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Location: Dhahran, Saudi Arabia; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar We are looking for an experienced Data and AI Architect to lead the development of enterprise data architecture and integrate AI and MLOps capabilities. The role will focus on enabling trusted analytics, scalable AI solutions, and strong data architecture and governance practices across the organization. Key Responsibilities Lead the development and evolution of the enterprise data architecture, incorporating AI and MLOps capabilities. Design scalable and robust data architectures to support analytics, AI, and business requirements. Enable the trusted and effective use of enterprise data for analytics and AI solutions. Establish and maintain data architecture and governance practices across the organization. Support the scalable deployment and integration of AI solutions within the enterprise. Collaborate with business, technology, data, and AI teams to align architecture with organizational objectives. Requirements Requirements Bachelor’s degree in Computer Engineering or an equivalent qualification. 15+ years of relevant professional experience in data architecture, enterprise architecture, AI, or related fields. Strong experience in enterprise data architecture and data governance. Knowledge of AI architecture and MLOps and their integration with enterprise data platforms. Experience designing scalable data and AI solutions for enterprise environments. Strong communication, stakeholder management, and technical leadership skills.

Location: Poland; Romania; Slovenia; Slovakia; Greece; Portugal Intetics Inc. , a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and "all-things-digital" solutions, is looking for an AI Developer (LLM / RAG / Agentic AI) to join its innovative team. Project Responsibilities Design, build, and maintain LLM-based agents in production environments, both customer-facing and internal. Build MCP servers on top of existing databases and production systems, and orchestrate multiple internal and external MCP servers under a unified agent framework. Design and implement memory, context management, and RAG architectures for production use. Establish evaluation frameworks, handle edge cases, and continuously improve agent performance after release. Work within architectures that combine databases, APIs, interfaces, agents, and orchestration applications. Develop AI solutions using Amazon Bedrock and/or Microsoft Foundry. Collaborate with cross-functional teams to deliver scalable and reliable AI-powered products. Candidate's Portrait We are looking for a hands-on AI Engineer (Middle+ to Senior level) who has successfully delivered AI agents into production and can clearly explain implementation challenges, failure cases, and optimization approaches. The ideal candidate is passionate about AI, actively explores new tools and models, and has a proven track record building intelligent systems beyond experimentation. 1.5-2+ years of hands-on experience with LLMs and AI agents in production environments. Strong background in Machine Learning, Python development, or Data Science. Self-driven, innovative, and continuously learning emerging AI technologies. Must-Haves 6+ years of overall experience in IT as a Software Engineer, ML Engineer, or AI Engineer. Hands-on production experience with Amazon Bedrock and/or Microsoft Foundry (Azure AI Foundry, Azure OpenAI). Proven experience building and deploying LLM-based agents to production, including customer-facing conversational AI and internal workflow automation agents. Strong experience with at least one agent framework: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, Strands Agents, or OpenAI Agents SDK . Deep MCP expertise, including building MCP servers on top of existing databases and systems, integrating external MCP servers, and orchestrating multiple MCP services under a single agent. Strong experience with production-grade RAG, memory, and context engineering, including: Embeddings Chunking strategies Hybrid search Reranking Vector databases Short-term and long-term agent memory Practical experience implementing agentic patterns such as: ReAct Planner-Executor Reflection Router Supervisor Multi-Agent Systems Human-in-the-Loop Experience with LLM evaluation, guardrails, monitoring, and iterative optimization based on production usage and failure analysis. Strong understanding of system architecture involving databases, APIs, agents, and orchestration applications. Hands-on experience with Docker and CI/CD pipelines. Nice-to-Have Experience in fintech, trading, investing, brokerage, or cryptocurrency-related products. Background in regulated industries with strong requirements around compliance, data protection, and AI output auditability. Broader AWS or Azure cloud expertise beyond AI services. Experience with LLM evaluation and observability platforms such as LangSmith, Langfuse, Ragas , or custom evaluation pipelines. Advanced practical expertise with modern agentic AI development tools and rapid prototyping approaches.

Location: Warsaw, Poland [EN] We are looking for an experienced Level Artist to join our art team. As a Level Artist, you will have the opportunity to shape immersive and visually captivating game environments. Your role will involve closely following references, and art direction to create levels that align with the game’s atmosphere, story, and style. Having a keen eye for detail and the ability to work independently, you will take the initiative to create a visually appealing world. Your creative input and artistic expertise will contribute to the overall visual excellence of the games. Responsibilities: Compose and dress environments to support gameplay readability, player navigation, and visual storytelling Maintain visual quality and consistency of levels according to the project's quality bar and art direction Gather and organize reference materials for environment assets Follow studio pipelines, naming conventions, and asset management guidelines Assemble and modify modular environment assets to build architectural and environmental spaces Prepare visual breakdowns, reference boards, and asset lists when required Act as production and artistic support for the Lead Level Artist Integrate environment assets and textures into the level Optimize levels for performance in collaboration with Tech Art and Design (draw calls, LODs, streaming) Set up asset properties related to visuals and performance (LODs, collisions, materials) Support bug fixing and visual polish throughout production and testing Verify level quality in engine and make necessary improvements [PL] Opis stanowiska Poszukujemy doświadczonego Artysty Lokacji, który dołączy do naszego zespołu. Na tym stanowisku będziesz mieć okazję współtworzyć immersyjne i urzekające wizualnie środowiska gry. Twoja rola będzie polegać na ścisłej pracy z materiałami referencyjnymi oraz kierownictwem artystycznym, aby tworzyć poziomy spójne z atmosferą, fabułą i stylem gry. Szukamy osoby z dużym zmysłem estetycznym i umiejętnością samodzielnej pracy, która wykaże się inicjatywą w kreowaniu atrakcyjnego wizualnie świata. Twój wkład kreatywny i doświadczenie artystyczne wpłyną na najwyższą jakość wizualną naszych produkcji. Obowiązki: Komponowanie i aranżowanie przestrzeni w celu zapewnienia czytelności rozgrywki, intuicyjnej nawigacji gracza oraz opowiadania historii poprzez otoczenie Utrzymywanie jakości wizualnej i spójności poziomów zgodnie z założeniami projektu i kierunkiem artystycznym Zbieranie i organizowanie materiałów referencyjnych dla elementów otoczenia Przestrzeganie wewnętrznych procesów produkcyjnych, zasad nazewnictwa plików oraz wytycznych dotyczących zarządzania zasobami Składanie i modyfikowanie modułowych elementów otoczenia w celu budowania przestrzeni architektonicznych i krajobrazowych Przygotowywanie zestawień wizualnych, tablic referencyjnych oraz list potrzebnych obiektów w razie potrzeby Implementacja elementów środowiskowych i tekstur bezpośrednio na poziomach gry Optymalizacja poziomów pod kątem wydajności we współpracy z działem grafiki technicznej i projektowej (wywołania rysowania, poziomy szczegółowości, strumieniowanie danych) Konfiguracja właściwości obiektów związanych z wyglądem i wydajnością (poziomy szczegółowości, kolizje, materiały) Pomoc w usuwaniu błędów i dopracowywaniu warstwy wizualnej na etapie produkcji i testów Weryfikacja jakości poziomów bezpośrednio w silniku i wprowadzanie niezbędnych poprawek Requirements Understanding of architectural and natural environment composition, scale, and structure Knowledge of gameplay readability, player navigation, and visual guidance principles Experience optimizing levels for real-time engines (LOD, draw calls, streaming,etc.) Strong modeling skills for modular environment assets Experience with Maya and/or Blender Experience with material blending and vertex painting systems Proficiency in Unreal Engine or similar real-time engines Experience with Substance Painter/Designer Understanding of physically based rendering (PBR) workflows and material standards Strong eye for detail and consistency with the project’s art style Ability to collaborate effectively in a multidisciplinary team Nice to have: Knowledge of material optimization techniques for real-time engines Basic understanding of lighting principles and experience adjusting lighting in real-time engines Experience with procedural tools such as Houdini is a plus Experience working on shipped titles [PL] Wymagania minimalne: Rozumienie zasad kompozycji, skali i struktury w architekturze oraz środowisku naturalnym Rozumienie jak zapewnić czytelność rozgrywki, nawigacji gracza oraz prowadzenia go za pomocą wzroku Doświadczenie w optymalizacji poziomów pod kątem silników czasu rzeczywistego (poziomy szczegółowości, wywołania rysowania, strumieniowanie danych itp.) Wysokie umiejętności modelowania modułowych elementów otoczenia Doświadczenie w pracy z programami Maya lub Blender Doświadczenie w pracy z systemami mieszania materiałów oraz malowania wierzchołków Biegłość w obsłudze Unreal Engine lub pokrewnych silników czasu rzeczywistego Doświadczenie w pracy z programami Substance Painter i Designer Rozumienie etapów pracy z fizycznym renderowaniem materiałów oraz standardów ich tworzenia Duże wyczucie estetyczne oraz umiejętność zachowania spójności ze stylem artystycznym projektu Umiejętność efektywnej współpracy w interdyscyplinarnym zespole Mile widziane: Znajomość technik optymalizacji materiałów w silnikach czasu rzeczywistego Podstawowe zrozumienie zasad oświetlenia oraz doświadczenie w jego regulacji w silnikach czasu rzeczywistego Doświadczenie w pracy z narzędziami proceduralnymi, takimi jak Houdini, będzie dodatkowym atutem Doświadczenie przy pracy nad wydanymi tytułami Benefits [EN] Medical Care package MyCafeteria system - including Multisport card and more Employee Assistance Program (EAP), offering confidential legal, financial, and personal counseling English or Polish language classes Sensibly flexible working hours Additional benefits: Care Bonus to cover health, educational and safety needs, corporate parties and team buildings [PL] Pakiet opieki medycznej System MyCafeteria – w tym karta MultiSport i wiele więcej Program Wsparcia Pracowników (EAP) – oferujący poufne porady prawne, finansowe oraz psychologiczne/osobiste Lekcje języka angielskiego lub polskiego Elastyczne godziny pracy (w ramach potrzeb projektu) Benefity dodatkowe: Care Bonus (pokrywający wydatki związane ze zdrowiem, edukacją i bezpieczeństwem), imprezy firmowe oraz wyjazdy integracyjne

Location: Los Angeles, CA Workplace: onsite About Revyz and Spin AI Revyz helps organizations protect and manage the Jira and Confluence Cloud environments their teams rely on every day. Its Atlassian Marketplace apps provide automated backup, granular recovery, and configuration management, helping administrators recover lost data and manage changes with confidence. Revyz is part of Spin.AI, a SaaS security and data protection company serving organizations that use Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian Cloud. Together, we help customers protect business-critical cloud data and reduce operational risk. Learn more at revyz.io and spin.ai. Why join Revyz now An employer with momentum. Spin.AI ranked No. 97 on Forbes’ America’s Best Startup Employers 2026 list, its third consecutive year of recognition, and was named to the 2026 Inc. 5000 list of America’s fastest-growing private companies. Recognized security and recovery technology. Spin.AI won five 2026 Global InfoSec Awards from Cyber Defense Magazine, including Market Innovator for Data Recovery and Visionary for Secure SaaS Backups. Bring your expertise to a team whose work is recognized across security and resilience. An established relationship with Google. Spin.AI’s extension risk scores are integrated into Chrome Enterprise, helping administrators assess browser extensions. Join an organization with technology embedded in enterprise security workflows, while building your own expertise and relationships in the Atlassian ecosystem. A broader security opportunity. Spin.AI acquired DoControl in September 2026, adding expertise in SaaS data access governance, data loss prevention, and insider risk. Alongside Revyz, this expands the opportunity to connect Atlassian data protection with wider enterprise security needs and deepen your experience across both.   About the role We are looking for a Senior Solutions Engineer who knows the Atlassian ecosystem and wants to help shape how enterprises protect and manage it. In this senior individual-contributor role, you will own Revyz technical engagements from discovery through the buying decision, working directly with customers, Atlassian Solution Partners, and our product and engineering teams. You will have room to design the approach, build reusable tools for the team, and turn customer insight into product improvements. This is an opportunity to combine hands-on Atlassian expertise with commercial impact and a visible role in the partner community. What You'll Do: Own enterprise customer outcomes Partner with sales and channel teams to understand how customers use Jira, Jira Service Management, and Confluence, who administers them, and what is at stake when data is lost or configurations change. Define decision criteria and qualify technical fit early. Lead tailored demonstrations, architecture discussions, and executive presentations around real Atlassian use cases: recovering a deleted work item or page, managing configuration changes, and protecting business-critical workflows. Help customers see how your recommendations improve their day-to-day operations. Own proofs of value with agreed scope, success criteria, timelines, and decision owners. Guide customers and partners through Marketplace app evaluations, resolve technical objections, and lead technical proposals and security questionnaires with the appropriate internal experts. Put your Atlassian expertise to work Develop deep expertise in Revyz and the relevant Spin.AI products while expanding your knowledge of enterprise SaaS security. Explain product capabilities, limitations, and competitive tradeoffs accurately, and distinguish supported functionality from roadmap items. Design and validate solutions around Atlassian backup and recovery, configuration management, permissions, retention, and data residency. Help administrators understand dependencies and recovery needs across Jira projects, Jira Service Management workflows, and Confluence spaces. Work hands-on in Jira and Confluence Cloud customer and demo environments to configure evaluations, investigate permissions and configuration issues, and validate recovery scenarios. Partner with engineering when deeper integration or technical investigation is needed. Build your profile in the Atlassian ecosystem Become a trusted advisor to Atlassian administrators, platform owners, enterprise architects, and security leaders. Build relationships with the people responsible for business-critical environments and help them make decisions they can defend to senior leadership. Work alongside Atlassian Solution Partners and consultants on joint customer engagements. Lead technical workshops and demonstrations, create reusable enablement materials, and help partners bring Revyz into their consulting and managed services offerings. Your expertise will help a wider network of teams succeed. Provide a clear handoff to customer success and support, documenting requirements, success criteria, and open issues. Stay close to strategic customers and partners as their Atlassian environments evolve, identifying opportunities to solve their next challenge. Shape the product and the practice Follow Atlassian Cloud developments, Marketplace apps, and partner and community feedback. Use that ecosystem perspective to inform customer conversations and competitive positioning, recommend product enhancements and new features, and improve our technical sales approach. Work directly with product and engineering to turn customer feedback into prioritized use cases. Help shape how we demonstrate, evaluate, and explain Revyz, with the opportunity to see your ideas become product improvements and resources used across the partner network. What you bring: 7+ years in solutions engineering, sales engineering, solution architecture, Atlassian consulting, or comparable customer-facing technical roles, including substantial experience leading complex enterprise evaluations or solution engagements through a buying decision. Hands-on experience administering or designing solutions for Jira and Confluence Cloud, including Jira workflows, schemes, permissions, configuration dependencies, and Confluence spaces and access controls. Familiarity with Jira Service Management and Assets is a plus. Strong knowledge of SaaS data protection and cloud security, including backup and recovery, identity and access management, encryption, retention, and data residency. Ability to discuss recovery point and recovery time objectives with technical and business stakeholders. Experience selling, implementing, or supporting cybersecurity, data protection, or backup and recovery solutions is strongly preferred. Relevant experience includes SaaS backup, ransomware resilience, recovery testing, security evaluations, or helping customers translate risk and compliance needs into practical protection plans. Excellent presentation, communication, and interpersonal skills, with the ability to engage both technical and non-technical audiences, including senior executives. Demonstrated ability to translate complex customer requirements into practical solution designs and measurable evaluation plans, explain tradeoffs clearly, and guide administrators and business stakeholders to a decision. Sound commercial judgment and the ability to manage multiple complex opportunities independently, prioritize effectively, and coordinate sales, product, engineering, and partner stakeholders. Significant experience in the Atlassian ecosystem, whether at a Solution Partner, Marketplace app vendor, or an enterprise Atlassian team. Understand how customers select and evaluate Marketplace apps and how partners support implementation, adoption, and ongoing services. Partner enablement experience and Atlassian certifications are strong pluses. A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Benefits: Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program A visible role with ownership of customer engagements, direct influence on product priorities, and opportunities to build your reputation and relationships across the Atlassian ecosystem What success looks like: Customers complete evaluations with clear evidence against agreed technical and business success criteria. Atlassian Solution Partners can confidently demonstrate, evaluate, and recommend Revyz using the technical resources you help build. Technical risks are surfaced early, and customer commitments reflect validated product capabilities. Your customer and partner insights inform product priorities, and delivery teams receive clear, actionable handoffs. Technical wins contribute to new business and expansion, with evaluation progress and outcomes documented in the CRM. Why Spin.AI? Spin.AI is a SaaS security company protecting enterprises against SaaS ransomware, shadow IT, non-compliance, and data loss in the cloud. SpinOne unifies backup and recovery, ransomware detection, SSPM, DLP, and enterprise browser security in a single console — protecting more than 2,000 organizations worldwide. Backed by K1 Investment Management, a leading investor in high-growth enterprise software Named to the Inc. 5000 list of America's fastest-growing private companies (2026) Forbes Best Startup Employer, three years running (2024–2026) Named a Representative Vendor in Gartner's Market Guide for Backup as a Service and Forrester's SSPM Landscape report

Location: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? And are you excited to build the systems and tools to help others create a rich, innovative game? As a Staff Gameplay Engineer – Systems & Performance on teamLFG, you will be a hands on technical expert in foundational gameplay systems and game performance. You will help define and evolve the architecture, frameworks, and shared systems that gameplay engineers and content creators build upon, while driving the technical direction for performance and optimization across the game. Most importantly, you will work with a fun, dedicated, and cross-discipline team devoted to turning a creative dream into a new franchise at PlayStation. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Design, build and maintain production-quality foundational gameplay systems, frameworks, workflows, and tools in C++ on Unreal Engine 5 Provide technical direction for shared gameplay systems, working closely with engineers and content creators to evolve their architecture, identify risks early, and ensure they scale with our simulation and networking model Own game performance and optimization: proactively profile the game, identify systemic bottlenecks and performance risks, establish priorities, and implement optimizations directly in the codebase Establish performance practices, metrics, budgets, profiling workflows, and tools that enable engineers and content creators to understand the runtime cost of their work and optimize their own systems REQUIRED SKILLS Strong C++ skills and the ability to design, implement, debug, profile, and maintain production quality systems in a large codebase Demonstrated experience architecting and evolving large-scale gameplay systems, frameworks, or shared gameplay infrastructure, beyond the implementation of individual gameplay features Deep experience profiling and optimizing real-time games, including identifying, investigating, and resolving CPU, memory, networking, and other systemic performance bottlenecks Experience developing with Unreal Engine Strong communication and collaboration skills, with the ability to explain complex technical topics and influence technical decisions across disciplines NICE-TO-HAVE SKILLS Experience developing and shipping multiplayer games, particularly games with complex gameplay simulation and networking requirements Experience developing and optimizing games across PC and console platforms At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $172,000 — $259,000 USD 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.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ The Senior Principal Software Engineer is responsible for shaping and evolving the company’s technical landscape. In addition to designing, developing, and maintaining core systems, the Senior Principal Software Engineer provides strategic guidance to align technology initiatives with business goals. This role is vital in ensuring that the platform is secure, scalable, and performant—capable of supporting rapid growth and driving innovation. RESPONSIBILITIES Technical Strategy & Architecture ● Define and drive the overarching technical vision, ensuring the platform meets current and future scalability, performance, and security needs ● Evaluate and select tools, frameworks, and architectures to maintain a state-of-the-art technology stack Leadership & Mentorship ● Provide technical leadership and guidance to the engineering organization, setting best practices and standards. ● Coach and mentor engineers, fostering a culture of continuous learning and collaboration Innovation & Research ● Investigate emerging technologies, frameworks, and best practices ● Lead prototyping initiatives and proof-of-concepts that can transform the platform’s capabilities Scalability & Performance ● Ensure the platform is designed for high performance and can seamlessly handle increasing user loads ● Oversee performance optimization, load balancing, and capacity planning strategies Reliability & Availability ● Design fault-tolerant, highly available systems that minimize downtime and deliver a seamless user experience Infrastructure Automation ● Advocate for and implement Infrastructure as Code (IaC) principles, CI/CD pipelines, and automation best practices ● Continuously refine deployment, testing, and operations processes to improve efficiency Security & Compliance ● Collaborate with security experts to ensure platform integrity, compliance with industry standards, and protection of sensitive data ● Proactively address security vulnerabilities and champion secure coding practices Cross-Functional Collaboration ● Work closely with product managers, designers, and other stakeholders to ensure technical initiatives support business objectives ● Drive alignment between engineering roadmaps and product strategies Technical Problem-Solving ● Tackle complex architectural and technical issues, providing clear direction and innovative solutions ● Serve as an escalation point for critical system challenges Code Quality & Reviews ● Uphold coding standards through thorough code reviews, ensuring high-quality, maintainable codebases ● Establish and enforce best practices around testing, documentation, and version control Documentation & Knowledge Sharing ● Produce comprehensive technical documentation, including architectural diagrams, design guidelines, and operational runbooks ● Promote a transparent engineering culture by sharing insights and successes across the organization QUALIFICATIONS ● 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc) ● Extensive software engineering experience, with a track record in designing and implementing large-scale, distributed systems ● Deep technical expertise: Proficiency in multiple programming languages, cloud platforms (e.g., AWS, Azure, GCP), and modern development frameworks ● Leadership acumen: Demonstrated ability to lead diverse engineering teams, inspire innovation, and drive successful outcomes ● Architectural vision: Proven skill in defining and driving architectural roadmaps that align with evolving business needs. ● Problem-solving ability: Expertise in diagnosing complex system issues and designing robust, scalable solutions ● Communication skills: Excellent written and verbal communication skills, capable of influencing both technical and non-technical stakeholders. ● Security conscious: Solid understanding of security best practices, compliance standards, and data protection ● Continuous improvement mindset: Passion for optimizing processes, toolchains, and workflows ● Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience As a Senior Principal Software Engineer, you will not only architect innovative solutions but also shape the technical culture. Your leadership and expertise will be pivotal in building a resilient, cutting-edge platform that supports rapid growth and drives long-term success. Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $219K – $352K + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: New York, United States Who We Are At OKX, we believe the future will be reshaped by crypto and blockchain technology. We operate a leading global crypto platform and build products and services designed to expand access to the digital-asset ecosystem. Across our global organization, we value ownership, sound judgment, collaboration, innovation, and the ability to operate effectively in a fast-moving and continuously evolving environment. Recruiting should insert the current approved OKX corporate “Who We Are” language when the position is posted. About the Team The Fraud Investigations Team (FIT) is a First Line of Defense function within OKX’s Risk organization responsible for identifying, assessing, investigating, and helping manage significant internal and external fraud risks affecting the company, its customers, personnel, and operations. FIT conducts and supports complex investigations involving digital assets, internal and external fraud, employee misconduct, insider threats, unauthorized access or misuse of information, vendor and third-party misconduct, account compromise, social engineering, collusion, conflicts of interest, and other significant fraud-related matters. The team works closely with Legal, HR, Information Security,Engineering, Physical Security, Compliance, Finance, Operations, and other functions across OKX. About the Opportunity We are looking for an experienced Senior Analyst, Blockchain Investigations & Fraud Intelligence to join FIT. This is first and foremost a blockchain investigations role requiring significant hands-on expertise tracing digital assets across complex blockchain ecosystems. The successful candidate must be capable of independently conducting sophisticated on-chain investigations, developing and testing attribution hypotheses, identifying relationships among wallets and entities, following assets through multiple chains and protocols, and translating highly technical blockchain activity into clear investigative findings. Blockchain analysis is a specialized investigative discipline. Accordingly, we are seeking someone who understands not only how to operate commercial tracing platforms, but also the underlying blockchain architecture, transactional mechanics, attribution methodologies, clustering techniques, tracing limitations, and evidentiary considerations necessary to reach reliable conclusions. The role extends beyond on-chain analysis. The Senior Analyst will combine blockchain intelligence with enterprise data, system logs, transactional records, open-source information, and other evidence to support complex fraud and insider-risk investigations. The position will also provide analytical support to the Global Physical Security Team (PST) on selected protective-intelligence and threat-assessment matters. The Senior Analyst will directly manage one Analyst and will be expected to serve as a subject-matter resource for blockchain investigations and analytical methodology across FIT. What You’ll Be Doing Blockchain Investigations & Digital-Asset Intelligence Lead and conduct complex blockchain investigations and transaction tracing across multiple wallets, counterparties, entities, blockchains, tokens, protocols, and digital-asset ecosystems. Trace the origin, movement, conversion, layering, consolidation, and ultimate disposition of digital assets , including activity spanning multiple intermediaries and blockchain environments. Conduct investigations using tools such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable blockchain intelligence platforms , while understanding the methodologies and limitations underlying platform-generated attribution. Analyze activity involving centralized exchanges, self-hosted wallets, decentralized exchanges, cross-chain bridges, mixers, privacy-enhancing technologies, DeFi protocols, smart contracts, stablecoins, NFTs, OTC activity, gambling platforms, and other relevant ecosystems . Trace assets across multiple chains and cross-chain transactions , identifying continuity of funds where technically supportable and clearly documenting assumptions or limitations where definitive attribution is not possible. Analyze transaction graphs, address relationships, behavioral patterns, clusters, counterparties, timing, amounts, transaction sequencing, and other relevant blockchain indicators. Understand and appropriately apply wallet-clustering and attribution methodologies , including the limitations and potential for false attribution associated with particular heuristics. Independently evaluate blockchain intelligence rather than relying solely on automated labels, risk scores, or vendor-generated attribution. Corroborate on-chain findings, where appropriate, with internal account records, KYC / KYB information, transaction data, access information, open-source intelligence, legal-process returns, or other available evidence . Identify relationships among blockchain addresses, OKX accounts, external counterparties, individuals, organizations, vendors, affiliates, and other relevant entities. Reconstruct complex transaction flows and create clear fund-flow diagrams, transaction maps, timelines, and visualizations that allow investigators and nontechnical stakeholders to understand the movement of assets. Analyze blockchain activity associated with suspected fraud , theft, account takeover, social engineering, insider activity, collusion, payment diversion, asset misappropriation, or other misconduct . Identify new wallets, counterparties, entities, or transactional patterns that may generate additional investigative leads. Clearly document the methodology, assumptions, confidence level, and limitations associated with blockchain findings. Distinguish between confirmed attribution , vendor attribution, analytical inference, behavioral similarity, and an unverified investigative hypothesis . Avoid presenting blockchain proximity, exposure, clustering, or a commercial risk score alone as proof of ownership, control, intent, or misconduct. Maintain current knowledge of emerging blockchain technologies, protocols, tracing methodologies, obfuscation techniques, fraud typologies, and developments affecting blockchain attribution or investigations . Fraud Investigations & Investigative Intelligence Conduct and support investigations involving internal and external fraud , employee misconduct, insider threats, vendor and third-party misconduct, collusion, conflicts of interest, asset misappropriation, unauthorized access, credential misuse, and other significant fraud risks . Combine blockchain findings with off-chain evidence to develop a comprehensive investigative picture rather than treating blockchain activity in isolation . Develop investigative hypotheses and objectively test those hypotheses against available evidence, including information that supports, contradicts, or fails to establish the hypothesis. Conduct timeline reconstruction, link analysis, relationship mapping, pattern analysis, clustering, and comparative analysis across individuals, accounts, wallets, devices, systems, transactions, and entities. Support investigations involving account takeover, impersonation, social engineering, business-email compromise, payment diversion, affiliate misconduct, and trusted-party abuse , particularly where a digital-asset, employee, vendor, or enterprise nexus exists. Analyze vendor, affiliate, partner, and other third-party activity for indicators of billing irregularities, undisclosed relationships, conflicts of interest, unusual payments, control circumvention, or other potential misconduct. Support investigative interviews by developing transaction timelines, identifying inconsistencies or information gaps, organizing evidence, and identifying appropriate areas for follow-up. Enterprise Data & Insider-Risk Analytics Analyze appropriately authorized information including system and access logs, authentication records, audit trails, customer-account activity, KYC / KYB information, transaction records, payment information, case-management records, vendor information, and relevant security telemetry . Correlate blockchain activity with enterprise data to identify possible connections among wallets, accounts, employees, customers, vendors, devices, transactions, and other relevant entities . Support investigations involving suspected unauthorized access, information misuse or exfiltration, credential compromise, control circumvention, unauthorized disclosure, or abuse of privileged access. Identify anomalous behavior or access patterns that may warrant additional investigation. Develop repeatable analytical methodologies capable of processing and correlating information from disparate systems. Use appropriate scripting, database querying, data visualization, and analytical technologies to efficiently analyze large or complex datasets. Investigative Reporting & Evidence Prepare clear, concise, and well-supported blockchain investigation reports, investigative memoranda, executive summaries, transaction-flow diagrams, link charts, timelines, and other analytical products . Explain complex blockchain concepts and transaction activity in plain language suitable for investigators, senior management, Legal, regulators, or law enforcement , as appropriate. Clearly distinguish among allegations, investigative leads, known facts, third-party attribution , analytical judgments, assumptions, information gaps, and substantiated conclusions . Ensure analytical conclusions are proportionate to the evidence and do not imply greater certainty than the underlying blockchain or other data supports. Maintain sufficient documentation to allow significant blockchain findings to be reviewed, reproduced, and understood by another qualified analyst . Preserve and handle investigative records in accordance with applicable evidence-preservation, chain-of-custody, confidentiality, privacy, access-control, and need-to-know requirements . Support appropriately authorized law-enforcement, regulatory, litigation, or legal matters in coordination with the appropriate company functions. Protective Intelligence & Physical Security Support Provide analytical support to PST on selected matters involving threats or concerning activity directed toward employees, executives, offices, events, or other company interests. Conduct authorized open-source, link, timeline, blockchain, financial, or other analytical research where relevant to understanding the identity, relationships, capabilities, or activity associated with a potential threat. Assist in evaluating available information relating to credibility, corroboration, intent, capability, access or opportunity, targeting, escalation, timing, and other relevant indicators . Prepare objective analytical products identifying known facts, analytical judgments, material information gaps, uncertainties, and appropriate confidence levels. Support PST’s assessment while preserving PST’s responsibility for protective-security decisions and operational response . Leadership & Development Directly manage and develop one Junior Analyst, including work allocation, coaching, technical development, quality assurance, and review of analytical work product . Serve as a FIT subject-matter resource for blockchain investigations and on-chain analytical methodology . Review blockchain analysis for technical accuracy, appropriate methodology, corroboration, reasonable attribution, and evidentiary support. Train and mentor junior personnel in transaction tracing, blockchain intelligence platforms, analytical reasoning, documentation, and investigative methodology. Help establish consistent standards for blockchain investigations, attribution , documentation, quality assurance, and reporting . Participate in time-sensitive investigations affecting a global organization, including occasional work outside normal business hours when required. What We Look For In You 7+ years of relevant investigative or analytical experience , with meaningful professional experience specifically conducting cryptocurrency or blockchain investigations . Demonstrated hands-on expertise independently conducting complex blockchain tracing investigations , rather than solely reviewing blockchain alerts or commercial risk scores. Advanced proficiency with one or more blockchain intelligence platforms such as Chainalysis Reactor , TRM Labs, Elliptic, or comparable technology . Strong understanding of how blockchain intelligence platforms derive attribution, clustering, exposure, and risk information—and the limitations associated with those methodologies . Demonstrated understanding of blockchain fundamentals, including wallets and addresses, transactions, UTXO and account-based models, tokens, smart contracts, block explorers, transaction fees, confirmations, and blockchain-specific transactional structures . Strong understanding of digital-asset ecosystems including centralized exchanges, self-hosted wallets, DeFi , DEXs, stablecoins, cross-chain bridges, mixers, privacy-enhancing mechanisms, and other relevant technologies . Demonstrated ability to trace assets across multiple chains, protocols, and intermediaries and recognize when technical limitations prevent definitive continuity or attribution. Experience conducting transaction-graph analysis, wallet attribution , clustering, counterparty analysis, transaction-flow reconstruction, and investigative link analysis . Ability to critically assess blockchain attribution and distinguish among technical facts, commercial vendor intelligence, analytical inference, and unsupported assumptions . Experience integrating blockchain intelligence with off-chain evidence and enterprise information to develop investigative conclusions. Strong knowledge of fraud-investigation principles including corroboration, source evaluation, evidence preservation, timeline development, hypothesis testing, and documentation. Experience analyzing large or complex datasets and familiarity with tools such as SQL , advanced Excel, Python, Splunk, or comparable data-analysis technologies . Ability to clearly explain technically complex blockchain findings to audiences that may have little or no blockchain expertise. Strong investigative writing skills and demonstrated ability to produce accurate, concise, and defensible analytical products. Sound judgment and ability to work effectively where evidence is incomplete, conflicting, or evolving. Demonstrated discretion when handling sensitive employee, customer, investigative, security, or company information. Demonstrated experience mentoring, supervising, or reviewing the work of junior analysts or investigators. Nice to Haves Experience conducting blockchain investigations within a cryptocurrency exchange, blockchain analytics company, law-enforcement agency, regulatory organization, financial institution, intelligence function, or investigative consulting environment . Experience investigating digital-asset matters involving fraud proceeds, theft, account compromise, insider activity, social engineering, asset tracing, or complex cross-chain movement . Experience supporting asset recovery, law-enforcement referrals, subpoenas/legal process, civil litigation, regulatory inquiries, or other matters requiring defensible blockchain analysis . Experience investigating insider threats, employee misconduct, unauthorized access, data exfiltration, credential compromise, vendor fraud, conflicts of interest, or trusted-party abuse. Experience with OSINT, digital forensics, enterprise logs, security telemetry, or identity and access-management information . Experience creating custom blockchain analytics through APIs, SQL , Python, blockchain explorers, node data, or other raw-data sources , rather than relying exclusively on commercial graphical interfaces. Relevant blockchain-specific training or certifications, including certifications associated with Chainalysis , TRM Labs, or comparable blockchain-analysis platforms . Professional certifications such as CFE, CFCS, CAMS, GIAC, or comparable investigative, fraud , financial-crime, cybersecurity, or intelligence credentials . What Success Looks Like Success in this role requires significantly more than knowing how to enter an address into a blockchain analytics platform. The successful candidate should be able to receive a complex transaction, wallet, allegation, or investigative question and independently determine how to trace the activity, which chains and protocols are involved, what the available data establishes, what additional information is needed, what attribution can reasonably be made, and where the technical or evidentiary limitations prevent a definitive conclusion . The individual should be able to move seamlessly between on-chain and off-chain evidence , recognizing that a blockchain transaction may establish movement of assets without necessarily establishing the identity, knowledge, intent, or conduct of the person behind a wallet. They should also be capable of converting a highly technical blockchain investigation into a concise and defensible explanation that an investigator, attorney, executive, regulator, or law-enforcement partner can understand and act upon. At the same time, this person must be sufficiently versatile to apply the same investigative discipline to internal fraud , insider risk, enterprise data, third-party misconduct, and protective-intelligence matters when required. The hierarchy is much clearer this way: blockchain investigations are the specialized core competency; fraud /investigative intelligence is the broader mission; enterprise analytics and PST support are complementary capabilities. That should materially improve the candidate pool versus a title that makes blockchain expertise appear interchangeable with general data analytics. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $143,000 - $214,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York City Office Workplace: OnSite COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION We’re looking for a high-agency Senior Backend Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You’ll design and build agentic workflows that power complex healthcare processes to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. This role involves creating data pipelines, evaluation harnesses, and scalable production-grade agentic systems. You’ll be responsible for researching the right tools and models, ensuring we always use the best-fit technology for each workflow.. As part of our ML team, you’ll work hand-in-hand with researchers to translate new techniques and insights into production-ready systems. The ideal candidate has full-stack engineering experience, hands-on expertise with LLM APIs, and a proven track record of deploying AI systems into production. You’ll work across the stack - from data collection to training pipelines to AI agent orchestration to frontend integration - bringing cutting-edge AI solutions to life in real-world healthcare environments. RESPONSIBILITIES As a Senior Backend Engineer on the ML team at Tennr, you’ll bridge the gap between cutting-edge ML research and real-world product delivery. You’ll help build agentic systems that use LLMs, and vision models, and structured automation to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. - Ship full-stack AI systems end-to-end - Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows. - Go from ideation to code within hours; iterate quickly on experiments and data. - Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and product QUALIFICATIONS - Proficiency in full-stack development, with a strong understanding of system design, backend engineering, and observability infrastructure. - A track record of working through the full lifecycle of building, testing, deploying, scaling, and monitoring LLM-centered software architectures. - Excellent communication and collaboration skills: aligning on interfaces, navigating tradeoffs, and driving cross-team execution. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Chelsea office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff SRE, Platform Engineering About the job Twilio is looking for a Staff Site Reliability Engineer to join our Platform Engineering organization. SRE owns production health and resiliency at Twilio — we are accountable for whether our services stay available, performant, and recoverable for the customers who build their businesses on us. SREs here are software engineers who focus on reliability: you will architect systems with reliability designed in from the outset, define the SLIs and SLOs that determine whether we are meeting customer expectations, and build the automation that keeps our infrastructure efficiently ahead of capacity and performance demand. At the Staff SRE you work without day-to-day guidance, applying deep subject-matter knowledge and industry-leading practice to improve the products, processes, and services that Twilio runs on. You will own the reliability posture of significant parts of our production estate. Your impact will be felt across multiple teams rather than within one. This is a hands-on engineering role. You will write and deploy code that improves service reliability, orchestrate complex changes across systems, lead the response when production is degraded, and raise the quality bar for the engineers around you. Responsibilities In this role, you’ll: Own the reliability posture of production services in your area — availability, latency, capacity, efficiency, performance, and the monitoring and alerting that makes them visible Define, instrument, and operate against SLIs and SLOs, and use error budgets to drive engineering priorities Identify trends and problem areas that threaten stability, and provide a path forward to mitigate risk before it reaches customers Drive down repair items and prevent classes of incidents rather than resolving them one at a time Improve detection, response, and recovery — reducing time to acknowledge, engage, mitigate, and restore, with fewer people pulled in Design for failure: strengthen failure domains, validate recovery paths, and make production changes safer to ship and safer to roll back Participate in on-call for the services you support, and lead the response when production is degraded Write post-mortems that identify true root causes, and drive the follow-up work to completion Oversee efforts to identify, diagnose, report, and document production problems across all reliability dimensions Write, configure, and deploy code that measurably improves service reliability — maintainable, reviewed, documented, and well tested Orchestrate complex changes across systems and services, documenting design changes, technical decisions, migration plans, and upgrades Lead debugging, troubleshooting, and analysis of service architecture and design Use code review to drive up the quality of your coworkers' code Reduce the operational overhead required to run infrastructure and services Drive projects from conception to completion for efforts spanning the concerns of your team Coordinate across programs, collaborating with others to estimate and communicate delivery timelines Break projects into milestones and tasks, track progress, and communicate updates to stakeholders Identify and communicate changes that may impact stability Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years of related engineering experience, with a substantial portion focused on reliability, infrastructure, or platform engineering Demonstrated accountability for production systems — you have carried a pager for services that mattered and owned the outcome when they failed Strong software engineering fundamentals: you build and ship production code, not only configure tooling Experience defining and operating against SLIs and SLOs, and using error budgets to inform engineering priorities Depth in production operations: incident command, post-mortem analysis, capacity planning, and observability A record of preventing recurrence — reducing incident classes and operational toil, not just closing tickets Experience driving changes that span multiple teams, and the communication skills to build alignment without formal authority A track record of improving the engineers around you through code review, design feedback, and mentorship Experience with large-scale distributed systems in a cloud environment Desired: Familiarity with infrastructure-as-code, container orchestration, and GitOps-style delivery Experience with multi-region architecture, failure-domain design, or regional expansion work Background in chaos engineering, game days, or other proactive resilience validation Location This role will be remote, and based in Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale Own end-to-end performance of our largest RL runs, from research code down to the hardware Build performance and cost models for proposed architecture and algorithm changes, and use them to decide which ideas get scaled Investigate training dynamics at scale, including instabilities, divergence, and throughput regressions, and trace them to root cause Minimum qualifications Deep familiarity with modern transformer language models, including their architecture, training dynamics, and the behavior of large-scale optimization Hands-on experience training large models in a distributed setting, including the tradeoffs between data, tensor, and pipeline parallelism A track record of original technical work in ML training or systems, such as new methods, architectures, or optimizations, demonstrated through research, open-source, or production impact Ability to design rigorous experiments at scale, including baselines, ablations, and enough statistical care to trust a result that costs real compute Ability to reason quantitatively about the compute, memory, and communication costs of a model or algorithm Strong programming skills in Python and JAX or PyTorch, and comfort reading and changing code at every layer of the stack Preferred qualifications Research experience in reinforcement learning, optimization, or large-scale training, published or otherwise Experience developing RL algorithms for language models Experience with scaling laws or other quantitative models of training efficiency Experience designing or modifying transformer architectures beyond standard configurations Experience scaling training to large fleets of accelerators and debugging the problems that only appear at scale Deep understanding of numerics in large-scale training, including low-precision formats and sources of instability Familiarity with how GPU or TPU performance characteristics shape architecture and algorithm choices Experience with C++ or Rust Representative projects Characterize how a new RL algorithm's throughput and learning efficiency change from small models to frontier scale, and fix what breaks Develop a new attention variant, get it working at full scale, and measure how its quality and throughput compare to the baseline Prepare our next largest-ever RL run: find what breaks when model size, context length, and compute all grow at once, and fix it before launch Trace a loss instability that only appears past a certain scale to its root cause, and work out whether the fix belongs in the algorithm, the numerics, or the system Build a model that predicts the throughput and cost of a proposed architecture change before anyone writes the kernel 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: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Battery Systems Engineer to lead the architecture, integration, and validation of battery systems for current and next-generation wearable products. You will work at the intersection of cell chemistry, battery pack architecture, electrical engineering, mechanical design, firmware, manufacturing, quality, and supply chain to deliver safe, reliable, and high-performing battery solutions. Through hands-on experimentation, rigorous data analysis, and cross-functional technical leadership, you will advance battery technology and strengthen engineering standards across the complete product development lifecycle. RESPONSIBILITIES: - Own battery subsystem architecture, requirements, integration, and validation from early concept development through new product introduction, mass production, and sustaining engineering. - Partner with Product, Battery Cell Engineering, Electrical Engineering, Mechanical Engineering, Firmware, and other cross-functional teams to translate product goals into battery requirements, energy and power budgets, consumption profiles, verification plans, and design documentation. - Lead the integration of charging systems, fuel gauging, protection circuitry, thermal sensing, firmware controls, telemetry, system power architecture, and mechanical battery design to optimize performance, safety, reliability, and member experience. - Develop and execute comprehensive design verification and qualification strategies, including design of experiments, accelerated life testing, reliability assessments, DFMEAs, design reviews, and pack- and system-level testing. - Lead structured root-cause investigations for development, manufacturing, and field issues, using test data, field telemetry, failure trends, and analytical tools to drive objective engineering decisions and continuous product improvement. - Partner with Quality, Manufacturing, Supply Chain, external suppliers, and third-party laboratories to evaluate specifications, qualify designs and processes, establish manufacturing controls, support regulatory compliance, and assess emerging battery technologies; travel up to 15% to engage with suppliers, manufacturing partners, and testing facilities. QUALIFICATIONS: - Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Electrochemistry, or a related technical field, with 4+ years of relevant experience; an advanced degree with 2+ years of relevant experience will also be considered. - Strong understanding of lithium-ion cell chemistry, electrochemistry, battery pack behavior, degradation mechanisms, and the relationships among electrical, mechanical, thermal, and firmware systems. - Hands-on experience developing and executing test protocols for battery packs, electrical systems, printed circuit boards, or integrated hardware products. - Working knowledge of charging circuits, battery protection, fuel gauging, thermal management, battery management systems, and embedded firmware controls. - Experience using design of experiments, statistical analysis, accelerated life testing, reliability engineering, and structured failure-analysis methods to solve complex technical problems. - Ability to interpret electrical schematics, mechanical CAD models, tolerance analyses, engineering drawings, and GD&T callouts. - Strong cross-functional leadership and technical communication skills, with the ability to navigate ambiguity, articulate engineering risks and trade-offs, and collaborate effectively with internal teams and external partners; experience with space-constrained consumer electronics or high-volume battery manufacturing is preferred. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

Location: San Francisco, CA Senior Software Design Lead, IDEO San Francisco In a nutshell: IDEO San Francisco is in search of a Senior Software Design Lead who will architect the human and technical systems behind the digital products and AI experiences we design, build prototypes that behave like real production software, and be the technical voice client CTOs trust. You'll pick up design at IDEO along the way. Why is this role important for IDEO’s work? Software design makes the biggest impact by turning a product vision into something a client can actually build, and by testing ideas in working code rather than static screens. Their skillset is critical to our business because the work has evolved from designing interfaces to designing systems: how people, software, and AI agents behave together. We count on them to understand data models, APIs and agentic infrastructure from first principles, and speak credibly on technical choices with executives and engineering leaders. Once here you will: Work with product designers, product strategists and design researchers on 8–12+ week digital product engagements that may span from product vision and strategy to full end-to-end build. You will play a key role in turning human insights into technical architecture: data, APIs, integrations and the agentic layer. Build early prototypes with real data, real models and real integrations, so we learn quickly and lower the risk of big bets. Advise client executives and engineering teams on tech stack choices, build-vs-buy, evaluating APIs and LLMs, and feasibility. Design how agents and systems behave on a human's behalf, including guardrails, failure states and how the system stays legible to both people and machines. Raise the craft bar inside IDEO. Create reusable starter kits and toolkits so teams stop building from scratch, and coach designers who prototype in code. Help shape proposals and scope technical work in business development. What does IDEO offer you? IDEO is a place where you can solve diverse, complex challenges for our clients and their organizations, alongside thoughtful, intelligent individuals who lead with curiosity, empathy, and humility. We intentionally craft moments that allow our community to pause, create, and connect. We encourage our community to bring their whole selves to work, respect the need for work-life balance, and allow for autonomy in the design process and your career. As a Software Designer in San Francisco, we provide the opportunity for you to: Learn design from a leading design and innovation firm . IDEO's founders designed Apple's first mouse and the first laptop. Since then, we've kept people at the center of design through every wave of technological change. You'd learn to do field research with real people, synthesize insights and tell compelling stories, and work alongside some of the best designers in the world. Work across many problem spaces . In one year you might redesign a retail or finance app, prototype new ideas in media and entertainment, and take on systemic challenges in health and education. Working across clients and industries stretches your thinking. A good solution isn't only technically sound: it has to fit real people, real businesses and the constraints they work within. Be in the room for the "why" before the "how." You'd shape the question from day one instead of receiving a spec after decisions have been made. And you’d help build this practice at IDEO to shape how next generation digital products are designed and built in the era of AI. Some previous projects to check out: Straight Arrow News : a redesigned news app and website with features like See All Sides, Sources and Media Landscape views. App page views grew 1,170% and active users 700%. This role would design the content and data model underneath and prototype with real feeds. Gates Foundation – Last Mile Money : human-centered design for 100+ digital financial products serving 34M underserved users. This role would work on architecture for low-connectivity settings and evaluate partner platforms and APIs. Jack Technology – Aitu : AI-enabled industrial sewing machines and a humanoid robot, designed around how they work with factory workers. This role would work on system behavior: how the AI signals what it's doing and how humans stay in control. Relevant experience and mindset: Must-haves: 6-8+ years as a software engineer shipping production software, ideally at growth-stage or established tech companies where speed and scale both mattered. You've taken products from concept to launch. 1-2+ years as an engineering lead or solutions architect: scoping, estimating and planning projects, and making architecture decisions others build on. You think at a systems level. Deep software fundamentals, including systems design, data modeling, APIs, and tradeoffs around performance, security and scale, plus fluency in a modern stack (e.g., TypeScript, React, Python, Node; AWS, GCP, Azure). Hands-on building with LLMs (tool use, agents, retrieval, evals) and advanced prototyping. You turn concepts into working software quickly, using real data and integrations, with quality that holds up beyond vibe coding. A track record of working closely with product, design and data, plus curiosity about people and a desire to learn how the craft of software intersects with product and design. You use prototypes as a way to think, not just to deliver. Strong communication and storytelling: architecture diagrams, system maps and presentations that make technical recommendations clear and persuasive to executives and engineering leaders. Nice-to-haves: Comfort with Figma, design systems and front-end craft Client-facing or consulting experience, or taking part in UX research Experience with hardware or connected devices (Arduino, IoT) Pop quiz, Hot Shot: A client's CEO wants "an AI agent in the app by Q2." What's your first question for the CEO? What's a piece of software that's beautifully built under the hood, not just on the surface? What makes it good? Application requirements and instructions: Résumé, LinkedIn + Cover Letter (Optional) GitHub or two to three work samples (code, architecture docs, side projects or technical writing) A short response of about 300 words: "Tell us about a technical decision you made that shaped how people experienced a product. What were the tradeoffs, and what would you do differently today?” Payscale & Benefits IDEO is committed to paying its employees, contractors & vendors equitably, regardless of gender identity or race/ethnicity/cultural identity. The salary range for this role is $130,000-150,000 USD. Final offers may vary based on candidate experience, location, and other factors. As a full-time position, this role is eligible for employee benefits. In addition to base compensation, IDEO offers a rich benefits package including the following: Hybrid Model: Team members based in the San Francisco Bay Area are expected to work in the studio on Tuesdays, Wednesdays, and Thursdays, with flexibility based on client travel, project needs, and deliverables. Candidates based outside the Bay Area are not expected to be in the studio regularly, but should be available to travel as needed for IDEO and client work. Health Benefits: Vision, Dental, Healthcare Financial Benefits: 401K with Employer Contribution Family & Caregiving: Parental Leave, Adoption Assistance, Fertility Assistance, Transgender Medical Assistance, Breastmilk shipment, Back-up/Dependent Care, Pet Insurance Other Benefits: Flexible Work, Flexible Time Off, Paid Holidays, Annual Education Stipend, Home Office Stipend, Commuter Reimbursement, and Phone & Internet Reimbursement Commitment to Diversity At IDEO, we are committed to the work of advancing diversity, equity and inclusion within our organization and in the world. Our purpose of having disproportionate, world-changing impact through design is directly connected to our ability to bring many different perspectives to the table. This applies to our candidates, the people we hire, the clients and customers we serve, and the communities we learn from in our research. Please note that the successful candidate must be based in the United States and have the unrestricted right to work in the US. Unfortunately, we are unable to offer sponsorship for this role. IDEO proudly supports flexible work.

Location: United States, San Mateo, CA 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. Are you passionate about Responsible AI and ensuring products are built and deployed ethically and safely? Sony Interactive Entertainment is seeking a highly motivated and experienced Senior Responsible AI & Governance Technical Specialist to help ensure our AI products and technologies are developed and deployed ethically, safely, and in alignment with our values. Demonstrable experience in Responsible AI and AI Governance is required. Technical skills are also a must. In this role, you will operate at the intersection of modern AI technology, policy, and ethics. You will design and implement technical governance frameworks, guidelines, and best practices that support responsible AI innovation across the organization. You will identify and assess potential risks, conduct technical and business evaluations, and partner closely with cross-functional stakeholders to embed responsible AI principles into product development lifecycles, adapting to AI-enabled and agentic systems in particular, and identifying where AI-specific guidance or risk mitigations are needed. This is a highly collaborative role working across engineering, product, information security, legal, and business teams to ensure AI initiatives align with regulatory requirements and SIE’s broader strategic goals. The ideal candidate brings a strong understanding of generative AI use cases, technical and sociotechnical risk, and product development, balancing responsible AI commitments with internal and external innovation. If you are passionate about AI Governance and Responsible AI, and have demonstrable experience and skills required for this position, we encourage you to apply. This is an opportunity to build and mature an AI governance program within a fast-evolving landscape. What You’ll Be Doing: Contribute to long-term strategies for building safe, ethical, and innovative AI products and tools Serve as a technical Responsible AI advisor for generative and agentic AI systems, helping teams assess architectures, tool integrations, MCP implementations, data flows, permissions, autonomy, and appropriate human oversight and guardrails Engage stakeholders across the organization to gather feedback and address AI Governance and Responsible AI technical considerations Use AI governance, risk tooling and discovery insights to identify emerging risks and support appropriate remediation and technical solutions Experiment hands-on with emerging AI capabilities, including agents, MCP servers, tool integrations, APIs, and evaluation frameworks, to understand their capabilities and risks and translate findings into practical governance guidance Sit on relevant domain boards as a technical specialist, partnering closely with Product and Engineering Conduct ethical and safety risk assessments, advising teams on mitigation strategies related to bias, fairness, robustness, transparency, and societal impact Partner with engineers, product managers, designers, online safety and more, to proactively identify unintended consequences and emerging risks of AI Coordinate with Information Security and relevant technical teams to align AI governance reviews and risk assessments with security requirements and technical controls Contribute to company-wide best practices for responsible AI development and deployment, including AI literacy materials and case studies What We’re Looking For: At least 3 years of experience in AI Governance, Responsible AI, Corporate Governance, AI safety, AI policy, or a related field, with meaningful experience evaluating AI technologies and systems At minimum, 5 years of experience contributing to or leading cross-functional programs from strategy through operational implementation, partnering with product, engineering, legal, security, and operations teams Strong technical fluency in modern AI systems, including LLMs, agentic architectures, tool use/function calling, APIs, cloud services, and automation Hands-on experience working with or evaluating agentic AI systems; familiarity with MCP or comparable protocols and agent/tool integration frameworks strongly preferred Experience with AI red teaming, adversarial testing, or other technical approaches to identifying risks in LLM and agentic systems Understanding of agentic and sociotechnical AI risks, including excessive agency, permissions and data access, unintended tool use, human oversight, systemic risk, and emergent behaviors Ability to translate technical findings and risks into practical controls, mitigations, and guidance for engineering, product, and business teams Ability to independently drive outcomes across cross-functional teams with minimal supervision Strong analytical and communication skills, sound judgment, and the ability to challenge assumptions and navigate ambiguity in a fast-moving environment Ability and curiosity to stay current with emerging AI capabilities, risks, frameworks, and industry developments, particularly within technology, entertainment, and gaming Preferred Qualifications: Familiarity with relevant regulations, standards and ethical guidelines (e.g., EU AI Act, OECD Principles, NIST AI RMF, ISO/IEC 42001) Proficiency in producing meaningful visualizations and reports, and effectively presenting technical results to diverse audiences Industry experience in tech, gaming or (interactive) entertainment At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $132,800 — $199,200 USD 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Hardware Test Engineer (Manufacturing) to lead manufacturing test strategy and deliver scalable test solutions that ensure every WHOOP device meets the highest standards of quality and reliability. You will take ownership of complex manufacturing test challenges from high-level objectives through strategy, execution, and production outcomes. Working across Manufacturing Engineering, Electrical Engineering, Firmware, Mechanical Engineering, Quality, and Reliability, you will drive alignment on test strategy, influence product and manufacturing decisions, and deliver measurable improvements in test coverage, quality, yield, cycle time, and cost. You will also establish best practices, raise engineering standards, and mentor engineers across the team.   RESPONSIBILITIES: - Lead the architecture, development, validation, and deployment of automated test equipment (ATE), electrical test fixtures, and control systems for engineering validation, NPI, and mass production. - Develop and establish scalable automated test methodologies and applications using Python to validate electrical, functional, RF, and sensor performance on manufacturing lines. - Drive cross-functional alignment across Hardware, Firmware, Manufacturing, and Quality engineering teams to make tradeoffs around test coverage, product quality, cycle time, yield, cost, and schedule. - Lead complex and ambiguous manufacturing test investigations, structuring problems, identifying technical and operational risks, and driving cross-functional teams to root cause and resolution. - Own manufacturing test readiness and outcomes through factory bring-up and production ramp with manufacturing partners, including fixture qualification, calibration, correlation, troubleshooting, and continuous improvement. - Analyze manufacturing and test data to identify systemic opportunities and deliver measurable improvements in yield, process capability, test coverage, quality, cycle time, and cost. - Establish manufacturing test best practices, methodologies, and standards that improve execution quality and scalability across programs. - Identify technical and execution risks proactively and drive mitigation strategies with engineering teams and manufacturing partners. - Contribute to product and manufacturing roadmaps by identifying test technology, infrastructure, and capability investments required for future products. - Mentor engineers and provide technical guidance on test architecture, debugging, automation, and manufacturing test methodologies. QUALIFICATIONS: - Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical discipline. - 10+ years of experience developing hardware test systems, automated test equipment, or manufacturing test solutions for high-volume consumer electronics or similarly complex products. - Demonstrated experience independently owning manufacturing test strategy and execution from product development through NPI, ramp, and mass production. - Proven ability to lead complex, ambiguous technical initiatives and drive outcomes across multidisciplinary engineering and operations teams. - Deep understanding of electronics, instrumentation, measurement systems, and communication protocols such as UART, I²C, SPI, USB, Bluetooth, and NFC. - Experience designing electronic circuits and PCBAs using tools such as Altium Designer. - Strong proficiency in Python for developing automated manufacturing test applications; experience with C/C++ or other systems languages is a plus. - Extensive experience designing, validating, and debugging manufacturing test fixtures, instrumentation, and production hardware. - Strong understanding of manufacturing test methodologies and data analysis, including test coverage, calibration, correlation, GR&R, process capability, yield analysis, and failure analysis. - Extensive experience working with CMs and JDMs, including factory bring-up, NPI, production ramp, and sustaining support. - Demonstrated ability to influence technical decisions, align stakeholders, and communicate effectively across engineering, operations, and leadership. - Track record of delivering measurable improvements in manufacturing quality, yield, efficiency, test coverage, or cost. - Experience mentoring engineers and improving engineering practices within a team. - Ability to travel up to 15%, both domestically and internationally. - Strong commitment to leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $180,000.00 - $215,000.00 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Worldwide Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. SDG invests in social discovery and IT startups around the world directly or via VC funds. Among our investments were Patreon, Open AI, Clubhouse, Coursera, Data.ai , Flo, Academia.edu , and many others. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Head of Design . Your main tasks will be: Own the end-to-end the product's user experience — from ad creative and landing pages through onboarding, avatar selection, chat, media generation and retention loops — holding the whole journey consistent, not just individual screens. Grow product metrics through design: conversion to purchase, retention, LTV. Form hypotheses, prioritize them, validate through A/B tests and see them through to release. Set a single design direction and evolve the design system: UI, UX patterns, character visual style, generated content, animation and UX copy. Lead the design team (2 product designers, a UX writer, a researcher), build the processes and the cross-functional work with product, analytics, marketing and engineering. Turn research, user interviews and support insights into concrete roadmap initiatives aligned with business priorities. We expect from you: 3+ years leading a design team of 3 or more in B2C daily-use products — AI companions, social, dating, health & fitness, edtech, messengers; products with 2M+ MAU or $50M+ in revenue. Cases with measurable design impact on metrics: what you changed, why, and how it moved CR, retention or LTV — with before and after numbers. Strong product design expertise: UX, UI, user flows, information architecture, prototyping; confident in Figma; experience building and maintaining design systems. Proven cross-functional work with product and analytics: A/B testing, prioritization frameworks (RICE), data-driven decisions — design as part of the product, not a separate function. A strong visual eye and taste paired with an analytical mind; English at C1 or above. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Russia; Perm; Moscow Workplace: remote ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. THE ROLE We are hiring a Team Lead, Web3 to lead a cross-functional team of frontend, backend, smart contract and QA engineers in XsollaZK, Xsolla's Web3 ecosystem on a zkSync-based L2. Your team builds: 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 management role. Most of your time goes to people and delivery: building the team, growing engineers, and making delivery predictable. The rest goes to technical leadership: architecture, reviews and hands-on code where it matters. Responsibilities WHAT YOU WILL OWN The team: hiring, onboarding, growth and performance of frontend, backend, smart contract and QA engineers Delivery: predictable commitments, a sustainable pace and the quality of what the team ships How the team works: processes, engineering standards and an AI-assisted workflow Relationships with Product, DevOps and other Xsolla product teams: priorities, dependencies and expectations The technical direction of the team's product area: on-chain / off-chain architecture and key technical decisions, justified in writing Security and reliability of what the team ships: signing flows, contracts that hold user assets, production operation and the team's on-call rotation WHAT YOU WILL DO People Set clear goals and expectations for each engineer Run regular 1:1s, performance reviews and career development conversations; give direct feedback and address underperformance Hire engineers across disciplines: define roles, run interviews and onboard new people Grow engineers through mentoring and build the team's next leaders Build a culture of technical excellence, collaboration and continuous learning Delivery Work with Product to shape requirements, estimate and plan work Manage scope, workload, risks and dependencies so the team delivers on its commitments Report progress, risks and blockers to stakeholders Lead the team through production incidents and post-mortems Continuously improve development processes and team efficiency Technical leadership Review architecture and critical code across backend, frontend and smart contracts, with a focus on edge cases specific to Xsolla products: smart wallets, tokenization of in-game items and currencies, marketplace and auction flows Lead key decisions on smart wallet integration (UserOperations, paymaster and gas sponsorship), session keys and the signing flow Identify systemic risks (key management, signature phishing, bundler and RPC dependencies) and make sure they are addressed before they become incidents Contribute hands-on to critical features when needed Set up AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) and drive its adoption across the team REQUIRED Management experience 5+ years of engineering management experience Managing cross-functional teams that combine several disciplines (for example frontend, backend, smart contracts and QA) Teams you led shipped dApps to production and maintained them People leadership Hiring and building teams: defining roles, running interviews, onboarding Performance management: setting goals, giving feedback, running performance reviews, handling underperformance Growing engineers: career plans, mentoring Delivery and stakeholders Delivery planning: estimation, sprint planning, managing scope, risks and dependencies Working with Product and other teams on priorities and trade-offs; explaining technical trade-offs to non-technical stakeholders Leading a team through production incidents and post-mortems Balancing management with hands-on technical work Technical depth A strong technical background: hands-on engineering experience across the Web3 stack, deep enough to lead technical decisions and review work on each layer: Web3 libraries and wallets: viem and wagmi in production; how wallet signers work (EOAs, browser and embedded wallets, smart accounts, EIP-191, EIP-712, EIP-1193); smart wallets (UserOperations, paymasters, ERC-1271) Backend: Go and TypeScript (Node.js); processing on-chain events (idempotency, reorgs, retries); asynchronous messaging (Kafka, RabbitMQ or NATS ); PostgreSQL and Redis; REST and gRPC API design Frontend: React and TypeScript; web security fundamentals ( XSS , CSRF , CSP , safe handling of signatures and keys in the browser) Smart contracts: reading Solidity and the EVM (storage, gas, proxy upgrade patterns, access control); common vulnerability classes (reentrancy, front-running / MEV , oracle manipulation, signature replay) Operations: Docker, Kubernetes, CI/CD; observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts) 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 ZK Stack and zk -rollups: EraVM vs EVM , system contracts (ContractDeployer, NonceHolder), L1↔L2 messaging, bridging and finality Smart contract development in Solidity with Foundry Deeper account abstraction: ERC-4337 EntryPoint versions and validation rules (ERC-7562, ERC-6492), modular accounts (ERC-7579 / ERC-6900), session keys and delegated permissions (ERC-7710 / ERC-7715), EIP-7702 Hands-on experience with wallet and AA infrastructure technologies (Sequence, thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, ZeroDev, Safe{Core}), with clear views on build versus buy Key management: HSM , MPC / threshold signing, social or guardian-based recovery DeFi ( DEX , AMM ) and NFT marketplaces (ERC-721, ERC-1155, auctions) go-ethereum and abigen Managing distributed or remote teams Gaming or fintech experience with high-load systems 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 on the Technical depth part of the Required section and the technical items in What you will own . People and delivery. Built on the Management experience , People leadership and Delivery and stakeholders parts of Required : real situations from your experience with hiring, performance, delivery and incidents. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. 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.

• Разработка и развитие модулей toolchain на Python: mors-linter, mors-builder, mors-deployer (CLI на Typer, packaging через uv/Hatchling). • Доработка и реализация интегрированного сценария на FastAPI: Web API (M-API), модули Repository, Transport, Deployment Orchestrator, Load, Administration;

Location: Russia; Moscow; Perm Workplace: remote About Xsolla Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. About the Role We are hiring a Staff Software Engineer to own the smart wallet and account abstraction layer of XsollaZK, Xsolla's Web3 platform on a zkSync-based L2. This is an individual contributor role with a large technical scope. You are the technical anchor for how millions of players get an on-chain account they never have to think about. The product. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account. The account is derived from their identity claim, is identical on every device, and its private keys never leave the client. It is not a separate wallet screen: it is the player's inventory. It backs: minting and gifting; trading on our Bazaar marketplace; Merkle-based reward airdrops; gas sponsorship; an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. Responsibilities The technical strategy and architecture of the smart wallet platform: account model, signing, session management and gas abstraction at scale The smart account and permissioning model, evolved to meet both product and compliance needs The security model where our signer meets third-party applications: what a player is actually approving, and proof that the UI shows it The custody and recovery roadmap, from today's interim mechanisms (including raw key export) to MPC -based custody Cross-team technical decisions on account architecture, SDK contracts, data modeling and platform reliability, with buy-in from the wallet, marketplace, SDK, mobile and security teams Engineering standards in the Web3 domain Production escalations in the wallet and account abstraction domain WHAT YOU WILL DO Design and evolve the ERC -4337 user operation lifecycle (prepare → sign → submit → confirm), EIP -7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives (including origin-bound Smart Sessions) that let players act without a prompt on every transaction Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable Define EIP -1193 / EIP -6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow Design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets Identify systemic risks (key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths) and lead initiatives that resolve them before they become incidents Write RFCs and design docs; review critical code, contracts and designs Work with product, security, legal and infra teams to align on the roadmap and turn business and regulatory needs into well-scoped technical plans Create leverage for the engineering org through documentation, tooling and mentorship Serve as the escalation point for complex production issues: a stuck user operation, a drained paymaster, a signing prompt a player didn't understand Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively REQUIRED Experience 8+ years of engineering in the Ethereum ecosystem working with crypto wallets and smart wallets Designing or operating a production smart wallet or account abstraction system serving real users and real value Shipping and operating systems where a bug meant lost funds. You can talk concretely about the guardrails, reviews and rollback paths you put in place Account abstraction and smart wallets ERC -4337 in depth: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules ( ERC -7562), gas estimation and its failure modes, counterfactual deployment, signature validation for undeployed accounts ( ERC -6492) EIP -7702 and the post-Pectra landscape: EOA delegation, its interaction with EntryPoint v0.8, and the risks it introduces (residual key authority, delegation phishing, storage collisions) Building on or extending production smart account implementations; modular account standards ( ERC -7579 / ERC -6900) Session keys and delegated permissions: scoped, time-limited, policy-bound authority; TTLs and contract allowlists, origin binding, permission revocation; ERC -7710 / ERC -7715 Signature schemes and wallet interfaces: EIP -712 typed data, ERC -1271 contract signatures, WebAuthn / passkey (P-256) signers; EIP -1193, EIP -6963, EIP -5792 batched calls, ERC -7677 paymaster interfaces Smart contracts and EVM Solidity and the EVM : reading, reviewing and writing account, paymaster and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors L2 specifics and their effect on wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, RPC and indexer semantics Backend Go: idiomatic code, concurrency patterns, performance profiling TypeScript and SDK design: client-side SDK surfaces that internal and external teams build on Distributed systems and their trade-offs (consistency, availability, failure modes); reconciling off-chain state against an authoritative on-chain result Data and infrastructure PostgreSQL: schema design, query optimization, migrations at scale Kubernetes: deploying, operating and debugging services Asynchronous messaging and event-driven design (Kafka or NATS ): consumer groups, at-least-once delivery Git, CI/CD Security Key management in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each Wallet threat modeling: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, paymaster griefing and DoS Leadership Leading multi-quarter technical initiatives across teams Influencing architecture and standards beyond your immediate team RFCs and design docs that stand on their own and are actionable without you in the room 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 English at C1 level Nice to Have Hands-on experience with ZK Stack and zk -rollups Hands-on experience with embedded and ecosystem wallet and AA infrastructure technologies (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}), with clear views on build versus buy MPC / threshold custody, social recovery or guardian-based recovery in a consumer product NFT and token infrastructure at scale: ERC -721 / ERC -1155 / ERC -20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security or identity projects, including authoring or reviewing ERC / EIP standards Compliance requirements for crypto consumer products: KYC / AML , geofencing, MiCA , SOC 2, ISO 27001, GDPR data minimization, audit logging Identity and auth integration for wallet derivation: OAuth 2.0 / OIDC , JWT verification, token scoping Platform or infrastructure engineering: building systems other engineers build on Owning a mobile wallet surface: React Native / Expo, WebView provider injection, native signing UI Gaming industry experience: platforms for game developers, publishers or players 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 work across time zones, so a design has to stand on its own. 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. System design. You design part of a wallet or account abstraction platform end to end and walk us through the trade-offs. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. 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)