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Location: Brisbane, Australia Freelance Customer Experience evaluation opportunities across premium and luxury sectors. Join CXG, a global leader in Customer Experience, and take part in evaluating real customer journeys for the world’s leading premium and luxury brands. We help brands enhance their customer experience through structured evaluations based on real interactions across physical and digital touchpoints. As part of the expansion of our freelance network, we are looking for reliable, detail-oriented individuals to conduct Customer Experience evaluations in Australia. This is a freelance, project-based opportunity. Assignments are compensated, clearly structured, and offered based on your location and availability. The Role As a Freelance Customer Experience Evaluator, you will assess real customer journeys and provide objective, structured feedback through our digital platform. This opportunity is ideal for students, early-career professionals, or anyone looking for flexible, occasional freelance work. Responsibilities Select assignments based on your availability and location Visit assigned locations and evaluate the full customer experience Observe key details such as service quality, environment, and customer interactions Assess both physical and digital touchpoints, including follow-up communication Submit clear, structured, and objective feedback through short online questionnaires Selection Process Apply through this platform live.cxg.com Short screening process Access to available assignments in your area Requirements Must have a valid driving license Strong attention to detail and observational skills Ability to provide objective and structured feedback Reliable and punctual in completing assignments and reports Comfortable interacting in a retail environment Benefits Freelance, project-based collaboration Flexible schedule – choose assignments based on your availability Paid assignments (details provided per project) Opportunity to work with leading luxury brands Access to a global community of evaluators

Location: Dubai, United Arab Emirates We are looking for a skilled Safety officer to join our Mira Construction team! Work format: On-site (Project Office, Construction Site) Responsibilities: Implement HSE Policy, HSE Plan, and HSE legislation and other requirements, monitor HSE performance, and HSE targets, and suggest measures for further improvement. Liaise with Safety Manager and Contractors for the improvement & implementation of Corporate HSE Management ethics. Monitor contractors to ensure the implementation of applicable Safety measures and best practices. Review and Monitor Contractors' monthly HSE inspections/reports. Conducting monthly Safety meetings, setting the target to achieve the outstanding issues, prepare / submit the minutes to all concerned for follow-up. Review Emergency Preparedness and response, Permit to work system, HSE meetings, HSE statistics & records of the contractors according to Company requirements. Review Incident/Accident investigation reports from contractors, report & communicating the learning points, and monitor the immediate action and follow-up actions to minimise/prevent re-occurrence. Perform other responsibilities associated with this position as may be appropriate. Requirements Minimum Diploma or B.Sc. or equivalent degree in environmental/loss prevention or any relevant engineering disciplines from an accredited university. With recognised Health and Safety education, SARS card (training in UAE will be a plus) or NEBOSH/IOSH certificates. Trakhees card holder or desire to get it. At least 3+ years of construction supervision experience working as a Safety Officer. Recent experience in construction supervision. Preferably with experience the in UAE and with a driving license is an advantage. Benefits Competitive salary; Official UAE employment status; Comprehensive medical insurance coverage; Working schedule 6 days per week from Monday to Saturday and Sunday is off.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role You'll own paid acquisition at Vercel across Google, Meta, LinkedIn, YouTube, and emerging channels, with one goal driving the work: scalable, profitable customer acquisition for our self-serve and enterprise motions. This role is built for an analytical, AI-native growth marketer who cares about results, testing velocity, and scale. We want someone who has already wired AI into how they work, building agents, automations, and workflows that let them operate like a much larger team. You'll bring operational rigor to how we launch and scale campaigns, own the systems that make us faster, and turn our acquisition engine into a compounding growth loop. The work sits between strategy and execution, in close partnership with Product Marketing, Lifecycle, Creative, Data, and Marketing Operations, so the right message reaches the right developer or buyer in the right channel. What you'll do Paid acquisition end to end across Google Search and YouTube, Meta, LinkedIn, and emerging channels, driving signups, activations, and pipeline Multi-million-dollar annual paid media spend, where you beat ROAS and CAC targets and lower CAC over time AI-driven operating leverage, building agents, automations, and AI-assisted workflows that compress campaign turnaround and scale creative production Creative and audience testing, where you systematically find (and sometimes design) winning creative and audience segments, using AI to generate and iterate variants at high velocity Measurement and attribution, building funnel reports and cohort analyses with Analytics, and owning event-based tracking, pixels, and conversion APIs so the data stays clean Performance reporting, where you surface actionable insights and clear recommendations to leadership on a regular cadence Cross-functional alignment with Product Marketing, Demand Generation, Lifecycle, Creative, and Marketing Operations on targeting, messaging, and down-funnel conversion What you need 5+ years running and scaling paid performance campaigns at high-growth B2B SaaS, developer tools, or consumer tech companies Demonstrated AI-native habits, where you reach for AI by default and have built agents, automations, or workflows that changed how you operate (if you've automated parts of your own job, that's a strong signal) Hands-on expertise with Meta Ads, Google Search and YouTube, and LinkedIn Ads, with TikTok Ads or programmatic as a bonus A track record managing $1M to $5M+ in annual paid media budgets and beating ROAS and CAC goals Fluency in data and analytics, storytelling with campaign data, and testing and evaluating audience performance Strong copywriting instincts and taste in performance creative, and ability to scale taste with AI Clear written and verbal communication that lands with both technical developers and enterprise buyers A bias for action - you can just ship things. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $150,000 - $188,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote-US Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. The opportunity We're looking for a Developer Advocate who is a trusted presence in developer communities. This role is about showing up where developers already spend time, contributing real value, and building long-term trust. If people already listen to you because you're smart, practical, and credible, this role may be a great fit. What You'll Do Content creation and editorial Create content that developers and analysts actually want: practical tutorials, clear explanations, honest opinions, and demos grounded in real use cases as blog posts, videos, talks, and whatever formats fit the moment Act as an editor and curator for internal engineers, guest contributors, marketing colleagues and other advocates: validate technical claims, test code snippets, and edit drafts to ensure high editorial & technical standards Produce video content (screencasts, shorts, explainers) that expands Metabase's educational reach and complements written tutorials Build and maintain demo projects, sample workflows, and integrations that showcase Metabase's capabilities in practical, real-world scenarios Community building Develop and execute plans to build, enable, and nurture Metabase's developer community — through events, meetups, livestreams, courses, social media, partnerships, and whatever formats fit the moment Show up and be genuinely helpful in the places developers spend time — Slack communities, forums, Reddit, Discord, YouTube, Twitch, social platforms, and wherever the conversation is actually happening Build real relationships with developers, community leaders, contributors, and power users Represent Metabase at events, conferences, and meetups as a credible practitioner, not a booth rep Feedback and measurement Bring what you're hearing back to the people building the product: friction points, workarounds, complaints, praise, and feature requests that only surface in honest community conversations Represent the community's needs internally — synthesizing feedback and sharing learnings with engineering, product, and marketing teams in a way that's actionable, not just anecdotal Track and monitor community health and content performance metrics, assess how well initiatives are achieving their goals, and adjust effort accordingly What We're Looking For You've worked with data: you're comfortable with SQL, databases, metrics, and analytics workflows, and you can talk about them in a way that earns respect from working developers and analysts You have experience building community across some combination of: Twitter/X, YouTube, Twitch, Discord, blogs, meetups, public speaking, and live events Your communication style is clear, direct, and human You identify as a teacher and a learner, a builder and a doer You're empathetic, inclusive, and warm, and you get a buzz from helping people — whether that's a beginner stuck on their first query or a senior engineer pushing the limits of what Metabase can do You have good judgment about when to speak, when to listen, and when to stay out of it entirely You can create content independently: you don't need a brief, a brand guide, or editorial approval to ship something good Bonus: you've contributed to or built on top of open source projects Bonus: experience with embedded analytics, BI tooling, or the modern data stack What success looks like Developers recognize your name and trust your input The conversations you're part of are useful and human, not transactional Internal teams gain real, actionable insight from what you're hearing in the community The content and demos you produce become genuine resources people share and return to Metabase earns credibility in places we never had to pay to be Why this role matters Developers are good at spotting marketing from a mile away. This role exists to earn respect the hard way: by being present, being helpful, and knowing what you're talking about. If that's already how you operate, we'd love to talk. If there's anything more you'd like to tell us about yourself or your interests, use the "additional information" section on the application page. We're real humans reading applications and we love to hear what you have to say. Compensation The US base salary range for this role is $135K–$190K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Principal Statistician to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes. We are seeking a highly skilled Principal Statistician to lead statistical activities for clinical trials. This role requires hands-on statistical expertise, strong communication skills, and the ability to independently lead projects while collaborating closely with cross-functional teams. Join our team: you can be part of making a difference in peoples' lives and experience a fulfilling and rewarding career! Key Responsibilities Lead and provide statistical support for clinical studies, primarily within Immunology or any therapeutic areas Act as the lead statistician on assigned studies, overseeing statistical strategy and deliverables Author and review key statistical documents, including: Statistical Analysis Plans (SAPs) Analysis Database Specifications (ADS) Statistical sections of clinical study reports Review and interpret analysis outputs, ensuring accuracy, quality, and regulatory compliance Collaborate with cross-functional teams including Clinical, Programming, Data Management, and Regulatory Provide guidance and oversight to statistical programmers as needed Communicate statistical concepts, results, and risks clearly to both technical and non-technical stakeholders Ensure adherence to regulatory standards (FDA, ICH, GCP) and company SOPs Required Qualifications MS or PhD in Statistics, Biostatistics, or a related field Strong experience in Oncology studies Hands-on experience writing: Statistical Analysis Plans (SAPs) Analysis Database Specifications Reviewing and interpreting analysis results SAS programming skills required (hands-on or strong working knowledge) Excellent written and verbal communication skills Experience working in a CRO and/or pharmaceutical/biotech environment Preferred Qualifications Experience leading Phase II–III clinical trials Prior interaction with regulatory agencies Experience mentoring junior statisticians or programmers The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #LI-Principal #Permanent

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT US: Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. ABOUT THE ROLE: Millions of people rely on Notion to do their most important work. Protecting that trust starts with protecting the people who build Notion: our employees, their laptops, their identities, and the SaaS apps they rely on every day. We are looking for a hands-on Corporate Security Engineer to own and improve the technical controls that keep our workforce and corporate environment safe. This is a security engineering role focused on building scalable controls and automation across identity, endpoints, SaaS, and workforce infrastructure, not a traditional IT support or corporate engineering role. You'll own and evolve core security controls, design systems and automation that scale with the company, and help make security both stronger and easier to use. You'll partner closely with IT, Infrastructure, GRC, and Detection & Response to improve the security foundations that employees rely on every day. WHAT YOU'LL ACHIEVE: - Harden our identity and access management stack, including Okta and Google Workspace, with phishing-resistant MFA, strong SSO and SCIM lifecycles, and least-privilege access across SaaS. - Run our endpoint security program across a macOS-first fleet, including MDM, EDR, and configuration baselines, with working coverage for Windows and ChromeOS. - Secure AI tool usage at the endpoint, including governance of large language models, AI agents, and model context protocol (MCP) integrations; detect and prevent unauthorized or risky AI service access and data exfiltration through AI-enabled tools. - Reduce SaaS risk at scale through SSPM tooling and custom automation, including detection of risky OAuth grants, excessive permissions, shadow IT, and configuration drift. - Write code (Python, Terraform) to automate access reviews, onboarding and offboarding, configuration drift detection, and audit evidence collection. - Partner with Detection & Response to ensure corporate systems produce the telemetry needed to detect identity, endpoint, and SaaS abuse. - Support SOC 2, ISO 27001, and customer audits as a byproduct of good engineering, not a separate workstream. - Partner with Detection & Response on investigation and response for corporate security incidents, including phishing, account compromise, lost devices, and BEC. SKILLS YOU NEED TO BRING: - Have 5+ years of hands-on experience in corporate security, enterprise security, or IT security engineering at a cloud-native company. - Have working knowledge of a major identity provider (Okta, Entra, or Google Workspace) and the underlying protocols (SAML, OIDC, OAuth 2.0, SCIM). - Have hands-on experience operating endpoint management and detection tooling across macOS and enterprise environments. - Write production-quality scripts and automation in Python or Bash, and have shipped Terraform or other infrastructure-as-code for security configuration. - Are familiar with SaaS security risks (OAuth governance, audit logging, SSPM) and the realities of integrating a long tail of vendors. - Have working knowledge of at least one major cloud platform (AWS, GCP, or Azure) at the security configuration level. - Communicate clearly in writing and work effectively across IT, Engineering, Legal, People, and GRC. NICE TO HAVES: - Experience at a fast-growing tech or AI company where the security program had to outpace headcount. - A background in IT engineering, SRE, or production engineering that transitioned into security engineering. - Experience building internal security tooling or workflows that improved employee or developer experience. - Contributions to the security community through open-source tools, blog posts, or conference talks. We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $200,000 - $220,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking an experienced software engineer to build the platform behind governance, risk, and compliance (GRC) at Anthropic. Compliance information lives across dozens of systems, from cloud infrastructure and identity providers to HR platforms and code repositories. You'll build the pipelines, integrations, and services that bring that data together and turn it into automated checks, real-time dashboards, and evidence for real time decision making, compliance obligations, and to support expanding the markets we can serve. You will be an early member of the team, collaborating with stakeholders across Security, IT, Engineering, Privacy Engineering, Legal, Finance, and more to turn manual compliance processes into scalable, reliable systems. You will lead your own projects end to end, and you will put Claude to work as an extension of the team through agentic workflows for evidence collection, analysis, and continuous monitoring. If you've built internal platforms, data pipelines, or privacy systems, you'll feel right at home, and you don't need a compliance background to get started. Key responsibilities Design and build data pipelines that aggregate risk, control, and asset information from across Anthropic's technology stack, solving hard integration problems like disparate schemas, inconsistent data quality, and unified views of posture Build and maintain integrations connecting our platform to cloud infrastructure, identity management, HRIS, ticketing, version control, and CI/CD systems to enable automated evidence collection and continuous validation Translate written policies and regulatory requirements into policy-as-code, turning static documents and spreadsheets into enforceable rules, automated checks, and continuous monitoring Design and deploy agentic workflows where Claude handles work that previously required manual effort, such as analyzing evidence, generating audit responses, and monitoring control effectiveness Develop dashboards and reporting that provide real-time visibility into risk and compliance posture for audiences ranging from engineers to executives and external auditors Make architectural decisions that shape how the platform grows, establishing patterns and tooling that other engineers will build on Partner with Security, IT, Infrastructure, and product engineering teams to make controls and evidence collection native to how Anthropic builds and ships Operate what you build, owning reliability and data integrity for systems that audits and executive reporting depend on Minimum qualifications Have 8+ years of experience building backend systems, data pipelines, or internal platforms that other teams depend on, ideally operating at tech lead level Are a systems thinker who understands how data flows between systems, where the integration points are, and what breaks when systems don't talk to each other Have depth in either integration engineering (REST APIs, webhooks, authentication flows, event-driven architectures) or data infrastructure (warehousing, ELT/ETL, orchestration), and fluency in the other Are proficient in Python, Go, or similar languages, and have production experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code Hold a high bar for data quality and reliability, and enjoy turning ambiguous, manual processes into simple, reliable automated systems Take full ownership of your work, from design through deployment and operations, and can navigate ambiguity and make sound technical decisions independently Take a product-focused approach to platform work and care about building tools internal customers love to use Are excited to build with LLMs as system components, designing agentic workflows, evaluating their outputs, and making them reliable enough for high-stakes use Preferred qualifications Experience in domains where engineering meets regulation, such as privacy engineering, data governance, fintech, healthcare, or trust and safety Experience designing and shipping LLM-based or agentic automation in production or operational contexts Familiarity with compliance frameworks (SOC 2, ISO 27001, HIPAA, FedRAMP) or GRC platforms (ServiceNow, Vanta, Drata, OneTrust); this is helpful but not required Prior experience at high-growth startups, building processes and systems that scale 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function through automation and AI-native platforms to enable decision making. The systems we assess span Anthropic’s full security landscape, from authorization primitives to cryptographic foundations, so the team needs breadth across domains and the ability to go deep in any of them. Security Risk, in deep partnership with Security Engineering, will help define the security program to shape how both engineers and non-engineers build and ship software. The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions and the mandate to build the AI-native platform underneath. You’ll work across a breadth of areas from identity and secrets management to infrastructure security, with your focus shaped by your strengths, ability to learn quickly, and the team’s priorities. This is largely greenfield work, and you will help define the architecture and discipline. Key responsibilities Take ownership of Anthropic’s most complex security risk problems and drive them end to end with minimal oversight, turning ambiguous signals into a defensible view of severity and likelihood and seeing them through escalation, treatment decisions, and remediation Build the systems that make risk measurable and let risk work scale, including quantification tooling, automated intake and triage, and the observability that partner teams use to understand their own risk posture Work alongside Security Engineering as a calibrated technical peer who pressure tests architectures and treatment plans, translates findings into prioritized remediation roadmaps, and makes the investment case for what to fix now, what to accept and track, and what to defer Mentor engineers and risk practitioners across Security and the broader engineering organization, and help build a risk engineering culture in which teams own their risks and our team provides the visibility and judgment that supports the Security risk engineering Work across the breadth of Anthropic’s security landscape, spanning areas like identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, and build the context needed to reason about risk credibly in each Go deep where a risk demands it, understanding how these systems are built and how they fail so that assessments and treatment plans reflect engineering reality rather than abstraction Risk assessment and quantification Identify systematic risks through threat modeling and structured assessment, then drive the severity calibration and escalation conversations that follow, bringing leadership a defensible position and a clear recommendation that holds up under pointed questions Contribute to the team’s quantitative risk work, applying methods such as calibrated estimation and Monte Carlo simulation where they meaningfully change a resource or treatment decision Risk platform and automation Design and build AI-native risk tooling that uses Claude to classify incoming risks, augment triage, and continuously sense changes in our risk landscape as teams ship Create the dashboards and data pipelines that give engineering and product teams real-time visibility into their risk posture and make distributed ownership of risk practical Remediation strategy and investment Partner with Security Engineering and risk owners to design remediation roadmaps that are explicit about sequencing, ownership, and the investment required Measure outcomes rather than activity, focusing on decisions made and risk reduced Minimum qualifications At least 8 years of software engineering or security engineering experience, including leading and remediating complex security risks independently Bachelor’s degree in a related field or equivalent experience Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++ Broad knowledge across the core security engineering domains, with depth in at least one, including identity and secrets management, developer security and supply chain, infrastructure and cloud security, and secure frameworks Calibrated risk judgment, meaning you can put a defensible severity and likelihood on an ambiguous problem and change your position when the evidence changes Experience leading cross-functional security initiatives and navigating complex organizational dynamics Outstanding communication skills, translating technical concepts effectively across all levels of the organization A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams Passion for AI safety and the role security and risk management play in building trustworthy AI systems Preferred qualifications Owned a named security risk and driven it from discovery through remediation across multiple teams Briefed executives on risk decisions and defended accept, remediate, or transfer recommendations under challenge Built security automation, detection, or risk platforms adopted across an engineering organization Shipped LLM or agent-powered tooling and workflows that automate security or risk activities A security engineering, detection engineering, or offensive security background with a risk-based prioritization mindset Built or operated a quantified security risk program (FAIR-style decomposition, Monte Carlo simulation, loss exceedance analysis) whose outputs changed real resource decisions Enough familiarity with SOC 2, ISO 27001, or FedRAMP to know what compliance does and does not buy you 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: mexico, Mexico Job Summary: We are looking for an experienced and client-focused Accounting Manager to join our team. The Accounting Manager will be responsible for maintaining strong client relationships, managing portfolio of accounts, and ensuring accurate and timely financial operations. This role requires strong leadership, analytical skills, and a proactive approach to driving account performance and revenue growth. Key Responsibilities: Client Relationship Management Build and maintain long-term relationships with clients through consistent communication and support. Serve as the primary point of contact for all client-related concerns, escalations, and conflict resolution. Ensure client satisfaction by delivering timely and effective solutions. Sales and Financial Oversight Oversee the sales process, including contract renewals, invoicing, and billing accuracy. Review and approve account transactions to ensure compliance with company policies and financial standards. Monitor account performance to identify trends and areas for improvement. Team Supervision and Coordination Collaborate with the internal operations team to supervise staff assigned to accounts under your management. Provide guidance and support to ensure team members meet or exceed performance targets. Facilitate communication between clients and internal departments to maintain smooth account operations. Growth and Revenue Generation Identify new sales opportunities within existing accounts to drive revenue growth. Develop strategies for account expansion and retention. Reporting and Analysis Prepare and present regular account performance reports and financial updates to senior management. Analyze account metrics and sales performance, recommending improvements as needed. Qualifications: Bachelor’s degree in Accounting, Finance, Business Administration, or a related field. Proven experience in account management, client servicing, or financial oversight. Strong leadership and interpersonal skills. Excellent communication, conflict resolution, and problem-solving abilities. High attention to detail and accuracy in financial processes. Proficiency in accounting software and Microsoft Office tools. Work Setup: REMOTE - LATAM Join Us: Become a part of our dynamic team! If you are a strong English communicator with a positive attitude, optimism, and energy, and you’re eager to make a significant impact in a growing company, we would love to hear from you. At H!KINEX, we offer not just a job, but a career path where your contributions are valued, your ideas are heard, and your growth is supported. Enjoy the flexibility of remote work, the challenge of a rewarding role, and the opportunity to work alongside industry leaders in a collaborative and innovative environment. Join us, and let's achieve success together!

Location: San Francisco; Austin; New York City Workplace: Hybrid Perplexity is seeking a highly motivated and skilled Commercial Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth across small and mid-sized organizations, converting product-led demand into committed Enterprise relationships, and building Perplexity's footprint across thousands of high-potential accounts. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to help shape Perplexity's commercial motion from the ground up. RESPONSIBILITIES - Drive new business by prospecting, pitching, and closing Perplexity Enterprise solutions with small and mid-sized organizations - Convert existing self-serve customers into Enterprise relationships, and land net-new logos through outbound, inbound, and product-led signals - Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs - Conduct high-impact product demonstrations and respond to technical inquiries across Perplexity's full product suite - Lead client engagement through the entire sales cycle, from initial presentation, technical evaluation, negotiation, to closing and onboarding - Quickly diagnose account potential, qualify in and out with discipline, and partner with Enterprise AEs when an account warrants a larger motion - Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit - Maintain up-to-date knowledge of Perplexity's platform, industry trends, and competitor landscape - Meet or exceed individual and team revenue, logo, and activity targets on a monthly and quarterly basis - Maintain accurate records of pipeline and account activity using CRM tools QUALIFICATIONS - Full-cycle SaaS sales experience with a strong track record of closing new business - Proven record of meeting or exceeding revenue targets in a high-growth environment - Skilled at running efficient sales cycles and tailoring messaging to different buyer personas and decision makers - Proven success outbound prospecting into small and mid-sized organizations - Exceptional written and verbal communication; comfortable presenting to executives and technical buyers - Adept at identifying client pain points and mapping solutions that drive business value - Ability to collaborate effectively with both cross-functional teams and technical stakeholders - Experience with CRM systems (e.g. Salesforce) - Bachelor's degree or equivalent experience

Location: Home based - EMEA; Office Based - London, UK Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Group Financial Controller . The ideal candidate has a deep passion for systems accounting, a track record of preparing finance functions for public markets and an innovative mindset that leverages technology and AI to build efficient and robust accounting workflows. The Accounting team ensures the integrity of our financial information and serves as the primary stewards of the business’ financial health. They design and operate a governance framework underpinned by robust policies, controls and systems to provide oversight and challenge to the business. The team is responsible for timely and accurate reporting and exercises judgment when necessary based on a commitment to conservative and accurate reporting, a deep understanding of accounting principles and insights into our business. We are looking for a professionally qualified accounting leader who has a deep sense of right and wrong, high integrity, and a strong sense of responsibility, understanding that the accuracy of their work is critical to the entire Company. You are a methodical, detail-oriented, and process-driven problem-solver who enjoys investigating discrepancies to find their root cause. You are resilient under pressure, particularly during month-end and year-end closes, and motivated by the goal of achieving a perfect, timely, and reliable result. Perhaps unusually we prefer a leader with deep personal interest in the software and technology industry, and some data analytics, AI and ideally software engineering experience. Location: This role is home-based in EMEA time zones, with the option to be based in our London office. It will report to our Chief Financial Officer. The role entails Ensuring strong understanding of the risks associated with our processes and systems and leading the development and implementation of controls to mitigate those risks Leading the development and identification of areas of improvement of Canonical’s policies and procedures that will enable the business to scale efficiently Driving the implementation of the Canonical’s policies and procedures and the monitoring of compliance Supporting multi-functional change projects designed to enhance systems, processes, and data accuracy Managing reviews of weekly, month-end, year-end processes from balance sheet reconciliations to management accounts and statutory accounts preparation to ensure timely and accurate reporting of financial information Ensuring accuracy and completeness of the recording and reporting of financial data and transactions to ensure that the Company maintains robust accounting records Upholding the Company’s accounting and approval processes and controls across the organization Managing external audits Developing a strong understanding of the evolving regulatory frameworks and jurisdictions in which Canonical operates and lead the assurance of Canonical’s compliance with such regulatory requirements Driving projects associated with upgrading or implementing new finance systems and sensible AI adoption in the team Developing professional relationships and manage communications with both internal and external stakeholders - customers, vendors, tax authorities and external advisers -  including resolving questions and issues confidentially and  in a timely manner Managing or mentoring junior accounting staff, sharing knowledge and promoting best practices What we are looking for in you Exceptional academic track record from both high school and university A strong academic background and professional qualification in Accounting or Finance (e.g. ACA, ACCA, CIMA, CPA, or equivalent) Extensive practical IFRS knowledge and experience Advanced Excel skills and strong data analysis capabilities Excellent attention to detail and organizational skills, with the ability to prioritize and meet tight deadlines in a fast-paced setting Confident communication and interpersonal skills, with the confidence to engage effectively with colleagues, management, customers, and external stakeholders A proactive, analytical mindset with a genuine passion for finance and a drive for continuous improvement, process efficiency and professional development Proven experience using enterprise-level accounting or ERP systems Result-oriented, with a personal drive to meet and exceed commitments Ability to travel internationally twice a year for company events up to two weeks long Nice-to-have skills Experience with NetSuite Experience with Salesforce Experience with a Big 4 Accounting Firm, or a Public company What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Munich, Germany 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 an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely 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: €205.000 — €255.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap. Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours. The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top. We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption. _______________________________________________________________________ RESPONSIBILITIES This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will: - Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams. - Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use. - Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today. - Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need. - Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics. We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs. AI-ASSISTED OPERATIONS We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include: - Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page. - Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production. - Onboarding and readiness assistants that answer the questions our experts answer today. If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work. ON-CALL Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention. _______________________________________________________________________ QUALIFICATIONS - 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability. - A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years. - Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals. - Experience setting technical direction and leading work that needs cross-team alignment. - Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups). Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams. You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context, meet partner teams, ship your first change, shadow on-call. FIRST 90 DAYS - Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production. ONE YEAR OUTLOOK - Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$238,250 – CA$382,250 base United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: One Kattameya, Cairo Workplace: onsite We are hiring a Senior Data Scientist to join our team at Klivvr. What you'll do: - Own a domain such as credit, risk, or growth end to end, setting the modeling strategy and being accountable for the systems that result. - Take on the most ambiguous, highest-stakes problems, including framing what should be built and why before any modeling begins. - Make and defend the hard technical calls, choosing the simplest approach that solves the problem rather than the most sophisticated one. - Drive models into production and own their long-term health, performance, and reliability once they're live. - Set technical direction and standards that other data scientists build on, through design reviews, shared tooling, and engineering practices. - Mentor data scientists across levels and raise the quality bar for the team's work. - Translate business strategy into a coherent data science roadmap and communicate tradeoffs clearly to leadership. To succeed in this role, you'll need to have: - 5+ years of hands-on data science or applied ML experience, with a track record of owning systems in production end to end. - Deep proficiency in Python (NumPy, pandas, scikit-learn) and SQL, and strong software engineering fundamentals. - Strong grounding in statistics, probability, and machine learning, with the judgment to know which method actually fits the problem. - Experience designing and operating large-scale ML systems on cloud platforms (AWS preferred). - A demonstrated ability to lead ambiguous, cross-functional initiatives without close guidance. - Excellent communication skills, including the ability to influence technical and business stakeholders and to make others better through your feedback.

Location: Remote (Canada); Toronto, Canada Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team   The Data Science team at Wealthsimple consists of data scientists with diverse educational backgrounds such as physics, computer science, engineering and business. The Sales Data team is responsible for supporting the entire Commercial team through data modeling, pipelining, dashboarding, experimentation, analyses, and machine learning models. Our stakeholder teams are diverse, including Financial Planners & Advisors, Business Development Representatives, Revenue Operations and Commercial Systems. We build data solutions that directly optimize the sales process, improve lead scoring and routing, boost lifecycle marketing and drive revenue growth for Wealthsimple’s core metrics.   We are looking for a Data Scientist with strong foundational skills in both data engineering and applied data science. In this role, you will act as a generalist bridging the gap between data architecture and applied science. You will take ownership of stakeholder relationships while designing, building, and maintaining robust data models and pipelines to scale our Commercial operations. In this role, you will have the opportunity to: - Design, build, and maintain accurate, reliable data pipelines and commercial data marts using modern tools like dbt and Airflow. - Balance technical execution roughly 50/50 between data engineering/pipelining and applied data science/analytics. - Optimize commercial operations by enhancing lead generation, lead routing, and sales efficiency using sparse or multi-modal data sources. - Develop, implement, and maintain metrics, dashboards, and predictive models that directly impact top-line business goals. - Manage direct relationships with business stakeholders across Sales Operations, Commercial Leadership, Revenue Operations, and Product. - Conduct exploratory analyses and design experiments (e.g., A/B testing) to test hypotheses and improve go-to-market strategies. - Collaborate closely with teammates to raise data quality standards, share knowledge, and improve core data architecture. What you bring: - 2–4 years of experience in a Data Science, Decision Science, or Analytics Engineering role. - Strong proficiency in SQL & Python, with hands-on experience building and maintaining data pipelines using tools like dbt and Airflow. - Data Engineering Aptitude: Comfortable working with data architecture, designing clean data models, and managing data pipeline flows. - Stakeholder Relationship Building: Ability to communicate technical findings, build trust, and align priorities with business stakeholders independently. - Applied Statistics & ML Foundations: Practical understanding of foundational statistical concepts, experimentation (A/B testing), and machine learning techniques applied to real-world business problems. - Comfort working with messy, sparse, or unstructured datasets to extract actionable insights about client behavior and sales processes.   WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Remote Workplace: remote At Offchain, we aren’t just building products: we’re leading a movement.    As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.    At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.    Why Offchain?   Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.   Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.   Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.   To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly. What is the role: Offchain is looking for a VP of Marketing who can lead and inspire a high-performing marketing team, shape a distinctive market position for Offchain and its products, and turn the growing adoption of blockchain technology into a clear and compelling narrative. This leader will own marketing across brand, communications, product marketing, content, social, partner marketing, demand generation, and marketing operations. They will set a high bar for the function, bring energy and clarity to the team, and help build the commercial infrastructure required to connect marketing activity to business outcomes. We are looking for a vigilant, hands-on operator. Someone who sees the market moving, spots the story before it’s obvious, writes and edits with precision, and turns strategy into shipped work quickly. This person should be as comfortable shaping a founder keynote or editorial thesis as they are reviewing launch copy, assessing funnel performance, coaching a team member, or pushing a cross-functional project over the line. The right candidate has led and inspired high-performing marketing teams in a high-growth technology environment. They know how to build a brand and narrative that cuts through, develop exceptional talent, and create a measurable growth engine. They understand crypto or are deeply motivated to learn it. The work must be technically grounded, human in delivery, and anchored in clear business outcomes for the customer segments we serve. What you'll do: Marketing leadership and team building Lead and inspire the marketing function across brand, product marketing, communications, content, social, partnerships, campaigns, and creative. Set an ambitious vision for marketing and create the energy, clarity, and momentum required to bring the team with you. Build a high-performing culture that values speed, creativity, ownership, and exceptionally high standards. Manage and develop a team across multiple workstreams while remaining close enough to the work to improve it directly. Build the team thoughtfully, knowing when to hire, when to level up existing contributors, and how to create role clarity without slowing execution. Establish clear priorities, OKRs, operating rhythms, and feedback loops that enable fast execution and strong cross-functional alignment. Brand, communications, and executive thought leadership Define and strengthen the market position of Offchain and its products, building brands that are distinctive, credible, and relevant to the audiences we serve. Establish Offchain and its products as credible voices in the evolution of programmable markets, tokenization, financial infrastructure, and blockchain adoption. Develop a clear narrative architecture that connects company, product, and ecosystem stories while giving individual products room to build distinct identities. Partner with founders, executives, PR, product, BD, and ecosystem teams to develop high-quality communications across earned, owned, and partner channels. Guide founder and executive storytelling across keynotes, op-eds, interviews, panels, social, and strategic announcements. Build a stronger editorial engine, including essays, reports, partner stories, market commentary, launch narratives, and recurring content franchises. Ensure external communications are precise, differentiated, defensible, and grounded in real product value. Demand generation, marketing infrastructure, and revenue impact Build the marketing capabilities required to translate awareness and engagement into qualified demand, customer adoption, ecosystem growth, and commercial outcomes. Partner closely with Business Development to understand the evolving needs of customers and identify the marketing materials, programs, and campaigns needed to move opportunities forward. Establish the measurement and attribution infrastructure required to understand how campaigns, content, events, partnerships, web activity, product engagement, and executive channels contribute to enterprise pipeline, customer adoption, monetizable activity, and revenue. Understand which marketing programs influence conversion and where investment should increase, decrease, or shift. Build dashboards and reporting rhythms that make marketing performance visible to leadership and actionable for the team. Develop a disciplined experimentation framework for identifying and scaling new sources of qualified demand, monetizable volume, customer adoption, and revenue. Balance near-term commercial objectives with the long-term growth and health of the Arbitrum ecosystem. Campaigns, partnerships, and market intelligence Develop and execute high-impact campaigns across owned, earned, paid, partner, and executive channels. Build partner marketing motions that make strategic launches feel larger, clearer, and more commercially relevant. Monitor market shifts, competitor moves, policy conversations, institutional adoption, developer behavior, and media narratives. Turn market intelligence into fast action: messaging updates, executive talking points, campaign ideas, social responses, partner opportunities, and content angles. Operate with urgency without sacrificing accuracy. Measurement and business impact Define how marketing success is measured across brand awareness, narrative adoption, developer engagement, partner amplification, qualified demand, enterprise pipeline, launch performance, network growth, monetizable activity, and revenue contribution. Build reporting habits that show what is working, what needs to change, and where marketing is creating measurable business impact. Guide the team in using data to improve campaigns, content, channels, audience strategy, conversion, and resource allocation. Manage budget, marketing technology, vendors, and agency relationships with discipline. What you'll need: 10 to 15+ years of marketing experience, ideally across high-growth technology, fintech, infrastructure, developer platforms, crypto, or enterprise software. 5+ years leading multidisciplinary marketing teams across brand, product marketing, communications, content, campaigns, demand generation, or go-to-market. Track record of exceptional leadership, building and inspiring high-performing teams while raising the ambition and quality of the work. Experience building distinctive brands and market narratives in complex, technical, or rapidly evolving categories. Strong commercial instincts and an understanding of how marketing drives customer adoption, pipeline, and revenue. The ability to set a clear vision and strategy while staying close to execution, creative quality, and team development. Perks: Remote-first global workforce + NY office. Professional reimbursement program (facilitates industry conference attendance, certifications, and more). Medical, dental & vision coverage (US + some other countries). 401k retirement plan + company match (US only). Wellness stipend. Home office set up / ergonomic equipment program. Attention Offchain Job Seekers:   This role cannot be performed in California, or Colorado.   Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com   At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.

Location: Barcelona, Spain Workplace: hybrid Creating the payment platform shoppers love. Creating the payment platform shoppers love. We are SeQura, a modern, innovative and ambitious fintech company based in sunny Barcelona, born in 2013 with a single goal in mind: To be the preferred payment platform that helps people buy things they love paying in an instant, transparent, flexible and fairway. Today we have more than 4.000 merchants and offer all payment methods; “Pay Now”, “Buy Now Pay Later” or “Divide in 3”. A strong focus to generate a state-of-the-art experience for the consumers has led the company to an NPS rating of 88 by its more than 1 million Shoppers. This year we have an amazing opportunity, we are opening new markets such as Southern Europe and Latin America and that is why We Are Hiring, our high-performance team has almost 200 people. We enjoy working in a healthy culture that pursues a good balance between personal and professional life and encourages us to keep growing. Join our team, improve the world with us, collaborate with people's wellness, it's a challenging journey! Are you looking for an amazing opportunity? Keep reading... The Opportunity We are currently seeking a full-time Analyst, Structured Finance & Automation to join our Corporate Finance team — an early-career role sitting at the intersection of structured finance and AI-driven automation. This is a hands-on, execution-focused position ideal for someone in the first years of their career who is eager to learn the mechanics of structured finance while actively building the automated, AI-powered infrastructure that runs it. Reporting directly to the Head of Corporate Finance, you will own both the analytical rigour of our funding facilities and the automation mandate that is reshaping how we operate them. Day to day, you will support the full execution cycle across SeQura’s funding facilities — transfer of receivables, rebate and concentration-limit monitoring, financial reporting and compliance with facility documents — while actively building the automated workflows that make those processes faster, more reliable and easier to audit. Working closely with senior colleagues, you will contribute to financial modelling for new business lines, help build and review reporting, and validate that every receivable is correctly recognised. What sets this role apart is its AI mandate. We are looking for someone with a genuine eagerness to automate — getting hands-on with tools such as Claude, ChatGPT and other AI platforms to build automated workflows for controls, reconciliation and reporting, with guidance and support from the wider team on the more complex work. This is your place if you are proactive, hands-on, fluent with data, and excited to help build the automated, AI-driven backbone of a fast-growing fintech. If you are early in your career — including in consulting, advisory or audit — and want to move from advising on the numbers to working with them directly, you will feel right at home. What we are looking for • Dynamic and adaptable candidate who thrives in a fast-paced environment and suggests new ideas • Proactive thinker with a natural ability to communicate effectively with colleagues and clients • Openness to change and ability to easily adjust to shifting priorities and new challenges • Strong communicator and skilled listener who responds to the needs of others • Creative problem-solver who continuously looks for ways to improve processes and procedures • Comfortable working in a team environment and collaborates effectively with colleagues from different departments • Critical and analytical thinker who conveys ideas clearly and persuasively • Confident and assertive, yet empathetic and able to build strong relationships with clients and colleagues • Able to manage multiple projects and priorities simultaneously while maintaining high quality and attention to detail • Flexible and adaptable, thriving in an ever-changing business environment Your personal challenge In order to help our financial team to grow, you will be focusing on: Ensure data integrity across the Treasury and Facilities teams — maintaining accurate, complete and aligned data flows as the foundation that supports everything else. Support the operational and analytical execution across all of SeQura's facilities: transfer of receivables, rebate and concentration-limit monitoring, and monthly financial reporting. Help implement a single facility-management software platform — a key priority — making sure every legal agreement is faithfully tied to how the facility function actually operates, so contracts, controls and reporting all run from one source of truth. Ensure every step complies with how each facility is structured in its underlying documents, and validate that all receivables are correctly recognised and reported. Bridge contracts and code: review the facility agreements to extract the key parameters (interest rates, concentration limits, eligibility criteria) and verify that the same logic and values are correctly implemented in the production systems — so what runs in the platform always reflects what was legally agreed. Assist with financial modelling for new types of business, and help prepare recurring and ad-hoc reporting. Help coordinate with the range of stakeholders across the facilities, including lenders and potential equity investors, supporting senior colleagues on these relationships. Build AI-driven automations — using tools such as Claude, ChatGPT and similar platforms — to streamline controls, reconciliation and reporting workflows, learning and growing this skill set with support from the team. Support investor due diligence and help prepare presentations for lenders, equity investors and other counterparties. Collaborate in the preparation and development of investor and corporate-orientated materials, including quarterly earnings releases, investor presentations, Q&A, and other associated materials. Document processes and map workflows as you go — building a strong, traceable record of how the facility function operates to lay the groundwork for solid governance and internal-audit readiness. Cluster and maintain these automations in a central, well-documented repository so they work consistently across the finance function. Performs other responsibilities associated with this position as may be appropriate. Your first 6 months We have a clear ramp-up path designed to set you up for success: • Months 1–2 — Understand the business: get deep into the facilities, the Treasury–Facilities data flows and the underlying facility documents. • Months 3–4 — Generate small automations: identify repetitive controls and reconciliation steps and start automating them with AI tools. • Months 5–6 — Automate reporting and consolidate: build out automated reports, support the rollout of a single facility-management software platform, and cluster all your automations into a working, shared repository across the finance function. Apply with us if you ● A degree in Finance, Economics, Accounting or a related field is welcome, but not required — we care more about how you think and what you can build. ● 1–2 years of experience in finance — or a strong internship track record — with a consulting, transaction advisory or audit background (Big 4 / strategy / advisory) particularly welcome, and a great early-career move for someone switching from consulting into fintech. Experience at another fintech or financial-services company is equally valued. Recent graduates with the right drive are encouraged to apply. ● Proficient in spreadsheets, databases and financial software applications. ● Knowledge of Metabase, Tableau or Power BI will be a plus. ● Exposure to securitisation, structured finance or funding facilities (transfer of receivables, concentration limits, rebates) is highly valued. ● Strong capabilities in attention to detail and the ability to work in a fast-paced environment. ● Good research, quantitative, and analytical skills. ● Strong automation skills — hands-on use of Claude, ChatGPT or any other AI tool to build real workflows, controls and reports, with a genuine drive to push automation further (scripting / Python / SQL a plus). ● Well informed in current financial subjects, accounting, tax laws, money market and business environments. ● Excellent written and verbal communication skills in English. ● Spanish and/or Portuguese would be a plus, given our growth across Southern Europe and Latin America. ● Solid financial-modelling foundations — comfortable building and working in models, with the drive to develop towards owning them. ● A strong instinct for documentation and process mapping — you naturally write things down, map how a workflow runs, and keep a traceable record that supports governance and internal-audit readiness. ● Comfortable reading legal and commercial documents (facility agreements, term sheets) and translating their terms into numbers, controls and code logic. ● Exposure to lender or investor relations — reporting, due-diligence requests and presentation preparation — is a plus. ● High ownership and intellectual rigour, with the integrity to stand behind numbers that lenders, investors and auditors will rely on. Which are the next steps? (async) Profile review Interview with People Team Assessment Interview with future Manager (async) Offer Why choose SeQura? Right now we are going through an amazing moment, we are opening new markets such as Southern Europe and LATAM, and that’s why we are looking for ambitious and passionate people who want to join our healthy culture, made up of a high-performance team of about 400 employees. In SeQura we promote an equal opportunity to all, regardless of age, colour, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation or any other characteristic. We love to have an inclusive environment, and respect is above all.