in a founder role or as an early team member.
• Hands-on experience with agent frameworks, LLM pipelines, or AI/ML tooling.

Our KR benefits include (but are not limited to):

• Silicon Valley's equity program (1-year cliff) 
• Hybrid work policy, flexible work hours
• Be Your Best Self: 3.9 million won (prorated by start date) for expenses ranging from professional development classes and training, to personality assessments, to gym memberships, to books, to fitness classes, to mental health services, to massages
• Learn a Language benefit - up to 3.6 million won per year towards language lessons 
• Weekly team lunch cost
• Monthly team building cost
• Partial support for commuting costs
• Free parking at the Seolleung office
• Group insurance support that covers employees, spouses, and children
• Medical checkup support, including MRI and genetic testing - for the employee and one family member
• Seven additional paid holidays in addition to annual leave (Boost leave, Birthday leave, etc.)
• Support for the latest work devices, such as MacBook Pro (special support options for each job position)
• Unlimited snack bar filled with snacks, beverages, and instant noodles every day
• 12-week paid parental leave support (available for both mothers and fathers)
• Other support programs for congratulations and condolences

Flexible Work Policy

We offer a flexible work schedule at Sendbird.  We also value collaboration and relationship building.  With those values in mind, we require all employees to gather with their team in the office three days per week as a minimum.  Some of our roles require a more frequent in-office schedule.  Please work with your manager to understand the office time requirements for your position.

What diversity and inclusion mean to us

There is no such thing as a perfect candidate and the best employees come from a wide range of backgrounds, experiences, and skill sets. Sendbird is a place where everyone can learn and grow. We respect, promote, and encourage diversity for equal employment opportunities and encourage you to apply if this role excites you.

Why Sendbird

We've spent a decade earning the trust of 4,000+ brands, and now we're using everything we built to reinvent what AI-powered customer experience can actually feel like. This isn't a company hedging on AI. We went all in. If you want to work on a problem that's genuinely unsolved, with customers who are trying to figure it out in real time, and a team that moves fast enough to keep up, this is the place.