Forward Deployed Product Manager
Listed on 2026-07-15
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Software Development
AI Engineer (Applied/Software)
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 each month. 300 million monthly active users. We powered conversations for Door Dash, Match Group, Noom, Yahoo Sports, Rakuten, and thousands of others.
We saw early that AI would reshape how businesses talk to customers. We pivoted to an AI‑first customer experience, launched an AI agent for enterprise CX in February 2025, and rebranded to Delight.ai in November 2025.
Delight.ai is the AI concierge for customer experience. Most AI agents forget you at the moment the conversation ends. Ours doesn’t. It builds memory over time, learns preferences, and connects context across every channel—chat, SMS, email, voice, Whats App—keeping the thread.
Why Forward Deployed Product ManagerEnterprise AI deployments fail because no one bridges the gap between what a customer actually needs and what the product can do. That gap is where this role lives. We move fast—pilots become production, feedback becomes roadmap, customers become case studies. We need someone who can be in a customer’s office on Tuesday, synthesize insights for engineering on Wednesday, and refine deployment playbooks by Friday.
RoleThe 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. The role is for someone equally comfortable in a customer whiteboard session and a Git Hub issue thread.
You Might Be This Person- 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 quietly 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, and move before the plan is perfect.
- You have 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, and 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 a 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 for real work, not just experimentation.
- 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 and supporting tools to 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, ensuring nothing important is 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.
- Prior 0 to 1 experience: you’ve built and launched something from scratch, whether in a founder role or as an early team member.
- Hands‑on experience with…
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