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— Create engaging 3D mini-documentaries (15–35 seconds long). ✓ Experienced in dynamic 3D animations.

- Maintain, scrub, and organize large sets of financial records to ensure data integrity across ledgers and reporting systems. - Perform detailed weekly and monthly reconciliations (bank, revenue, crypto balances) and investigate variances.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry, computational chemistry, or a related field Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications Experience with reinforcement learning, large language models, or building evaluations and benchmarks Track record of supporting drug discovery programs alongside medicinal and synthetic chemists Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry Hands-on synthetic or medicinal chemistry experience at the bench Publications, patents, or open-source software demonstrating scientific impact 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: France; Spain; Italy We are looking for an experienced Senior Data Architect to assess an existing data landscape and define a scalable target-state architecture that can support future business growth. The role combines architecture assessment, data platform design, governance, data quality, integrations, and implementation support across cloud, on-premises, and hybrid environments. Language requirement French - C1 or higher What you'll be working on Assess the current data architecture and identify key risks, limitations, and improvement areas Define a scalable target-state data architecture Design an architecture that can support ongoing expansion through new subsidiaries Address architectural dependencies and eliminate existing single points of failure Define and improve data quality standards and data modeling practices Evaluate cloud, on-premises, and hybrid architecture options Design data warehouse and broader data platform solutions Support data governance initiatives from an architectural perspective Define and support REST API-based integrations Work with Microsoft SQL Server-based data environments Conduct the initial architecture assessment during the first project phase Support implementation and testing activities during the delivery phase Collaborate with technical and business stakeholders throughout the architecture and implementation lifecycle Requirements What we're looking for Senior-level experience in Data Architecture Fluent French at C1 level or above Strong understanding of Data Governance principles Hands-on experience with Microsoft SQL Server Proven experience designing and integrating REST APIs Strong background in Data Warehousing and Data Platform Design Experience assessing and designing cloud, on-premises, and hybrid architectures Deep knowledge of Data Quality management and Data Modeling Ability to evaluate existing data environments and define scalable target-state architectures Experience supporting implementation and testing of architectural solutions Strong analytical skills and ability to translate business growth requirements into sustainable technical architecture

Location: Amsterdam, Netherlands We are looking for an experienced Economy & Balancing Game Designer who can design, model, and tune the economies, progression, and reward systems of casual HTML5 games played by millions of people worldwide. As part of one of our multidisciplinary game development teams, you will design, model, balance, test, and iterate game economies from early concept through live operations. You understand that a great casual game economy is not just “generous” or “tight”: it paces progression, makes every reward feel earned, gives every purchase a clear purpose, and stays healthy for years. About CoolGames At CoolGames, we’re proud to be a leading international HTML5 game studio, working with some of the world’s biggest ‘Big Tech’ game platforms, such as Netflix, Discord, Facebook and Microsoft Play. We also work with famous games IP such as Battleship, Angry Birds and Monopoly. CoolGames is part of Keesing, the world’s largest Braintainment company. Keesing is a financially strong publisher of engaging sudokus, crosswords and many other puzzles & games with a presence in over 20 countries headquartered in The Netherlands. With the CoolGames HQ in Amsterdam, supported by our global remote teams, we offer market-competitive salaries, the chance to contribute to successful casual games that are played by millions and work directly with some of the biggest brands in the world. We believe in creativity, collaboration and delivering world-class gaming experiences, while giving you the choice to either join our Amsterdam studio or become part of our remote teams. If you want to grow your career in a profitable, internationally recognized company, work closely with world-famous partners and be part of a highly professional international team, CoolGames is the right place for you. About the role As an Economy & Balancing Game Designer at CoolGames, you take ownership of the economies inside our casual games: the sources, sinks, progression, and reward systems that decide how players earn, spend, and advance. You will design systems that are fun, fair, understandable, and commercially effective. And you own the outcome: not just the analysis behind the numbers, but the retention and revenue they produce. You will be part of a multidisciplinary agile team. Together, you will work on new titles, improve existing live games, and help shape the models, tools, and processes that make good economy design scalable across our portfolio. Because our games run on a range of platforms with different monetization models, you know how to make an economy work whether it is driven by in-app purchases, ads, or a subscription platform. On new games you are involved from the very first design sessions, so that the economy, its sinks, and its progression are designed in from the start rather than balanced after the game has been built. On live games you take the economy apart per title, in enough depth to say what a change will do before it ships, and you model and simulate that change rather than shipping it and reading the result afterwards. You are comfortable working both creatively and analytically. You can feel when a progression curve or a reward loop is right, but you also know how to validate that instinct through models, simulations, A/B tests, and player data. About You You are proactive and thrive on taking ownership and responsibility. You care deeply about how players feel when they play, and you know that a healthy economy and a great player experience are the same goal, not a trade-off. You know how to design systems that motivate without manipulating, monetize without frustrating, and reward without devaluing progress. If you are: An experienced Economy, Systems or Balancing Game Designer Ready to work on long-lasting casual titles, and to move between them when needed A strong believer in teamwork Are not afraid of innovation and learning new tools on the go Then you are on the right track to be a great match with Coolgames. Responsibilities Design and balance the economy, progression, and reward systems of our casual games, from the first design sessions of a new title through live operations Own the revenue outcome of the economies you design Build and maintain the economy models, balancing sheets, and simulations for each title, in enough depth to say what a change will do before it ships. Use player data and A/B tests to find friction points, progression bottlenecks, and monetization opportunities, and to show, with data, where balancing proposals from game and level designers will take retention and revenue. Design motivation loops and a cohesive ecosystem of LiveOps events that work together rather than compete for player attention Communicate design rationale, trade-offs, and recommendations clearly to the team and the studio, and take ownership of a title’s economy when moving between projects. Research how comparable games in our genres structure, pace, and price their economies, and keep that as the reference we balance and price against. Requirements Requirements 5+ years designing, balancing, and operating the economies of successful, released free-to-play games on mobile and/or HTML5, including casual or puzzle titles. Comfortable being accountable for a title’s KPIs: you make and defend decisions Advanced spreadsheet and modeling skills: balancing, simulation, and forecasting models, and fluent use of AI tools to build and analyze them faster. Strong analytical mindset: you design and evaluate data, translating it into concrete design changes. Deep understanding of player motivation, retention mechanics, LiveOps, and monetization design, and the empathy to feel what our casual audience will and won’t accept. Independent and proactive, quick to get up to speed on a new game and its audience, with excellent English and experience working in remote, multidisciplinary teams. A habit of benchmarking: you know the economies of the leading games in our genres well enough to say where ours sits against them. Benefits What we can offer you An international team of 80+ professionals from almost 20 different countries; Work closely with some of the biggest upcoming game platforms in the world on high-quality casual games that are played by millions of players; Competitive remuneration; A flexible remote working environment; A very open, informal, and international company culture where everyone can make a difference. Apply Do you love building game economies that players find fair, motivating, and worth investing in, and that stay healthy for years? Then we would love to hear from you. Please include your CV and, where possible, a portfolio, economy models or balancing sheets, shipped games, design documents, or examples that show how you think about progression, monetization, and player experience.

Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; New Delhi, India Job Summary We are seeking an experienced IBM Cognos Analytics Developer to design, develop, and maintain enterprise reports, dashboards, and analytics solutions using IBM Cognos Analytics. The ideal candidate will have strong expertise in developing complex reports and interactive dashboards based on customer requirements, working with data models and cubes, and integrating Cognos content with IBM Maximo Application Suite (MAS) and 3D Dashboard solutions. The successful candidate will be responsible for delivering high-quality business intelligence solutions that enable data-driven decision-making through advanced reporting, analytics, and visualization. Key Responsibilities Gather and analyze business requirements from customers and translate them into reporting and analytics solutions. Design, develop, and maintain complex operational, analytical, and executive reports using IBM Cognos Analytics. Develop interactive dashboards, KPI scorecards, and self-service analytics to meet customer requirements. Design and implement drill-down, drill-through, and parameterized reports. Develop and maintain multidimensional data models, Framework Manager models, and data modules. Design, build, and optimize OLAP cubes and data cubes for high-performance analytics and reporting. Develop advanced calculations, metrics, prompts, filters, and custom expressions. Integrate IBM Cognos Analytics with IBM Maximo Application Suite (MAS), enterprise databases, and third-party applications. Support the development and integration of Cognos reports and dashboards with IBM Maximo 3D Dashboard capabilities and visualization solutions. Optimize report performance and troubleshoot complex reporting issues. Ensure data accuracy, consistency, and governance across reporting solutions. Develop reusable reporting templates and dashboard components. Collaborate with business users, solution architects, and technical teams throughout the project lifecycle. Prepare technical documentation, user guides, and knowledge transfer materials. Provide production support, enhancements, and performance tuning for Cognos environments. Requirements Required Technical Skills IBM Technologies IBM Cognos Analytics IBM Cognos Report Studio / Reporting IBM Cognos Dashboard IBM Framework Manager IBM Cognos Data Modules IBM Cognos Event Studio (preferred) IBM Cognos Administration Reporting & Analytics Complex Report Development Executive Dashboards KPI Dashboards Drill-through Reports Scheduled Reports Bursting Reports Data Visualization Analytical Reporting Data & Database Skills SQL (Advanced) Data Modeling OLAP Cubes Data Cubes Star Schema and Snowflake Schema ETL concepts Performance Tuning Database Experience IBM Db2 Oracle Microsoft SQL Server PostgreSQL Other enterprise relational databases Integration Skills REST APIs JDBC/ODBC IBM Maximo Application Suite (MAS) TNCP Performance Dashbaord. 3D Dashboard Integration Enterprise data integration concepts Required Experience 5+ years of hands-on experience with IBM Cognos Analytics. Proven experience developing complex reports and dashboards for enterprise customers. Strong experience with Framework Manager and metadata modeling. Experience designing and maintaining OLAP/data cubes for analytical reporting. Experience integrating Cognos with enterprise applications, including IBM Maximo Application Suite. Strong SQL development and query optimization skills. Experience with performance tuning of reports and dashboards. Ability to translate business requirements into scalable reporting solutions. Preferred Qualifications IBM Cognos Analytics Certification. Experience with IBM Maximo Application Suite (MAS). Experience developing dashboards for IBM Maximo Monitor or IBM Maximo Visual Inspection. Knowledge of data warehousing and business intelligence best practices. Experience with OpenShift and cloud-based deployments. Familiarity with Python or scripting for automation is an advantage. Soft Skills Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to interact directly with customers and gather reporting requirements. Strong documentation and solution design capabilities. Ability to work independently and collaboratively in cross-functional teams. Customer-focused mindset with the ability to deliver high-quality analytics solutions within project timelines. Education Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field. Equivalent professional experience will also be considered. Preferred Candidate Profile The ideal candidate should have extensive experience in IBM Cognos Analytics, with the ability to develop sophisticated reports, dashboards, and analytical solutions tailored to customer requirements. The candidate should be proficient in building and optimizing data models and cubes, integrating Cognos with IBM Maximo Application Suite and 3D Dashboard environments, and delivering scalable, high-performance business intelligence solutions that support operational and executive decision-making.

Location: Bangkok, Thailand Males and Females welcome Calling all truly AWESOME people! About Stranger Soccer Stranger Soccer ( www.strangersoccer.com) is a Singapore-based company experiencing explosive growth. In a few short years, after launching a revolutionary platform and Mobile App for on-demand football, the company has amassed over 50,000 registered users playing hundreds of games a week. It has solved the problem that football is the world's #1 sport, but is difficult for an individual to play. Stranger Soccer makes it as easy as going to the gym or for a jog. Browse. Book a slot. Show up and play. Today, it is the #1 way people play football and futsal in Singapore, and is rapidly expanding internationally via a license partner model, with locations in Australia, India, USA, UAE, and South Africa. Job Description Official Hosts serve as the game facilitator as well as brand ambassadors. We are seeking Official Hosts to host games throughout the week and occasionally assist in other ad hoc duties. For this role, you should have great people skills, to make sure our users have a positive game experience from the moment they arrive till their departure. Working Hours Shifts will be assigned each week during the following timeframes: Monday to Friday: 8 am – 1 pm, 4 – 9 pm, 6 - 11 pm Saturday & Sunday: 8 am – 1 pm, 1 - 6 pm, 3 – 9 pm, 6 – 11 pm Key Responsibilities Be an ambassador of the Stranger Soccer brand at the games Facilitate numerous soccer games around Bangkok. Ensure an OUTSTANDING game experience from start to finish Be ready to step in and play, to cover for any no show players or Hosts Report issues back to Operations Management Requirements FUN outgoing personality Understanding of and passion for soccer Excellent people and communication skills Previous experience in customer service is a plus To apply, please visit https://www.strangersoccer.com/official-host and fill in the application form there.

Location: Athens, Greece We are seeking a Semantics/Knowledge Graph Engineer to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems. What You'll Do: Analyse and maintain RDF/TTL data models and vocabularies; Develop, optimise, and maintain SPARQL queries; Support data ingestion, transformation, and validation workflows; Ensure consistency and correctness of semantic data across the platform; Collaborate with backend engineers to integrate semantic logic into application flows; Assist in documenting semantic models, assumptions, and constraints; Participate in troubleshooting data quality and reasoning issues. Requirements 3+ years of experience working with semantic or data-centric systems; Strong knowledge of: RDF, RDFS, OWL SPARQL Experience with: Knowledge graphs or semantic interoperability platforms; Data modelling and ontology design; Comfortable working with structured data formats: TTL, XML, JSON, CSV Ability to analyse existing models and understand implicit domain logic. Nice-to-Have: Experience with triplestores or graph databases; Familiarity with EU data standards or interoperability frameworks; Python scripting for data processing and/or Apache Airflow; Experience in projects with regulatory or standards-driven constraints. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( S/KGE/10/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Athens, Greece We are seeking a Semantic / Data Engineer to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems. What You'll Do: Analyse and maintain RDF/TTL data models and vocabularies; Develop, optimise, and maintain SPARQL queries; Support data ingestion, transformation, and validation workflows; Ensure consistency and correctness of semantic data across the platform; Collaborate with backend engineers to integrate semantic logic into application flows; Assist in documenting semantic models, assumptions, and constraints; Participate in troubleshooting data quality and reasoning issues. Requirements 3+ years of experience working with semantic or data-centric systems; Strong knowledge of: RDF, RDFS, OWL SPARQL Experience with: Knowledge graphs or semantic interoperability platforms; Data modelling and ontology design; Comfortable working with structured data formats: TTL, XML, JSON, CSV Ability to analyse existing models and understand implicit domain logic. Nice-to-Have: Experience with triplestores or graph databases; Familiarity with EU data standards or interoperability frameworks; Python scripting for data processing and/or Apache Airflow; Experience in projects with regulatory or standards-driven constraints. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( SDE/10/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Albania; Azerbaijan; Georgia; Serbia; Slovenia; Poland Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Go Developer to join our dynamic team on a full-time basis. We are looking for a Senior/Lead Go Backend Engineer with strong Identity and Access Management (IAM) expertise to design, build, and operate secure, high-performance authentication services. The candidate should have 7+ years of backend engineering experience, including 5+ years with Go and 3–4+ years working with authentication, authorization, SSO, MFA, OAuth 2.0, OpenID Connect, JWT, and session management in production environments. Project Responsibilities: - Design, develop, and operate high-throughput, low-latency identity services: Single Sign-On (SSO), Multi-Factor Authentication (MFA), session management, and federation. - Own features end-to-end from design through production and support. -Implement and scale modern authentication and authorization protocols and token formats (OAuth 2.0, OpenID Connect, JWTs), including secure token issuance, rotation, and revocation strategies. -Write clean, concurrent, and highly performant backend services primarily in Go; design idiomatic, testable code and clear API contracts (gRPC/HTTP). - Use your DevOps experience to deploy, manage, and automate identity infrastructure (CI/CD, monitoring, and incident response). - Serve as the subject matter expert on authentication and identity: own internal security reviews, threat modeling for identity flows, and guide other teams on secure integrations with our platform. Integrate and maintain solutions with custom and standard identity providers (e.g. Keycloak and AWS Cognito), and federation patterns. - Mentor engineers, conduct design reviews, and contribute to the team's technical roadmap and security posture. Requirements 7+ years of backend engineering experience, including 5+ years with Go and 3–4+ years working with authentication, authorization, SSO, MFA, OAuth 2.0, OpenID Connect, JWT, and session management in production environments Strong production experience with Go and gRPC; building complex distributed backend systems Deep knowledge of authentication and authorization: OAuth2, OIDC, RBAC, JWT, token security, session management, cryptography Strong understanding of web security, federated identity, secure coding, and OWASP Top 10 Hands-on experience with AWS, Kubernetes, and Terraform Experience designing high-throughput, low-latency systems with a focus on security and correctness Strong communication skills; able to explain security and architecture trade-offs to technical and non-technical stakeholders Nice to have: Experience with SAML, SCIM, PKI, JWKs/JWKS endpoints, key management (KMS/HSM) and token introspection. Working knowledge of identity platforms (commercial or open source), rate limiting, abuse mitigation, and adaptive authentication.

Location: Singapore Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're building the next chapter of AI-native craft and creativity - where craft and technology meet. Our unified platform bridges the gap between AI capabilities and human creativity, and lets professional creatives and designers harness the power of the world’s leading AI models without losing precision, expression, or soul. Together, we’re building tools that help people move faster without sacrificing quality, precision, or craft — a platform where AI supports creativity instead of flattening it. As one of our founding Technical Quality Specialists on the Product Support team for Figma Weave, you’ll have the exciting opportunity to help define, build, and elevate this new support function. This team will be responsible for troubleshooting complex bugs and working closely with our internal teams to elevate the Figma Weave experience for all of our customers. You will be delivering the kind of experiences that build trust throughout the Figma community, from customers to key internal partners, such as Product and Engineering. We are looking for a Technical Quality Specialist who is an advocate for quality improvements that enable great end-to-end experiences for the people and businesses using Figma Weave. An ideal candidate will have a background with strong testing experience, be comfortable collaborating when priorities move quickly and the path forward is often ambiguous, while demonstrating leadership, technical competence, and a passion for quality. This is a full time hybrid role based out of our Singapore hub. What you’ll do at Figma Weave: Develop expertise in Figma Weave’s products and the journey of our customers—from Product Designers to Developers—to accurately diagnose sophisticated bugs Interact with Figma Weave customers daily via email and the forum, taking ownership over complex problems Troubleshoot complex customer inquiries to identify root causes, effectively communicate, and report bugs to our Engineering teams Serve as the designated point of contact for critical technical issues raised by customers and internal teams, proactively engaging partners like Engineering and Product, and owning customer communication through to resolution Make recommendations for tooling and process improvements that help the team better manage and diagnose bugs within Figma Weave Work with the Product Support Learning and Performance team as a subject matter expert to develop documentation and training materials for future Technical Quality Specialists Act as the voice of the customer by identifying trends and communicating insights to partners across Product and Engineering to advocate for bug fixes, process improvements, and feature enhancements to Figma Weave Keep the broader Product Support team up to date on current high-priority bugs and fixes that have been implemented in Figma Weave We’d love to hear from you if you have: 2+ years of experience working in a QA or Support environment for a technical SaaS product Troubleshooting and debugging experience across multiple platforms Consultative communication skills with the ability to tailor a message for your audience - translating complex technical concepts into concise explanations for both technical and non-technical stakeholders Resilience and adaptability—you’re motivated by experimenting, building, and working across teams, and are confident navigating times of change and ambiguity Japanese a plus, but not essential At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Reports to: Head of People Level: Director Location: Remote, but in a location that allows for at least ~3 hours of daily overlap with East Africa Time, and meaningful overlap with US Eastern hours. At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back. Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. Travel: Approximately 3-4 trips per year, including at least one to a country of operation and one to a key in-person leadership moment. About this role We are currently planning for a significant increase in scale, and we are building the People function that can carry it. This is our first senior talent management role. Today we have pieces of talent management programs and processes in place, but not yet a function. You will build one: an intentional approach to how we onboard, develop, and retain our people. That covers performance management and its link to pay, manager and leadership development, learning, onboarding, talent planning and succession, employee listening and engagement, and culture and values. The first year is weighted toward four priorities: joining the redesign of our performance system early, alongside the Head of People, and owning it as it moves into execution, as we move to pay for performance, revamping onboarding ahead of our next wave of hiring, planning our values retreat for senior leaders, and getting a read on employee listening and engagement. As those take shape, the balance shifts toward the longer-term build: the vision and roadmap for the function, a foundational manager program, talent planning and succession, and the team around you. The reason for this weight: the performance system and onboarding are our most acute gaps today, but they should not be construed as a ceiling of the job. We are hiring a senior talent management leader who can shape the whole function over several years, not the owner of one or two programs. If your instinct on reading this is that the performance redesign is the whole job, this role probably isn’t the right fit, and the reverse is also true: if you want to set strategy but not build the first versions yourself, year one will frustrate you. What you’ll do Build the talent management function Within your first 90 days, assess what exists today across these areas, recommend the sequencing for the first year, and agree to it with the Head of People. Set the vision and multi-year roadmap for talent management across the areas it covers, and sequence the work against the People roadmap. Propose the team around it, and decide what we build in-house and what we buy or borrow. Connect talent management to workforce planning, compensation, and recruitment, in partnership with the Head of People, Finance, and function leaders. Build an approach to talent and succession planning, starting with critical roles: work with leaders to identify succession gaps, assess potential successors, and put development plans in place to prepare people for future opportunities. Own the performance system Join the performance system redesign early, alongside the Head of People, and own it as it moves into execution: a system that produces reliable, calibrated outputs to inform merit increases, connected to our new salary bands. Make the system worth using, not a check-the-box exercise: one that helps managers hold better performance and development conversations and gives employees clarity on expectations, feedback, and growth. Build calibration and the data around it so ratings and merit decisions stay consistent and fair across countries, currencies, and manager quality. Set a clear global standard for handling low performance that doesn’t default to a misconduct process, and equip managers to use it. Ensure the performance system helps managers identify and support sustained high performance, connecting it to recognition, development, and career growth opportunities. Iterate the system through multiple cycles, using calibration, outcome data, and feedback from managers and employees to improve it. Build how people join, learn, and are led Revamp onboarding ahead of our next wave of hiring: own the content and experience for new hires and their managers, working with People Ops on process and systems. Build a foundational manager program and the tools behind it: feedback, coaching, difficult conversations, and performance management. Extend into leadership development and broader learning as the function matures. Shape culture and listen to employees Plan the values retreat with an external facilitator and our executive sponsor, and own what carries into daily work afterward. Get a read on listening and engagement today, covering what we hear, where it goes, and what should change, and use it to build our employee listening strategy. What this role is not Not a recruiting role. Hiring sits with our Talent Acquisition team. You partner with them on the handoff into onboarding and on how we assess and develop talent once people are here. Not the owner of compensation design. Pay structures and bands are set through our compensation work. You own how performance is assessed and how ratings connect to pay decisions. Not an employee relations or casework role. Cases in country belong to managers and HR Managers, supported by the People team. You own the performance system and the manager capability that helps them handle concerns well. Not the owner of HR systems or process administration. Onboarding workflows and our HRIS sit with People Ops. You own the content and the experience. Who we’re looking for Required 7+ years in talent management, performance, or organizational design roles, including time leading a function or a major part of one. You have designed a performance system, not only administered one. You can show how ratings connected to pay and what you changed after the first cycle. You have kept a rating and pay system fair across contexts with different currencies, labor markets, and manager quality. You are a hands-on builder. You have built talent management programs and systems from scratch, or close to it, in a start-up or scale-up: performance, onboarding, manager development, or a whole function, where what you needed did not exist and you built it while the volume was already arriving. We are not looking for steady-state operating experience, or for leaders who have overseen this work without building it themselves. You think in systems. You can show how a change in one part of a talent system, such as ratings, calibration, pay, promotion, or onboarding, shows up in the others, and you reason from the underlying problem rather than copying another organization’s template. You design with change management in mind from the start. You plan for how managers and employees in different countries and cultures will adopt a new program or system as part of the design, not as a rollout step afterward, and can show how you knew it stuck rather than being worked around. You have deep experience in at least two of onboarding, manager development, and employee engagement or listening, and working experience in the third. You have built programs and content people actually used, and can show how you knew they worked. A track record of joining a major project already in motion, taking it over, and working through disagreement with a senior partner, and of influencing without formal authority in a matrixed organization. Judgment and prioritization. You decide what slips and say so plainly. Preferred Experience in a mission-driven or international organization, ideally alongside high-growth commercial or tech experience. Experience working across multiple countries, including sub-Saharan Africa. Experience working with external facilitators, consultants, or vendors, and knowing what to hand off and what to hold. Comfort using data (survey, performance, calibration) to make decisions, and knowing when the numbers mislead. Exposure to compensation design or close work with a total rewards team. Professional French or Portuguese. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. If you are in a location other than those listed below, our recruiters will share compensation information during your initial screen. United States Base Salary: $134,400 Annual Benefits Stipend: $21,393 Bonus Target: 15% United Kingdom Base Salary: £94,605 Annual Benefits Stipend: £2,760 Bonus Target: 15% Kenya Base Salary: $106,282 Annual Benefits Stipend: $8,453 Bonus Target: 15% Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We are looking for a Senior Director of Corporate FP&A to join Grafana Labs and help build and scale our Corporate FP&A function as the company enters its next phase of growth. This is a pivotal leadership role responsible for building the financial infrastructure and operating cadence that power company-wide planning, forecasting, reporting, and decision-making. You will own key Corporate FP&A processes, including long-range planning, annual planning, consolidated P&L, Balance Sheet and Cash Flow forecasting, executive and Board reporting, while helping establish the rigor, systems, and insights required to support the company’s next phase of growth. You will serve as a key partner to Finance, business leaders, and the executive leadership team, translating operating performance into clear financial insights and helping drive fast, informed decisions. The ideal candidate is a seasoned, results-oriented finance leader with strong business judgment, high integrity, and a track record of building scalable processes in complex, high-growth environments. You should be equally comfortable operating strategically and going deep into the details, with the ability to identify what needs to be built and raise the overall standard of Corporate FP&A. This is an opportunity to build the foundation for Corporate FP&A at a high-growth global company. The role is fully remote and will report to the VP of Finance. What you'll be doing: Own the company-wide Corporate FP&A model and planning processes, including long-range planning, annual planning, monthly forecasting, and consolidated P&L, Balance Sheet, and Cash Flow forecasting. Lead executive and Board reporting, delivering clear, decision-ready materials and commentary on business performance, key drivers, risks, opportunities, and operating leverage. Build and continuously refine the company’s KPI and reporting architecture, including scorecards, dashboards, recurring business reviews, and analytical frameworks that leadership and investors can rely on. Partner closely with Accounting, Tax, and other Finance teams to support month-end close, flux reviews, and financial reporting. Establish and continuously improve Corporate FP&A operating rhythms, including close-to-insight timelines, clear ownership, metric definitions, and reporting processes designed to support the company’s next phase of growth. Lead the modernization of Finance processes, forecasting methodologies, and planning frameworks through systems, workflow automation, structured data, and AI to improve accuracy, scalability, and the quality of forward-looking insights as the business evolves. Build strong cross-functional relationships with business and functional leaders, serving as a trusted partner on financial performance, resource allocation, and strategic decision-making. Build, mentor, and develop a high-performing Corporate FP&A team, and support strategic initiatives such as M&A diligence and integration as needed. What Makes You a Great Fit: 10+ years of experience across FP&A, Strategic Finance, Corporate Finance, or related disciplines, including meaningful experience at a leading technology company and ideally complementary experience in investment banking or buy-side investing. Experience in SaaS, enterprise software, or the broader technology sector is strongly preferred. Corporate FP&A leadership experience, ideally in a public-company, newly public, or public-company-readiness environment, with exposure to quarterly close, executive reporting, Board reporting, and other rigorous financial operating cadences. Meaningful experience owning a consolidated P&L, company-wide forecast, and Balance Sheet and Cash Flow forecasting processes. Advanced financial modeling and analytical skills, with the ability to build models from scratch, pressure-test assumptions, identify root causes, and translate complex analysis into clear, actionable insights. Strong executive presence and communication skills, with experience preparing and presenting decision-ready materials to senior leadership and the Board, and influencing significant company decisions. Proven ability to serve as a trusted business partner across functions and geographies, with strong business judgment and a track record of building effective cross-functional relationships. Demonstrated success as a change agent, improving forecasting, planning, reporting, and operating processes as organizations scale. Strong systems and technical fluency, including experience with Pigment and AI tools, and a track record of automating financial processes and applying AI to Finance workflows. Ability to operate at multiple altitudes, from strategic thinking to detailed execution, while prioritizing competing demands and managing multiple projects in a fast-paced environment. A player-coach mindset with high attention to detail and the highest standards of integrity, credibility, and accountability. Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $260,000 - $312,000.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Проектировать архитектуру мультиагентных систем для автоматизации клиентской поддержки, включая RAG, управление состояниями и оркестрацию ИИ-агентов. Разрабатывать и развивать workflow-системы для управления взаимодействием агентов, многошаговыми диалогами и интеграциями с внутренними сервисами.

Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role 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. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as Claude takes on more autonomous work. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code Triage cases by severity and urgency and share through the appropriate channels Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling Contribute to regular reports on agentic harm trends and enforcement outcomes Minimum qualifications Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences Have sound judgment about when a case needs escalation, and the resilience to work with difficult content Preferred qualifications Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.