Company details

HEADCOUNT

25-99

ORG TYPE

Startup

SECTOR

Technology & Digital

WEBSITE

https://www.bfl.ai

About the company

Black Forest Labs is a frontier AI research lab focused on visual intelligence, known for the FLUX family of image and video generation models. The company positions the work as building the infrastructure that turns research checkpoints into reliable products and APIs used at scale. Black Forest Labs operates from hubs in Freiburg (Germany) and San Francisco (USA), and also notes a presence in London. In December 2025, Black Forest Labs announced a $300M Series B at a $3.25B post-money valuation.

Locations and presence

Black Forest Labs lists Freiburg and San Francisco as core hubs and references a presence in London. Job postings show hiring across both the US and Germany, with relocation framed as a common path for offers.

Palpable Score

48.0

/ 100

Black Forest Labs offers strong pay transparency for a startup lab and publishes unusually specific job scopes, but entry-level access is thin right now because the open roles skew heavily toward deep specialists and “Member of Technical Staff” profiles. Outcomes are hard to judge from public evidence because Black Forest Labs does not publish early-career progression data and there’s limited reliable third-party review coverage for this specific company.

Pillar 1: Early-career access

Score

5.0

/ 20

The company’s live Greenhouse board is dominated by senior-leaning roles such as “Member of Technical Staff” across training, inference optimization, data infrastructure, and image/video generation.
Black Forest Labs has an Operations opening like “Recruiting Coordinator,” but that role still asks for 3+ years experience rather than being pitched as a first job.
The company does not publicly list internships, apprenticeships, or 0–2 year “Junior/Associate” roles on the current careers board, which sharply limits graduate entry points.

Pillar 2: Hiring fairness and transparency

Score

12.0

/ 20

The company runs hiring through a consistent ATS (Greenhouse) with standard application fields and structured role pages rather than informal email-only intake.
Black Forest Labs job descriptions are unusually explicit about what the role owns, such as interview scheduling and pipeline metrics for “Recruiting Coordinator,” and full-funnel analytics and forecasting for “Revenue Operations Manager.”
The company frequently asks for “salary expectations” in the application flow and does not publish a hiring timeline or interview stages on the careers site, which reduces predictability for early-career applicants.

Pillar 3: Learning and support

Score

10.0

/ 20

The company lists a recurring “learning stipend” ($600 per year) as a universal benefit, which is a concrete signal of supported development.
Black Forest Labs frames roles as high-autonomy “zero-to-one” builds (for example GTM systems and data procurement), which can accelerate learning but can also be rough without a spelled-out ramp.
The company does not describe onboarding plans, mentorship structures, pairing, or review cycles in public role descriptions, so support quality for juniors is not verifiable.

Pillar 4: Pay fairness and stability

Score

14.3

/ 20

The company publishes salary bands for multiple roles (for example $180k–$300k USD for technical staff roles and $155k–$200k USD for Revenue Operations Manager), which is rare and helpful.
Black Forest Labs also references equity in at least some postings (for example the SF salary band for Data Procurement & Operations Lead plus equity), alongside relocation support and visa sponsorship language.
The company lists family-supportive benefits on the careers page (including parental leave details), but does not show ranges consistently for every geography and every role, so early-career pay confidence is still uneven outside the US-banded jobs.

Pillar 5: Early-career outcomes

Score

6.7

/ 20

The company is a young team of around 50, which means there is limited public track record of junior promotions, retention over 12–24 months, or internship-to-full-time conversion.
Black Forest Labs has a visible growth signal on LinkedIn through an expanding job slate across Engineering, GTM, and Operations, but that is not the same as proven early-career progression.
The company does not publish outcome metrics (promotion rates, retention, leveling, or early-career alumni paths), and reliable third-party employee review data for Black Forest Labs is sparse, which caps this pillar.

Useful links & resources

Careers | Black Forest Labs Open Positions (Greenhouse) | Black Forest Labs “Our $300M Series B” (context on growth and hiring) | Black Forest Labs