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Location: Germany; France Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role As the Account Management Lead you'll lead a team of experienced Account Managers across the Western Europe region. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business. You will: - Lead, coach, and develop a high-performing AM team, owning team and regional NRR performance, customer retention, and expansion goals. - Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices. - Lead by example in complex post-sales and renewal cycles, unblocking issues, driving adoption, and identifying expansion opportunities. - Set strategic direction for the team, aligning account manager initiatives with company goals and market trends. - Monitor and optimize delivery quality across all accounts, ensuring consistency, excellence, and predictability in customer outcomes, implementing scalable processes that improve accuracy, visibility, and operational efficiency. - Design and implement repeatable playbooks for renewals, upsells, and adoption; automate workflows and tools to scale team impact. - Own the ongoing development and optimization of best practices for Commercial and Scale playbooks, ensuring consistent execution, measurable impact, and continuous refinement as the business evolves. - Build and maintain executive-level relationships across priority accounts, serving as a strategic advisor and customer advocate in internal and external forums. - Represent the voice of the customer in leadership discussions, influencing roadmap, operations, and revenue strategies. - Partner with Europe GTM & cross functional leadership to align organizational objectives, drive cross-functional initiatives, and ensure cohesive execution across customer success, sales, and operations teams. Requirements • 10+ years of experience in account management or post-sales roles within SaaS, ideally some of this within Western Europe accounts. • Demonstrated technical acumen with the ability to upskill and enable the team — fostering confidence in navigating product capabilities, integrations, and data insights to strengthen customer outcomes. • 5+ years of direct people leadership experience — managing AMs, driving team quota, and developing talent through coaching and enablement. Passion for developing people and building a high-performance, feedback-driven culture grounded in accountability, learning, and customer impact. • Strong player-coach mindset: comfortable managing key accounts directly while leading others to excel in their own portfolios. • Demonstrated success in exceeding renewal, expansion, and NRR goals through effective customer engagement and strategic account management. • Expertise in CS methodologies and best practices (e.g. success planning, adoption frameworks, ROI storytelling, executive alignment). • Strong analytical and operational skills: adept at using data to identify performance trends, optimise workflows, and forecast outcomes. • Strong builder mindset - you thrive in building from scratch, redefining processes and playbooks, and operating with an AI-first mindset • Bonus: Hands-on with tools (Salesforce, Gong, Sigma, Pylon) and capable of improving data quality, visibility, and usage insights across the team. • Proficiency in German or French is required. This role is remote-first, so it can be executed from anywhere within Europe. If you prefer, you can work from our offices in London, Dublin or Paris. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Seoul, South Korea 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 based in Seoul, you'll drive adoption of safe, frontier AI technology across Korea's financial services industry — banks, insurers, asset managers, and fintech companies. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize operations, risk, and customer-facing functions with Anthropic's AI solutions. Key responsibilities Own and exceed revenue targets by winning new accounts and expanding relationships across Korea's FSI companies. Build and execute territory plans, identifying opportunities across retail banking, corporate/investment banking, insurance, asset management, and fintech-adjacent units Lead consultative sales processes with senior stakeholders — including heads of digital transformation, risk and compliance leaders, IT leadership, and business-line executives Navigate Korea's FSI regulatory environment, including Financial Supervisory Service (FSS) requirements, data residency, model risk, and financial-sector compliance Work with internal teams (Product, Engineering, Applied AI, Partnerships, Legal) to tailor solutions that meet financial-sector security and compliance standards Stay informed on trends shaping Korean FSI, including digital banking, AI in risk/underwriting, and regulatory shifts around AI use in finance Preferred qualifications 8+ years of enterprise sales experience in Korea, with significant exposure to financial services A genuine understanding of how Korean financial institutions make technology decisions, including the role of regulators, internal risk/compliance functions, and IT governance Direct experience navigating Financial Supervisory Service (FSS) requirements and review processes — this is required given how heavily FSS oversight shapes technology adoption in Korean FSI A track record of managing complex, multi-stakeholder sales cycles typical of FSI, including rigorous security and compliance review Proven experience exceeding revenue targets within financial services accounts Excellent communication skills in both Korean and English A passion for AI built and deployed safely What We Offer Competitive base salary and commission Equity participation Comprehensive benefits Hybrid work model Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Summary: Lead the Switchboard team, which owns the Tenant management product for Dedicated environments. This team is diverse in skills (Frontend, Backend and Reliability engineers) and owns the product end to end. The product enables self-service and workflow automations for customers and internal operators of our large scale Dedicated tenant fleet. Key Responsibilities: Lead the fullstack Switchboard team responsible for GitLab Dedicated’s customer-facing control panel, and set clear direction for how the team delivers and evolves that product. There is a strong coordination with the assigned Product Manager. Hire and develop a high-performing team  where team members can thrive and produce results with quality and speed. Partner with Technical Team Leads to provide direction and act as final decision-maker and unblocker of the team to move forward fast. Partner closely with Product and Design on the customer-facing control panel, including wireframes and UI direction for external users. Own planning with the Product Manager, including priorities, dependencies, and the quarterly delivery epic. Ensure fast, high quality and  cross-functional execution across frontend, backend, UX, product, and technical writing. Drive improvements in quality, security, and performance. Support the team’s mission of enabling GitLab Dedicated customers to manage their tenant environments while reducing manual operations on the large scale Dedicated fleet. We're looking for a technical engineering manager to lead a team building and operating large-scale distributed systems. The ideal candidate combines deep technical expertise with strong operational instincts and a passion for building high-performing teams. What you'll bring: Proven track record building and owning large-scale distributed services, with the technical depth to dive into architecture and guide the team on technical strategy Experience with fleet management products, including Terraform, Kubernetes, AWS and automated provisioning at scale (20+ clusters) Experience in driving operational excellence and you've owned services running at four-nines (99.99%) SLOs and know what it takes to keep them there Experience leveraging AI tooling to boost team productivity, with real lessons learned from both wins and missteps A history of building and managing high-performing, accountable team cultures, including managing out when necessary Comfort driving complex projects to completion without relying on a dedicated TPM Experience leading distributed and remote teams effectively How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Role Description The Risk Manager - Platform Risk reports to the Senior Manager of Risk Management and IT Compliance team within Tech Risk Operations (TRO). This is a first-line of defense risk team responsible for Central Tech business unit risks & Security risks across the company. The Risk Manager - Platform Risk is a people manager role, focused on leading a team of individuals to enable consistent identification of technology-related risks for key Central Tech business unit technology platforms. These technology platforms enable the business to build and run in-house developed applications that support the core of our Business. The Risk Manager - Platform Risk possesses both a strong technical understanding of DevOps IT technology and expertise in various risk domains. These domains include cybersecurity, IT, privacy, regulatory compliance, broader enterprise risks, Trust & Safety, cybersecurity regulatory compliance, and e-commerce fraud. This role involves identifying technology-related risks across core DevOps technology platforms, encompassing both public cloud and on-premise infrastructure. This includes (but is not limited to) public and private cloud platforms, like AWS, GCP, Azure, Kubernetes, Gitlab, CI/CD Tooling, etc. This role also requires embedding secure software development principles and tooling (SAST, DAST, SCA) into BAU development practices, to apply them effectively to DevOps technology platforms. The Risk Manager - Platform Risk is also a subject matter expert leveraging a deep understanding of the enterprise risk discipline combining deep knowledge of theory and organizational practice or expertise across several different disciplines within a function. Effective first-line risk professionals are adaptable individuals who can engage with diverse senior technical stakeholders (Senior Engineering Managers, Product Owners, developers, etc.) This necessitates strong communication skills, technical proficiency, an ability to foster collaboration, incorporate different viewpoints, and steer efforts toward positive business results in managing IT risks and ensuring IT regulatory compliance obligations are met. This position requires strong stakeholder management skills and requires an individual who can convince others who are skeptical or unwilling to accept new concepts, practices and approaches. This position involves extensive collaboration with senior technical stakeholders to ensure the consistent maintenance of existing IT controls across the organization. Success in this role requires exceptional stakeholder management skills, including the ability to build strong relationships, effectively communicate complex information, and persuasively influence individuals and teams, even when faced with resistance to necessary changes and the adoption of new security protocols. The ability to navigate organizational complexities and foster a culture of IT risk management, security awareness and compliance is critical. This role is also a people manager position and is fully responsible for managing a team of individuals and continuously improving the area under their scope. This manager will be responsible for leading and managing a team of internal and/or external resources (e.g. Risk Analysts, Risk Officers, consultants). They are comfortable leading a team to come up with robust, scalable and automated solutions that mitigate key risks while enabling successful business operations across multiple core platforms. Key Responsibilities and Duties — Attract, engage, develop, and retain talent to their full potential by fostering a supportive work environment that emphasizes continuous feedback, coaching, and mentorship programs, ensuring comprehensive growth for all crafts. — Coaching your team on and consistently role model the Booking values on Think Customer First, Own It, Learn Forever, Succeed Together, and Do the Right Thing. — Drive initiatives effectively involving multiple technical first-line senior stakeholders, re-prioritising tasks when beneficial. — Formulate and implement tactical plans and objectives within Platform Risk Management that are in alignment with Central Tech business objectives and ensure the achievement of annual goals. — Establish team priorities, delegate projects, allocate resources, and provide regular communication to management and business partners regarding business performance and project progress. — Advise first-line stakeholders with specialized knowledge and expertise in IT risk, cybersecurity and regulatory compliance risk. — Assume responsibility for the identification of technological risks and the formulation of control design proposals. — Offer guidance on control design that is sustainable and appropriately scaled, ensuring that solutions are commensurate with the complexity of the issues addressed and avoiding unnecessary overengineering. — Drive business engagement in the Central Tech business unit to provide risk and compliance awareness for teams that have a clear need to manage risks without significantly affecting their development velocity and/or play a key role towards achieving strategic objectives in the company. — Develop and maintain IT and security policies and procedures for secure software development & collaborate with development teams to integrate secure software development practices and principles into CI/CD pipelines. — Support senior stakeholders across central tech helping to promote and embed risk and compliance ownership across the business as well as to broaden and expand their knowledge base of both the internal and external risk environment. — Follow broader ERM strategy defined by R&C and implement it into execution within the first-line of defense (business) and drive continuous improvement of risk assessment methodologies through ongoing collaboration with second-line risk and controls teams, ensuring alignment with practical business objectives. — Support the team to identify ways to increase their business impact and improve the team’s product(s) and ways of working. — Liaise with other risk and audit teams (Risk and Controls, Internal Audit, external auditors, etc.) to provide a more in-depth technical risk perspective, as needed. — Stay current with emerging cyber threats and security best practices in DevOps environments. Knowledge and Skills — Strong risk and control or audit/assurance background with a deep understanding of operational and technology risk - L4 — Strong working experience with IT General Controls (ITGCs), especially in fast-paced DevOps environments — Strong understanding of technology risk management, controls, and compliance, especially for public cloud platforms and DevOps Tooling - L4 — Experience and understanding of applicable regulations such as Sarbanes Oxley, PCI-DSS, GDPR and CCPA - L4 — Familiarity with industry-standard Cybersecurity regulatory frameworks such as NIST, ISO27001 and CIS - L3 — Understanding of cybersecurity risks and data protection principles - L3 — Technical AWS certifications (AWS Certified Solutions Architect, AWS Certified Security) are a plus — Knowledge of secure software development practices and tooling (SAST, DAST, and SCA tools) — Ability to cultivate solid relationships with business partners in order to drive the adoption of the risk management culture — Thorough technical understanding of internal control requirements and design and experience in applying them in various businesses — Able to split large tasks into logical, manageable and decoupled actions which are managed effectively and delivered on time — Be flexible and agile in response to the change in business, change in stakeholder expectations and/or change in regulatory/operating environment of B.com Level of Education: Bachelor/Master Years of relevant Job Knowledge: Extensive Knowledge (8 - 12 years) Benefits & Perks — Headquarters located in one of the most dynamic and cosmopolitan cities in Europe: Amsterdam. — Contribute to a high‑scale, sophisticated, world‑class product and see the real‑time impact of your work on millions of travelers worldwide. — Be part of a truly international fast‑paced environment and performance‑driven culture. — Full relocation support for you and your family to move to Amsterdam. — We have fine‑tuned this process by successfully relocating hundreds of Technology professionals to Amsterdam in recent years. — Performance‑based company that offers 29 vacation days, career advancement, and lucrative compensation, including bonuses and stock potential. — Discount on Booking.com accommodations with the “Booking Deal” including other perks and benefits. — Company‑sponsored family and social activities to help our employees become integrated with each other and Dutch culture. — Diverse and creative colleagues from every corner of the world. — Health, life, and disability insurance*. — Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave. — Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country). — Industry‑leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit. — Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership. — On‑site meals, coffee, and snacks, including healthy and vegan options, daily*. — Benefits may vary slightly depending on location and contract type.

About the role We’re building a high-performance computer vision system that detects and recognizes objects on fast-moving trains and trucks. The application runs on Linux and is built with Rust/C++ and OpenCV. You’ll join a small team of engineers and ML specialists, working directly with the technical lead on software that powers logistics, automation, tracking, and access control for ports, railways, and industrial facilities. This is not an ML research role. Our ML team trains the models—you’ll focus on everything around them: recognition quality, algorithms, tooling, performance, and developer experience. What you’ll do Improve recognition quality through data analysis and application logic Build internal tools, scripts, and developer utilities Refactor and optimize existing systems for performance and stability Contribute to other engineering projects when needed (web, mobile, embedded, infrastructure) Depending on the project, you may also work with Go, Python, React/TypeScript, SQL/Postgres, and Linux tooling. We’re looking for someone with Strong Rust, C++, or equivalent systems programming skills Solid Linux, Git, and command-line experience Basic understanding of ML or data analysis Good written and spoken English We value engineers who are curious, take ownership, debug systematically, communicate well, and enjoy solving challenging real-world problems. Nice to have OpenCV, CUDA, deep learning, or custom ML model training Linux internals, performance optimization, or low-level debugging Docker, networking, distributed systems, or embedded development Strong personal or open-source projects Why Bravora? We’re a small, fully remote engineering team where you’ll have real ownership, direct impact, and plenty of room to grow. We actively modernize our stack, encourage AI-assisted development, and provide access to state-of-the-art LLM tools. Interested? Send us your CV, GitHub or portfolio (if available), your earliest start date, expected hourly rate, and a few sentences about why this role interests you.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As a Learning & Development Lead on the People team, you will establish the foundation for learning culture and capabilities to support Mistral AI’s growth. As the first hire in this area, your work will directly define processes, infrastructure, and strategy for continuous skill development across the organization. You’ll collaborate closely with teams in France, the USA, the UK, Germany, and Singapore to build programs that align with business goals and employee progression. Your efforts will ensure that our workforce is equipped with the skills needed for evolving business needs, making learning an integral part of everyday work. What You Will Do - Develop and deliver a learning and development strategy aligned to company objectives - Assess and prioritize skill gaps to inform training initiatives - Design and implement onboarding, upskilling, and reskilling programs - Build scalable learning paths for key roles and career growth - Source and curate external content and partnerships to supplement internal offerings - Collaborate with leaders to identify high-potential employees and development plans - Select, configure, and roll out a Learning Management System, ensuring adoption and alignment with HR and IT systems - Set up metrics and regularly measure L&D impact on organizational performance What We're Looking For - At least 8 years of HR experience, with significant time in tech start-ups or high-growth companies - Proven ability to build and manage L&D functions across multiple countries - Strong background in implementing and managing Learning Management Systems - Experience designing training programs for various teams and roles - Knowledge of instructional design and adult learning theory - Excellent communication, influence, and stakeholder management skills - Strong analytical and problem-solving mindset - Ability to adapt, work without clear structure, and turn strategy into action     WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Baku Workplace: onsite ABOUT US   Xsolla is a global video game commerce company that provides a comprehensive suite of tools and services for game developers and publishers - including payments, distribution, game stores, launcher solutions, and partner network services. Our platform processes transactions across 200+ geographies, supporting thousands of games and millions of players worldwide. Quality is not optional - it is foundational to every product we ship. ROLE OVERVIEW The Director of QA is a senior technical leadership role responsible for owning and scaling Xsolla's quality engineering function across multiple product lines, teams, and time zones. You will define and drive the strategic vision for quality assurance - from test automation architecture and CI/CD integration to AI-assisted testing practices and performance engineering. You will lead a distributed organization of 30+ QA engineers and leads as part of a broader QA organization of 75+ professionals, ensuring predictable, high-quality releases across every product Xsolla delivers. This is not a management-only position. You must be deeply technical - capable of reviewing automation code, architecting test frameworks, debugging CI/CD pipelines, and evaluating AI-driven testing approaches hands-on. Key Responsibilities Strategic Leadership & Ownership Define and execute the QA strategy across all Xsolla products, aligning quality objectives with business goals and product roadmaps. Own QA deliverables end-to-end - from test planning through release sign-off - and be accountable for outcomes, not just activities. Establish and enforce quality gates, defect governance policies, and release readiness criteria across all product teams. Drive organizational maturity: evolve the QA function from reactive testing to proactive quality engineering embedded in every stage of the SDLC . Represent QA at the executive level - articulate quality risks, tradeoffs, and resource needs to VP/C-level stakeholders with clarity and data. Technical Excellence Architect and oversee enterprise-grade test automation frameworks spanning UI (Playwright), API, database validation (SQL), and performance testing (K6). Define and maintain standards for test code quality - including code reviews, PR contributions, reusable libraries, and modular test design. Deep understanding of Git workflows - branching strategies, merge request reviews, repository hygiene, and code versioning best practices across multiple repositories. Expert-level knowledge of CI/CD pipelines - design, optimize, and troubleshoot automated build, test, and deployment pipelines (GitHub Actions, GitLab CI, Jenkins, or similar). Ensure all automation is fully integrated into CI/CD pipelines, with clear pass/fail signals, automated regression gates, and performance benchmarks at every release stage. Drive adoption of infrastructure-as-code practices for test environments - containerized test execution, ephemeral environments, and environment parity between staging and production. Evaluate, select, and implement QA tooling - including test management platforms (Qase), observability tools, and defect tracking integrations. AI Integration & Innovation Proven track record of using AI in day-to-day QA activities - not aspirational, but demonstrated. You have used AI tools to generate test cases, write automation code, analyze test results, identify flaky tests, or accelerate debugging. Champion and operationalize AI-assisted quality engineering across the organization - specifically using Claude AI for code generation, test design, automation scripting, and documentation. Define governance frameworks for AI-generated test artifacts - validation, review, and sign-off processes to ensure AI outputs meet quality standards. Stay current with AI/ML advancements relevant to testing - intelligent test selection, predictive defect analysis, autonomous test generation, and self-healing automation. Establish metrics to measure the impact of AI adoption on QA velocity, coverage, and defect detection rates. Team Leadership & People Development Lead, mentor, and develop a distributed team of 30+ QA professionals - including QA Leads, Senior QA Engineers, and QA Engineers - across multiple time zones (Americas, Europe, Asia-Pacific). Build a high-performance culture rooted in ownership, technical excellence, continuous learning, and psychological safety. Conduct regular 1:1s, career development conversations, and performance reviews. Identify and grow future QA leaders. Design and implement onboarding programs, skill development paths, and technical training curricula - including AI literacy for all QA team members. Manage resource allocation and capacity planning across multiple concurrent projects, ensuring predictable and sustainable QA delivery. Navigate cross-cultural team dynamics with sensitivity and effectiveness - a truly global team requires a global leadership mindset. Process Rigor & Quality Governance Enforce rigorous QA processes across the organization:  • Test case management : Create, maintain, and execute comprehensive test cases in Qase with full traceability (pass, fail, blocked statuses). Bug documentation : Ensure all staging bugs are filed with detailed reproduction steps, expected vs. actual behavior, environment details, screenshots/videos, and severity classification - following established training standards. Automation framework documentation : Maintain clear, up-to-date documentation for all automation frameworks, ensuring any engineer can onboard and contribute. QA Score : Drive iterative improvements in QA Score metrics - tracking automation coverage, defect escape rate, test execution velocity, and regression stability. Define and track QA KPIs and OKRs - present quality dashboards and trend analysis to leadership regularly. Conduct root cause analysis on production escapes and implement systemic corrective actions. Cross-Functional Collaboration Partner closely with Engineering, Product, DevOps, and Release Management to embed quality practices into every phase of the development lifecycle. Work effectively in Agile/Scrum environments - participate in and drive sprint planning, retrospectives, daily stand-ups, and release ceremonies. Act as the primary QA stakeholder for cross-functional initiatives - environment strategy, deployment automation, incident response, and post-mortem processes. Build strong relationships with engineering leadership to ensure QA is not a bottleneck but an accelerator. Common Expectations Across All QA Roles Must be technical and able to write code for testing and automation. Use Claude AI to assist in code creation, automation, and test design. Follow QA processes rigorously: create and execute robust test cases in Qase , maintain clear documentation in automation frameworks, ensure traceability of executed test cases with statuses (pass, fail, blocked), and file Staging Bugs with detailed documentation following training standards. Contribute to iterative improvements in QA Score and testing processes. Strong communication and collaboration skills, analytical mindset, and commitment to continuous learning. Ability to work effectively in Agile/Scrum environments, participating in sprint planning, retrospectives, and daily stand-ups. Required Qualifications 15+ years of experience in QA/Quality Engineering , with at least 6+ years in Senior Manager or Director-level roles . Proven experience leading teams of 30+ people distributed across multiple time zones and cultural contexts. Hands-on technical proficiency - you can write and review test automation code, not just manage people who do. Proficiency in one or more: Python, JavaScript/TypeScript, Java. Deep expertise in test automation frameworks : Playwright, Selenium, Cypress, or equivalent for UI; REST/GraphQL API testing tools; database validation via SQL. Performance testing experience : K6, JMeter, Gatling, or Locust - designing, executing, and analyzing load/stress/soak tests. Expert knowledge of Git : branching strategies (GitFlow, trunk-based), pull request workflows, code review practices, repository management across multiple repos. Expert knowledge of CI/CD : designing and maintaining pipelines (GitHub Actions, GitLab CI, Jenkins, CircleCI), integrating automated tests into build/deploy workflows, debugging pipeline failures. Demonstrated use of AI tools in professional QA work - Claude, ChatGPT, Copilot, or similar - for test generation, automation coding, defect analysis, or process optimization. Provide specific examples. Strong understanding of Agile/Scrum methodologies and experience operating within and across Agile teams. Experience with test management platforms (Qase, TestRail, Zephyr, or similar). Excellent communication skills - ability to present complex technical quality topics to non-technical stakeholders, write clear documentation, and influence without authority. Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience). Preferred Qualifications Experience in the video game, fintech, or e-commerce/payments industry - understanding the unique quality challenges of high-throughput transaction systems. Experience with cloud-native architectures (GCP, AWS, Azure) and testing strategies for microservices, event-driven systems, and distributed architectures. Familiarity with containerization and orchestration (Docker, Kubernetes) for test environment management. Experience building or managing unified test environments - non-production environment strategies that enable safe, deterministic, and scalable validation. Knowledge of security testing fundamentals ( OWASP , penetration testing, vulnerability scanning). Experience with data pipeline testing and data quality validation. Background in establishing QA Centers of Excellence or transforming QA organizations from manual-heavy to automation-first. What Success Looks Like (First 12 Months) 90 days : Complete assessment of current QA processes, tooling, team capabilities, and automation coverage. Establish relationships with all QA leads and key engineering stakeholders. Identify top 3 strategic gaps. 180 days : Deliver a QA strategy roadmap aligned with product and engineering priorities. Implement measurable improvements in automation coverage and CI/CD test integration. Launch AI-assisted testing pilot across at least 2 product teams. 365 days : Achieve measurable reduction in production defect escape rate. Demonstrate >80% automation coverage on critical regression paths. AI-assisted testing practices adopted across all QA teams. QA Score trending consistently upward. Team engagement and retention metrics at or above company benchmarks. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Mexico You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! You Will Work on latest edge Cloud computing to solve difficult, manual and repeatable tasks for users adopting Cloud technologies like AWS, Salesforce, Microsoft and more Use the latest trends on building SaaS applications using multitenancy, scalability large data volumes / Big Data and more Develop and expand our portfolio to support most popular Cloud apps (200+) Develop understanding of not just software development, but also how to design, develop and launch a product from concept to high customer use. About Us At DBSync we provide opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spunned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our main motto is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System We genuinely care We do not waste time on manual or mundane task We have a fun environment We own it We are experts on what we do We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. - Best Relationship- Winter 2024 - Leader Americas Winter 2024 - Best Results - Winter 2024 - Best Usability - Winter 2024 About the Role The Forward Deployment Engineer (FDE) is a hybrid role at the intersection of engineering, business analysis, and customer success. Acting as the bridge between product teams and enterprise clients, FDEs ensure smooth deployment of AI-driven solutions, workflow automation, and SaaS integrations. They combine technical expertise with business acumen to translate client needs into production-ready solutions that drive measurable impact. Roles and Responsibilities Customer Discovery: Conduct structured workshops with client stakeholders to capture workflows, pain points, and desired outcomes. Solution Design: Translate business requirements into technical workflows, automations, and integrations. Deployment Execution: Configure, test, and deploy solutions, ensuring seamless go-live and adoption. Workflow Automation: Build and customize automations using APIs, scripts, or low-code platforms. Technical Troubleshooting: Diagnose integration issues, resolve blockers, and iterate based on client feedback. Customer Advocacy: Serve as the technical expert during onboarding and beyond, ensuring long-term customer success. Feedback Loop: Provide insights from deployments to product and engineering teams to shape roadmap priorities. Skills and Qualifications Bachelor's degree in Computer Science, Engineering, or related field — or equivalent demonstrated experience shipping production integrations. 4–8 years in a customer-facing technical role where you personally wrote and owned the code (Forward Deployed Engineer, Solutions Engineer, Integration Engineer, Implementation Engineer, or similar). Strong coding ability (Python, Java, Go, or similar) — able to build and debug real integration logic, not just configure a UI. Deep familiarity with SaaS systems, REST/SOAP APIs, webhooks, and authentication patterns (OAuth, API keys, SSO basics). Experience with workflow automation platforms, CI/CD, and basic observability/monitoring tools. Comfortable with SQL and at least one BI tool (Looker, Tableau, Superset) for validating data and demonstrating impact. Demonstrated ability to operate independently in ambiguous, loosely-scoped situations and drive to a working solution. Excellent communication skills — able to run a discovery workshop, explain a technical trade-off to a non-technical stakeholder, and write clear documentation. Strongly Preferred Hands-on experience with LLM/agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and applying them to real workflow or data problems. Experience with RAG pipelines, prompt/eval design, or AI observability and guardrails. Prior experience embedded on-site with enterprise clients during implementation. Nice to Have Background in consulting or early-stage startup environments (frequently correlates with FDE success due to comfort with ambiguity and ownership). MBA preferred. Location: Mexico (Remote, LATAM region) Shift Timings: U.S. Shift (8:00 AM CST - 5:00 PM CST) For more information about DBSync, visit www.mydbsync.com. Video: https://www.youtube.com/playlist?list=PLJzycdoERLoekPWNkXEsuih807TQAEnnB Requirements Benefits

Location: Poland About the Opportunity Dentons Europe is currently seeking a Information Security Engineer, specializing in Microsoft cloud technologies to play a key role in strengthening and evolving our security landscape. In this role, you will design and implement security controls across cloud and hybrid environments, with a strong focus on Microsoft 365 and Microsoft Azure. You will operate at the intersection of architecture and execution shaping security decisions, guiding technical teams, and ensuring that systems, applications, and integrations meet the firm’s security, compliance, and reliability standards. As a trusted advisor and technical authority, you will work closely with Information Security, IT, and business stakeholders across Europe, embedding security into the design and delivery of technology solutions while continuously improving the organization’s overall security posture. This is an opportunity to make a visible, enterprise-wide impact in a complex, international environment. You will primarily be accountable for Design, implement, and maintain robust security and compliance controls across Microsoft 365, Microsoft Azure, and hybrid environments. Act as a cybersecurity subject-matter expert for Europe and Country IT teams providing clear, practical guidance on secure design and implementation. Assist in embedding security into application, infrastructure, identity, endpoint, and integration architectures (including APIs and data flows), ensuring alignment with secure development lifecycle practices and architectural standards. Collaborate with architects, engineers, project teams, and business stakeholders to define security requirements as integral part of enterprise initiatives and technology solutions from the outset. Work closely with SOC and CSIRT teams to support incident response activities, including investigation, containment, and remediation, and ensure lessons learned are reflected in improved controls and architecture. Lead end-to-end vulnerability management activities, including vulnerability scanning, assessments, penetration testing coordination, and remediation tracking with system owners and technical teams. Identify, assess, and mitigate security risks across cloud and enterprise environments, driving measurable improvements in the firm’s security posture. Provide advanced troubleshooting and technical leadership for complex or high-impact security issues. Develop and maintain security documentation, standards, reports, and control frameworks. Requirements Minimum 3 years of experience in cloud security or enterprise cybersecurity engineering Advanced expertise in Microsoft Azure security, including at least two of : Defender for Cloud Microsoft Sentinel Infrastructure / Network Security (IaaS) Application and API security Storage and database security Advanced expertise in Microsoft 365 security, including at least two of: Microsoft Entra ID, identity and access management Microsoft Purview, data protection and compliance Microsoft 365 Defender suite Intune / Endpoint Manager Strong understanding of: Security architecture principles, including Zero Trust, defense-in-depth and least privilege Hybrid cloud environments and system integrations Vulnerability management, including analyzing penetration testing and coordinating remediation of results API security and modern integration technologies Scripting and automation skills, e.g., PowerShell, Python or Bash Strong interest in security architecture, with a desire to deepen exposure and grow toward architectural responsibilities Professional experience Proven experience designing and implementing secure solutions in Microsoft technologies-based enterprise environments Experience working with large-scale or multi-country IT environments Solid exposure to security operations, incident response and security tooling Experience collaborating across infrastructure, development and business teams Benefits Private medical healthcare provided by Medicover MultiSport card Benefit Cafeteria system Option to join a private insurance plan An additional day off for your birthday Tailored learning & development opportunities Hybrid work model with a modern office in Warsaw city center

Location: Hong Kong We are seeking a qualified and experienced Clinical Psychologist to join our growing team. The ideal candidate will have a strong background in delivering evidence-based treatments, particularly Cognitive Behavioral Therapy (CBT), and experience in administering neuropsychological assessments for youths, adolescents, and adults, as well as strong report writing skills.  Key Responsibilities: Develop and implement individualised treatment plans using evidence-based interventions, with a primary focus on CBT. Provide individual and group therapy sessions for clients, both in-person and virtually Conduct neuro-psychological assessments including ADHD, learning needs, dyslexia, and other related conditions. Participate in team meetings and contribute to ongoing service development and improvement initiatives. Collaborate with our interdisciplinary team to develop and implement client-centered treatment plans. Work closely with our 24/7 helpline responder team to manage risk, ensure the safety of clients in crisis situations and provide crisis interventions Maintain accurate and up-to-date client records in accordance with professional and legal standards. Continuously update professional knowledge and skills through participation in continuing education and Requirements Minimum Master’s Degree in Clinical Psychology with a minimum of 500 supervised hours of clinical experience post qualification (excluding academic placements) and ≥3 years of post-qualification clinical practice. Registered with appropriate local governing body such as HKPS Skilled in Trauma-Informed Therapeutic Approaches (e.g. TF-CBT, EMDR, DBT for trauma survivors, and/or Somatic Experiencing) and Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT). Experience managing moderate to high complexity cases. Hold valid and active licenses applicable to the country of practice. Proficiency in English and Vietnamese. Prior experience in EAP, therapy/counselling and/or as an in-house wellbeing provider is a plus. Benefits Why Join Us? Become part of a collaborative network of Clinical Psychologists dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care!

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro CloudLinux / TuxCare is a remote-first infrastructure and security company. More than 300 engineers build and operate products used by hosting providers, enterprises, and internal service teams worldwide. Our Infrastructure Department runs the platforms behind CloudLinux OS, Imunify, KernelCare, TuxCare ELS, and our engineering systems. We are hiring a Senior Database Reliability Engineer to join the Infrastructure DBA cell. This is a hands-on production ownership role, not a narrow ticket-processing DBA position. You will keep critical database services reliable, automate repeated work, support engineering teams, and reduce single-person dependency in our PostgreSQL, ClickHouse, MongoDB, and Redis operations. PostgreSQL is the main requirement. ClickHouse experience is a strong plus, but it is not a day-one blocker. We need a senior engineer with enough database, Linux, automation, and incident-response depth to learn our ClickHouse environment quickly and operate it safely. Your Responsibilities: Own production PostgreSQL reliability: HA design, Patroni, PgBouncer, replication, failover, upgrades, vacuum/bloat control, query tuning, locks, indexes, capacity, backups, PITR, and restore validation. Improve disaster recovery and operational evidence: tested restores, documented recovery paths, measurable RTO/RPO targets, runbooks, and safe maintenance plans. Support the wider database estate: ClickHouse, MongoDB, and Redis. You will troubleshoot incidents, review access and data-safety changes, improve monitoring, and learn the production ClickHouse patterns already in use. Automate DBA workflows with Ansible, Terraform/OpenTofu, GitLab CI/CD, scripts, and reproducible runbooks for provisioning, grants, backups, restores, health checks, and ownership metadata. Help build DBaaS-style self-service capabilities so engineering teams can request databases, access, credentials, and operational checks with less manual DBA intervention. Improve observability and incident response through Grafana, metrics, logs, SLOs, alert rules, Opsgenie routing, and clear communication during production issues. What Success Looks Like: PostgreSQL clusters have tested backup and restore paths, useful dashboards, clear ownership, and documented failover procedures. Repeated DBA tickets become automation or self-service workflows. ClickHouse operational knowledge is no longer a single-person dependency. Database incidents have owners, runbooks, evidence, and measurable recovery paths. Product and engineering teams get database help faster without sacrificing safety, auditability, or reliability. Why CloudLinux? You will work on real production infrastructure used across CloudLinux and TuxCare products. You will have a direct impact on reliability, incident response, developer experience, and operational resilience. You will also work in an AI-assisted engineering culture where automation, documentation, Claude, Codex, and careful human verification are part of the daily operating model. Requirements What We Expect From You: Deep hands-on PostgreSQL experience in business-critical production environments, typically 5+ years or equivalent depth. Strong understanding of PostgreSQL internals and operations: MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups, PITR, and restore testing. Proven experience with highly available databases and the ability to reason about quorum, split-brain risk, failover, rollback, and recovery. MongoDB replica sets and Percona Backup for MongoDB. Strong Linux and infrastructure fundamentals: systemd, networking, storage, filesystems, CPU/memory/disk bottlenecks, TLS, DNS, firewalls, and root-cause troubleshooting. Automation skills with Ansible and scripting. Terraform/OpenTofu, GitLab CI/CD, and merge-request based delivery are strong advantages. Ability to support more than one database engine. You do not need to be a ClickHouse expert on day one, but you must be ready to learn it quickly and take responsibility for it. Practical use of AI engineering assistants such as Claude and Codex. We expect you to use them to improve speed and quality, while personally verifying generated SQL, commands, scripts, and operational conclusions. English - upper-intermediate or higher - to ensure clear communication of progress within the teams. Nice to Have: ClickHouse operations: replication, Keeper/ZooKeeper, MergeTree engines, distributed DDL, grants, row policies, backups, query troubleshooting, and cluster recovery. Redis/Sentinel and broker/cache failure modes. Database observability, SLOs, golden signals, alert tuning, and executable incident runbooks. Building internal platforms, self-service portals, or DBaaS workflows for engineering teams. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Tel Aviv Senior Data Analyst- Risk & Compliance team As a Data Analyst at Melio you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep Melio a data driven company. You will play a key role in the ability of each team at Melio to keep scaling! Minimum qualifications to apply for this role: 5+ years of experience as a Data Analyst SQL at a high level is mandatory An ability to understand complex ideas and simplify them to relevant stakeholders. Team player, effective interpersonal skills and good vibes. Manage relationships with key partners across different functions, ability to work independently Experience in fast-paced, high-intensity work environment Experience in BI tools such as Tableau, Redash or similar Hands on experience in using AI tools for Data Analytics AI Oriented mind set B.S in one of the following: Industrial Engineering, Statistics, Mathematics, Economics, or a related field. Preferred qualifications (If you have those, we see it as advantage, but it's not a must): Previous experience in Risk and fraud management Previous experience in AML or financial crimes in the Fintech industry How your day is going to look, what you will be doing? - Helping each team to take decisions based on data by: Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights Define and implement KPIs across different teams Accompany product features from tech design to feature performance Translate product/business requirements to analytical logics, and create a very clear visualization which "tells the story" using a BI tool or other platform. About Melio: Melio builds business-to-business (B2B) payment tools so small business owners can spend less time in the back office and more time on their craft. As the fastest-growing B2B payment platform in the US, Melio is working hard to find new and better ways to help small businesses succeed in the ways that work best for them. With offices in New York, Denver, and Tel Aviv, and a vibrant work culture, Melio is expanding every single day. We are a diverse group of people who love what we do and do what we love. If you are a driven and passionate team player, you will fit right in. We are an equal-opportunity employer and are always on the lookout for top-notch talent—please reach out if you would like to join us on this exciting journey! About the hiring department: The Data department at Melio collaborates with colleagues from various disciplines—Research Engineers, Analysts, and other Data Scientists—on statistical methods and machine learning techniques (both supervised and unsupervised) in order to develop classification and anomaly detection algorithms. We're the ones making sure the company is meeting its goals by extracting valuable insights from highly complex data. We ask the right questions and find the right answers all in a fast-paced, results, marketing and data-oriented environment. As part of a data team within a fintech company, you’ll have a unique opportunity to make a real impact on Melio, its product, our users and help the company scale #LI-TG1

Location: United States | Miami, USA WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. THE ROLE Higgsfield AI is seeking a GTM Director – Latin America (LATAM) to lead our commercial growth across the Latin American market. This is a senior individual contributor role responsible for driving enterprise sales, developing strategic customer relationships, and accelerating Higgsfield's expansion throughout Latin America. You will partner closely with cross-functional teams to introduce the world's leading organizations to the future of AI-powered creative technology. The ideal candidate has a successful track record selling enterprise software into sophisticated organizations, understands complex buying environments, and is excited to help define the commercial strategy for one of the fastest-growing AI companies in the world. This position is based in Latin America. WHAT YOU'LL DO DRIVE REVENUE GROWTH - Own the LATAM territory and achieve aggressive revenue targets. - Develop and execute strategic account plans across enterprise customers. - Manage full sales cycles from prospecting through negotiation and close. - Maintain accurate forecasting and pipeline management. BUILD EXECUTIVE RELATIONSHIPS - Develop trusted partnerships with executive stakeholders across enterprise organizations. - Lead strategic customer conversations around AI transformation, creative workflows, and business value. - Represent Higgsfield at industry events, executive meetings, and customer engagements. PARTNER CROSS-FUNCTIONALLY - Collaborate closely with Marketing, Product, Customer Success, Solutions Engineering, and Legal throughout the customer lifecycle. - Provide customer insights that influence product development and go-to-market initiatives. - Support customer expansion and long-term account success. EXPAND HIGGSFIELD'S PRESENCE - Build Higgsfield's reputation across the Latin American AI, media, advertising, and enterprise technology ecosystem. - Develop relationships with key industry partners, agencies, channel partners, and strategic influencers across the region. - Serve as the voice of the LATAM market internally. WHAT WE'RE LOOKING FOR - 8–12 years of enterprise SaaS, AI, cloud, MarTech, AdTech, or related technology sales experience. - Demonstrated success exceeding enterprise revenue targets across Latin America. - Experience selling to large enterprise organizations with complex procurement and legal processes. - Strong executive communication, presentation, and negotiation skills. - Deep understanding of the Latin American enterprise market, including regional business practices and buying dynamics. - Ability to develop multi-country territory strategies and execute independently. - Strong collaboration across globally distributed teams. - Excellent written and verbal communication skills in English and Spanish. Portuguese proficiency is strongly preferred. - Experience selling AI, generative AI, creative technology, marketing technology, advertising technology, or media platforms. - Existing relationships with enterprise organizations, agencies, media companies, or strategic partners across Latin America. - Experience at a high-growth venture-backed startup. - Familiarity with PLG and enterprise sales models. - Experience using Salesforce, HubSpot, or similar CRM platforms. - Must be able to travel. Compensation & Benefits: - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - United States Base Salary: The anticipated salary range for this role is $150,000 – $220,000, depending on experience, skills, scope, and location. - LatAm Countries Salary: Determined by country. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a remote role based in Miami, Florida or in LatAm. Travel will be expected for this position. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Remote, Germany WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. THE ROLE Higgsfield AI is seeking a Regional Director, GTM – Germany to lead our commercial growth across the German market. This is a senior individual contributor role responsible for driving enterprise sales, developing strategic customer relationships, and accelerating Higgsfield's expansion across Germany. You will partner closely with cross-functional teams to introduce the world's leading organizations to the future of AI-powered creative technology. The ideal candidate has a successful track record selling enterprise software into sophisticated organizations, understands complex buying environments, and is excited to help define the commercial strategy for one of the fastest-growing AI companies in the world. This position is based in Germany. WHAT YOU'LL DO DRIVE REVENUE GROWTH - Own the Germany territory and achieve aggressive revenue targets. - Develop and execute strategic account plans across enterprise customers. - Manage full sales cycles from prospecting through negotiation and close. - Maintain accurate forecasting and pipeline management. BUILD EXECUTIVE RELATIONSHIPS - Develop trusted partnerships with executive stakeholders across enterprise organizations. - Lead strategic customer conversations around AI transformation, creative workflows, and business value. - Represent Higgsfield at industry events, executive meetings, and customer engagements. PARTNER CROSS-FUNCTIONALLY - Collaborate closely with Marketing, Product, Customer Success, Solutions Engineering, and Legal throughout the customer lifecycle. - Provide customer insights that influence product development and go-to-market initiatives. - Support customer expansion and long-term account success. EXPAND HIGGSFIELD'S PRESENCE - Build Higgsfield's reputation across the German AI, media, advertising, and enterprise technology ecosystem. - Develop relationships with key industry partners and influencers. - Serve as the voice of the German market internally. WHAT WE'RE LOOKING FOR - 8–12 years of enterprise SaaS, AI, cloud, MarTech, AdTech, or related technology sales experience. - Demonstrated success exceeding enterprise revenue targets. - Experience selling to large enterprise organizations with complex procurement and legal processes. - Strong executive communication, presentation, and negotiation skills. - Deep understanding of the German enterprise market. - Ability to develop territory strategy and execute independently. - Strong collaboration across globally distributed teams. - Excellent written and verbal communication skills in German and English. - Experience selling AI, generative AI, creative technology, marketing technology, advertising technology, or media platforms. - Existing relationships with enterprise organizations, agencies, media companies, or strategic partners across Germany. - Experience at a high-growth venture-backed startup. - Familiarity with PLG and enterprise sales models. - Experience using Salesforce, HubSpot, or similar CRM platforms. COMPENSATION We offer a competitive and thoughtfully structured compensation package designed to align with impact and growth. Compensation will be competitive and based on experience, market location, and demonstrated performance. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Remote, France Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. The Role Higgsfield AI is seeking a Regional Director, GTM – France to lead our commercial growth across the French market. This is a senior individual contributor role responsible for developing enterprise relationships, driving new customer acquisition, expanding strategic accounts, and serving as Higgsfield's market leader in France. You will work closely with Marketing, Product, Customer Success, and Leadership to accelerate adoption of Higgsfield's AI platform across leading brands, agencies, media companies, and enterprises. The ideal candidate has a proven record of selling complex SaaS or AI solutions, deep knowledge of the French enterprise landscape, and thrives building business in fast-moving, high-growth environments. This position is based in France. What You'll Do Drive Revenue Growth - Own the French territory and deliver against ambitious revenue targets. - Develop and execute territory strategies to acquire new enterprise customers and expand existing relationships. - Manage complex, multi-stakeholder sales cycles from prospecting through contract execution. - Accurately forecast pipeline and revenue while maintaining strong CRM discipline. Build Executive Relationships - Develop trusted relationships with C-level executives, marketing leaders, creative teams, and digital transformation stakeholders. - Position Higgsfield as a strategic AI partner helping customers transform content creation and marketing workflows. - Represent Higgsfield at customer meetings, industry events, conferences, and executive briefings. Partner Cross-Functionally - Collaborate closely with Product, Marketing, Customer Success, Legal, and Solutions teams to deliver exceptional customer experiences. - Provide market intelligence and customer feedback to influence product roadmap and go-to-market strategy. - Support customer onboarding and long-term account growth. Expand Higgsfield's Presence - Build brand awareness and strategic partnerships across the French AI, advertising, media, and enterprise ecosystem. - Identify emerging market opportunities and develop scalable growth initiatives. - Serve as the voice of the French market internally. What We're Looking For - 8–12 years of enterprise SaaS, AI, cloud, MarTech, AdTech, or related technology sales experience. - Proven history of consistently exceeding enterprise sales quotas. - Experience selling into large enterprise organizations and navigating complex procurement processes. - Strong executive presence with exceptional communication and relationship-building skills. - Deep understanding of the French business landscape and enterprise buying process. - Experience managing long, consultative sales cycles. - Highly entrepreneurial with the ability to build territory strategy independently. - Strong collaboration skills across cross-functional global teams. - Native or fluent French and professional English proficiency. - Experience selling AI, generative AI, creative technology, marketing technology, advertising technology, or media platforms. - Existing network across French enterprise brands, agencies, media organizations, and technology leaders. - Experience working within a high-growth startup environment. - Knowledge of PLG and enterprise sales motions. - Experience with Salesforce, HubSpot, or similar CRM platforms. Compensation We offer a competitive and thoughtfully structured compensation package designed to align with impact and growth. Compensation will be competitive and based on experience, market location, and demonstrated performance. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Remote, Canada; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Site Reliability Engineers keep GitLab's user-facing services and production systems running reliably at scale. They combine software engineering with operational excellence, applying sound engineering principles, automation, and continuous improvement to build, operate, and evolve our production infrastructure. This is a single application for Site Reliability Engineering opportunities across Infrastructure Platforms. Rather than asking you to choose the right team or level upfront, we evaluate your skills holistically and match you to the opportunity that best aligns with your experience and our hiring needs. We hire Site Reliability Engineers from Intermediate through Senior Staff across multiple Infrastructure Platforms teams. We don't expect every candidate to have experience with every technology in our environment. We're looking for engineers with strong technical fundamentals, a growth mindset, and the ability to learn quickly. We'll support you in becoming successful with GitLab's tools, systems, and ways of working. Please note: This position is open to candidates based in the United States and Canada only. Candidates based in the United Kingdom can apply to this posting: Site Reliability Engineer, Infrastructure Platforms — UK (Intermediate to Senior Staff) How our SRE hiring works Because this is a single application for SRE roles across Infrastructure Platforms, our process is built to evaluate you once and match you well, rather than interviewing separately for every team. Recruiter Screen: A conversation about your background, what you're looking for, and the level and teams that fit, so we can point your process in the right direction. Core Technical: The shared assessment every SRE candidate takes, regardless of eventual team. A low-stress, collaborative discussion covering system architecture and incident review. Hiring Manager Interview: A conversation about ownership, judgment, execution, collaboration, and growth, the non-technical signals that make an SRE effective at GitLab. Peer Technical: Team-specific depth, run by SREs from the team you're most likely to join, focused on the problems that team actually works on. Skip-Level Interview: A conversation with a senior leader on values alignment, and how you'll work across teams. After your interviews, we consider your performance alongside our current hiring needs to confirm the level and team where you'll do your best work. Interview results are a major factor, and final placement also reflects our active hiring priorities at the time. We’ll calibrate your level throughout the interview process based on the scope and impact of your experience. Intermediate: You independently deliver meaningful reliability improvements within a defined area. Senior: You own complex reliability work end to end and raise the effectiveness of your team. Staff: You shape reliability across multiple teams, solving systemic problems and creating approaches others can reuse. Senior Staff: You set technical direction across a broader Infrastructure area and influence reliability strategy at organizational scale. What you'll do Keep user-facing services and production systems reliable, scalable, and efficient Build automation and tooling that reduces toil and replaces manual work with repeatable, infrastructure-as-code-driven workflows Operate and troubleshoot production systems on Kubernetes, including deployments, rollouts, and scaling Write and maintain infrastructure as code, and ship changes safely through CI/CD and GitOps Participate in on-call, triage alerts, follow and improve runbooks, and escalate appropriately Contribute to the observability stack, using metrics, logs, and SLOs to detect symptoms early rather than just outages Take part in incident response and post-incident reviews, turning learnings into changes in automation and process Document runbooks, architecture decisions, and reviews so your findings become repeatable practices What you'll bring Experience keeping production systems reliable, combining an operations mindset with real software engineering practice Experience building net-new infrastructure tooling and automation, not just configuring existing tools. For example, Terraform modules, Kubernetes operators or controllers, or production automation and services written from scratch The ability to read, debug, and reason about code. Most of our teams work in Go; some work in Ruby. You can discuss a piece of code's behavior, performance, and failure modes Experience with infrastructure as code, and with Kubernetes and its ecosystem, at a depth appropriate to your level Hands-on experience with at least one major cloud provider (GCP or AWS) Familiarity with observability practices, including metrics, logging, alerting, and SLOs or SLIs, and using data to inform operational decisions Comfort participating in on-call and incident response, with a structured approach to troubleshooting under pressure Strong written communication and the ability to operate as a manager-of-one in an async, distributed environment A track record of using automation, and increasingly AI, to reduce toil and improve how you and your team work Alignment with GitLab's values and a commitment to working in accordance with them About the team Infrastructure Platforms is responsible for the availability, reliability, performance, and scalability of GitLab’s user-facing services, most notably GitLab.com . The organization spans teams across Production Engineering , GitLab Dedicated , GitLab Delivery , and Developer Experience , covering everything from the production fleet and networking platform to observability, incident response, deployment infrastructure, tenant scale, and our single-tenant Dedicated offering. We are a globally distributed, remote-first organization that works asynchronously, favors automation over toil, and uses monitoring, metrics, and clear ownership to continuously improve the reliability of GitLab at scale. For more on how we work, see the Infrastructure Handbook Page . The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $314,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Analyst focused on Bio Harms, you will play a critical role in protecting against the misuse of AI systems for biological and related CBRNE harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating bio risks, investigating potential violations, and help continuously strengthen our safeguards.  The work sits at the intersection of biosecurity threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of biology and enabling technologies well enough to separate the benign from the malicious. You will own and continuously improve the enforcement monitoring workflows for the bio-harms area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering cross-functional partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities Enforce Usage Policies with a specific focus on detecting and mitigating potential bio risks and harmful use of AI systems. Take ownership of enforcement monitoring workflows for the bio-harms area, improving end-to-end detection, investigation, triage, and escalation processes. Monitor and analyze platform activity to identify emerging patterns related to biological (and adjacent chemical, radiological, nuclear, and explosive) threats that may require policy updates or enforcement action. Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. Proactively surface trends and propose improvements to detection methods and review workflows. Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for bio-related policy violations. Partner with Policy and Threat Intelligence groups to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to potential bio-related Usage Policy violations. Minimum qualifications Hold a degree in a bio-related field (e.g., microbiology, molecular biology, biochemistry, public health) and/or relevant professional experience in a related field. Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows. Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts. Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure. Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative. Communicate clearly in writing and can translate technical bio concepts for diverse audiences, including both technical and non-technical stakeholders. Preferred qualifications Subject matter expertise in biodefense, biosecurity, WMD/CBRNE non-proliferation, or threat-intelligence. An understanding of where real-world biological risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction. Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health. Familiarity with dual-use research of concern (DURC), select agents, and relevant policy frameworks. 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: $245,000 — $285,000 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 | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Analyst focused on Chem & Explosives Harms, you will play a critical role in protecting against the misuse of AI systems for chemical and explosives harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating these risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of chemical and explosives threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of chemistry and explosives technologies well enough to separate the benign from the malicious — and who acts decisively under ambiguity. You will own and continuously improve the enforcement monitoring workflows for this harm area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering matrix partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems from AI-facilitated weapons harm. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities Enforce Usage Policies with a specific focus on detecting and mitigating potential chemical and explosives risks and harmful use of AI systems. Take ownership of enforcement monitoring workflows for the chemical and explosives harm area, improving end-to-end detection, investigation, triage, and escalation processes. Monitor and analyze platform activity to identify emerging patterns related to chemical and explosives threats (within the broader CBRNE landscape) that may require policy updates or enforcement action. Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. Proactively surface trends and propose improvements to detection methods and review workflows without waiting to be directed. Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for policy violations. Partner with Policy and Threat Intelligence teams to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to chemical and explosives policy violations. Minimum qualifications Hold a degree in a chemistry-related field (e.g., chemistry, chemical engineering, materials science) and/or relevant professional experience in a related field. Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows. Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts. Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure. Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative. Communicate clearly in writing and can translate technical chemistry concepts for diverse audiences, including both technical and non-technical stakeholders. Preferred qualifications Subject matter expertise in chemical and explosives defense, security, WMD/CBRNE non-proliferation, or threat-intelligence. An understanding of where real-world chemical and explosives risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction. Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health. Familiarity with the Chemical Weapons Convention (CWC), scheduled chemicals, precursor controls, and energetic-materials safety frameworks. 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: $245,000 — $285,000 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.