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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 Frontier research runs on more than research alone. Behind every model launch, review, and cross-team program is a web of decisions, priorities, and follow-through that keeps hundreds of researchers moving in the same direction. Research Operations owns that work: we bring clarity to ambiguity, provide stability during change, and continually deepen our domain knowledge so that researchers can spend their time on the problems only they can solve. It is one of the highest-leverage functions at Anthropic. We are hiring an experienced operator to embed with the leadership of our reinforcement learning (RL) organization, the team responsible for training Claude to be more capable, more reliable, and more aligned. You will shape what leadership spends its time on, make sure priority decisions reach the right decision-makers and get made quickly, and clear the path so leaders can focus on the work that matters most. You will report to the Manager of Research Operations and work daily with RL org leaders and their teams. Key responsibilities Own leadership's time. Shape the week around the leaders' specific, most timely priorities, set agendas so meetings are spent on decisions that move the org forward, and cut what isn't critical so leaders stay focused on the areas that are highest-leverage for them. Triage what reaches leadership. Resolve what you can, route what belongs elsewhere, and thoughtfully escalate the rest. Enable wise decision-making and follow through. Give leaders what they need to decide quickly, communicate those decisions to collaborators, and track commitments through to completion. See problems coming. Surface resourcing gaps, technical bottlenecks, and stalled action-items before they become blockers. Scale leadership voice. Meetings are ephemeral; docs are forever. Draft materials for org-wide announcements, programming, and planning sessions. Protect leadership’s time for creating durable comms that set direction in turbulent times. Make the org run better. Find the friction that keeps recurring and find the people who can fix the process behind it. Be a thought partner. Offer honest, candid counsel to leaders, including crisp and kind disagreement. Minimum qualifications Care deeply about Anthropic's mission and let it underpin all judgment calls you make across the org. Technical fluency to engage substantively with researchers: you can follow a discussion about an RL training run, read a set of eval results and form reasonable hypotheses about what they mean, and hold your own in a technical conversation. You don't need to have trained a model yourself, but you should understand the model training process and have the depth to work closely with leading researchers. Clear writing: you turn dense, jargon-heavy material into summaries and plans that technical collaborators across the RL org and beyond can act on An eye for great dashboards: you can look at data visualizations and scope improvements that make lessons at-a-glance clearer and grounded. Strong follow-through and attention to detail; nothing falls through the cracks on your watch. Ability to push back on senior stakeholders to offer strategic guidance as needed, disagree without causing discord, and influence without direct authority. Comfort with ambiguity and a fast-changing environment; you stay steady when the pace is relentless and the stakes are as high as they can possibly be. Experience in an operations, chief of staff, program management, or comparable role supporting senior leaders in a fast-moving technical organization High integrity. This role sits close to decisions that execute on Anthropic’s mission, and you care about getting them right. Preferred qualifications Experience supporting a senior leader directly in a chief of staff or related function Time in a research institution, lab, or other research-heavy organization Track record of anticipating what colleagues and leaders will need and acting on it before being asked Comfort in an environment where the right answer changes hour to hour Experience moving routine operational work to AI agents, or the ability to script and build small tools Familiarity with AI safety or other existential risks. 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: $210,000 — $260,000 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, NY • United States 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! We're looking for a collaborative and detail-oriented HRIS Analyst to support, maintain, and improve our Workday platform, with a focus on Core HCM — configuration, reporting, security, EIBs, notifications, and alerts. You'll also take on configuration and testing for larger projects across other Workday modules. Success here means balancing hands-on day-to-day support with thoughtful, scalable system improvements. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Configure and maintain Workday Core HCM, including business processes, notifications, alerts, condition rules, validations, and related configuration Maintain and update Workday security roles and role assignments, partnering with stakeholders to ensure appropriate access and compliance with SOX and security best practices Manage the HRIS support ticket queue, triaging requests, resolving system issues, identifying root causes, and recommending process improvements; escalate complex problems as needed. Manage projects end to end, partnering with stakeholders to translate business requirements into scalable Workday solutions, including work spanning modules such as Payroll, Advanced Comp, Time Tracking, Benefits, Performance, or Absence Build, maintain, and troubleshoot Workday reports, dashboards, and calculated fields to support business and compliance needs Create, execute, and troubleshoot Enterprise Interface Builder (EIB) integrations to support data imports, exports, mass updates, and ongoing business operations Support Workday releases by evaluating new functionality, testing enhancements, and recommending adoption opportunities Maintain documentation for configurations, testing, and standard operating procedures We'd love to hear from you if you have: 4+ years of hands-on experience configuring Workday HCM business processes and administering security at a public company Experience managing an HRIS support queue or responding to end-user support requests Proficiency creating, executing, and troubleshooting EIBs, along with experience in Workday reporting, including standard and advanced reports and calculated fields Understanding of HR business processes across the employee lifecycle, with strong analytical and problem-solving skills and attention to detail Excellent communication and stakeholder management skills, with the ability to manage multiple priorities in a collaborative environment 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. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $202,000 USD 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: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry already sees the moment software breaks: the error, the trace, the replay, the commit that caused it. Seer, our AI debugger, uses all of that to figure out what went wrong and how to fix it. We're looking for a Staff engineer to help decide how that system should evolve as models improve every few months. Some of what we build today will be obsolete by next spring. Part of the job is knowing which parts, and building the rest to last. IN THIS ROLE YOU WILL - Build state-of-the-art agentic AI systems to triage, debug, and solve real production issues - Set technical direction for how our agents get context, use tools, and decide when they're done - Build the evals that tell us whether a new model or prompt actually helped, fast enough that people use them - Decide when to use a frontier model, a smaller one, or one we trained, and revisit that as cost and capability shift - Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles - Own major AI initiatives end to end, alongside the developers and product teams shipping them - Run what you ship in production and debug it with Sentry YOU'LL LOVE THIS JOB IF YOU - Are driven by impact and enjoy working on high-stakes, high-visibility projects - Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members - Thrive in cross-functional teams and enjoy building features alongside developers and product teams QUALIFICATIONS - You've shipped an LLM-backed system people depended on, and can tell us what broke - You have strong opinions on agent design and have changed at least one in the last year - You've trained or fine-tuned models when it was the right call, and you know when it isn't - You write solid production Python - You've owned a system or component and led work across multiple engineers and teams, with a design doc people actually read - You write clear technical documentation, mentor other engineers, and present to technical audiences The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $240,000 to $400,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.   EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Remote - EMEA; France; Netherlands; Spain; Germany Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. THE TEAM AND YOUR IMPACT We're hiring a Senior Support Engineer to help customers run Qdrant's vector search engine reliably in production. You'll work Kubernetes-heavy, cloud-native environments every day, investigate hard technical issues, and turn what you learn into tools and workflows that make the whole support function faster. This is a chance to help shape a growing support team at an early-stage AI infrastructure company. WHAT YOU WILL OWN - Provide direct technical support to customers running Qdrant, mostly asynchronous rather than face to face. - Troubleshoot production issues across Kubernetes, cloud infrastructure, networking, storage, and the database layer. - Lead incident investigations and turn recurring problems into documented diagnostics and repeatable fixes, using AI-assisted tooling to speed up triage where it helps. - Partner with engineering and platform teams to resolve customer issues and feed learnings back into the product. - Build and maintain internal tools that make support workflows faster and more observable. - Write and maintain clear documentation for both customers and the internal team. - Lead by example through strong technical work, initiative, and collaboration with stakeholders across the company. WHO YOU ARE - 5 or more years in a customer-facing support or infrastructure role, ideally supporting production Kubernetes environments. - Strong, hands-on Kubernetes skills. A Certified Kubernetes Administrator (CKA) credential is a plus. - Proficient in Python or a similar language for scripting and automation. - Experience with Kafka or similar distributed systems. - Comfortable working in AWS, GCP, or Azure. - Solid understanding of database internals and how they behave under production load. - A proactive, ownership-driven mindset. You dig into ambiguous problems without waiting to be asked. - Clear communicator who can translate between technical and non-technical audiences. NICE TO HAVE - Familiarity with vector search or vector database technologies. - Terraform and infrastructure-as-code experience. Security background is a plus. - Experience with observability tools (for example, Prometheus or Grafana) and automating support workflows. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE

Location: Boston, Massachusetts, United States; Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview Ever wondered what happens to a player's data after a Magic: The Gathering signup or a Hasbro Pulse pre-order? Hasbro's Global Privacy team makes sure it's handled accurately worldwide. We're looking for a Privacy Paralegal who enjoys being the person everyone turns to. When a team anywhere at Hasbro has a privacy question, this is who they call, and they should walk away knowing exactly what to do next. Plenty of questions can be settled on the spot; the thornier ones go to our attorneys, already framed and ready for a decision. Every new launch at Hasbro raises privacy questions. Marketing wants to run a Nerf giveaway, engineers are adding a feature to a game app, a vendor is pitching a tool that touches fan data. This role helps each team find a no-nonsense resolution and sees it through to a decision they can build on. The role also keeps the privacy program running: triaging incidents and requests, collaborating with Privacy Operations on data maps and consent tools, writing the playbooks other teams rely on, keeping SharePoint records audit-ready, helping attorneys refresh privacy notices, and leading the program budget. And each January, it leads Data Privacy Day! Location and Work Arrangement This role is based at our Boston, Massachusetts or Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Build and refine the workflows, playbooks, templates, and procedures that let a small team support a global company. Run privacy reviews of new products, features, and vendors, capturing the technical and business details attorneys need and keeping each review progressing toward a conclusion. Serve as the privacy team's main liaison to Product Development, engineering, and marketing, so privacy requirements are part of project plans from day one. Partner with Privacy Operations to maintain updated processing records alongside data mapping, and to lead our consent, request, and assessment tools as products and vendors change. Track program activity and trends, and report status to privacy leadership. Keep the team's SharePoint organized and audit-ready. Oversee the financial aspects and invoices of the data protection efforts. Answer questions from departments, subsidiaries, and affiliates, turning legal requirements into direction teams can act on. Help attorneys update privacy notices and policies as laws change. What You'll Bring Degree or equivalent experience; paralegal certificate a plus. 2+ years of paralegal or legal experience, ideally in privacy, compliance, or risk; a technology background is a plus. The confidence to be the first call when a product team hits a tricky privacy question: someone who can size up the issue, recommend a practical answer and stand behind it, and recognize when it's time to bring in an attorney. A knack for running an active program: keeping many workstreams moving at once, building processes that scale, and writing updates in plain language that people actually read. Microsoft Office, SharePoint, Teams, and Jira. What Sets You Apart Knowledge of US state privacy laws, GDPR, or Children's Online Privacy Protection Act (COPPA). Experience with OneTrust or Ketch. Certified Information Privacy Professional (CIPP) certification would be advantageous. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $80,200 — $110,400 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. ROLE DESCRIPTION Security is core to Phantom’s product and the trust millions of users place in us. We’re building an AI-native security team that aggressively uses AI to expand the speed, depth, and reach of our work—from code review and threat modeling to vulnerability discovery and security automation. We’re looking for strong security engineers with high agency who can identify the risks that matter, build practical solutions, and take ownership from initial discovery through verified remediation. This is a hands-on, high-impact role spanning architecture, source code, testing, and production systems across Phantom’s mobile, web, and backend products. You’ll work directly with engineering and product teams, lead complex security initiatives, and build capabilities that scale across the company. At the Staff level, you’ll set technical direction and raise the bar for how Phantom designs, builds, and ships secure products. This role is fully remote and open to candidates based in the US, UK and Canada. RESPONSIBILITIES - Product Security Ownership: Partner with engineering teams to identify and address security risks across Phantom’s mobile applications, web products, APIs, and backend services. - Architecture and Threat Modeling: Lead security reviews for new products and major architectural changes, with particular attention to authorization boundaries, sensitive data, transaction integrity, key material, and third-party integrations. - Secure Product Development: Embed practical security controls into the software development lifecycle, from design and implementation through testing, release, and production operation. - Code Review and Security Testing: Perform AI assisted security code reviews and targeted testing of high-risk features. Build repeatable approaches that help find vulnerabilities before they reach production. - Security Tooling: Develop and improve tooling that gives engineers fast, actionable security feedback without creating unnecessary friction. Use automation and AI-assisted workflows where they materially improve coverage or speed. - Software Supply Chain Security: Harden CI/CD, build, and release systems against supply chain threats, including dependency risk, secrets exposure, build provenance, artifact integrity, and compromised developer or automation workflows. - Vulnerability Management: Triage findings from internal testing, researchers, bug bounty submissions, and third-party assessments. Work with owners to determine real-world impact and drive issues through verified remediation. - Incident Response: Support the investigation of product security incidents and suspicious activity. Turn lessons from incidents into durable improvements to product architecture, detection, and engineering standards. - Technical Leadership: Establish product security patterns and expectations across engineering. At the Staff level, lead ambiguous, cross-functional initiatives and influence architecture beyond any single product team. QUALIFICATIONS - 5+ years of experience in product security, application security, security engineering, or software engineering, including experience operating at a senior or staff level. - Strong understanding of web, mobile, API, and distributed-system security, including authentication, authorization, session management, cryptography, and common vulnerability classes. - Hands-on experience building or applying AI-assisted security tooling to test applications and APIs, combining automated analysis with source-code review and manual validation. - Demonstrated ability to review production code in one or more languages such as TypeScript, JavaScript, Rust, Python and Go. - Experience securing software supply chains and CI/CD systems, including dependencies, build infrastructure, secrets, artifacts, signing, and release integrity. - Experience threat modeling complex products and translating security risks into concrete engineering requirements. - Strong judgment when evaluating exploitability, business impact, and appropriate remediation. - Track record of partnering effectively with engineering and product teams while maintaining a high security bar. - Clear written and verbal communication, including the ability to explain technical risk to both engineers and non-security stakeholders. NICE TO HAVES - Experience securing consumer financial products, wallets, payments, or other systems where client integrity and transaction safety are critical. - Familiarity with blockchain systems, smart-contract interactions, transaction simulation, signing workflows, or self-custodial wallet architecture. - Experience securing browser extensions or native mobile applications. - Experience building and integrating application-security tooling, static or dynamic analysis, security test infrastructure, or policy-as-code controls. - Familiarity with AWS, Kubernetes, CI/CD systems, and cloud-native service architectures. - Experience working with bug bounty programs or coordinating external security assessments. The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. Own the organization's budget, vendor relationships, and contractor or offshore capacity. Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: Master's degree or MBA in a related field. Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. Track record leading a major platform migration, consolidation, or reporting rationalization effort. Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across APAC. This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement. Your responsibilities will include: Deep Technical Investigation (Primary Focus) Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions). Detect recurring patterns across sites and convert findings into durable fixes. Own technical workstreams during high-severity incidents. Vendor & R&D Collaboration Build evidence packs and drive escalations with ODM and R&D. Push for firmware, component, and platform-level resolutions. Track outcomes and ensure knowledge flows back to operations. Firmware & Platform Readiness (BIOS/BMC) Support validation and rollout of firmware updates (risk assessment, staging, rollback planning). Help operationalize platform standards across datacenters. Knowledge & Enablement Create scalable runbooks, troubleshooting guides, and error catalogs. Turn investigations into playbooks that elevate L1/L2 teams. Hands-on Support (As Needed) Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment. We expect you to have: Strong hands-on experience with datacenter servers and deep Linux troubleshooting. Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage). Structured incident response experience and clear communication under pressure. Experience driving evidence-based escalations with vendors/R&D. Fluent English (written and spoken). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation). Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Experience supporting enterprise bare metal customers under contractual SLAs. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hyderabad, India About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across APAC. This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement. You’re welcome to work on-site in Hyderabad, India. Your responsibilities will include: Deep Technical Investigation (Primary Focus) Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions). Detect recurring patterns across sites and convert findings into durable fixes. Own technical workstreams during high-severity incidents. Vendor & R&D Collaboration Build evidence packs and drive escalations with ODM and R&D. Push for firmware, component, and platform-level resolutions. Track outcomes and ensure knowledge flows back to operations. Firmware & Platform Readiness (BIOS/BMC) Support validation and rollout of firmware updates (risk assessment, staging, rollback planning). Help operationalize platform standards across datacenters. Knowledge & Enablement Create scalable runbooks, troubleshooting guides, and error catalogs. Turn investigations into playbooks that elevate L1/L2 teams. Hands-on Support (As Needed) Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment. We expect you to have: Strong hands-on experience with datacenter servers and deep Linux troubleshooting. Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage). Structured incident response experience and clear communication under pressure. Experience driving evidence-based escalations with vendors/R&D. Fluent English (written and spoken). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation). Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Experience supporting enterprise bare metal customers under contractual SLAs. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Job Description About the role Checkout.com http://Checkout.com is looking for an ambitious Staff Data Engineer to join our Data and AI Platform Team. Our team’s mission is to build a platform where you can create reliable, scalable, AI-powered streaming and batch data applications, and share data across Checkout.com http://Checkout.com to improve business performance. The Data and AI Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build AI use cases and data products aiming to solve business problems. Our focus is on maximising the amount of time engineers spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions. We're building for scale. As such, much of what we design and implement today is the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Key Responsibilities - Work with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platform - Leverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across the organisation whilst building strong relationships with engineers and engineering managers - Build tooling (modules/SDKs/DSLs) and associated documentation to foster the adoption of the streaming platform by enabling upstream teams and systems to easily publish data and deploy streaming applications - Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own streaming applications - Provide consultancy across the technology organisation to drive the adoption of the platform and unlock event-driven use-cases - Participate, translate, run and execute the collection of requirements and architecture/design initiatives into action plans - Provide hands-on support for all event-based systems including incident triage and root cause analysis About You While experience with our specific tech stack is a plus, we welcome candidates with a strong background in data systems who are eager to learn. The core remit of this role is to own and scale our event streaming capability, not to serve as a general DevOps or infrastructure engineer. - Strong presentation and communication skills with a proven track record of influencing engineering organisations - Strong engineering background with a track record of implementing and owning event streaming platforms - Hands-on experience working with stream technologies, ideally Kafka - Experience designing and implementing stream processing applications with Flink - Experience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS) - Experience with Kubernetes (either self-hosted or on the cloud) - Experience with SQL databases - Experience working with Docker, container deployment and management - Experience describing infrastructure as code (Terraform or similar) as well as designing and implementing CI/CD pipelines - Excellent programming skills with at least one of Java or Python Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

What We Do: Huntress is a fully remote, global team focused on cybersecurity, founded in 2015 by former NSA cyber operators. They protect over 4 million endpoints and 7 million identities worldwide with enterprise-grade cybersecurity products designed alongside their Security Operations Center (SOC). What You’ll Do: - Triage, investigate, respond, and remediate various intrusions daily. - Review EDR telemetry, log sources, and forensic artifacts to determine root causes and provide remediation. - Perform tactical malware analysis. - Investigate suspicious Microsoft M365 activity and provide remediations. - Assist in escalations from Product Support for threat-related and SOC questions. - Contribute to detection engineering creation and tuning. - Participate in projects to improve outcomes for analysts and partners. - Collaborate in a mentored team environment. What You Bring To The Team: - 4+ years experience in SOC or Digital Forensics (DFIR). - Experience with Windows, Linux, and MacOS attack surfaces. - Knowledge of Threat Actor tools and techniques including MITRE ATT&CK Framework, PowerShell, Command Prompt, WMIC, Scheduled Tasks, SCM, Windows Domain and host enumeration, lateral movement, persistence, defense evasion, and other offensive TTPs. - Experience with static and dynamic malware analysis. - Working knowledge of Windows Administration or Enterprise Domain Administration including Active Directory, Group Policy, Domain Trusts. - Working knowledge of core networking concepts such as common ports/protocols, NAT, Public/Private IPs, VLANs. - Working knowledge of web technologies including web servers/applications and OWASP top 10. - Effective communication skills to explain complex events to less technical audiences. - Customer-focused decision making. - Strong curiosity and eagerness to learn. Preferred Qualifications: - Experience in MSP/MSSP/MDR roles. - Linux and MacOS investigative experience. - Experience with scripting languages like PowerShell, Python, Bash, PHP, JavaScript, or Ruby. - Experience with platforms like HackTheBox, TryHackMe, Blue Team Labs Online. - Experience with cloud investigations (M365, Azure, AWS, GCP). - Participation in cybersecurity competitions. - Familiarity with MSP tools such as RMMs. What We Offer: - 100% remote work environment. - Generous paid time off including vacation, sick time, and holidays. - 12 weeks paid parental leave. - Comprehensive medical, dental, and vision benefits. - 401(k) with 5% company contribution. - Life and disability insurance. - Stock options for full-time employees. - $500 one-time home office reimbursement. - Annual education and professional development allowance. - $75/month digital reimbursement. - Access to BetterUp coaching platform. Accommodations: - Reasonable accommodations available for application and selection process upon request. Huntress is committed to inclusivity and non-discrimination, except against hackers exploiting businesses.

Location: Ho Chi Minh City, Vietnam; Vietnam Top Reasons To Join Us Working for the Insurtech Market Leader. 100% Remote Working with cutting edge technologies (Kubernetes, Terraform, GraphQL etc.) and multiple Cloud providers (AWS/Azure/GCP). About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C. We’re the winner of the Insurtech of the Year in all of Asia and other awards globally. We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more. We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world. We are fully funded and backed by reputable VC funds and strategic institutional investors. We have a global presence in Asia, EMEA and the Americas. We’ve grown our annualized revenue by over 30x since January 2021. We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world. About the Role We are seeking a Senior Full Stack Engineer with a strong focus on Support & Observability to join our global engineering support team. This role is ideal for engineers who are passionate about solving complex technical problems, improving system reliability, and delivering exceptional customer experiences. You’ll be part of the frontline technical team —working directly with customers, troubleshooting and resolving platform issues, and collaborating with engineering teams to improve our systems, tools, and processes. While this is a support-heavy role, solid software engineering skills and strong observability knowledge are essential . About Support Team Our Support Team acts as the first line of technical assistance for our customers and internal stakeholders. We not only resolve technical issues but also focus on advocating for customers, enhancing support tools, improving documentation, and collaborating closely with engineering teams to elevate the overall experience. The team works closely with product and project engineering teams to deliver the best possible experience to our customers at scale , ensuring that solutions are not only reactive but also continuously improved for long-term impact. What You Will Do Triage and troubleshoot support issues, when required escalate to project or product engineering teams. Analyze system behavior using observability tools—logs, metrics, tracing—to diagnose root causes of incidents in distributed systems. Debug application code (primarily in .NET or NodeJS) and, when required, contribute fixes or code-level solutions. Take ownership of technical issues by directly investigating and resolving problems at the code level, including identifying root causes and implementing fixes when necessary. Work closely with our technical stack (AWS, Azure, GCP, Kubernetes, Dapr, Terraform, Temporal, Mongo Atlas, PostgreSQL) and our platform languages (.NET, NodeJS, Java). Configure enterprise monitoring solutions. Conduct thorough post-incident reviews to identify root causes and implement preventive measures. Automate support needs, develop runbooks, improve and maintain support tools. Participate in infrastructure capacity planning, demand forecasting, software performance analysis and systems tuning. Understand our product offerings and continuously look for ways to improve the engineering support experience and platform engineering tooling. Participate in R&D / explorations / automation with AI. Help define and drive adoption of KPIs such as CSAT, NPS, resolution time, and first contact resolution. Participate in strategic discussions around customer lifecycle, retention, and satisfaction. What We Need At least 6 years of experience in support or full stack engineering with a strong focus on delivery, observability, and cloud technologies. Strong hands-on experience in software development with modern technologies such as .NET, Node.js and React or Vue.js. Proven experience leading a squad/team , coordinating team members, driving delivery, and providing technical guidance and mentorship. Distributed Systems Troubleshooting: Proven track record of diagnosing and resolving complex issues in distributed systems. Observability and Monitoring Tools: Experience in utilizing observability platforms for metrics, logs, and tracing to pinpoint root causes in microservice architectures. Exceptional problem-solving skills and ability to take ownership of customer issues through to resolution. Strong communication and interpersonal skills to build rapport with customers and collaborate effectively with internal teams. Fluent in English. A customer-first mindset—empathetic, responsive, and solutions-driven. A humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed. Being adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize. You might thrive in this role if You prefer short projects where you can go deep and chase a problem down vs. building long-term solutions over many months. You enjoy seeing multiple use cases, understanding the broad landscape, all while going deep on specific issues. You have previous experience in the insurance or InsurTech space. You are proficient with customer support platforms (e.g., Jira, Zendesk). You have proven track record of leading and scaling customer service operations in a fast-paced environment. Why You'll Love Working Here International Environment Competitive remuneration package Fully Remote Annual Leave Annual Performance Bonus Stock Options after 6 months Health Insurance Remote Work Allowance Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

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 Customer Success Manager on Anthropic's Public Sector team, you will be the post-sales trusted advisor helping national security customers realize the value of Claude and turn their investment into mission impact. You'll combine your customer success expertise with technical fluency to drive adoption of Claude Code, the Claude API, and Claude for Government (C4G) on classified infrastructure delivered through a cleared cloud provider, while maintaining our high standards for safety, security, and discretion. Working closely with our Sales, Applied AI, Product, Engineering, and Policy teams, you'll guide customers from deployment through enablement, model migration, renewal, and expansion. You'll develop genuine partnerships with customers' AI leadership, platform and compute teams, security and accreditation officials, and mission operators—and with the cleared cloud providers and system integrators that deliver alongside us. Your understanding of their mission, how they accredit and govern capabilities on classified fabrics, and how they evidence value to oversight will help them deliver decision advantage. Drawing on both your national security expertise and technical knowledge, you'll serve as a strategic advisor throughout their journey with us—helping them navigate constraints that don't exist in commercial or federal civilian deployments: classified-fabric accreditation, fixed compute capacity, compartmentation, limited telemetry, and need-to-know discipline. Much of this work happens onsite, in the customer's spaces, on their systems. Your role focuses on driving consumption and adoption of Claude across mission workloads, standing up enablement and change management suited to a cleared, mission-driven workforce, identifying and hardening the workloads that matter most to the mission, and demonstrating value in unclassified terms that can leave the building and support renewal and expansion. The insights you gather will directly inform our research priorities, product roadmap, and national security strategy—making you a key voice in shaping how Anthropic builds and delivers AI systems for the most demanding missions. Key responsibilities: Partner with the account executive and Applied AI architect to deeply understand the customer's mission requirements and translate them into an account and success plan, ensuring alignment between mission objectives, the customer's investment, and technical implementation Serve as the primary post-sales advisor to the customer throughout their Claude adoption journey, from deployment through enablement, model migration, renewal, and expansion. You will need to build trusted relationships across the customer's senior stakeholders—AI leadership, platform and compute teams, security and accreditation officials, contracting, and mission operators—and coordinate internally across multiple teams and with cleared cloud providers to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Government on classified infrastructure—managed configuration, capacity and throughput planning, and workload onboarding—with a working understanding of accreditation requirements (FedRAMP High, IL5/IL6, classified-fabric accreditation) Create and deliver compelling enablement and executive content tailored to different audiences. You will need to spread the gamut from hands-on Claude Code enablement for engineering teams (Train the Trainer, managed configuration as the "paved road," Center of Excellence development) up to mission-value conversations with senior agency leadership, in unclassified language that can leave the building Help the customer develop evaluation frameworks and measure adoption and value without direct telemetry—provider capacity reports, customer-run dashboards, workload registries, and agreed leading indicators—and guide model migration and release readiness: eval gates built from their workloads, staged cutovers off end-of-support models, and realistic expectations about what lands on their fabric and when Drive consumption and adoption: separate under-pacing from burst saturation of a fixed compute pool, smooth and onboard workloads before asking for capacity, discover new mission workloads across compartmented organizations, and document value realized in mission-outcome terms (decisions accelerated, coverage, timeliness, findings produced) Own Executive Business Reviews that function as discovery and alignment—leaving executives with sponsor commitments, mutual next steps, and a mission-outcome narrative that supports the renewal decision—and serve as the primary conduit between the customer, cleared cloud providers, and Anthropic Identify common adoption and integration patterns and hero workflows that demonstrate mission transformation, and contribute insights back to our Product, Engineering, Research, and Policy teams—while maintaining strict separation of classified and unclassified channels and escalating correctly (e.g., 'Claude cut a high-volume analytic triage queue from days to hours') Work onsite frequently at customer facilities for enablement, workshops, and relationship building, on the customer’s systems and within their security and need-to-know rules Maintain strong knowledge of the latest developments in LLM capabilities, agentic and Claude Code implementation patterns, and national security AI policy You may be a good fit if you have: Due to U.S. Government contract requirements, this position requires U.S. citizenship and an active TS/SCI security clearance with a current full-scope polygraph (a TS/SCI with CI polygraph may be considered where crossover is supportable) Must have prior experience working with US national security (defense and/or intelligence) agencies —ideally at the level of AI leadership, platform, and compute teams rather than a single program office—and a working knowledge of how national security agencies accredit, budget, govern compute, and measure mission (including the difference between FedRAMP High, IL5/IL6, and classified-fabric accreditation, and the role of cleared cloud providers and system integrators) 5+ years of experience in customer-facing roles such as Customer Success Manager, Technical Account Manager, Solutions Architect, or Consultant, with experience navigating complex stakeholder environments; able to work onsite at customer facilities in the National Capital Region 3-4 days per week Experience driving success with consumption-based products (tokens, throughput, capacity) as well as seat-based products, including measuring adoption and value when you cannot see usage directly Technical fluency with AI/ML concepts, API integration patterns, and agentic tooling such as Claude Code; familiarity with common LLM frameworks, tools, and evaluation approaches, and hands-on experience building something with an LLM API or coding agent, is a strong plus Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, from engineering and platform teams to security and accreditation officials to senior national security leadership Judgment and discretion: never over-promises on dates, capabilities, or documentation; practices need-to-know as a reflex; keeps composure under political and competitive pressure; strategic mindset to identify mission transformation opportunities and translate them into actionable expansion plans Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities—advocating for customer needs across internal (Applied AI, Policy, Research, Security) and external (cleared cloud provider, system integrator, program office) stakeholders Passion for thinking creatively about how to use AI in a way that is safe and beneficial for the national security mission, and ultimately furthers the goal of advancing safe AI systems A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality—you're a true team player 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 — $350,000 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.

About LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Analytics at LawnStarter The analytics team supports the entire company including product, marketing, operations, and finance. The data platform includes a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, data quality, tracking standards, and platform hygiene are side tasks handled by analysts. The Role The Analytics Engineering Manager will be the first dedicated person for data governance, responsible for data trustworthiness and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding ML models, and data security. The role involves collaborating with product, marketing, ops, and finance to prioritize platform work. It is a hands-on role starting solo, building automation, checks, fixing issues, and establishing scalable processes. Eventually, the manager will hire a Lead Analytics Engineer and grow the function as needed. Key differentiators of the role: - First dedicated governance role, reshaping existing standards. - Owns the data roadmap, discovering business needs and prioritizing work. - Whole-stack ownership from source data to ML models. - Leading the migration to Lightdash, setting up permissions and norms. Responsibilities: - Develop and manage the data roadmap balancing business needs and platform health. - Automate monitoring of data quality and freshness, resolve incidents. - Maintain data lineage and impact analysis to assess downstream effects of changes. - Administer Lightdash workspace, permissions, and rollout. - Extend and guard the semantic layer with governed metric definitions. - Govern Segment event tracking catalog, standards, and drift detection. - Ensure AI data readiness for internal AI tools querying the warehouse. - Manage data security, privacy, access controls, and compliance with US state laws. - Maintain governance documentation, ownership models, and review processes. Challenges to solve: - Convert business requests into a prioritized data roadmap. - Ensure Lightdash migration improves platform usability without dashboard sprawl. - Complete and maintain a trustworthy semantic layer. - Manage event-tracking standards and prevent entropy. - Proactively detect and prevent data pipeline breakages with automation and lineage. Success metrics for year 1: - Zero pipeline incidents from unannounced data changes. - Zero freshness incidents; stakeholders never see stale dashboards. - All business areas use official, well-maintained metrics and dashboards. - Every Segment event has an owner and meets standards. - Governance operates as a documented, sustainable system. Requirements: - Passion for data governance as a craft. - Daily use of AI tools for automation, anomaly triage, and documentation. - Hands-on manager who codes, debugs, and configures personally. - Product-minded, able to translate vague requests into prioritized plans. - Automation-first approach to quality checks. - Ability to enforce standards with clear rules and good tooling. Role exclusions: - Not a large-team leadership role; starts solo with potential to hire one lead. - Not a policy or committee role; hands-on fixing with code and conversations. - Not a BI analyst role; focuses on platform and guardrails, not dashboard building. - Not a mature system babysitting role; involves building and evolving the platform. Technologies involved: - Warehouse & pipelines: Redshift, dbt, Airflow - Ingestion: Fivetran, custom Airflow pipelines - Event tracking: Segment - BI tools: Lightdash (primary), Tableau and Metabase (sunsetting) - AI tooling: Claude Code, Codex, Brain (internal AI toolkit) - Observability: AI-powered Analytics Engineer agent for monitoring and anomaly detection Benefits: - Base salary $75k-$120k/year - Fully remote with asynchronous collaboration - Flexible PTO Equal employment opportunity statement included.

Location: Americas; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. ABOUT THE ROLE We're looking for a Senior Product Manager to join the team working on analytics features in RevenueCat. RevenueCat is the monetization engine for 40% of new subscription apps shipped — and the number of apps shipped is growing exponentially. We are uniquely positioned not only to give individual developer impactful information into the performance of their own apps, but also deliver truly unique data and insight given our position in the market; we know what good looks like, and we can not only put numbers in context, but give specific recommendations on metrics to target, experiments to run and anomalies to investigate. Our analytics features help app developers make better decisions that improve the monetization of their apps. As product manager on this team, you are responsible for working with your team to set the vision and roadmap, delivering on it, launching new functionality, and increasing the impact of the team. This role requires: - being technical to understand how our analytics system works and its constraint - being analytical to be able to define how to show data as well as debugging issues and edge cases - being customer obsessed to understand what information app developers need for their decisions and how we can provide this information to them - having an understanding of the app ecosystem, how the economics of app businesses work, and what success means for app developers You will oversee all of the Analytics features at RevenueCat — our charts, benchmarking, dashboard, and predictive LTV. You'll partner directly with leadership, collaborate across engineering and data teams, and act as the primary driver for how our customers understand and grow their revenue. ABOUT YOU Skills & Experience - You have 5+ years of product management or adjacent experience, with meaningful time shipping complex products. - You’re analytical. You can’t do your job without data platform access. You are proficient in SQL (or similar tools) — whatever tool you need to know, you’ll learn. You love diving deep into data yourself. You’re experienced in developing robust and scalable metrics. - You are technical. Coding is not a core requirement for this role, being able to prototype with code is (using your preferred AI stack). You can deeply understand how RevenueCat works — what is simple and what is complex within our domain. Maybe you haven’t built and shipped a mobile app yourself (yet) but you have enough knowledge to work closely and independently with highly technical folks. You can discuss APIs, data models, and risk logic with engineering partners and enjoy diving into system details - You’re an excellent communicator. You can express complex ideas clearly and succinctly — written and verbal, synchronous and asynchronous, across timezones and mediums. You can get your point across. Values and Abilities - You act like an owner. You roll up your sleeves, dive into the logs, and get something done yourself. - You thrive in ambiguity. You are comfortable making low-information, high-stakes decisions. You can quickly get to confidence, move on, and iterate. - You're a systems thinker. You can step back from a specific customer request and see the broader system. You build things that scale. - You're deep on the details. You care about what users experience, not just what the data says. - You know when it's good enough. You are obsessed with getting things right, but you know when you're at diminishing returns. You have a bias toward shipping. You love building — and are energized by discovery, experimentation, and rapid iteration. - You’re passionate about great data visualization. Chart sins grind your gears. Your visualizations deliver meaningful insights. You care what is says — and what it looks like — and you know those things are dependent on each other. WHAT YOU'LL DO - Own the product strategy and roadmap for RevenueCat's Analytics products. - Be obsessed with your customers. You will triage and investigate complex data and analytics problems deeply, instead of fully delegating to engineering. Dig deep to understand what developers really want — distill signal from noise and good ideas from bad ones. - Recommend, develop and maintain new benchmarks and metrics that deliver value to our developers, and help them make more money. Be the go-to person when a number looks off. - Set the vision. Create a plan that is cohesive, intentional, and impactful. Break that down into meaningful chunks on a reasonable timeline. - Get it done. Collaborate closely with engineering, data science, and GTM teams to bring robust analytics and experimentation tools to market. This job can not be done alone, and will require deep understanding of the individual products and the infrastructure that hooks them together. The salary for this role is $230,000 USD. You can view our full Compensation Philosophy here https://www.notion.so/revenuecat/RevenueCat-Compensation-Philosophy-82b57cae23ab4c9bb62dfe4e933d32d0 for additional details. In the first month, you'll: - Get to know the product, customers, and team - Contribute to shipping a meaningful feature to thousands of developers - Be ramped up on ongoing projects in your teams Within the first 3 months, you'll: - Have formed a strong working relationship with your engineering manager and design counterpart - Have taken ownership of the roadmap and prioritization for your team (jointly with the engineering manager) - Work with your engineering manager and leadership to define quarterly objectives for your teams - Have shipped the first bigger feature end to end - Work with your team to discover opportunities and solutions to deliver value to our customers - Play an integral role in your team’s discovery and delivery processes - Understand the fundamentals of our tech stack and its complexities, and drive the evaluation feasibility/value tradeoffs in collaboration with your teams Within the first 6 months, you'll: - Have helped your team grow and become a high-performing, engaged team in line with our company values - Effectively collaborate with internal stakeholders of all levels - Be an expert of your areas of the product and the related customer needs, and instill customer empathy in your teams - Independently drive all product-related decisions in your area - Have contributed meaningfully to our knowledge of our customers and their needs, our industry, and important trends - Develop a longer term vision for your area of the product in line with the product strategy - Work with your teams to improve processes and interfaces with other teams Within the first 12 months, you'll: - Be ready to kill something you have shipped if we learned it didn't deliver the value we hoped - Explore completely new opportunities for how RevenueCat may provide greater value to our customers - Make meaningful contributions to our overall product strategy - Have delivered a material, business-impacting new benefit to our customers in your product area WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: Network Engineer / Sr. Network Engineer Nebius is an AI-centric purpose-built for intensive GPU using company. As our global footprint accelerates toward multiple gigawatts of capacity, we are establishing our regional network engineering presence in the Asia-Pacific region. We are looking for a hands-on, high-autonomy Network Engineer / Senior Network Engineer to drive the build-out, connectivity, and continuous production operations of our regional data centers, PoPs, and transport fabrics across APAC, with connectivity to EU/the US region and IP transit/PNI services. In this role, you will be the boots-on-the-ground technical authority in the region. You will bridge low-level physical bringing-up with modern CLOS fabrics, collaborating closely with our core engineering teams in the EU (Amsterdam HQ) and the US within a global follow-the-sun operational model. This position is fully remote within the APAC region (preferred hubs: Singapore, India), with periodic domestic/regional site visits and occasional sync trips to our engineering headquarters in Amsterdam. Your Responsibilities Will Include: End-to-End Infrastructure Ownership: Take complete operational and deployment ownership of the network stack across APAC sites—ranging from Day-0 Out-of-Band (OOB) part of network as seed , console setups, and management L2 switches to high-scale leaf-spine frontend fabrics (EVPN/VXLAN) 400g/800g/1,6T ready and regional DCI/Backbone boundaries (BGP/MPLS/SRv6). High-Autonomy Site Bring-up & Operations: Act independently to triage, debug, and deliver connectivity in fast-moving, greenfield colocation environments. Make sound architectural and operational calls on short notice when counter parts oversight is offline. Global Collaboration & Follow-the-Sun Alignment: Partner tightly with core architecture, backbone, and platform teams in the EU and US. Own regional operational handoffs, participate in global on-call rotations, and conduct changes in coordinated regional maintenance windows. Team Scaling & Knowledge Offloading: As the APAC team expands, actively onboard new engineers, write rigorous runbooks, and offload operational pipelines to incoming peers to keep the team scalable. Dynamic Execution: Operate effectively in a high-velocity environment where quarterly business priorities, cluster locations, and deployment schedules adjust dynamically to customer demand. We Expect You to Have: Proven Production Routing & Switching Depth: Solid hands-on experience operating Service Provider or Scale Data Center networks. Deep working knowledge of BGP, IS-IS (or OSPF), EVPN/VXLAN, SR-MPLS/SRv6, ECMP load balancing, and L3VPN architectures. CLOS Fabric & L2–L4 Diagnostics: Strong diagnostic instincts in multi-tier Clos fabrics. Practical mastery of TCP/IP, IPv4/IPv6 dual-stack environments, packet analysis (tcpdump, Wireshark), interface error rates, and QoS queue behavior. Full-Stack Network Mindset: Comfort with the entire operational pipeline: you are equally willing to console into an unconfigured management switch/OOB router at an unpolished greenfield site and tune BGP policy on multi-terabit edge borders (Juniper preferred, or relevant cisco/nokia). Vendor Agility: Practical configuration and troubleshooting experience across modern network operating systems (Juniper Junos, Cisco IOS-XR, Arista EOS, or NVIDIA/Cumulus). Startup Agility & Timezone Flexibility: Proven ability to self-direct, prioritize backlogs under ambiguous requirements, and maintain effective working overlap with European (CEST) and US (EST/PST) teams when critical milestones hit. Communication: Professional working proficiency in English, with the ability to document complex systems clearly and communicate concisely under Sev-1 pressure. It Will Be an Added Bonus If You Have: Practical scripting and network programmability skills (Python or Go, Git, NetBox, telemetry pipelines). Practical exposure to high-performance AI networking: RoCEv2 (PFC, ECN/DCQCN, MCR) fabrics. Experience interfacing directly with regional APAC telecom carriers, dark fiber providers, subsea consortiums, and local Internet Exchanges (e.g., Equinix IX, JPIX, SGIX). Familiarity with Linux networking fundamentals, bridge-domains, and host-routed container networking (BGP-to-the-host). Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Who We Are Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Senior Software Engineer, Proactive Security to join our London (Hybrid) team. In this role, you will be a part of our inclusive, collaborative global team responsible for enabling proactive security outcomes with “security paved paths” to ensure a safe, reliable and resilient delivery network. Get to know our Proactive Security Engineering team — what drives us, how we work, and what you can expect. About the Team At Deliveroo we’re striving to build London’s best and most admired Security Engineering organisation as part of our global team based across North America and Europe. Our London based Security Engineering team is looking for a Software Engineer to lead the design, development and operation of security services within Deliveroo’s Product and Cloud Security domains. You will be a part of our inclusive, collaborative global team responsible for building “ security paved paths ” to ensure a safe, reliable and resilient delivery network. This is a London based position reporting directly to the European Senior Manager of our Security Engineering team based in London. What You’ll Need to Thrive Build and maintain core security products, including but not limited to Remote Access Management, Secrets Management, Tokenization, Encryption and Knowledge Graphs, Access Control at global scale. Partner cross-functionally with Core Infrastructure, Product Engineering, Legal, Security teams and Vendor Partners to build “paved paths” that provide actionable feedback to embed secure design practices into the product and infrastructure development process. Lead the technical direction and roadmap for your assigned area of ownership. Build and maintain high Operational Excellence (OE) to ensure we operate T0 services with excellence, rigor and durable standards to ensure minimal to no downtime. Participate in on-call rotation and promptly respond to on-call events with urgency and rigor. Manage the lifecycle of security product feature requests and improvements full life-cycle from triage, validation, design, testing, and implementation. Influence and drive improvements to engineering standards, leverage advancements and LLMs to improve productivity and velocity. Mentor and coach earlier career engineers, setting and enforcing high standards for Operational Excellence and Software Engineering. Requirements Able to demonstrate a track record of driving improvements to a company’s infrastructure security posture. Breadth of technical experience across various infrastructure and security areas running in large production environments. Highly skilled in distributed systems and platforms development using program languages such as Java/Scala/Kotlin, Golang, or Python. Strong experience with infrastructure as a code tooling like Terraform. Expertise with cloud infrastructure and management in AWS. Experience solving complex, systemic issues that require creative thinking and solutions. Exceptional analytical and investigative abilities with hands-on experience leading root cause analysis. Excellent verbal and written communication skills to review design documents with respect to cloud infrastructure, security and engineering personnel. Must be comfortable regularly exercising discretion and independent judgment in performing job duties, including evaluating options, making informed decisions, and determining appropriate courses of action within the scope of assigned responsibilities with minimal oversight. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, ship fast, leaning into AI, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership. Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders high standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create competitive salary and DoorDash RSUs, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog. We aim to create a fair process that lets your skills shine—our interview typically includes 5-6 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! #LI-SW1 Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Paris; San Francisco ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Mistral AI is building a new Compute Support team to ensure the reliability, performance, and scalability of our GPU clusters in a Kubernetes environment. As one of the founding members of this team, you will play a pivotal role in shaping its processes, standards, and culture. In this hybrid L1/L2 support role, you will be the first point of contact for customers and internal teams, providing technical guidance, troubleshooting, and issue resolution for compute-related inquiries. You’ll also serve as the escalation point for complex issues, leveraging your deep systems knowledge, Kubernetes expertise, and operational debugging skills to ensure our AI workloads run smoothly at scale. This is a support-focused role that blends system administration, customer-facing communication, and compute infrastructure expertise. While coding is not the primary focus, familiarity with Go for debugging and automation is a plus.     KEY RESPONSIBILITIES FIRST CUSTOMER’S POINT OF CONTACT - Act as the first interlocutor for customers and internal teams, providing timely and effective responses to compute-related inquiries. - Triage and prioritize incoming requests, ensuring SLAs are met for acknowledgment, first response, and resolution. - Gather and analyze initial issue details (e.g., logs, error messages, system metrics) to diagnose problems efficiently. - Provide clear, actionable guidance to customers and internal users, including temporary workarounds where applicable.     TECHNICAL SUPPORT - Serve as the L2 escalation point for Linux, Kubernetes, and compute infrastructure issues, providing deep technical troubleshooting for: - GPU/TPU workloads (e.g., CUDA errors, memory leaks, job failures). - Kubernetes clusters (e.g., pod crashes, node failures, networking misconfigurations). - Bare metal and cloud environments (e.g., AWS EC2, GCP VMs, HPC clusters). - Diagnose and resolve performance bottlenecks, hardware failures, and resource contention in distributed systems. - Analyze system metrics, logs, and traces (e.g., dmesg, journalctl, nvidia-smi, Prometheus, Grafana) to identify root causes of issues. - Participate in on-call rotations to provide 24/7 support for critical compute systems - Nice to have: Optimize system configurations (e.g., kernel parameters, filesystem tuning, network settings) for high-performance computing (HPC) and AI workloads.     KUBERNETES & CONTAINERIZATION - Debug Kubernetes clusters with a focus on: - Pod and node issues (e.g., CrashLoopBackOff, OOMKilled, ImagePullBackOff). - Networking and storage (e.g., CNI plugins, PersistentVolumes, StorageClasses). - Resource management (e.g., Requests/Limits, QOS classes, node affinity). - Troubleshoot container runtime issues (Docker, containerd) such as image pull failures, OCI compliance, or runtime errors. - Collaborate with SRE teams to understand and improve existing IaC (Terraform, Ansible) and Go-based tooling.     DOCUMENTATION & PROCESS IMPROVEMENT - Create and maintain runbooks, playbooks, and internal documentation for common compute issues (e.g., GPU debugging, Kubernetes troubleshooting). - Contribute to post-mortems with actionable follow-ups to prevent recurring incidents. - Train internal teams on best practices for compute infrastructure and debugging. - Help define and refine support processes as a founding member of the new Compute Support team. What We’re Looking For REQUIRED SKILLS & EXPERIENCE - 5+ years of experience in system administration, technical support, or infrastructure operations, with a strong focus on compute-heavy environments (bare metal, cloud, HPC, or virtualization). - Deep Linux/Unix expertise: - Debugging kernel-level issues (e.g., OOM killer, I/O bottlenecks, CPU throttling). - Performance tuning (e.g., sysctl, ulimit, filesystem optimizations). - Networking troubleshooting (e.g., iptables, tcpdump, DNS, NFS, SSH). - Storage management (e.g., LVM, RAID, NVMe, GPU-local storage). - Hands-on Kubernetes experience is mandatory: - Debugging pods, nodes, and clusters (e.g., kubectl describe, kubectl logs, crictl). - Networking and storage (e.g., CNI plugins, PersistentVolumes). - Resource management (e.g., Requests/Limits, QOS classes). - Familiarity with containerization (Docker, containerd) and basic IaC awareness Proficiency with monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry). - Basic scripting/automation skills (preferably Go, but Bash or Python are acceptable for ad-hoc tasks). - Experience with bare metal, virtualization, or HPC environments (e.g., Fluidstack, Coreweave, Vast) is a strong plus. - Excellent problem-solving and communication skills, with the ability to explain technical issues clearly and patiently to both technical and non-technical stakeholders. - Customer-focused mindset with a passion for resolving issues efficiently and improving system reliability. - Ability to work in on-call rotations and handle high-pressure situations with a structured, calm approach. - Commitment to meeting tight SLAs for issue acknowledgment, triage, and first response. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.