Product Operation Manager

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io.

As the Product Operations Manager, you will be the operational backbone of our generative AI strategy, sitting at the intersection of Product, Engineering, Content, and Marketing. You will drive the scaling of evolving AI capabilities into stable, high-quality production environments while ensuring our models remain reliable, cost-effective, and seamlessly integrated into the user experience.

Responsibilities

• Model Lifecycle & Governance: Manage the "AI Models Mapping" registry (experimental, production, and deprecated). Define the approval process for introducing new models and ensure the reproducibility of all model capabilities and configurations.
• Production Reliability & Performance: Maintain continuous visibility into the performance, reliability, and cost-efficiency of all production models. Conduct periodic sampling of generations to validate output quality and edge-case behavior.
• Feedback Loops & Insights: Analyze customer insights and user data to identify patterns. Slice and dice bug and feature request data to enable prioritization and help the product team understand where to iterate.
• Strategic Vendor & Stakeholder Management: Collaborate with external engineering teams (Google, OpenAI, fal.ai) to ensure model performance. Partner internally with FinOps, Growth, and BizDev to align on model routing, consumption, and spend.
• Operational Excellence: Build reporting dashboards, automated agents, and quarterly reports to establish facts-based product success. Lead weekly triage meetings with engineering teams to ensure clarity around priorities and execution.
• Knowledge Management: Act as the single source of truth for all AI model documentation, maintaining snapshots of live and discontinued models and their specific configurations.
• GenAI native applications management - Build/Submission processes for internal and external testing, approval and release.
  
  

• 2-4 years of experience in product operations, technical program management, or a product ownership role, with a proven record of driving operational excellence.
• Strong technical orientation and the ability to navigate complex product logic, model integrations, and API configurations.
• Highly analytical, with the ability to independently dive into data, build dashboards, and translate performance metrics into actionable product insights.
• Excellent communication skills, with the ability to align cross-functional stakeholders - from R&D and FinOps to external vendors.
• Ability to thrive in a fast-paced, dynamic industry and make informed decisions with limited data while prioritizing when to collect more information.
• Highly organized, with strong planning and prioritization skills to manage the transition of models from "experimental" to "production" status.
• AI Curiosity: You don’t need to be an AI researcher, but you are passionate about using AI tools to work smarter and deliver better results.
  
  

• Experience working on generative AI products (specifically video, image, and audio models).
• Strong knowledge of basic scripting, APIs, and SQL.
• Familiarity with data and monitoring tools such as Tableau, MixPanel, Coralogix, or Datadog.
• Experience in the SaaS industry or working with GCP/cloud-based API products.
• Familiarity with native applications release procedures (GP Console, App Store Connect, APKs, TestFlight, etc.)