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Currently tracking 8 active AI roles, up 17% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $180k–$300k (avg $240k).

Hiring
8 / 8
Momentum (4w)
↑+1 +17%
7 opens last 4w · 6 prior 4w
Salary range · avg $240k
$180k–$300k
USD · disclosed roles only
Tracked since
Sep '24
last role 5w ago
Hiring velocityscroll left for older weeks
2 new roles
Sep 16
1 new role
Apr 21
1 new role
Sep 15
1 new role
22
3 new roles
Dec 1
1 new role
Jan 26
1 new role
Mar 2
3 new roles
Apr 20
2 new roles
May 11
1 new role
25
1 new role
Jun 22
Black Forest Labs

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.

Auto-generated from active job postings · last refreshed 2026-05-24

Frequently asked questions

  • What AI roles is Black Forest Labs hiring for?

    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.

  • What stage of AI development does Black Forest Labs focus on?

    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.

  • Where is Black Forest Labs hiring AI talent?

    Black Forest Labs is hiring AI talent in: United States (1 role).

  • What technologies does Black Forest Labs's AI team work with?

    Job postings at Black Forest Labs most frequently reference: model serving, fine tuning, vision, multimodal, frontier research.

  • How many AI roles has Black Forest Labs posted recently?

    In the past 30 days, Black Forest Labs has posted 1 new AI-related role.

Jobs (6)

7 AI · 14 total active
FilteredFunctionProduct×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 2Pretrain · 2Post-train · 2Serve · 3Agent · 1
Function
AllEngineering · 7Product · 6Research · 3
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI 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.
—ProductFreiburg, San Francisco6w ago5
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.
—ProductFreiburg, San FranciscoMar 55
Strategic Finance/FP&A
This role is for a Strategic Finance/FP&A professional at an AI company focused on generative models (Stable Diffusion, Latent Diffusion). The individual will build financial planning processes, models, and decision frameworks to support resource allocation in a rapidly evolving market. Responsibilities include owning the planning cycle, building financial models for various revenue streams and compute costs, delivering business reviews, leading scenario planning for strategic initiatives, and collaborating with engineering on GPU infrastructure. The role requires experience in high-growth environments, advanced modeling skills, fluency in SaaS metrics, and curiosity about AI-powered finance workflows.
—ProductFreiburg, San FranciscoJan 295
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.
—ProductSan Francisco, CADec '255
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.
—ProductFreiburg, San FranciscoDec '255
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.
—ProductSan Francisco, CA5w ago0