Product Manager Agents About Luma Lumas mission is to build unified general intelligence that can generate understand and operate in the physical world We believe that multimodality is critical for intelligence To go beyond language models and build more aware capable and useful systems the next step function change will come from vision So we are working on training and scaling up multimodal foundation models for systems that can see and understand show and explain and eventually interact with our world to effect change Where You Come In Luma Agents is one of our three core product surfaces alongside foundation models and Canvas and the primary way enterprise customers will interact with our capabilities in production Agents are how Lumas multimodal intelligence actually does work executing multistep creative workflows operating within customer pipelines making decisions that touch real brand assets real campaigns and real production deadlines Building agents that enterprise customers trust to operate autonomously in highstakes creative and commercial environments is a fundamentally different product challenge than building a model or a canvas It requires designing for safety governance and auditability as core product surfaces not afterthoughts It requires building evaluation frameworks that measure whether agents are actually doing what customers need not just whether the underlying model is capable And it requires defining the primitives protocols and developer experience that let both our internal teams and external customers build agents that scale from experimentation to production This is a 0to1 role You will own the Luma Agents product endtoend the platform the trust layer the developer experience and the agent capabilities that enterprise customers in marketing advertising and entertainment will deploy into their workflows Youll work at the intersection of frontier research product engineering and real customer deployments to define what Luma Agents becomes Were looking for a principallevel product leader with deep experience building agentic AI products and the technical fluency to work directly with researchers and engineers on agent architecture evaluation systems and safety design What Youll Do amp Own the endtoend product vision strategy and roadmap for Luma Agents from agent infrastructure and orchestration through to the capabilities enterprise customers deploy in production amp Define and build the trust and governance layer as a core product surface audit trails safety controls permissioning and the evaluation frameworks that give enterprise customers confidence to deploy agents autonomously amp Design the agent primitives SDKs and developer experience that enable both internal teams and external customers to build test and deploy agents on top of Lumas multimodal models amp Work directly with research teams to translate frontier model capabilities multimodal understanding tool use longhorizon planning into reliable shippable agent behaviors amp Build evaluation systems that measure agent performance in realworld enterprise workflows not just benchmark scores defining what quotgoodquot looks like for agents operating in marketing advertising and entertainment pipelines amp Drive crossfunctional execution across research product engineering forwarddeployed teams and gotomarket within Lumas podbased structure amp Partner with the Enterprise PM and Forward Deployed PM to ensure the agent platform serves the needs of real customers and scales from bespoke deployments to broadly available products amp Embed safetybydesign principles into all agent products ensuring agents operate within defined boundaries fail gracefully and maintain the trust that enterprise customers require Who You Are amp Principal or Stafflevel product management experience L6 seniority or above with a track record of building agentic AI products not just traditional SaaS or chatbot interfaces amp Deep technical fluency in agent architectures orchestration patterns tool use evaluation methodologies and safety design youre the PM that researchers and engineers want in the room amp Youve built products where trust governance and auditability were core to the product surface not features bolted on later you understand that in enterprise agent deployment the safety layer is the product amp Youve shipped 0to1 products in highambiguity environments and can define product direction when there is no existing playbook amp You can design developer experiences APIs and platform primitives you think about how agents get built and deployed not just what they do amp You operate with extremely high agency and a strong selfstarter mentality in fastmoving unstructured environments amp You have a general manager mindset you think about commercial viability and revenue outcomes alongside technical excellence amp You can partner with and influence frontier research teams translating emergent capabilities into product bets without waiting for capabilities to be fully mature What Sets You Apart amp Experience building agent platforms agent infrastructure or agent evaluation systems at a frontier AI lab or enterprise AI company amp Familiarity with protocol and ecosystem design MCP agent SDKs tooluse frameworks and the developer experience challenges specific to agentic products amp Background in multimodal AI you understand the unique opportunities and challenges of agents that can see understand and generate across modalities amp Domain exposure in marketing advertising entertainment or related verticals where agents operate in highstakes creative and commercial workflows amp Experience at companies like Anthropic OpenAI Harvey Sierra Decagon or Glean where agentic products are the core business amp Youve designed evaluation frameworks for agent systems in production you know that benchmarks and realworld performance are different problems
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