Product Designer

Invoca is the revenue execution and platform leader that helps marketing, commerce, and contact center teams turn every conversation into revenue. Through its AI agents, Invoca engages, qualifies, and converts customers across SMS and voice, orchestrating seamless buyer journeys and measurable, profitable growth. With over 300 employees, 2,000+ customers, and $100M in revenue, the company continues to lead the category it created.

Invoca's AI vision centers on using trustworthy, first-party data to deliver intelligent, authentic, and empathetic AI - connecting digital and human experiences to build lasting customer relationships. Invoca has raised $184M from leading investors, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures.

At Invoca, we are powering the era of the agentic enterprise across revenue-driven conversational intelligence. To usher in this new era, we are looking for AI-native thinkers and executors across every function.

We look for low-ego individuals who thrive in dynamic, fast-moving environments and bring an experimental mindset to their work-rapidly testing ideas, learning quickly, and constantly looking for simpler, more delightful experiences for every user.

We are completely modernising the Invoca platform for product led growth. In order to do that, we are fundamentally rethinking how our platform feels and performs across all of our products with a strong focus on stewarding a new modern design language - Rapport.

Our Product Design team touches every surface of the Invoca platform. Rapport is the shared foundation that powers every Invoca product surface across Agent Studio, AI Signals, Signal Discovery, Agent Quality Management, Insights and Analytics and the growing portfolio of agentic experiences. Rapport is not a style guide or a Figma library. It is the connective tissue between design intent and product reality at scale: a living system of tokens, components, patterns, documentation, and tooling that designers and engineers across Invoca depend on every day to build with speed, quality, and consistency.

In the AI-native era, Rapport must be machine-readable as well as human-readable: tokens need semantic structure that AI tools can reason about, documentation needs to serve both the designer using Figma and the AI coding tool generating product UI across Claude/ Cursor etc. This is the environment you're stepping into, and it is exactly the right moment to shape how Invoca builds coherent, intelligent, and high-quality experiences across the platform.

You will own Rapport's design foundations: tokens, visual language, patterns, components, and the principles that connect them. You'll shape how color, typography, spacing, iconography, motion, interaction, and emerging AI experience patterns come together to make Invoca feel like one cohesive product-not a collection of disconnected surfaces.

Working closely with engineering, you will make system-level decisions that cascade across the product. That requires exceptional design craft, strong systems thinking, technical fluency, and the judgment to know when to create a constraint, when to create flexibility, and when the system itself needs to evolve.

Responsibilities:

• Define and evolve Invoca's visual language. Establish the system-level decisions around color, typography, spacing, iconography, motion, and interaction that make our experiences feel intentional, cohesive, and distinctly Invoca.
• Own the design architecture of Rapport. Evolve tokens, foundations, components, patterns, and their relationships so the system can scale across Invoca's product ecosystem.
• Make consequential system decisions. Define naming conventions, semantic relationships, abstraction levels, and the balance between flexibility and constraint.
• Establish design principles and tenets for design system usage that give designers and cross-functional teams a clear framework for making high-quality decisions without requiring alignment on every detail.
• Raise the visual quality bar across the platform. Act as a final eye for system-level visual and interaction quality and helping teams understand not just what to use, but why.
• Evolve Rapport for AI-native experiences. Define patterns and foundations that support intelligent, adaptive, generative, and agentic product experiences rather than simply extending traditional component libraries.
• Make the system machine-readable.…