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Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: https://cloudlinux.com/ Imunify360 is CloudLinux's security suite for Linux web servers: real-time and background malware scanning, automated cleanup, a WAF, runtime PHP protection (Proactive Defense), a database malware scanner, and IP reputation. It runs on hosting providers' shared, VPS, and dedicated servers, so new web-malware campaigns land on our fleet early. We sit on one of the largest labeled corpora of live web-server malware in the industry: files, verdicts, cleanup outcomes, and analyst decisions collected from production hosting servers every day. It already drives our signatures, heuristics, and ML models, and there is far more to get out of it. We are looking for a Senior ML Engineer who will turn that data into detection that ships — classifiers, LLM-assisted triage and generated signatures — and keep exploring new ML/LLM methods against it, measured by the product's false-negative and false-positive rates, not by notebook accuracy. Our dataset focuses on web malware — PHP, JavaScript, HTML phishing kits, infected WordPress and Joomla plugins and themes, database injections — with the context around each file. What you'll work with: Malware samples from production servers, with verdicts and analyst decisions Years of signatures and detection rules Customer-reported false negatives and false positives Runtime behavior of code on live sites Web-attack traffic File metadata and how files spread across servers Cleanup outcomes, including what came back What you will do: The goal is 10x more malware detected at the same or lower false-positive rate. Hand-written rules and faster pipelines will not get there; models trained on our data might. Decide which files on a server deserve a closer look, within tight CPU and memory budgets Tell malicious code from benign at fleet scale and a sensible cost per file Generate detection signatures automatically from new campaigns Catch malware that only looks malicious in context, such as phishing pages and script injections Route each file to the right detection engine Make cleanup precise so sites stay clean afterwards Prove each model improves detection before it ships How we work: You get an experimentation track, GPUs, and a direct line to leadership; in return, you bring numbers, not opinions. Remote-first, async across UTC−5 to UTC+8. Decisions are written down (ADR-Lite) and public by default. Hardware follows evidence: Each training direction starts with dedicated GPUs on our own bare metal; leadership has committed to fund more when the case is made with data. Agentic engineering: Claude and Codex are the default tools, wired to GitLab, Jenkins, Redash, Jira, and Slite through MCP servers. We look at how engineers work with agents — context, specificity, review quality — not only at output. Close to ground truth: You work daily with malware analysts, detection and infrastructure engineers, and the rest of our ML team. Ship gates: No model or build goes out if it raises false positives or false negatives on our past-error sets. Blameless post-mortems within 24 hours. What you'll deliver: You own the path from raw samples to a model in production, and the numbers that prove it helped. First month: A first model trained on production data and measured against today's engines — suspicious-file triage or a metadata model. The evaluation harness in place: splits by time and campaign so families don't leak, and a regression set from past FPs and FNs. By month 3: Several models in production: some in shadow mode building evidence, some live and producing real detections, all gated on the past-error regression set. A training setup that keeps its GPUs busy. A written proposal (ADR) for the detection cascade, with cost per file and hardware needs. By month 12: Models are a main source of new detections, reported as share of new detections and FN-rate trend. Retraining on fresh analyst and FN labels on a fixed cadence. Generated signatures inside the analyst workflow. Two or three parallel training directions that other engineers can run with your tooling. Requirements What you bring: 5+ years building ML systems that ran in production, including 2+ in an adversarial domain: security, abuse, fraud, or spam. Y ou have trained and fine-tuned transformer models yourself — data preparation, tokenizing code, LoRA/QLoRA or full fine-tunes, distillation, quantization — not only called hosted APIs. Classic ML depth: gradient boosting, linear models on sparse features, calibration, class imbalance, and judgement on when these beat an LLM. Evaluation discipline: leakage-free splits by time and family, precision at a fixed false-positive budget, regression sets, and an honest account of why production will differ from offline. Inference cost engineering: you have measured throughput and latency and made a model fit a CPU or memory budget (ONNX, llama.cpp, vLLM, int8/int4). Strong Python, PyTorch and the Hugging Face stack; SQL on large analytical tables (ClickHouse or similar). Familiarity with PHP or JavaScript , or willingness to pick it up working with our malware analysts. You use AI coding agents daily and can show how. English at upper-Intermediate (B2) level or higher , with particularly strong written communication for async work. It is a strong plus if you have: Web malware, webshells, phishing kits or WordPress security experience. Models over code: AST or token features, code LLMs, graph models on program structure. Malware clustering and similarity analysis. Multi-GPU training on your own bare metal; MLflow or Weights & Biases; dataset versioning. Go or Rust, for on-server inference. Published work or talks on ML for security. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Анализ, подготовка функциональных требований; Проведение экспертных оценок реализации функциональных требований;

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $198,500 — $233,500 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is building the connected AI workspace where teams and agents think together, bringing knowledge, projects, meetings, and AI tools into one place. Joining Corporate Accounting means helping build the financial foundation for a business shaping how work gets done in the AI era. In this role you’ll be a key player on the Corporate Accounting team, working across global accounting areas with a focus on close activities, related reconciliations, and international statutory reporting. You’ll collaborate with teammates to strengthen the accounting processes that support Notion’s growth into new countries. At Notion, you’ll help build the repeatable operating practices that let a growing global business scale with confidence. This role is based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Be a key team player across monthly, quarterly, and annual close: Prepare accurate journal entries and adjustments with clear supporting documentation; support AP and cash reconciliations, including flux analysis and commentary; and complete close work on time. - Help establish reliable, repeatable global accounting processes as Notion expands into new countries. - By your 90th day, contribute meaningfully to close activities and take ownership of clearly defined global reconciliation work. - By your 90th day, organize and track open items, requests, and timelines across international statutory audits, coordinating with Tax and cross-functional partners. - By your 90th day, use Claude thoughtfully to improve reconciliation analysis, audit support, documentation, or quality checks—while applying appropriate data safeguards. - By the end of your first year, become a trusted partner, strengthen controls and accounting processes across your areas, supporting accurate financial statements and statutory filings. - By the end of your first year, raise the bar on documentation and process quality so recurring work is easier to execute, review, and build on. SKILLS YOU'LL NEED TO BRING: - Working knowledge of core corporate accounting processes, including close activities, AP, and cash reconciliations; this is central to the role’s day-to-day work. - Foundational knowledge of U.S. GAAP and accrual accounting, with some familiarity with IFRS. - Experience in public accounting or audit, or in corporate accounting; candidates early in their careers, including new graduates with relevant experience, are welcome. - Ability to organize and track work across multiple international statutory audits with accuracy, clear follow-through, and attention to deadlines. - Curiosity to learn country-specific requirements as Notion expands. - Familiarity with NetSuite, Oracle, or a similar ERP is a plus; experience with BlackLine, tax, or close management is also helpful. - Demonstrated ability to build cross-functional partnerships and communicate clearly with stakeholders at all levels, including explaining fluctuations and their business drivers. - Ownership, sound judgment, and a continuous-improvement mindset: you look for ways to make the work more accurate, scalable, and easier for others to build on. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $105,000 - $125,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Lanham, MD Luminis Health Title: Sterile Processing Technician II Department: Central Sterile Processing Job Code: 000333 FLSA Status: Non-Exempt Position Objective: The objective of this position is to assemble and sterilize all instruments, instrument trays, utensils, and linen packs. Perform distribution functions as it relates to case carts and sterile instrumentation. Must be able to perform all Sterile Processing functions. The position requires rotating weekend and on-call requirements. A strict dress code and professional appearance including wearing surgical scrubs are required. Essential Job Duties: Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions. Uses established departmental and regulatory standards, principles, and procedures for aseptic technique. Processes and assembles instrument trays, respiratory/anesthesia equipment, linen, and utensils accurately and promptly. Uses established schedule to operate steam and plasma sterilizer. In addition, loads unload and move sterilizer carts. Runs verify and record necessary tests on all steamed and plasma equipment used in the department. Ensures that Bowie-Dick removal test is run on pre-vacuum steam sterilizer each morning and after repairs. Reports all malfunctions to the biomedical department, department supervisor, and the O.R. supervisor. Precepts and verifies competency and skill development of staff as appropriate providing meaningful feedback to Training and Staff Development Coordinator and Clinical Operations Supervisor or Manager. Perform spot checks of paperwork, labeling, and biological reads. Inspects packages to ensure all external indicators, filters, and/or labels are securely affixed to items, returns non-satisfactory products to the instrument room. Performs (HLD) High level disinfection with 100% accuracy. Utilizes patient-specific pick lists to accurately gather surgical instruments and disposable supplies requested by the attending surgeon or another Peri-Operative representative. Documents case cart build process in SPM, continuously updating the record as items are fulfilled to maintain the integrity of the needs list. And responds to OR requests and participates in OR huddles as needed. Communicates unmet surgical supply requests to leadership for resolution assistance. Utilizes patient-specific pick lists to accurately gather surgical instruments and disposable supplies requested by the attending surgeon or another Peri-Operative representative. Documents case cart build process in SPM, continuously updating the record as items are fulfilled to maintain the integrity of the needs list. Performs scheduled and cyclic physical inventory of supplies and instruments within the department. Educational/Experience Requirements: Required Minimum Education : High school diploma or equivalent. PREFERRED Experience : Completion of a Central Sterile Processing program through an accredited institution.  Two years of experience as a sterile processing technician. Advancement to tech II based on department needs, competency and performance. Required License / Certifications: Certified Registered Central Service Technician (CRCST) or CBSPD certification preferred Working Conditions, Equipment, Physical Demands : There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands – Medium work . Exerting up to 50 pounds of force occasionally, and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects. Must be able to frequently lift to 35 lbs. stoop, bend, pull, and place and retrieve material. There is reasonable expectation that employees in this position will be exposed to blood-borne pathogens. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. Pay Range $20.65 — $25 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Annapolis, MD Position Objective: The objective of this position is to assemble and sterilize all instruments, instrument trays, utensils, and linen packs. Perform distribution functions as it relates to case carts and sterile instrumentation. Must be able to perform all Sterile Processing functions. The position requires rotating weekend and on-call requirements. A strict dress code and professional appearance including wearing surgical scrubs are required. Essential Job Duties: Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions. Performs decontamination functions of removal of gross debris, an inspection of lumens, processing of laparoscopic equipment/ instruments, and loading of appropriate instruments and equipment per manufacturers recommendations and departmental and regulatory standards with efficiency. Documents all work performed utilizing instrument tracking software SPM. Performs quality control checks. Inspects and assembles all equipment, instruments, scopes, and instrument sets following product recipe to verify items are functional, free of debris, and required per instrument recipe. Maintains clean and organized work area, ensuring workspace is functional for peer use upon work completion or as needed. Performs (HLD) High-level disinfection with 100% accuracy. Operates sterilizers and washers efficiently, loads, and unloads sterilizer carts. Performs the quality assurance tasks necessary for the daily operation of sterilization equipment. Runs the daily OR schedules to anticipate needs and completion of case carts for supplies and instruments. Communicates any missing picklist items that are not available for 100% case cart completion to the charge person/supervisor for proper follow-up. Processes all issues and credits from requisitions/requests from other departments timely and effectively for proper inventory management of supplies. Uses established guidelines for recording and proper processing and checking of loaner equipment. Utilizes patient-specific pick lists to accurately gather surgical instruments and disposable supplies requested by the attending surgeon or another Peri-Operative representative. Documents case cart build process in SPM, continuously updating the record as items are fulfilled to maintain the integrity of the needs list. Performs scheduled and cyclic physical inventory of supplies and instruments within the department. Educational/Experience Requirements: Required Minimum Education : High school diploma or equivalent. PREFERRED Minimum Experience : 6 months minimum working in a sterile processing or operating room environment. Required License/Certifications: Required License / Certifications: Provisional/ full CRCST Certification or the ability to achieve CRCST Certification preferred Working Conditions, Equipment, Physical Demands : There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands – Medium work . Exerting up to 50 pounds of force occasionally, and/or up to 30 pounds of force frequently, and/or up-to 10 pounds of force constantly to move objects. Must be able to frequently lift to 35 lbs. stoop, bend, pull, and place and retrieve material. The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions in accordance with the Americans with Disabilities Act. There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Pay Range $18.65 — $22.76 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Ireland - Dublin Office; United Kingdom - London Office Workplace: Hybrid At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp's mission is to make the world more productive. Our platform brings work together so teams can plan, collaborate, and execute in one place. As an Enterprise Account Executive covering DACH, you will help large organizations reduce fragmented workflows and get more value from a unified work management platform. You will own complex sales cycles, connect ClickUp's capabilities to customer outcomes, and build relationships that support long-term adoption across the region.   The Role: - Build and execute a territory plan for DACH, identifying high-potential accounts and creating qualified pipeline through outbound, partner, and inbound motions. - Own full-cycle Enterprise SaaS sales from discovery and qualification through solution evaluation, business case, negotiation, and close. - Use MEDDIC/MEDDPICC or an equivalent structured methodology to uncover pain, quantify impact, map decision criteria and process, engage economic buyers, and develop champions. - Work with Solutions Engineering and other internal partners to tailor value-led evaluations and navigate business, operations, IT/security, and executive stakeholders. - Maintain accurate CRM data and a dependable forecast, inspect deal health, and surface risks early. - Identify opportunities to expand adoption across departments and regions, partnering with Customer Success on customer outcomes. - Bring actionable market and customer feedback to Sales, GTM, and Product to improve our enterprise approach in DACH.   Qualifications: - 3+ years of full-cycle Enterprise or upper-mid-market SaaS sales experience, including personal ownership of complex, multi-stakeholder deals. - Evidence of meeting or exceeding quota and building pipeline through proactive outbound activity, not only inbound leads. - Demonstrated use of MEDDIC/MEDDPICC or a comparable qualification approach, with specific examples of complex deals you owned. - Executive communication and consultative discovery skills, with the ability to translate customer needs into a clear business case. - Strong judgment, forecasting discipline, collaboration, and accountability in a fast-changing environment. - Location: Ireland is currently listed as the approved hiring location; the territory is DACH. Confirm location/hub and travel expectations before posting. - Language: [[Confirm whether professional German fluency is required for customer conversations in DACH.]]   Desirable: - Experience selling work-management, productivity, or collaboration software. - Experience expanding product-led adoption into executive-sponsored enterprise programs. - Familiarity with enterprise security, procurement, and multi-entity buying processes in DACH. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Redwood City, CA WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Box Shield is an add-on security layer that protects the flow of information and reduces content-centric risk without adding friction. It uses classification-based controls to prevent data loss and AI-powered, context-aware alerts to detect malware, compromised accounts, and malicious behavior at scale. Shield’s mission is to secure enterprise content while delivering a seamless user experience, ensuring Box remains the platform of choice for secure Intelligent Content Management. Shield keeps customer content safe by surfacing malware, compromised accounts, and anomalous behavior early, giving administrators the context they need to take proactive action before incidents escalate. The Shield team is hiring Machine Learning engineers to build and scale ML systems that safeguard millions of users and billions of files from ransomware, data exfiltration, insider threats, and emerging AI-based attacks. As part of a fast-paced backend/core team, you’ll collaborate across Box to ship future-proof security capabilities for high-demand use cases. WHAT YOU'LL DO Build Threat Detection Models: Design, train, and deploy ML models for ransomware detection, suspicious session identification, and user behavior analytics Scale Data Pipelines: Own end-to-end ML pipelines that process high-volume security event streams using Apache Spark, GCP Dataflow, and Vertex AI Feature Engineering: Create and maintain feature stores that power real-time and batch anomaly detection systems Production ML Systems: Deploy, monitor, and iterate on ML models in production, serving enterprise customers at scale Cross-functional Collaboration: Partner with Platform, Application Engineering, and Product teams to translate security requirements into ML solutions Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Must Have Experience 3+ years of experience in applied machine learning Strong programming skills in Python Deployed and maintained ML models serving real traffic Experience with GCP (Vertex AI, BigQuery, Dataflow) or equivalent (AWS SageMaker, Azure ML) Deep understanding of feature engineering, model evaluation, and MLOps Strong communication skills with ability to explain complex ML concepts to non-technical stakeholders Nice To Have Experience Experience in security/threat detection, anomaly detection, or fraud detection Experience with sequential data, anomaly detection, or behavioral modeling (time-series forecasting, LSTM, Transformers, or similar) Knowledge of LLMs and AI safety (prompt injection, guardrails, red-teaming) Experience with streaming/real-time ML systems Familiarity with Java for service integrations Publications or contributions in ML security Tech Stack You’ll Work With Languages: Python, Scala, Java ML/Data: Apache Spark, Vertex AI, BigQuery, TensorFlow/PyTorch Infrastructure: GCP, Kubernetes Domains: User Behavior Analytics, Time-Series Anomaly Detection, AI Security, Content classification, Ransomware Detection Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $175,500 — $219,500 USD

Location: Utah | Remote Please Note: This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we're all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We're leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR. Essential Job Duties We're looking for a Sr. Product Manager to own the systems payroll runs on: data sync, calculation, payment operations tools, and the data model underneath them. You'll make sure payroll builds on BambooHR's shared platform services: canonical data entities, a permission service, an event bus, and an observability stack. You hold payroll to the contracts those services publish. On a typical day you might sequence a migration step so no client's payday is ever the test case, agree on the direction of the payroll data model with payroll engineering leadership, or work out what it costs to keep an old system alive one more quarter. A new platform is still maturing while the old system carries production load. You will: Own payroll platform modernization: decide what moves from old operational tools to their replacement, and when, and sequence each step so payroll is never at risk. Price the cost of keeping old systems running, including support escalations, manual fixes, and the risk of a missed pay date. Own the product half of the payroll data-model redesign, weighing event-driven streaming against the current full-resync approach, jointly with payroll engineering leadership. Validate it against the company's canonical entity models using real client examples. Own access and audit discipline on payroll systems: permission granularity, audit posture, least-privilege carve-outs, deny-by-default rollouts, and feature-flag discipline. Coordinate with the security organization and build on the platform's existing ways of recording who did what. Own compliance and retention for payroll: data retention positions, regulatory changes that affect payroll systems, and the audit interface with governance, risk, and compliance, documented as decisions rather than tribal knowledge. Test long-held assumptions about what payroll systems can and cannot do, publish the real limits and latency curves, and write them up so leadership can act on them. Run a payroll roadmap review cadence: a quarterly plan with dates, a weekly written status for leadership, and coordination with payroll services on operational readiness. Success in the First 180 Days Deliver a dated plan for retiring the old systems with the cost of keeping each one priced, and retire at least one without a payroll incident. Land the payroll data-model direction as a written decision agreed with engineering. Make payroll's permission and audit setup the reference example other internal tools copy. Complete canonical-model validation for each payroll domain so payroll builds against platform contracts by default. What You Need to Get the Job Done You feel aligned with the BambooHR values. 5+ years of product management experience. HCM, payroll, or payroll-adjacent platform experience is strongly preferred. You have coordinated with downstream consumers at scale: dozens of teams reading one system's contracts. Rollout discipline is a reflex for you: parallel runs, instant rollback, user acceptance testing, and release trains. You're technical enough to discuss database schemas, APIs, and migration mechanics with engineers as a peer. You're comfortable in regulated, sensitive-data domains and treat compliance counterparts as partners. You hold evidence standards in a domain full of inherited assumptions: you measure before you assert, and you write decisions down. You flag risks before deadlines. What Will Make Us REALLY Love You Experience stewarding a legacy enterprise platform through a successor migration. Payments, money-movement, or banking-file operational experience. Familiarity with event-driven data architectures that replace batch and resync patterns. A developer background. What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’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. About the role Anthropic's Beneficial Deployments team brings Claude to organizations doing some of the world's most important work across the nonprofit and education sectors. These organizations share a problem: mission-critical work, thin budgets, and little slack to figure out new technology on their own. Our Customer Success team helps them go from first login to Claude being part of how their teams work, but we cannot do that one organization at a time, nor should we. The sector already has trusted intermediaries these organizations turn to first: networks, capacity builders, funder technical assistance providers, community colleges, and fellowship programs. This role exists to make those intermediaries as effective at activating and training organizations on Claude as our own Customer Success team is. As the Scaled Enablement Lead, you'll build the Claude for Nonprofits train-the-trainer program that qualifies intermediaries to onboard organizations and deliver Anthropic-designed workshops on our behalf. You'll own the kits, credentials, and quality gates that let them run the show without an Anthropic CSM in the room. You'll also own the enablement thinking behind scaling impact through Claude Corps : how what fellows learn and build serves every organization we support, not only the ones that host them. The people you enable are not selling Claude. They are trainers, implementers, and program staff whose job is to help mission-driven organizations meaningfully adopt AI. Your job is to make sure these intermediaries can do that with Claude, to the same bar we hold ourselves to, and to help them evolve their offerings as we learn what these organizations need. The measure of success for this role is organizations activated and trained well without Anthropic delivering it. You'll be half program builder, half facilitator. You'll design and deliver the first cohorts yourself, then make the system repeatable: kits, qualification paths, credentials, teach-back gates, and a refresh rhythm that keeps content current as our products change. You'll build on the operating model and certification infrastructure of Anthropic's Education team and own everything specific to this audience, working closely with Beneficial Deployments Customer Success, Partnerships, Claude Corps program leadership, and our Education teams. This is not a partner account management or alliances role, and it carries no quota. It is not a book-of-business Customer Success role either, though you'll spend time with organizations to stay grounded in what these nonprofits truly need. The role reports to the Customer Success Lead for Beneficial Deployments, has no direct reports today, and may grow into people management as the program scales. Expect periodic travel for in-person cohorts and sessions. Key responsibilities: Own the Claude for Nonprofits train-the-trainer program end to end: its tracks, the qualification path for each, the credential, and recertification Build the kits intermediaries teach from: an activation playbook covering kickoff, admin setup, launch, and Day 30/60/90 reviews, and workshop-in-a-box modules starting with AI fluency and use case discovery, each with a deck, facilitator guide, demo scripts, sample data, and workbook Recruit and qualify a pilot cohort of anchor intermediaries, then open a repeatable application process that routes each to the right track and the right home, whether the Claude Partner Network or a Beneficial Deployments credential Design and deliver enablement for network intermediaries, adapting the program to how each reaches and supports its members, and help them evolve their offerings as we learn what organizations need Build the connective tissue among intermediaries so they learn from each other: shared office hours, a facilitator cohort that stays together after qualification, and a clear path for bringing new intermediaries along Support the enablement thinking for Claude Corps: how we extend the reach of fellows and the organizations around the program, and how what they learn feeds back into the enablement every customer receives Hold the quality bar when Anthropic is not in the room through teach-back gates, graded mock sessions, shadowing, and session satisfaction and activation quality at or above Anthropic-led benchmarks Run the program as one system: content intake and refresh calendar, production standards, resource hub organization, learning management system courses and assessments, and the agreement and attribution model for intermediaries acting on Anthropic's behalf Own the program's numbers, including approved trainers, collaborator-led activations and workshops, the Anthropic effort required per organization activated, and quality against benchmark, and use them to decide where the effort goes next Be the field voice for intermediaries inside Anthropic, bringing what they learn back into our enablement content, product feedback, and engagement model Minimum qualifications: 7+ years of experience in enablement, training, or program management Train-the-trainer at scale. You have built and run a program that qualified other people to deliver your training consistently without you in the room: a certified facilitator network, a partner or community education program, or an instructor credential. Learning design and delivery. You have designed adult learning experiences end to end, including curriculum, facilitator guides, and assessments, and delivered them live Nonprofit ecosystem fluency. You have worked with or inside the intermediaries that reach mission-driven organizations (networks, capacity builders, funders, technical assistance providers) and understand how they influence adoption Hands-on proficiency with AI tools. You use Claude and/or other AI tools in your day to day and understand their impact firsthand Preferred qualifications: Comfort being the single owner of a program while depending on teams you do not manage Ownership of, or close partnership with, a certification or badging program, including assessment design and recertification Experience with Skilljar or another learning management system, and with partner portals or resource hubs Facilitation of change management or AI fluency programs for non-technical teams Time at a capacity-building organization, an intermediary, or an edtech or technology company serving the sector Experience leading work through contractors or vendors while keeping several programs coherent The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: 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. Visa sponsorship: We do sponsor visas! However, we aren'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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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're interested in this work. We think AI systems like the ones we'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. 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're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different 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. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, New York, United States About the Role The ideal candidate for this role is a strong cloud architect who excels at both big-picture thinking as well as hands-on technical work.  With very strong AWS, Kubernetes and web infrastructure skillsets, they will be working on projects building or improving our core compute, core network and edge infrastructure. They also play a critical role in helping the iCapital platform scale and doing so with an automation-first mentality. The engineer will work with application and platform teams to onboard services, establish connectivity, troubleshoot traffic flows, and maintain consistent networking patterns across environments. Responsibilities Design and continually improve Kubernetes architecture, also helping operationally manage cluster lifecycle. Work on projects integrating new self-hosted and SaaS services, in some cases understanding and working with developers to help design software architecture Manage Transit Gateway, Network Firewall and external connectivity.  Own architectural guidance for edge and traffic management, including CDN, DNS, and TLS strategies (e.g., Akamai, Cloudflare). Produce and maintain reference architectures, design documents, and architectural guardrails Partner with engineering, security, and product teams to ensure platform standards are practical, well understood, and broadly adopted. Qualifications 8+ years of experience in platform, cloud, or infrastructure engineering roles, with demonstrated architectural responsibility.  Must have strong hands-on experience designing and operating Kubernetes platforms in production environments, including a strong understanding of autoscaling strategies, node provisioning, and security on EKS. Deep understanding of AWS infrastructure, including networking, security primitives, and managed services.  This includes expertise in cloud networking architecture patterns, including VPC design, routing, and planning for scale. Strong understanding of ingress/egress, TGW design and private connectivity. Comfortable operating as a senior individual contributor with influence across multiple teams as a leader. Very Strong written and verbal communication skills, with the ability to explain architectural decisions to both technical and nontechnical audiences. Preferred Qualifications Expertise in Kong or other API Gateways at a deep level Experience directly managing Akamai in a production environment Strong understanding of application design principles Some experience with EKS standards such as Bottlerocket, Karpenter, Auto-mode A software engineering background is helpful, and some experience with Python expected. Certifications (AWS / Kubernetes) are a plus but not required. Benefits The base salary range for this role is $150,000 to $190,000 depending on level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: ES - Barcelona, Spain Scopely is looking for a Senior IT Procurement Specialist to join our Sourcing & Procurement team, embedded within the IT department, in Barcelona on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. The IT/Ops team keeps everything behind the scenes running smoothly and we make sure all teams are equipped and connected - whether across the office or halfway around the world. AV struggles? Don’t worry, we’ve got this. As a Senior IT Procurement Specialist, you will help Scopely make informed, cost-effective technology purchasing decisions across our global business. Working closely with IT, Legal, Finance, and Security, you will manage the end-to-end procurement lifecycle for enterprise software, SaaS, hardware, and IT services. Your work will help strengthen vendor partnerships, optimise technology spend, manage commercial risk, and ensure our teams have access to the technology and services they need. What You Will Do: Lead technology sourcing: Partner with IT and business stakeholders to understand requirements, develop sourcing strategies, and manage RFI, RFP, and RFQ processes across enterprise technology categories. Evaluate and manage vendors: Assess suppliers based on technical capabilities, security, pricing, service quality, and delivery performance while building strong vendor relationships. Negotiate commercial agreements: Lead negotiations covering pricing, contractual terms, service-level agreements, and renewals. Partner with Legal to review and redline vendor contracts. Optimize technology spend: Conduct total cost of ownership analyses, evaluate licensing models, and identify savings opportunities through vendor consolidation, rate optimization, and license rationalization. Manage contracts and renewals: Maintain accurate contract records, licensing entitlements, and renewal schedules while proactively managing contract renewals and true-ups. Support global procurement operations: Serve as the primary procurement partner for IT stakeholders across the US, EMEA, and APAC, collaborating with Legal, Finance, and Security to support procurement decisions. Maintain procurement compliance: Support purchase requisitions, invoice resolution, and Enterprise Technology purchasing cards, including spend monitoring, reconciliation, and adherence to procurement policies and approval requirements. Improve procurement processes: Contribute to improvements in sourcing workflows, procurement reporting, contract management, and purchasing processes to increase efficiency and transparency. What We're Looking For: Bachelor's degree in Supply Chain Management, Business Administration, Information Technology, or a related field. 5–7 years of experience in IT procurement, strategic sourcing, or technology contract management, including enterprise software, SaaS, hardware, or IT services. Strong understanding of enterprise technology categories and the ability to translate technical requirements into effective sourcing strategies. Demonstrated success negotiating technology agreements and delivering measurable cost savings and favorable commercial terms. Experience reviewing technology contracts, including MSAs, SaaS and licensing agreements, SLAs, DPAs, and proof-of-concept agreements, in partnership with Legal. Strong analytical capabilities, including total cost of ownership modeling, spend analysis, and business case development. Familiarity with procure-to-pay processes, procurement and contract management platforms, and SaaS management tools. Excellent communication, stakeholder management, and organizational skills, with the ability to manage multiple sourcing initiatives independently across global teams. Please ensure that the résumé/CV you attach is written in English. At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Washington, DC About Anthropic Anthropic’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. About the role As a Federal Civilian Account Executive - Federal Financials at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Treasury, IRS, Regulators and government-sponsored enterprises such as Fannie Mae. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements You may be a good fit if you have: 8+ years of enterprise sales experience in the federal civilian space preferably within Federal Financials, alongside a proven track record of driving adoption of emerging technologies A deep understanding of federal civilian agency missions, challenges, and technology needs Demonstrated the ability to balance strategic leadership with hands-on sales execution Experience navigating complex federal procurement processes and compliance requirements A strong track record of exceeding revenue targets in the federal civilian space Extensive experience with federal civilian contracting vehicles and procurement mechanisms Excellent relationship-building skills across all levels, from technical teams to senior agency leadership A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators Strategic thinking combined with attention to detail in execution A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: 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. Visa sponsorship: We do sponsor visas! However, we aren'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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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're interested in this work. We think AI systems like the ones we'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. 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're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different 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. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’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. The Editorial Publishing team is looking for a team member to write, edit, and review material that Anthropic publishes about its own systems, including model cards, risk reports, safety and security reports, and other technical material. You’ll have a front-row seat to some of the most consequential material a frontier AI lab produces, working cross-functionally with teams like Alignment, Interpretability, Safeguards, Policy, and Legal to produce rigorous reports on tight timelines. You’ll be describing model behavior, training environments, evaluation methods, and their limitations, and must be legible to both technical experts and general-public readers. The ideal candidate brings clarity and structure to complex writing and editing processes involving many stakeholders. Key responsibilities Write and edit technical public-facing reports and blogs for Anthropic Takes pieces from inception to publication on short deadlines Solicit input from partner teams across Anthropic, while preserving narrative clarity Minimum qualifications Strong alignment with our mission and experience working in AI safety Strong writing and editing skills, with a portfolio of published work that demonstrates an ability to explain technical subjects to non-specialist readers Familiarity with how frontier AI systems are trained, evaluated, and deployed A track record of shipping accurate, polished work on short deadlines and under pressure Ability to work with subject matter experts to understand technical concepts and fact-check assertions Strong judgement about how to incorporate legal, policy, and reputational considerations into the work Comfort taking ownership in a fast-moving environment where processes are still taking shape Preferred qualifications Experience writing or editing safety or security reports, postmortems, transparency reports, or similar public disclosures Experience as a technical writer or editor at a technology company or research lab Comfort working in a content management system (CMS) and publishing web content Experience using AI tools like Claude to streamline editorial processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: 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. Visa sponsorship: We do sponsor visas! However, we aren'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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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're interested in this work. We think AI systems like the ones we'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. 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're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different 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. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’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. About the role Anthropic is seeking an Accountant to join our Corporate Accounting team. You will be a hands-on member of the close: owning a defined set of accounts and entities from transaction through reconciliation, and making sure what lands in the financial statements is accurate, supported, and explainable. This is a role for someone who likes getting into the detail and also asks why the process works the way it does. You will work closely with partners across Finance, Procurement, Payroll, Legal, Tax, and Finance Systems, and you will help us build a close that scales with the company, with a lot of room to improve how the work gets done as we grow. Key responsibilities Own month-end and quarter-end close activities for an assigned set of accounts and entities, including journal entries, accruals, account reconciliations, and supporting schedules, delivered on the close calendar Prepare balance sheet reconciliations and flux analyses, investigate variances to root cause, and write clear explanations for reviewers and business partners Maintain US GAAP supporting schedules and documentation for your areas of ownership, such as prepaids, fixed assets, accruals, and intercompany balances Draft accounting memos and process documentation for routine and recurring transactions, and escalate non-routine items to Technical Accounting with a clear summary and a proposed treatment Execute internal controls for your areas and prepare audit support, including schedules, evidence, and responses to auditor requests Partner with business owners and finance colleagues to understand new transactions, resolve issues at the source, and reduce adjustments after close Review work from contractors and team members, and give feedback that helps the team raise its quality bar Identify and implement process improvements and automation, including using Claude and other AI tools, and check the output carefully before anyone relies on it Support system and process changes in the accounting function, including testing, data validation, and documentation Minimum qualifications Working knowledge of US GAAP, applied hands-on to the monthly close: journal entries, accruals, reconciliations, and financial statement support Experience preparing account reconciliations and flux analyses in an ERP or general ledger system (for example, Workday, NetSuite, or equivalent) Strong spreadsheet skills, including lookups, pivot tables, and reconciling large data sets in Excel or Google Sheets Experience supporting external audits and operating internal controls Clear written and verbal communication, including the ability to explain accounting results to colleagues who are not accountants Sound judgment on when to resolve an issue independently and when to escalate it Attention to detail and a strong sense of ownership, with the ability to manage competing deadlines Preferred qualifications 7+ years of progressive accounting experience, in public accounting, in industry, or a combination of both CPA, ACA, ACCA, or CA qualification, or progress toward one Experience in a fast-moving environment where processes were still being defined, with a track record of improving them Familiarity with technical areas such as ASC 842, ASC 718, ASC 606, fixed assets, or multi-entity and intercompany accounting Experience with close management or reconciliation tooling, or with SQL or Python for data analysis Experience with an ERP migration, SOX readiness, or public company reporting A track record of using AI tools to speed up accounting or finance work, with checks that hold up to review Genuine interest in AI and Anthropic's mission to build reliable, interpretable, and steerable AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $160,000 — $190,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: 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. Visa sponsorship: We do sponsor visas! However, we aren'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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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're interested in this work. We think AI systems like the ones we'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. 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're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different 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. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’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. About the role As a Communications Manager at Anthropic, you will bring The Anthropic Institute's research to the world. The Institute works to advance the public conversation around AI, publishing findings so that policymakers, researchers, journalists, and the public can reckon with what's here and prepare for what's ahead. You will provide dedicated communications coverage for the Institute's two largest and fastest growing research engines: 1) Economic Research, which tracks AI's effect on jobs, wages, and the broader economy through the Anthropic Economic Index and labor market analysis, and 2) Societal Impacts, which studies how Claude is actually used, from workplace impacts and personal guidance to Claude's values and frontier agent use. You’ll also support TAI’s other teams, including Special Projects and the Frontier Red Team. In this role, you'll drive research tracking, publication strategy, and reactive press across both portfolios, including launches like quarterly Economic Index releases and the rollout of the new Economic Research Fund. You'll partner closely with the Economic Research and Societal Impacts research teams day to day, work alongside the Deputy Communications Lead, and coordinate with Anthropic's broader communications, policy, and editorial teams to keep messaging aligned while maintaining the Institute's distinct voice. Responsibilities Drive day-to-day communications for the Economic Research and Societal Impacts teams, including research tracking, publication planning, and reactive press Lead communications planning and launch execution for the Anthropic Economic Index, recurring labor market analyses, and new research initiatives like the Economic Research Fund Develop narratives that translate technical and quantitative research for audiences well beyond specialist communities Build and maintain relationships with reporters across economics, labor, technology, research, and general interest outlets, along with academic economists and think tank researchers Draft communications plans, briefing documents, talking points, press materials, and social content Manage reactive press on sensitive findings in partnership with the Communications Lead, Deputy Communications Lead, and policy team Partner with policy and editorial teams on publishing strategy, ensuring research reaches the largest appropriate audience through the Anthropic blog, the Institute's site, microsites, interactive experiences, video, and audio Present researchers for media interviews, podcast appearances, and speaking engagements, and prepare them to succeed in those moments Partner with Institute communications leadership on major announcements and milestone engagements Build repeatable rollout playbooks and processes that allow a lean team to cover a growing research portfolio Track both teams' research agendas to shape findings early and plan publications months in advance You may be a good fit if you Have deep communications experience, with significant depth in research, science, economics, or policy communications Have a track record of translating complex, technical, or academic research into public narratives that reach audiences well beyond specialist communities Are comfortable reading and interrogating quantitative research, and can engage substantively and credibly with the researchers who produce it Have strong, active media relationships Can move between long-lead strategic messaging and fast-turnaround tactical execution without losing quality, from planning a launch months out to handling an inbound press inquiry the same day Have led multi-channel rollouts spanning strategy, digital, press, and cross-functional approvals Are intellectually curious about AI's impact on the economy, society, and the future of work, and can embrace the unexpected in a field where the unusual is the norm Thrive in fast-moving environments where priorities shift and ambiguity is common Are excited about Anthropic's mission to develop AI that is safe and beneficial Strong candidates may also have Experience at a research institution, think tank, economics publication, or policy organization communicating quantitative findings Familiarity with the AI policy landscape and the debates around AI's labor market and societal impacts Experience standing up communications processes or playbooks on a small, growing team A background working directly with economists, social scientists, or academic researchers on publication strategy Experience managing sensitive or high-scrutiny press moments, including deciding what to say, when, and how Enthusiasm for using AI tools in your own workflows to multiply what a small team can do The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: 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. Visa sponsorship: We do sponsor visas! However, we aren'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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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're interested in this work. We think AI systems like the ones we'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. 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're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different 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. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

В команду листинга (сервис коммерциализации товаров) мы ищем аналитика, который будет работать на всех этапах жизненного цикла продукта: от сбора и валидации требований до приемочного тестирования и сопровождения внедренных решений. ● Опыт самостоятельного ведения задачи от бизнес-требований до релиза.

Location: Bronx, New York 10463 📍 Location: Bronx, NY 🕒 Schedule: Monday to Thursday, 3:30 PM to 6:30 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking a female ABA Paraprofessional (RBT) for a 1:1 in-home case in Bronx, NY. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Female technician required ✅ Experience working with children on the autism spectrum ✅ ABA or RBT experience preferred ✅ Reliable and professional ✅ Experience providing in-home services is a plus What we offer 💰 Competitive pay 🕒 Afternoon schedule, Monday to Thursday 📩 Apply today to be considered.