{"data":{"company":{"name":"Black Forest Labs","slug":"black-forest-labs","logo_url":"https://logos.yubhub.co/blackforestlabs.com.png","canonical_domain":"blackforestlabs.com","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[{"title":"Martin Scorsese Is Embracing A.I. - The New York Times","url":"https://news.google.com/rss/articles/CBMimgFBVV95cUxPOHZhNVdqXzUzbHloU2FxVlZzX2dRM1hidUJ3NlR5ZlMyam1ibUVpaHZVRkQzU2dXTHBWMTcwd0wwdU1LUTZodk9VZll5cFRsY1I4SU8wMnY1aFF5QUxVNUgwNGtCbTlzMW1ycHN6MEVKcFk5UFRCUW53aVRMTFdnekJ2dVZQZUFacjhWUjlYZVpac1IzR1VQc3JB?oc=5","publisher":"The New York Times","date":"2026-06-02","snippet":"Martin Scorsese Is Embracing A.I. 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You&#39;ll work with the API/platform engineering team, research, and DevRel to design and ship features that improve the developer experience. You&#39;ll partner with platform engineering on API design, work with product engineering on developer-facing surfaces, and own the portfolio of entry points developers and agents reach for.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own DevExp as a product surface - wherever the bottleneck is, that&#39;s where you ship next.</li>\n<li>Partner with platform engineering on API design before it ships, not after - bring the developer-and-agent perspective into the room when the contract is being decided.</li>\n<li>Work with product engineering on the developer-facing surfaces of the dashboard - playground, API keys, usage, request inspectors, webhook debugging - bringing the DevExp lens to features the rest of the team is already shipping.</li>\n<li>Make Black Forest Labs the best visual AI platform for agents to use. Own the MCP server, skills, agent onboarding paths, and the machine-readable surfaces of the platform.</li>\n<li>Design the reference patterns and SDK primitives developers reach for when building agentic workflows on FLUX.</li>\n<li>Stress-test every API and SDK change against &#39;would Claude / GPT / an autonomous agent get this right on the first try?&#39; - and treat agents as a first-class user across the whole product.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>4+ years building software, with meaningful time on developer-facing products - SDKs, APIs, dashboards, consoles, platforms developers actually use.</li>\n<li>Full-stack comfortable. TypeScript / React / Next on the front, Python (and ideally Go or Rust) on the back.</li>\n<li>Deep instincts on API design - you have opinions about error formats, pagination, async job shapes, breaking changes, and you&#39;ve lived with the consequences of bad ones.</li>\n<li>Fluent in the 2026 agent stack - MCP, tool use, the major agent runtimes - and you know what breaks when an LLL is the one reading your error message or browsing your API.</li>\n<li>You&#39;ve shipped developer-facing product that real external developers depend on. Not internal tooling.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Background at a developer platform where DevExp was a top-level metric (Stripe, Vercel, Cloudflare, Modal, Replicate, Resend, Linear, Anthropic platform, etc.).</li>\n<li>You&#39;ve built or meaningfully contributed to an MCP server real users / agents rely on.</li>\n<li>Experience with media-generation or other high-latency, async, job-shaped APIs - and the UX puzzles that come with them (polling, webhooks, partial results, cost surprises).</li>\n<li>A public surface - OSS, a writeup, a dashboard you&#39;re proud of - that lets us see your taste before the interview.</li>\n</ul>","enriched_at":1779959138235},{"id":"job_4b8741ef-9e1","title":"People Partner","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5222243008","location":"San Francisco","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"HR","description":"<p>This is a rare opportunity to be the first dedicated People Partner in the region. As a People Partner, you will serve as the primary point of contact for NA-based leaders and employees, providing in-timezone support across performance, team effectiveness, and organisational design. You will coach and develop managers across the NA org, building leadership capability as the team scales beyond its current ~40.</p>\n<p>You will partner with senior leaders on workforce planning and headcount decisions, feeding into BFL&#39;s global people strategy. You will lead employee relations matters in the US with sound judgement and a solid grasp of relevant employment law. You will act as the regional voice in broader People team conversations, surfacing NA-specific insights, risks, and opportunities to the global team.</p>\n<p>In addition to People Partnering, you will own the smooth running of core People Ops processes for NA, including employee lifecycle events, onboarding, offboarding, compliance, and HRIS hygiene. You will ensure US employment practices are compliant across every state where BFL operates, partnering with Legal where needed. You will collaborate with People Ops colleagues in Europe to maintain consistent global standards while adapting processes for the US context.</p>\n<p>You will use data and tooling to keep NA People Ops running cleanly and at scale – spot inefficiencies and fix them. You will be the person on the ground when something needs sorting fast and Europe is hours ahead.</p>\n<p>The ideal candidate Manager has 6+ years of People/HR experience, with meaningful time in a Business Partnering or People Partner role. They must have worked in tech, preferably in deep tech (AI, infrastructure, developer tooling, fintech, or similar). They should have experience working within or alongside a European-headquartered company, understanding the cultural nuances and time zone dynamics.</p>\n<p>They should have a solid command of US employment law, knowing when to act and when to escalate to counsel. They should be comfortable operating across both strategic partnering and hands-on People Ops – the hybrid nature of the role energises them. They should have strong coaching instincts and the credibility to influence VP-level stakeholders. They should have a data-informed approach, using people metrics to tell stories and drive decisions.</p>\n<p>Experience as the first or only People Partner in a region, or in an early-stage/scaling environment, is a plus. Experience building or improving people processes from scratch is also a plus.</p>","enriched_at":1779069750362},{"id":"job_c73fc987-385","title":"Commercial Counsel","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5217028008","location":"Freiburg im Breisgau, Baden-Württemberg, Germany, San Francisco, California, United States","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Legal","description":"<p>We&#39;re seeking a sharp, motivated, and commercially minded Commercial Counsel to join BFL&#39;s legal team. You will support a broad range of commercial transactions spanning our US and EU go-to-market deals. This is a high-ownership role in which you will draft and review agreements, lead negotiations, and serve as a trusted advisor to the business on all things commercial.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Draft and negotiate a wide range of commercial agreements, including API licensing, enterprise SaaS, model access and deployment, partnerships, vendor agreements, and NDAs</li>\n<li>Support US and EU commercial transactions, with a primary focus on US deals across a variety of industry verticals, and advise on matters of German corporate law</li>\n<li>Partner closely with the GTM, Marketing, FDE, Infrastructure, and Finance teams to provide practical, deal-enabling legal guidance</li>\n<li>Advise on AI-specific legal considerations, including IP ownership and licensing, training data rights, and evolving regulatory requirements for generative AI</li>\n<li>Develop and maintain scalable legal frameworks, contract templates, playbooks, and approval workflows</li>\n<li>Engage with outside counsel on complex or specialized matters and manage those relationships efficiently</li>\n<li>Contribute to company-wide compliance and legal operations initiatives as the legal team scales</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>7+ years of legal experience, with time spent on commercial transactions in the technology sector; ideally spanning both in-house and external firms</li>\n<li>Demonstrated experience negotiating and closing complex technology agreements, including software licensing, API and platform deals, data and content agreements, and partnership contracts</li>\n<li>Prior experience supporting both US and EU commercial deals, with comfort navigating cross-border transactions and a strong awareness of key jurisdictional differences</li>\n<li>Excellent drafting and negotiation skills, with the ability to identify material issues quickly and communicate them clearly to non-lawyers</li>\n<li>Low ego, high accountability; equally comfortable rolling up your sleeves on routine agreements as you are handling high-stakes or novel deal structures</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Experience with AI/ML, developer platforms, or foundational model licensing</li>\n<li>Exposure to generative AI in prior roles is strongly preferred; familiarity with how AI products are built, licensed, and deployed will meaningfully accelerate your effectiveness in this role</li>\n<li>JD from an accredited law school and active bar membership in at least one US jurisdiction; qualification in a UK or EU jurisdiction is highly preferred</li>\n<li>Familiarity with German corporate law, the EU AI Act, GDPR, or other international regulatory frameworks relevant to AI and data</li>\n<li>Background advising on IP, copyright, or data licensing matters in the context of AI training or model development</li>\n</ul>\n<p>Everything we do is grounded in four values: obsessed, low ego, bold, and kind. If this sounds like work you&#39;d enjoy, we&#39;d love to hear from you.</p>","enriched_at":1778623529418},{"id":"job_9c1b936e-47a","title":"Member of Technical Staff - Post Training","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5193512008","location":"Freiburg (Germany)","job_type":"full-time","experience_level":null,"work_arrangement":"hybrid","category":"Engineering","description":"<h4>About the Role</h4>\n<p>We&#39;re seeking a Member of Technical Staff to own the post-training pipeline for our multimodal models end to end. This includes data strategy and reward modeling, preference optimization, distillation, and safety tuning across image, editing, and video.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Own the full post-training pipeline end to end , from data curation and reward modeling through fine-tuning, preference optimization, distillation, safety tuning, evaluation, and deployment</li>\n<li>Advance techniques across the post-training stack: SFT, RLHF, RLAIF, DPO, preference learning, and reward modeling to align models with human intent and aesthetic judgment</li>\n<li>Work across modalities: text-to-image, image editing, multi-reference, and video post-training</li>\n<li>Build personalization and customization capabilities that let users adapt our models to their own creative style</li>\n<li>Design and maintain high-throughput fine-tuning and evaluation infrastructure to support rapid iteration across the research team</li>\n<li>Identify quality and alignment gaps through rigorous evaluation, then close them through targeted research and engineering</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>You&#39;ve owned post-training for a frontier generative model through release (SFT, preference optimization (DPO or RLHF), distillation, safety tuning) with measurable quality wins on human prefs or standard benchmarks</li>\n<li>Deep experience across the post-training stack, not just one slice: reward modeling, preference learning, RLHF/RLAIF, and personalization</li>\n<li>Comfortable working across modalities: text-to-image, image editing, multi-reference, and ideally video</li>\n<li>Strong PyTorch fluency; you write research code that others can build on</li>\n<li>Experience with distillation (LADD, DMD, consistency models, or similar) or with building high-throughput eval pipelines is a strong plus</li>\n<li>Bias toward shipping: measurable model-quality improvements that reach users, not just papers</li>\n</ul>\n<h4>How We Work Together</h4>\n<p>We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.</p>","enriched_at":1777043956089},{"id":"job_556f5f38-c43","title":"Member of Technical Staff - VLM","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5193513008","location":"Freiburg (Germany)","job_type":"full-time","experience_level":null,"work_arrangement":"hybrid","category":"Engineering","description":"<h4>About This Role</h4>\n<p>We&#39;re seeking a Member of Technical Staff to pioneer the integration of vision-language models (VLMs) into our FLUX stack. As a key member of our team, you&#39;ll develop novel approaches, innovate on architectures, and answer questions that haven&#39;t been solved yet.</p>\n<h4>What You&#39;ll Work On</h4>\n<ul>\n<li>Lead development and training of state-of-the-art multimodal vision-language models within the FLUX stack , innovating on architectures, not just applying existing ones</li>\n<li>Design fine-tuning strategies that adapt VLMs to specialized creative use cases (captioning, editing instructions, prompt enhancement) that general-purpose models can&#39;t handle</li>\n<li>Research integrations between VLM/LLM capabilities and our diffusion and flow pipelines , finding creative ways to improve generation quality and controllability without computational bottlenecks</li>\n<li>Evaluate emerging multimodal architectures, translating the best of recent research into practical improvements</li>\n</ul>\n<h4>What We&#39;re Looking For</h4>\n<ul>\n<li>You&#39;ve pretrained or significantly advanced a VLM (not just SFT&#39;d or LoRA&#39;d one) that was deployed in a production system or released publicly</li>\n<li>Strong publication record or unambiguous production track record showing you push the frontier on multimodal architectures</li>\n<li>Deep understanding of how vision and language representations interact: tokenization, alignment, grounding, cross-modal attention, and the failure modes of each</li>\n<li>Experience with distributed training at multi-node scale</li>\n<li>Comfortable at the research/production boundary , you care whether the work ships and generalizes, not just whether it reads well</li>\n<li>Experience with diffusion or flow-based generative models is a strong plus , especially if you&#39;ve thought about how autoregressive and diffusion paradigms can compose</li>\n</ul>\n<h4>How We Work Together</h4>\n<p>We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all.</p>","enriched_at":1777043878225},{"id":"job_0cc07454-b0f","title":"Member of Technical Staff - Pretraining","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5193508008","location":"Freiburg (Germany)","job_type":"full-time","experience_level":null,"work_arrangement":"hybrid","category":"Engineering","description":"<h3>About the Role</h3>\n<p>We&#39;re building the foundation models that power the next wave of visual intelligence, and pretraining is where that work begins. This role sits at the center of our research effort, shaping training objectives, architectures, data strategies, and systems behind our joint image, video, and audio foundation models.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Lead large-scale pretraining experiments for our multimodal (image, video, audio) foundation models (architecture, objective functions, scaling strategies)</li>\n<li>Develop and evaluate novel ideas across architecture, optimizers, and training algorithms</li>\n<li>Contribute across the full stack: low-level GPU and systems optimizations, research code, and high-level model design</li>\n<li>Lead focused research projects independently and drive larger cross-team initiatives</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>You&#39;ve led or co-owned pretraining for a foundation model (image, video, LLM, or multimodal) that shipped to production or a major release</li>\n<li>Own architectural calls that move the model: attention patterns, modulation schemes, loss formulations, tokenization strategies</li>\n<li>Deep experience with large-scale distributed training: FSDP/TP/PP, multi-node runs at 500+ GPUs, debugging loss spikes, NaNs, throughput regressions, and silent correctness issues at scale</li>\n<li>Strong intuition for architecture and objective design , you&#39;ve made calls on attention patterns, modulation schemes, or loss formulations that moved a real model</li>\n<li>Track record of shipping: top-venue publications (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) paired with production impact, or unambiguous production wins at a frontier lab</li>\n<li>Deep Python and PyTorch proficiency; comfortable reading and modifying low-level training code</li>\n<li>Familiarity with visual generative models is a must</li>\n</ul>\n<h3>How We Work Together</h3>\n<p>We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.</p>","enriched_at":1777043856420},{"id":"job_9cac404c-fb9","title":"Senior Solutions Architect","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/4642947008","location":"San Francisco (USA)","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"We're seeking a Senior Solutions Architect to bridge our research frontier and customer reality. As a key member of our team, you'll onboard customers to our suite of models, providing hands-on guidance on prompting strategies, inference optimization, evaluation frameworks, and finetuning approaches. You'll work alongside our Sales and BD teams on complex customer projects, act as a central internal hub connecting go-to-market, engineering, and applied research teams, and create reusable technical enablement resources. You'll also translate customer technical feedback into actionable product insights and collaborate with engineering and research teams to implement required updates and new features.\n\nYou should have a deep understanding of generative AI, hands-on experience serving generative deep learning models in production settings, and a track record of working directly with customers, iterating on solutions, and providing tailored support. Proficiency in Python and intuitive understanding of API integrations are also essential. Excellent communication skills, honed through collaborating with non-technical stakeholders, are necessary to adapt your message depending on who's in the room.\n\nPrior experience finetuning diffusion models, working with customization tools like ComfyUI, and contributing to open-source projects in the diffusion model space are highly valued. Deploying models on cloud platforms using state-of-the-art serving infrastructure is also desirable.","enriched_at":1776428877237},{"id":"job_b7fac85b-12f","title":"Senior Account Executive","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5014658008","location":"San Francisco (USA), Freiburg (Germany)","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Sales","description":"We're seeking a Senior Account Executive to join our commercial team. As a key member of our team, you will own the end-to-end commercial journey, working closely with research, engineering, and leadership to help customers move confidently from evaluation to production. You will run complex, multi-stakeholder deals involving technical buyers, executives, and legal teams, and design and execute sales motions across APIs, on-prem deployments, and custom licensing.\n\nKey responsibilities include:\n\n* Owning the full sales cycle from discovery through close and expansion across startups, scaleups, and enterprises\n* Running complex, multi-stakeholder deals involving technical buyers, executives, and legal teams\n* Designing and executing sales motions across APIs, on-prem deployments, and custom licensing\n* Building durable customer relationships that drive retention and long-term expansion\n* Partnering closely with solutions engineering, forward-deployed engineers, product, research, and legal on bespoke deals\n* Translating customer needs and market signals into actionable feedback for product and research\n\nThe ideal candidate will have experience selling technical products to tech executives, ML teams, and enterprise stakeholders, and a proven track record of managing long, multi-stakeholder sales cycles and closing strategic landmark deals.\n\nAs a Senior Account Executive, you will be part of a distributed team with real offices that people actually use. Depending on your role, you will either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected.\n\nWe are a frontier research lab and we value obsessions, low ego, boldness, and kindness. If this sounds like work you'd enjoy, we'd love to hear from you.","enriched_at":1776428868803},{"id":"job_6e0e451e-837","title":"Account Executive","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5142062008","location":"Freiburg (Germany)","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"Sales","description":"We're looking for an Account Executive to join our team. As an Account Executive, you will own the full sales cycle from qualification through close for SMB, startup, AI-native, and enterprise customers. You will manage a book of 30-50+ accounts, driving retention, adoption, and expansion. You will qualify inbound leads and run outbound prospecting into target segments. You will execute sales campaigns in collaboration with sales leadership. You will handle deals across API access and weight licensing. You will translate customer needs and usage patterns into expansion opportunities. You will collaborate with solutions engineering and product on technical questions.\n\nThis is a full-cycle role, and you will be responsible for everything from first touch to close to renewal and upsell. You will work with a variety of accounts, including fast-moving AI startups and household-name enterprises. You will need to be able to land deals, prove value, and grow accounts into strategic relationships.\n\nIf you're already closing deals and want to be at the forefront of the generative AI wave, this is the role for you.\n\nWe're looking for someone who has closed real deals, moves fast, and is hungry to have outsized impact at a company where your work directly drives revenue. You should have 2-4 years of experience in a closing sales role, ideally with a BDR-to-AE progression. You should be comfortable discussing model capabilities, API integration, and deployment with technical buyers. You should have a track record of managing a high volume of accounts and deals in parallel without dropping balls. You should be organized, disciplined, and self-directed.","enriched_at":1776428793616},{"id":"job_4075c787-328","title":"Member of Technical Staff - Large Scale Data Infrastructure","source_url":"https://job-boards.greenhouse.io/blackforestlabs/jobs/5019171008","location":"Freiburg (Germany), San Francisco (USA)","job_type":"full-time","experience_level":"staff","work_arrangement":"hybrid","category":"Engineering","description":"<p>We&#39;re looking for infrastructure engineers to work at peta-to-exabyte scale. You&#39;ll build data systems behind the largest training runs on thousands of GPUs, where fixing one bottleneck lets researchers train the next breakthrough model.</p>\n<p><strong>What You&#39;ll Work On:</strong></p>\n<ul>\n<li>Scalable data loaders for training runs across thousands of GPUs</li>\n<li>Efficient storage and retrieval systems for petabyte-scale datasets</li>\n<li>Multi-cloud object storage abstraction</li>\n<li>Execute large-scale data migrations across storage systems and providers</li>\n<li>Debug and resolve performance bottlenecks in distributed data loading</li>\n</ul>\n<p><strong>Technical Focus:</strong></p>\n<ul>\n<li>Python, PyTorch DataLoader internals</li>\n<li>Object storage (e.g. S3, Azure Blob, GCS)</li>\n<li>Parquet for metadata</li>\n<li>Video: ffmpeg, PyAV, codec fundamentals</li>\n</ul>\n<p><strong>What We&#39;re Looking For:</strong></p>\n<ul>\n<li>Built and operated data pipelines at petabyte scale</li>\n<li>Optimized data loading</li>\n<li>Worked with petabyte-scale video and image datasets</li>\n<li>Written processing jobs operating on millions of files</li>\n<li>Debugged distributed system bottlenecks across large fleets of machines</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience streaming dataset formats (e.g. WebDataset)</li>\n<li>Video codec internals and frame-accurate seeking</li>\n<li>Distributed systems experience</li>\n<li>Slurm and Kubernetes for job orchestration</li>\n<li>Experience with object storage performance tuning across providers</li>\n</ul>\n<p><strong>How We Work Together:</strong></p>\n<ul>\n<li>We&#39;re a distributed team with real offices that people actually use. Depending on your role, you&#39;ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We&#39;ll cover reasonable travel costs to make this possible. We think in-person time matters, and we&#39;ve structured things to make it accessible to all. We&#39;ll discuss what this will look like for the role during our interview process.</li>\n</ul>\n<p><strong>Everything we do is grounded in four values:</strong></p>\n<ul>\n<li>Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.</li>\n<li>Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.</li>\n<li>Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.</li>\n<li>Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.</li>\n</ul>","enriched_at":1776428788781}],"category_normalised":[{"category":"engineering","count":8},{"category":"sales","count":3},{"category":"legal","count":1},{"category":"hr","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":7},{"week_start":"2026-04-20","count":3},{"week_start":"2026-05-11","count":2},{"week_start":"2026-05-25","count":1}],"trend":"stable","wow_pct":-50},"momentum":{"recent_14d":0,"prior_14d":1,"growth_pct":-100,"classification":"stable"},"salary_vs_industry":{"company_median":196250,"industry_median":null,"percentile":null,"sample_size":2,"by_region":[],"transparency_pct":15,"industry_transparency_pct":0,"transparency_warning":true},"market_share":{"company_jobs":13,"industry_total":13,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.253,"skill_weighted_score":0.275,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"PyTorch","count":4,"score":0.288},{"skill":"Python","count":3,"score":0.258}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"EU","count":7,"share_pct":53.8},{"region":"United States","count":6,"share_pct":46.2}],"emerging":[],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":19}}}}