Full-Time
Pricing & Value Engineering Lead
Posted on 11/7/2025
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
Remote
 Finance & Banking (1) |
|---|
- 4–6 years overall experience, with a stint in investment banking, trading, management consulting, strategic finance, product, or similar analytical role; and with at least one role in an early-stage startup
- Track record of pricing model design, monetization strategy, or value engineering for enterprise customers
- Strong analytical skills with advanced spreadsheet modeling; SQL skills preferred for product and customer usage analysis
- Proven ability to work across Product, Sales, Marketing, Finance, and Executive teams to drive decisions and execution
- Comfortable presenting to both internal leadership and customer executives (CFO, COO, CRO)
- Familiarity with usage-based and AI/LLM product pricing models
- Experience with CPQ, billing, and CRM systems a plus
- Exceptional written and verbal communication skills, with the ability to translate data into compelling business narratives
- Own pricing & packaging strategy — define tiers, overages, thresholds, and enterprise constructs that align price with value and drive adoption
- Work closely with Product to tie pricing and entitlements to usage telemetry, validate packaging approaches, and ensure monetization aligns with roadmap priorities
- Collaborate with Sales & Marketing to craft compelling value narratives, ROI models, and customer-facing materials that support acquisition, expansion, and renewal plays
- Build and standardize business value frameworks (ROI models, TEI-style analyses, payback calculators) for use in enterprise sales cycles
- Partner with Sales leadership on deal strategy, pricing approvals, and non-standard terms playbooks to protect margins while enabling strategic wins
- Analyze product usage and market data to identify monetization opportunities, run experiments, and measure pricing change impact
- Work with Marketing to integrate pricing and value stories into campaigns, launches, and content that resonates with target personas
- Advise on tooling & processes for quoting, billing, and reporting (Stripe/Chargebee, CPQ, CRM alignment)
- Enable Sales & CX with training, playbooks, and materials to confidently position pricing and value in enterprise conversations
- Continuously monitor market trends and competitor strategies to keep AirOps ahead in pricing innovation
- SQL skills preferred for product and customer usage analysis
- Familiarity with usage-based and AI/LLM product pricing models
- Experience with CPQ, billing, and CRM systems a plus
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
- Content updated within 3 months is 3x more likely cited in AI answers, driving recurring refresh revenue.
- CMS integrations reduced implementation friction; OysterHR saved 37 developer hours in two months.
- Enterprise multi-answer collection signals demand for deeper analytics and statistical confidence in visibility trends.
What critics are saying
- Google's April 2026 AI Overviews update reduced third-party citations 40%, obsoleting Offsite strategy.
- OpenAI SearchGPT Enterprise embeds workflow automation directly, eliminating need for AirOps playbooks.
- Surfer SEO's real-time optimization integrates seamlessly with CMS, undercutting AirOps' drag-and-drop complexity.
What makes AirOps unique
- Unified platform combining owned content optimization with 85% third-party citation discovery via Offsite.
- Native Claude integration embeds AI search visibility directly into marketing workflows without context switching.
- Page360 consolidates SEO, analytics, and AI signals to identify highest-leverage content refresh opportunities.
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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
↑ 1%1 year growth
↑ 0%2 year growth
↓ -8%Omnibound AI vs. AirOps: which platform is built for B2B AI search? Ray Hudson 31 March 2026
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
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.