Senior Solutions Engineer

About Black Forest Labs We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role You'll be the bridge between our research frontier and customer reality. Not just explaining what our models do, but ensuring customers actually succeed with them—which means understanding their constraints, their use cases, and sometimes what they need even when they can't articulate it yet. What You’ll Work On Onboard customers to our suite of models, providing hands-on guidance on prompting strategies, inference optimization, evaluation frameworks, and finetuning approaches that ensure best-in-class production integrations Work alongside our Sales and BD teams on the most complex and high-stakes customer projects—the ones where deployment success has material business impact Act as BFL's central internal hub, seamlessly connecting go-to-market, engineering, and applied research teams so customer insights flow in both directions Create reusable technical enablement resources that amplify our sales team's effectiveness and technical fluency—documentation, demos, integration guides that scale beyond individual conversations Translate customer technical feedback into actionable product insights, then collaborates with engineering and research teams to actually implement required updates and new features What We’re Looking For You understand generative AI deeply enough to debug customer integrations, but you're equally comfortable explaining business value to non-technical stakeholders. You've been in rooms where the sale depends on whether you can architect a solution on the spot. You get energized by translating between worlds : research to production, technical to business, problem to solution. You likely have: Deep understanding of generative AI and hands-on experience serving generative deep learning models in production settings A track record of working directly with customers, iterating on solutions, and providing tailored support that actually moves the needle Proficiency in Python and intuitive understanding of API integrations - enough to implement basic functionality and help customers build prototypes and demos Experience explaining sophisticated technical concepts to both technical and business audiences without losing either group Excellent communication skills honed through collaborating with non-technical stakeholders, with the ability to adapt your message depending on who's in the room We'd be especially excited if you: Have prior experience finetuning diffusion models and working with customization tools like ComfyUI Bring a proven track record in solutions engineering, particularly on large and complex enterprise deals Can architect solutions in complex enterprise environments where standard approaches don't work Contribute to open-source projects in the diffusion model space and understand the community Have deployed models on cloud platforms using state-of-the-art serving infrastructure How We Work Together We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the ro