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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: London (UK), Lisbon (Portugal) About the role Cloudflare’s Engineers build and operate the software that helps power 25+ million Internet properties and millions of businesses around the world. Across our engineering organizations, we have opportunities for high caliber, curious and empathetic people to take on big challenges and build some of the best skills in the industry. We’re looking for talented team members to help build high-growth products, help scale our expanding network, build tools to improve availability, performance, uptime, and response times, and make systems failure-resistant and ready-to-scale. We are looking for a talented Systems Engineer to join the Security Rules team. You will work on a range of microservices written mainly in Rust. Technologies we use include Docker, Go, PostgreSQL, Redis, Memcached, gRPC, Kafka, Clickhouse and the usual Unix/Linux tools and workflows. We strive to build reliable, fault-tolerant systems that can operate at Cloudflare’s scale. You will join a team of bright, hard-working, and supportive engineers who are passionate about their craft, and you will be comfortable operating in a fast-paced but sane work environment. This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed. What you'll do Design, implement, and maintain the software systems that comprise Cloudflare’s Application Security Product Offering such as Rate Limiting, Web Application Firewall and more. Participate in all stages of the software development lifecycle, from designing and documenting systems to writing code, automated tests, and monitoring production deployments. Collaborate with internal teams, including security, network engineering, SRE, and product management, to design scalable solutions to difficult technical problems. Review work from your peers throughout all stages of the development lifecycle to ensure high-quality, maintainable code. Mentor team members and work with support teams to ensure customer delight and bring out the best in everyone. Debug issues in complex systems and contribute to the maintenance and improvement of operational health. Work with a wide range of technologies and programming languages, including Rust, Go, as well as various databases (SQL and No-SQL), Docker, and Kubernetes. Desirable Skills, Knowledge, and Experience: First and foremost curiosity and critical thinking 3+ years of relevant professional experience with a technology company Strong programming skills in Rust, Go, C++, or a similar systems-level language Experience building and operating distributed systems Experience with monitoring, alerting and debugging high volume production systems Experience with databases (we use PostgreSQL, Clickhouse and Memcached) Strong interpersonal and communication skills, demonstrating empathy, teamwork and a sense of ownership Bonus Points: Experience with modern Unix/Linux development and runtime environments Experience with monitoring and logging tools like Prometheus and Grafana. Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Compensation For Portugal based hires: Estimated annual salary is between €54,000 - €75,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. 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.

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. ABOUT THE ROLE Peec AI is building the data plane for AI visibility: millions of chats, scrapes, citations, sources, model responses, and customer-facing insights running through a fast-moving backend. This role is for an engineer who wants to own the systems behind that. You will not just add endpoints or close tickets. You will make our scraping, chat-processing, source-ingestion, and analytics infrastructure more reliable, cheaper, faster, and easier for the rest of the team to reason about. The best fit looks like someone who can debug a provider outage in the morning, design a better queueing model before lunch, ship a TypeScript service change in the afternoon, and write the postmortem or follow-up ticket clearly enough that the next engineer immediately knows what to do. We are especially interested in people who have built or operated systems with real constraints: rate limits, flaky third-party APIs, queues, webhooks, retries, distributed locks, data migrations, observability gaps, customer pressure, and cost ceilings. WHAT WE’RE LOOKING FOR - 5+ years of backend, platform, infrastructure, or distributed systems engineering experience in a production environment. - Deep hands-on TypeScript experience. We run TypeScript services on Bun, and we care about people who can design clean, reliable backend systems rather than only write application code. - Strong understanding of queues, workers, retries, rate limits, idempotency, distributed locks, webhooks, and failure handling. - Experience operating systems under real production pressure: incidents, provider outages, customer escalations, noisy alerts, slow dependencies, and incomplete data. - Comfort with cloud-native infrastructure. Our stack includes GCP, Kubernetes, Cloud Tasks, Pub/Sub, RabbitMQ, Redis, Postgres, Firestore, ClickHouse, Prometheus, Grafana, and OpenTelemetry. - Ability to debug across layers: application code, logs, metrics, queues, provider APIs, databases, network behaviour, and deployment state. - Product-minded judgement. You can separate internal detail from customer-safe explanation, and you understand when a “small infra change” has customer, security, or cost implications. - High ownership and low ego. We want people who take responsibility for ambiguous systems, ask sharp questions, and make the team better through clear thinking and kindness. - A bias toward durable fixes. You do not stop at “restart the pod” if the real issue is retry amplification, missing backpressure, an unsafe parser assumption, or a provider limit we do not model. TECH STACK - Languages: TypeScript, Python - Runtime/frameworks: Bun, Elysia, Node-compatible services - Cloud/infrastructure: GCP, Kubernetes, Cloud Tasks, Pub/Sub, Firebase/Firestore, Postgres, ClickHouse, Redis, RabbitMQ - Observability: Prometheus, Grafana, OpenTelemetry, structured logging - Product/data domain: LLM chats, AI search, source scraping, citation extraction, provider integrations, customer-facing analytics - AI/model providers: OpenAI, Anthropic/Claude, Perplexity, Gemini, Google AI Mode / AI Overview, plus scraping/provider APIs around them 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: Kampala, Uganda Who We Are! 🌍 Africa has the world’s youngest and fastest-growing population. By 2035, the continent is poised to contribute more young people to the global workforce each year than the rest of the world combined. At Educate! we're obsessed with impact. We leverage iterative learning to build highly scalable youth employment solutions aimed at unlocking the potential of the world’s youngest continent. Educate! prepares youth in Africa to learn, earn and thrive in today’s economy by: Introducing an employment-focused school subject into secondary and Delivering livelihood boot camps for out-of-school youth, with a focus on marginalized rural girls and young women. To date, more than 850,000+ young people have been meaningfully impacted across Uganda, Rwanda, Kenya, and Tanzania, driving positive outcomes on income, employment, gender equity, family planning and sexual and reproductive health, and educational attainment. Educate! is already East Africa’s largest employment and youth skills provider, and we’re on an exciting journey to impact millions more in the years ahead. Educate! is a team of over 300 largely African staff and 300 volunteer youth mentors. We prioritize building an engaging, fulfilling and growth oriented work environment. 50% of our top 30 leaders have been with us for over 5 years, 10+ alumni have started their own organizations, and 6 current or former team members were Acumen Fund East Africa fellows. We have been backed by top foundations such as Imaginable Futures , Livelihood Impact Fund ,  Jack Dorsey’s #startsmall , CIFF and Echidna Giving . Educate! won a 2018 Klaus J. Jacobs Prize and a 2015 WISE Award , and has been highlighted by the World Bank’s S4YE's Impact Portfolio , an Al Jazeera documentary , BBC , The Brookings Institution as one of 14 case studies on scaling education, and the Gates Foundation as a Goalkeepers Accelerator . In 2022, we received a catalytic investment from philanthropist Mackenzie Scott to scale our systems change work. Educate!'s long-term vision is to design solutions that measurably impact millions of youth across Africa each year. Good to note: To Our Awesome Applicants! 🚀💫 We know that incredible candidates sometimes hesitate to apply if they don’t meet every requirement. If this role excites you, we encourage you to apply! We’re looking for passionate individuals who believe in our mission and can bring unique perspectives to our team—not just those who check every box. We value diversity and strongly encourage women and individuals from all backgrounds to apply. Position Overview Educate!, the largest youth skills service provider in East Africa, is seeking a Senior QA Engineer to join our ambitious and cross-functional Technology team. We are looking for a quality-obsessed engineer who is passionate about ensuring our technology products deliver reliable, impactful experiences for the youth we serve. In this role, you’ll be the driving force behind quality across our products—partnering closely with the Product Owner to define what “done” looks like, owning hands-on QA review, and helping our engineering team build a culture where quality is everyone’s responsibility. You’ll establish QA standards from the ground up, evaluate and implement end-to-end testing tools, and embed automated testing into our development pipelines. This is a high-impact role on a growing Technology team. You’ll join a motivated, passionate, overachieving international team with a vision to design solutions that will impact millions of youth annually across Africa. You are the right fit for this role if you: Are passionate about building reliable, high-quality technology product Take ownership of quality and hold yourself and others to a high bar Are collaborative and thrive working closely with product and engineering stakeholders Have independently driven QA practices and testing strategy in a team Have a proactive mindset—you see gaps in quality and take initiative to address them What You’ll Do🌟 Review & Release Readiness Partner with the Product Owner to define acceptance criteria, validate feature completeness, and ensure releases meet quality standards before they reach the youth we serve. This is the primary focus of the role. Collaborate with the Product Owner to establish a shared definition of “done” for features and releases Perform hands-on exploratory, functional, and regression testing of new features and bug fixes Triage, document, and verify bugs throughout the sprint cycle Provide a final quality sign-off before code is deployed to production Communicate release readiness and surface risks to the team in a timely manner QA Standards & Strategy Define and document testing standards, methodologies, and quality benchmarks for the engineering team. Build the QA playbook so that quality is repeatable, scalable, and not dependent on tribal knowledge. Establish test plans, test case templates, and acceptance criteria standards Define severity and priority frameworks for bug classification Document QA processes and best practices for the team to follow Continuously improve QA processes based on retrospectives and release outcomes E2E Testing Tooling & Framework Selection Evaluate, recommend, and implement the right end-to-end testing tools and frameworks based on the team’s automation maturity, technical stack, and maintenance capacity. Research and compare E2E testing frameworks based on team needs and product requirements Assess the appropriate level of automation given the team’s size, velocity, and technical constraints Drive adoption of selected tools and provide guidance to engineers on writing E2E tests Own the E2E test suite and ensure it remains reliable, maintainable, and valuable Testing Infrastructure & Developer Accountability Support the integration of automated tests into CI/CD pipelines and hold the engineering team accountable for writing and maintaining their own unit and integration tests. Quality is a team effort—this function ensures it stays that way. Integrate automated test suites into CI/CD pipelines to run on every commit, PR, or deploy Define and track test coverage expectations for unit and integration tests Review test plans and advocate for testability in code reviews and architecture discussions Establish quality gates that prevent untested or undertested code from reaching production Develop quality assurance procedures in collaboration with the Product Owner and development team Who You Are 🦸‍♀️🦸‍♂️ Bachelor’s degree in Computer Science, Information Technology, or any other Technology-related course, and a minimum of 5 years of work experience in a QA or Software Quality Engineering role Strong hands-on experience with both manual and automated testing methodologies Experience evaluating and implementing E2E testing frameworks Familiarity with CI/CD tools and integrating automated tests into deployment pipelines Experience defining QA standards, test plans, and quality processes for a team Excellent collaboration and communication skills, particularly with product and engineering stakeholders Experience working with program delivery and data collection platforms such as USSD, SMS, WhatsApp, etc. is a plus Basic knowledge of project management tools such as JIRA or equivalent Experience working with a startup is a plus Fits our Five Culture Tenets (see What is Educate! About? below); Learn more by looking at Educate!’s culture deck here What We Offer A vibrant, mission-driven environment with a supportive and fun team. Competitive salary based on experience. Learning & growth opportunities Application Process : Rolling basis, interviews happening soon! Terms Location is based in Kampala, Uganda Our Culture & Tenets(Values) 🌱 We’re ambitious. Are you? Educate! is growing fast, so new opportunities are opening up and expanding all the time. We’re inspired by people with drive, and we love to help them reach their full potential. We expect everyone at Educate! to contribute above and beyond their job description, grow their skills, and advance their careers, and we are committed to supporting our staff members on that journey of their careers, and we are committed to supporting our staff members on that journey. We put Youth First, Impact-Obsessed - We are purpose-driven, focused on impact, and prioritize what truly matters. We listen to youth, design our efforts around their needs, and ensure every dollar creates transformative experiences they value. We Exceed Expectations - We take pride in going above and beyond to achieve the best results—proactively identifying problems and seeking solutions without waiting or stopping at what's requested. We Are Always Learning - We are committed to seeking and applying new knowledge and ideas. We stay open-minded and continuously try new things, experiment, grow, and improve. We invest in learning for ourselves and our teams. We are One Team, Many Views - We value all individuals, believe diverse ideas and open dialogue drive excellence, foster a supportive and respectful environment where everyone can freely express themselves. We work as one team and prioritize the organization's mission over personal or team interests. We have the Startup Mindset - We innovate relentlessly to grow our impact, we never think “we have arrived” or “we’re done.”We constantly challenge the status quo, embrace change, and move quickly toward our vision. Unafraid of failure, we question anything that hinders progress. Every person at Educate! — from interns to the executive director — is evaluated by how they live up to these five cultural tenets. They are at the core of how we achieve our mission and why we work as well as we do.  Educate is committed to providing an inclusive and welcoming environment for all who interact in our community. In creating this environment, we encourage people from a variety of cultures, backgrounds and life experiences to join our diverse team. We’re committed to ensuring all candidates are screened for child and youth safety . As part of the process, candidates must successfully complete our standard background verification and safeguarding review in accordance with local legal standards . Educate! reserves the right to withdraw an offer of employment if any screening results indicate potential risks to youth.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role As an Intermediate Backend Engineer, you will take backend features and improvements from clarifying the problem through shipping them and following up in production. You will work within a product area, partnering with Product Management, Frontend, Infrastructure, and Security to deliver predictably and contribute to the quality, security, performance, and maintainability of shared backend code and services. You will be trusted to work with minimal guidance, to know when to seek help, and to communicate clearly in a remote, asynchronous environment — with other tenured engineers alongside you to review your work, think through hard problems with you, and help you grow. Why you’ll love this role Ownership: You'll take features from requirements through delivery and follow-up; your code will run on a platform used by millions of users. Learning and Growth : You’ll work alongside your engineering team, who treat code review and design review as a learning loop rather than a gate — one of the fastest ways to grow your engineering judgment. Innovative Culture: You’ll use AI as a genuine part of daily engineering work, developing the judgment to know when to trust it and when not to. Autonomy: You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success. User-Centric Collaboration: You’ll partner closely with PMs and designers to shape requirements, so you understand why you’re building something, not just what. What you’ll do Own and Ship Features: Design, implement, test, and ship backend features and improvements with minimal guidance, working in Ruby/Rails, Go, or any other modern languages. Build for Production: Write maintainable, secure, observable, and performant code. Design and maintain APIs, background jobs, integrations, and bounded service functionality, and work with data models, migrations, indexes, and query behavior. Test and Review: Add and improve automated coverage — unit, integration, contract, and end-to-end where appropriate — and review others’ code for correctness, maintainability, security, performance, and operational risk. Operate What You Build: Investigate build, test, deployment, and runtime failures at the feature boundary, identify technical debt and propose practical improvements, and take part in on-call or operational support where your team’s ownership model requires it. Leverage AI: Use AI productively in daily work, validate what it produces, and understand where its limitations matter. On Call Support: Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Backend Fundamentals: Professional experience building and shipping production backend applications, with strong programming, API, database, testing, debugging, and performance fundamentals. Adaptability: Experience with Ruby/Rails, Go, or any other modern backend language. We value the ability to learn and adapt over mastery of a single language. Feature Ownership: The ability to take a feature from clarification through delivery and follow-up, working independently while seeking input at the right time. Practical Judgment: Sound instincts about security, reliability, performance, maintainability, and operational risk, plus an understanding of modular backend boundaries and the consequences of coupling. Clear Communication: Strong written communication and effective collaboration in a remote, asynchronous environment. AI Fluency: Practical experience with AI coding tools, including the ability to review and correct what they generate. Helpful experience Production Go services, APIs, concurrency, profiling, or gRPC. Docker, Kubernetes, Helm, CI/CD, or cloud deployment. Rust, particularly for systems, security, performance, or platform work. PostgreSQL, schema evolution, caching, queues, messaging, or event-driven workflows. Observability using metrics, logs, traces, dashboards, and alerts. Contributing to a modular monolith, bounded context, shared component, or independently operated service. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role As a Staff Backend Engineer, you will provide technical leadership across your team and adjacent teams, solving the highest-scope and most complex problems in your area. You will lead large, cross-cutting backend initiatives, drive our modular architecture strategy, and define the standards that let teams move faster without compromising quality, security, reliability, or operability. This is a technical leadership role that combines deep backend expertise, systems judgment, product judgment, and influence across organizational boundaries. You will work with Product, Frontend, Infrastructure, Security, Data, Engineering Managers, and engineers across product groups, bringing subject matter expertise, and you will do it without relying on formal authority. Why you’ll love this role Leverage: Your work multiplies across teams. The platforms, standards, and architectural decisions you lead determine how quickly everyone else can ship. Genuinely Hard Problems: You’ll lead the modernization of a large monolith toward modular, reusable, appropriately independent systems — at the scale of a platform used by millions of users. Influence Without Bureaucracy: You’ll shape technical direction across teams through clear written proposals and decision records, and partner with Product and Engineering leadership on platform roadmap and investment trade-offs. Frontier AI Work: You’ll lead adoption of AI-assisted and agentic engineering workflows and define the review, quality, security, and privacy guardrails that make them safe to rely on. Autonomy: You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success. What you’ll do Lead Cross-Cutting Initiatives: Lead the technical design and delivery of large backend initiatives that span teams, and identify and remove systemic bottlenecks across product and infrastructure groups. Own Architecture Strategy: Drive modular backend, service, data, and platform architecture. Lead modernization of the monolith and legacy backends toward modular, reusable, and appropriately independently operated systems — while preventing fragmentation and service sprawl. Set the Standards: Define and improve standards for APIs, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability — plus the build, test, deploy, release, rollback, and production-readiness practices needed to operate modular features safely. Establish Shared Patterns: Create the patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation. Establish Go service patterns and Kubernetes operating practices where they matter to our production estate, and guide Rust adoption where it solves a real systems, security, performance, or supply-chain problem. Own What You Build in Production: Take part in on-call and incident response for the systems your teams own, act as a technical escalation point during complex incidents, and turn what you learn into architectural and operational improvements that prevent recurrence. Influence and Partner: Shape technical direction across teams without formal authority, and partner with Product and Engineering leadership on platform-level roadmap decisions and investment trade-offs. Grow Engineers: Mentor Senior and Intermediate engineers, shepherd technical debt reduction and reusable patterns that improve throughput, and raise the technical capability of the wider team. Lead AI Adoption: Lead team-level adoption of AI-assisted and agentic workflows, including the quality, security, privacy, and operational guardrails, and help engineers direct, validate, reject, and course-correct agent output. On-Call Support: Take part in on-call or operational support where your team's ownership model requires it. What you’ll bring Cross-Team Technical Leadership: A sustained record of technical leadership across more than one team or a broad product area. Deep Architecture Experience: Deep backend architecture and production experience in complex applications, services, or platforms, including scaling or governing APIs, service platforms, data systems, modular monoliths, or shared backend components. Modularization in Production: Experience modernizing a monolith or legacy backend architecture in production, and with modular architecture such as bounded contexts, package encapsulation, ports and adapters, service extraction, event-driven boundaries, or an equivalent approach. Influence Without Authority: A strong ability to create alignment through clear written proposals and decision records, so decisions are documented, understood, and adopted without constant escalation. Product Judgment: The ability to balance customer outcomes, delivery speed, technical health, reliability, and long-term platform investment. Mentorship: Experience mentoring engineers and shaping standards through code review, documentation, and example. Agentic AI Leadership: Production experience with AI-assisted or agentic engineering workflows, including the ability to evaluate and improve how a team adopts them. Helpful experience Go services and APIs at scale. Kubernetes and cloud-native operations, including deployment, scaling, observability, rollback, and production readiness. Rust adoption or production ownership for systems, security, performance, or platform components. Ruby/Rails modularization and large-monolith modernization. PostgreSQL scaling, data partitioning, queues, messaging, or distributed systems. Security-sensitive product or software supply chain engineering. Experience across SaaS, single-tenant, self-managed, or air-gapped deployment constraints. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Temporal is used by a lot of companies in a wide variety of contexts. Many use Temporal Cloud. Many others users don’t yet know about Temporal Cloud, believe self-hosting is cheaper, and/or just don’t yet see a need to move. Still others (often happily using Temporal Cloud at large scale) also operate environments where a managed service isn't an option today and may never be, like: - AI and application companies embedding Temporal inside software their own customers run in isolated, air-gapped environments, or offering a remote management BYOA posture - Large enterprises keeping operational control of critical systems in-house by policy - Companies operating in sovereign clouds and similar contexts where legal or organizational requirements make outside management difficult or impossible This role owns understanding the world of Temporal usage outside Cloud, what the different contexts demand, and where Temporal should (and shouldn't) engage. That includes what we build, what we support, what we charge for, and what we leave alone. You'll shape which offerings we pursue and how they make money or contribute to the larger business. Then you'll take the ones we commit to through launch and adoption. Open source Temporal is central to this. We’re investing heavily in OSS, from performance improvements to easier management to clearer guidance on compatibility and cost. When companies write their apps on Temporal, they’re making a huge bet on us, and that trust is sacred. A large part of this role is improving and shepherding how we keep making OSS better. WHAT YOU’LL DO - Map usage outside Temporal Cloud. Build the company's clearest picture of where Temporal runs outside Cloud and why. Separate structural constraints (air gaps, regulation, owning operational risk) from cost, inertia, and/or other factors. Turn that into segments and use cases leadership can make decisions with. - Decide what we pursue. Recommend which needs deserve new offerings, which Temporal Cloud should cover, and which we deliberately leave alone. Write the case, defend it, and revisit it when the evidence changes. - Define the line between open source and paid. Set clear guidelines for which improvements and support go into open source Temporal, and where paid offerings take over. Keep the open source experience strong, and make the line easy for users and internal teams to understand. - Define the business model. Work with leadership, Sales, and Finance on packaging, pricing, and how we sell offerings that run outside our infrastructure. Know what customers will pay for and what it costs us to support it. - Help Cloud win where it should. Work with other PMs so workloads that can run on Cloud move there more easily, with a clear value and TCO case. - Lead without authority. Align Engineering, Resident Architects, Dev Success, Security, and go-to-market teams, including when their incentives conflict. - Own outcomes. Define success in terms of adoption, revenue, and retention. Use the results to steer further investment. WHAT YOU’LL BRING - A track record of setting product strategy, not only executing it. You've spotted a new offering or market, made the case for it, and seen it through to revenue. - Experience with infrastructure or platform products that customers operate themselves: open source, on-prem, or hybrid. - Commercial judgment. You can connect a customer problem to willingness to pay, pricing, and the cost of delivering and supporting the product. - Technical depth in distributed systems and operations: Kubernetes, databases, replication, upgrades, and failure recovery. You can go deep with engineers and turn the tradeoffs into product decisions. - Comfort saying "not this" and backing it with evidence. You change course when the facts change. - Clear writing. You can turn messy evidence from customers and the field into a recommendation leaders can act on. NICE TO HAVES - Experience making money from open source or open-core products - Familiarity with air-gapped, regulated (FedRAMP, sovereign cloud), or bring-your-own-cloud environments - Experience selling to platform teams at large enterprises or AI companies Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.   ABOUT THE ROLE We’re building a high-performance CI/CD execution platform similar to runners used by tools like Buildkite, GitHub Actions, and Blacksmith CI. Our platform executes developer pipelines reliably at scale, integrates deeply with source control, and automates build, test, and deployment workflows. In this role, you will design and build the distributed systems responsible for running CI/CD pipelines securely and efficiently. This includes orchestrating ephemeral compute environments, managing build isolation, scheduling jobs across fleets of workers, and ensuring reliability at scale. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions.   WHAT YOU’LL BE RESPONSIBLE FOR - Design and improve the core orchestration engine that manages the lifecycle of creating, merging, and rebasing Supabase Branches https://supabase.com/docs/guides/deployment/branching. - Provision ephemeral sandboxed execution environment on EKS / ECS for running untrusted build workloads from connected git repositories with securely managed secrets. - Implement job scheduling that scale to thousands of concurrent builds. - Optimize and reduce pipeline runtimes with caching, artifact storage, and dependency reuse. - Manage retry, timeout, cancellation, and failure-propagation logic to ensure pipelines behave predictably under failure conditions. - Instrument the full pipeline lifecycle with observability tooling to surface traces, metrics, and structured logs to the end user. - Develop configuration files (JSON / TOML) and integrations (Terraform / Pulumi) that allow teams to easily define, trigger, and inspect pipelines in code.   YOU MIGHT BE A GOOD FIT IF YOU - Have strong software engineering skills (Go and Typescript required); - Have 3+ years of experience building and operating cloud infrastructure or distributed systems at scale; - Have cloud Infrastructure knowledge - familiarity with AWS constructs is required, past experience using the AWS SDKs and IaC tools (Pulumi, Terraform, etc) to build and operate infrastructure is strongly preferred. - Have a production operations mindset - track record of building reliable, observable, and maintainable systems - Have an ownership mindset - you thrive in being able to operate independently with high-level guidance - Communicate clearly across both technical and non-technical audiences - Have experience in async or globally distributed teams - Are energized by solving real-world problems for developers - Are comfortable navigating ambiguity and moving quickly WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that keep our models from contributing to catastrophic harm. We are hiring a manager to lead the research engineering team responsible for biological safety: the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will lead a team of research scientists and engineers who design and run capability evaluations against frontier models, curate training data for our safety classifiers, train and iterate on those classifiers alongside our ML engineers, and measure how they hold up against adversarial pressure in production traffic. You will set the technical direction for that work, decide where the team invests, and own the results. This is a hands-on management role. Most of your time goes to growing and directing the team, but you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes, and represent the work credibly to Research, Product, and Policy partners. The core tension your team owns is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and your team is the one measuring it. Key responsibilities Manage, coach, and grow a team of research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance, and career development Set the technical direction and roadmap for the biological safety research agenda, and make the calls about what the team builds, what it deprioritizes, and when a safeguard is ready to ship Own the quality of capability evaluations that assess what new models can do in the biological domain, and turn results into deployment recommendations that leadership can act on Guide the development of training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Oversee the training and iteration of safety classifiers alongside ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Ensure the team invests in the tooling and pipelines that make evaluation and classifier development fast and repeatable Establish how the team measures classifier and eval performance against production traffic, identifies gaps, and prioritizes improvements Direct red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, Policy, and government affairs colleagues to embed biological safety throughout the model development lifecycle, and serve as an escalation point for biological content Represent the team's work in external communications including model cards, blog posts, and policy documents Track developments in biology, machine learning, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Experience managing a technical team, including hiring, coaching, and performance management A record of setting technical direction for a team and making prioritization calls under uncertainty Proficiency in Python, with a background in scientific programming and data analysis A solid grasp of ML fundamentals, sufficient to critically review evaluation design and classifier development Knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Clear analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Motivation to prevent misuse without obstructing the beneficial work that makes up the vast majority of this field Preferred qualifications 3+ years of people management experience, ideally leading research scientists, research engineers, or ML engineers Experience building a team or function from a small headcount, including defining scope, hiring the first few people, and establishing how the team works At least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production, and comfort reasoning about precision and recall for rare, high-consequence categories where the base rate is very low Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Experience leading complex technical projects across multiple stakeholder groups 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: $405,000 — $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: France The Company Our client is a progressive global plastic recycling business with three distinct divisions: (1) Plastic Recycling; (2) Recycled Supply Chain Management; and (3) Recycled & Waste Plastic Feedstock. Their expert global team combine impressive technical knowledge and capability with a passion for recycling and the circular economy. Our client is passionate about transforming waste into a valuable commodity, buying, selling and recycling scrap plastic. Since our client started on their journey in 2005, they have developed a worldwide presence, serving hundreds of customers in over 50 countries. They have grown a strong, talented team who are highly trained, dedicated and loyal. They are headquartered in Hong Kong with operations and representation in Australia, Finland, Ireland, Turkey, Spain, Netherlands & UK. They operate a factory based in the UK specialising in the collection and recycling of plastic waste generated from industry and manufacturing. Job Summary Your role will be to procure and sell recycled plastics, with a particular focus on PET (rPET). You will be working closely with local and global teams, communicating with colleagues across the world every day, a highly collaborative and entrepreneurial mindset are key to being a top performer. You will develop relationships with material suppliers & buyers, assess their capabilities for a fit with our client's strategy and market demands. Being able to manage ongoing negotiations, incoming new opportunities and customer development all at the same time makes this role suitable for a skilled business development executive who is results driven and uses time effectively. Success is achieved through a disciplined and consistent approach to building relationships, utilising the CRM and hunting for your own leads to keep a full pipeline of opportunities. The ideal candidate will thrive in a fast-moving environment, react quickly to changing priorities, be able to follow internal processes and proactively manage risk. An excellent communicator, you will demonstrate an optimistic and persistent approach, always open to giving and receiving feedback on performance. Challenges are seen as an opportunity to learn. This role is suited to an ambitious individual who is motivated, goal driven and wants to be part of a values driven organisation in a growth industry. Essential Duties & Responsibilities Business Development & Delivery Map the market and develop new suppliers & buyers from manufacturing (fibre, sheet & film), recycling & waste sectors. Assess client suitability against strategy, quality requirements & size of opportunity. Develop purchasing contracts for regular volumes of waste and recycled materials (particularly PET or rPET). Execute sales for scrap & recycled PET (rPET) sourced from our client's global locations to licensed manufacturers and recyclers. Actively seek out new opportunities and conduct market research through research, cold calling, networking, social media, attending conferences and trade fairs. Maximise margin by using effective negotiation techniques. Able to challenge customer views and counter objections to move towards closing a deal. Actively engage with the greater team to develop skills and share knowledge. Perform site visits to qualify, build relationships and discover market information. Develop and enhance relationships by being creative, innovative and offering excellent service that is responsive and tailored to client needs. Engage in constant and active risk management, to ensure the material is per the company and customer quality requirements. Reporting & Management Keep detailed logs in CRM of all activities constantly. Maintain accurate records of customer information in CRM, including material requirements. Provide feedback & market reports to Management. Use knowledge of competitors and market to develop our client’s unique selling propositions. Contribute to developing standard operating procedures to mitigate risk and ensure seamless workflow. Requirements Person Specification Knowledge (Education & Related Experience) At least 5 years’ experience in business development in raw materials supply. Experience in recycled plastic or prime PET an advantage, not a requirement. Experience of developing new accounts and long term contracts. Skills & Abilities Multilingual (fluent English is a requirement). Able to use logic and reasoning to appraise situations . Able to anticipate opportunities and risks. Able to build rapport quickly with colleagues and customers. Able to negotiate effectively with customers to maximise margins. Able to effectively collaborate with colleagues to achieve results. Able to manage and respond quickly to changing/competing priorities . Highly organized, able to independently plan own time. Able to follow internal procedure & policy (CRM, Admin, Trial Policies, Customer Onboarding). Able to present and clearly communicate information in speaking and writing. Able to ensure tasks are completed on time and to a high-standard. Able to use Excel, Outlook, Word and other MS Office products with high level of proficiency. Able to undertake effective research. General Attributes Non-Negotiables : Action oriented, Builds strong relationships, Curious, Driven to learn, Empathetic, Investigative, Reflective, Resilient, Resourceful, Seeks feedback, Trustworthy. Willing to take complete ownership of the role and drive success. Grit and determination. Persuasive with a ‘can do’ attitude. Self-aware and reflective on successes and failures. Not afraid to have challenging conversations. Understands that upfront effort prevents issues down the line. Committed to on-going personal and professional development. Values team above self.

Location: Poland The Company Our client is a progressive global plastic recycling business with three distinct divisions: (1) Plastic Recycling; (2) Recycled Supply Chain Management; and (3) Recycled & Waste Plastic Feedstock. Their expert global team combine impressive technical knowledge and capability with a passion for recycling and the circular economy. Our client is passionate about transforming waste into a valuable commodity, buying, selling and recycling scrap plastic. Since our client started on their journey in 2005, they have developed a worldwide presence, serving hundreds of customers in over 50 countries. They have grown a strong, talented team who are highly trained, dedicated and loyal. They are headquartered in Hong Kong with operations and representation in Australia, Finland, Ireland, Turkey, Spain, Netherlands & UK. They operate a factory based in the UK specialising in the collection and recycling of plastic waste generated from industry and manufacturing. Job Summary Your role will be to procure and sell recycled plastics, with a particular focus on PET (rPET). You will be working closely with local and global teams, communicating with colleagues across the world every day, a highly collaborative and entrepreneurial mindset are key to being a top performer. You will develop relationships with material suppliers & buyers, assess their capabilities for a fit with our client's strategy and market demands. Being able to manage ongoing negotiations, incoming new opportunities and customer development all at the same time makes this role suitable for a skilled business development executive who is results driven and uses time effectively. Success is achieved through a disciplined and consistent approach to building relationships, utilising the CRM and hunting for your own leads to keep a full pipeline of opportunities. The ideal candidate will thrive in a fast-moving environment, react quickly to changing priorities, be able to follow internal processes and proactively manage risk. An excellent communicator, you will demonstrate an optimistic and persistent approach, always open to giving and receiving feedback on performance. Challenges are seen as an opportunity to learn. This role is suited to an ambitious individual who is motivated, goal driven and wants to be part of a values driven organisation in a growth industry. Essential Duties & Responsibilities Business Development & Delivery Map the market and develop new suppliers & buyers from manufacturing (fibre, sheet & film), recycling & waste sectors. Assess client suitability against strategy, quality requirements & size of opportunity. Develop purchasing contracts for regular volumes of waste and recycled materials (particularly PET or rPET). Execute sales for scrap & recycled PET (rPET) sourced from our client's global locations to licensed manufacturers and recyclers. Actively seek out new opportunities and conduct market research through research, cold calling, networking, social media, attending conferences and trade fairs. Maximise margin by using effective negotiation techniques. Able to challenge customer views and counter objections to move towards closing a deal. Actively engage with the greater team to develop skills and share knowledge. Perform site visits to qualify, build relationships and discover market information. Develop and enhance relationships by being creative, innovative and offering excellent service that is responsive and tailored to client needs. Engage in constant and active risk management, to ensure the material is per the company and customer quality requirements. Reporting & Management Keep detailed logs in CRM of all activities constantly. Maintain accurate records of customer information in CRM, including material requirements. Provide feedback & market reports to Management. Use knowledge of competitors and market to develop our client’s unique selling propositions. Contribute to developing standard operating procedures to mitigate risk and ensure seamless workflow. Requirements Person Specification Knowledge (Education & Related Experience) At least 5 years’ experience in business development in raw materials supply. Experience in recycled plastic or prime PET an advantage, not a requirement. Experience of developing new accounts and long term contracts. Skills & Abilities Multilingual (fluent English is a requirement). Able to use logic and reasoning to appraise situations . Able to anticipate opportunities and risks. Able to build rapport quickly with colleagues and customers. Able to negotiate effectively with customers to maximise margins. Able to effectively collaborate with colleagues to achieve results. Able to manage and respond quickly to changing/competing priorities . Highly organized, able to independently plan own time. Able to follow internal procedure & policy (CRM, Admin, Trial Policies, Customer Onboarding). Able to present and clearly communicate information in speaking and writing. Able to ensure tasks are completed on time and to a high-standard. Able to use Excel, Outlook, Word and other MS Office products with high level of proficiency. Able to undertake effective research. General Attributes Non-Negotiables : Action oriented, Builds strong relationships, Curious, Driven to learn, Empathetic, Investigative, Reflective, Resilient, Resourceful, Seeks feedback, Trustworthy. Willing to take complete ownership of the role and drive success. Grit and determination. Persuasive with a ‘can do’ attitude. Self-aware and reflective on successes and failures. Not afraid to have challenging conversations. Understands that upfront effort prevents issues down the line. Committed to on-going personal and professional development. Values team above self.

Location: Remote (USA) Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding Agentic Engineer to join our team. Who you are You are a pragmatic, hands-on engineer who has built and shipped agentic AI systems into production. You understand that getting an agent to work is only part of the challenge. You know how to build systems that continue to work safely and reliably with real data, enterprise security requirements, and meaningful consequences when something goes wrong. You communicate clearly with clients and technical peers, make thoughtful architectural decisions, and are comfortable explaining why an agent behaved the way it did. You have strong software engineering fundamentals and the judgment to recognize when an agent is the right solution and when a simpler, deterministic approach is better. What you will be doing Work directly with clients to understand complex business problems and translate them into scalable, production-ready agentic AI solutions. Design and implement multi-step agent systems, including orchestration, tool and function calling, task decomposition, and, when appropriate, multi-agent coordination. Build integrations between agents and enterprise systems by exposing APIs as tools, implementing MCP servers, and developing structured tool contracts. Design evaluation frameworks, guardrails, grounding and citation checks, and human-in-the-loop workflows that identify and manage agent failures before they reach users. Instrument agent systems for traceability and observability, including agent actions, model behavior, token and cost usage, latency, and system performance. Design and maintain state and memory across long-running workflows and implement model routing, retries, idempotency, and other patterns required for reliable production systems. Build and deploy AI solutions using cloud platforms and services such as: Azure OpenAI, Azure AI Foundry, Azure AI Search, AKS, or related Azure technologies; Amazon Bedrock, Lambda, ECS, EKS, or related AWS technologies. Apply strong software engineering practices using Python, Java, APIs, containers, source control, automated testing, and CI/CD. Work directly with client engineering and security teams through architecture reviews, threat modeling, security reviews, audits, and other enterprise delivery requirements. Evaluate when agentic architectures are appropriate and when deterministic pipelines, traditional machine learning, or other approaches are more reliable and cost-effective. Turn successful approaches from client engagements into reusable patterns and solutions that can be applied across Zeal. Build trust with clients and internal teams through strong communication, technical judgment, problem-solving, and execution. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table We expect candidates to demonstrate a strong software engineering foundation, hands-on experience building agentic AI systems in production, and a keen interest in consulting. Agentic AI: Hands-on experience designing and shipping production agent systems involving tool and function calling, multi-step workflows, orchestration, task decomposition, or multi-agent architectures. You can explain the architectural decisions you made, what failed, and what you learned. Evaluation & Reliability: Real-world experience evaluating agent behavior and measuring system failures, including building evaluation harnesses, guardrails, grounding checks, human-in-the-loop controls, and other mechanisms that prevent or mitigate errors. Cloud Technologies: Deep hands-on experience with either Azure or AWS and the AI and infrastructure services surrounding them, such as Azure OpenAI, AI Foundry, AI Search, AKS, Amazon Bedrock, Lambda, ECS, or EKS. Software Engineering: Strong proficiency in Python or Java, API design, containers, automated testing, source control, and CI/CD, with enough machine learning knowledge to determine when traditional ML or deterministic approaches are more appropriate than an LLM. Enterprise Delivery: Experience delivering software within large organizations and working through requirements such as role-based access, data isolation, security reviews, compliance, change control, and production governance. Agent Observability: Experience designing systems for traceability, state and memory management, model routing, latency and cost visibility, retries, idempotency, and other operational concerns associated with production agent systems. Communication: Excellent verbal and written communication skills and the ability to explain complex AI systems, architectural decisions, risks, and tradeoffs to both technical and non-technical stakeholders. Problem-Solving: Strong technical judgment and a demonstrated willingness to challenge assumptions, including recognizing when an agentic solution introduces unnecessary complexity and a deterministic approach would be more appropriate. Experience with MCP and emerging tool-interoperability standards, evaluation frameworks such as RAGAS, fine-tuning, model distillation or optimization, and highly regulated industries such as financial services, insurance, healthcare, or manufacturing is helpful, but not required. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Compensation is $130,000 - $165,000 per year Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.

Location: Remote Workplace: Remote 🧠 ABOUT LEGION HEALTH At Legion Health, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale. Legion is building autonomous medical care, starting with psychiatry. Our AI-native care-delivery platform automates much of the administrative work required to deliver direct patient care, allowing our clinicians and patient-support teams to focus on the moments where human judgment and empathy matter most. Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us complete tens of thousands of visits in just two years while holding operations costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision is a 10X better patient experience that is higher quality, less expensive, and more scalable—and a 10X better clinician experience that frees providers to focus on what matters most: caring for patients. Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV. Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by clinicians, patient-support professionals, and AI working together. 📍 ROLE LOGISTICS - Job Type: Contract - Role Type: Patient Access / Patient Intake / Patient Experience Operations - Ideal Experience Level: 2+ years - Location: Fully Remote - Work Hours: 8-hour shift between 6:00 AM and 10:00 PM Central Time - US Visa Sponsorship: No 🚀 THE OPPORTUNITY Legion is hiring a detail-oriented, healthcare-fluent Medical Virtual Assistant to support patients during the earliest and most important parts of their care journey. You will help ensure that every prospective and newly booked patient is contacted quickly, welcomed warmly, prepared clearly, and routed correctly before their first visit. You will work across phone calls, patient messages, scheduling systems, intake documentation, insurance workflows, and internal coordination to prevent patients from becoming confused, delayed, or lost in the process. This is not a traditional administrative-assistant role. You will be a frontline operator responsible for helping real patients navigate a complex healthcare experience. Patients may contact us when they are anxious, frustrated, missing documentation, experiencing scheduling problems, or unsure what to do next. You must be able to communicate calmly, clearly, accurately, and empathetically while keeping each patient moving toward care. Excellent spoken and written English is essential. You will communicate directly with U.S.-based patients every day, document conversations for clinical and operations teams, and explain complicated logistical requirements in simple language without sounding robotic or dismissive. We strongly prefer candidates with pharmacy, medical, nursing, behavioral-health, or other formal healthcare training outside the United States. This is a strictly non-clinical position: you will not diagnose patients, provide medical advice, recommend treatment, or practice under any medical or pharmacy license. Clinical fluency is valuable because it will help you understand patient needs, recognize sensitive issues, gather the right information, and escalate questions to the appropriate clinical team. A meaningful part of the role may involve helping patients prepare for ADHD-related care. You should be comfortable learning detailed protocols, explaining documentation and release-of-information requirements, coordinating next steps, and helping patients feel prepared while remaining firmly within a non-clinical scope. The right person is warm with patients, precise with documentation, reliable under pressure, and energized by the opportunity to improve the systems behind a rapidly growing mental-health practice. ✅ RESPONSIBILITIES AND DELIVERABLES - Respond quickly to new leads and booked patients across phone, messaging, and internal systems. - Provide every patient with a warm, professional welcome and a clear explanation of what to expect before their first appointment. - Communicate with patients clearly, accurately, and empathetically in both spoken and written English. - Explain scheduling, intake, paperwork, insurance, and appointment-preparation requirements in simple, patient-friendly language. - Support appointment booking, rescheduling, intake completion, paperwork follow-up, and patient onboarding. - Monitor patients with incomplete intake forms, missing documentation, scheduling conflicts, insurance questions, pharmacy-related questions, or other barriers to care. - Manage patient-access workflows across self-service signups, referrals, Zocdoc leads, and other inbound channels. - Support ADHD-related intake preparation, including documentation requirements, release-of-information steps, and appointment expectations. - Help patients complete required logistical steps without providing clinical advice or making treatment recommendations. - Identify prescription, refill, prior-authorization, medication, safety, and clinical questions and escalate them promptly to the appropriate team. - Accurately document every material patient interaction so clinicians and teammates have complete, actionable context. - Maintain clear follow-up queues and ensure outstanding patient needs do not fall through the cracks. - Follow approved scripts, standard operating procedures, privacy requirements, and escalation protocols. - Partner closely with clinical, operations, billing, and patient-experience teams to resolve access barriers. - Maintain fast and consistent response times across assigned patient queues. - Identify recurring patient questions, delays, and workflow failures and share actionable feedback with operations, product, and clinical teams. - Help improve scripts, workflows, templates, and SOPs as Legion’s systems and care model evolve. - Maintain a reliable, high-speed internet connection and a quiet, professional environment for patient calls. - Protect patient privacy and handle sensitive information according to Legion’s policies and approved systems. - Consistently aim to deliver the best possible experience for patients and families. 🏆 YOU’LL BE SUCCESSFUL IF YOU… - Make patients feel welcomed, respected, and supported from their first interaction with Legion. - Communicate clearly and confidently with patients by phone and in writing. - Explain next steps simply without sounding robotic, confusing, rushed, or dismissive. - Help more patients complete intake requirements and arrive prepared for their appointments. - Follow up consistently so patients do not become stuck or disappear because of preventable operational barriers. - Produce accurate, concise documentation that tells teammates exactly what happened and what needs to happen next. - Remain calm and professional when patients are worried, frustrated, delayed, or confused. - Recognize when a question is outside your scope and escalate it promptly to the correct clinical or operational owner. - Manage a high volume of patient conversations without losing important details or missing follow-ups. - Learn Legion’s care model, ADHD-related workflows, provider processes, scripts, and escalation paths quickly. - Use SOPs consistently while identifying opportunities to make patient-access workflows faster and more reliable. - Reduce avoidable manual work through strong organization, reusable documentation, and thoughtful process improvements. - Earn the trust of patients, clinicians, and teammates through reliability, sound judgment, and excellent follow-through. 🧰 IDEAL BACKGROUND AND SKILLS - 2+ years of experience in healthcare operations, patient support, pharmacy support, medical administration, telehealth, healthcare call centers, or a similar role. - Exceptional spoken and written English communication skills. - Clear, warm, confident, and professional communication on patient phone calls. - Ability to explain detailed requirements in simple language while maintaining accuracy. - Strong patient-facing judgment, empathy, patience, and professionalism. - Excellent documentation skills and close attention to detail. - Strong organization and the ability to manage multiple active patient conversations and follow-up tasks. - Comfort working in a fast-paced startup where processes and responsibilities may evolve quickly. - Experience using systems such as Slack, Dialpad, Healthie, CRMs, EHRs, scheduling platforms, or similar tools. - Ability to work closely with clinical teams while respecting the boundaries of a non-clinical role. - Curiosity, initiative, and a willingness to learn the details of Legion’s care model and patient-access workflows. - Strong preference for candidates with formal healthcare education, training, or licensure outside the United States, including pharmacists, physicians, nurses, medical technologists, psychologists, or similar healthcare professionals. - Pharmacy experience is especially valuable, including familiarity with prescriptions, refills, prior authorizations, controlled-substance workflows, and medication-related patient questions. - Familiarity with behavioral health, psychiatry, ADHD care, telehealth, insurance, scheduling, referrals, or clinical documentation is strongly preferred. - Experience supporting U.S.-based patients or working within U.S. healthcare processes is a plus. - Availability to work consistently from 1:00 PM–9:30 PM Central Time. - A reliable computer, high-speed internet connection, professional call environment, and dependable remote-work setup. The most important qualifications are patient empathy, excellent communication, healthcare fluency, operational execution, accurate documentation, and reliable follow-through. ⚕️ NON-CLINICAL SCOPE This is a non-clinical patient-operations role. - You will not diagnose patients or assess medical conditions. - You will not provide medical or medication advice. - You will not recommend or make treatment decisions. - You will not interpret symptoms, laboratory results, or clinical records for patients. - You will not practice under a medical, nursing, pharmacy, or other healthcare license. - You will route clinical, medication, safety, and treatment questions to the appropriate licensed team member. Your responsibility is to support patient logistics, documentation, scheduling, coordination, and escalation so patients can receive timely, high-quality care from the appropriate clinical team. 💰 COMPENSATION & BENEFITS - Hourly Compensation: $5–$15 per hour, depending on experience - Work Hours: 8-hour shift between 6:00 AM and 10:00 PM Central Time - Work Setup: Fully remote - Impact: Help patients and families access mental-health care while contributing to a faster, more scalable healthcare system. - Autonomy and Learning: Develop deep experience across patient access, intake, telehealth operations, behavioral-health workflows, and AI-enabled care delivery. - Growth Opportunities: Take on increasing ownership across patient experience, access operations, workflow improvement, training, quality assurance, or team leadership as Legion scales. 🤝 EQUAL EMPLOYMENT OPPORTUNITY Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.

Location: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role Ondo is seeking a Senior Software Engineer to build and maintain the foundational infrastructure behind our real-time trading systems. You will work on the messaging, sequencing, APIs, and market data pipelines that support trading, market making, and hedging. This role centers on high-performance distributed systems engineering: designing low-latency messaging infrastructure using Aeron, building and evolving API layers such as FIX, WebSocket, and REST, and developing the sequencer and recovery mechanisms at the heart of the platform. You will solve deeply technical problems at the intersection of distributed systems, financial protocols, and infrastructure reliability. This is an opportunity to shape core trading infrastructure, make consequential architecture decisions, and own systems from initial design through production operation. Correctness, latency, and recoverability matter as much as throughput. Responsibilities Design, develop, and maintain high-performance platform services, including API gateways and the core libraries that trading services build on. Build and evolve Aeron-based messaging infrastructure for reliable, low-latency communication. Tackle distributed systems problems end to end: ordering and determinism guarantees, zero-downtime deployments, multi-region architectures, and crash-consistent recovery. Develop sequencing, persistence, and replay infrastructure that allows services to recover reliably and reproduce trading state. Work across engineering teams to meet the throughput and latency requirements of real-time trading workflows, including market data distribution at scale. Provide reusable service infrastructure for scalable, reliable, and cost-efficient trading systems. Own production reliability, including diagnosing failures, investigating latency spikes, and improving observability and operational tooling. Requirements 7+ years of backend engineering experience with deep proficiency in Rust, Go, C++, Java, or similar systems languages. Demonstrated ownership of large-scale distributed systems, from initial design through deployment, scaling, and long-term operations. Strong systems fundamentals: concurrency primitives, memory layout, I/O models, database design, network protocols, and the performance implications of each. Experience designing systems with stringent ordering, consistency, and durability guarantees, including their behavior during failures and recovery. Ability to own projects end to end: define the problem, design the solution, implement it, and see the rollout through to completion. A track record of leading technical decisions: navigating ambiguity, defining architecture, making meaningful trade-offs, and bringing a team along on the reasoning. Comfort working at multiple levels of abstraction, from API contract design to diagnosing latency spikes at the socket or disk layer. Nice to haves Experience with Aeron or comparable low-latency messaging frameworks, such as Chronicle, LMAX Disruptor, or ZeroMQ. Experience with sequencer design, write-ahead logging, event sourcing, or custom persistence engines. Hands-on experience building geo-distributed or multi-site systems with active-active replication and regional failover. Familiarity with FIX protocol (4.x/5.x), SBE, or other structured financial messaging formats. Background in trading infrastructure, market data systems, exchange connectivity, or other latency-sensitive financial platforms. Production experience with Rust and Go What we offer • Competitive compensation including salary, future token rights, and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation • Full benefits (medical, vision, and dental) and flexible vacation policy (PTO) • Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices • A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, Pinterest, McKinsey, Circle, Uniswap, Phantom • Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures

Location: Munich We are entering a new era of work — one where AI agents collaborate alongside people to plan, act, and deliver outcomes at a scale and speed that wasn't possible before. At Asana, we call this Agentic Work Management: the orchestration of humans and AI agents toward shared goals, with full clarity on who is responsible for what, every step of the way. As a Corporate Account Executive, you will be at the forefront of this shift. You won't just be selling software — you'll be helping DACH organisations understand and solve their most pressing work management challenges, and guiding them toward a future where their teams and AI agents move together with purpose and trust. This role is based in our Munich office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead with Discovery: Open every engagement with genuine curiosity to uncover hidden friction, misaligned priorities, and coordination failures that cost customers time, money, and trust. Surface Real Pain: Ask the questions that reveal deep operational challenges—not just the stated need—so that solutions you propose are anchored in what actually matters to the business. Map Stakeholder Motivations: Map stakeholder motivations from frontline teams to the C-suite, identifying where the greatest leverage lies for transformative change. Drive Customer Outcomes: Manage a portfolio of corporate customers with a relentless focus on measurable business impact and outcomes that your champions can proudly report upward. Expand Account Revenue: Hunt and develop new business within your book while deepening relationships across existing accounts, expanding usage into new teams and departments. Engage Executive Leadership: Engage executive and IT stakeholders to align on organisation-wide deployment of Asana, making it the connective tissue between human decision-making and AI-driven execution. Territory Strategy Execution: Design and execute a clear quarterly territory strategy aimed at revenue growth and long-term customer success. Build Trust in Collaboration: Help customers envision and confidently adopt a new way of working where AI agents are trusted teammates with clearly defined roles. Articulate Platform Value: Articulate how Asana's Agentic Work Management platform provides the structure, accountability, and transparency needed to make human-AI collaboration reliable and scalable. Champion Ownership Shifts: Champion the shift from activity-based work to outcome-based work, showing how clarity of ownership accelerates what organisations can achieve. Guide AI Adoption: Act as a credible, empathetic guide for customers who are excited about AI's potential but uncertain about where to start, building the safety needed to take bold steps forward. Orchestrate Internal Partnerships: Collaborate closely with Sales, Marketing, Solutions Engineering, and Customer Success to orchestrate seamless, high-value customer journeys. Pioneer Sales Innovation: Experiment with new approaches and share what works, scaling regional innovations globally. About you Consultative seller who leads with questions before answers, building long-term revenue on trust and customer success. Fluency in written and spoken German and English, communicating with precision and warmth in both. Proven ability to run a structured, repeatable sales process (e.g., MEDDPICC, Sandler, Challenger) with discipline from first call to close. Track record of building your own pipeline through proactive prospecting rather than relying on inbound leads. Deep skill in discovery, possessing the ability to listen past the surface, ask uncomfortable questions with care, and connect pain to possibility. Experience managing complex, multi-stakeholder corporate or enterprise sales cycles end-to-end. High emotional intelligence, building trust quickly, navigating ambiguity calmly, and treating every customer interaction as a long-term investment. Proactive, accountable, and outcome-oriented demeanor, setting clear goals and executing with rigour. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the On-Target Earnings (OTE) range is €150,000 – €190,000. The total OTE includes a base salary range of €82,500 – €104,500 and performance-based sales incentive pay (based on the terms of the Sales Incentive Plan). These ranges are a guideline; actual base salary and OTE may vary based on various factors, including market and individual qualifications objectively assessed during the interview process, and the ranges for this role may be modified. In addition, your compensation package may include additional components such as equity and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY THE OPPORTUNITY Apollo Research works with most frontier AI companies (OpenAI, Anthropic, Google, Meta, Thinking Machines and others) to test their models before deployment and collaborate on fundamental scheming research. Our coding agent security product, Watcher, is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprises.  We are looking for a security & control expert  to help us design better threat models and control protocols against AI adversaries, and improve the effectiveness and security of Watcher.  This is truly a "start-up role" in the sense that you have significant say in shaping the direction of the role. This is an individual contributor role but could lead to management responsibilities eventually, if desired. KEY RESPONSIBILITIES Threat modeling for coding agents Develop threat models for coding agents under the assumption that they could be misaligned or compromised. This includes near-term threats like AI agents leaking private internal data and long-term threats like agents sabotaging safety research. Treat coding agents through the lens of insider risk: they have credentials, access to code, network access, and the ability to execute arbitrary actions, just like a malicious insider would (see Control agenda ). Map out kill chains and attack progressions similar to frameworks like MITRE ATT&CK, adapted for agentic AI. See e.g. the Agentic Loss-of-Control Threat Matrix for an example of a high-quality contribution. Build and maintain our “coding agent security levels” which define what level of robustness Watcher provides against different categories of failure modes. These levels should be concrete, testable, and usable both internally (to guide product priorities) and externally (to communicate our security posture to customers). Failure mode library and literature Maintain our library of coding agent failure modes and keep it comprehensive, accurate, and current. Stay up to date with the academic and industry literature on coding agent security, AI security, and adjacent fields (prompt injection, deception, accidental security implications, supply chain attacks on AI systems, etc.). Attack design for monitor development Design realistic attack trajectories and example exploits for monitor development and backtesting, work with the research team to ensure monitors are trained and evaluated against credible adversarial behavior. Trajectory adjudication Serve as security adjudicator for flagged trajectories. When monitors flag ambiguous agent behavior, determine whether it represents a genuine attack, a benign-but-unusual workflow, or needs deeper investigation, and feed those judgments back into monitor improvement. Red-teaming Watcher Red-team and improve Watcher's monitors and policies, document findings, and feed them into product improvement. Work with the technical research staff to build adversarial test suites into the backtesting pipeline. *This role is distinct from the AI Security Researcher role on Apollo's Infra & Security team, which threat-models Apollo's own internal systems and the agents operating on them. REPRESENTATIVE PROJECTS Develop a comprehensive coding agent threat model: Think deeply about all the ways in which coding agents could attack an organization. Compare this threat model to conventional threats from human insiders. Publish a detailed research piece describing the threat model building on existing research, e.g. from Redwood Research. Improve our database of failure modes: We have an internal database of 50+ failure modes of coding agents with detailed reports for all of them. For this project, you would provide an expert view on the current state of that database and suggest improvements. In the long run, you would maintain that database and be responsible for integration of new failures. Prioritize failure modes that Watcher should cover: Different parts of Watcher attempt to cover different threat models and attack strategies. Based on the results of the threat model project above, we want to ensure that each part of Watcher covers the most important failure modes in the most efficient way. For example, not all monitors require blocking capability and some failure modes might benefit from additional affordances like being able to disperse subagents. JOB REQUIREMENTS Must-haves 5+ years in security roles in a hands-on technical capacity (not purely GRC/compliance). You need to be able to think structurally about threat modeling and failure modes. You need to be able to read code, understand infrastructure, and evaluate technical controls, not just write policies. Direct experience with security research, threat modeling, or offensive security. Comfortable working in a small, fast-moving team, and comfortable owning ambiguous, open-ended research questions. Strong written communication this role produces threat models, security levels, and failure mode documentation that need to be clear and precise Nice-to-haves Experience with AI/ML systems security, LLM security, or AI control research. The field is young enough that deep experience here is rare, but any exposure significantly reduces ramp-up time. Detection engineering, SOC, or incident analysis experience. A part of this role is judging whether flagged agent behavior is genuinely malicious, and people who have triaged real-world alerts might ramp much faster. Familiarity with insider threat programs or insider risk frameworks. The mental model of "the coding agent is a potentially malicious insider" is useful for this role and someone who has worked on insider threats will pick it up faster. Red teaming or offensive security background. Useful for the Watcher red-teaming responsibilities and for thinking adversarially about failure modes. Formal AI safety research background. Helpful but not necessary. We need security practitioners who can learn the AI safety context, not AI safety researchers who need to learn security. Explicitly not required Management experience. This is an IC role, at least initially. Specific certifications (CISSP, etc.). We care about demonstrated ability, not credentials. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $204,000 – $385,000; London : £136,000 – £258,000. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY    Join our new AGI safety product team and help transform AI control research into practical tools that directly reduce risks from AI. As an Research Scientist (Control), you’ll work closely with Marius (CEO & currently leads the monitoring efforts), other control researchers and product engineers.    We are currently building Watcher,  a monitoring tool for coding agents. Our monitoring research agenda attempts to translate compute into safety at scale. You will join a small team and will have significant ability to shape the team & tech, and have the ability to earn responsibility quickly.  You will like this opportunity if you're passionate about using empirical research to make AI systems safer in practice. You enjoy the challenge of translating theoretical AI risks into concrete detection mechanisms. You thrive on rapid iteration and learning from data. You want your research to directly impact real-world AI safety. KEY RESPONSIBILITIES TLDR: you will design & implement control protocols (see e.g. [Greenblatt et al, 2023] ) and test them on real-world production systems at scale. Research & Development Design and conduct experiments to test monitor effectiveness across different failure modes and agent behaviors Build and maintain evaluation frameworks to measure progress on monitoring capabilities Build and maintain high-quality datasets to train and test monitors on Iterate on monitoring approaches based on empirical results, balancing detection accuracy with computational efficiency Contribute newly discovered coding agent failure modes to Apollo's shared failure mode library (owned by the AI Security & Control Researcher/Engineer) as they surface during monitor design, evaluation, and iteration Stay current with research on AI safety, agent failures, and detection methodologies Stay current with research into coding security and safety vulnerabilities Fine-tuning & Monitor Development Fine-tune open-source models to create efficient monitors for high-volume production environments Design and build agentic monitoring systems that autonomously investigate logs to identify both known and novel failure modes Incorporate adversarial findings from red-teaming campaigns into monitor design and evaluation, closing the loop between attack and defense JOB REQUIREMENTS Must-haves 2+ years of experience conducting empirical research with large language models or AI systems Strong experience with AI coding agents. For example, having extensively used and compared frontier coding agents, or having designed / developed coding agents Experience with LLM-as-a-judge setups or AI monitoring more broadly Experience designing and running experiments, analyzing results, and iterating based on empirical findings e.g. prompting, scaffolding, agent design, fine-tuning, or RL Strong Python programming skills Demonstrated ability to work independently on open-ended research problems Good-to-haves Familiarity with AI safety concepts, particularly agent-related risks Familiarity with computer security, e.g. security testing and secure system design Experience fine-tuning language models or working with smaller open-source models Previous work building developer tools or monitoring systems Publications or contributions to AI safety or ML research Experience with production log systems or production log analysis We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply. REPRESENTATIVE PROJECTS Hierarchical monitoring for coding agent security : Design a multi-layer monitoring system for detecting security vulnerabilities introduced by coding agents. Start by cataloging common security failure modes (e.g., hardcoded credentials, SQL injection vulnerabilities, insecure API calls). Build specialized monitors for each category, then create a hierarchical system where fast, efficient first-pass monitors flag potentially problematic code for deeper investigation by more sophisticated monitors. Design a backtesting strategy for Watcher: Validate the system on synthetic test cases and real agent outputs, iterating to optimize the tradeoff between detection rates and false positives while maintaining low latency for most monitoring decisions. Fine-tune an open-source model to be a great monitor: Take an open-source model and fine-tune it on our large dataset of coding agent failures with high-quality ground truth labels. Test different fine-tuning techniques and measure generalization to our held-out data. Compare against prompted baselines on accuracy, cost and latency. The goal is to fine-tune models to lift the pareto frontier of monitors. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $204,000 – $385,000; London : £136,000 – £258,000. We will be looking to meaningfully raise salaries soon. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Flexible Workplace: Hybrid Job Title: Software Engineer Department: Engineering & Product Development Reports to: Engineering Lead Location: Flexible About Codex Codex is building the infrastructure for stablecoin-based cross-border payments — moving money faster, cheaper, and more transparently than the legacy financial system. Backed by Circle, Coinbase, Dragonfly, Wintermute, and Cumberland, we're a small team solving hard problems at the intersection of crypto and global payments.   The Role You'll own Codex's financial partner integrations end-to-end — from API contract and webhook design through to reconciliation and production hardening — and build the automation layer that makes our trading and treasury operations increasingly self-running. This is a high-ownership role at the infrastructure layer of the business. You'll be adding new payment rails, eliminating manual operational workflows, and designing systems that handle real money reliably across fiat and crypto rails. You'll work directly with the founders and Engineering & Product Development team, and closely with Compliance, Operations, and Financial Partnerships.   Responsibilities Financial Partner Integrations - Own integrations with banks, payment providers, and liquidity venues end-to-end — from API contract and webhook design through to production hardening and reconciliation - Build integrations that are robust to vendor reality: incomplete documentation, schema changes without warning, and validation rules that shift post-go-live - Build messaging / notification systems with signature verification and replay protection; pin schemas against real sandbox behaviour; design for failure at every layer - Maintain and evolve the reconciliation layer across all connected payment rails — fees, settlement windows, and exception handling as first-class concerns Operational Automation - Identify manual workflows in onboarding, compliance, and back-office operations and systematically replace them with product and automation - Enable self-service for internal ops teams and customers, reducing engineering dependency for routine operational tasks - Work closely with Compliance and Operations to understand where the friction is and build the tooling that removes it Treasury & Liquidity Automation - Design and build the automation layer for Codex's trading and treasury operations — automated position management, liquidity routing, and risk controls - Design for failure: clear handling of automated decision failures, position unwinding, and safe degradation Engineering Standards - Set and maintain the engineering standard for how payment integrations are built at Codex — idempotency, audit trails, fail-closed design, exact decimal arithmetic, and deterministic durable orchestration - Mentor engineers on the hard parts of money movement systems - Continuously design and build for security, hardening our systems - Ship and critically review AI-assisted code with the judgement to identify plausible but incorrect output or output detrimental to a product’s long-term health and sustainability What We're Looking For - 6 to 10+ years of backend engineering experience in cross-border payments, stablecoins, FX infrastructure, or crypto custody (Senior profiles are also considered favourably) - Production experience with both crypto rails (on-chain settlement on major networks like Ethereum, Tron and Solana; bridging major stablecoins; DeFi protocols) and fiat rails (SWIFT, SEPA, local schemes such as FPS or CHATS) - Must-have: Production experience with durable workflow orchestration — Temporal strongly preferred. Includes deterministic replay, safe versioning of live workflows, idempotency keys, and compensation logic - Must-have: Strong TypeScript/Node and Postgres in a money context — fail-closed design, exact decimal arithmetic, append-only audit trails - Must-have: Hands-on third-party API integration experience, including vendors with incomplete documentation, webhook reliability requirements, and schema instability

Location: Al Jubail, Saudi Arabia We are seeking an experienced Maintenance Mechanical Engineer to support maintenance activities within an industrial/petrochemical environment. Position Overview The Maintenance Mechanical Engineer will provide technical expertise in troubleshooting equipment failures, repairs, maintenance activities, and equipment reliability , while supporting maintenance teams, work packages, and plant operations. Key Responsibilities Act as a technical expert for equipment failures, repairs, and troubleshooting . Provide engineering support for plant issues affecting production. Evaluate defective equipment and recommend appropriate repair and corrective actions . Review repair requirements, including clearances, tolerances, materials of construction, welding procedures , and related technical requirements. Develop and maintain appropriate repair techniques and equipment-specific maintenance procedures . Support the review and identification of spare parts required for existing equipment. Contribute to maintenance strategies and maintenance operating discipline . Provide engineering input to projects, particularly regarding equipment maintainability . Support the development of maintenance budgets and maintenance plans. Provide engineering input to work packages and work orders , particularly for critical equipment. Support maintenance teams in troubleshooting and resolving equipment-related issues. Ensure maintenance activities comply with applicable EH&S, quality, and safety requirements . Work closely with maintenance, operations, engineering, and other relevant teams to maintain reliable plant operation. Requirements Bachelor's degree in Mechanical, Instrument, or Electrical Engineering . Strong experience in mechanical maintenance and troubleshooting within an industrial environment. Proven experience dealing with equipment failures, repairs, and corrective actions . Experience with maintenance planning, strategies, work orders, and work packages . Knowledge of equipment repair requirements, tolerances, clearances, materials, and maintenance procedures . Experience supporting critical equipment maintenance and reliability . Ability to provide technical guidance and engineering support to maintenance teams. Strong analytical, troubleshooting, communication, and problem-solving skills. Experience in Oil & Gas, Petrochemical, Refinery, or other process industries is preferred. The ideal candidate should be a hands-on mechanical maintenance professional with strong troubleshooting capability and experience supporting plant maintenance, rather than someone focused purely on design or project engineering.