Black Forest Labs
Multimodal · Flux image-generation foundation models (Berlin)
Black Forest Labs currently has 9 active AI-related job listings. The company is hiring across multiple stages of AI development, with serving infrastructure roles making up 33% of the openings, followed by post-training, pre-training, and data roles, each at 22%. Engineering is the most frequent function, with 6 positions, while research accounts for 3. The majority of these roles are located in the United States. Frequent technical tags include fine_tuning, model_serving, vision, and multimodal.
Currently tracking 8 active AI roles, up 17% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $180k–$300k (avg $240k).
Multimodal · Flux image-generation foundation models (Berlin)
Black Forest Labs currently has 9 active AI-related roles in our index. The most common open titles are: Developer Experience Engineer, Forward Deployed Machine Learning Engineer, Member of Technical Staff - Image / Video Generation, Member of Technical Staff - Infrastructure Engineer, Member of Technical Staff - Large Scale Data Infrastructure. Most positions are in Engineering and Research.
Black Forest Labs's active AI hiring is concentrated in: serving infrastructure (22%), post-training (22%), pre-training (22%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Black Forest Labs is hiring AI talent in: United States (1 role).
Job postings at Black Forest Labs most frequently reference: model serving, fine tuning, vision, multimodal, frontier research.
In the past 30 days, Black Forest Labs has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Commercial Counsel Commercial Counsel for Black Forest Labs, a company specializing in generative AI models like Stable Diffusion. The role involves drafting and negotiating commercial agreements (API licensing, SaaS, model access), supporting US and EU go-to-market deals, and advising on AI-specific legal matters such as IP, training data rights, and regulatory compliance. Requires 7+ years of legal experience in technology transactions, with a preference for AI/ML or foundational model licensing experience. | — | 5 |
| Account Executive Account Executive role at an AI company (known for Stable Diffusion, FLUX models) focused on selling generative AI products (API access, weight licensing) to SMBs, startups, and enterprises. The role involves full-cycle sales, account management, and collaboration with technical teams. | — | 5 |
| Senior Account Executive This role is for a Senior Account Executive at Black Forest Labs, a company known for generative AI models like Stable Diffusion. The primary focus is on driving adoption of their AI technologies across enterprise and strategic partners, managing complex sales cycles involving APIs, on-prem deployments, and custom licensing. The role requires translating technical interest into long-term partnerships and working closely with internal teams to guide customers from evaluation to production. | — | 5 |
| Senior Partnerships Manager This role focuses on architecting the commercial layer of generative AI technologies, specifically in image and video creation. The Senior Partnerships Manager will drive business growth through strategic partnerships, develop innovative pricing models for rapidly evolving products, and identify new distribution channels. The role requires deep technical fluency to translate complex AI capabilities into commercial value propositions and collaborate with technical teams, finance, and legal on complex deals. It is a product-focused role aimed at commercializing advanced AI technologies. | — | 5 |
| People Partner This is a People Partner role at an AI company (Black Forest Labs, known for Latent Diffusion, Stable Diffusion, FLUX). The role focuses on HR functions like performance management, leadership coaching, workforce planning, employee relations, and core People Operations processes (onboarding, offboarding, compliance, HRIS). The ideal candidate has 6+ years of HR experience, preferably in tech (deep tech preferred), with experience in or alongside European-headquartered companies. They need a strong understanding of US employment law and the ability to operate strategically and hands-on. The company values research excellence and open science. | — | 0 |