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Location: Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  Role Overview Welocalize is hiring part-time Linguistic QA Testers with native-level British English. Are you tech-savvy, with a sharp eye for detail and a love of language? Then this is for you. You’ll be an important part of the QA process for emerging technology. Depending on the project, you could be testing never-before-seen apps and technology, e-courses, marketing materials, or whatever interesting task comes your way. Your work helps make sure products sound natural, look right, and work properly for British English speakers. As a QA Linguistic Tester, you’ll mainly proofread and edit content that has already been localized into British English, catching anything that doesn’t feel right, such as: Grammar, typos, and syntax issues Punctuation and capitalization errors Culturally or politically sensitive wording Inconsistencies and stray extra spaces US-style spellings or phrasing that don’t belong in British English You’ll also test user interfaces for functional issues, and occasionally adapt content from English into British English. Main Responsibilities Test a variety of products, from apps and software to e-courses and marketing materials, by carefully following test instructions and test cases Find, write up, and report bugs and errors using best practices in client-specific bug tracking tools and our internal database system Evaluate language in the context of software, mobile apps, and documentation Act as the go-to expert for British English linguistic questions, researching and resolving issues as they arise Follow project-specific quality standards, trademarks, style guides, and client-preferred checklists and glossaries Troubleshoot basic problems, communicate clearly, and escalate testing issues when needed Prioritize tasks and issues quickly and efficiently Deliver assigned work on time and to a high standard Job Requirements Education Bachelor’s degree from a college or university in a related field, or an equivalent combination of education and experience Experience Native-level British English fluency, spoken and written Up-to-date awareness of current, common technical language usage in British English Experience with Microsoft applications (Outlook, Word, Excel, PowerPoint) Comfortable navigating networks and websites across different browsers Basic knowledge of PC hardware (desktop and laptop) and smartphones (iPhone or Android) Flexibility to work onsite and/or remotely, depending on your location Skills & Experience What you bring Native British English skills and strong cultural awareness of the UK Good oral and written communication A highly organized approach, with attention to detail and a real commitment to quality Tech-savviness and the ability to thrive in a fast-paced environment Nice to have Localization, QA, or translation experience Advanced computer skills What will help you shine Strong awareness of our company and industry The ability to establish and develop processes and procedures as part of a client program Sharp problem-solving skills, so you can find the best solution Excellent time management A Plan-Do-Check-Act approach to tasks and workloads Ownership of your deliverables, from start to finish

Location: multiple locations Role Overview: At Cargoo we are building the infrastructure that makes Freight reliable and scalable. Real-time logistics systems, built in .NET. Problem space: Logistics operations today are still largely: manual reactive fragmented across tools incomplete / late data conflicting constraints real-time decision pressure evolving business rules legacy + new system coexistence We’re building a system that: ingests real-time operational data supports planning & execution decisions adapts to constantly changing constraints Design principles: keep things simple before scalable prefer explicit logic over magic abstractions optimize for change, not perfection avoid “framework-driven architecture” accept that some parts will be ugly — temporarily Tech stack: .NET Vue.JS service-oriented architecture relational + operational data storage cloud-based infrastructure What we expect from engineers: Ability to navigate uncertainty and work in ambiguity Willingness to challenge decisions Focus on outcomes, not just code Understanding of trade-offs and complex systems Preferring ownership over comfort What you wont find here : over-engineering everything upfront unnecessary microservices “clean architecture” for the sake of it process-heavy development If this resonates with you – lets talk! Send us: your LinkedIn / GitHub OR a short message explaining what you’ve built and why it matters

Location: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! At Figma we believe design doesn’t end in a file or with your designer - it includes everything that goes into the product you ship: the production code that ties it all together, the systems and developer tools that make that code reliable, the context you provide to our AI agents, and the documentation that keeps everyone on the same page. The Code Area at Figma is redefining how Designers, PMs and Engineers collaborate. We are responsible for agentic workflows enabling ideation and prototyping on production codebases as well as accelerating the journey from design to code. In 2023, we launched Dev Mode , a suite of features that give developers everything they need to navigate design files and transform designs into code. In 2025, we introduced Figma’s MCP , accelerating how ideas get to production. Looking to the future, we aim to further reduce the barriers between design to code and code to design allowing ideation, prototyping and productionisation to happen seamlessly where it most makes sense. Our Code organization is expanding, and we’re hiring AI Product Engineers across multiple levels in the UK. We’re looking for people who have built generative AI products and are eager to lead AI efforts end-to-end, from early ideas to production. Join us in shaping the future of AI at Figma! What you’ll do at Figma: Build and evolve Dev Mode our MCP tools and Make Figma’s leading tools for dev/design collaboration Take part in building new 0→1 products within the agentic coding space Collaborate with designers, PMs, and other engineers craft high quality products Be a mentor to, and be mentored by, exceptional peers across engineering, product & design Build strong personal connections with your teammates and help shape Figma’s culture. We’d love to hear from you if you have: 3+ years of experience shipping user-facing features or products as a full-stack developer Demonstrated strong fluency with React & Typescript Experience communicating and working across functions to proactively drive solutions Attention to detail, quality, and craftsmanship High velocity & a focus on user impact While it’s not required, it’s an added plus if you also have experience: Leading large scale engineering projects with high impact Driving XFN projects collaborating with Product, Design, Data & Research Working with user facing LLM and agentic product features Experience curating and developing eval sets and LLMs as judges At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

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 join a high-performing, strategic sales team focused on moving Honeycomb further into the enterprise space. We’ve proven product-market fit, closed Fortune 500 logos, and built a pipeline that’s primed for the kind of enterprise sellers who know how to multi-thread, influence the C-suite, and navigate $500K–$1M+ ACV opportunities. This is not a role for a former mid-market rep trying to stretch—it’s built for enterprise closers who know the game and want to win it. What you’ll do in the role: Own and drive complex, 6–12+ month sales cycles with Fortune 1000 and Global 2000 companies Build strategic, multi-threaded relationships across engineering, DevOps, observability, and procurement leadership Sell consultatively, bringing deep understanding of the customer’s business, technical landscape, and buying process Collaborate cross-functionally with Solutions Architects, Product, and Customer Success to shape high-value, tailored deals Deliver predictable pipeline growth, accurate forecasting, and exceed quota targets Represent Honeycomb at key industry events, conferences, and executive briefings What you’ll bring to the role: 5+ years of full-cycle enterprise SaaS selling experience, ideally in DevOps, observability, or cloud infrastructure Proven ability to land $500K+ multi-year deals with complex buying committees Strong executive presence with the ability to influence C-level stakeholders across technical and non-technical roles Deep discovery, storytelling, and consultative selling expertise A track record of building champions and navigating enterprise buying cycles with precision Grit, ambition, and a bias for execution—someone who thrives in fast-paced, high-ownership environments Experience leveraging MEDDPICC, Command of the Message, or similar enterprise sales frameworks On Target Earnings (OTE) based on level of experience (Base + Commission) $275,000 — $300,000 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, CA | New York City, NY | 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’s performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training.  As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems.  You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment. Responsibilities: Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor Manage day-to-day execution of the team's work Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment Coach and support your reports in understanding, and pursuing, their professional growth Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you: Have 1+ years of management experience in a technical environment, particularly performance or distributed systems Have a background in machine learning, AI, or a similar related technical field Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development Excel at building strong relationships with stakeholders at all levels Are a quick learner, capable of understanding and contributing to discussions on complex technical topics Have experience managing teams through periods of rapid growth and change Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective Strong candidates may also have experience with: High performance, large-scale ML systems GPU/Accelerator programming ML framework internals OS internals Language modeling with transformers 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: $500,000 — $850,000 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. 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: Bangalore Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: With flexible, distributed-first ways of working, you'll have the support to do your best work, wherever you are. Wrike commits to its customers that their data is monitored around the clock. Our Security Operations Center delivers on that promise through a hybrid model with a 24/7 managed detection partner (Rapid7)—and our analysts are the core drivers who handle escalations, conduct deep-dive investigations, and execute immediate action. As an L2 SOC Analyst , you will play a pivotal role in our security rotation: monitoring and triaging security alerts, responding to escalations from our MDR partner, investigating incidents end-to-end, and continuously maturing our detection capabilities to protect Wrike and our customers. Your Impact: Alert Triage & Escalation: Monitor, triage, and investigate security alerts and events, including direct escalations from our 24/7 MDR partner (Rapid7). Incident Containment & Forensics: Assess risk and impact of potential incidents, conducting end-to-end investigations (log analysis, endpoint forensics, scoping) and taking swift remediation actions. On-Call Coverage: Participate in the SOC on-call rotation to guarantee round-the-clock escalation coverage. Detection Engineering & Tuning: Continuously refine and tune detection rules to minimize false positives and identify genuine threats faster. Proactive Threat Hunting: Contribute to threat hunting initiatives across endpoints, identity providers, SaaS platforms, and cloud environments. Process Improvement: Help document, refine, and optimize SOC playbooks, runbooks, incident reports, and operational escalation workflows. Your Qualifications: Experience: 2–3+ years of hands-on experience in a SOC or security monitoring environment (alert triage, incident investigation, and response). Technical Proficiency: Hands-on experience with SIEM platforms (Rapid7 InsightIDR or similar) and EDR/antimalware tooling for endpoint investigations. Core Knowledge: Strong understanding of network security fundamentals, common threat vectors, and attack frameworks (MITRE ATT&CK). Problem-Solving & Communication: Sharp logical thinking and analytical skills paired with advanced written and verbal English communication abilities. Availability: Ability and willingness to participate in an on-call rotation, including occasional nights and weekends. Standout Qualities: Hybrid Model Experience: Prior experience collaborating directly with an MDR or MSSP partner in a hybrid SOC environment. Extended Tooling Expertise: Hands-on familiarity with tools such as Splunk, Wazuh, Microsoft Defender for Endpoint, Crowdtrike, Okta, Google Workspace, AWS, or GCP. Advanced Capabilities: Previous experience in active threat hunting, detection engineering, or task automation using Python/Bash. Industry Certifications: Relevant security certifications (e.g., Security+, CySA+, GCIH, GCDA, or vendor-specific certifications). Team Dynamics: You will join a highly collaborative, vigilant, and supportive Security Operations Center team. In this role, you will work closely with internal incident responders, cross-functional IT and infrastructure teams, and directly alongside analysts from our 24/7 MDR partner (Rapid7). The team culture values transparent communication, continuous learning, and collective ownership of security outcomes. Our Work Style: We operate in a dynamic, hybrid security model utilizing modern cloud-first security tooling. Tech Stack & Tools: Rapid7 InsightIDR, EDR/XDR platforms, Okta, Google Workspace, AWS/GCP, and custom Python/Bash automation scripts. Methodologies: Framework-driven incident response aligned with MITRE ATT&CK, structured playbooks, and continuous threat-hunting cycles. What Makes Us Different: Unlike traditional SOC environments burdened by endless repetitive alerts, our hybrid model leverages an MDR partner to offload initial noise. This allows our L2 Analysts to focus on complex investigations, high-impact threat hunting, and genuine detection engineering. Benefits & Perks: 18 calendar days of paid vacation 12 days of National & Festival holidays (10 fixed, 2 flexible) Sick Leave Compensation (5 Paid Uncertified Sick Days) Menstrual Leave: Twelve (12) days per calendar year. Women employees are eligible for up to 1 day of menstrual leave per month. Parental Leave: 26 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Group Medical Insurance (Employees + Dependents) Term Life Insurance (Rs 50,00,000) Personal Accident Insurance (Rs 50,00,000) Monthly Broadband / Internet Reimbursement (INR 1500) Hybrid Working Model + Complimentary Lunch & Snacks Your recruitment buddy will be Nandini Singh , Recruiter. #LI-NS2 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Remote Workplace: remote At Offchain, we aren’t just building products: we’re leading a movement.    As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.    At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.    Why Offchain?   Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.   Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.   Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.   To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly. The Role As a Senior Security Engineer at Offchain, you will emulate the real-world tactics, techniques, and procedures of sophisticated adversaries to surface vulnerabilities across our infrastructure and ecosystem tools. You’ll run hands-on penetration tests, lead red team exercises, and work side-by-side with blue team partners to test, refine, and strengthen detection and response capabilities. Your efforts will directly shape how Offchain designs, launches, protects, and achieves compliance for the infrastructure that powers millions of users and applications - including key standards such as SOC 2. What you'll do: Conduct comprehensive code audits across a variety of internal applications and infrastructure. Conduct comprehensive penetration tests across cloud environments (AWS), infrastructure, and backend applications. Collaborate with detection engineering, threat intelligence, and incident response groups to review security controls, uncover coverage gaps, and enhance overall detection quality. Build, maintain, and evolve custom offensive tools, scripts, and automation frameworks to increase assessment speed. Offer offensive security expertise during incident investigations, including log analysis and root cause reviews. Keep up with evolving threats, vulnerabilities, and attack methods; share research internally and engage with the wider security community. Own offensive security projects from start to finish, mentor junior team members, and cultivate a culture of ongoing learning and knowledge exchange. What you'll need: 5+ years of experience in offensive security, penetration testing, red teaming, or a closely related field. Extensive experience with conducting code audits to identify and remediate security issues. Experience with binary exploitation. Mastery of AWS & specific attack techniques and configuration weaknesses. Strong understanding of adversary tactics and frameworks like MITRE ATT&CK. In-depth knowledge of web application security, including OWASP Top 10, ASVS, and common vulnerability categories. Proficiency using offensive security tools such as Burp Suite, nuclei and similar frameworks. Strong programming skills in Python, Go, or similar languages, with proven experience developing tools or automation. Excellent written and verbal communication skills, with the ability to present complex technical details as clear, risk-focused recommendations. A natural ability to think like an attacker - creative, determined, and skilled at assessing risk across complex systems. Nice-to-haves Web3 / blockchain security exposure: smart contract auditing, bug bounty hunting (e.g., Immunefi, Code4rena), or DeFi protocol review. Familiarity with Ethereum L1 / L2 node architecture and security risks. Experience in blockchain infrastructure penetration testing. Perks: Remote-first global workforce + NY office Professional reimbursement program (facilitates industry conference attendance, certifications, and more) Medical, dental & vision coverage (US + some other countries) 401k retirement plan + company match (US only) Wellness stipend Home office set up / ergonomic equipment program

Location: San Francisco, CA | New York City, NY | 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 As a TPU Performance Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance. Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. You may be a good fit if you: Have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems Designing and implementing kernels for TPUs or other ML accelerators Understanding accelerators at a deep level, e.g. a background in computer architecture ML framework internals Language modeling with transformers Representative projects: Implement low-latency, high-throughput sampling for large language models Adapt existing models for low-precision inference Build quantitative models of system performance Design and implement custom collective communication algorithms Debug kernel performance at the assembly level 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: $280,000 — $850,000 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. 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: Hamburg, Germany Overview of the Company Our client is the fastest (and coolest) market research platform. On a mission to make the world a little more fact-based, they help companies understand how consumers think and make better data-driven decisions. They started out in Hamburg back in 2014, but they’re now humbled to call the world their playground, with over 260 employees spread across 15 countries (they’re remote-first), 2600+ international clients, delivering research from +190 markets, globally. Want to be a part of the movement? They value transparency in their recruitment process, and they've created a blog to share what to expect during each step of their journey together. They are looking for a highly driven and passionate Senior Client Relations Manager to join their team and work closely with their FMCG industry lead. You will act as a trusted advisor to their customers regarding the importance and potential of market research, innovation, and consumer centricity. In this role, you will be responsible for building and managing relationships with companies in the FMCG sector. You will showcase the potential of their capabilities and develop a mutually beneficial commercial framework with stakeholders in the FMCG industry. What you’ll be doing You will drive growth by developing and owning the growth strategy for your FMCG categories, you will work on the end to end sales funnel acquiring new customers and coaching them on market research solutions using their platform. You will build relationships and represent the company to marketing and insights leaders, creating trust and building a strong network within the FMCG industry You will expand reach by representing the company at trade fairs and speaking events, leveraging and growing your professional connections to drive business growth You will create opportunities and develop strategic partnerships to strengthen their position as a leading research firm in FMCG You will understand the market and act as the voice of customers, addressing their needs, monitoring competitors, and identifying growth opportunities You will collaborate and work closely with Customer Success and Marketing teams to ensure client success and maximise growth opportunities You will lead with expertise and become a trusted thought leader, helping brands grow and making market research more accessible in the FMCG industry Requirements You have 5+ years of relevant commercial sales experience You have experience in B2B sales, in the market research or FMCG industry You have experience leveraging data and have a consultative approach with clients You have excellent proficiency in German and communication skills in English You are proficient in working with CRM tools such as Salesforce or Hubspot You have an empathetic nature with a keen sense for understanding the needs of others You have an entrepreneurial mindset and consider yourself a problem-solver Benefits Flexibility Policy - Their flexibility policy means there is no hard cap on the number of vacation days you can take. Work-from-anywhere Policy - If you're based in the EU, you can work outside your country of residence for up to 180 days per year. All the hardware you need and your own MacBook If you are located in Hamburg or Berlin, you'll get a Deutschland ticket or access to a mobility budget with the NAVIT app to get you to and from the office space. If you are located in Germany or Spain, you will have access to a Subsidised Urban Sports Club membership . In case you’re located in one of the cities where most of their members are (Hamburg, Berlin, Munich, London, Madrid, Barcelona, or New York), you can get access to their Co-working spaces . Kind reminder: Please ensure that your application is submitted in English. This post not only outlines the ideal candidate but also serves as an inspiration for what this role can evolve into. Even if you consider yourself an 80% fit but have a genuine passion for this position, they encourage you to apply. They're eager to hear from individuals who share their enthusiasm. They are an equal-opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Location: Munich, Germany About our client Our client is a leading consulting firm specializing in digital strategy and transaction advisory. Known for its innovative approach and collaborative culture, the company works closely with top-tier private equity firms and businesses across various industries. With offices in Munich, Berlin, Hamburg, and London, our client is dedicated to driving digital transformation and delivering high-impact solutions that shape the future of the digital landscape. Your responsibilities Advising management in the development of commercial, digital, tech, and data due diligence reports for both buy- and sell-side transactions. Conducting digital business model analyses for leading private equity clients in an international context. Supporting in the development of equity stories and digital value creation initiatives for portfolio companies of private equity clients. Identifying clients' advisory needs, structuring problems, and assisting in developing solutions. Analyzing the strategic impact of artificial intelligence (AI) on business models and its application fields. Maintaining close cross-project collaboration with internal digital expert teams. Preparing presentations for client projects. Being responsible for core activities such as workshops, client meetings, research, business analyses, and process development for both external and internal projects. Requirements Holding a university degree in business, economics, computer science, or a related discipline with excellent grades (Master's degree or MBA an advantage). Having at least 3-4 years of relevant work experience with a focus on digital industries: strategy consulting, transaction advisory, or commercial DD. Possessing a strong affinity for technology, including digital marketing, tech, or AI. Demonstrating strong analytical skills combined with a creative mind. Showing proficiency in Excel and PowerPoint. Having excellent verbal and written communication skills. Being a service-oriented and communicative team player with a passion for work. Speaking English fluently and ideally German. Benefits Impactful collaboration: Joining a growing, highly motivated, and creative team that works directly with the founders/partners. Ideas will shape the future of the client and the digital space. Visionary perspectives: Gaining valuable insights and hands-on experience in new digital business models across eight different industries. Opportunities to actively drive digital transformation. International project responsibility: Taking on responsibility for challenging and diverse projects and supporting customers in an international environment. Collaborative workplace: Engaging in a collegial and family-friendly environment where team members support each other and benefit from a flexible and hybrid working model in offices located in Munich, Berlin, Hamburg, and London. Development-focused philosophy: Exploring a variety of paths for personal and professional development in a dynamic and growth-oriented environment, shaping an individual career. Supportive of well-being: Enjoying regular team events and joint sports sessions, taking advantage of a company pension plan, accessing an exclusive Wellpass membership, and a variety of other company benefits.

Location: Germany; Austria; Switzerland; Belgium About the company Our client is a pioneering dietary supplement company committed to promoting longevity and wellbeing. Beyond their innovative supplements from their Swiss R&D, the company is expanding their reach into the digital health landscape, developing personalised coaching and lifestyle management solutions. Join them to shape the emerging longevity space, fostering healthier, longer lives. As Customer Support & Nutrition Specialist you will play a key role in providing evidence-based nutritional counseling and customer support. This role is remote and can be based anywhere within +/- 2 GMT. German and English language is a must. What you will be doing Customer Service with Substance: You are the first nutrition-related point of contact for the customers and respond to their inquiries via email, chat, social media, and phone – always friendly, solution-oriented, and knowledgeable. Evidence-Based Counseling: You use your expertise in nutrition science to provide sound advice on nutrition, supplementation, and longevity. Content Creation & Review: You support the creation and quality assurance of content such as FAQ pages, newsletters, and service articles – with the goal of communicating knowledge in a clear and engaging way. Feedback & Insights: You systematically gather customer feedback, identify patterns or trends in inquiries, and derive suggestions for improving our client's products, processes, and services. Knowledge Management: You maintain and further develop our internal and external knowledge bases to provide both customers and colleagues with efficient and reliable information. Cross-Functional Collaboration: You work closely with other teams (e.g., Science Team, Product Development, Marketing) and external partners along the value chain to holistically optimize the service experience. Requirements Completed degree in nutrition science, ecotrophology, or a related field Min 1 year of professional experience in the field of nutrition. Very good German and good English skills are a must, both written and spoken Ideally some experience in customer service, support, or customer communication Strong communication skills, empathy, and enthusiasm for engaging with customers Structured and self-reliant working style Confident in using digital tools (e.g., helpdesk systems, CRM, Google Suite) Other language skills such as Italian and French are a plus. Benefits As a member of our client's team, you'll enjoy: Working at a well-funded, early-stage startup in the longevity industry. Being part of a dynamic, high-performing, and fun team. A high degree of personal responsibility, creative freedom, and opportunities. Collaborating with the brightest researchers in the longevity field and with successful and renowned serial entrepreneurs. Fully remote opportunities with home office/coworking support. A strong team culture with regular team events and off-sites. Join us as we shape the emerging longevity space, fostering healthier, longer lives! Company perks and benefits 🗺️ Strong team culture with regular team events and off-sites 🍹 Unlimited holidays and flexible working hours. 💻 Latest MacBook Air 🏡 Remote Office Upgrade budget 🎓Education allowance and accelerated growth paths. 🎁 Complimentary company's products and discounts for family & friends.

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 Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Thrive in fast-paced environments and can rapidly iterate from experimentation to production Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and  language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, …) 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: $350,000 — $850,000 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. 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: 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 join a high-performing, strategic sales team focused on moving Honeycomb further into the enterprise space. We’ve proven product-market fit, closed Fortune 500 logos, and built a pipeline that’s primed for the kind of enterprise sellers who know how to multi-thread, influence the C-suite, and navigate $500K–$1M+ ACV opportunities. This is not a role for a former mid-market rep trying to stretch—it’s built for enterprise closers who know the game and want to win it. What you’ll do in the role: Own and drive complex, 6–12+ month sales cycles with Fortune 1000 and Global 2000 companies Build strategic, multi-threaded relationships across engineering, DevOps, observability, and procurement leadership Sell consultatively, bringing deep understanding of the customer’s business, technical landscape, and buying process Collaborate cross-functionally with Solutions Architects, Product, and Customer Success to shape high-value, tailored deals Deliver predictable pipeline growth, accurate forecasting, and exceed quota targets Represent Honeycomb at key industry events, conferences, and executive briefings What you’ll bring to the role: 5+ years of full-cycle enterprise SaaS selling experience, ideally in DevOps, observability, or cloud infrastructure Proven ability to land $500K+ multi-year deals with complex buying committees Strong executive presence with the ability to influence C-level stakeholders across technical and non-technical roles Deep discovery, storytelling, and consultative selling expertise A track record of building champions and navigating enterprise buying cycles with precision Grit, ambition, and a bias for execution—someone who thrives in fast-paced, high-ownership environments Experience leveraging MEDDPICC, Command of the Message, or similar enterprise sales frameworks On Target Earnings (OTE) based on level of experience (Base + Commission) $275,000 — $300,000 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: Bogotá, Colombia; Buenos Aires, Argentina; Mexico City, Mexico; Caracas, Venezuela, Bolivarian Republic of; Tegucigalpa, Honduras About Us: Uptalent.io is a premier remote staffing platform connecting top-tier professionals with leading companies globally. We specialize in providing exceptional talent for various industries, ensuring that our clients have access to the best professionals available. Job Description: Uptalent.io is looking for a talented Remote Landscape Architect with proficiency in Vectorworks to join our network of professionals. The ideal candidate will possess specialized skills in landscape design using Vectorworks software and have relevant experience in creating innovative outdoor spaces. If you have a strong portfolio highlighting your work and a robust understanding of landscape architecture principles, we invite you to apply. Key Responsibilities: - Design and develop landscape documentation for various projects, utilizing Vectorworks. - Prepare effective presentations and documentation plans. - 3D renderings using any type of rendering softwares. Success in This Role: Success in this position will be measured by the ability to deliver high-quality, creative landscape designs, while effectively using Vectorworks and collaborating with team members to exceed client expectations. Requirements 3–5 years of experience in residential or hospitality landscape design Degree or diploma in Landscape Architecture Architectural background also valued Proficient in Adobe Creative Suite, Vectorworks (mandatory), and visualization tools (e.g., D5) Demonstrates a strong passion for landscape design and the broader design field Professional, reliable, and collaborative work ethic Fluent in English and advanced communication skills. If you meet the qualifications and are interested in joining our network, please apply with your resume, portfolio, and a cover letter detailing your experience and why you are a good fit for this position. Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

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 Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery Scaling research ideas from prototype to production Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use Implement distributed training systems and performance optimizations to support large-scale model development You may be a good fit if you: Have 8+ years of ML research experience Are familiar with large scale language model training, evaluation, and inference pipelines Enjoy obsessively iterating on immediate blockers towards longterm goals Thrive working collaboratively to solve problems Have expertise in performance optimization and distributed computing systems Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems Can translate research concepts into scalable engineering solutions Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems Strong candidates may also have: Expertise with performance optimization for language model inference and training Experience with computer use automation and agentic AI systems A history working on reinforcement learning approaches for complex task completion Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing) Have experience with VM/sandboxing/container deployment and large-scale data processing Experience working with large scale data problem solving and infrastructure Published research or practical experience in scientific AI applications or long-horizon reasoning 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: $350,000 — $850,000 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. 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: Abu Dhabi, United Arab Emirates; Luxembourg; Berlin, Germany; Bratislava, Slovakia; Bucuresti, Romania; Budapest, Hungary; Dresden, Germany; Dubai, United Arab Emirates; Düsseldorf, Germany; Erevan, Armenia; London, United Kingdom; Frankfurt, Germany; Hamburg, Germany; Hannover, Germany; Krakow, Poland; Kyiv, Ukraine; Leverkusen, Germany; Leipzig, Germany; Manchester, United Kingdom; Poland; Praha, Czechia; Skopje, North Macedonia; Sofia, Bulgaria; Stuttgart, Germany; Tallinn, Estonia; Tashkent, Uzbekistan; Tbilisi, Georgia; Warsaw, Poland Workplace: remote TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully. With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset. We are looking for a Head of HFT for our client in a remote set up role. Requirements 1. 3+ years of hands-on experience in high-frequency or algorithmic trading. 2. Proven track record of working with top-tier trading firms , proprietary trading desks, or hedge funds. 3. Experience leading or contributing to successful HFT strategies and systems. 4. Deep understanding of low-latency systems , high-throughput data processing, and network optimization. 5. Fluent in English (written and spoken). What You’ll Do Lead the design, development, and optimization of high-frequency trading strategies. Build and manage a high-performing HFT team, including quants and engineers. Collaborate with leadership to align trading strategy with overall business goals. Analyze and act on large data sets in real-time to identify profitable opportunities. Maintain and continuously improve latency-sensitive infrastructure. Ensure robust risk management protocols and compliance with relevant regulations. Drive innovation and research in algorithmic trading within the Web3 and crypto space.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent. We lead an effective hiring ecosystem to deliver talent acquisition excellence. We leverage data to enable evidence-based decisions, weaving behavioural science through our selection process, working closely with our Hiring Leadership team who drive hiring at Canonical. We are looking for exceptional people to join our team at the entry level. You will possess a psychology based degree with an exceptional academic track record from high school. You will also bring some relevant experience from the field of talent, from either university coursework relating to talent selection or from an internship or first job in a talent team. In this role you will learn how to implement hiring strategies that result in high performance outcomes of our people and contribute to leading our talent agenda. The suitable candidate will bring an analytical mindset with a high level of curiosity to integrate data to draw insights and outcomes using SQL or Python. You will have the ability to prioritise and deliver work in a fast paced environment with a good level of self motivation and drive to operate in our remote based environment. With a keen interest in the assessment of  talent you will demonstrate a passion for understanding human decisions and behaviours. Great communication skills are also key to this role as you will be working closely with senior stakeholders to ensure they stay on track with their hiring targets. Finally, we would like you to bring a passion and interest for technology platforms and automations to help us drive efficiencies in our processes. Location: These are remote based positions that are available in the EMEA region. The role entails Learning how to assess candidates using behavioural interview techniques. Gaining a deep appreciation of the use of psychometrics in the workplace. Working on process and documentation efficiencies that fuel our hiring practices. Contributing to projects that drive successful hiring outcomes, many of which require advanced analytics skills to integrate data to draw insights. Building excellent stakeholder relationships to help design and implement solutions to complex problems that ultimately ensure we hire exceptional talent. Gaining a deep understanding of our systems and platforms to problem solve and support on hiring questions. Being at the forefront of ticket support and company channel questions, helping to solve issues as you gain a deep understanding of our processes. What we are looking for in you Exceptional academic track record from both high school and university, with an undergraduate degree in a psychology or people based subject. Advanced analytical ability to dissect and analyse data using SQL, with Python and/or advanced statistical analysis advantageous. Exposure to the topic of talent through university degree coursework, a relevant internship or first job. A passion for working in the technology space with evidence as to why. Results driven with the ability to work at pace, with strong project management skills to roadmap, plan and deliver objectives working with the team. Professional written and spoken English with excellent presentation skills. Drive, ambitious and curiosity to own breakthroughs in the talent field. Ability to travel internationally 2-4 times a year, for company events, occasionally for two weeks. Nice-to-have skills Advanced theory of psychometrics A deep understanding of the topic of intrinsic motivation What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Remote Workplace: remote At Offchain, we aren’t just building products: we’re leading a movement.    As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.    At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.    Why Offchain?   Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.   Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.   Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.   To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly. The Role: As part of the Nitro Backend team at Offchain, you will work on the core infrastructure powering Arbitrum, the leading Ethereum scaling solution. In this role, you’ll tackle complex distributed systems challenges, optimize performance, and contribute to the security and scalability of Arbitrum. You’ll collaborate closely with our research, product, and blockchain engineering teams, working at the cutting edge of blockchain technology alongside world-class engineers, including many industry leaders. Who you are: Possess extensive production experience with a programming language that supports concurrency (e.g. Go, C++, or Rust) Possess a strong sense of ownership in your work which drives you to find new and innovative ways to solve complex problems through rigorous experimentation Always up to speed on the latest technologies Possess an open, transparent and direct communication style and have experience working in tight collaboration with your teammates Always open to feedback, new ideas and opportunities for self-improvement You look for ways to help out beyond your immediate day-to-day work What you've done: Made significant contributions to the products you’ve worked on in your career Maintained a security focused mindset, always keeping an eye out for potential threats and vulnerabilities in your code Nice to have: Familiarity with WebAssembly, particularly writing high performant and high security code in production environments Experience working with compilers, architecting systems and developing SDKs Perks: Remote-first global workforce + NY office Professional reimbursement program (facilitates industry conference attendance, certifications, and more) Medical, dental & vision coverage (US + some other countries) 401k retirement plan + company match (US only) Wellness stipend Home office set up / ergonomic equipment program Attention Offchain Job Seekers:   This role cannot be performed in California, or Colorado.   Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com   At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.