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Black Forest Labs

Solutions Engineer

Black Forest Labs is hiring a Solutions Engineer. It pays $180k-$285k a year and Level rates it ; you can apply on Black Forest Labs.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Stable Diffusion and fine tuning.
  • Level lists 12 other open roles at Black Forest Labs.
  • The role was posted in the last few days.

AI in this role

stable-diffusion
fine-tuning

About Black Forest Labs

We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images, video, audio, and action to see, generate, and understand the world.

Our founding team pioneered latent diffusion and Stable Diffusion, the breakthroughs that made generative AI accessible to millions. With FLUX, we're pushing into generative media at scale, machines that act in the physical world, and emerging applications in computer use.

Our FLUX models top public benchmarks and run in production in some of the world's biggest platforms. We're a small, fast growing research lab competing with the largest companies in the world. From our labs in Freiburg to San Francisco, we're building what comes next.

 

Why This Role

We at Black Forest labs are seeking a Solutions Engineer to facilitate the adoption of our models among a growing customer base and collaborate with them to address complex technical challenges.

The Solutions Engineer will be an integral part of our GTM team, which is dedicated to driving the successful deployment of BFL models. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed customer expectations.

In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO, Sales team, research scientists, and engineers) and also function as a key resource in externalising our research in production settings.

What You’ll Work On

  • Collaborate strategically with our Sales team to enhance the technical aspects of the sales process.

  • You’ll be responsible for onboarding customers on our suite of models, providing guidance on prompting, evaluation, and finetuning, and ensuring the best production integration with back-end and front-end interfaces.

  • Craft compelling technical demonstrations that clearly communicate our product's value proposition.

  • You’ll individually guide and and support customers in deploying our models into production use cases with a considerable business impact.

  • You’ll work in collaboration with our BD team, researchers, other engineers on our most complex customer projects and contributing to our open-source codebases for tasks such as inference and finetuning.

  • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain BFL technologies to various stakeholders.

  • Create technical enablement resources that amplify our sales team's effectiveness and technical fluency.

  • Build self-service tools and documentation that empower customers to implement solutions independently.

  • Your collaboration with our Applied research to improve continuously our product and model capabilities based on customers’ feedback

What We’re Looking For

  • Are passionate about AI, technology and BFL models

  • Enjoy working directly with customers, iterating on solutions and providing tailored support

  • Have a strong technical background in order to help customers architect integration between our solutions and their existing solutions

  • You have strong technical coding skills in Python, inclusive of a deep understanding of software development, software architecture, and common integration patterns

  • Excellent communication skills with the ability to adapt messaging to different audiences and explain complex technical concepts in simple terms with technical and non-technical audiences

Ideally you have:

  • Contributed to open-source projects in particular in the space of diffusion models

  • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager

How We Work Together

We’re a distributed team with real offices that people actually use. This role is based in San Francisco, and you’ll join us in the office at least 2 days a week, or one full week every other week.

Everything we do is grounded in four values:

  • Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.

  • Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.

  • Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.

  • Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

If this sounds like work you’d enjoy, we’d love to hear from you.

Base Annual Salary:

US $180,000 - $285,000 USD + Equity

Note: We may use AI-assisted tools to help organize applications. All hiring decisions are always made by our team.

How we rate this

Solutions Engineer at Black Forest Labs rates 71 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningStable Diffusion

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Walk me through how you've used Stable Diffusion in your day-to-day work.
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Fine-tuning and Stable Diffusion. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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