Staff Design Engineer

Invoca

Chicago (IL)

On-site

USD 140,000 - 210,000

Full time

3 days ago
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Job summary

Invoca is seeking a Staff Design Engineer to shape the next generation of AI-native experiences across Platform, Intelligence & Analytics, and a Conversational Agentic Experiences team. You’ll prototype, design, and build—combining design, code, AI, and emerging tech to deliver production-ready solutions.

You’ll operate across three pillars to create intuitive, trustworthy experiences, contribute to design systems, and partner with Product and Engineering to maximize customer value and adoption.

Responsibilities

  • Define AI experience paradigms across product areas, including agents, conversational intelligence experiences, copilots, and emerging interaction models.
  • Define and execute horizontal user journeys spanning product pillars to influence onboarding, evaluation experiences, billing, and other critical journeys.
  • Partner with Product and Engineering to influence how customers discover, adopt, understand, and get value from Invoca.
  • Contribute to evolving design systems and libraries, extending patterns as needed.

Job description

Who We Are

Invoca is the revenue infrastructure platform for consumer brands. We help our customers turn digital and human interactions into measurable, profitable growth.

Who We Are

Invoca is the revenue infrastructure platform for consumer brands. We help our customers turn digital and human interactions into measurable, profitable growth.

We’re building at the intersection of AI, data, and customer experience, helping companies across healthcare, financial services, travel, hospitality, home services, automotive, retail & e-commerce understand customer conversations and turn those insights into action.

Our mission is to drive revenue for our customers through experiences that are intelligent, authentic, and empathetic.

About The Team

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 collaborative, curious, and innovative 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.

About The Role

You will be joining a strong, high performing AI native design team organized into three pillars: Platform, Intelligence & Analytics, and Conversational Agentic Experiences (Voice & SMS).

As a Staff Design Engineer, you’ll work horizontally across all three pillars to define and build the next generation of Invoca experiences. You’ll concept, prototype, and build—from early ideas to production experiences—using design, code, AI, and emerging technologies as creative tools.

This Role Has Two Areas Of Ownership
  • Define AI experience paradigms Shape how customers and partners interact across our product areas, including agents, conversational intelligence experiences, copilots, and emerging interaction models. Explore new technologies and protocols, including A2UI, and translate them into experiences that are useful, intuitive, and trustworthy.
  • Define and execute horizontal user journeys Own high-impact experiences that span our product pillars and directly influence adoption, new logo activation, and engagement—including onboarding, evaluation experiences, billing, and other critical customer journeys.

This is as much a strategy role as it is an execution role. You’ll partner as a peer with Product and Engineering to directly influence how customers discover, adopt, understand, and get value from Invoca. You’ll also partner closely with your peers within the design team and the Head of Product Design to create abstractions and patterns that other designers and engineers can build upon.

You’ll bring a high bar for craft while contributing to our evolving design systems and libraries. You’ll know when to leverage existing patterns, when to extend them, and when

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