Principal Product Designer, Agentic Chat

ZoomInfo Technologies LLC; Waltham (MA); Vor Ort; USD 171.000 - 269.000; Vollzeit

Zusammenfassung

ZoomInfo Technologies LLC in Waltham, MA is seeking a product designer to own end-to-end agentic chat experiences in GTM One, from behavior and trust to costs, proof-before-launch, and shipping in code.

You will lead the agent experience across universal chat, design interaction patterns for artifacts and automations, and build cost-estimation moments into chat so customers understand actions before and after they run.

Qualifikationen

• 2+ years designing AI or agentic products with the product itself as the model
• Experience running evals and determining readiness after real users
• Prototyping with AI coding tools and reading backend contracts
• Knowledge of latency, streaming, tool calling, confidence, and failure modes in production
• Collaboration with engineering in shipping customer-facing experiences

Aufgaben

• Own end-to-end agentic chat experiences in GTM One.
• Lead agent experience across universal chat and how status is communicated.
• Design patterns for artifacts, apps, and automations built on context.
• Incorporate cost estimation and credit-approval moments into chat interactions.
• Use evals to confirm readiness before launch and guide changes post-launch.
• Define trust mechanics for surfacing failures and uncertainty.
• Prototype in code and ship proposals alongside engineering.
• Collaborate with product management and engineering on orchestration and tooling.
• Define problems and solutions as a product thinker across your scope.

Kenntnisse

AI product design

Eval experience

Code prototyping

LLM in production

Engineering collaboration

Tools

Figma

AI coding tools

Jobbeschreibung

Own end-to-end product design for agentic chat experiences in GTM One at ZoomInfo, from behavior and trust to costs, proof-before-launch, and shipping in code.

Responsibilities

• Lead the agent experience across universal chat, including how the agent communicates status, requests input, and reports progress on long-running work.
• Design interaction patterns that let agents create artifacts, apps, and automations built on context, including how those outputs appear to the customer.
• Build cost estimation and credit-approval moments into chat so customers understand what an agent action costs before and after it runs.
• Use evals as a design instrument: apply evaluation results to confirm readiness before launch and decide what to change after real users engage.
• Define trust mechanics for calibrating confidence in agent output, including how failures, uncertainty, and partial results are surfaced.
• Prototype in code: open pull requests and ship working proposals alongside engineering.
• Partner with product management and engineering on orchestration and tool infrastructure while owning the customer-facing experience.
• Define problems alongside solutions, using thin briefs and operating as a product thinker across the scope you own.

Requirements

• At least 2 years designing AI or agentic products where model behavior was the product itself (not AI features layered onto a conventional surface), with the ability to discuss what went wrong in front of real users.
• Experience running evals: built or used evaluation setups for an agent, including how you determined readiness before launch and what changed after real users used it.
• Proven shipping in code: prototype with AI coding tools (not only in Figma), open pull requests, and read a backend contract even if you are not an engineer by title.
• Working understanding of LLM behavior in production: latency, streaming, tool calling, confidence, and failure modes, with design that addresses these realities rather than only the happy path.
• Experience collaborating directly with engineering in their channels and on their timelines as a core part of shipping.

Technologies

• Figma
• AI coding tools

Preferred

• Domain depth designing for sellers, marketers, RevOps, or CS within a CRM, sales-engagement, data, or revenue-intelligence product.
• Experience navigating enterprise complexity, data-dense interfaces, bulk operations, or long-running jobs while maintaining end-user clarity.
• Experience designing for products where usage directly costs the customer money.
• Comfort blending UX research with agentic design, using research to predict and evals to confirm.

How We Evaluate

• Assessed across four axes: context engineering and agentic systems (including eval experience); blend of UX research and agentic design; aesthetic quality and experience craft; and engineering fundamentals.
• Interviews include:
  • Walking through a real agent-surface decision, including an argument you lost.
  • An eval you ran and what it changed.
  • A live conversation about a go-to-market workflow.
  • A working session on an open problem.
  • A look at your own tooling.
• No spec work, no unpaid take-home, and no design challenge we would not actually ship.

Location: Waltham, MA (onsite)

Salary: USD 171,430 - 269,390 per year

Minimum experience: 2 years