Full-Time
Lead Product Designer
AirOps
51-200 employees
AI-powered SEO and content automation platform
No salary listed
San Francisco, CA, USA + 1 more
More locations: New York, NY, USA
Hybrid
 UI/UX & Design (1) |
|---|
- 6+ years of product design experience with at least 3 years working on B2B SaaS platforms
- Portfolio demonstrating your ability to simplify complex workflows and data-heavy interfaces
- Experience designing for technical audiences while maintaining accessibility for non-technical users
- Strong understanding of content management systems, SEO tools, or marketing technology platforms
- Fluency with modern prototyping tools (e.g. Cursor, Bolt, Claude Code) and comfort with design/collaboration environments like Figma and Git
- Track record of shipping products that directly impact business metrics and user adoption
- Ability to work autonomously while actively seeking feedback and collaboration
- Excellent written and verbal communication skills with the ability to articulate design decisions to stakeholders
- Comfort with ambiguity and the ability to define structure where none exists
- Genuine interest in how AI is changing search, content discovery, and digital marketing
- 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 and maintain our design system while establishing patterns that scale across different user personas and use cases
- Conduct user research with content teams, SEO professionals, and marketing leaders to understand their workflows and pain points
- Prototype rapidly to test assumptions and validate design decisions with real users before engineering investment
- Collaborate with customer success to understand how teams actually use our platform and where they get stuck
- Help define product strategy by identifying opportunities where better design can directly impact customer outcomes
- Mentor junior designers and contribute to building a design culture focused on measurable business impact
AirOps uses artificial intelligence to help businesses grow their organic web traffic and streamline operations. The core offerings include the SEO Playbook, a step-by-step guide for increasing website traffic, and a suite of AI-powered tools such as chatbots, text classifiers, and content generators. These tools rely on large AI models (including GPT-4-turbo, DALL·E 3, and Claude 2) to design and scale integrated workflows. The chatbots can search the web, browse, write social content, teach concepts, categorize text, summarize documents, and extract keywords, and they can be trained on a company’s own data for customization. AirOps differentiates itself by combining an actionable SEO playbook with customizable, multi-model AI tools that automate tasks and data analysis in one platform. Its goal is to help clients increase organic traffic while reducing manual work through automation and smarter content workflows.
Company Size
51-200
Company Stage
Series B
Total Funding
$62.5M
Headquarters
San Francisco, California
Founded
2020
Simplify's Take
What believers are saying
- Offsite expands AirOps into third-party publishers, where it says 85% of discovery happens.[4]
- The Linqia partnership adds influencer video content to improve AI search visibility.
- Claude integration embeds AirOps data into marketers' daily workflows, increasing stickiness.
What critics are saying
- Google and OpenAI can absorb core workflows into native products and compress pricing power.
- Offsite depends on model vendors' citation behavior, which can change suddenly and hurt economics.
- Competitors like Profound can win measurement-heavy accounts if AirOps stays content-first.
What makes AirOps unique
- AirOps is an end-to-end content engineering platform for AI search and AEO.[3][4]
- It combines 40+ AI models with retrieval and data-source integrations.[1][7]
- The product unifies analysis, content creation, refreshes, and publishing in one system.[4][5]
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Your Connections
People at AirOps who can refer or advise you
Benefits
Equity in a fast-growing startup
Competitive benefits package tailored to your location
Unlimited Paid Time Off
Generous parental leave
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -5%2 year growth
↓ -10%Omnibound AI vs. AirOps: which platform is built for B2B AI search? Ray Hudson 31 March 2026 10 mins reading time Table of contents. Turn your content into ai-search winners. Get cited across ChatGPT, Claude & Perplexity - not just ranked on Google. * Increase AI citations * Improve answer visibility * Track brand mentions in LLMs
Omnibound AI vs. AirOps: which platform is built for B2B AI search? Ray Hudson 31 March 2026
AirOps, a content engineering platform for AI search, has launched enterprise integrations allowing content teams to manage and publish directly from AirOps to their existing tools. The platform now connects with CMS platforms including Webflow, WordPress, Contentful, Sanity and Strapi, plus project management tools like Asana, ClickUp and Monday.com. The integrations address the challenge of keeping content fresh for AI search engines, which recent research shows favour content updated within 3 to 12 months. Teams can import content collections from their CMS, process them through AI-powered workflows, and publish results with one click. OysterHR reported saving 37 developer hours in two months using the Webflow integration, whilst Borderless AI increased output from 5 to 30 blogs monthly. AirOps has raised $55.5 million from investors including Greylock and Unusual VC.
AirOps integrates natively with Claude, bringing AI search visibility data directly into marketing workflows. AirOps, the leading platform in content engineering for AI-driven search, has recently declared that they have launched a native integration with Claude, Anthropic's AI assistant, which is used by millions of professionals for writing, researching, and making decisions. Using this integration, marketing teams can leverage not just the entire range of data accessible on the AirOps platform, but also AI search visibility, competitive citation, and content metrics. As AI assistants become a central workspace for modern marketing teams, the gap between ideation and data-driven execution has grown. By embedding accurate, foundational performance data into the same environment where planning and content creation already happen, AirOps helps teams make faster, more informed decisions without manual reporting or fragmented workflows. "Marketing teams are increasingly getting leverage from Claude, accelerated by releases like Claude Cowork, but are limited by access to the right data and views," said Alex Halliday, CEO of AirOps. "AirOps is fixing this. If you're serious about driving organic growth with content, you should have the full picture of SEO and AI visibility available directly in your assistant, not in a separate tab." Turning AI assistants into actionable growth engines. Through the new Claude connector, users can analyze and visualize AI search performance using natural-language queries, enabling deeper insight without specialized technical expertise. Teams can generate structured reports that combine data visualizations with narrative context, uncover competitive visibility gaps, and build execution-ready content strategies - all without leaving Claude. This integration also facilitates quick synchronization back into the AirOps platform, so that any insights, plans, and outputs developed within Claude can be operationalized quickly. This tighter coupling between analysis and execution can enable better speed and confidence for any marketing teams interested in going from insights to execution. Powered by Model Context Protocol (MCP) and Claude Apps, the integration ensures secure, permission-based access to live AirOps data while maintaining enterprise-grade data governance. By combining real-time visibility into AI search performance with Claude's conversational interface, AirOps positions AI assistants as true command centers for content-led organic growth. MarTech360 Bureau 1193 posts 0 comments
AirOps, a content engineering platform for AI search, has launched a native integration with Anthropic's Claude AI assistant. The integration enables marketing teams to access AirOps data, including AI search visibility, competitive citation gaps and content performance metrics, directly within Claude. Through the Claude connector, users can explore AI search performance using natural language, generate reports with charts, identify competitive gaps and create content strategies that sync back to AirOps. The integration uses Model Context Protocol and Claude Apps for secure, permissioned access to live data. The integration is now available through the Claude Marketplace for all AirOps customers. AirOps has raised $55.5 million from investors including Greylock and Unusual VC. Clients include Webflow, Klaviyo, Wiz and Kayak.