Senior Solutions Architect
Quick Summary
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 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.
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.
- 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
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.
- 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
- 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
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 role during our interview process.
- Obsessed: We build beautifully crafted, scientifically rigorous products by deeply understanding problems from first principles; and never shipping anything we’re not proud of.
- Low Ego: Prioritizing the best idea over personal ownership, where titles hold no authority, credit is shared, and no task is beneath anyone.
- Bold: We ship bold ideas early, improve fast, and take ambitious bets, without sacrificing quality for speed.
- Kind: We treat each other with genuine care, speaking directly and kindly even when conversations are hard.
If this sounds like work you’d enjoy, we’d love to hear from you.
Base Annual Salary: $180,000 - $300,000 USD
We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.
Listing Details
- Posted
- April 14, 2026
- First seen
- March 26, 2026
- Last seen
- April 14, 2026
Posting Health
- Days active
- 18
- Repost count
- 0
- Trust Level
- 52%
- Scored at
- April 14, 2026
Signal breakdown
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