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Location: Metro Manila; Armenia; Kazakhstan; Georgia Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: This role requires relocation to Manila. We work in a hybrid format from our office in Bonifacio Global City (BGC). You'll own ML models across credit scoring, collection, and antifraud, turning data into systems that directly shape how Salmon lends and collects at scale. What you'll do: - You'll build and ship ML models across credit scoring, collection, antifraud, and sales — high-stakes, high-visibility work from day one. - You’ll work with teams across the business, including Risk, Anti-fraud, and Cross-sell - You'll take models from idea to production, then keep monitoring and improving them as real data comes in. What you'll own: - Own the end-to-end lifecycle of ML models — EDA, feature generation, hypothesis testing, production deployment, and monitoring. - Partner with Collection and Product to identify where a new or improved model would have the most leverage. - Evaluate model performance against business impact, and iterate based on what you find. - Explore and integrate new data sources, internal and external, to surface additional predictive signals. - Build models that are scalable, observable, and maintainable in production systems. What makes you a strong fit: - 2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments. - Solid foundation in classical ML techniques, fluent in Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Statsmodels, and gradient boosting libraries (XGBoost, LightGBM, CatBoost). - Strong Python and SQL, with experience using version control. - A strong sense of ownership and accountability. - Experience with graph neural networks or transformer models would be a plus. What we offer: Ownership and flexibility - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia

Location: Poland Company Background Our client is a fast-growing, multinational company in the sports tech and predictive gaming space, backed by leading investors and founders. The company operates fully remotely, with business operations in the U.S. and development teams across Europe. They foster a close-knit, respectful, and collaborative culture, placing strong emphasis on innovation, inclusivity, and user experience. The platform introduces a new approach to sports predictions by focusing on social engagement and entertainment, creating a community-driven experience that is fun, rewarding, and accessible to all sports fans. Project Description The project is a social sports gaming platform that offers free-to-play alternatives to traditional real-money sports betting. It allows sports fans to make predictions, compete for leaderboard positions, earn badges, build in-game status, and participate in sweepstakes promotions and loyalty rewards. The platform focuses on creating a fun, engaging, and community-driven sports gaming experience for users with different levels of interest in sports. Technologies Python, Django/FastAPI, asyncio Distributed systems, Microservices, Event-driven architecture Apache Kafka Docker, AWS (or other cloud providers) SQL, PostgreSQL CI/CD, Test automation Prometheus, Grafana What You'll Do Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement; Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django; Architect distributed systems to support millions of users with low latency and high availability; Own critical backend infrastructure components, including APIs, data pipelines, message brokers such as Kafka, and caching; Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load; Implement robust testing strategies, including unit, integration, and performance tests; Drive continuous improvement of development processes and system observability, including monitoring and logging; Collaborate with product, frontend, and DevOps teams to ship reliable features on aggressive timelines; Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing; Job Requirements 5+ years of experience in Python backend development; Solid experience with Django/FastApi and asynchronous programming using asyncio; Production experience with Apache Kafka; Strong experience with distributed systems, microservices, or similar architecture; Experience deploying and managing containerized applications using Docker; Familiarity with any cloud provider, preferably AWS; Proficiency with SQL databases, especially PostgreSQL; Experience with CI/CD pipelines and test automation; Knowledge of monitoring and logging tools such as Prometheus, Grafana, or equivalent; Strong problem-solving skills and experience with code reviews; Comfortable working in Agile teams; English level: B2 or higher; Nice To Have Experience with Kubernetes; Experience working with systems supporting 1M+ users; Experience with NoSQL databases; Exposure to event sourcing or CQRS patterns; Familiarity with frontend technologies such as React; Knowledge of big data tools such as Flink or NiFi; Exposure to infrastructure as code tools such as Terraform; Experience in the sports or betting industries; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. What you'll work on The single hardest role on the team. You'll own the entire optics and calibration stack — lens selection, image quality, intrinsics, extrinsics, ISP tuning, multi-camera alignment. End to end. Optics and sensor selection - Lens characterization (MTF, distortion, chromatic aberration) - Sensor variant evaluation and selection - Optical mount tolerance budget with the mechanical team - IR filter and lens shading correction approach Image quality and ISP tuning - AE, AWB, color matrix, gamma, lens shading correction - Multi-camera color and exposure consistency - Image quality validation in mixed real-world lighting Multi-stage calibration pipeline - Camera intrinsics and fisheye distortion modeling - Stereo and multi-camera extrinsics - Camera-IMU spatial and temporal calibration - Magnetometer calibration in the assembled stack Calibration infrastructure - Rig design and fixture builds (turntables, lighting, targets) - Calibration software pipeline - Automated verification and QA systems - Documentation for factory deployment Production and field calibration - Factory-floor calibration procedure - Per-unit calibration QA gating - Field calibration drift monitoring - Sensor / lens transition tooling Required technical experience - Hands-on multi-camera calibration (intrinsics, stereo, multi-rig) - Fisheye distortion modeling (Kannala-Brandt or equivalent) - IMU calibration: bias, alignment, Allan variance, temperature curves - Calibration tooling and infrastructure for production - Comfortable in both the optics lab and the calibration software stack Strong plus - OpenCV, Kalibr, or similar calibration frameworks - ISP tuning on Qualcomm, NXP, or Ambarella platforms - AR/VR, autonomous vehicle, or research-grade capture device background - Camera-IMU temporal alignment - Manufacturing calibration line experience - Uncertainty quantification and error analysis About this role Your work determines whether thousands of hours of captured data is usable. Bad calibration is silent — data passes acceptance and fails downstream model training months later. The candidate pool is small. We pay top of band.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Developer Platform product team and a strategic thought partner to its product leads. You’ll help set product direction for the Claude Developer Platform, spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You’ll bring a point of view on where to invest, how to grow our platform business, and how to deliver more value for the developers and enterprises building on Claude. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions. Responsibilities: Act as a strategic thought partner to Developer Platform product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Developer Platform, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing the platform, from how developers and enterprises adopt it to how AI agents are being built and deployed at scale, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Developer Platform measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters Set the standard for experimentation and causal inference across Developer Platform, including where API and B2B products make clean experiments hard, and personally lead the highest-stakes analyses Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners, including go-to-market teams Establish foundational data practices and shape the analytics infrastructure Developer Platform needs to support rapid iteration and decision-making as our products grow You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product area at significant scale Have 3+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product and business leaders on API or developer-facing products, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment for developer and B2B products, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem 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: $460,000 — $460,000 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: Beograd, Serbia Workplace: hybrid About The Role: Join Paysend’s Automation and Efficiency team to help build and improve backend systems that support global payment operations at scale. This role focuses on designing and developing high-performance backend services and internal tooling used to process and analyze millions of financial transactions daily. You’ll work across distributed systems and data-heavy workflows where reliability, performance, and correctness are critical. This is a strong fit for engineers who enjoy solving complex backend and data problems, working across multiple services, and building systems that operate under real-world scale and operational demands. What You'll Do (Responsibilities): Design, implement, and maintain backend services and internal tools in Java, powering the processing and analysis of millions of financial transactions daily Own and evolve PostgreSQL -based data models, queries, and performance optimization across multiple services. Build and improve systems that automate operational and transaction-monitoring workflows at scale Work within a distributed microservices ecosystem, handling service communication, dependencies, and evolving integrations Contribute to the design and implementation of a new fraud monitoring platform built on the company’s modern technology stack Investigate complex production and operational issues, identify bottlenecks, and implement long-term improvements Collaborate closely with QA and Analytics teams to ensure systems are reliable, scalable, and operationally effective Monitor and improve system performance, observability, reliability, and scalability across services Contribute to CI/CD and deployment automation improvements across engineering workflows What You’ll Need To Be Successful In This Role: 5+ years of backend development experience with Java and Spring Strong hands-on experience with PostgreSQL in production systems Experience working with distributed systems and microservices architectures Experience with major cloud platforms, preferably AWS or GCP Strong engineering mindset with the ability to solve unfamiliar and complex technical problems independently Comfortable working across multiple services and technical domains Strong ownership mentality from implementation through deployment and operational support Ability to adapt quickly to changing technical and business priorities Great to have: Experience with CI/CD pipelines and deployment automation (GitLab preferred) Experience with Docker or other containerization technologies Hands-on experience with C# or Rust Experience in fintech, payments, fraud detection, or other transaction-heavy systems Bachelor’s or Master’s degree in Computer Science or a related field Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: Tallinn, Estonia Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Backend Developer (.NET) to join our rapidly expanding team. Join a high-caliber team and contribute to its success with your passion, hard-work and positive attitude. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The Backend Developer (.NET) will have the opportunity to: Design, develop and support backend services with a focus on integrations with other systems, services. Support and improve our quality processes by developing automated unit tests and performing code reviews. Collaborate with internal/external teams throughout the integration process. Identify, correct bottlenecks and fix bugs. Help maintain code quality, organization, and automatization. Stay up to date with new technology trends, applications, and protocols. What do you need to succeed in this role? Degree in Computer Science, Engineering, or a related field. Good understanding of object-oriented programming and design patterns. 3+ years of software development experience, ideally in C#. Ability to assess, troubleshoot and debug integration issues. Good understanding of code versioning tools. Excellent analytical, and problem-solving skills. Proficient in English language with excellent written and verbal communication skills. It will be considered as a plus if you have: Experience working in cloud infrastructures like AWS or Azure. Understanding of CI/CD, unit testing, integration testing. Experience with Relational Database Management Systems. Experience within the financial markets Industry on a similar IT field. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Stebby Sports Compensation or Confido Health Compensation. Multiple events to bond with the team and the group. Birthday and Loyalty benefits . What to expect from our recruitment process: First interview with hiring managers or an HR call Test assessment Technical Interview or home assignment Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Kraków, Poland; Prague, Czechia; Athens, Greece; Lisbon, Portugal; Bucharest, Romania Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do: Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution Plan and design simple to semi-complex business processes and system modifications Make recommendations to improve and support business activities Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design Develop business requirements documents/user stories to support the required modifications May plan, allocate and monitor work of other business analysts Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills Assist in providing time estimates for project related tasks Aid in updating process and procedural documentation Develop basic understanding of technical development cycle of mobile application or web portals Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Any other task that may be assigned What We Need: Minimum 5 years of experience as Business Analyst A degree in Business, IT or any relevant field Previous experience working in the health insurance industry is required Insurtech experience is preferred Health Insurance-related domain certification from INS/LOMA or III is an added advantage Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes Experience in an Agile and/or Scrum environment is a must Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow Excellent written and verbal communication skills in English Technical writing skills is a plus Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Muscat, Oman Müller's Solutions is seeking a Senior BMC Helix IT Asset Management & Discovery Consultant to join our expert team. In this role, you will lead the implementation, configuration, and optimization of BMC Helix IT Asset Management and Discovery solutions for our clients. You will work closely with stakeholders to understand their asset management needs and deliver tailored solutions that enhance IT operations, asset visibility, and lifecycle management. Key Responsibilities: Lead the end-to-end implementation of BMC Helix IT Asset Management and Discovery modules. Configure and customize the BMC Helix platform to align with client requirements and industry best practices. Conduct assessments and workshops to gather business and technical requirements. Develop integration strategies to connect BMC Helix with other ITSM and enterprise systems. Provide expert guidance on IT asset lifecycle management, discovery processes, and data accuracy. Troubleshoot, resolve issues, and optimize performance of the BMC Helix solutions. Deliver training sessions and documentation to enable client teams to effectively use the platform. Stay current with BMC Helix product updates and IT asset management trends to continuously improve client solutions. Requirements Requirements: Bachelor’s degree in Computer Science, Information Technology, or related fields. Minimum 5 years' experience in IT Asset Management and Discovery implementation with hands-on expertise in BMC Helix IT Asset Management and Discovery modules, including asset discovery, CMDB integration, application dependency mapping, and infrastructure/network discovery. Ability to independently build, deploy, and configure containers on-premises (Docker, Kubernetes, OpenShift, Podman) and set up discovery infrastructure, scanners, probes, and collectors. Strong knowledge of IT asset management best practices, ITIL frameworks, and integrating BMC Helix with ITSM and enterprise systems. Proficient in Linux/Unix (especially Red Hat Enterprise Linux 6/7), network discovery protocols (SNMP, SSH, WMI, PowerShell, APIs), and identifying software versions, dependencies, and asset relationships. Experience with software license compliance, software asset management, legacy infrastructure troubleshooting, and customer engagement during PoC and implementation phases preferred. BMC Helix certifications and GCC/MENA experience are desirable. Must be able to work onsite in Oman. Excellent problem-solving, communication, and stakeholder management skills with ability to lead cross-team projects.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring Support Engineers to serve as the named, dedicated Product Support point of contact for Anthropic's most strategic enterprise customers. As a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book of accounts — embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed — and ensure the right internal teams are engaged when needed. Responsibilities Serve as the named technical support contact for a defined book of strategic enterprise accounts, embedded in customer channels and joining recurring account cadences as the support voice Own your customers' technical support needs end to end — investigate, diagnose, and resolve complex issues directly, and partner with internal Engineering and Product teams to drive resolution when needed Build deep, durable context on each customer's architecture, integrations, and use cases so you can respond with nuance rather than from a script Partner closely with the Customer Success Manager, Account Executive, and Applied AI team on each account as part of a single, coordinated account team Capture technical feedback and product friction from your accounts and route it to Product with the impact data and detail needed to prioritize it correctly Manage high-urgency issues for your accounts with extreme ownership, and coordinate cleanly with the broader Product Support team for continuous coverage Help build the foundations of the Support Engineer function — runbooks, escalation paths, tooling, and the metrics we'll use to measure its value Become an expert in all Anthropic products across the API, Claude for Enterprise, and Claude Code You may be a good fit if you Have 5+ years in technical product support, with meaningful time in an escalated, priority, or named-account support team for enterprise customers Have been the person an enterprise customer knows by name and reaches for first when they need technical help Are deeply fluent with APIs and technical SaaS products, and can read technical documentation, error logs, and request traces with ease Have hands-on experience troubleshooting SSO, SAML, OAuth, and enterprise authentication flows Are persistent and curious — you delight in the hunt of tracking down a bug, and are energized by fixing it for every similar user going forward Possess strong user empathy and crisp, kind written communication; you can translate between a frustrated customer engineer and an internal platform team without losing either Are comfortable operating in ambiguity, making informed decisions in never-before-seen situations, and knowing when to pull the escalation cord Enjoy building trust and collaborating closely with go-to-market partners (Sales, CS, Applied AI) without owning the commercial relationship yourself Have contributed to the foundations of a support team before — the essential, often unglamorous work of writing the first runbook Are excited about Anthropic's products and the opportunity to shape how the world's largest companies get support for them Strong candidates may also have SQL proficiency for querying logs and usage data to investigate issues Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript) Understanding of LLM capabilities, prompt engineering patterns, and current limitations Familiarity with enterprise networking concepts, cloud infrastructure (AWS, GCP), and IT environments Experience working inside a customer's shared Slack or similar embedded-support model Background as a Technical Account Manager, Support Engineer, or Designated/Premier Support contact at a developer-platform or infrastructure company 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: $210,000 — $250,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic’s Research Tools team builds systems that support our large-scale, distributed finetuning runs and improve the productivity of researchers. As a manager, you’ll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient, support fast iteration on model development and research, and evolve the infrastructure continuously to incorporate new research advances. Our Research Tooling sits at the intersection of almost every technical group at Anthropic. You’ll work with research teams to incorporate their innovations into our production finetuning pipeline, product teams to help us iterate quickly on customer-oriented model improvements, and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible. About Anthropic: Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities: Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs. Design processes (e.g., postmortem review, incident response, on-call rotations) that help the team operate effectively. Coach and support your reports to understand and pursue their professional growth. Run the team’s recruiting efforts efficiently, ensuring we can grow as quickly as we need through a period of rapid growth. You may be a good fit if you: Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well. Are an experienced manager (at least 2 years) and actively enjoy people management. Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level) to be effective. Strong candidates may also have: Experience working with research teams, especially as part of a “research to production” pipeline Strong people management experience: Coaching, performance evaluation, mentorship, career development Strong project management skills: Prioritization, communicating across team/org boundaries Experience recruiting for your team: Predicting staffing needs, designing interview loops, evaluating candidates, and closing them Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1500 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house hardware R&D team. The team You will join a small, highly focused frontend engineering team responsible for building internal interfaces that power Nebius’s GPU cloud and data center operations. The team develops tools that automate infrastructure deployment, server operations, network management, and logistics workflows across global data center environments. This role is part of the wider infrastructure and operations organization and works closely with engineering teams responsible for cloud infrastructure, deployment automation, and production operations. The role We are seeking a Senior Frontend Engineer  to design and build internal platforms that support automation and operational management across Nebius data centers and GPU cloud infrastructure. This is a highly autonomous role focused on developing reliable, scalable user interfaces for infrastructure-heavy environments. You will work across systems related to server operations, network management, logistics, and deployment workflows while partnering closely with infrastructure and operations teams. Your responsibilities will include: Designing and developing internal web applications that automate data center and infrastructure operations. Building user interfaces that support server management, network operations, deployment workflows, and logistics processes. Collaborating with infrastructure, operations, and platform engineering teams to translate operational requirements into scalable frontend solutions. Improving reliability, usability, and operational efficiency across internal tooling platforms. Working closely with European-based frontend engineers to align on architecture, standards, and development practices. Supporting deployment and operational workflows across GPU cloud infrastructure environments. Contributing to frontend architecture decisions, component design, and long-term maintainability of internal systems. Participating in code reviews, technical discussions, and continuous improvement initiatives across the engineering organization. We expect you to have: Strong experience with JavaScript and/or TypeScript. Hands-on experience building modern frontend applications using React. Experience working with Docker and containerized development environments. Strong Linux knowledge and command-line proficiency. Experience supporting, deploying, or troubleshooting applications in production infrastructure environments. Strong problem-solving skills with the ability to operate independently in high-responsibility environments. Ability to collaborate effectively across distributed teams and time zones. A proactive, ownership-driven mindset with strong communication skills. Nice to have: Experience with frontend state management libraries and patterns. Background working in infrastructure, cloud, or data center environments. Familiarity with deployment automation or operational tooling. Experience building internal developer or operations-focused platforms. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $122,880 — $184,320 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - USA The Payment Integrity team is a group of innovative thinkers sitting at the intersection of Clover's provider Network, Claims, and Tech teams. The Payment Integrity team ensures that Clover pays claims in an accurate manner, with a particular focus on reducing inappropriate medical spend. As an Inpatient Coding Specialist at Clover Health, you will play a key role ensuring that Clover is able to continue to build and scale a compliant, efficient and profitable program. You will work to ensure quality assurance standards and regulatory policy are reflected in claims processing practices. You will help drive value for every member by ensuring that Clover’s medical claims are paid accurately and recovering overpayments when they are identified. The Associate - Inpatient Coder coordinates the identification of provider DRG denials and upcoding. As an Inpatient Coding Specialist, you will: Partner with Clinical, Claims, and Payment Integrity peers to review claims for DRG related issues on a prospective and retrospective basis that drive inaccurate payments to providers. Proactively identify overpayments to ensure accurate claims payments on inpatient services. Participate in collaborative discussions with MDs to verify the clinical rationale behind billed procedures. Communicate effectively while building trust and lasting partnerships both laterally and vertically across multi-discipline teams. Communicate effectively both internally and externally to ensure accurate claims adjudication and proper provider notification. Success in this role looks like: By the end of your initial 90-day period, you will have demonstrated a strong understanding of clinical coding practices and medical records review, while assisting our team in areas of DRG validation. By 6 months, you will be working autonomously to execute within our clinical review workflows and will have developed strong interpersonal relationships across the organization. Continued success in this position anchors in on developing a deep understanding of the workflows that support our clinical review life cycle, while maintaining regulatory compliance standards. You should get in touch if: You hold a CCS or CIC certification; required. Knowledge of DRG pricing methodology; required. You have at least 1 year of direct inpatient clinical coding experience. Medicare or Medicare Advantage payment integrity or claims operations experience; preferred You are technologically savvy with strong computer skills in Excel and PowerPoint. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. # LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. #LI-Remote Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $76,000 — $99,000 USD

Location: Montreal, Canada; United States; United Kingdom The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Key Responsibilities: · Lead the development and execution of advanced orbit dynamics and mission analysis tasks for various space missions. · Architect, design, and optimize complex satellite trajectories, maneuvers (low-thrust, impulsive), and constellation configurations using STK (including modules like Astrogator, Optimizer, Analysis Workbench) and custom tools. · Develop, implement, and validate high-fidelity simulation models and analysis software using Python, MATLAB, and/or C# to support mission design, performance assessment, and trade studies. · Perform and oversee specialized analyses: advanced coverage, communications link budgets, conjunction assessment and collision avoidance strategies, re-entry predictions, orbit determination, and attitude dynamics interactions. · Define mission requirements related to trajectory and orbital performance; contribute to system architecture development and trade-offs. · Develop novel analysis techniques and automate complex simulation workflows. · Provide technical leadership and mentorship to junior engineers within the team. · Prepare and present detailed technical reports, analysis results, and recommendations to internal teams, management, and external customers/stakeholders. · Interface with other subsystems (GNC, Systems, Software, Operations) to ensure mission success. Required Qualifications: · Master's degree in Aerospace Engineering, Astronautical Engineering, Physics, Applied Mathematics, or a closely related field; Or a Bachelor's degree with significant additional relevant experience (typically 9+ years). · Minimum of seven (7) years of professional, post-graduation experience directly related to orbit dynamics, astrodynamics, trajectory optimization, and space mission design and analysis. · Expert-level proficiency with Systems Tool Kit (STK) / Satellite Tool Kit (STK), including advanced modules (e.g., Astrogator, Optimizer, Coverage, Comm) and experience with STK automation/scripting (via API, Connect). · Advanced programming proficiency and demonstrated experience developing analysis tools, models, or simulations in Python and MATLAB. · In-depth theoretical and practical understanding of advanced orbital mechanics, perturbation theory, estimation techniques (orbit determination), and trajectory optimization methods (gradient-based, evolutionary). · Proven ability to lead technical analyses, conduct complex trade studies, and solve challenging astrodynamics problems independently. · Excellent analytical, critical thinking, and problem-solving skills. · Strong written and verbal communication skills in English. French language is considered favorably. Complementary skills/knowledge: · PhD in Aerospace Engineering or a closely related field with a focus on astrodynamics or orbital mechanics. · Experience with other simulation environments (GMAT, FreeFlyer, Orekit) or specialized tools (SPICE). · Experience with C/C++ programming. · Experience in spacecraft Guidance, Navigation, and Control (GNC) analysis or design. · Experience with multi-body dynamics and large constellations. · Experience with satellite operations, particularly flight dynamics aspects. · Experience with software development best practices (version control with Git, testing, documentation, CI/CD). · Record of publications or conference presentations in relevant fields

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We’re looking for a VP of Strategy and Corporate Development to join Duolingo’s Senior Leadership Team and drive strategy, planning and our growth via M&A. Reporting to the Chief Business Officer, the VP of Strategy and Corporate Development will manage our Strategy and Business Operations and Corporate Development functions. Strategy and Business Operations at Duolingo is fast moving and iterative and represents the majority of this role. We’re seeking a leader who’s excited to work at a founder-led company, comfortable with ambiguity, and collaborates well with product and technical teams. Corporate Development at Duolingo supports key company priorities, with a focus on acqui-hires and targeted capability acquisitions rather than large transformational deals. We’ve used M&A to build functions, establish offices, and expand into new subjects. We’re excited to continue and expand our M&A activity. This role is based in our Pittsburgh, PA or New York, NY office on a hybrid (4+1) work schedule. 🧠  You will... Partner with leaders across the company to develop strategies spanning our main Pillars: Growth, Monetization, Language Learning, and New Subjects (Math, Music and Chess). Generate insights that directly influence product experiments and drive impact. Run company-wide strategy and planning, driving alignment on strategic direction and resource allocation, including leading planning for Duolingo Board of Directors meetings. Support Duolingo’s growth through M&A, fully aligned with our strategy and key priorities, and working closely with Duolingo’s product and executive teams. Own Corporate Development end-to-end: source, evaluate, negotiate, and close acquisitions; coordinate cross‑functional diligence; and drive thoughtful integration. Lead and manage Strategy and Business Operations and Corporate Development teams (~10 people), setting the bar for your functional craft and empathizing with your team as people. Encourage your team to continue embracing new tools and technologies for insight generation and analysis, automation, and communication. ✅  You have... 20+ years relevant work experience in strategy, consulting, M&A, investment banking, or product management, and significant experience in technology companies. A demonstrated understanding of Duolingo’s business and future growth opportunities. A demonstrated track record of success in fast paced entrepreneurial work environments. Experience working closely with product and engineering colleagues. Excellent communication and analytical skills. Team leadership experience with a track record of hiring, developing, and managing high‑performing teams. Ability to work from our Pittsburgh, PA or New York, NY office on a 4+1 hybrid work schedule. ⭐  Exceptional candidates will have... Significant experience using Duolingo, and opinions about how to improve it. Leadership experience at a founder-led company. Experience at a leading consumer app. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $330,000 — $550,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: European Union; Ukraine Workplace: Remote About the Role We are looking for a Senior People Business Partner who can operate close to the business, work directly with leaders on organisational challenges, and help maintain a high-performance environment without turning the company into a bureaucratic HR machine. To be considered for this specific role, you MUST be a fluent Ukrainian speaker. This role is not about running HR processes for the sake of process. We are looking for someone who can: - Help leaders make strong people decisions - Maintain high talent quality - Identify organisational risks early - Ensure leadership, hiring, and performance problems do not silently accumulate over time. Key Responsibilities - Partner with leaders on hiring, team structure, organisational effectiveness, performance, ownership gaps, and delivery risks. - Push discussions toward decisions and outcomes instead of endless alignment loops. - Help leaders define what “strong” actually means for critical roles and challenge weak hiring compromises. - Support leaders in addressing underperformance early and directly. - Identify early organisational signals such as leadership gaps, burnout, unhealthy dependencies, misalignment, or execution risks. - Help improve feedback quality, leadership practices, and decision consistency across teams. - Support practical and scalable organisational approaches instead of overcomplicated HR frameworks. - Contribute to improving internal documentation, operational clarity, and AI-supported People knowledge infrastructure over time. This role is not: - an employee support hotline; - a process coordinator; - a “culture activities” owner; - a passive mediator avoiding uncomfortable conversations; - or someone hiding behind frameworks instead of making judgment calls. The goal of the role is not to centralise ownership inside the People function. We expect PBPs to strengthen leadership capability, improve decision quality, and help leaders become more effective and self-sufficient over time. We value: - clarity over ambiguity; - direct communication over corporate politeness; - speed with accountability; - impact over activity. Requirements - 5+ years of experience in HRBP, Head of People, HRD, organisational partnership, or similar leadership-facing roles. - Strong experience working with leaders in fast-moving environments. - Ability to challenge stakeholders directly, constructively, and without unnecessary politics. - Strong judgment and ability to operate in ambiguous situations. - High level of ownership, maturity, and communication clarity. - Ability to connect people and topics with business reality and execution impact. - Comfortable with difficult conversations, organisational tension, and imperfect environments. - Ability to remain calm, structured, and pragmatic under pressure. - Ability to build trust with strong personalities and leadership teams while still being able to challenge them when needed. - Ability to simplify complexity instead of adding bureaucracy. - Strong business and organisational awareness. - Interest in scalable organisational practices, operational clarity, and AI-supported People infrastructure. What We Offer - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Recruitment Process 1. Interview with a Recruiter (30-45 min) 2. Hiring Manager Interview with a People Lead (60 min) 3. Final Interview with C-level (60 min) By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Milan Workplace: Hybrid Your opportunity: Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow, with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. As a hands-on Engineering Manager, you'll lead a team of skilled engineers in defining and delivering the technical roadmap for our products. Collaborating with cross-functional teams, you'll help shape product strategy and direction, while representing engineering in key technical discussions. Your work will directly influence product quality, scalability, and innovation, playing a critical role in our overall success. What you'll be doing: - Lead a growing team of application engineers, with a hands-on leadership approach expected from all engineering managers - Bring strong technical expertise and a proven track record in large-scale distributed systems and/or guiding teams through complex technical transitions - Drive strategic technical decisions in collaboration with cross-functional teams, and lead cross-domain technical initiatives that align with overall business and product goals - Identify improvements within the team, propose actionable solutions, and coordinate efforts to improve team velocity and effectiveness - Help shape the broader domain vision, influence strategic direction, and set goals for ongoing product improvement - Balance hands-on engineering with big picture thinking, taking pride in mentoring and developing high performing teams - Maintain a results driven mindset focused on delivering impact at scale and speed What you have: - Management Experience: Preferably 2+ years of managing multidisciplinary teams, with a proven ability to recruit, retain, and grow top engineering talent. - Leadership Skills: Demonstrated ability to lead, coach, and mentor engineering teams. Excellent communication, interpersonal, and collaboration skills. You are a great active listener. - Engineering Excellence: Significant hands-on experience in various contexts, building scalable, robust, and fault-tolerant systems and full-stack products, preferably on the JVM or PHP stacks. - Product Sense: A strong understanding of product development principles and a customer-centric approach. - Bias Towards Action: Balance speed and quality, make quick decisions, and learn from mistakes. - Problem-Solving Ability: Strong analytical and problem-solving skills, with a passion for finding creative solutions to complex challenges. - Passion and Energy: Demonstrate ownership and enthusiasm, seeing new tasks as opportunities to contribute and grow. - Always Be Shipping Mindset: It’s about consistently delivering value to customers, where speed and quality go hand in hand. *Kindly note relocation support is not offered for this position unfortunately.

Location: Limassol, Cyprus Workplace: none David Kennedy Recruitment is working with an innovative global Customer Experience company currently looking to hire a Senior Software Engineer (Architecture) to join their growing international team. Position: Senior Software Engineer (Architecture) Location: Limassol, Cyprus Employment type: Full-time DUTIES AND RESPONSIBILITIES: Design, develop, and maintain scalable applications and systems using Laravel (PHP) and Vue.js Contribute to architectural decisions and help drive scalable, maintainable, and high-performance technical solutions Work with distributed systems, queue-based architectures, Kafka, and event-driven patterns Optimise platform performance, reliability, scalability, and overall system stability Collaborate closely with Head of Development, DevOps Engineers, and Senior Developers on technical initiatives and infrastructure improvements Support engineering best practices, clean code principles, and continuous technical improvement Conduct code reviews, design reviews, and provide technical mentorship to developers Work with containerised and cloud-native environments using Docker and Kubernetes Participate actively in day-to-day hands-on development while supporting long-term technical direction Contribute to improving development processes, scalability, and engineering standards across the platform. REQUIREMENTS: Strong written and spoken English communication skills 5–8+ years of software engineering experience Strong system design and software architecture experience Solid backend development experience with PHP/Laravel or similar frameworks Experience with modern JavaScript frameworks, ideally Vue.js Experience working with distributed systems and queue/event-driven architectures Hands-on experience with Kafka and queue systems Strong knowledge of MySQL and NoSQL databases Experience with Docker and Kubernetes is highly preferred Strong ownership mindset and problem-solving abilities Passion for technology with proactive self-learning mentality Ability to work collaboratively within fast-paced technical environments. OFFER: Competitive salary package Birthday vouchers and additional special occasion perks Medical insurance plan options Pension plan options Fully equipped kitchen and in-house entertainment space Monthly lunches, corporate events, football team activities, and competitions Long-term career growth opportunities within a leading international iGaming organisation And much more!

Location: United States + International (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. Update: We will stop accepting new applications for this role on November 26, 2026. Summary GiveWell is seeking a Senior New Areas Researcher to help direct tens of millions of dollars annually to the most cost-effective interventions we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale. The New Areas team grantmaking is divided into three workstreams: i) our core cause areas: areas for which we devote a significant amount of time developing subject-matter specific expertise and networks, a thorough research agenda, and a large portfolio of grants (e.g., family planning, maternal and newborn health, tuberculosis and HIV); ii) our emerging cause areas: a broader set of cause areas for which the New Areas team is starting to build its expertise, networks and research agenda, and is making some initial grants (e.g., medical oxygen, applications of AI to global health); and iii) our incubators: supporting the Clinton Health Access Initiative’s Incubator and Evidence Action’s Accelerator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. As a Senior New Areas Researcher, you'll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell's grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment. We're open to a wide variety of professional development pathways depending on your preferences and our needs. The role You will be joining a small grantmaking team to contribute to our ambitious research agenda on new areas. You'll sift through the countless questions we could try to answer, and hone in on those that matter most. You'll also communicate externally about your work and mentor and advise other researchers on the team. You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell new areas team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. What you might work on in your first year: Tackle thorny research questions in our existing portfolios. For example: to what extent could programs which distribute oral rehydration solution to reduce diarrheal deaths inadvertently induce exclusively breastfed children to consume poor quality water? How can we estimate the risk of reinfection after a child has completed a course of tuberculosis preventive treatment? How can we account for these concerns in our cost-effectiveness estimates? Design and oversee learning grants. You'll help design impact evaluations for new and existing programs, and supervise researchers executing that work — from scoping the research question through to interpreting results and integrating them into our models. Build our evidence base in new programmatic areas. This includes synthesising existing research, commissioning new reviews, and in some cases funding primary data collection — with the goal of determining whether a new intervention meets GiveWell's cost-effectiveness bar and is ready for major grantmaking. Provide research support to grantmakers. You'll ensure our cost-effectiveness models reflect our best current understanding of the programs we fund — stress-testing assumptions, incorporating new data, and flagging where uncertainty is high enough to warrant further investigation. The Senior New Areas Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end (from research question through grant recommendation), and represent GiveWell to external counterparts. You'll have significant latitude to propose new areas of work. Team structure Our research department has ~70 people, and is currently organized into eight teams: Five of the teams (Livelihoods, Malaria, Nutrition, Vaccination, and Water) focus on specific areas of grantmaking. The New Areas team focuses on interventions in domains that are new to GiveWell. The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work. The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing. Team values We think our research team has unique qualities: We care deeply and centrally about finding and sharing truth. Truth-seeking is one of our core values . We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong. We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs. We don’t waste time. Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions. Lean research team = huge personal impact. In 2026, our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future. We work well together. Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly. About you We expect the Senior New Areas Researcher to have A quantitatively oriented advanced degree (e.g., in epidemiology, public health, economics, or a related field). Substantial professional experience in global health, or an adjacent field (broadly defined). This could include direct experience with program design, monitoring, or evaluation; epidemiology; cost-effectiveness modelling of health interventions; or work in program implementation or funding at a bilateral, multilateral, or NGO. We're especially interested in candidates who enjoy being generalists: you are able to get up to speed quickly on new topics and you feel comfortable task-switching. We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality: GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact. You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny. You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s. You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels. You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks. You love a gnarly problem . You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned. You constantly assess whether you and the team are working on the most important things. If you’re interested in working on GiveWell’s research team but don’t have new areas expertise, consider applying to our generalist Senior Researcher role, or our Researcher role if you have limited post-graduation experience. The details Compensation: We set salaries using a location-based tier system. Our pay for this role: NYC or the San Francisco Bay Area: $308,000. All other U.S. locations: $280,000 International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage. Benefits: Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year, plus a one week organization-wide summer break 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Countries we can hire from: GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for. Visa sponsorship: The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas. Why we work this way: Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Travel: Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend quarterly whole-org and department retreats to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting family or other obligations. Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. Miscellaneous details: Please apply to only one Senior Researcher posting. If you have deep expertise in this area, this pod-specific role is the right fit. If not, there's no need to apply here — our generalist Senior Researcher role is designed for strong researchers who don't have a single specialization, and you don't need to apply to both. Applying to the generalist role won't put you at any disadvantage! After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our FAQs page ! We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible. We have a strong preference for full-time applicants, but we’ll consider applications for part-time work. We aren’t interested in reviewing applications for contract or project-based work at this time. You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .