Senior Product Manager, AI

Reposted 7 Days Ago
2 Locations
In-Office
Senior level
Artificial Intelligence • Information Technology • Software
The Role
Lead the vision and development of AI products at AirOps, driving execution with engineers and designers while utilizing customer insights and technical expertise.
Summary Generated by Built In
About AirOps

AirOps helps brands get found and stay found in the AI era. As the first end-to-end content engineering platform, we give marketing teams the systems to win visibility across traditional and AI search with one durable advantage: quality.

Thousands of marketers use AirOps to see how their brand shows up across the new discovery landscape, prioritize the highest-impact opportunities, and create accurate, on-brand content that earns citations from AI platforms and trust from humans. We are building the platform and profession that will equip a million marketers to lead the next chapter of marketing, where creativity and intelligent systems work together and quality becomes the strategy that lasts.

AirOps is backed by Greylock, Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, Alt Capital, and more than a dozen top marketing leaders, with hubs in San Francisco, New York, and Montevideo.

About the Role

As a Senior Product Manager, you will lead the strategy, roadmap, and execution for the Agents products that translates AirOps insights into measurable outcomes for content teams. Your domain is the agent layer that researches, plans, drafts, optimizes, and refreshes content to drive visibility in AI-driven search experiences. You will partner with engineering, design, data science, and customer teams to ship high-trust, high-ROI functionality that moves customers from insight to publish.

Key Responsibilities
  • Set the product vision and roadmap for AirOps Agents, from opportunity identification to brief generation, on-page and off-site optimization, and refresh at scale.

  • Build agent orchestration that uses tools, actions, and retrieval to research topics, analyze gaps, draft content, optimize for AI search, and capture feedback into continuous improvement loops.

  • Define and implement evaluation frameworks, including offline evals, red teaming, and human-in-the-loop review, to improve factual accuracy, tone, and compliance.

  • Partner with customers, AEO/SEO leaders, and content strategists to prioritize use cases that move the needle on visibility across ChatGPT, AI Overviews, Copilot, Perplexity, and similar surfaces.

  • Prototype rapidly, ship iteratively, and retire features that do not meet quality or impact bars.

Qualifications
  • 5+ years in product management or adjacent product-building roles, including 2+ years working with AI, automation, or data-intensive products.

  • Strong product instincts with a track record of shipping delightful user experiences that deliver measurable business outcomes.

  • Fluency with core LLM concepts such as prompting, function calling, retrieval, embeddings, fine-tuning, and model evaluation.

  • Experience designing agent workflows that combine LLMs with tools, structured data, and human review.

  • Fluency with modern prototyping tools (e.g. Cursor, Bolt, Claude Code) and comfort with design/collaboration environments like Figma and Git.

  • Plus: Domain familiarity with SEO and content operations, including briefs, outlines, on-page optimization, and content refresh strategies.

Our Guiding Principles
  1. Extreme Ownership

  2. Quality

  3. Curiosity and Play

  4. Make Our Customers Heroes

  5. Respectful Candor

Benefits
  • Equity in a fast-growing startup

  • Competitive benefits package tailored to your location

  • Flexible time off policy

  • Parental Leave

  • A fun-loving and (just a bit) nerdy team that loves to move fast!

Top Skills

AI
Bolt
Claude Code
Cursor
Figma
Git
Llm Concepts
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The Company
HQ: San Francisco, CA
57 Employees
Year Founded: 2021

What We Do

Build your AI growth engine.

AirOps lets you easily build and scale AI workflows to crush your growth targets. Build with 40+ AI models, retrieval, and data sources or launch one of our proven playbooks.

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