Product Designer, AI Agents
Assembledhq
| Company | Assembledhq |
| Category | Data & Analytics |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 130k–180k |
| Posted | 26 Jun 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
ABOUT ASSEMBLED
Great customer support requires human agents and AI in perfect balance, and Assembled https://www.assembled.com/customers is the only unified platform that orchestrates both at scale. Companies like Canva, Etsy, and Robinhood use Assembled to coordinate their entire support operation — in-house agents, BPOs, and AI — in a single operating system. With AI Agents that resolve cases end-to-end, AI Copilot for agent assistance, and AI-powered workforce management that optimizes both human and AI capacity, Assembled helps teams deliver faster, better service while making smarter decisions about how to staff and automate. Backed by $71M from NEA, Emergence Capital, and Stripe, we're building the platform that makes AI and human collaboration actually work.
THE ROLE
We're looking for a product designer to own the experience of our AI support products end to end: how support teams build, trust, and improve AI agents, and how those agents show up for the people who need help.
You'll join a product that's already delivering value for customers and entering its next phase of growth. Over the past few years we've built a comprehensive AI support platform spanning chat, voice, monitoring, knowledge, and agent operations. The opportunity now isn't to invent a product from scratch—it's to help define what great AI-powered support looks like as the category rapidly evolves.
You'll work directly with customers, engineers, and company leadership to shape both the near-term product and the long-term vision. The conventions for agent UX are still being written, and many of the most important questions around trust, transparency, control, and human-AI collaboration remain unsolved. You'll help answer them.
This is an onsite role based in our San Francisco office, five days a week (Monday–Friday).
WHAT YOU'LL OWN
- Design self-serve AI agent experiences that enable support and operations teams—not engineers—to configure, deploy, monitor, and improve AI agents.
- Shaping new product areas from concept to launch. You’ll clarify messy customer problems, explore solution directions, align the team, and ship experiences that customers use in production.
- Defining interaction patterns for AI-backed support. You’ll design durable primitives for building, observing, evaluating, and improving agents.
- Leading customer-centered discovery. You’ll spend time with support teams, understand how they actually operate, and translate that into product decisions the whole team can rally around.
- Prototyping quickly and concretely. You’ll use Figma and AI tools to explore ideas, test flows, and make abstract agent behavior feel tangible.
- Raising the craft bar. You’ll contribute to our design system, improve visual and interaction quality, and help make complex workflows feel clear and approachable.
WHAT EXCITES US
- 3+ years designing and shipping production B2B software. You're drawn to complex domains and can distill messy input from many people into clean, useful primitives, trading off simplicity and flexibility well.
- You can turn ambiguity into shipped product. You’re comfortable starting with an unclear problem, finding the signal, framing the tradeoffs, and driving toward a high-quality launch.
- You’re strong at systems and interaction design. You can design reusable patterns, think in primitives, and balance simplicity with flexibility as a product grows.
- Customer-driven. You love talking to users, you keep projects anchored to real needs, and you help others stay anchored too.
- You’re a strong communicator. You communicate clearly in writing and conversation, and can bring customers, engineers, and teammates along with your thinking.
- You've designed products for non-technical operators and know how to make powerful systems approachable without sacrificing flexibility.
NICE TO HAVE
- You get into the code. You've used coding agents to build, prototype