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Location: Bangalore Workplace: hybrid Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. Responsibilities ·  Optimize Hubspot Strategy for full funnel alignment with Marketing, Sales, and Customer Success teams. ·   Work with the Growth Marketing team to build and scale Merkle Science’s marketing operations & insights ·   function, creating the right marketing operations framework, automation, and reporting to accelerate our growth. ·   Standardize campaign processes around lead capture, data capture, assignment, notification and other workflows. ·   Develop reports that help the marketing team analyze key KPIs including marketing channel performance and effectiveness, funnel conversion rates, and other key conversion metrics. ·   Build the attribution model for the marketing organization and help clearly define the marketing impact on the growth of the company. ·   Manage ongoing projects and effectively communicate status across stakeholders. ·   Balance long-term projects with day to day changes and demands across a dynamic go to market organization. ·   Serve as primary system administrator for marketing operations platforms and integration points. ·   Draft documentation and update ongoing documentation around new and existing system architecture Requirements ·       2-4 years of experience in Marketing Automation / Marketing Operations in a B2B SaaS environment ·       Hands-on experience with HubSpot and Salesforce is a must ·       Attention to detail is your way of life. You nit-pick every little detail - from why a field is not populated, to why it is attributed differently, to why it is even spelt wrong. ·       You like to work in a team environment with a lot of cross-functional collaboration. ·       Bonus Points For Hubspot certification and/or SFDC certifications   ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time.  Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange.  Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. As a Data Engineer on this team – you'll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast. Your Mission & Who We Are Looking For: - Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second.  - Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You'll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed.. - Pipeline bottlenecks don't survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference. - You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus. - The bridge between Data Science and Backend. You've worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus. - Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn't optional. Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus.  🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.  What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.   - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Montenegro; Slovenia; Slovakia; Moldova; Romania; Poland The position is open for a global, publicly traded AdTech market leader. The company's platforms handle over 1 trillion requests per day, operating within a highly optimized real-time cloud architecture across dozens of servers and processing terabytes of data daily. The engineering team focuses on intense performance optimization, low-latency infrastructure, asynchronous data streaming, and cutting-edge GenAI research and development. Salary: upto $5,000 USD / month. Format: Full-time. Hybrid (Budva, Montenegro) or 100% Remote globally Contract Type: B2B Contract Responsibilities Design, scale, and maintain real-time advertising bidding systems (DSPs, RTB Exchanges, and SSP platforms). Optimize backend services using Java (Spring Boot / WebFlux) and Go (Golang) to meet strict low-latency SLA/SLO targets. Build and manage data-intensive architectures utilizing high-load storage solutions (Aerospike, ClickHouse) and event-driven messaging (Apache Kafka). Participate in R&D initiatives involving GenAI, integrating Agentic AI frameworks (LangChain, LangGraph, N8N) for workflow automation and predictive analytics. Take full ownership of features end-to-end, contributing to the frontend layer (React / TypeScript) for internal tools and dashboards when required. Requirements 5+ years of commercial software development experience with Java as the primary language. Deep knowledge of the Spring ecosystem (Boot, Data, MVC, Security, Cloud) and strong practical experience with reactive/asynchronous programming (Spring WebFlux / Project Reactor). Solid understanding of distributed systems, concurrency, and performance tuning at the JVM level. Strong verbal English skills at B2 level or higher, with the ability to explain architectural decisions and collaborate directly with a global engineering team during voice calls. Location outside of the Russian Federation due to contractual and payment restrictions. Candidates from Belarus are eligible only if they possess an active legal entity/IP in Georgia or Europe for international payments. Commercial programming experience or strong familiarity with Go (Golang). Hands-on experience with high-load and Big Data tools including Apache Kafka, ClickHouse, and Aerospike. Real-world experience or deep interest in LLMs and AI orchestration tools such as LangChain, LangGraph, or N8N. Familiarity with frontend development using ReactJS and TypeScript. Benefits Opportunity to work on production infrastructure handling 1 trillion + daily requests. Work within a team of senior engineers with direct impact on the platform's architecture. Choice between a fully remote schedule or a hybrid format from the office in Budva, Montenegro. Stable monthly payments in USD via international B2B contracts.

Location: Philippines; Jamaica; Ethiopia; South Africa; Egypt; Morocco About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and technology platforms in industries such as SaaS, MarTech, FinTech, eCommerce, and digital services. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an innovative early-stage music technology company building a catalog intelligence platform that empowers rights owners with greater visibility, management, and clarity over their music assets. The company develops SaaS infrastructure solutions designed to streamline operations within the music and rights management ecosystem. As a rapidly scaling startup, they are seeking a highly organized Project Manager to help implement operational systems, improve execution, and ensure teams remain aligned with strategic objectives. Job Summary We are looking for a highly proactive and execution-focused Project Manager to oversee day-to-day operations, optimize internal systems, and ensure cross-functional teams consistently deliver on priorities. This role is ideal for someone with startup project management experience who thrives in fast-paced environments and can create structure, accountability, and operational clarity across technical and non-technical teams. The ideal candidate has experience managing agile workflows, coordinating remote teams, implementing project management systems, and proactively solving operational bottlenecks. Key Responsibilities Systems Implementation & Workflow Management Establish and optimize project management systems using tools such as Jira, Linear, Notion, or Monday.com Create and maintain a centralized source of truth for projects, timelines, and workflows Improve operational efficiency through structured documentation and scalable processes Sprint Planning & Execution Manage daily and weekly sprint cycles to ensure deliverables stay on track Coordinate priorities across teams and proactively identify potential risks or blockers Monitor deadlines and ensure projects progress efficiently Team Accountability & Coordination Drive accountability across departments to ensure tasks are completed on time Conduct regular follow-ups and remove operational bottlenecks Facilitate clear communication between stakeholders, leadership, and execution teams Operational Oversight Conduct daily check-ins and monitor communication channels including Slack and Google Workspace Ensure smooth coordination across ongoing initiatives and prevent workflow disruptions Track project progress and prepare status updates for leadership Meeting & Action Item Management Attend team meetings, capture action items, and ensure timely follow-through Maintain visibility into ongoing priorities and execution timelines Help leadership stay aligned with operational and strategic objectives Requirements 3+ years of experience in project management, operations, or startup coordination roles Proven experience working in early-stage startups or fast-paced tech environments Strong understanding of agile methodologies and sprint management Experience using project management tools such as Jira, Linear, Notion, Monday.com, or similar platforms Excellent organizational, communication, and stakeholder management skills Highly proactive with strong problem-solving abilities Comfortable working independently in a remote-first environment Strong attention to detail and ability to manage multiple priorities simultaneously Experience in SaaS, music tech, or technology startups Familiarity with Outreach, Slack, and Google Workspace Calendar management and operational coordination experience Experience supporting cross-functional product and engineering teams Benefits 💰 Competitive salary based on experience and qualifications. 🌎 Fully remote role with the opportunity to work with an international SaaS startup. 🚀 Join an early-stage technology company building complex infrastructure in the music industry. 📈 High-impact role with direct influence over operations, delivery, and company growth. 🛠️ Own and improve project management systems, workflows, and execution processes. 🎯 Work closely with a fast-moving team where your structure and leadership will make an immediate impact.

Location: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities We are looking for a Software Architect Platform Services to play a key role in shaping the software architecture of our remote access, control, and support solutions. In this highly collaborative role, you will work closely with cross-functional teams to design and evolve our software architecture using the latest technologies and best practices. This is an exciting opportunity to drive innovation, make a tangible impact, and contribute to a culture that values engineering excellence, agility, and teamwork. Conceptualize and design platform-independent, scalable, secure, reliable and high-performing cloud / SaaS solutions Develop guidelines and best practices around architecture which will be relevant for the whole organization Contribute to solution designs incorporating AI capabilities, intelligent services, and automation, with an understanding of how AI frameworks can be effectively integrated into software architectures to increase business value. Provide technical leadership, coaching, guidance and support our platform development teams when it comes to any architectural topic Conduct technical assessments and proof of concepts, and evaluate design and implementation approaches Create and maintain comprehensive and accurate documentation of architectural designs, processes, decisions and best practices Keep up to date with the latest technological trends and advances in software architecture, cloud computing and related areas and initiate improvements based on them Requirements University or college degree in Computer Science, Business Informatics, Software Engineering, or any related subject 9+ years of professional experience in the field of object-oriented software development using C++ or .NET (C# in particular) combined with extensive knowledge around SQL and NoSQL databases such as MS SQL, Cassandra or Scylla Proficient knowledge and experience in the following areas: architectural and coding design patterns; distributed, high-available and scalable systems; service-oriented architecture (i.e. microservices) and containerization (e.g. Kubernetes) Familiarity with cloud management platforms and infrastructure automation tools are a plus Experience in deploying and managing applications in Azure, AWS or Google Cloud are a plus Familiarity with integrating or leveraging AI services or frameworks in software architectures is a plus. Structured and analytical way of thinking and working, being a team player, as well as motivated to learn new things Strong collaboration and communication skills to clearly convey technical solutions Fluency in English is mandatory, further languages such as German are a plus TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Product Backend Engineer on Harvey’s product engineering team, you will design and operate the backend systems that turn cutting-edge AI capabilities into seamless, dependable product experiences. You’ll build secure, multi-tenant services, orchestrate interactions with LLMs and agentic tools, and help define the backend architecture that powers Harvey’s rapidly expanding product surface. Your work will have immediate business and customer impact as you ship the foundational systems behind our next generation of AI products. WHAT YOU'LL DO - Collaborate closely with Product to prioritize customer-focused work and deliver reliable features quickly in a fast-moving environment. - Design and own backend services and APIs that power Harvey’s web applications, workflows, and integrations. - Model and manage data in Postgres and related data stores to support low-latency, reliable user experiences. - Build secure, multi-tenant, permissions-aware systems with appropriate auditing for enterprise and government customers. - Implement backend features and workflows that use LLMs and agentic tools, orchestrating calls to our AI systems from robust, well-structured services. - Collaborate with frontend, product, and design partners to shape solutions, define clear API contracts, and ship features end-to-end. - Add meaningful logging, metrics, and tracing so services are observable, debuggable, and ready for on-call ownership. - Improve performance and scalability by profiling bottlenecks, tuning queries, and refining service boundaries as usage grows. - Participate in code reviews, technical design discussions, and an on-call rotation for the services you own. WHAT YOU HAVE - 10+ years of backend engineering experience building and operating production web applications or SaaS products. - Track record of building fast-growing SaaS products by leveraging PWA technologies - Track record of shipping highly intuitive products, strong attention to detail - Strong programming skills in Python and experience with a modern web framework (e.g., FastAPI or Flask). - Hands-on experience with relational databases (e.g., Postgres) - Solid understanding of API design, authentication/authorization, background job patterns, and robust error handling. - Experience building for Cloud Infrastructure such as Azure, AWS, or GCP. - Comfort operating services in production using logs, metrics, dashboards, and alerts, including participation in an on-call rotation. ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice.. #LI-DM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States Workplace: Remote About the role This role will be the first BD and Growth hire at Whetstone Research. Responsibilities 1. Lead institutional growth for Doppler http://doppler.lol - sales, BD, and the strategic relationships that turn warm intros into bespoke production deployments 2. Build Whetstone's institutional surface: funds, asset managers, banks, fintechs, and corporates that want to bring or use assets onchain. 3. Be the translation layer between institutional buyers and our protocol teams - feeding product, integration, and regulatory signals back so we build what the market actually needs 4. Help us know what we don't know. Which institutional segments are shipping next, which are noise, and where should we be skating to? What we're looking for We believe that the time for Institutions to come onchain is here. After a decade of whitepapers and pilots, institutions are finally getting serious. BlackRock, Apollo, Franklin Templeton, JPM, Fidelity, and dozens of others have moved from "exploring" to live deployments. Within the next 24 months many of these organizations will decide which protocols and infra the billions or even trillions behind them actually settle on. We want someone who already lives at that intersection and wants to own Doppler's seat at the table. You probably have a warm rolodex inside one or more of: the digital assets desks at major banks (JPM, GS, BNY, Citi), crypto-native institutional players (Fidelity Digital Assets, Galaxy, BitGo, Anchorage, Coinbase Institutional), the tokenization teams at TradFi asset managers (Apollo, Hamilton Lane, Franklin Templeton, WisdomTree), or the new infra layer (Securitize, Ondo, Superstate, Figure). You understand why Doppler's novel approach to protocol design matters to a treasurer thinking about a tokenized bond just as much as to a coin launch on Zora - and ideally, you can hold a credible conversation about settlement risk with a CIO in the morning and MEV with a protocol team in the afternoon. Even better if you've previously built an institutional book from zero at another crypto-native company, or led the digital assets push inside a TradFi institution and are now ready to do it onchain for real. You're comfortable being a player-coach for the first 6 months - running the meetings, writing the memos, closing the deals yourself - before building the team around you. Generally, we hope that you love this industry as much as we do, that you've been watching tokenization mature long enough to know the difference between the real deals and the theater, and that you're as terminally online as we are. About Whetstone Research Whetstone Research is focused on designing and building new protocols that accelerate the future of onchain markets. The team is less than 15 people with deep hands on experience in the blockchain industry; previously at Uniswap, AAVE, Aztec, Hedera, and other household big tech names like Google, Amazon, or LinkedIn. We build Doppler - custom market infrastructure for new asset classes. Doppler has created over 14 million new digital assets that have done over $2 billion in lifetime trading volume. Let's build the future of onchain markets together.

Location: Algiers, Algeria Workplace: hybrid Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. About the role In this role, you will be part of our growing and international engineering team, working with a high-quality code base and the latest tools, where you will promote your skills to be an expert in complex backend development, including microservices architecture, using Node.js,. You will own and build large scale backend systems and micro-services. You will design, develop, and deliver powerful server-side applications in a highly dynamic environment, where root cause analysis and rapid problem-solving are required. About your role as “Senior Back-end Engineer” Build robust and scalable software in Node js. Design and create (micro)services and system architecture for projects, and contribute and provide feedback to other team members Help improve existing code quality through writing unit tests, automation and performing code reviews Participate in brainstorming sessions and contribute ideas to our technology, algorithms and products Work with the engineering and design teams to understand end-user requirements, formulate use cases, and then translate that into a pragmatic and effective technical solution Dive into difficult problems and successfully deliver results on schedule About your experience

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

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

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Developer Platform product team and a strategic thought partner to its product leads. You’ll help set product direction for the Claude Developer Platform, spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You’ll bring a point of view on where to invest, how to grow our platform business, and how to deliver more value for the developers and enterprises building on Claude. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions. Responsibilities: Act as a strategic thought partner to Developer Platform product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Developer Platform, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing the platform, from how developers and enterprises adopt it to how AI agents are being built and deployed at scale, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Developer Platform measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters Set the standard for experimentation and causal inference across Developer Platform, including where API and B2B products make clean experiments hard, and personally lead the highest-stakes analyses Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners, including go-to-market teams Establish foundational data practices and shape the analytics infrastructure Developer Platform needs to support rapid iteration and decision-making as our products grow You may be a good fit if you: Have extensive experience in data science, including leading analytics for a product area at significant scale Have 3+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product and business leaders on API or developer-facing products, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment for developer and B2B products, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $460,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

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

Location: Tashkent, Uzbekistan We are a UAE-based trading company acting as a commercial bridge between Chinese manufacturers and international buyers. Our product portfolio includes padel courts, ball machines, sports equipment, and retractable metal roofing structures. Contracts and invoices are handled through our UAE entity; goods ship directly from China to the end customer worldwide. Our sales team operates from Tashkent and works with buyers across Central Asia, the Middle East, and beyond. The Role You will be the primary commercial driver in our Tashkent office — identifying buyers, building relationships, and closing deals on high-value B2B equipment. This is not an account management role. We need someone who can open doors. What You’ll Do • Prospect and develop new clients: sports clubs, hotels, resorts, developers, distributors, and construction companies • Manage the full sales cycle: outreach → qualification → proposal → negotiation → close • Prepare commercial offers and coordinate with the UAE office on pricing and contracts • Follow up on leads generated through inbound channels and trade directories • Track pipeline and report weekly on activity and forecasted deals •. Manage daily pipeline tasks and execute timely prospect follow-ups • Represent the company at relevant industry events and trade shows when needed Requirements • 2–5 years of B2B sales experience — equipment, construction, sports infrastructure, or import/trading preferred • Proven track record of closing deals, not just generating leads • Strong negotiation skills and commercial instinct • Comfortable working with international clients and cross-border logistics realities • Languages: Russian and/or Uzbek required; English is a strong advantage • Self-starter — this role has autonomy and expects results without hand-holding Nice to Have • Existing network in sports facility development, hospitality, or construction • Experience working with Chinese-sourced products or import/export deals • Familiarity with CRM tools Benefits • Base salary + uncapped commission on closed deals • Work from a growing company with a lean, international team • Real ownership over your pipeline and results • Opportunity to grow with the business as the Tashkent office expands

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

Location: Salt Lake City, Utah, United States iCapital is seeking an exceptional Data Engineer to help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and high‑quality solutions. Data sits at the core of iCapital’s operations. The firm relies on clean, reliable, well‑structured data to drive decision‑making, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights. Responsibilities Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive iCapital business growth and enable data-driven decision making. Design and develop reusable components and frameworks for ingestion, cleansing, and data quality. Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse. Design data models for optimal storage and retrieval that represent the tangible business domains across iCapital’s ecosystem. Coordinate closely with the Operations, Sales, and Product Development teams daily to push iCapital’s FinTech strategy and improve the overall profitability of the business. Qualifications 6-10 years of professional experience in a data engineering or data-driven software engineering role Exceptional Python and SQL skills Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.) Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub) Experience developing and deploying code to Cloud environments (AWS, GCP, Azure) Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code Experience leveraging stream processing frameworks (Kafka, Flink, Spark) Knowledge of infrastructure-as-code frameworks (terraform or cloud formation) Detail-oriented and able to multitask and work in a fast-paced environment Able to work independently while also being a strong team player Excellent written and verbal communication Passionate about learning and mastering cutting-edge technologies Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred Knowledge of financial markets and financial instruments is preferred Benefits The base salary range for this role is $100,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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

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