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Location: Athens Office Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Mysten Labs Greece is seeking a Software Engineer to join our growing Solutions Engineering team in Greece! You will help design, develop, debug and deploy our next generation of decentralized applications. Working closely with our senior engineers, you will receive training in smart contract development using the Move programming language and build applications that support blockchain developers and business partners worldwide. These include payment wallets, decentralized finance applications and agentic coordination systems. AI coding tools and agents will be part of your development workflow, combining rapid experimentation with sound engineering judgment to deliver reliable software. You will also contribute to open source projects with global impact, collaborate with leading companies in blockchain and AI, and develop your expertise alongside experienced engineers. This is a remote position requiring residence in Greece, with a strong preference for Athens or Thessaloniki. Occasional attendance at our Athens office is required. WHAT YOU'LL DO: - Design, implement and test full stack applications, using AI coding agents to accelerate development while taking ownership of code quality, security and maintainability. - Work with (and travel as needed) international partners to onboard and port solutions to Sui. - Translate partner needs into clear technical requirements and rapidly build proof of concept applications that demonstrate how Sui can address real business problems. - Visualize and implement web UIs that improve the user experience for blockchain developers and partners. - Understand the capabilities of the Sui blockchain platform so that you can make use of its features and influence its evolution - Research blockchain technology and customers’ industries to inform technical decisions and proposed solution OUR IDEAL CANDIDATE WOULD HAVE: - Any degree in computer science or related field or/and experience in software engineering or equivalent work experience - 2+ years of industry software engineering experience - Experience with any of the following languages: TypeScript, JavaScript, Java or C# - Experience with any of the following UI Frameworks: React, Next.js, Vue - Practical experience using AI coding tools such as Claude Code, Codex or Cursor, including providing clear instructions, reviewing generated code and validating results through testing. Experience gained through personal or open source projects is welcome. - Understanding of relational databases and key value stores. - Experience in source code management tools, such as Git and GitHub - Strong collaboration, interpersonal, and verbal communication skills - Fluency in written and spoken English. Experience with Rust or Solidity, and basic knowledge of distributed systems and architectures, would be a plus. WHAT WE OFFER - A highly competitive, top-of-market compensation package. - Best-in-class private health insurance, with coverage that goes well beyond what is typically offered in the Greek market. - A monthly wellness stipend to support your physical and mental well-being. - A flexible, remote-first working environment with flexible working hours, designed to support autonomy and close collaboration. - An AI-native engineering culture. We fully embrace AI-assisted development and invest heavily in leading AI tools, infrastructure, and resources. - Continuous mentorship, training, and hands-on learning alongside world-class engineers in blockchain, distributed systems, and AI. - Meaningful ownership of technically challenging products used by developers and business partners worldwide. - A fast-moving environment where experimentation is encouraged, engineering judgment is valued, and your work can have a visible impact. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions. This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked. Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways. What you'll be doing: Organizational Leadership Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning. Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy. Own the organization's budget, vendor relationships, and contractor or offshore capacity. Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc. Analytics Engineering and Data Architecture Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed. Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths. Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns. Data Governance, Metadata, and Lineage Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform. Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation. Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance. Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets. Enterprise Reporting and Data Visualization Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management. Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented. Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources. Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content. Advanced, Proactive, and AI-Enabled Analytics Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses. Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted. Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds. Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal. Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work. Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time. Cross-Functional Partnership, Intake, and Prioritization Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management. Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments. Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction. Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions. What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered. 15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers. Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise. Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD. Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management. Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica. Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability. Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption. Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting. Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization. Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities. Experience managing budget, vendor contracts, and platform licensing. Preferred Skills: Master's degree or MBA in a related field. Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks. Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases. Hands-on experience with Atlan, Domo, and Tableau specifically. Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts. Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management. Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts. Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus. Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models. Track record leading a major platform migration, consolidation, or reporting rationalization effort. Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Canada Role overview: We are seeking a Spacecraft EMC Systems Engineer for its high-performance spacecraft for our remote sensing and communications satellites. The Spacecraft EMC Systems Engineer will own the EMC concept, analysis, verification and mitigation for multiple satellite programmes, driving architecture decisions, leading cross-disciplinary teams. He will ensure all electrical-subsystem on the bus and payload, from requirements capture to hardware design, do not interfere with themselves or launch vehicles. The role works closely with platform and payload teams to ensure an electrically clean, reliable and launch-ready spacecraft. Tasks summary: EMC Architecture Concept & Requirements • Capture, allocate and trace EMC functional, performance, and requirements. • Define the EMC architecture (shielding strategy, grounding scheme, antenna placement, mode-control, and harness segregation requirements & routing constraints). EMC Analysis & Electrical Design • Perform EMC analyses of the whole spacecraft (accounting for the payload specifics) for radiated/conducted emission and susceptibility, antenna coupling, shielding effectiveness, fuse blowing…etc. and verify compliance early in the design cycle. • Recommend mitigation such as shielding, filtering, grounding schemes, layout rules. DC Power Distribution • Review DC power distribution architecture (primary bus, secondary bus lines, converters, fusing, protection) for EMC/EMI aspects. • Review conductors, termination, connectors and back shells (material, gauge, shielding…etc.) that satisfy EMI control requirements. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Support ICDs with payload and platform teams and suppliers. • Act as the EMC authority in System and subsystem design reviews • Liaise with RF, Power, Structures, Propulsion, Software and Ground-Segment teams to resolve cross-disciplinary EMC issues early. • Support B&P (Phase 0 & pre-Phase A). Integration & Verification (IVV) • Author the EMC Verification Master Plan covering component level, subsystem level and full spacecraft tests (CE/CS, RE/RS). • Oversee test-facility set-up, instrumentation calibration, test execution, data reduction and results certification. • Author test procedures, and acceptance criteria. • Lead CE/CS tests, RE/RS tests on hardware and review suppliers test results. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns and provide EMC training sessions. • Act as technical liaison with customers, partners and external vendors. • Act as Continuous Improvement stakeholder. • Contribute to Client’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Participate in Change Control Boards (CCB) and ensure impact analyses are performed for any electrical change. • Maintain GDIR and EDTS streamlining. • Ensure all artefacts, analysis and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On‑Orbit & Operations Support • Support root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Support SOOH development and associated operator training. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred) with 10 + years of electrical design engineering experience on LEO/MEO/GEO missions. • Proficiency in spacecraft and unit EMC requirements and simulations. • Prior experience supervising a team of EMC engineers or leading multi-disciplinary task-forces. • Strong understanding of aerospace system engineering fundamentals • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little to no supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Canada Role overview: We are seeking an experienced Electrical Power System Engineer to support the concept, detailed design, analysis, verification and integration of electrical power subsystems (solar arrays, power-conditioning units, batteries, distribution & regulation) for our current and next-generation remote sensing and communications satellites. The role works closely with payload, bus, thermal, structural and mission-systems multidisciplinary teams responsible for delivering high-performance, reliable EPS solutions to commercial, government, and defense customers. Tasks summary: Architecture Concept & Requirements • Define EPS architecture (generation, storage, distribution) that satisfies mission power budget, mass, volume and reliability constraints. • Perform trade-studies (e.g., solar cell type, battery chemistry, regulator topology). • Generate system requirements, functional flow block diagrams. • Develop the Interface Control Documents (ICD) and Design Description. • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Detailed Design & Analysis • Size solar arrays, power-conditioning units, battery packs, and power distribution units. • Build and validate high-fidelity electrical models for satellite modes, FMECA, Fault detection… • Conduct & maintain power budget models, load-flow, thermal-power coupling, and survivability analyses (e.g., eclipse, safe-mode, fault-tolerant). Cross‑Functional Coordination, Stakeholder & Program Interaction • Present technical status, risk analyses, and trade‑study results to senior management. • Interface with spacecraft bus teams (power, thermal, structure, avionics). • Develop/maintain high-fidelity power models for mission analysis (e.g., orbit raising, station-keeping, de-orbit). • Develop tools for power efficiency & optimisation for the satellite. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author verification plans, test matrices, and validation procedures for unit & EPS subsystem tests. • Support ground-test & integration campaigns, fueling, thermal vacuum, EMI/EMC, and spacecraft-level integration. • Analyse test data, close out anomalies, and update design baselines. • Support FSW integration Technical Leadership & Mentorship • Mentor, guide, lead a multidisciplinary team of junior or intermediate system engineers & interns • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to Client's knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Maintain design and safety standards. • Ensure all artefacts, analysis, software, documentations and deliverables are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation Launch‑Site, On‑Orbit & Operations Support • Support launch‑site interface checklists with LVI responsible engineer, pre‑launch checkout procedures, and early‑orbit checkout scripts. • Provide real‑time engineering support during launch, on‑orbit commissioning, anomaly investigations and contingency operations. • Support SOOH development and associated operator trainings. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of EPS system design experience on LEO/MEO platforms. • Deep knowledge of spacecraft bus subsystems and their interactions. • Experience with power‑electronics design and power management hardware. • Strong understanding of aerospace system engineering fundamentals • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA • Demonstrated capability to efficiently work with little supervision • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Canada Role overview: We are seeking a GNC System Engineer for design, integration, verification, and operational support of GNC subsystems for our current and next-generation remote sensing and communications satellites. The role will require to design the complete subsystem, from algorithm development through hardware implementation, verification, and on‑orbit operation support. The role requires deep expertise in orbital dynamics, attitude‑determination & control, plus real‑time FSW definition and integration, and will work closely with subsystem and mission operations teams throughout the satellite life-cycle. Tasks summary: Architecture Concept & Requirements • Derive GNC functional, performance, and safety requirements (pointing accuracy, slew rate, orbit‑maintenance ΔV, fault‑tolerance) from mission level requirements. • Produce System Requirements, Interface Control document (ICD), and Description Document. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Modelling & Trade‑Study • Conduct trade studies on sensor suites and actuator families. • Perform high‑fidelity dynamics simulations (Matlab/Simulink, STK) to meet pointing requirements, maintain error budgets, control‑law stability, fuel consumption, and survivability margins. Algorithm Development • Design and implement attitude‑determination algorithms and orbit‑determination solutions. • Develop control laws for 3‑axis stabilization, slew maneuvers, station keeping algorithms • Validate algorithms with Monte‑Carlo analysis, worst‑case scenarios, and support SIL/HIL testing on avionic test bench. Cross‑Functional Coordination, Stakeholder & Program Interaction • Translate algorithms into FSW requirements running on real‑time operating systems. • Collaborate with the C&DH and FSW teams to implement TM/TC, schedulers and FDIR logic for GNC. • Present technical status, risk analyses, and trade‑study results to senior management. • Negotiate and maintain ICDs with subsystems. • Support B&P (Phase 0 & pre-phase A). Hardware Selection & Design • Specify sensor and actuator hardware, perform interface definition (electrical, mechanical, thermal) and conduct trade on redundancy architectures. • Work with structures and thermal engineers to ensure proper mounting, thermal paths, and vibration survivability of GNC hardware aligning with payload requirements. • Review harness routing and power distribution for GNC electronics. Integration & Verification (IVV) • Author Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft level GNC tests. • Lead functional tests: sensor calibration, actuator command‑response, closed‑loop attitude‑control on testbeds, and on‑orbit checkout sequences. • Conduct failure mode and effects analysis (FMEA), fault tree analysis (FTA), and reliability prediction. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to Client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management • Maintain GNC standards (sensor/actuator interface, filter design, control‑law documentation). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support • Support procedure developments (detumble, orbit‑maintenance, safe‑mode…etc.). • Provide real‑time GNC support during launch, early‑orbit checkout, and contingency events. • Analyse on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred), focused on flight dynamics, control theory, or navigation with 10+ of GNC/AOCS experience on LEO/MEO/GEO platforms. • Orbital mechanics, attitude dynamics, and control-law design (classical and modern optimal control). • Proficiency with navigation sensors and actuators. • Experience implementing real-time filtering and control algorithms in embedded code • Strong understanding of aerospace system engineering fundamentals. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and verbal communications skills in English & French work environment.

Location: San Francisco, CA • New York, NY • United States 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 are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma’s next generation of AI-driven products and data experiences. This is a unique opportunity to be an early engineer shaping Figma’s ML and data platform, enabling everything from self-serve analytics to production-grade AI systems. You’ll work at the intersection of data, infrastructure, and machine learning, building scalable systems that empower Data Science, unlock AI capabilities across the company, and bring data and models closer to the product experience. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Build and evolve the shared data platform that powers analytics, Data Science, and data-driven product development at Figma Make data development faster and easier by improving local development, testing, CI/CD, staging, and deployment workflows Create self-service tools and clear paths for teams to build, deploy, and operate reliable data pipelines Improve the reliability of critical data systems through better monitoring, data quality, incident response, upgrades, and performance management Make trusted data easier to find and use by establishing clear definitions, ownership, lineage, and reliability expectations Partner across Data Engineering, Data Infrastructure, Data Science, Research, Modeling Platform, Security, and Product Engineering to define ownership boundaries and supported patterns for batch, micro-batch, reverse ETL, and product-facing delivery We’d love to hear from you if you have: 5+ years of experience building and operating production data platforms, developer infrastructure, or distributed systems Strong software engineering skills (Python or similar), with experience designing reliable and scalable systems Experience improving developer workflows such as local development, testing, CI/CD, orchestration, or deployment Experience with modern data infrastructure, such as cloud data warehouses, transformation frameworks, workflow orchestrators, infrastructure as code, and observability tools A track record of owning shared systems end to end, leading ambiguous cross-functional projects, and communicating effectively with Data Science, Infrastructure, and Product Engineering partners While it’s not required, it’s an added plus if you also have: Experience supporting ML or research data workflows 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. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD 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: Singapore 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. The role We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across APAC. This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement. Your responsibilities will include: Deep Technical Investigation (Primary Focus) Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions). Detect recurring patterns across sites and convert findings into durable fixes. Own technical workstreams during high-severity incidents. Vendor & R&D Collaboration Build evidence packs and drive escalations with ODM and R&D. Push for firmware, component, and platform-level resolutions. Track outcomes and ensure knowledge flows back to operations. Firmware & Platform Readiness (BIOS/BMC) Support validation and rollout of firmware updates (risk assessment, staging, rollback planning). Help operationalize platform standards across datacenters. Knowledge & Enablement Create scalable runbooks, troubleshooting guides, and error catalogs. Turn investigations into playbooks that elevate L1/L2 teams. Hands-on Support (As Needed) Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment. We expect you to have: Strong hands-on experience with datacenter servers and deep Linux troubleshooting. Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage). Structured incident response experience and clear communication under pressure. Experience driving evidence-based escalations with vendors/R&D. Fluent English (written and spoken). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation). Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Experience supporting enterprise bare metal customers under contractual SLAs. 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: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion’s Data Foundations team builds and operates the batch and streaming infrastructure behind our product features, analytics, search, and AI experiences. We’re looking for a hands-on technical leader to shape the next generation of this platform as Notion serves larger customers, expands globally, and supports more data-intensive products. You’ll identify the highest-leverage problems, set direction, build and develop a high-performing team, and lead multi-quarter initiatives across our data lake, streaming, distributed-compute, governance, and reliability systems. You’ll stay close to critical technical decisions while creating clear ownership, growing engineers and technical leaders, and helping the team execute as one—partnering closely with Data Engineering, Data Product, Search, AI, Infrastructure, and Security. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Set the direction for Data Foundations. Turn ambiguous company and customer needs into a clear multi-quarter strategy across the data lake, streaming, distributed compute, governance, and platform reliability—and align engineers and partner teams around it. - Build and develop a high-performing team. Attract strong engineers, set clear expectations, grow technical leaders, and create an environment of ownership, direct feedback, and accountability. - Lead the team’s hardest initiatives from idea to operation. Ensure complex work has strong technical ownership, de-risk architectures through prototypes, break work into shippable milestones, and coordinate execution across engineers and teams. - Make Notion’s data platform enterprise-ready. Guide the team toward durable foundations for external key management, data residency, access controls, lifecycle management, and governance without creating separate systems for every requirement. - Raise reliability, simplicity, and cost efficiency. Identify systemic risks and architectural gaps, establish clear service ownership, and lead migrations that make Kafka, Debezium, S3/Iceberg, Spark, EMR, Athena, and related systems easier to operate at scale. - Multiply the engineering organization. Establish reusable abstractions and paved paths, delegate meaningful ownership, raise the quality of technical decisions, and scale expertise through coaching, documentation, tooling, design reviews, and direct collaboration. SKILLS YOU'LL NEED TO BRING: - Deep data-platform expertise. You have designed and operated large-scale batch and streaming systems and can reason across storage, compute, ingestion, orchestration, serving, governance, and production operations. - Direction-setting leadership. You have led a Data Platform or infrastructure team through multi-quarter work—finding the right problems, defining a strategy, sequencing execution, and driving decisions with long-term consequences. - Team-building and talent development. You have attracted strong engineers, grown people across career stages, developed technical leaders, and created clarity when expectations or performance needed to change. - Hands-on engineering judgment. You stay close to critical systems and designs and know when to prototype, simplify, buy, build, or migrate. You can go deep while preserving ownership for the engineers leading the work. - Platform-product thinking. You understand the needs behind partner requests and turn repeated patterns into safe, ergonomic, self-serve capabilities rather than accumulating bespoke solutions. - Organizational influence. You create clarity across team boundaries, surface uncomfortable technical or organizational risks early, and help engineers do their best work through strong context, delegation, feedback, and coaching. - You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively. THE SYSTEMS AND PROBLEMS YOU MAY LEAD - Evolving Notion’s data lake toward an S3 + Iceberg lakehouse with stronger governance, discoverability, schema evolution, and lifecycle controls - Scaling Kafka and Debezium-based streaming infrastructure that powers real-time product, analytics, and AI use cases - Improving Spark and distributed-compute performance, workload isolation, developer experience, and cost efficiency - Designing EKM, data residency, and compliant processing capabilities across Notion’s data estate - Creating clear platform interfaces and self-serve primitives for Data Engineering, Search, AI, and product teams WHY THIS ROLE MATTERS Notion’s data infrastructure is no longer only an internal analytics layer. It increasingly powers customer-facing features, AI systems, enterprise controls, and high-volume product workflows. The team needs a leader who can see across these systems, build the technical leadership and operating culture required for that responsibility, and find the problems that matter before they become roadmap blockers. Success means Data Foundations has a strong, growing team with clear direction and dependable execution—and teams across Notion can build ambitious data-powered products faster without compromising customer trust. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $281,000 - $334,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Warsaw Workplace: OnSite Role Highlights: - Title: AIT Engineering Team Lead - Department: Global Manufacturing Organization - Reports to: Head of MAITE, Optics - Location: Warsaw, Poland - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: ICEYE is seeking a Team Lead, AIT Engineering to lead the AIT Engineering function responsible for the assembly, integration, and testing of satellite systems and optical payloads. This is a technical leadership and people management role in an early-stage production environment, where products, processes, and manufacturing capabilities are continuously evolving. You will lead and develop the AIT Engineering team while acting as the technical focal point for AIT activities during spacecraft builds and integration campaigns. The role sits at the interface between Engineering and Production. You will work closely with optical, mechanical, electrical, systems, quality, and production teams to translate design intent into robust, manufacturable, integrable, and testable processes, while ensuring that feedback and issues identified during production are effectively driven back into Engineering. You will also support the integration and validation of externally supplied optical payloads, working with internal engineering teams and external suppliers to ensure successful integration into the satellite platform. The role requires a strong background in spacecraft AIT, system integration, or complex hardware integration, combined with the ability to lead people, coordinate technical activities, develop robust processes, and drive execution in a fast-paced production environment. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. What you will do - Lead and develop the AIT Engineering team, providing technical direction, mentoring, and clear priorities. - Lead the assembly, integration, and testing of spacecraft systems, acting as the technical focal point during spacecraft builds. - Support the integration and validation of externally supplied optical payloads into the spacecraft platform. - Combine technical leadership with hands-on involvement in spacecraft integration, testing, troubleshooting, and verification. - Ensure AIT readiness before builds, including tools, GSE, procedures, documentation, hardware, and engineering support. - Drive structured problem-solving and root cause analysis of integration and test issues, ensuring lessons learned are fed back into Engineering and production. - Act as the bridge between Production and Engineering, translating design requirements into practical, manufacturable, and testable integration processes. - Work closely with Systems, Mechanical, Electrical, Optical, Quality, Manufacturing, and external suppliers to resolve integration challenges. - Define and continuously improve AIT processes, procedures, test methods, tooling, fixtures, and technical documentation. - Support production ramp-up by improving integration efficiency, repeatability, reliability, and scalability. - Mentor engineers and build strong technical capabilities within the AIT organization. What we’re looking for Must haves: - 5+ years of hands-on experience in spacecraft AIT, system integration, testing, or production of complex hardware systems. - Strong experience with spacecraft integration and system-level testing across multiple engineering disciplines. - Experience with optical systems, optomechanics, optical payloads, or Earth Observation systems. - Experience working with complex precision hardware in cleanroom or controlled environments. - Strong system-level understanding across mechanical, electrical, optical, and systems engineering. - Experience with DFM / DFT principles and translating design requirements into manufacturable and testable solutions. - Experience with AIT processes, test procedures, verification, and technical documentation. - Experience with GSE, tooling, fixtures, or test setups used for integration and testing. - Strong troubleshooting skills, including structured root cause analysis and corrective actions. - Experience working with MES, ERP, test data management, or similar production systems. - Experience with Lean manufacturing or continuous improvement methodologies. - Strong understanding of configuration-controlled production and engineering environments. - Strong communication and stakeholder management skills. - Strong written and spoken English. Nice-to-haves: - Experience with optical alignment and metrology, including focus, tilt, centering, boresight, interferometry, collimators, or MTF. - Experience supporting environmental testing, such as thermal vacuum, vibration, or EMC. - Experience working with external suppliers or partners, particularly payload suppliers. - Experience supporting products from prototype through production ramp-up. - Experience with PDR, CDR, PRR, or equivalent technical and production readiness reviews. - Experience with PFMEA, process capability, or other manufacturing engineering tools. - Experience in Lean manufacturing, industrialization, or production scale-up. Application Process - Talent Acquisition interview - Hiring manager interview - Technical interview, including a technical challenge - Hiring team + director-level interview - Offer Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependant on experience, and will be negotiated individually. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Hyderabad, India 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. The role We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across APAC. This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement. You’re welcome to work on-site in Hyderabad, India. Your responsibilities will include: Deep Technical Investigation (Primary Focus) Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions). Detect recurring patterns across sites and convert findings into durable fixes. Own technical workstreams during high-severity incidents. Vendor & R&D Collaboration Build evidence packs and drive escalations with ODM and R&D. Push for firmware, component, and platform-level resolutions. Track outcomes and ensure knowledge flows back to operations. Firmware & Platform Readiness (BIOS/BMC) Support validation and rollout of firmware updates (risk assessment, staging, rollback planning). Help operationalize platform standards across datacenters. Knowledge & Enablement Create scalable runbooks, troubleshooting guides, and error catalogs. Turn investigations into playbooks that elevate L1/L2 teams. Hands-on Support (As Needed) Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment. We expect you to have: Strong hands-on experience with datacenter servers and deep Linux troubleshooting. Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage). Structured incident response experience and clear communication under pressure. Experience driving evidence-based escalations with vendors/R&D. Fluent English (written and spoken). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation). Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Experience supporting enterprise bare metal customers under contractual SLAs. 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: Paris, France 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 Anthropic's Public Sector Sales Lead for France, you will be the face of Anthropic to the French State. This is a founding, zero-to-one role: there is no public sector team in France today, and you will build our strategy, our routes to market and our first strategic relationships from the ground up. Reporting to our EMEA South leadership, you will lead the adoption of safe, frontier AI across central government, starting with the largest ministries. You will work hand in hand with our Public Policy lead in Paris, because in few companies is policy as central to the mission as it is at Anthropic, and with Partnerships, Legal, Security and Product to put in place the commercial and compliance frameworks the State needs in order to work with us at scale. This is a senior individual contributor role. We expect you to have run a public sector business and led teams, and to be energised by stepping back into a hands-on seat where you build it yourself and where the size of your team says nothing about the size of your scope. In the first year, success is measured less by a large number and more by putting Anthropic on the map with the French State: a clear strategy, the right foundations and our first strategic agreements. Responsibilities Define and own Anthropic's public sector go-to-market strategy for France: where we play first, how we win, and what we need to build to get there Be the senior face of Anthropic to the French State, building trusted relationships with ministerial cabinets, senior officials and digital and technology leaders across the largest ministries, including defence, finance and justice Own the full sales cycle on our first strategic public sector opportunities, from first engagement through procurement route, close, deployment and expansion Work with Partnerships, Legal and Finance to put in place the routes to market the State needs, including resale and partner channels, framework agreements and central purchasing bodies such as UGAP Partner day to day with our Public Policy lead in France so that commercial and policy engagement reinforce each other, and stay aligned with French and European AI strategy and regulation Lead the conversation with customers on data sovereignty, security and compliance (for example SecNumCloud and the State's cloud doctrine), and work with Security, Legal and Product on how we meet those requirements Prove value with customers alongside a shared Applied AI architect, cloud providers and systems integrators, doing much of the groundwork yourself in the early stages Learn from and contribute to our UK and US public sector teams, bringing what works to France and sharing what you learn Create the playbooks, references and operating rhythm that will let us scale a public sector team in France over time You may be a good fit if you have 15+ years in enterprise technology sales, including significant time running a public sector business unit or leading sales teams that sell to French central government The appetite to move from a leadership role into a hands-on senior individual contributor role with no team at the outset Evidence that you thrive building from zero: a new market, a new business line or an early-stage company, where systems, processes and support were not yet in place A track record of landing large, complex and genuinely transformative agreements with major ministries, as the person leading the deal A deep, senior network across central government, and the credibility to engage at director and cabinet level as well as with technical teams Practical command of French public procurement, including tenders, framework agreements, central purchasing bodies and partner or resale routes Real expertise in data sovereignty, security and compliance requirements in the French State, and experience leading those conversations with customers Experience of, or a clear aptitude for, working closely with public policy or government affairs colleagues Ownership and resilience: you treat what is missing as something to build, and you bring colleagues with you to build it The technical curiosity to learn our products in depth and hold credible conversations with both engineering leaders and senior officials Fluent French and English, with excellent written and spoken communication in both Willingness to go through French security clearance (habilitation) should specific accounts require it A genuine commitment to safe and beneficial AI, and the ability to articulate why it matters for public institutions À propos du poste En tant que Responsable des ventes secteur public d'Anthropic pour la France, vous incarnerez Anthropic auprès de l'État français. Il s'agit d'un poste fondateur, à construire de zéro : il n'existe aujourd'hui aucune équipe secteur public en France, et vous bâtirez notre stratégie, nos voies d'accès au marché et nos premières relations stratégiques en partant d'une page blanche. Ce poste est rattaché à la direction EMEA Sud. Vous piloterez l'adoption d'une IA de pointe et sûre au sein de l'administration centrale, en commençant par les plus grands ministères. Vous travaillerez main dans la main avec notre responsable des affaires publiques à Paris — dans peu d'entreprises les politiques publiques sont aussi centrales à la mission que chez Anthropic — ainsi qu'avec les équipes Partenariats, Juridique, Sécurité et Produit, afin de mettre en place les cadres commerciaux et de conformité dont l'État a besoin pour travailler avec nous à grande échelle. Il s'agit d'un poste senior de contribution individuelle. Nous attendons de vous que vous ayez dirigé une activité secteur public et encadré des équipes, et que la perspective de revenir à un poste pleinement opérationnel vous enthousiasme : un poste où vous construisez vous-même, et où la taille de votre équipe ne dit rien de l'étendue de votre périmètre. La première année, la réussite se mesurera moins à un grand chiffre qu'à votre capacité à installer Anthropic auprès de l'État français : une stratégie claire, les bonnes fondations et nos premiers accords stratégiques. Responsabilités Définir et porter la stratégie de mise sur le marché d'Anthropic pour le secteur public en France : nos premiers terrains d'action, nos leviers de succès et ce qu'il nous faut construire pour y parvenir Incarner Anthropic au plus haut niveau auprès de l'État français, en nouant des relations de confiance avec les cabinets ministériels, les cadres dirigeants de l'administration et les responsables du numérique et de la technologie des plus grands ministères, dont la défense, les finances et la justice Piloter l'intégralité du cycle de vente sur nos premières opportunités stratégiques dans le secteur public, du premier contact au choix de la voie de passation, jusqu'à la signature, au déploiement et à l'extension Travailler avec les équipes Partenariats, Juridique et Finance pour mettre en place les voies d'accès au marché dont l'État a besoin : canaux de revente et de partenariat, accords-cadres et centrales d'achat telles que l'UGAP Collaborer au quotidien avec notre responsable des affaires publiques en France, pour que les démarches commerciales et politiques se renforcent mutuellement, en cohérence avec la stratégie et la réglementation française et européenne en matière d'IA Mener les échanges clients sur la souveraineté des données, la sécurité et la conformité (par exemple SecNumCloud et la doctrine « cloud au centre »), et travailler avec les équipes Sécurité, Juridique et Produit sur la façon dont nous répondons à ces exigences Démontrer la valeur auprès des clients en vous appuyant sur une expertise d'architecture Applied AI mutualisée, sur les fournisseurs cloud et sur les intégrateurs, en réalisant vous-même une grande part du travail de terrain dans les premiers temps Apprendre de nos équipes secteur public au Royaume-Uni et aux États-Unis et contribuer à leur travail, en important en France ce qui fonctionne et en partageant vos enseignements Créer les playbooks, les références clients et le rythme opérationnel qui nous permettront de faire grandir une équipe secteur public en France Ce poste peut vous correspondre si vous réunissez Plus de 15 ans dans la vente de technologies aux grandes organisations, dont une période significative à la tête d'une activité secteur public ou à l'encadrement d'équipes commerciales à destination de l'administration centrale française L'envie de passer d'un poste d'encadrement à un poste senior pleinement opérationnel, en contribution individuelle et sans équipe au départ Un parcours qui montre que vous vous épanouissez en construisant à partir de zéro : un nouveau marché, une nouvelle ligne d'activité ou une entreprise à ses débuts, là où les systèmes, les processus et les soutiens n'existaient pas encore Des accords majeurs, complexes et réellement transformateurs conclus avec de grands ministères à votre actif, en étant la personne à la tête de la négociation Un réseau dense et de haut niveau au sein de l'administration centrale, et la crédibilité nécessaire pour échanger au niveau des directions et des cabinets comme avec les équipes techniques Une maîtrise concrète de la commande publique française : appels d'offres, accords-cadres, centrales d'achat et voies de partenariat ou de revente Une véritable expertise des exigences de souveraineté des données, de sécurité et de conformité au sein de l'État français, et l'expérience de ces échanges avec les clients L'expérience — ou une aptitude manifeste — du travail en étroite collaboration avec les équipes affaires publiques ou relations institutionnelles Le sens de la responsabilité et la ténacité : ce qui manque est pour vous quelque chose à construire, et vous embarquez vos collègues dans cette construction La curiosité technique nécessaire pour apprendre nos produits en profondeur et tenir des échanges crédibles aussi bien avec les responsables d'ingénierie qu'avec les responsables publics de haut niveau Un français et un anglais courants, avec une excellente expression écrite et orale dans les deux langues La disponibilité pour engager une procédure d'habilitation de sécurité si certains comptes l'exigent Un engagement sincère en faveur d'une IA sûre et bénéfique, et la capacité d'expliquer pourquoi cela compte pour les institutions publiques 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: Ukraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a disciplined, highly autonomous Middle Next.js Developer to build and ship product features for one of our core D2C subscription products. You will own features end to end across a TypeScript monorepo — a Next.js App Router client, a Fastify + Payload CMS API on PostgreSQL, and Cloudflare Workers at the edge — from the moment you receive a task, through breaking it down, estimating, implementing, testing, and observability, to a clean release to production and confirmation that it works for real users. This is a hands-on engineering role suited for someone who treats production as the standard, not the finish line. Half-tested code, silent failures, and unverified AI-generated output are not acceptable. The codebase is convention-heavy — a layered Feature-Sliced Design structure with strict import rules — and you are expected to work inside those conventions rather than around them. You are accountable for every task you take on and for every area of the product you touch: if it breaks, regresses, or stays half-finished, that is yours to see through. We expect maximum autonomy and real involvement in the product — you work independently within a sprint, communicate risks before they become blockers, and escalate architectural decisions to senior engineers rather than guessing. KEY RESPONSIBILITIES FEATURE DEVELOPMENT - Build features across the Next.js client and the Fastify + Payload CMS backend according to product requirements - Write code that follows the team's Feature-Sliced Design layering, naming, and import conventions - Ship changes behind feature flags and A/B experiments, fully localized across every supported locale - Integrate third-party providers — billing, email/CRM, analytics — over REST APIs and webhooks QUALITY & RELIABILITY - Cover functionality with unit, integration, and e2e tests at the level the team expects - Run a thorough self-review before code review, and review teammates' code with the same rigour - Fix bugs and perform root-cause analysis for recurring issues - Optimize page and endpoint performance — rendering and caching strategy, database queries, bundle size SECURITY & OBSERVABILITY - Apply secure development practices: schema validation, access control, safe handling of secrets - Follow observability practices — structured logging, metrics, and alerts — using existing tooling COLLABORATION - Break down, estimate, and ship your own tasks to production within the sprint — and stay accountable for them after release - Own the areas of the product you work in: their stability, performance, and follow-up fixes - Surface requirement clarifications, estimate changes, and risks early and in writing - Escalate complex architectural decisions and critical risks to senior engineers QUALIFICATIONS MUST-HAVE EXPERIENCE - 2+ years of commercial React experience, including 1+ year with Next.js (App Router, Server Components, route handlers, rendering and caching strategies) and solid TypeScript - Node.js backend experience on a typed HTTP framework (Fastify, Nest, or Express) with PostgreSQL — REST API design, schema migrations, integrations over REST and webhooks (signature verification, idempotency, retries) — plus a working understanding of HTTP/REST, auth mechanisms, and web security fundamentals - Hands-on with the modern client stack: TanStack Query, Zustand, React Hook Form + Zod, Tailwind CSS, and a React component library such as HeroUI, MUI, or shadcn/ui - Experience with a code-first headless CMS on PostgreSQL (Payload, Strapi, Directus, or equivalent) — collections, access control, generated types, migrations - Testing and delivery discipline: e2e tests (Cypress or Playwright) and unit/integration tests (Vitest or Jest), Git flow, code review, working with CI - Daily use of AI development tools (Claude Code or equivalents), including configuring them for a project — context, instructions, rules, MCP/integrations — with full ownership of the quality, security, and correctness of generated code - English — B1+ LEADERSHIP ATTRIBUTES - Owns the outcome — takes a task from requirement to production without waiting to be pushed, and stays accountable for the result and the area it touches - Maximally autonomous and involved — needs a goal, not step-by-step instructions, and cares how the product performs, not just whether the ticket is closed - Verifies before trusting — treats AI output, third-party responses, and your own code as unproven until tested - Structured communicator — surfaces risks, blockers, and estimate changes early, in writing, in a remote team - Knows the edge of their scope — escalates architectural and security decisions instead of improvising them - Learns from incidents — fixes the root cause, not just the symptom LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Limassol Cyprus Workplace: OnSite About the product Total Battle is an MMO 4X strategy game with deep political systems and intense player-to-player interaction. Players build cities, forge alliances, fight monsters, and compete for dominance. The game runs on mobile and web, with millions of active players, which means every technical decision we make is felt at scale. Why this role exists Our framework team carries a wide mandate: we own the foundation that every game feature is built on — from the rendering and UI layer to the asset pipeline, build system, debug tooling, and developer documentation. That foundation has real problems today. 🎯Our mission: create a reliable foundation for product development — simple, fast, and high-quality — so that game features can be built without friction. Right now we have two codebases (C++ mobile, C# Unity), slow developer iteration cycles, UI that only engineers can touch, and technical constraints that limit what we can ship. This hire is part of the team that will fundamentally solve these problems — and make sure they never come back. What you'll work on Your area of ownership spans the full client platform stack: - Framework core and LibRocket integration - Game engine layer and cross-platform support - Tooling for artists, animators, and UI/UX specialists - Build pipeline, CI, and test infrastructure - App initialization and startup performance - Debug tooling and observability - Developer regulations and documentation Near-term tasks in the backlog include: building an extensible asset loader, reducing nullptr risk, improving code testability, lowering the cost of adding debug functionality, and moving to a unified build pipeline. Alongside this, the team is validating an experiment that may lead to building a new client from scratch — a significant greenfield opportunity. The north star We're working toward a single codebase across all platforms, where business logic is engine-agnostic and platform-specific code lives only at the framework level. Features will be isolated modules with explicit interfaces and dependencies. Artists and animators will be able to see their work in the game without a developer in the loop. The game will react to player actions instantly — no spinners, no rollbacks. And no waiting on store review to ship fixes. That's where we're going. Your job is to help get us there. Who you are We're looking for an engineer who goes deeper than the task description. When given a problem, you dig for the root cause before proposing a solution. You think in products: MVP first, iterate, measure against real metrics. You design APIs that don't become roadblocks six months later. - Self-directed: you work from a problem statement, not a step-by-step spec - Product-minded: you decompose work into deliverable slices and validate assumptions early - Strong system designer: your APIs are clean, flexible, and future-proof - Proactive: you identify problems others have accepted and propose solutions - Communicates clearly in Russian: your day-to-day communication with your direct team - Communicates clearly in technical English: written RFCs, code review, cross-team discussion We're not looking for someone who wants a clearly scoped ticket to execute, or someone whose primary motivation is building gameplay features. This team builds the platform that makes gameplay possible. Requirements - 3+ years of C++ (17+) or similar experience in a client application at a product company - Strong grasp of design principles and patterns (and knowing when not to use them) - Experience with task decomposition and iterative delivery - Proficiency in technical English (reading docs, writing RFCs, async collaboration) Nice to have - Active use of LLMs in your work to significantly boost your productivity - Experience with game engines or framework-level development - Commercial experience with Cocos2d-x - Experience with Unity (C#) - Familiarity with cross-platform build systems (CMake, CI pipelines) How we work You'll receive a problem, not a ticket. You're expected to explore the context, identify the root cause, propose and align on a solution, ship it, and then verify it worked based on feedback and metrics. Delivery is incremental: proof of concept to validate a hypothesis, then a full solution. Predictability matters as much as output. After 12 months, a great hire here is fully autonomous — picking up problems that span both technical and product dimensions, delivering in predictable increments, and raising the capability of the people around them.   Why join Scorewarrior - Onsite work in Limassol, Cyprus: We aim to provide a comprehensive benefits package that supports both your professional growth and comfortable life in Cyprus. You will work from our modern offices in Limassol, surrounded by a highly professional and passionate team that truly enjoys what they do. - Stable and transparent compensation, 13th salary, a bonus after successfully passing probation - Additional paid days (sick leaves, Christmas holidays, corporate conferences and events) - Full relocation coverage for you and your family, if not in Cyprus yet - Monthly allowance for preschool, school, and university expenses for employees’ children - Access to courses, learning platforms, and professional resources - Company-funded professional and language courses, books, and certifications - Access to gyms and sports facilities via SportBenefit - Private health insurance for you and your family members   Interview process 1 HR screening A conversation about your background, motivations, and what you're looking for. We'll also walk you through the role and answer your questions about the team and the product. 60 min · Video call 2 Experience-based interview A deep-dive into your past work with the team lead. We'll talk through specific decisions you've made, how you approach system design, and how you've handled ambiguous or cross-cutting problems. 90 min · Video call 3 Test task A practical assignment that reflects the kind of work you'd actually do on the team. Async · Reviewed with feedback 4 Test task review We walk through your test task together and explore how you broke down the problem, what tradeoffs you made, and how you'd iterate. This is also where we discuss how you work end-to-end — from understanding a problem to verifying the outcome. 90 min · Video call or On-site interview 5 Behavioral interview We talk through how you work, make decisions, and collaborate in real situations from your experience. Expect questions about how you've handled technical disagreements, navigated unclear requirements, or driven something forward under pressure. 90 min · Video call or On-site interview 6 Final interview A conversation about the bigger picture — where the company and the platform are going, your long-term goals, and how the two fit together. 60 min · Video call or On-site interview

Location: United Kingdom (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: Grafana Labs is seeking to grow our Business Value Engineer team and support defining, articulating, and quantifying business value across our products and services. As a member of the business value engineering team, you'll play a critical role in shaping the direction of this high-impact function. What You’ll Be Doing: Customer Insights : Collaborate with customers to uncover new opportunities for growth and profitability through personalized storytelling. Value Quantification : Develop compelling ROI/TCO models that identify value areas driven by new products, emerging trends, and market challenges. GTM Enablement : Enable pre/post sales teams through training, content development and support; ensuring our sales organization is equipped to showcase Grafana's value with customers. Value Storytelling : Partner with cross-functional teams to create a unified narrative that showcases Grafana's value proposition, aligning internal stakeholders and external messaging. Strategic Partnerships : Collaborate closely with Account Executives, Solutions Engineers, Observability Architects to define and articulate the business value of our products and services. What Makes you a Great Fit: Innovative Mindset : Possess a growth mindset, willing to learn new technologies and adapt quickly Value Engineering Expertise : 3-5+ years of experience in value management, consulting, or engineering; deep understanding of building quantitative and qualitative analyses. Data Storytelling Skills : Ability to analyze complex data sets, create compelling customer-facing stories, and communicate findings effectively from technical to executive level audiences. Cross-Functional Collaboration : Experience partnering with GTM leaders (Sales, Customer Success, Marketing & Finance) to define and align on Grafana's value propositions. Bonus Points For: 3+ years of Observability experience, preferably with Open Source tools like Grafana, Prometheus, or Loki Familiarity with the Open Source landscape and community If you're ready for a high-impact role that combines data analysis, storytelling, technology enablement, and partnership-building with cross-functional teams – we'd love to hear from you! Compensation & Rewards: In the UK, the OTE compensation range for this role is  £130,000 - £155,000.  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. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Job Description About the role Checkout.com http://Checkout.com is looking for an ambitious Staff Data Engineer to join our Data and AI Platform Team. Our team’s mission is to build a platform where you can create reliable, scalable, AI-powered streaming and batch data applications, and share data across Checkout.com http://Checkout.com to improve business performance. The Data and AI Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build AI use cases and data products aiming to solve business problems. Our focus is on maximising the amount of time engineers spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions. We're building for scale. As such, much of what we design and implement today is the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Key Responsibilities - Work with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platform - Leverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across the organisation whilst building strong relationships with engineers and engineering managers - Build tooling (modules/SDKs/DSLs) and associated documentation to foster the adoption of the streaming platform by enabling upstream teams and systems to easily publish data and deploy streaming applications - Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own streaming applications - Provide consultancy across the technology organisation to drive the adoption of the platform and unlock event-driven use-cases - Participate, translate, run and execute the collection of requirements and architecture/design initiatives into action plans - Provide hands-on support for all event-based systems including incident triage and root cause analysis About You While experience with our specific tech stack is a plus, we welcome candidates with a strong background in data systems who are eager to learn. The core remit of this role is to own and scale our event streaming capability, not to serve as a general DevOps or infrastructure engineer. - Strong presentation and communication skills with a proven track record of influencing engineering organisations - Strong engineering background with a track record of implementing and owning event streaming platforms - Hands-on experience working with stream technologies, ideally Kafka - Experience designing and implementing stream processing applications with Flink - Experience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS) - Experience with Kubernetes (either self-hosted or on the cloud) - Experience with SQL databases - Experience working with Docker, container deployment and management - Experience describing infrastructure as code (Terraform or similar) as well as designing and implementing CI/CD pipelines - Excellent programming skills with at least one of Java or Python Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Sydney, Australia 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 APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. As we scale in APAC, we are establishing an initial in-region enablement presence, based in Sydney and supporting the field across the region. As Enablement Lead, you will be hands-on in getting the APAC field ready: onboarding, ongoing skill development, manager coaching support and launch readiness, across GTM functions, not just sales. You will spend most of your time in the room, running sessions, building programmes and working directly with sellers and managers, in the time zones and languages where customer conversations happen. This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to adapt it for APAC, deliver it across the region, and feed what you learn back into the international and global programme. How we work: adults learn by doing, so we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell. This takes creativity and a solid understanding of how adults learn, applied at speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable: endless practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content. Key responsibilities Set up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a feedback loop into the global programme Adapt the international portfolio for APAC, where content for several markets needs to be written and translated ahead of delivery Personally design and facilitate deal walkthroughs, role-plays and customer-conversation rehearsal, favouring practice over presentation Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows Own launch readiness for the region, so that when a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else Build the measurement habit: track what the field does differently afterwards, not content shipped or attendance Minimum qualifications 8+ years in GTM enablement, sales productivity or similar roles, including experience leading or running enablement programmes Experience delivering GTM enablement in APAC, ideally across more than one of the region’s markets Experience influencing beyond your own team or region, such as a programme adopted elsewhere or a senior stakeholder whose decision you changed Hands-on track record designing and running practice-first enablement, measured by changes in field behaviour A working understanding of how adults learn, and comfort helping experienced sellers unlearn pre-AI habits Creativity with AI in your craft: personalised practice, real-deal scenarios and fast feedback rather than more content Experience owning programmes end to end, from design through delivery and measurement Experience enabling a field across languages and cultures, and knowing what breaks when English-first content ships as-is Comfort working with sales leaders as a peer, including pipeline reviews, deal inspection and forecast conversations Good judgement on when to adapt global programmes and when to adopt them as-is Strong candidates may also Have held both a global and an APAC enablement role Have run enablement delivered across multiple APAC markets Have helped build or scale an enablement function Have carried a quota or led sellers earlier in their career Have enablement experience in AI, developer platforms or technical products sold to both executives and builders Have built manager or coaching programmes, not just individual-contributor enablement 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.

BetterHelp is one of the world’s largest online therapy platforms for mental health professionals who want to focus on client care without admin or overhead. Therapists provide expertise while BetterHelp handles administrative tasks. Why Join BetterHelp: — New hourly compensation: $55 - $70 per hour for live sessions. — $650 Health Benefit Stipend available for those committing 30 hours a week. — No insurance issues, no clawbacks, no payment delays; weekly payments for every session. — AI documentation support. — 70% of clients use insurance, helping build and sustain a strong caseload. — Therapist Perks Program offering exclusive discounts on clinical tools, professional resources, and wellness benefits. Additional Benefits: — Fully remote work from home. — Flexible schedule with self-set hours. — Free access to 390+ CEU courses. — Free BetterHelp membership for self-care. — Additional bonuses and incentives for high performers. — Zero overhead; no fees collected from therapists. — Autonomy over clinical decisions. — Access to a community of over 30,000 therapists. Requirements: — Licensed as LCSW, LPC, LMFT, LMHC, Licensed Professional Counselor, or Psychologist/PsyD. — Minimum 3 years of mental health counseling experience. — Master’s or Doctorate degree in Counseling, Psychology, Social Work, or Marriage & Family Therapy. — Fully independent license allowing therapy without supervision. — U.S. residency, private workspace, reliable internet, and professional liability insurance. — Private and professional environment for sessions. — Excellent written communication skills. — Must currently reside in the U.S. Note: Interns or those requiring supervision cannot apply. Substance abuse counselors, school counselors, registered nurses, career counselors, Christian counselors, and business coaches without an additional mental health counseling license are not accepted.

BetterHelp is one of the world’s largest online therapy platforms for mental health professionals who want to focus on client care without admin or overhead. Therapists provide expertise while BetterHelp handles the rest. Why Join BetterHelp: - New increased hourly compensation: insurance sessions pay 40% - 57% more in select states. - $650 Health Benefit Stipend available for those committing 30 hours a week. - No insurance headaches, clawbacks, or payment delays; weekly payments for every session. - AI documentation support. - 70% of clients use insurance, helping build and sustain a strong caseload. - Therapist Perks Program with exclusive discounts on clinical tools, professional resources, and wellness benefits. - $1,000 first client bonus for seeing first insurance client within 30 days of applying. Additional Benefits: - Fully remote work from home. - Flexible schedule with self-set hours. - Free access to 390+ CEU courses. - Free BetterHelp membership for self-care. - Additional bonuses and incentives for high performers. - Zero overhead; no fees collected from therapists. - Autonomy over clinical decisions. - Access to a community of over 30,000 therapists. Requirements: - Licensed as LCSW, LPC, LMFT, LMHC, Licensed Professional Counselor, or Psychologist/PsyD. - Minimum 3 years of mental health counseling experience. - Master’s or Doctorate in Counseling, Psychology, Social Work, or Marriage & Family Therapy. - Fully independent license allowing therapy without supervision. - U.S. residency, private workspace, reliable internet, and professional liability insurance. - Private and professional environment for sessions. - Excellent written communication skills. - Must currently reside in the U.S. Note: Interns or those requiring supervision cannot apply. Substance abuse counselors, school counselors, registered nurses, career counselors, Christian counselors, and business coaches without an additional mental health counseling license are not accepted.