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Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is seeking a talented and experienced Senior Search Engineer to join our team and help revolutionize our search capabilities. As a key member of our engineering team, you'll be responsible for optimizing and enhancing our search functionality, which is a critical feature of our platform and underpins our AI efforts. Your impact at ClickUp As a Senior Engineer on the Search squad, you'll be responsible for designing, optimizing, and scaling our search infrastructure. Our platform is built as backend services on top of Postgres and OpenSearch, focused on real-time search ingestion and serving. You'll work hands-on with these systems to ensure users can instantly find exactly what they need across their workspace. Your expertise will directly contribute to making ClickUp the most intuitive and responsive productivity platform available. Core Responsibilities - Design and implement robust search solutions that scale with our rapidly growing user base - Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds - Improve our real-time indexing pipelines to ensure search results remain up-to-date - Create measurement frameworks to evaluate and improve search quality - Build and enhance vector search capabilities to power next-generation search experiences - Collaborate with AI, backend, and product teams to integrate search into new features - Troubleshoot complex search-related issues at scale - Design and implement robust search solutions that scale with our rapidly growing user base - Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds - Improve out real-time indexing pipelines to ensure search results remain up-to-date - Create measurement frameworks to evaluate and improve search quality - Build and enhance vector search capabilities to power next-generation search experiences - Collaborate with AI, backend, and product teams to integrate search into new features - Troubleshoot complex search-related issues at scale Technical Requirements: - Bachelor's degree in Computer Science or related field - 5+ years of experience as a search engineer or in a directly related role - Hands-on production experience with OpenSearch or ElasticSearch (strongly preferred); Solr experience considered but less ideal given its age - Experience with high-scale, real-time data ingestion and search serving in a backend services context. - Proven ability to optimize query parsing, indexing, and relevance tuning for search systems - Experience measuring and optimizing search quality Preferred Qualifications: - Background in search ranking, relevance algorithms, and information retrieval - Hands-on experience with vector embeddings and semantic search implementations - Experience with TypeScript in backend systems - Track record of architecting search solutions that maintain performance under heavy load - Experience applying machine learning and NLP to enhance search relevance Join Our Mission At ClickUp, we're committed to building the future of productivity software. As our Search Engineer, you'll play a crucial role in shaping the core functionality of our platform and driving our AI initiatives forward. Join us in our mission to make the world more productive! #LI-REMOTE #LI-AK2 #LI-CC1       Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

КТО НАМ НУЖЕН: Ищем Marketing Data Analyst / BI Analyst, который поможет построить единую систему аналитики маркетинга и продаж в международном e-commerce бизнесе. Нам нужен специалист, который сочетает сильный SQL, BI и data modeling с пониманием performance marketing, e-commerce и marketplace economics.

Location: Remote USA Workplace: remote ABOUT XSOLLA Xsolla is a global video game commerce company headquartered in Los Angeles. It helps developers from indie to AAA fund, distribute, market and monetize their games, and acts as merchant of record for 1,500+ developers worldwide. For more information, visit xsolla.com. The role We are hiring a Software Engineer, Web3 for Xsolla ZK , Xsolla 's Web3 ecosystem on a zkSync-based L2. It includes: smart wallets built on account abstraction; SDKs that game studios and partners use to bring players on-chain; infrastructure backend services for tokenizing in-game items and currencies; ecosystem dApps: a DEX , an NFT marketplace and an auction. This is a senior fullstack role: you work across backend, frontend and smart contracts. WHAT YOU WILL OWN Features end to end: backend, frontend and production The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets Production operation of your services, as part of the team's on-call rotation WHAT YOU WILL DO Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs Build infrastructure backend services for tokenizing in-game items and currencies Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI Integrate smart wallets into products: accounts, paymasters, bundlers Develop SDKs used by game studios and partners Monitor services and contracts in production and take part in on-call Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Required Experience 5+ years of commercial software development, with senior-level production experience across backend and frontend dApps that you shipped to production and maintained Web3 libraries and wallets viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271) Backend Go and TypeScript (Node.js) for production services Processing on-chain events: idempotency, reorg handling, retries Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS ): delivery guarantees, ordering, reprocessing Relational databases (PostgreSQL) and caching (Redis) Designing REST and gRPC APIs: versioning, backward compatibility Frontend React and TypeScript: rendering model, state management, performance Web security fundamentals: XSS , CSRF , CSP , safe handling of signatures and keys in the browser Smart contracts Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes Common contract vulnerability classes (reentrancy, front-running / MEV , oracle manipulation, signature replay) and how they affect the off-chain side Operations Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production Engineering practices Testing: unit, integration, E2E Git, CI/CD (GitLab CI or similar) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Spoken English at B2 level or higher Nice to have zkSync / ZK Stack and the specifics of the zk -rollup stack Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792 DeFi: DEX and AMM mechanics NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics L2 infrastructure: running nodes, indexers, bridges Designing SDKs for external developers Gaming domain experience HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. THE TEAM You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote (worldwide) Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Location: Russia Workplace: remote ABOUT XSOLLA Xsolla is a global video game commerce company headquartered in Los Angeles. It helps developers from indie to AAA fund, distribute, market and monetize their games, and acts as merchant of record for 1,500+ developers worldwide. For more information, visit xsolla.com. The role We are hiring a Software Engineer, Web3 for Xsolla ZK , Xsolla 's Web3 ecosystem on a zkSync-based L2. It includes: smart wallets built on account abstraction; SDKs that game studios and partners use to bring players on-chain; infrastructure backend services for tokenizing in-game items and currencies; ecosystem dApps: a DEX , an NFT marketplace and an auction. This is a senior fullstack role: you work across backend, frontend and smart contracts. WHAT YOU WILL OWN Features end to end: backend, frontend and production The on-chain / off-chain architecture of your product: what lives in contracts, what lives in services, and how the two stay consistent. You make these decisions and justify them in writing Security and correctness of what you ship: signing flows, interactions with contracts that hold user assets, keys and secrets Production operation of your services, as part of the team's on-call rotation WHAT YOU WILL DO Build backend services in Go and TypeScript: chain indexing, transaction relaying, event processing, APIs for dApps and SDKs Build infrastructure backend services for tokenizing in-game items and currencies Build dApp frontends in React: wallet connection, transaction signing, on-chain state in the UI Integrate smart wallets into products: accounts, paymasters, bundlers Develop SDKs used by game studios and partners Monitor services and contracts in production and take part in on-call Review code Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively Required Experience 5+ years of commercial software development, with senior-level production experience across backend and frontend dApps that you shipped to production and maintained Web3 libraries and wallets viem and wagmi in production: clients and transports, contract reads and writes with typed ABIs, event subscriptions, wagmi hooks and connectors, caching and invalidation of on-chain state How wallet signers work: EOAs, browser and embedded wallets, smart accounts; personal_sign (EIP-191) and typed data (EIP-712); the EIP-1193 provider; network switching Hands-on experience with smart wallets: UserOperations, gas sponsored via paymasters, signature validation for contract accounts (ERC-1271) Backend Go and TypeScript (Node.js) for production services Processing on-chain events: idempotency, reorg handling, retries Asynchronous messaging and event-driven design (Kafka, RabbitMQ or NATS ): delivery guarantees, ordering, reprocessing Relational databases (PostgreSQL) and caching (Redis) Designing REST and gRPC APIs: versioning, backward compatibility Frontend React and TypeScript: rendering model, state management, performance Web security fundamentals: XSS , CSRF , CSP , safe handling of signatures and keys in the browser Smart contracts Reading and understanding Solidity contracts and the EVM (storage, gas, call semantics, proxy upgrade patterns, access control) well enough to integrate with them safely and review changes Common contract vulnerability classes (reentrancy, front-running / MEV , oracle manipulation, signature replay) and how they affect the off-chain side Operations Containers and orchestration (Docker, Kubernetes) at the level of deploying and debugging your own services Observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts): metrics, logs, tracing and alerting for services and contracts; diagnosing incidents in production Engineering practices Testing: unit, integration, E2E Git, CI/CD (GitLab CI or similar) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Spoken English at B2 level or higher Nice to have zkSync / ZK Stack and the specifics of the zk -rollup stack Designing, writing and testing smart contracts in Solidity with Foundry; deploying and upgrading them safely Building ERC-4337 infrastructure yourself (bundlers, paymasters); EIP-6963, EIP-5792 DeFi: DEX and AMM mechanics NFTs and marketplaces: ERC-721, ERC-1155, auction mechanics L2 infrastructure: running nodes, indexers, bridges Designing SDKs for external developers Gaming domain experience HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. THE TEAM You will work alongside product managers, designers, smart contract, backend and frontend engineers, QA and DevOps. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

About Airship: Airship is a technology company providing a platform for managing omnichannel customer experience, trusted by leading brands like Alaska Airlines, BBC, and The Home Depot. Their platform enables seamless, unified customer experiences across multiple channels including apps, websites, email, SMS, and wallets, using a no-code, AI-powered system designed for non-technical teams. About the Role: As a Backend Java Engineer, you will design, develop, and support distributed systems that combine scale with high reliability. You will work on low-latency services processing continuous event streams and supporting analytical workloads across terabytes of data. The backend infrastructure runs on Google Cloud Platform, using Java-based microservices and SQL and NoSQL databases. You will join a core engineering team shaping Airship’s technical foundations and engineering practices. Tasks: — Design data schemas and take ownership of data semantics — Maintain, improve, and scale Java APIs and distributed services — Investigate performance issues using server metrics, application data, and system behavior — Improve reliability, testability, and maintainability of backend systems — Partner with product and engineering teams on technical design and implementation — Help define technical standards across teams — Lead and own large-scale releases and technical projects — Use AI as a technical assistant to draft development plans and investigate problems or bugs — Critically assess AI-generated suggestions for accuracy, security, and suitability Requirements: — At least three years of experience designing, operating, and maintaining distributed systems — Professional fluency in spoken and written French (required) — Strong Java development skills — Experience with unit testing, code reviews, documentation, and Git-based version control — Experience leading significant releases or technical projects — Familiarity with continuous integration and continuous delivery practices — Strong written and verbal communication skills — Collaborative and pragmatic approach to software development — Commitment to building reliable, maintainable, and testable systems Preferred: — Experience troubleshooting and improving JVM performance — Experience with Google Cloud Platform — Knowledge of distributed NoSQL databases or key-value stores — Strong Linux administration fundamentals Work Location & Travel Requirements: — Remote work allowed, specifically candidates must live in France or the United Kingdom and have the existing right to work there — Up to 10% travel may be required based on business needs or manager requests Compensation: — Starting pay varies based on skills, experience, market demands, and location — All offers include stock options Benefits & Perks: — Medical insurance options for employees and dependents — Flexible time off, paid holidays, parental leave, and volunteer time off — Employer-subsidized mental health and wellness programs — Digital-first work environment with monthly stipend for remote work — Mentorship and growth opportunities AI in Recruiting: — AI tools are used as decision-support only — Human review of AI-generated recommendations is conducted — No applicant is rejected solely based on AI output — Candidates may request human review or opt out of AI evaluation Hiring Commitment: — Airship is committed to diversity and equal employment opportunities — Employment decisions are made irrespective of protected characteristics — Fair Chance laws compliance for applicants with criminal histories Candidates affirm the truthfulness of their application and understand that false information may lead to dismissal.

Location: United Kingdom; Spain Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote, anywhere in Spain or the UK. Contract: Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain) UK: Full-time, permanent Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most: Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom What You'll Do: Design, implement, and maintain data models using dbt within our cloud data warehouse, ensuring performance, cost efficiency, and alignment with business logic Build and maintain finance and revenue data models, including order-to-revenue flows, recognition logic, and reconciliation against source-of-truth financial systems, that finance and commercial teams can rely on for reporting and forecasting Own the order-to-revenue pipeline: ensuring every order correctly and traceably resolves into recognized revenue, with clear handling of refunds, adjustments, currency conversion, and edge cases Collaborate with other analytics engineers and data engineers to build and scale ELT workflows that ensure data freshness and reliability for mission-critical reporting Partner with Finance and the ERP systems integrator to validate that data models and definitions carry over correctly from legacy systems into the new ERP/EPM platform Implement robust testing, documentation, and monitoring practices, acting as a steward of data quality and governance across the platform, with particularly high attention to detail in domains where small errors compound (e.g., revenue, finance) Collaborate cross-functionally  to translate complex business questions into scalable, production-ready data artifacts Partner with the data analysts and domain leadership to drive the rollout and adoption of self-service analytics, ensuring business users can trust and independently explore the data models you build Contribute to the evolution of our modern data stack, bringing curiosity and pragmatic judgment to new tools and approaches Must Haves: Bachelor's/Master's degree in a quantitative field (statistics, economics, mathematics, computer science, or equivalent work experience) Hands-on experience building finance and/or revenue data models, ideally including order-to-revenue or billing-to-revenue pipelines, revenue recognition logic, or financial reconciliation (ERP, billing platforms or similar) 5+ years in analytics engineering, data engineering, or analytics roles with significant modeling responsibilities Strong SQL and data modeling skills, with demonstrated experience designing robust, scalable dimensional models Exceptional attention to detail, especially when working with numbers that feed financial reporting, reconciliation, or external disclosure Significant hands-on experience with dbt (Core or Cloud) for managing transformation logic, testing, and documentation Familiarity with cloud data platforms (BigQuery) and data orchestration tools (Airflow, Dagster, or similar) Experience working with modern BI platforms and semantic layers-LightDash experience is a strong plus Track record of partnering with analysts and business stakeholders to translate requirements into well-structured data products Strong communication skills, with the ability to explain complex data concepts to diverse audiences Proactive self-starter who thrives on solving ambiguous problems and takes ownership from concept to production Nice to Have: Experience in marketplace, telecom, or travel/mobility businesses Background in B2C product companies with high-volume event data Experience building analytics engineering capabilities in low-maturity data environments Previous experience at a scale-up that went through hypergrowth Experience defining and governing company-wide KPIs and metric frameworks Experience working alongside or within a finance function (e.g., supporting FP&A, revenue accounting, or audit processes) on data accuracy and traceability Why People Join Us 🇪🇸 Why people join us in Spain We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact. For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home. 🇬🇧 Why people join us in the UK We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers. Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it's available: 📍 UK: £74,800 – £112,200 📍 Spain: €77,600 – €116,400 📍 Germany: €76,000 - €114,000 Your Home Destination: 🛫 Local market rates and cost of living vary. Your specific range within this band depends on where you're based, and there's room to discuss what's right for the person and the role. We'll walk through your range together on your first call with our Talent team so we're aligned for takeoff! 🎒✨

Location: Georgian office; Yerevan, Yerevan, Armenia About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Our goal is not just to build technology, but to build the future operating model for our clients. Tech stack Core: Java, Spring Boot, RxJava, Redis, MySQL, Apache Kafka Additional technologies: Vespa, Elasticsearch, OpenSearch, Vector Search Technologies, AI/ML Infrastructure, Docker, Kubernetes Key responsibilities Design, develop, and maintain scalable, high-performance backend services using Java and Spring Boot Take ownership of complex technical challenges, from identifying problems and proposing solutions to implementation and production delivery Contribute to architectural decisions and continuously improve system performance, scalability, and reliability Develop and optimize APIs, microservices, integrations, and event-driven systems using Kafka Proactively identify technical bottlenecks, propose improvements, and drive engineering initiatives Troubleshoot complex production issues and ensure high standards of code quality and maintainability Participate in technical discussions, code reviews, and architectural planning Collaborate with product and engineering teams to translate business requirements into reliable technical solutions Contribute to the development and optimization of search functionality and AI-powered features as needed Must-have qualifications 8+ years of hands-on software engineering experience, with deep expertise in Java and production-grade backend development Strong proficiency in Java and Spring Framework / Spring Boot Architect-level technical expertise, including the ability to design complex backend systems, evaluate architectural approaches, and make sound technical decisions Strong understanding of distributed systems, microservices, scalability, performance optimization, fault tolerance, and reliability Solid experience with Redis, MySQL, and Apache Kafka Experience with reactive programming (preferably RxJava) Strong experience designing and developing APIs, backend services, and complex integrations Proactive and self-driven mindset: ability to identify problems and opportunities, propose solutions, develop actionable plans, and take ownership of implementatio Nice-to-have qualifications Experience with Java 25+ Experience developing and optimizing high-performance search systems Hands-on experience with full-text search, vector search, or semantic search technologies Production experience with Vespa, OpenSearch, Elasticsearch, Weaviate, Pinecone, Milvus, Qdrant, or similar platforms Experience building Retrieval-Augmented Generation (RAG) solutions Familiarity with AI/ML infrastructure and pipelines, including integrating machine learning models into production services Experience with embeddings, ranking, indexing, recommendation systems, and AI-powered services Knowledge of cloud platforms and containerized environments (Docker, Kubernetes) Experience with observability, monitoring, and performance analysis tools Previous experience in Staff, Principal, or Architect-level engineering positions Working hours Candidates must be available to overlap with the New York team from 9:00 AM to 1:00 PM ET . The remaining working hours are flexible. We offer Freedom to Develop - equal opportunity to learn and grow professionally Clear career and professional path, strong performance management system Social Benefits Package Equipment English lesson Gym membership All the advantages of working in an international IT company Flexible vacation time Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Gergian legislation. All employment is decided based on qualifications, merit, and business need.Learn more about Lineate at our website: www.lineate. com

– Разрабатывать AI-решения поверх нашей платформы: agentic workflows, tool calling, RAG, memory и human-in-the-loop контуры. – Проектировать multi-agent системы без жёсткой привязки к конкретному фреймворку или SDK — с логикой взаимодействия агентов, состоянием, памятью, маршрутизацией и обработкой ошибок.

Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a SDK Engineer - Python to join our SDK team and own how developers talk to Supabase from Python. You'll work closely with the rest of the SDK team, our Auth, Realtime, Storage, PostgREST, Functions, CLI and Docs teams, and the open-source community, helping us make the Python SDK a library Python developers genuinely enjoy using. Python developers reach Supabase from backend services, data pipelines, notebooks, and a growing number of AI agents and agent frameworks. The Python SDK is how all of them talk to the platform: database queries, auth, storage, realtime and edge functions, in both sync and async flavors. This is a library-authoring role, and the work happens in the open: public repos, public issue trackers, and API decisions whose consequences last for years. If you get satisfaction from a type checker that catches the bug before your users do, from an async client that cleans up after itself, and from an issue tracker that isn't a graveyard, you'll like it here. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU'LL BE RESPONSIBLE FOR - Build and evolve our Python SDK across database, auth, storage, realtime and functions, with both sync and async APIs that feel natural in Python. - Start new things. Alongside the maintenance work, find what's missing, make the case for it, and build it. Nobody will hand you the list. - Work in the open. Triage inbound issues, review and shepherd outside contributions, keep CI and release automation healthy, and hold a clear, kind line on scope. - Own the typing experience. Make the SDK fully typed and checker-friendly, so autocomplete and static analysis stay correct in real codebases. - Keep us honest across environments. Multiple Python versions, sync and async frameworks, workers, serverless and notebooks — with dependency ranges that don't fight our users' projects. Test it, don't assume it. - Work on realtime. Long-lived websocket connections, reconnection, and subscription and presence semantics. - Track the platform. When auth, realtime, storage, postgrest or edge functions ship a change, make sure the SDK reflects it, and that we say so in the changelog. - Design in public. Write the RFCs, migration guides, release notes and docs. Treat a breaking change as a deprecation path plus a migration story, not a version bump. - Make our SDK legible to AI coding agents, which are now a major consumer of it. YOU MIGHT BE A GOOD FIT IF YOU - Know modern Python typing deeply. You use generics, protocols, overloads and TypedDict as design tools, run strict type checking, and fix type errors without reaching for Any. - Have authored or maintained a published library with a public API and users outside your own company. You know what it costs to change something people depend on. - Know the maintainer side of open source. Issue triage at volume, reviewing outside PRs, release automation, changelogs and semver, security reports, and saying no to a feature request without losing the person who asked. - Are fluent in asyncio and have opinions on how a library should serve both sync and async callers. - Know Python packaging for libraries: pyproject.toml, wheels, modern tooling, version support policy, and why libraries shouldn't pin their dependencies tightly. - Test as a habit: unit, type-level and end-to-end against a real stack. Every fix comes with a regression test. - Write well. Design docs, changelogs and issue replies are a large part of the output here, much of it public, and we're async by default. - Have real autonomy: you find the important work, scope it, ship it, and say what you didn't do. - Communicate clearly across both technical and non-technical audiences - Have experience in async or globally distributed teams - Are energized by solving real-world problems for developers - Are comfortable navigating ambiguity and moving quickly Bonus points if you: have run a major-version migration for a public package, know your way around JWT/OAuth, have built integrations for AI agent frameworks, or have generated idiomatic clients from a schema. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: New York; Charlotte; Atlanta; Washington D.C.; Boston Workplace: Remote WHY PRODUCT ENGINEERING AT LANGFUSE Your work will have an outsized impact. Everything you build is open source (MIT-licensed) and immediately visible. Langfuse has 35,000+ GitHub stars and our SDKs are downloaded more than a hundred million times per month. When you ship a new feature the community notices in GitHub issues, on X, and in our community channels. Product engineers at Langfuse are the people who deliver new features end-to-end to our users. You own the product thinking from understanding the user problem to deciding what to build to shipping the solution. You will also have direct exposure to how cutting-edge LLM applications are built. The users you serve are some of the best and most ambitious software engineers leveraging Langfuse to improve their applications. Deeply understanding the problems they solve will help you design the best possible product and along the way makes you an expert on LLM engineering yourself.   YOU WILL GROW AT LANGFUSE BY - Own features end-to-end: from talking to users, to writing the spec, to shipping the code and docs, to writing the changelog post https://langfuse.com/changelog with your name on it. To give you a sense: recent features a single engineer owned include the Langfuse for Agents https://langfuse.com/changelog/2025-11-05-langfuse-for-agents release (new trace views, agent graphs, semantic span labels), the TypeScript SDK v4 https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga rewrite on OpenTelemetry, and managing dashboards via API/CLI/MCP https://langfuse.com/changelog/2026-07-17-dashboard-and-widget-operations-in-api. - Work across the full stack: and we mean full. Our surface area is wide: React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs, public docs, Terraform modules, and more. You'll touch whatever the feature needs. One week you might be writing a new ClickHouse query for cost analytics, the next you're designing an SDK API, the next you're building a new rust worker for faster data processing. - Talk to users constantly: jump on calls, respond in community channels, and route support requests. At Langfuse, support is how we build conviction about what to build next. Our handbook says it best: support by engineers is a core value proposition. - Write public documentation about the features you own. At Langfuse, docs are product. - Ship publicly during Launch Weeks: we've run four Launch Weeks https://langfuse.com/blog/2025-10-29-launch-week-4 so far, dropping a new feature every day for a week. Engineers present the features they built to the community.   WHAT WE’RE LOOKING FOR - Someone who has built features or even entire products from scratch end-to-end - Experience building and shipping user-facing products end-to-end, ideally in TypeScript/React and with exposure to data-intensive backends - Someone who can manage projects themselves. You know how to develop strong conviction about what to build and how to ship it. - Taste for great developer experience: you care about API design, UI details, and clear documentation - Interest in open source software and genuine excitement about talking to developers about their problems - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred Bonus points: - Experience with ClickHouse, analytics databases, or building complex data visualizations - Former founder or early startup experience - Contributions to popular open source projects - ML/AI background or familiarity with the LLM framework ecosystem No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

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. About the Role We are seeking a Senior Business Intelligence Specialist to lead the development of high-impact analytical solutions and cohesive data experiences that drive insight to action at scale. Operating at the intersection of business, analytics, and engineering, this role leads the translation of complex data challenges into scalable, intuitive solutions. The Sr BI Specialist serves as a senior full stack BI developer and subject matter expert within a business domain, partnering closely with the BI Manager, Central BI Team, and Data Engineering to set technical direction, mentor junior team members, and ensure solutions are designed and deployed in accordance with best practices and enterprise standards. Key Responsibilities Analytics Strategy & Delivery • Partner with BI Managers to shape and drive the analytics vision, strategy, and roadmap; independently lead workstreams and influence prioritization in alignment with organizational objectives. • Translate ambiguous business questions and problems into structured, scalable analytics solutions. • Rapidly prototype analytics solutions to gather early stakeholder feedback and iterate efficiently, reducing time-to-insight; serve as a model for agile delivery practices across the team. Solution Design & Development • Partner with Data Engineering to architect and implement end-to-end BI solutions — from data ingestion and modeling to visualization — setting technical standards and design patterns that scale across the team and enterprise. • Build performant, maintainable dashboards and reports using modern BI tooling (e.g., DOMO, Tableau, Looker). • Own and optimize domain data models that underpin reliable, consistent reporting; conduct peer reviews to ensure quality and maintainability across the team’s solutions. Standardization & Scalability • Proactively drive standardization of analytics solutions; lead initiatives with the Central BI Team to scale them into enterprise-wide capabilities. • Lead the development of reusable components, templates, and frameworks for the shared analytics library, guide adoption across the BI team. • Champion consistent KPI definitions and reporting standards within the business domain. Data Governance & Quality • Align on domain-specific data models and KPI definitions in close collaboration with the Central BI Team and business stakeholders. • Work with the Central BI Team and Data Engineering to proactively identify, troubleshoot, and resolve data quality issues; lead root cause analyses and own remediation plans to prevent recurrence. • Ensure data lineage, documentation, and governance practices are created and maintained for all owned solutions. Stakeholder Engagement • Act as a trusted analytics partner to business stakeholders, translating data insights into clear, actionable narratives. • Lead demos, training sessions, and enablement workshops; develop scalable self-service programs to drive broad adoption of BI tools and solutions. • Gather and synthesize stakeholder feedback to continuously improve analytics products; translate feedback into prioritized enhancements on the team roadmap. Qualifications Education & Experience • Bachelor's degree in Computer Science, Information Systems, Statistics, Business Analytics, or a related field (or equivalent practical experience). • 8+ years of hands-on experience in Business Intelligence, Data Analytics, or a closely related role, with demonstrated growth in scope and complexity. • Demonstrated track record of delivering enterprise-scale analytics solutions that directly influenced strategic business decisions and measurable outcomes. Technical Skills • Expert-level proficiency across one or more major BI platforms — DOMO, Tableau, Looker, etc. • Expert level SQL skills — complex queries, window functions, CTEs, query optimization. • Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery, Databricks). • Expertise in data modeling concepts: star/snowflake schemas, dimensional modeling, semantic layers, and performance tuning at scale. • Experience with Python or R for data wrangling and exploratory analysis. Analytical & Business Acumen • Strong ability to decompose complex business problems into clear analytics requirements. • Experience defining and documenting KPIs and business metrics in collaboration with stakeholders. • Proven ability to present data-driven insights to both technical and non-technical audiences. Collaboration & Soft Skills • Strong communication skills — written, verbal, and visual storytelling. • Comfortable navigating ambiguity and working iteratively with stakeholders. • Strong cross-functional collaboration skills; experience working with a COE is a plus. • Self-starter with a continuous improvement mindset and attention to detail. 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 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: Argentina; Ukraine; Poland; Brazil Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior QA Engineer to join a team building and validating AI-powered and traditional features for a leading personal finance platform. You’ll own quality across web, mobile, and API — with a particular focus on testing AI/LLM-integrated components where standard deterministic methods don’t apply. This role requires someone who understands the fundamental difference between testing software that has a right answer and evaluating AI outputs that have a probability distribution — and who has done both in production. WHAT YOU’LL DO - Plan, design, and execute test cases for AI-powered components and traditional features, applying the appropriate methodology — eval-based or deterministic — based on the target behavior. - Analyze traditional functional requirements as well as AI model behavior specifications, prompt outputs, and edge-case scenarios. - Turn business requirements, user flows, and business process procedures into comprehensive test plans, test cases, and test scripts. - Perform manual feature testing across platforms and verify bug fixes. - Create clear, detailed defect reports and document unexpected AI model responses, hallucinations, and performance regressions. - Assist in developing QA practices for emerging technologies including AI frameworks, and disseminate best practices across the team. - Become a subject matter expert in core systems, interfaces, business processes, and reporting tools. - Partner closely with functional teams, engineers, and IT in a global environment with aligned LATAM working hours. REQUIRED SKILLS & EXPERIENCE - 5–7 years of experience in software testing across web, mobile, and API. - Hands-on experience with Playwright in a production testing environment — this is a primary requirement for this role. - Hands-on AI feature testing experience — validating AI/LLM-integrated products for accuracy, relevance, robustness against adversarial prompts, edge cases, and safety/toxicity. - Clear understanding of eval vs. deterministic testing — the difference between pass/fail based on exact input/output and evaluating probabilistic AI outputs using human-in-the-loop evaluations, score metrics, benchmark datasets, and semantic evaluation. - Strong understanding of web and mobile application development lifecycles including iOS and Android specifics. - Proven experience in integration, regression, performance/load, and UAT. - Hands-on knowledge of browser DevTools and log monitoring. - Advanced proficiency in Jira and Confluence. - Experience with test management systems. PREFERRED QUALIFICATIONS - Experience with HTML proxy tools such as Charles Proxy or Fiddler. - Hands-on knowledge of Xcode logs and ADB logs. - Experience in the financial services or fintech domain. - Bachelor’s degree in Computer Science or equivalent. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Remote - United States Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. As a Growth Marketing Manager, you’ll build the systems that make our marketing fast and agile. The tools and tactics in the age of AI change constantly, but what lasts is the underlying system: clean signal data, a scoring model that routes it, and reusable workflows the team can build on. You’ll own that system, using automation and AI to turn a week of work into an hour. You’ll own the end-to-end demand generation engine that translates market signals and buyer intent into measurable pipeline and revenue impact. You’ll connect audience intelligence, multi-channel campaigns, lifecycle engagement, and sales activation into scalable, repeatable growth motions. You should be able to pull the data, architect a target list, generate the creative, and ship a multi-channel campaign using AI tools and systems, while ensuring every campaign, data point, and automation strengthens the broader growth engine. WHAT YOU WILL OWN - The Core Growth Motion: Build reusable campaign systems: templates, automations, and workflows to spin up integrated campaigns without rebuilding from scratch each time. Run priority campaigns end to end, from targeting and messaging through multi-channel execution and pipeline accountability. - Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) that move contacts from first touch through consideration toward sales readiness, rather than sending high-intent accounts directly into cold sales outreach. Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program. - Work at the Intersection of Data, AI, and Marketing: Use signals, scoring, AI tools, and connected workflows to identify who to target, determine the next best action, and execute campaigns efficiently. Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors. - Product Fluency and Technical Storytelling: develop a deep understanding of our product, its technical capabilities, use cases, and competitive differentiation. Partner with Product Marketing for relevant, value-driven campaigns. WHO YOU ARE - Demand Gen Experience: 3-5+ years in demand generation, growth marketing, or lifecycle marketing, running campaigns end to end in B2B tech, ideally toward technical audiences or for open-source products. - Lifecycle Expertise: hands-on experience building, measuring, and optimizing cohort-based nurtures via email and in-app. - Builder Mindset: you're not just an operator. You build the workflows instead of relying on an existing machine, pull and shape data yourself to build lists and scoring, and you're fluent in signal and scoring tools. - Systems-Level Thinking: you execute the task in front of you while understanding how each campaign, workflow, and data point feeds the broader growth engine. - Technical Workflow Fluency: you're familiar with agentic approaches and think in connected tools and automated workflows, not manual steps. - Problem Solving: you work from a goal and can identify the steps and systems needed to get there. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE

Location: São Paulo, Brazil; Bogotá, Colombia; Buenos Aires, Argentina; Lima, Peru; Santiago, Chile We are hiring in Latin America! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite a Senior Analytics Engineer to join a technology consulting firm focused on the wholesale distribution industry and the Infor CloudSuite Distribution ecosystem. In this role, you’ll lead the design, implementation, and ongoing support of business intelligence solutions, taking ownership of the analytics stack, from ERP data and data modeling to dashboards and reports for end users. You’ll work across different data sources and platforms, helping clients get accurate, consistent reports and building reusable solutions for future projects. 🟩 What's in it for you: Take on complex, hands-on analytics work and help shape a growing analytics practice Work across modern analytics platforms, including Microsoft Fabric, Power BI, and Infor Birst Own end-to-end BI solutions that turn ERP data into trusted reporting for day-to-day business decisions ✅ Is that you? 10+ years in BI, analytics engineering, or data warehousing, including client-facing or multi-business-unit delivery Strong Power BI expertise: data modeling, advanced DAX, Power Query/M, performance tuning, deployment management, and row-level security Hands-on Microsoft Fabric experience: lakehouses/warehouses, Dataflows Gen2, pipelines, and semantic models Advanced SQL and query tuning for large transactional tables ETL/ELT design, including incremental loads, slowly changing dimensions, error handling, and scheduling Dimensional modeling: star schemas, fact tables, conformed dimensions, and data grain Experience extracting ERP data and reconciling reports against the system of record Ability to turn ambiguous business needs into technical designs and explain them to non-technical stakeholders Upper-Intermediate+ English level for confident client communication Strong documentation skills and experience supporting production analytics solutions Willingness to learn and work with additional analytics platforms Experience using AI tools in development and interest in conversational analytics Desirable: Strong Azure data platform experience alongside Microsoft Fabric Hands-on Infor Birst skills: spaces, logical modeling, connectors, dashboards, and security Familiarity with Infor CloudSuite Distribution, SX.e, or Infor ION/Data Lake and their underlying data structures Experience with Phocas or similar distribution-focused BI products Wholesale distribution knowledge: order-to-cash, purchasing, inventory, pricing, margins, and fill rates Experience with ERP-embedded analytics tools and the trade-offs of extending versus replacing them Python or Spark for data transformation; Git and CI/CD for analytics assets Microsoft certifications (PL-300, DP-600, DP-700) or equivalent Experience in consulting, MSP, VAR, or ERP partner environments, supporting multiple client tenants Familiarity with Power Automate, Power Apps, and Dataverse 🧩 Key responsibilities and your contribution In this role, you'll lead the development, implementation, and ongoing improvement of analytics solutions for clients. Design and build data platforms in Microsoft Fabric; lead Power BI implementations end to end Establish analytics governance standards for clients Lead Infor Birst implementations, extensions, and ongoing support; build and maintain spaces, logical models, hierarchies, measures, and security filters against Infor CSD data Extend and troubleshoot CSD dashboards and reports; resolve data refresh, connector, and performance issues Profile data from Infor CSD and related systems, and design reliable, low-impact extraction and ingestion processes Preserve raw data for reprocessing; handle change capture and deletes to prevent data loss Ingest non-ERP data and map it to conformed dimensions for analysis alongside ERP data, resolving data inconsistencies during ingestion Monitor solutions with failure alerts, row-count and freshness checks, and schema-drift detection; document recovery steps Build and maintain pipelines that transform ERP data into dimensional models for analysis Write and tune SQL; implement incremental loads and data quality checks Support clients using platforms such as Phocas with data feeds, mapping, model design, and ERP integration; advise on platform suitability and maintenance costs Use AI tools to improve development, data profiling, documentation, and testing; deliver conversational analytics, prepare semantic models for natural-language queries, and evaluate emerging AI analytics capabilities Translate distribution business needs into data requirements and working solutions; create technical documentation, runbooks, and handover materials Train and support client power users in extending analytics content Build reusable templates, models, and accelerators to facilitate future implementations I nterested? 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Location: Remote, Any, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We're looking for a Partner Solutions Architect to own the global technical relationship with Snowflake and Databricks. Snowflake and Databricks are two of Fivetran + dbt Labs’ largest platform alliances. This is a global role scoped to those two partners. For each, you will own the technical alliance plan worldwide, the joint technical narrative, and our joint integration and roadmap priorities with each partner to drive cosell revenue. You will also own our technical presence at major milestones such as Snowflake Summit and Databricks Data + AI Summit, our two largest partner events. Functionally, the role sits at the intersection of field engineering, product management, partnerships, and partner marketing. Your closest counterparts are the global alliance managers for Snowflake and Databricks, the regional partner sales managers who run the Snowflake and Databricks motions in AMER, EMEA and APJ, the geo partner solutions architects, and product managers across both product lines. You will report to the global head of partner solutions architecture. This is a full-time position, which can be either remote (US) or hybrid depending on location. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Own the global technical alliance plans for Snowflake and Databricks. Build each plan with the partner's alliance and product leadership, agree it with our own, and drive it through both field organizations. Own the joint technical narrative and the capability messaging for the combined dbt + Fivetran platform on Snowflake and Databricks, including reference architectures, integration patterns, and the joint value story that partners and sellers use with customers. Build reusable collateral, playbooks and enablement assets for the broader partner solutions architecture team and for the partners delivering on Snowflake and Databricks. Maintain a single, current view of integration state, gaps and opportunities across the combined platform on Snowflake and Databricks, covering ingestion, transformation, Fusion, the semantic layer, catalog and metadata, open table formats, and agent and MCP interfaces, and collaborate with our Product organization to drive the right outcomes. Serve as the primary technical counterpart to the partner engineering and partner product teams at Snowflake and Databricks, and run the standing technical cadence with each. Own our technical presence at Snowflake Summit and Databricks Data + AI Summit, including hands-on labs, sessions, demos, and the technical readiness of the team who staff each event. Partner with the regional Partner Solutions Architects and Partnerships organization so global alliance strategy turns into regional execution, and so they can run the motion without you in the room. Travel approximately 30% for alliance planning, technical workshops, executive meetings and partner events, including international travel. Skills We’re Looking For 6+ years in solutions architecture, sales engineering, partner engineering, technical product management, developer relations, or another customer-facing technical role in data and analytics. Fluency across the modern data stack (ingestion, transformation, orchestration, warehouses and lakehouses, open table formats, semantic layers, catalogs, BI, and the emerging agent and MCP layer) and the ability to explain how the pieces fit. Hands-on knowledge of Snowflake and/or Databricks, plus strong SQL and data modeling fundamentals, with genuine technical credibility in front of partner engineers. Sound product and strategic judgment and reasoning Strong presentation and facilitation skills for workshops, hands-on labs, keynote-adjacent sessions and large partner technical audiences. Proven ability to drive outcomes in ambiguous, fast-moving environments with multiple stakeholders Bonus Skills​ Experience owning a technical alliance, with a track record of shaping what a partner built and how the two products fit together Experience with partner-facing APIs, SDKs, drivers, or integration certification programs Background in product management or technical product marketing alongside a field engineering career Familiarity with cloud marketplace motions and co-sell programs OTE (On Target Earning) $209,748 — $262,185.60 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco; Remote; New York Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com. THE ROLE Build the systems that turn blockchain activity into data developers can use. Alchemy’s Data Services work includes token, portfolio, and transfer APIs, with streaming in the updated roadmap. You will own backend projects from ingestion through serving, making data correct, fresh, and fast to query. You will work with Product and customer-facing teams to understand what developers need, then ship improvements and measure their effect on reliability, performance, and cost. WHAT YOU WILL DO - Build and operate blockchain ingestion, indexing, storage, and API-serving systems. - Handle reorganizations, retries, duplicate events, and historical backfills without silently losing or corrupting data. - Improve query performance and data freshness. Make those properties observable to the team and understandable to customers. - Extend API capabilities and chain coverage, with tests for differences in chain behavior and data semantics. - Develop streaming and event-delivery capabilities with explicit guarantees for ordering, replay, and failure recovery. - Reduce the cost of storing, processing, and serving data through measured changes to architecture and query execution. - Participate in production support and incident response for the systems you own. Maintain monitoring, runbooks, safe rollouts, and fixes that prevent recurrence. WHAT WE ARE LOOKING FOR - A track record of independently designing, shipping, and operating production backend or distributed data systems. - Strong programming skills in a production backend language, plus experience with databases, indexing, and query performance. - Experience reasoning about consistency, partitioning, asynchronous processing, and failure recovery. - Evidence that you can diagnose a production problem and improve the system beyond the immediate fix. - Sound API design judgment, including compatibility, pagination, error handling, and data contracts. - Clear communication and the ability to turn an ambiguous customer problem into a scoped engineering project. Blockchain experience is helpful, but not required. You should be interested in learning how chain behavior affects data correctness. HELPFUL EXPERIENCE - ClickHouse or other analytical databases; Kafka or similar streaming systems. - Blockchain indexers, EVM logs and traces, finality, or non-EVM data models. - Developer-facing data APIs, real-time delivery, or large historical datasets. - Storage migrations and performance or cost optimization under production traffic. WHAT SUCCESS LOOKS LIKE Within three months: - You have shipped a customer-facing improvement and can show its effect on data quality, freshness, latency, or cost. - You own a production component, have tested its recovery behavior, and have proposed the next improvement using operational evidence and developer feedback. Benefits & Perks 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: New York; Remote; San Francisco Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com. THE ROLE Build and run the internal data platform that helps Alchemy understand product usage, revenue, and the cost of serving customers. The existing Data Engineer intake centers on ingestion, Snowflake operations, workflow orchestration, data quality, and collaboration with analytics partners. You will own ingestion, schema changes, and checks that show whether shared datasets are current and correct. You will work with analytics engineers and data scientists to define those datasets for reporting, analysis, and AI-assisted tools. WHAT YOU WILL DO - Build batch and streaming pipelines that connect operational databases, product events, billing systems, and external sources to the internal data platform. - Make ingestion recoverable through change-data capture, schema-change handling, idempotent processing, and safe backfills. - Operate and improve Snowflake, including access controls, workload management, query performance, and compute and storage costs. - Improve orchestration and deployment workflows so engineers can test, ship, and debug pipelines safely. - Build data-quality checks that detect stale, missing, duplicated, or inconsistent records before they reach downstream consumers. - Work with analytics partners on shared data models, source definitions, and documentation. Make dataset ownership and upstream dependencies clear. - Reduce recurring manual work and build reusable tools for self-service data access. - Participate in production support and incident response for pipelines and the data platform. Restore data flow, reconcile affected datasets, and fix the causes of recurring failures. WHAT WE ARE LOOKING FOR - Experience independently building and operating production data pipelines and the infrastructure around them. - Strong SQL and Python skills, including testing, debugging, and maintainable software design. - Experience with Snowflake or a comparable warehouse, including performance tuning and access management. - Experience with workflow orchestration and transformation tools such as Airflow and dbt, or equivalent systems. - Understanding of data modeling, incremental processing, schema evolution, and data-quality testing. - The ability to trace a data discrepancy from a downstream report back to its source, explain the cause, and fix it. - Good judgment about stakeholder needs: turn recurring requests into reusable datasets or tooling, and make trade-offs clear. Blockchain experience is not required. HELPFUL EXPERIENCE - Kafka, database replication, or change-data-capture systems. - Apache Iceberg, Spark, Trino, or other lakehouse and query technologies. - Infrastructure as code, data observability, lineage, and disaster recovery. - Usage metering, billing and revenue data, or semantic layers for self-service analytics. WHAT SUCCESS LOOKS LIKE Within three months: - You own a production pipeline and have shipped an improvement to its freshness, reliability, or operating cost. - Downstream users can see whether its data is current, recovery procedures have been tested, and a recurring manual request has become a reusable dataset or tool. BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/