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Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. or Canada. Residents of Quebec are not eligible for this role. At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. Key responsibilities: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What we're looking for: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Nice to have: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. In the US, the Base compensation range for this role is $ 154,445 - $185,334 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Valencia Workplace: Hybrid ROLE HIGHLIGHTS: • Senior Software Engineer - Tasking and Planning • Location: Valencia, Spain • Department: Ground Segment • Reports to: Engineering Manager • Employment type: Permanent • Workplace model: Hybrid (3 days per week in office) • Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As Senior Software Engineer on the Acquisition Planning team, you will build the software systems that enable ICEYE and its customers to task satellites, plan data acquisitions, and turn orbital mechanics into operational intelligence capability. From pass prediction and coverage computation engines to event-driven backend services and the engineering interfaces that let users visualise and de-conflict collection plans, you will own the stack end-to-end — working directly alongside engineers and product managers with deep operational backgrounds to understand what users need and ship software that delivers it. This is an early-stage, high-autonomy role where you will help define the architecture and direction of a platform that sits at the intersection of software engineering, applied mathematics, and real-world intelligence operations. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Tasking and Planning Engines. Orbit propagation, pass prediction, acquisition geometry, sensor configuration parameters, and coverage footprint computation. Applied science mathematics turned into operational capability via Software. - Platform Services. Backend services handling task management. Event-driven workers performing opportunity calculation and synchronising state asynchronously via NATS JetStream. PostgreSQL for persistence. Responsiveness and resilience at the service of the mission. - Engineering Interfaces. Robust and evolvable APIs and UIs that enable engineers to visualise passes, compare collection plans, plan tasks, and self-service their access to space. - Whatever the future brings. Multi-sensor coordination, processing pipeline integration, new collection strategies, and capabilities that will emerge from close collaboration with users. You will help define the direction, not just execute it. WHAT WE’RE LOOKING FOR Must haves: - Strong software engineering fundamentals. You design decoupled, maintainable, resilient, performant systems. You can reason about concurrency and how transactions work. You know about CAP and regularly make deliberate trade-offs between Consistency and Availability. You understand the difference between “At most once”, “At least once” and how to design systems around those guarantees. - Fluency with AI-assisted engineering. You treat AI as a standard part of your toolkit, not a novelty or a threat. You use it across the whole of your work (design exploration, code, tests, documentation, debugging, reviewing unfamiliar codebases) and you have a feel for where it accelerates you and where it quietly costs you time. Crucially, you stay accountable for the output: you know how to prompt and scope a task well, how to verify what comes back, and how to keep the guarantees that production demands. You are curious about improving the way you and your team work with these tools, and you help others get better at it. - Production experience. You have designed, built, and operated services in production: REST APIs, relational databases, and asynchronous workers. You know how to make your systems observable and resilient. You understand what production demands beyond making things work locally. - Fast learner in technical domains. This role involves orbital mechanics, RF physics, and geospatial data. You don’t need to come in knowing these — but you do need to be the kind of engineer who can pick up a new domain quickly, ask sharp questions, and start contributing before you’ve mastered every detail. - Ability to work from ambiguity. You can take a loosely defined operational need (e.g. “we need users to de-conflict between competing collection plans”) and turn it into concrete engineering work. You ask the right questions, make well-reasoned decisions, and adjust when new information arrives. - Effective communication across domains. You will work alongside people who think in many different ways and work in different contexts. You can listen carefully, ask precise questions, and articulate technical tradeoffs in terms that everybody can understand, and adjust to your audience accordingly. Nice to haves: - Event-driven architecture. Experience with NATS, Kafka, SQS, or similar. Understanding of at-least-once delivery, idempotency, and the practical tradeoffs of asynchronous service communication. - Modern frontend engineering. Production experience with Next.js, React, and TypeScript, particularly for data-intensive or real-time visualisation applications. Experience with CesiumJS or deck.gl http://deck.gl is a strong plus. - Proficiency with AI development tools. You actively use AI assistants (Cursor, Copilot, Claude, ChatGPT, or similar) in your daily engineering work. Not tentatively, but as a primary tool for writing, reviewing, and iterating on code. You understand their strengths and limitations, and you use them to move faster without sacrificing quality. - Orbital mechanics background. Experience with TLEs, SGP4 propagation, pass prediction, incidence and squint geometry, and access window computation. Familiarity with tools like Skyfield, GMAT, or STK. This is valuable but learnable on the job. - Geospatial engineering. GeoJSON, CZML, WGS84, map projections, coverage polygons, and ground footprints. Experience building systems that process and render geospatial data. - Space, defence, or intelligence sector experience. You have worked in an environment where users depend on the software you build, where the physics constrains what is possible, and where the quality of your work has direct operational consequences. You understand what a tasking workflow looks like from a user perspective. APPLICATION PROCESS • TA Partner Screen Call • Hiring Manager Interview • Technical Interview • Values & Fit Interview • SVP of Engineering Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. • Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. • See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. • Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. • Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. • Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

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: 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 .

Location: Paris Workplace: OnSite ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 1000+ employees, 8 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps like BeReal and Wizz.   TEAM Our Growth team is a transversal entity aiming to maximize and deliver the potential of any mobile product. It combines user acquisition, creative content production, monetization, and the tech capabilities required to turn applications into global hits. With over 150 experts, we operate at the forefront of mobile marketing and ad tech across various types of games and consumer apps.   ROLE Voodoo is looking for a Playable Ads Chapter Lead to sit in the Central Growth Team. In this role, you'll lead key initiatives developed by our playable ads team, while staying hands-on with production and driving innovation in our playable ad formats across games.   KEY TASKS - Lead and coach a team of playable ads developers/strategists embedded within franchise-dedicated squads, ensuring high autonomy and strong performance - Stay hands-on with playable ad production, contributing directly to the creation and iteration of high-quality playable creatives - Oversee operational topics for the playable team, including workflows, tooling, and best practices - Drive innovation in playable ad formats, constantly exploring new mechanics, interactions, and creative concepts to stay ahead of market trends - Collaborate closely with the Growth Manager and creative strategists to align on priorities and franchise-level objectives - Benchmark competitor playable ads and analyze performance data to improve production quality and effectiveness - Act as a technical and/or strategic reference for the team, providing guidance on both development and marketing performance topics - Support the rollout of playable ads across multiple game franchises, adapting formats to each title's creative strategy - Contribute to defining and evolving the playable ads chapter's vision, standards, and processes PROFILE - 4+ years of experience in playable ad or game development - Hands-on, maker mindset - you're comfortable getting into production yourself while also stepping back to coordinate - Experience with relevant playable ads development tools or frameworks Unity (Luna), Cocos Creator or other relevant platforms - Knowledge of object-oriented programming and web game development - Hands-on experience with AI-assisted development (Claude Code, Codex, Cursor) and asset generation (Scenario, Flux, ElevenLabs) - Solid understanding of mobile marketing performance metrics and creative testing - Proven ability to mentor and coach peers - You have entrepreneurial mindset and can adapt to a high-paced environment - You can demonstrate excellent teamwork and collaboration skills - You are fluent in English (fluency in French is a plus)   BENEFITS - Competitive salary upon experience - Swile restaurant lunch voucher - Gymlib sports subscription (100% taken in charge by us) - Sidecare healthcare coverage for your family - Child day care facilities (Les Petits Chaperons rouge) - Wellness activities in our Paris office - Full stack desk and computer equipment upon your request - Cooperate within a globally diverse team and a rich cross-cultural work environment

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: 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: 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.

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 a Safeguards Enforcement Analyst on the Child Safety team, you will be responsible for our child safety enforcement workflows, responsible for scaling, maintaining, and continuously improving the systems and processes we use to detect and respond to child sexual abuse material (CSAM) and child sexual exploitation material (CSEM) generated or facilitated through Anthropic's products. This is a deeply operational role. You will serve as the central point of contact for those who conduct content review, managing day-to-day workflows, quality assurance, and escalation processes to ensure reviews are accurate, consistent, and conducted with appropriate support structures in place. You will also work closely with internal Engineering, Policy, and Legal teams to scale detection systems and close enforcement gaps as the threat landscape evolves. This work is essential to Anthropic's mission. Child safety is one of our highest-priority harm areas, and the person in this role will have a direct and meaningful impact on protecting children from AI-facilitated exploitation and abuse. Important context for this role: In this position you will regularly be exposed to and engage with explicit content of a sexual nature involving minors, as well as content that may be violent or psychologically disturbing. Anthropic takes the wellbeing of team members working in this area seriously and provides access to wellness resources and support. Candidates should carefully consider this aspect of the role before applying. Key responsibilities Own the day-to-day operational management of child safety content review workflows, including task routing, queue management, escalation handling, and SLA monitoring Serve as the primary point of contact for review partners conducting child safety content review, including onboarding, training, quality assurance, and ongoing relationship management Design and improve enforcement workflows to scale effectively as volume grows, while maintaining high accuracy and consistency across review decisions Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for CSAM, CSEM, and related child safety policy violations Review novel or ambiguous flagged content to drive enforcement decisions and surface policy gaps to the Safeguards policy design team Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate and consistent enforcement at scale Keep up to date with emerging AI policy enforcement best practices, evolving legal frameworks, and developments in child safety technology, and use these to inform our workflows Identify and report trends in misuse patterns to internal stakeholders, including Policy, Legal, and Trust & Safety leadership Coordinate reporting obligations to relevant external bodies (e.g., NCMEC) in accordance with applicable law and Anthropic policy Minimum qualifications Experience in trust & safety, content moderation operations, or policy enforcement with direct exposure to child safety, CSAM/CSEM, or related child protection harm areas Experience managing or coordinating content review operations, including quality assurance and workflow management Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to monitor workflow health, review queue metrics, and surface enforcement trends Experience identifying emerging risks and communicating findings to cross-functional stakeholders, such as Product, Policy, Engineering, and Legal teams Understanding of the challenges involved in implementing product policies at scale in the content moderation space Preferred qualifications Deep subject matter expertise in child safety, child sexual exploitation and abuse (CSEA), or online child protection, including familiarity with CSAM/CSEM classification standards (e.g., COPINE, SAM scale) Experience working with or reporting to NCMEC, IWF, or equivalent child safety reporting bodies Familiarity with relevant legal and regulatory frameworks, including CSAM reporting obligations, KOSA, COPPA, or equivalent international frameworks Experience working with generative AI products, including an understanding of how AI systems can be misused to generate or facilitate CSEA Experience designing or evaluating trauma-informed support structures and wellness protocols for content reviewers working with harmful material Proficiency in Python for workflow automation or data analysis Experience working with hash-matching technologies (e.g., PhotoDNA, CSAI Match) or perceptual hashing tools used in CSAM detection Familiarity with age assurance technologies and their role in child safety enforcement Experience in a trust & safety role at a technology company, with an understanding of how platform policy intersects with child protection obligations 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 a Safeguards Enforcement Analyst on the user well-being team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be on how Anthropic handles age. A core part of this work is making sure our consumer products reach the right audiences, including the detection signals, verification paths, and appeals workflows that keep underage users off surfaces not designed for them. Claude also reaches younger users through third-party developers building on our API, and you'll be the enforcement partner that sales and platform teams rely on when those customers need guidance on deploying age-appropriately. This position may expand into broader areas of user well-being enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems Review flagged content to drive enforcement and policy improvements Enforce usage policies with a focus on detecting and mitigating potential harmful use of AI systems Work with Legal, Public Policy, and Privacy stakeholders to keep our age assurance approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Responsible for Anthropic's layered age assurance approach - self-declaration, behavioral signals, verification, and ban appeals - to keep our first-party consumer products safe Adjacent user well-being enforcement where age is a key factor in how policy is applied such as sexual content and illicit substances Minimum qualifications Experience in trust and safety, online child safety, age assurance, privacy, product policy, or a related field Subject matter expertise in one or more of: age assurance or age verification systems, age-appropriate design, child online safety, privacy-preserving verification methods, or content classification for young people Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together Experience navigating evolving regulatory landscapes and enforcement best practices with regards to age assurance (including frameworks like the UK AADC, COPPA, and the DSA), CSAM/CSEM, NCII, and digital well-being A thoughtful perspective on the privacy/safety tradeoffs inherent in age verification — including when less invasive approaches are the right call Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders Comfort using data (SQL or similar tools) to measure what's working and inform decisions Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications Experience building or operating age-gating flows, age estimation signals, underage account detection, or appeals workflows Experience advising or partnering with third-party platforms on deploying safely to younger users Experience working with or evaluating third-party age verification providers A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context 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 a Safeguards Analyst focusing on Integrity & Authenticity, you will be responsible for building and executing enforcement workflows for our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for coordinated inauthentic behavior, election manipulation, and targeting, tracking, and surveillance of individuals. Your work will span a broad and interconnected set of harm areas: AI-enabled influence operations and disinformation campaigns, the abuse of AI to interfere with electoral processes, and the use of AI systems to facilitate stalking, surveillance, profiling, and the targeting of individuals or groups. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a political, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays, particularly around major electoral events. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems Review flagged content to drive enforcement and policy improvements Enforce usage policies with a focus on detecting and mitigating AI-enabled influence operations, coordinated inauthentic behavior, election interference, and targeting, tracking, or surveillance of individuals and groups Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, evolving threat actor tactics, and the regulatory landscape around elections, privacy, and surveillance, using these to inform our decision-making and workflows Minimum qualifications Experience in trust & safety, policy enforcement, threat intelligence, or a closely related field with a focus on one or more of: influence operations, disinformation, coordinated inauthentic behavior, election integrity, or privacy and surveillance harms Experience standing up and scaling policy enforcement or content review workflows Proficiency in SQL and/or other data analysis tools to draw insights from large datasets Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Preferred qualifications Experience conducting cross-platform investigations into influence operations, coordinated inauthentic behavior, or disinformation campaigns Familiarity with open-source intelligence (OSINT) techniques and tools used for threat actor tracking and network analysis Working knowledge of privacy law, surveillance technology, or data broker ecosystems as they relate to targeting and tracking harms Experience with large language models and an understanding of how AI technology could be misused to generate synthetic personas, fabricate quotes, or automate persuasion at scale Familiarity with election security frameworks, campaign finance law, or electoral integrity standards in one or more jurisdictions Experience navigating evolving regulatory landscapes relevant to this space (e.g., DSA, EU AI Act, FEC regulations, GDPR) Experience working with election bodies, civil society organizations, or government agencies on integrity or disinformation-related issues Proficiency in Python for data analysis and automation Experience with dark web monitoring or tracking threat actors across surface, deep, and dark web environments 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: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. About the Role We are looking for product-oriented backend engineers to join our Application Access (MCP) engineering team here at Teleport. You will be responsible for designing and implementing backend services and APIs that enable access controls auditing tools, audit logging, session recording summarization, and identity workflows in all aspects of Teleport. You will be involved in the entire product development cycle, from working with customers to understand security needs, to writing RFDs for your design ideas, to implementing distributed systems in Go. You will work very closely with engineers, product managers, and security researchers to design features that secure and monitor access to infrastructure at scale. You will play a key role in shaping how modern infrastructure access is secured, audited, and managed at scale.   What You'll Do - Building backend integrations https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Aaws with cloud provider's managed databases. - Working on scalability and resiliency https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Ascaleof clusters with 10K+ nodes. - Implementing advanced HTTPS proxy with identity aware access control. - Building hardened security https://github.com/gravitational/teleport/issues?q=is%3Aissue+is%3Aopen+label%3Asecurity for Linux and Mac users.   What We're Looking For - Go experience - Linux systems engineering - Web Fundamentals (cookie security, HTTP streaming and proxying) - OAuth experience Nice to Have: - Cryptography engineering experience is a plus How We Hire - You will join 30 minute intro call and we will walk you through the compensation, interview process and requirements - You will join a 30 minute call with the hiring manager, and we will walk you through the take home exercise and help answer questions - You join a Slack channel and submit a coding challenge https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md in Go using Github Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/