Product Designer

🏢 Airops · 📍 New York City or San Francisco (Onsite) · 💼 onsite · ⏰ FullTime
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Position Summary & Responsibilities

About AirOps

AirOps is the full-service platform for brand growth in the age of AI search. As consumers shift from traditional search engines to platforms like ChatGPT, Claude, and Gemini, the entire ruleset of growth is being rewritten. Buyers now rely on agents to discover, recommend, and purchase products and services for them. If your brand isn't part of the answer, you aren't in the running.

Our platform offers everything a brand needs to get found, recommended, and earn trust. We work with category leaders, including teams at Ramp, Chime, Airbnb, ServiceNow, and Rippling, to drive visibility and accelerate growth from AI search.

Backed by Greylock, Unusual Ventures, Wing VC, and Founder Collective, we're headquartered in San Francisco, New York, and Montevideo.

About the Role

We're looking for a Lead Product Designer who's excited about shaping the future of AI Search. In this role, you'll build products that help brands succeed as AI agents become the main way people discover them. You'll own large portions of our platform experience - from search visibility tools to last-mile editing experiences - that are fundamentally changing how marketing teams drive revenue in the AI era.

You thrive on moving fast while tackling complex information architecture challenges. You'll prototype rapidly using tools like Cursor and Figma Make, working directly with content and marketing teams to build intuitive and delightful experiences.

Key Responsibilities

  • Own end-to-end product design for core platform features, from initial concept through launch and iteration based on user feedback

  • Partner with product and engineering leads to translate AI search visibility challenges into elegant design solutions that content teams actually want to use

  • Design intuitive workflows for complex tasks like content gap analysis, AI agent optimization, and multi-channel content publishing

  • Create information hierarchies and data visualizations that make sense of large datasets without overwhelming users

  • Build a

🎯 Candidate Preparation Guide For Airops Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Tests generative AI application fluency, prompt-to-workflow engineering, and the ability to build intuitive tooling for non-technical operators.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Treating LLMs as magic black boxes without understanding latency, cost, and hallucination controls
  • 2. Building tools for engineers instead of the business operators who actually drive growth
  • 3. Slow velocity or reluctance to ship MVPs quickly
✨ Recommended Role Alignment Hook:

I bridge the gap between advanced LLM capabilities and practical business workflows, focusing entirely on how non-technical operators drive compounding ROI.

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