Black Forest Labs Logo

Black Forest Labs

Privacy & Product Counsel

Posted Yesterday
Be an Early Applicant
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
150K-250K Annually
Senior level
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
150K-250K Annually
Senior level
Provide privacy and product counsel for AI models, APIs, enterprise offerings, marketing, and international data operations. Lead GDPR compliance, DPIAs, transfer mechanisms, US privacy obligations, regulatory engagement, data subject requests, incident response, privacy documentation, customer commitments, and vendor diligence. Build scalable privacy processes, templates, training, and playbooks while advising research, product, engineering, marketing, and commercial teams.
The summary above was generated by AI
This role can be office-based in Freiburg, Germany/ San Francisco, USA or remote-first, with a requirement to be in the office one full week per month.
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

Every FLUX release, API feature and enterprise offering requires legal oversight. Black Forest Labs’ (BFL) frontier technologies raise questions where there is no established precedent – especially as we push further into video, perception and physical AI.

We’re hiring a Privacy & Product Counsel to find solutions and help drive our product teams forward. You’ll sit in our Legal, Policy & Assurance (LPA) team and be embedded with research, product and engineering, shaping how BFL builds and ships.

This is a hands-on role for someone who wants to build a privacy function at the frontier of AI and robotics.

What You’ll Work On
  • Product counselling. Be the go-to lawyer for product teams on new models, API features and innovative products, from first spec to launch, giving clear, risk-calibrated advice that keeps us shipping.

  • Marketing. Partner with our Growth, Marketing and DevRel teams to review launch announcements, model cards and campaign copy so that our claims about FLUX are accurate. Advise on privacy matters relating to product marketing, analytics, commercial and creator partnerships, and advertising claims.

  • Privacy by design. Own BFL’s GDPR programme across the model lifecycle: training data, fine-tuning, inference, logging and retention. Run point on DPIAs and privacy documentation as required.

  • Customer commitments. Partner with GTM on DPAs, zero-data-retention and no-training terms, security questionnaires and enterprise negotiations – and work with the team to ensure that what we promise matches what we do.

  • International transfers and vendors. Manage EU–US transfer mechanisms (SCCs, the EU–US Data Privacy Framework and TIAs), and run privacy diligence on sub-processors and AI tooling.

  • US privacy. Track and implement obligations under US state privacy laws (CCPA/CPRA and peers) and emerging AI-specific state legislation.

  • Regulatory interface. Prepare BFL for engagement with data protection authorities, and handle data subject requests, complaints and incidents, including breach assessment and notification.

  • Policy and documentation. Draft and maintain privacy notices, internal policies, records of processing and the privacy elements of compliance documentation.

  • Scale the function. Build playbooks, templates and training so the rest of BFL can handle routine privacy questions without you.

What We’re Looking For
  • 5–8 years’ PQE as a qualified lawyer in an EU/EEA jurisdiction or the UK, with a substantial focus on data protection and product counselling

  • Experience at a technology company, in a top-tier law firm’s privacy or tech practice, or both – ideally including time in-house advising product teams directly

  • Deep, practical command of the GDPR (and the German BDSG), the ePrivacy framework and international transfer rules, plus a working knowledge of how other relevant EU regulations, such as the EU AI Act, interact with them

  • Familiarity with US privacy and AI law (CCPA/CPRA, BIPA, and state AI and deepfake statutes)

  • A track record of advising on AI, ML or data-intensive products: you understand training pipelines, inference and feature releases well enough to ask engineers the right questions

  • Comfort giving direct, pragmatic advice under uncertainty – you can turn a novel legal question into a clear recommendation and workable product guidance

  • Strong drafting skills across DPAs, privacy notices, DPIAs and commercial privacy terms

  • Excellent written and spoken English; you can explain complex issues to researchers, executives and regulators alike

  • An ownership mindset and low ego: you’re comfortable in a fast-moving, high-growth environment where you build processes, not just follow them

While not required, it’s an added plus if you also have:
  • Experience with generative AI, computer vision or media products – particularly involving biometric data, likeness rights or synthetic media

  • Direct experience engaging with data protection authorities or the EU AI Office

  • CIPP/E, CIPT or equivalent certification

  • German language skills

  • An interest in adjacent areas such as security and trust & safety


How We Work Together

We’re a distributed team with real offices that people actually use. You’ll be based in Europe or the US and work from your home location, with one week each month spent with us in Freiburg / San Francisco to stay connected with the team.

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.

Closing

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


Compensation

EU: €150,000 - €200,000 + equity
US $200,000 - $250,000 USD

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

Similar Jobs

Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
Senior level
Senior level
Big Data • Cloud • Software • Database
Lead pre-sales technical engagements by designing scalable MongoDB-based architectures, advising customers, conducting technical discovery, demos, proofs of value, presentations, sizing, and documentation. Partner with sales teams on account strategy, pipeline generation, and demand generation. Build customer relationships, drive successful adoption, mentor colleagues, and provide feedback to product teams. The role involves cloud and on-premises distributed systems, database modernization, AI architectures, and up to 25% travel.
Top Skills: Apache KafkaAWSCC#C++DevOpsDistributed SystemsGenerative AiGCPJavaKubernetesMicroservicesAzureMongoDBMongodb AtlasNode.jsPythonRagSQLVector Search
Yesterday
Remote or Hybrid
75K-95K Annually
Senior level
75K-95K Annually
Senior level
Information Technology • Productivity • Professional Services • Software
Build and architect scalable cloud and on-premises monitoring solutions across infrastructure, APM, and logs. Develop custom automation scripts, create testable configuration patterns, and advise clients on observability, SRE, and DevOps best practices. The role involves working across diverse client environments, managing multiple projects, exploring AI applications in observability, and accommodating US working hours and customer onsite engagements as needed.
Top Skills: AIApplication Performance MonitoringCloud ComputingDatadogDevOpsGoInfrastructure MonitoringLinuxLog ManagementObservabilityOn-Premises InfrastructurePowershellPythonServicenowShell ScriptingSreUnix
2 Days Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads development and production deployment of AI/ML, optimization, generative AI, NLP, intelligent agents, and RPA solutions for supply chain master data. Builds predictive models, autonomous data pipelines, and automation bots; manages model monitoring, retraining, and self-healing capabilities. Partners globally with supply chain, data, and IT stakeholders to deliver phased AI enablement, translate business constraints into scalable solutions, and drive adoption and measurable impact.
Top Skills: AgileAzure Ai FoundryCplexGenerative AiGurobiKinaxisLarge Language ModelsAzureNlpPandasPower AutomatePythonPyTorchRpaScikit-LearnSQLTensorFlowUipath

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account