{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/extraction"},"x-facet":{"type":"skill","slug":"extraction","display":"Extraction","count":23},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_341c03fb-021"},"title":"Engineering Manager, Contracting Platform","description":"<p>We are seeking an experienced Engineering Manager to join our Contracting Platform team. As an Engineering Manager, you will be responsible for building and evolving the team owning the contracting problem at Stripe. You will own and drive multi-year technical strategy across a complex hybrid architecture of first-party Stripe systems and third-party platforms, while directly shaping the seller experience across the contracting lifecycle and signature process.</p>\n<p>Responsibilities: Deliver solutions to business problems in a metrics-driven data-informed way, working backwards from these outcomes to define concrete projects that leverage Contracting and related systems. Build a high performing team owning a critical area for the business. Mentor and grow engineers to become leaders of the area. Manage relationships and stakeholders across many internal partner teams at Stripe, with a keen understanding of the needs and requirements from all sides of the business. Partner with other EMs and technical leads of Seller Systems to evolve our architectural north star.</p>\n<p>Who you are: We are looking for an experienced Engineering Manager who meets the minimum requirements for this role. While preferred qualifications are a plus, they are not essential. We value individuals who are passionate about simplifying complexity to address real-world business challenges.</p>\n<p>Minimum Requirements: 10+ years experience building software systems, including both experience building user-facing products and internal platforms leveraged by other engineering teams 5+ years of management experience You have a user-first mindset; you care deeply about the product experience and the users who rely on the systems you build You have a track record of growing and managing senior and staff engineers as well as early career engineers You are capable of working in ambiguous fast-moving environments and have a curiosity to learn the domain to a deep level You thrive on a high level of autonomy and responsibility You have strong collaboration skills to work effectively across multiple teams and stakeholders and ship complex initiatives You can communicate complex technical topics exceptionally clearly</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_341c03fb-021","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7802210","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["software systems","first-party Stripe systems","third-party platforms","AI extraction from complex documents","Seller Lifecycle Management (CLM) systems"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:32.289Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"N/A"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software systems, first-party Stripe systems, third-party platforms, AI extraction from complex documents, Seller Lifecycle Management (CLM) systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_902c0e94-b81"},"title":"Legal Operations Analyst","description":"<p>At Cloudflare, we&#39;re on a mission to help build a better Internet. We&#39;re looking for a highly motivated Legal Operations Analyst to join our growing team in the Legal, Policy, and Trust &amp; Safety department. In this role, you will be responsible for optimizing and scaling our contract lifecycle management (CLM) processes, and advancing the LPT department&#39;s technology roadmap.</p>\n<p>We are seeking a highly organized and technically skilled individual with hands-on experience designing processes, implementing, managing, and integrating legal systems with enterprise platforms. The ideal candidate will have a proven track record of evaluating technology, driving automation initiatives, and delivering measurable improvements in legal workflows.</p>\n<p>As a Legal Operations Analyst, you will serve as a co-administrator for Ironclad, managing legal workflows, templates, clause libraries, reporting, and user access. You will facilitate end-to-end contract processes, track milestones, and ensure timely approvals. 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As a Senior Data Scientist, you will play a key role in building and protecting trust on the Airbnb platform by ensuring that the content on Airbnb, including listings, profiles, messages and other user-generated experiences, is accurate, authentic and aligned with our policies and community standards.</p>\n<p>This role is unique in that it directly improves the safety, trust, and quality of real-world user experiences by advancing Airbnb&#39;s ability to understand, interpret and act on content at scale. You will help shape how the platform reasons about listings, profiles, messages and other user-generated content by building the next generation of Trust Content Understanding Models.</p>\n<p>The ideal candidate is a motivated and talented &#39;full-stack&#39; Data Scientist with strong applied ML intuition and a bias toward impact, who can own and drive forward challenging, high-visibility initiatives such as:</p>\n<ul>\n<li>Advance Airbnb&#39;s content integrity capabilities by building Natural Language Processing (NLP) and LLM-based models that understand intent, policy compliance, quality and risk across listings, profiles, and user communications</li>\n</ul>\n<ul>\n<li>Develop high-performing models for detecting problematic or misleading content, including text classification, semantic similarity, information extraction and generative model-based reasoning for policy interpretation and enforcement</li>\n</ul>\n<ul>\n<li>Design and optimize human-in-the-loop Machine Learning (ML) systems for content review, labeling, escalation and continuous model improvement</li>\n</ul>\n<ul>\n<li>Build systems to detect emerging content risks and abuse patterns across regions, cohorts and surfaces using statistical, ML and representation-learning approaches</li>\n</ul>\n<ul>\n<li>Design intelligent sampling and evaluation strategies to measure rare events, policy recall, false positives/negatives and model blind spots in large-scale content systems</li>\n</ul>\n<p>A Typical Day:</p>\n<ul>\n<li>Artificial Intelligence / Machine Learning: Build and deploy production AI/ML systems for content integrity and trust content understanding, including feature engineering, model development and evaluation, thresholding, error analysis and end-to-end model lifecycle management. This includes working with NLP and LLM-based models in real production settings.</li>\n</ul>\n<ul>\n<li>Inference: Partner with inference data scientists to conduct rigorous quantitative analyses, applying working knowledge of causal inference to interpret results, assess impact, and identify gaps and opportunities to improve content quality and trust outcomes.</li>\n</ul>\n<ul>\n<li>Optimization: Develop frameworks to analyze tradeoffs between enforcement accuracy, user experience, operational cost and coverage, and propose strategies to optimize overall system effectiveness.</li>\n</ul>\n<ul>\n<li>Communication &amp; Collaboration: Deliver robust research reports with effective data visualizations, clear storytelling and bullet-proof accuracy to drive forward impact in collaboration with cross-functional partners in product, engineering and operations</li>\n</ul>\n<ul>\n<li>Empowerment: Think strategically about how to scale and evolve Airbnb&#39;s content integrity defenses, helping define the long-term vision for the role of AI-driven content understanding across the Trust ecosystem.</li>\n</ul>\n<p>Your Expertise:</p>\n<ul>\n<li>5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D.</li>\n</ul>\n<ul>\n<li>State-of-the-art knowledge of AI/ML models</li>\n</ul>\n<ul>\n<li>Hands-on experience building, evaluating, and deploying NLP and LLM-based solutions, including text classification, information extraction, semantic understanding or generative applications.</li>\n</ul>\n<ul>\n<li>Working knowledge of causal inference</li>\n</ul>\n<ul>\n<li>Skilled in statistical programming (Python or R) and database usage (SQL)</li>\n</ul>\n<ul>\n<li>Proven ability to communicate clearly and effectively to audiences of varying technical levels</li>\n</ul>\n<ul>\n<li>Ability to translate complex findings and results into compelling narratives that drive impact</li>\n</ul>\n<ul>\n<li>Excellent project management, communication, and collaboration skills</li>\n</ul>\n<ul>\n<li>Trust &amp; Safety experience is a plus</li>\n</ul>\n<p>Your Location:</p>\n<p>This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.</p>\n<p>Our Commitment To Inclusion &amp; Belonging:</p>\n<p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.</p>\n<p>How We&#39;ll Take Care of You:</p>\n<p>Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.</p>\n<p>Pay Range $177,000-$208,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_40a343d1-388","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Airbnb","sameAs":"https://www.airbnb.com/","logo":"https://logos.yubhub.co/airbnb.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/airbnb/jobs/7594971","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,000-$208,000 USD","x-skills-required":["Natural Language Processing (NLP)","LLM-based models","text classification","semantic similarity","information extraction","generative model-based reasoning","policy interpretation and enforcement","human-in-the-loop Machine Learning (ML)","content review","labeling","escalation","continuous model improvement","statistical","representation-learning approaches","intelligent sampling","evaluation strategies","rare events","policy recall","false positives/negatives","model blind spots","large-scale content systems","Python","R","SQL","causal inference","statistical programming","database usage"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:47:24.814Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Natural Language Processing (NLP), LLM-based models, text classification, semantic similarity, information extraction, generative model-based reasoning, policy interpretation and enforcement, human-in-the-loop Machine Learning (ML), content review, labeling, escalation, continuous model improvement, statistical, representation-learning approaches, intelligent sampling, evaluation strategies, rare events, policy recall, false positives/negatives, model blind spots, large-scale content systems, Python, R, SQL, causal inference, statistical programming, database usage","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177000,"maxValue":208000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cece3778-5b8"},"title":"Finance Systems Integration Engineer","description":"<p>We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. 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You will work &#39;in the room&#39; with product builders, identifying architectural flaws during the design phase long before formal reviews begin.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Execute Agile Red Teaming: Conduct rapid, high-impact security assessments on agentic services, focusing on vulnerabilities unique to GenAI such as prompt injection, tool-use escalation, and autonomous lateral movement.</li>\n<li>Develop Advanced Exploits: Engineer and execute complex attack sequences that exploit non-deterministic model behaviors, agentic logic errors, and data poisoning vectors.</li>\n<li>Build Automated Defenses: Write code to transform manual vulnerability discoveries into automated regression testing frameworks (&#39;Auto Red Teaming&#39;) that prevent regression in future model versions.</li>\n<li>Embed with Product Teams: Partner directly with developers during the design and build phases to provide immediate feedback, effectively shortening the feedback loop between offensive findings and defensive engineering.</li>\n<li>Curate Threat Intelligence: Maintain and expand a library of agent-specific attack patterns and exploit primitives to establish robust release criteria for new models.</li>\n</ul>\n<p><strong>About You</strong> In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science, Information Security, or equivalent practical experience.</li>\n<li>Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.</li>\n<li>Strong coding skills in Python, Go, or C++ with experience building security tools or automation.</li>\n<li>Technical understanding of LLM architectures, agentic workflows (e.g., chain-of-thought reasoning), and common AI vulnerability classes.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).</li>\n<li>Experience working in a consulting capacity with product teams or in a fast-paced &#39;startup-like&#39; environment.</li>\n<li>Familiarity with AI safety benchmarks, evaluation frameworks, and fuzzing techniques.</li>\n<li>Ability to translate complex probabilistic risks into actionable engineering fixes for developers.</li>\n</ul>\n<p><strong>Salary &amp; Benefits</strong> The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f73f108d-30a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7596438","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$166,000 - $244,000 + bonus + equity + benefits","x-skills-required":["Python","Go","C++","Red Teaming","Offensive Security","Adversarial Machine Learning","LLM architectures","agentic workflows","chain-of-thought reasoning","AI vulnerability classes"],"x-skills-preferred":["prompt injection","adversarial examples","training data extraction","AI safety benchmarks","evaluation frameworks","fuzzing techniques"],"datePosted":"2026-03-16T14:39:43.939Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, California, US; New York City, New York, US; Zurich, Switzerland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, C++, Red Teaming, Offensive Security, Adversarial Machine Learning, LLM architectures, agentic workflows, chain-of-thought reasoning, AI vulnerability classes, prompt injection, adversarial examples, training data extraction, AI safety benchmarks, evaluation frameworks, fuzzing techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":166000,"maxValue":244000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aa84bec4-daf"},"title":"FBS Associate Data Scientist","description":"<p>FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. 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Our search engine is entirely invented in-house using transformers and generative LLMs.</p>\n<p><strong>Role Details</strong></p>\n<p>As an Analytics Engineer on the Offsite Search Optimization team, you will improve the e-commerce experience for hundreds of millions of users across the world by making it faster and more personalized. The team&#39;s mission is to bridge the gap between onsite product discovery and external discovery platforms, ensuring that Constructor-powered websites can be found, understood, and correctly represented by both Google and Generative engines.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build measurable foundations to track visibility, traffic sources, and performance across SEO and GEO.</li>\n<li>Build the architecture to run technical checkups on customer websites, assess their optimisation level, and provide clear recommendations on what needs to be fixed.</li>\n<li>Partner with Product teams to adapt enriched content for SEO/GEO and package it toward external discoverability needs.</li>\n<li>Define an SEO/GEO enablement layer with tools, playbooks, and frameworks to scale best practices across teams and customers.</li>\n</ul>\n<p><strong>Challenges You Will Tackle</strong></p>\n<ul>\n<li>Complete visibility of the product discovery from external sources.</li>\n<li>Accurate measurement of organic, branded, AI-driven traffic.</li>\n<li>Create a unified model of landing pages.</li>\n<li>A framework for future SEO experiments (canonical tests, template variations, structured data tests).</li>\n<li>Internal tools that other teams can plug into.</li>\n<li>Run the adoption process of best practices to other teams</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong SQL and Python (requests, pandas, numpy, etc).</li>\n<li>Experience building data integrations between products.</li>\n<li>Experience with APIs &amp; auth (OAuth2, GA4 and Google Search Analytics API).</li>\n<li>Understanding of ETL/ELT workflows on PySpark.</li>\n<li>Building logic of data extraction from non-structured data (referrers, canonical URLs, page types).</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience with BigQuery or similar.</li>\n<li>JS execution basics (how SSR/CSR affects crawlers).</li>\n<li>Knowledge of SEO fundamentals.</li>\n<li>Experience with BI systems (Looker/Metabase/Superset).</li>\n<li>Experience with logs or event handling systems</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Work with smart and empathetic people who will help you grow and make a meaningful impact.</li>\n<li>Regular team offsite events to connect and collaborate.</li>\n<li>Fully remote team - choose where you live.</li>\n<li>Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.</li>\n<li>Work from home stipend! We want you to have the resources you need to set up your home office.</li>\n<li>Apple laptops provided for new employees.</li>\n<li>Training and development budget for every employee, refreshed each year.</li>\n<li>Maternity &amp; Paternity leave for qualified employees.</li>\n<li>Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results.</li>\n<li>Stock options - offered in addition to the base salary</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_64038c66-5fd","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/3D5CFD97C6","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$80k–$120K USD","x-skills-required":["SQL","Python","requests","pandas","numpy","APIs & auth","OAuth2","GA4","Google Search Analytics API","ETL/ELT workflows on PySpark","data extraction from non-structured data"],"x-skills-preferred":["BigQuery","JS execution basics","SEO fundamentals","BI systems","logs or event handling systems"],"datePosted":"2026-03-09T10:57:54.786Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, requests, pandas, numpy, APIs & auth, OAuth2, GA4, Google Search Analytics API, ETL/ELT workflows on PySpark, data extraction from non-structured data, BigQuery, JS execution basics, SEO fundamentals, BI systems, logs or event handling systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":120000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0163f8c1-0f4"},"title":"Distribution Partnerships Lead","description":"<p><strong>Compensation</strong></p>\n<p>$160K – $200K • 0.01% – 0.1% • Offers Commission</p>\n<p><strong>Distribution Partnerships Lead</strong></p>\n<p>You&#39;ll help build and scale the partner channel that compounds Firecrawl&#39;s distribution — products and platforms that integrate Firecrawl and put it in front of their users. That means creating pipeline, running conversations, driving integrations to launch, and turning &#39;interesting&#39; into shipped.</p>\n<p><strong>About Firecrawl</strong></p>\n<p>Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Build and own a pipeline of distribution partners (apps, platforms, devtools, AI products) who can embed Firecrawl</li>\n</ul>\n<ul>\n<li>Run outbound end-to-end: targeting, messaging, follow-ups, and creative ways to get meetings</li>\n</ul>\n<ul>\n<li>Turn &#39;interesting&#39; into &#39;integrating&#39;: align on value, define the integration path, and push deals to shipped launches</li>\n</ul>\n<ul>\n<li>Plan and execute events in SF (meetups, dinners, workshops, conference side-events) that produce high-quality partner conversations</li>\n</ul>\n<ul>\n<li>Create lightweight partner enablement assets (1-pagers, integration docs, launch checklists) to make execution frictionless</li>\n</ul>\n<ul>\n<li>Track pipeline rigorously and communicate progress + blockers clearly</li>\n</ul>\n<p><strong>What We&#39;re Looking For</strong></p>\n<ul>\n<li>Persistent and resourceful, not passive. You don&#39;t take no for an answer. You follow up (politely) until there&#39;s a real answer — and then turn that answer into action.</li>\n</ul>\n<ul>\n<li>Strong relationship instincts. You know how to build trust with founders, product leaders, and GTM teams. You read rooms well, match energy, and know when to push and when to listen.</li>\n</ul>\n<ul>\n<li>High agency by default. You spot gaps, propose solutions, and execute without waiting to be asked. You move fast, stay organized, and ship outcomes — not just activity.</li>\n</ul>\n<ul>\n<li>A clear, proactive communicator. People are never surprised by progress or problems. You surface blockers early and keep stakeholders informed.</li>\n</ul>\n<ul>\n<li>A tools-and-leverage thinker. You learn fast and use tools/AI to multiply your output. You care about doing more with less.</li>\n</ul>\n<p><strong>What We&#39;re NOT Looking For</strong></p>\n<ul>\n<li>Order-takers. If you need a playbook handed to you, this isn&#39;t your role. You&#39;ll be building the playbook.</li>\n</ul>\n<ul>\n<li>Activity reporters. We care about integrations shipped and partners launched — not how many emails you sent. If you optimize for looking busy over moving deals forward, this won&#39;t be a fit.</li>\n</ul>\n<ul>\n<li>Relationship collectors. Warm intros and &#39;great conversations&#39; are nice. We need someone who turns them into signed integrations and shipped launches.</li>\n</ul>\n<p><strong>A Note On Pace</strong></p>\n<p>We operate at an absurd level of urgency because the window for what we&#39;re building won&#39;t stay open forever. If that excites you, keep reading. If it doesn&#39;t, no hard feelings — but this role probably isn&#39;t for you.</p>\n<p><strong>Benefits &amp; Perks</strong></p>\n<p><strong>Available to all employees</strong></p>\n<ul>\n<li>Salary that makes sense — $170,000–215,000/year (SF, U.S.-based), based on impact, not tenure</li>\n</ul>\n<ul>\n<li>Own a piece — Up to 0.20% equity in what you&#39;re helping build</li>\n</ul>\n<ul>\n<li>Generous PTO — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge</li>\n</ul>\n<ul>\n<li>Parental leave — 12 weeks fully paid, for moms and dads</li>\n</ul>\n<ul>\n<li>Wellness stipend — $100/month for the gym, therapy, massages, or whatever keeps you human</li>\n</ul>\n<ul>\n<li>Learning &amp; Development — Expense up to $1000/year toward anything that helps you grow professionally</li>\n</ul>\n<ul>\n<li>Team offsites — A change of scenery, minus the trust falls</li>\n</ul>\n<ul>\n<li>Sabbatical— 3 paid months off after 4 years, do something fun and new</li>\n</ul>\n<p><strong>Available to US-based full-time employees</strong></p>\n<ul>\n<li>Full coverage, no red tape — Medical, dental, and vision (100% for employees, 50% for spouse/kids) — no weird loopholes, just care that works</li>\n</ul>\n<ul>\n<li>Life &amp; Disability insurance — Employer-paid short-term disability, long-term disability, and life insurance — coverage for life&#39;s curveballs</li>\n</ul>\n<ul>\n<li>Supplemental options — Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind</li>\n</ul>\n<ul>\n<li>Doctegrity telehealth — Talk to a doctor from your couch</li>\n</ul>\n<ul>\n<li>401(k) plan — Retirement might be a ways off, but future-you will thank you</li>\n</ul>\n<ul>\n<li>Pre-tax benefits — Access to FSAs and commuter benefits (US-only) to help your wallet out a bit</li>\n</ul>\n<ul>\n<li>Pet insurance — Because fur babies are family too</li>\n</ul>\n<p><strong>Available to SF-based employees</strong></p>\n<ul>\n<li>SF HQ perks — Snacks, drinks, team lunches, intense ping pong, and peak startup energy</li>\n</ul>\n<ul>\n<li>E-Bike transportation — A loaner electric bike to get you around the city, on us</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0163f8c1-0f4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Firecrawl","sameAs":"https://www.firecrawl.dev","logo":"https://logos.yubhub.co/firecrawl.dev.png"},"x-apply-url":"https://jobs.ashbyhq.com/firecrawl/3c7ec24a-b011-4238-bfc6-aac6f8ed3b9a","x-work-arrangement":"Remote","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$160K – $200K","x-skills-required":["Distribution Partnerships","Outbound Sales","Relationship Building","Communication","Tools and Leverage"],"x-skills-preferred":["APIs","Data Extraction","Web Development","LLM-ready Markdown","Structured Data"],"datePosted":"2026-03-08T18:40:44.309Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA (Hybrid) OR Remote-Global"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Distribution Partnerships, Outbound Sales, Relationship Building, Communication, Tools and Leverage, APIs, Data Extraction, Web Development, LLM-ready Markdown, Structured Data","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":160000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_18528dac-ae1"},"title":"Threat Collections Engineer","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for a Threat Collections Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators&#39; impact.</p>\n<p>This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build automated detection systems that use disparate signals to identify abusive behaviour.</li>\n<li>Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes</li>\n<li>Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data</li>\n<li>Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations</li>\n<li>Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries</li>\n<li>Develop behavioural analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure</li>\n<li>Establish feedback loops with investigators to tune detection systems and reduce false positives</li>\n<li>Scrape and normalise data from external sources to feed threat detection and enrichment workflows</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation</li>\n<li>Have experience with data pipeline orchestration tools (Airflow, DBT, or similar)</li>\n<li>Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques</li>\n<li>Have experience integrating external APIs and building data ingestion systems</li>\n<li>Can translate investigator needs and workflows into technical requirements</li>\n<li>Are comfortable building v0 systems and iterating based on user feedback</li>\n<li>Have strong communication skills for working closely with non-engineering stakeholders</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII)</li>\n<li>Background in cyber threat intelligence, security operations, or abuse detection</li>\n<li>Experience building MCP servers or similar tool integrations for AI systems</li>\n<li>Familiarity with web scraping and data extraction at scale</li>\n<li>Experience with behavioural analytics or anomaly detection systems</li>\n<li>Understanding of LLM capabilities and how to leverage them for automation</li>\n<li>A Top Secret Clearance</li>\n</ul>\n<p><strong>Deadline to apply:</strong></p>\n<p>None. Applications will be reviewed on a rolling basis.</p>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.</strong></p>\n<p><strong>Your safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. 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Ship AI features in production for real customers and revenue at 5D. Work in a low-ego, high-learning environment, and grow.</strong></p>\n<p>Apply</p>\n<p>We usually respond within a day</p>\n<p><strong>About Us:</strong></p>\n<p>Fifth Dimension is bringing vibe working to document-heavy industries. Today we work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions.</p>\n<p>We&#39;re a London and New York based startup with an ample runway, backed by Tier 1 European and American investors. 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You&#39;ll own the complete lifecycle of core product capabilities from initial customer conversations through architecture, implementation, deployment, and customer adoption.</p>\n<p><strong>Day to Day, You Will</strong></p>\n<ul>\n<li><strong>Think like a Product Manager+</strong>: Own core product components while balancing technical excellence with business impact</li>\n</ul>\n<ul>\n<li><strong>Own end-to-end delivery</strong> of complex features from initial concept to production deployment and customer adoption</li>\n</ul>\n<ul>\n<li><strong>Collaborate with product and commercial teams</strong> to understand customer needs and translate them into robust technical solutions</li>\n</ul>\n<ul>\n<li><strong>Leverage AI coding tools</strong> like Claude Code to accelerate development workflows</li>\n</ul>\n<ul>\n<li>Lead development of features solving our customers&#39; most complex challenges:</li>\n</ul>\n<ul>\n<li>Advanced data extraction systems for processing property leases at scale</li>\n</ul>\n<ul>\n<li>Sophisticated workflow automation for analyzing planning documents and drafting advice</li>\n</ul>\n<ul>\n<li>Multi-step agentic content generation for creating market research reports</li>\n</ul>\n<ul>\n<li>Implement data privacy and security by design</li>\n</ul>\n<ul>\n<li>Stay ahead of relevant research and technologies</li>\n</ul>\n<ul>\n<li><strong>Mentor other engineers</strong> and help establish engineering best practices</li>\n</ul>\n<ul>\n<li><strong>Invest in your own growth</strong> by taking on ambitious technical challenges and expanding your expertise</li>\n</ul>\n<ul>\n<li>Apply our engineering philosophy: intellectual honesty, effective time management, clear communication, and innovation</li>\n</ul>\n<p><strong>Our Values and Engineering Culture</strong></p>\n<p>At 5D, we embody three core principles: <strong>Own it, Ship it, and Don&#39;t be boring</strong>.</p>\n<p>Our engineering team values:</p>\n<ul>\n<li><strong>Product-Minded Engineering</strong>: Understanding the &quot;why&quot; 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