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Location: Bangkok, Thailand Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Avaloq Developers to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. About the Role The successful candidates will be responsible for designing, developing, and implementing software changes within the Avaloq system through parameterization, while collaborating closely with business and technical stakeholders. Key Responsibilities Develop and customize functionality within Avaloq through parameterization. Translate business requirements into technical designs and implementations. Perform unit testing and ensure the quality of software modifications. Collaborate with business users to define project goals, map processes, and provide technical solutions. Support continuous improvement initiatives and contribute to knowledge sharing within the team. Minimum of 2 years’ experience in Avaloq development. Strong knowledge of Oracle databases and PL/SQL. Experience in requirements engineering and solution design. Excellent communication skills and proficiency in English. Knowledge of wealth management or investment banking products is an advantage. Avaloq Certification (ACCP) is a plus. Qualifications Bachelor’s degree (or equivalent) in Computer Science, Engineering, or a related field. Additional software or programming experience beyond Avaloq parameterization is considered beneficial. Why Join Us Exciting international projects: Work with global teams and clients in the fintech and banking domain. Professional growth: Gain hands-on experience in advanced Avaloq development and financial technology. Long-term opportunity: Initial 6-month contract with a strong likelihood of extension. Collaborative environment: Join a supportive, high-performing team that values innovation, efficiency, and knowledge sharing. Flexibility: Enjoy the benefits of a fully remote role while working in a dynamic, global setting.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Minimum qualifications Proficiency in Python and experience working in, debugging, and improving a large ML codebase Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it Experience with at least one modern ML framework (JAX, PyTorch, or similar) Ability to design controlled experiments and reach conclusions you and others can trust Ability to balance research exploration with engineering implementation Strong written and verbal communication skills Care about the societal impacts of your work and are committed to developing safe and beneficial systems Preferred qualifications Experience with reinforcement learning for large language models, in research, production, or both Experience studying training at scale: scaling behavior, training dynamics, or method development on large models Experience with large-scale distributed training systems Familiarity with LLM architectures and training methodologies Experience working close to a frontier training run Experience profiling and optimizing the performance of ML workloads Experience with RL environments, evaluations, or sandboxed code execution Experience with Rust or C++ Enjoy pair programming (we love to pair!) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit. In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization. As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high-impact business problems, join us in shaping the future of Reddit ads. What you’ll do Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance. Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform, auction, targeting, and full-funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI, User experience, and Reddit revenue. Drive end-to-end impact: Take end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks that power Reddit’s strategic investments. Establish scientific standards: Define and codify best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams. Technical deep dive & authority: Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale behavioral data, foundational models for strategic insights, and the economics of marketplace dynamics. Translate ambiguity into outcomes: Influence the design and definition of core business and performance metrics, robust measurement methodologies, and collaborate deeply with cross-org XFNs to align on strategic goals and translate insights into tangible action. Influence and uplevel the organization: Lead technically minded peers and mentor senior data scientists, influencing technical and statistical direction across the entire product and engineering organization, and championing innovation in ad systems through advanced quantitative techniques. Requirements Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale Master's or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline For M.S. holders: 12+ years of industry experience in applied science, data science, or machine learning engineering roles For Ph.D. holders: 8+ years of relevant experience applied science, data science, or machine learning engineering roles Advanced proficiency in statistical programming (Python or R) and SQL Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques Strong understanding of experimental design, causal inference, or A/B testing methodologies Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners Experience working in fast-paced, ambiguous environments with cross-functional teams Proven experience in influencing large (500+ engineers/data scientists) organizations on technical direction, statistical rigor, and machine learning best practice Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $268,000 — $365,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. We are looking for a Senior Engineer with deep agentic development experience and Java/Kotlin expertise to design and build the agentic backend layer powering Unlimit’s global financial platform. You will not just write backend services using your harness. You will design AI agents that generate, operate, validate, monitor, and evolve backend services. This role is for engineers who understand that the future of software is Human + AI co-creation, and soon — AI-to-AI collaboration. What You’ll Be Doing At Unlimit, agentic engineering is how we build software. AI agents are the primary execution layer of our engineering organization, while engineers provide the architecture, direction, constraints, and judgment that make autonomous development possible. You will orchestrate AI agents that design, implement, test, refactor, and maintain production-grade Java and Kotlin systems . Manual coding is not part of our engineering model – software implementation is performed by AI agents. Your deep expertise in Java, Kotlin, and backend engineering remains essential: you must understand architectural trade-offs, evaluate generated implementations, identify subtle defects, and ensure production-grade performance, security, and reliability. You will translate complex engineering challenges into agent-executable work, establish clear specifications and acceptance criteria, and coordinate parallel development workflows. You own the engineering decisions and outcomes, while agents execute the implementation. You will engineer the environment in which agents operate. This means building agent-native development workflows , maintaining machine-readable architecture and documentation, defining reusable skills and tools, and creating the context infrastructure that enables agents to navigate large codebases, make informed decisions, and execute complex tasks autonomously. Repositories, APIs, development environments, and engineering processes must be designed for machines as first-class participants. You will establish continuous, automated verification across the entire software lifecycle. AI-generated implementations must be validated through deterministic tests, architectural constraints, security controls, and regulatory requirements, including PCI DSS and financial compliance standards. You will design feedback loops where agents detect failures, investigate causes, correct implementations, and independently verify results, with appropriate human oversight for high-risk decisions. Your work will extend beyond development into agent-driven operations and production reliability . You will build systems that enable agents to understand runtime behavior, investigate incidents, identify performance bottlenecks, and propose or execute controlled remediation. Observability, operational tooling, and infrastructure will become interfaces through which intelligent systems safely interact with our global payment infrastructure. You will collaborate across engineering, platform, security, and data teams to build a coordinated ecosystem of specialized agents , sharing capabilities, context, and execution standards. You will continuously challenge traditional engineering practices, eliminate unnecessary human coordination and repetitive work, and push the boundaries of what a small team of exceptional engineers can deliver. Qualifications You Will Bring An agent-native engineering mindset. You see AI agents as the primary execution layer of software engineering, not coding assistants. You are comfortable working in an environment where manual coding is prohibited, and your value comes from architecture, specifications, orchestration, verification, and engineering judgment. Proven experience with autonomous agentic development. You have built production-oriented engineering workflows using Claude Code, OpenAI Codex, or comparable platforms, leveraging parallel agents, subagents, reusable skills, hooks, MCP servers, and automated execution pipelines. Mastery of specification-driven development (SDD). Practical experience with methodologies and frameworks such as GitHub Spec Kit, BMAD Method, or equivalent approaches that transform business requirements into structured specifications, executable plans, and independently verifiable agent tasks. You understand how to maintain alignment between requirements, architecture, implementation, and tests. Strong context engineering capabilities. You know how to structure repositories, engineering knowledge, agent instructions, and persistent context using mechanisms such as AGENTS.md, CLAUDE.md, reusable skills, and machine-readable documentation. You understand context-window management, progressive disclosure, retrieval strategies, context compaction, and long-running agent execution. Experience orchestrating multi-agent engineering workflows. You can decompose complex initiatives into parallel workstreams, coordinate specialized agents, manage dependencies and isolated execution environments, and establish reliable integration and verification processes. You understand when agent autonomy creates leverage and when additional orchestration introduces unnecessary complexity. Hands-on experience with frontier reasoning and coding models. You understand the capabilities and limitations of Claude, GPT/Codex, and comparable models, including model selection, reasoning effort, tool use, structured outputs, token economics, and cost-performance trade-offs across different engineering tasks. Expertise in agentic quality assurance and autonomous verification. You design deterministic quality gates combining automated testing, static analysis, architectural fitness functions, security scanning, and independent agent reviews. You understand test-driven development, adversarial validation, and iterative agent feedback loops, ensuring that generated software meets measurable acceptance criteria. Strong Java or Kotlin engineering expertise. At least 4 years of production experience with Java (Spring/Spring Boot) or Kotlin, including concurrency, performance optimization, database interactions, and application architecture. You can critically evaluate agent-generated implementations, recognize subtle defects, and enforce engineering standards without manually writing application code. Deep knowledge of distributed systems and financial-grade backend engineering. You understand scalable microservices, event-driven architectures, transactional consistency, fault tolerance, observability, and high-throughput, low-latency processing. Experience with payment systems, PCI DSS, and regulated financial infrastructure is a strong advantage. A security-first approach to autonomous engineering. You understand agent permissions, sandboxed execution, secrets management, supply-chain security, prompt injection risks, policy-as-code, and controlled deployment workflows. You can establish clear boundaries between autonomous execution and actions requiring human authorization. An engineering productivity and continuous improvement mindset. You measure agentic development by delivery quality, lead time, reliability, cost, and engineering throughput rather than generated code volume. You continuously experiment with emerging methodologies, evaluate new capabilities, and improve the autonomous engineering workflows used by your team. Strong communication and technical leadership skills. You can articulate complex architectural decisions, challenge assumptions, collaborate across engineering, product, security, and compliance, and take end-to-end ownership of outcomes in a globally distributed AI-native organization. Nice to have: Experience in fintech, payments, or banking systems. Experience working with AWS services and infrastructure. Familiarity with containerized deployments (Docker, Kubernetes) and CI/CD pipelines. Exposure to AI-enabled systems or interest in integrating intelligence into applications. Background in event-driven architectures and message-based systems (Kafka, RabbitMQ). Why This Role Exists: At Unlimit, autonomous engineering is our operating model. AI agents execute the software development lifecycle, while engineers architect, orchestrate, and own the outcomes. We are building a global financial platform designed for both humans and autonomous agents. If you want to: Engineer autonomous systems that build and evolve software Push the limits of specification-driven, multi-agent engineering Build financial infrastructure where AI agents are first-class participants Shape the next generation of AI-native fintech at global scale Then this is your role. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in at least one programming language such as Python, Java, etc. Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Montreal; Canada; Baku Workplace: remote ABOUT YOU   We are looking for a strategic and hands-on Software Development Director to lead our global software engineering function. You will drive the execution of high-impact technical initiatives and oversee multiple development teams delivering scalable, secure, and innovative products that serve millions of users worldwide.   The ideal candidate is an inspiring leader with deep technical acumen and a proven track record of managing distributed engineering teams. You understand how to balance speed with quality, coach engineering leaders, and foster a culture of accountability, innovation, and excellence.   If you're passionate about driving large-scale software development in a dynamic, product-led environment, and want to shape the future of a growing technology company, we’d love to hear from you.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Define and execute the engineering strategy in alignment with company objectives. Provide architectural and organizational guidance to ensure long-term scalability and success. Lead, mentor, and develop multiple engineering teams, including team leads and senior developers. Establish clear goals and create growth opportunities across a global, distributed team. Ensure high-quality, timely delivery of product and platform initiatives. Continuously optimize workflows, development methodologies, and technical decision-making. Guide the evolution of system architecture, ensuring scalability, performance, and maintainability. Champion the adoption of modern technologies and development practices. Partner closely with Product, QA, DevOps, and executive stakeholders to align priorities, define technical requirements, and maintain a shared roadmap. Identify and mitigate risks across the development lifecycle. Promote best practices in observability, security, testing, and release management. Foster a high-performance culture grounded in transparency, continuous improvement, and a shared commitment to quality and innovation. Qualifications & Skills: 10+ years of experience in software development, including 5+ years in engineering leadership roles. Proven success leading large-scale, cross-functional engineering teams in complex, high-growth environments. Strong expertise in modern architectures, cloud infrastructure (AWS, GCP, or Azure), and microservices. Deep understanding of Agile development methodologies, CI/CD practices, and engineering metrics. Experience managing distributed teams and scaling organizations across multiple geographies. Strong communication and stakeholder management skills, capable of interfacing with technical and non-technical leaders alike. Sharp decision-making and problem-solving ability in high-stakes environments. Fluent in English (written and verbal). Nice to Have: Experience in the gaming, fintech, or platform-as-a-service industries. Familiarity with payments infrastructure, user-facing APIs, or developer tools. Master's degree in Computer Science, Engineering, or related field. Certifications in cloud technologies, Agile practices, or technical leadership. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Software Development Director, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Bangalore Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: Wrike is seeking a highly adaptable Senior Product Manager to join our global product organization. As a strategic leader, you will own the end-to-end lifecycle of your product area, driving measurable business impact and solving complex problems for millions of users. We are looking for a versatile generalist who is comfortable tackling diverse challenges as business needs evolve, but who is ready to immediately dive into a high-impact, transformative domain: AI-driven Work Intake . Your Impact: Deliver Innovation: Validate and ship solutions that revolutionize how work flows into systems, saving customers time and boosting work quality for both administrators and end-users. Evolve Wrike's work intake experience through platform and agentic capabilities within your first 6 months. Drive Discovery & Vision: Deeply understand customer workflows and underlying business pains to uncover emerging needs. Paint a compelling product vision and propose pragmatic, innovative solutions — whether through advanced AI, platform capabilities, or a combination of both — that best solve the core problem. Adapt & Scale: Act as a flexible product leader capable of pivoting to new, critical product domains as our overarching business strategy evolves. Your Qualifications: 4+ years of hands-on experience in B2B SaaS Product Management, owning customer-facing digital products from ideation to launch. Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences. Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs. Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features. Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization. Advanced English language skills (written and spoken), with the ability to communicate complex concepts clearly to diverse stakeholders. Standout Qualities: Experience in the enterprise collaboration, project management, or work management domain. Proven experience building and delivering AI or LLM-driven product experiences to market. Demonstrated ability to balance the complex configuration needs of system administrators with a frictionless experience for end-users. Team Dynamics: You will operate within a core "Product Trio" model (Product, UX, and Engineering) to guide a tight-knit Scrum team of 6-8 engineers and QA to deliver the product innovations. You will partner heavily across the organization, pulling in expertise from specialized roles such as AI/ML engineers, Data Scientists, Product Analytics, and Go-to-Market teams to ensure successful launches. You will have direct access to enterprise customers and admins to conduct continuous research, test early prototypes, and validate hypotheses through tight feedback loops. The opportunity to operate at the bleeding edge of AI and work management, blending complex, enterprise-grade capabilities with modern, intelligent user experiences. Benefits & Perks: 10 days of National and Festival Holidays per year (eight fixed, two flexible) 18 days of paid vacation per year 14 days of sick leave with a medical certificate per year 5 uncertified sick days per year Group Medical Plan: Coverage for employees, spouse, children, and parents/in-laws for Rs 5,00,000. Free health checkup for employees Personal Accident Insurance: Rs 50,00,000 Term Life Insurance: Rs 50,00,000 Up to 26 weeks of paid maternity leave for the first two children 4 weeks of paid parental leave 2 days off for volunteering with nonprofit charities Broadband/Internet Reimbursement: INR 1500 per month Full-stocked pantry and complimentary lunch Hybrid work model What’s Next? Interview with a Recruiter Hiring Manager Interview Product Case Study / Technical Interview Cultural Fit Interview Final interview with Product Director Your recruitment buddy will be Tripti Sachan , Senior Recruiter. #LI-TS1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: New Cairo City, Egypt; Riyadh, Saudi Arabia; Delhi, India; Tallinn, Estonia Müller's Solutions is seeking a skilled Temenos Transact Functional Consultant to join our team to to play a pivotal role in the implementation, customization, and support of our Temenos Transact (formerly T24) core banking system. he ideal candidate will bridge the gap between business needs and technical solutions, ensuring the platform is configured to optimize banking operations. You will be responsible for analyzing business processes, gathering requirements, and delivering functional solutions that meet the highest standards of quality and efficiency. Responsibilities: Requirement Analysis & Solution Design: Collaborate with business stakeholders, product owners, and end-users to gather, analyze, and document business requirements. Functional Configuration: Configure and customize the Temenos Transact system to meet specific business needs across various modules (e.g., Retail Banking, Deposits, Lending, Payments, Treasury). Module Expertise: Provide deep functional expertise in key Temenos Transact domains such as: Retail & Corporate Banking: Account creation, Customer Information, Transactions. Debits: Savings, Current, and Term Deposit accounts. Customization & Development: Work closely with technical teams to specify and validate the development of customizations, including new fields, versions, menus, and routines using Temenos TAFC/TAFJ. Testing & Quality Assurance: Lead and participate in system testing cycles—including Unit Testing, SIT (System Integration Testing), and UAT (User Acceptance Testing)—to ensure solutions are fit for purpose. Implementation & Support: Support the end-to-end implementation lifecycle, including data migration, go-live, and post-production support. Troubleshoot and resolve functional issues. Training & Documentation: Create detailed functional specification documents, configuration guides, and user manuals. Conduct training sessions for end-users and key stakeholders. Best Practices: Advocate for and implement Temenos best practices and standards in all project phases. Requirements Requirements: Bachelor's degree in Finance, Information Technology, or a related field. Experience with Temenos Data Migration tools (e.g., TEMENOS Data Migration Studio). Familiarity with the TAFJ (Temenos Application Framework for Java) environment and ability to interact effectively with technical developers. A minimum of 5 years of experience with Temenos Transact or similar banking software solutions. Strong understanding of banking operations and financial services is essential. Experience with Temenos product configurations, functional specifications, and user documentation. Excellent analytical skills to understand and address client needs effectively. Strong communication and interpersonal skills to collaborate with clients and team members. Ability to manage multiple tasks and deliver results in a time-sensitive environment. Temenos certification or equivalent training is a plus. Bachelor’s degree in Finance, Business Administration, Computer Science, or a related field. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: New York City, NY; New York City, NY | Seattle, WA; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. We may also put up separate, team-specific job postings . In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings! You may be a good fit if you: Have significant software engineering experience Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems GPUs, Kubernetes, Pytorch, or OS internals Language modeling with transformers Reinforcement learning Large-scale ETL Representative projects: Optimizing the throughput of a new attention mechanism Comparing the compute efficiency of two Transformer variants Making a Wikipedia dataset in a format models can easily consume Scaling a distributed training job to thousands of GPUs Writing a design doc for fault tolerance strategies Creating an interactive visualization of attention between tokens in a language model The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Vilnius, Lithuania Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a AI Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Job Overview We are seeking a talented AI Engineer to maintain and enhance our existing AI-powered solutions built on Kafka, AWS, and Large Language Models (LLMs). You will play a critical role in ensuring the reliability, scalability, and performance of our systems while contributing to the development of new features to improve our platform. Key Responsibilities Maintain and optimize existing AI solutions built on Kafka, AWS, and LLMs. Monitor and troubleshoot data pipelines to ensure seamless data flow and system performance. Collaborate with cross-functional teams to integrate AI models into production environments. Enhance LLM-based features for natural language processing tasks such as text analysis and customer interaction automation. Implement and maintain scalable, secure, and cost-efficient solutions on AWS. Ensure high availability and fault tolerance of Kafka-based streaming data systems. Develop and maintain Python-based applications and scripts to support AI and data processing workflows. Contribute to the design and development of new AI-driven features to improve user experience. Stay updated on the latest advancements in AI, LLMs, and cloud technologies to propose innovative solutions. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of experience in AI engineering, data engineering, or a similar role. Strong proficiency with Apache Kafka for building and maintaining data streaming pipelines. Hands-on experience with AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS). Experience working with Large Language Models (LLMs) and NLP frameworks (e.g., Hugging Face, TensorFlow, PyTorch). Advanced proficiency in Python for developing AI models, data processing scripts, and automation tools. Familiarity with other programming languages (e.g., Java, Scala) is a plus. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and teamwork skills. Preferred Qualifications Experience with real-time data processing and event-driven architectures. Familiarity with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation). Previous work in the travel or fintech industry. Understanding of GDPR and data privacy regulations. What We Offer Competitive salary and benefits package. Opportunity to work with cutting-edge AI and cloud technologies. Flexible remote or hybrid work environment. Collaborative and innovative team culture. Professional growth and development opportunities.

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office.   WHAT YOU’LL DO - Take ownership of complex product features end-to-end - from architecture and data modeling to beautiful and performant user interfaces - Translate product ideas and designs into pixel-perfect, production-grade UI using modern frontend frameworks and component libraries - Work closely with Product, Design, and Engineering to define scope, shape technical direction, and deliver features that delight users - Contribute to and evolve both our backend infrastructure and frontend design system, ensuring consistency, scalability, and developer velocity - Push the boundaries of what’s possible across the stack - improving developer experience, introducing new capabilities, and driving innovation WHAT WE’RE LOOKING FOR - 5+ years of professional fullstack engineering experience - Deep expertise in TypeScript, React, Tailwind CSS and proven ability to deliver high-quality features across both frontend and backend - Strong architectural instincts and ability to design clean, maintainable, and scalable systems end-to-end - Experience designing and implementing APIs (REST, GraphQL, or gRPC) and integrating them seamlessly into polished user interfaces - Strong communication skills and a high sense of ownership - able to work autonomously while staying tightly aligned with team goals - Some markers of excellence, which could also be non-work related, like having a high FIDE rating - Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness   TECH STACK - Languages: TypeScript - Backend: GCP, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Elasticsearch - Frontend: React, shadcn/ui, Tailwind CSS - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - Active contributions to open-source projects - Deployed side/hobby projects that we can check out - Experience in starting a company or working at a top-tier high-growth startup   WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. WHAT YOU’LL DO - Take ownership of complex product features end-to-end - from architecture and data modeling to beautiful and performant user interfaces - Translate product ideas and designs into pixel-perfect, production-grade UI using modern frontend frameworks and component libraries - Work closely with Product, Design, and Engineering to define scope, shape technical direction, and deliver features that delight users - Contribute to and evolve both our backend infrastructure and frontend design system, ensuring consistency, scalability, and developer velocity - Push the boundaries of what’s possible across the stack - improving developer experience, introducing new capabilities, and driving innovation WHAT WE’RE LOOKING FOR - 5+ years of professional fullstack engineering experience - Deep expertise in TypeScript, React, Tailwind CSS and proven ability to deliver high-quality features across both frontend and backend - Strong architectural instincts and ability to design clean, maintainable, and scalable systems end-to-end - Experience designing and implementing APIs (REST, GraphQL, or gRPC) and integrating them seamlessly into polished user interfaces - Strong communication skills and a high sense of ownership - able to work autonomously while staying tightly aligned with team goals - Some markers of excellence, which could also be non-work related, like having a high FIDE rating - Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness TECH STACK - Languages: TypeScript - Backend: GCP, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Elasticsearch - Frontend: React, shadcn/ui, Tailwind CSS - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - Active contributions to open-source projects - Deployed side/hobby projects that we can check out - Experience in starting a company or working at a top-tier high-growth startup WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: Lisbon, Portugal Workplace: none David Kennedy Recruitment is working with a fast-growing customer experience company that is seeking to onboard Dutch-speaking Level 1 Technical Support Specialists to join their eMobility team in Lisbon. In this role, you provide first-line technical support to customers experiencing issues with electric vehicle charging stations, carrying out basic diagnostics, troubleshooting and escalation of more complex cases. Position: Technical Support Specialist Location: Lisbon, Portugal Model: Hybrid Employment type: Full-time DUTIES AND RESPONSIBILITIES: Respond to customer enquiries via phone, email and chat regarding EV charger functionality, connectivity and usage Perform initial diagnostics covering power status, network connectivity and user interface issues Guide customers through standard troubleshooting steps, including resets, cable inspections and mobile app configuration Escalate unresolved or complex issues to Tier 2 support or field service teams Document technical findings and customer interactions accurately in the ticketing system Prioritise cases according to SLAs, warranty status and issue severity Monitor recurring technical issues and contribute to trend analysis and product reliability improvements Maintain up-to-date knowledge of EV charger models, firmware updates and support procedures Contribute to knowledge management and continuous improvement initiatives Follow safety and operational standards during remote support interactions REQUIREMENTS: Native-level Dutch Proficiency in English Previous experience in a customer-facing technical support role, preferably in a call centre or eMobility environment Basic understanding of electrical systems, IoT devices and network troubleshooting, including Wi-Fi, Ethernet and SIM-based connectivity Ability to explain technical concepts clearly to non-technical users Experience using CRM and ticketing systems Comfortable working across different support channels, including voice, chat, email and back office Willingness to work in a 24/7 shift-based environment, including weekends and holidays Residence in the Lisbon area Availability to work in a hybrid setup OFFER: Meal allowance Monthly transport allowance 22 days of annual leave Birthday day off 1-month probation period Company-provided equipment Hybrid working model Evening and weekend shifts can be worked from home

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry Have proficiency in Python and experience building ML systems Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems Are worried about misuse risks of AI systems, and want to work to mitigate them Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with Language modeling and transformers Building classifiers, anomaly detection systems, or behavioral ML Adversarial machine learning or red-teaming Interpretability or probes Reinforcement learning High-performance, large-scale ML systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents. We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/ - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/ - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/ - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/ RESPONSIBILITIES - Build and maintain scalable infrastructure to support the deployment and operation of machine learning models. - Establish standards and best practices for reliability and performance across the infrastructure. - Automate processes when relevant, particularly for managing CI/CD pipelines. - Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution. - Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions. - Mentor junior team members and contribute to knowledge sharing within the organization. - Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity. - Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Extensive experience with Kubernetes. - Experience in building and maintaining scalable infrastructure. - Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins). - Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus. - Ability to own projects end-to-end, from project specification to execution. - No prior machine learning experience required, but should be open to learning about it. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. About the role We’re looking for a Senior Platform Engineer to own the reliability of our platform and how we deliver software. Our entire platform runs on AWS, spread across multiple regions and dozens of accounts, so strong AWS experience at this scale is the core of the role. You’ll set company-wide standards for CI/CD and GitOps, and run Kubernetes on AWS in production. You’ll also keep the platform available, observable and resilient under real payment traffic. You’ll work closely with the Security and engineering teams, and you’ll help bring AI-driven tooling into how we build and operate systems. What You'll Be Doing Platform reliability. Keep the platform available, resilient and fast. Take part in incident management and the on-call rotation, and run blameless post-incident reviews. Infrastructure. Design, build and run our multi-region, multi-account AWS landscape and the EKS clusters on it. Manage infrastructure as code with Terraform, and manage AWS resources from Kubernetes with AWS Controllers for Kubernetes (ACK). CI/CD and GitOps strategy. Define company-wide CI/CD standards and design reusable pipeline templates. Maintain pipelines across 20+ repositories, and roll out GitOps and progressive delivery (canary, blue/green) with Argo CD. Governance and guardrails. Build security and compliance guardrails into the platform and delivery pipelines, together with the Security team. Observability. Improve monitoring, logging and alerting with VictoriaMetrics, Grafana, Loki, Zabbix, Splunk and PagerDuty. Define SLOs, SLIs and error budgets for critical services. Toil reduction. Build internal tooling and self-service so engineers do less manual work. AI in operations. Find and adopt AI-driven tools for delivery and operations, such as failure prediction and automated root cause analysis. Documentation. Write and maintain configuration standards, runbooks and architecture designs. Qualifications You Bring Extensive, hands-on production experience with AWS. This is our most important requirement. You have designed and run real workloads on EKS, VPC networking, IAM, EC2, RDS, S3 and related services. Experience with GCP or Azure is welcome too, but strong AWS skills are what we need most for this role. Proven experience designing and operating multi-region and multi-account AWS environments. This is mandatory, not a nice-to-have. It includes AWS Organizations, cross-account IAM roles, Transit Gateway or VPC peering, cross-region replication and disaster recovery. 5+ years running production Linux systems, with at least 3 of those years on Kubernetes in production (Docker, Helm) 4+ years designing and running CI/CD at scale with GitLab, Jenkins or GitHub Actions Strong hands-on experience with GitOps and infrastructure-as-code: Argo CD, Terraform Experience managing AWS resources through Kubernetes with AWS Controllers for Kubernetes (ACK) Experience with observability at scale: custom metrics, instrumentation, log aggregation (Loki or similar) and alerting Scripting or programming skills in Python, Go or Bash Working knowledge of PostgreSQL, MongoDB, RabbitMQ, Nginx and Apache Understanding of distributed systems, and experience working in Agile (Scrum) teams Strong written and spoken English A real interest in AI tools and how they can improve engineering work Nice-to-Have: Experience with high-availability, high-volume web services (payments or fintech is a strong plus) Experience running infrastructure in regulated environments under PCI DSS, SOC 2 or ISO/IEC 27001, including taking part in audits and putting the required controls in place A track record of practising SRE with SLOs, SLIs and error budgets eBPF-based observability (Cilium, Hubble, Pixie or similar) Certifications such as AWS DevOps Engineer – Professional or CKA/CKAD A self-directed work style and a habit of automating away recurring work We offer: Attractive monthly salary paid in line with experience Vacation, sick, and paid holidays Flexible working hours Full-time: 5/2 Modern workplace with all necessary equipment A team of top international professionals to learn from Multicultural working environment Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Senior Product Operations Manager at Harvey, you will be the connective tissue between Product, Engineering, and Go-to-Market teams — turning strategy into execution across our entire product lifecycle. You'll build and scale the operating systems that help our product teams make better decisions, ship with confidence, and drive measurable impact for law firms and in-house legal teams pushing the frontier of AI adoption. You'll work as an extension of product leadership, balancing hands-on execution with strategic initiatives. This is a role for someone who builds from 0 to 1, thrives in ambiguity, and creates structure where none exists. WHAT YOU’LL DO - Inputs to Product Teams — Ensuring teams have the information they need to make great decisions - Build and maintain Voice of Customer systems that synthesize feedback from law firm partners, in-house clients, CSMs, and sales into actionable product signals - Establish rigorous mechanisms for measuring product success and user impact, including analytics dashboards, KPIs, and clear hypotheses - Create high-leverage engagement points with customers and partners throughout the product lifecycle — from alpha through post-GA - Streamline key decision points across teams, reducing friction and improving prioritization quality Ops of the Product Org — Creating the operating systems that enable product teams to thrive - Own and improve core product development processes, tooling, and team rituals (planning cycles, monthly reviews, roadmap prioritization, etc.) - Build reliable run-of-business systems that scale as Harvey grows — launch calendars, intake frameworks, RACI structures - Drive cross-functional alignment between Product, Engineering, Marketing, Sales, and Customer Success - Facilitate roadmap planning by coordinating stakeholder inputs and maintaining transparency across the org Outputs from Product Teams — Amplifying product impact by connecting what we build to those who need it - Design and run Early Access Programs and alpha testing programs that validate product-market fit and surface refinement signals before broad release - Own launch coordination end-to-end — ensuring timely, high-confidence rollouts with clear success metrics and post-launch monitoring - Maintain cross-team roadmap visibility that keeps GTM, Legal, and leadership aligned on what's shipping and why - Make it clear across Harvey what Product is building, how it's progressing, and what's coming next. WHAT YOU HAVE - 5+ years in Product Operations, Product Management, or a closely related operational role at a high growth tech or SaaS company - You've built processes and programs from scratch and scaled them thoughtfully — not just inherited and maintained them - Experience working with AI-native products, ideally in a domain where model quality and output reliability are central to the user experience - Strong ability to translate complex qualitative and quantitative data — usage metrics, feedback themes, retention signals — into clear recommendations and roadmap inputs - Proven ability to drive alignment across Product, GTM, and Engineering without direct authority - Hands-on experience with launch coordination, EAPs, or customer feedback loops in a fast-moving product environment - You're a natural bridge builder: fluent in strategy, comfortable in the weeds, and skilled at creating clarity where none exists. Ambiguity doesn't slow you down — it's where you do your best work. COMPENSATION RANGE $150,000 to $250,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US San Francisco, US New York City, US London, UK About the Role Cloudforce One is Cloudflare’s threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs).  Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expanding ever-growing sources of threat intelligence to enable expedited threat hunting and remediation.  Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the world’s largest global networks can provide.  The team is able to analyze these unique data points, at massive scale and efficiency, synthesizing findings into actionable threat intelligence to better protect our customers. As a Software Engineer on this team, you will own the entire software development lifecycle—from design and architecture to deployment and monitoring—for systems that serve both threat disruption and legal response efforts. You will be responsible for translating complex legal and security requirements into robust, scalable, and high-performance applications that have a direct impact on making the internet better, safer, and more powerful every day. Responsibilities While the majority of our services are now written in Golang and TypeScript, you will also work with technologies such as Rust, Kafka, Redis, Kubernetes, Terraform, Temporal and PostgresSQL. We also pride ourselves in dogfooding our own products and services so you will be extensively working with Cloudflare’s developer platform as well. We are looking for great engineers regardless of experience with any of these specific technologies. This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed. Design, build, run, and scale distributed tools and services that support both cyber threat disruption and platform abuse efforts. Develop critical data pipelines and services to collect, analyze, and expose threat intelligence data for Cloudforce One analysts and Cloudflare customers, helping to identify Tactics, Techniques, and Procedures (TTPs) and Indicators of Compromise (IOCs). Collaborate closely with Threat Intelligence, Trust & Safety, Legal, and Product teams to understand goals and translate complex technical requirements into elegant, scalable solutions. Improve system design and architecture to ensure stability, performance, and maintainability of both internal and customer-facing compliance and security services. Analyze, communicate, and help prioritize complex technical concepts across teams. Ongoing monitoring and maintenance of production services, including participation in on-call rotations. Mentor and guide other developers in the team, helping to build collective technical expertise and promote best practices for writing well-tested, modular, and reusable code. Desirable Skills, Knowledge, and Experience Experience with AI-assisted development and agentic AI workflows At least 5 years of experience building large-scale software applications, preferably distributed systems At least 3 years of experience working with Threat Intelligence or in support of a Threat Intelligence platform Experience designing and integrating RESTful APIs and/or gRPC services Knowledge of SQL and common relational database systems such as PostgreSQL Prior experience writing production ready code in Go and/or Typescript Familiarity with Rust Excellent debugging and optimization skills Expertise in writing well tested code Interest in opportunities to be a technical mentor for teammates Bonus Points Deep understanding of DNS, TLS/SSL and HTTP Expertise in web security issues and industry standards for access control Experience with Kafka Experience building web applications using React Experience with Kubernetes Experience with Redis Compensation Compensation may be adjusted depending on work location. For San Francisco based hires: Estimated annual salary of $157,000 - $216,000 For New York City based hires: Estimated annual salary of $150,000 - $206,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.