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Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As an Infra Product Manager, you will be responsible for the design, development, and lifecycle management of Web3 cross-business infrastructure products, with a focus on core components such as central data services, market data systems, labeling systems, asset category management, and algorithm platforms for Wallet, DEX and other businesses. You will collaborate closely with engineering, data, and business teams to ensure products meet the performance, security, and scalability requirements of Web3 businesses. This role demands strong product thinking, technical depth, and insight into the Web3 industry to help the team build an efficient and reliable Web3 Infra system. What You’ll Be Doing Central Data Services Management : Oversee the design of central data services for Web3 cross-business domains, including data collection, integration, storage, querying, and distribution. Ensure real-time data accuracy, security, and support for complex business needs and multi-platform environments. Market Data System Development and Optimization : Contribute to the product design and iteration of a universal market data system, delivering real-time market data (e.g., price, trading volume, liquidity metrics). Support API and front-end integration while optimizing system performance for high-concurrency scenarios. AI Trading Products : Able to design DEX AI Trading Products based on trading strategies, meme tokens, smart money signals, and leverage the latest AI technologies (AI Agent, LLM etc.) DeFi Native: Have a solid understanding of Web3, including its core concepts, underlying blockchain technologies, and emerging ecosystems such as DeFi, NFTs, DAOs, and Layer 2 solutions. Stay closely informed about the latest industry trends, market dynamics, and technological developments, with the ability to quickly assess and adapt to new protocols, products, and narrative shaping space. Onchain Data and Smart Contract Analysis : Conduct research on smart contracts, understand how Dapps and protocol works, design and improve product infra performance based on the protocol underlying mechanics, make sense of the onchain data whenever necessary. Algorithm Development and Improvement : Design and iterate an algorithm to support on-chain data analytics, trading signal discovery, and risk control scenarios. Manage the integration, testing, and deployment of algorithm models to ensure efficiency and reliability of outputs. Collaborate with data analysts and data scientists to integrate machine learning or on-chain analytics models, elevating the intelligence of Infra products. What We Look For In You Education : Bachelor’s degree or above in Computer Science, Software Engineering, or a related field. Work Experience : At least 5 years of experience as a Product Manager. Preference for candidates with Web3 industry experience or expertise in infrastructure products (e.g., data services, labeling platforms, algorithm platforms). Technical Skills : Experience with blockchain fundamentals, including smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies. Familiar with onchain and web3 ecosystems, a genuine passion for the crypto industry and proactive engagement with the community are highly valued. Proficiency in product management and system-design thinking is strongly preferred. Proficiency in AI technology, Agent, LLM, and AI application experience is a huge plus. Basic knowledge of algorithm platforms; familiarity with machine learning models or data analytics workflows is preferred. Soft Skills : Excellent communication and collaboration skills, with the ability to effectively bridge business and technical teams. Strong user-oriented mindset, capable of designing products based on user pain points. Robust problem-solving skills and the ability to make quick decisions in uncertain environments. Fluent in English and Chinese. Nice to Haves Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies. Experience with on-chain trading and an understanding of on-chain opportunity discovery processes. Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-MX1 #LI-ONSITE 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: Cincinnati, United States The Continuous Improvement Manufacturing Engineer is part of the company’s corporate Engineering team and will be based at one of the plant locations in Monroe, OH; Jackson, TN; Somerset, KY; or Valparaiso, IN. This position will lead the Continuous Improvement focus at the plant level while also supporting new product launch activities. The Continuous Improvement Manufacturing Engineer will serve as the primary resource for Continuous Improvement team training and assist the plants in sustaining gains achieved through CI efforts. This position will support kaizen events at the plants and will drive best practice standardization across all plant locations. This position will also support new product launch activities at the plants, with the goal of achieving all KPIs at the cost sheet level at the start of production. What you will do at the company: Serve as the Continuous Improvement subject matter expert for the company. Schedule and participate in kaizen events, including cycle time analysis, brainstorming, problem-solving, standard work, setup reduction, 5S, cell layout, visual management, and error-proofing activities in the plants. Coach, train, and mentor plant Continuous Improvement team members on TPS and CI principles. Support best practice implementation and standardization across all plants through consistent communication and visits to other plant locations. Assist production operations in driving manufacturing efficiency improvements across all plants using process improvement tactics, lean manufacturing, Six Sigma, and kaizen. Update and maintain all Continuous Improvement procedures and standards within the Docushare database. Assist with product launch activities at the plants to ensure processes are developed to meet all cost sheet KPIs, including labor content, cycle time/PPH, and scrap levels. Maintain systems used to supply trial production data for launch report card maintenance. Provide clear work instructions, training, and system designs to support the sustainability of improvements. Support Agile tasks related to product launch inputs such as environmental and safety analysis, process layout, trial reports, and PFMEAs. Provide feedback to corporate Project and Tooling Engineering Managers to ensure equipment and tooling standards are updated based on plant best practices. Promote and drive efficiency and safety at the plants. Perform other related duties as assigned. What you will bring to the company: Bachelor’s degree in Mechanical Engineering, Industrial Engineering, or an equivalent field from an accredited college or university, or an equivalent combination of education and experience. Strong TPS and CI skills, with the ability to coach, mentor, and train team members. 3 to 8 years of related experience and/or training in continuous improvement within a manufacturing environment. High level of technical aptitude with a strong understanding of systems, equipment, and processes. Hands-on experience and the ability to troubleshoot complex manufacturing equipment. Ability to effectively present information to top management, public groups, and boards of directors. Ability to apply advanced mathematical concepts and principles of logical or scientific thinking to a wide range of practical and technical problems. Proficiency in Microsoft Office applications, including Word, Excel, and Outlook, as well as Internet tools, AutoCAD, and design software. Required knowledge and understanding: TPS and Continuous Improvement principles Lean Manufacturing Proficiency in AutoCAD Travel Requirements: This position requires travel up to 50% of the time. Salary: $100,000 – $125,000 / year

Location: Mexico; Argentina; Colombia; Costa Rica; Brazil We are looking for a Senior Electrical Engineer to lead the design of electrical systems for modular generator power platforms used in data centers, industrial infrastructure, and utility backup power applications. In this role, you will design power distribution architecture, generator control systems, and paralleling switchgear that enable reliable standby and prime power generation. You will collaborate with mechanical engineering, manufacturing, and integration teams to deliver production-ready generator modules. This position is ideal for engineers experienced in power systems, generator integration, and industrial electrical design . Requirements Design electrical systems for modular generator power platforms Develop single line diagrams, wiring schematics, and electrical layouts Integrate generators with switchgear, transfer switches, protection systems, and distribution equipment Design and support generator synchronization and load sharing systems Develop monitoring and control systems for generator operation Define grounding strategies and protection coordination for generator power systems Coordinate electrical design with mechanical packaging and modular enclosure systems Support commissioning, testing, and system validation of generator power systems Produce production-ready electrical documentation supporting manufacturing and deployment Required Qualifications Bachelor’s degree in Electrical Engineering 8+ years of experience in electrical power systems or generator electrical design Strong experience with electrical distribution systems and protection devices Experience developing electrical schematics, wiring diagrams, and control systems Experience working with industrial power equipment or generator systems Preferred Qualifications Experience with standby power systems or data center backup power Experience integrating generator controls and paralleling switchgear Experience with microgrid or hybrid power systems Experience supporting commissioning and testing of generator power systems Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: South Africa; Poland; Portugal; Romania; Mexico; Nigeria About Huzzle At Huzzle, we connect exceptional talent with leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from high-growth startups to established digital brands across SaaS, eCommerce, MarTech, FinTech, and online services. Unlike traditional outsourcing agencies, we place you directly with a client where you are hired in-house as a valued team member. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re hiring a Creative Strategist to build and operate a systematic, data-driven creative engine that improves ad performance across multiple home improvement client accounts. This role sits between performance data and creative production . You will diagnose why ads succeed or fail, design structured creative testing frameworks, and translate insights into detailed briefs for production teams. You will not manage ads, edit videos, or run client calls . Instead, your focus will be building a repeatable creative system that continuously improves CPL, creative performance, and account stability . This is an ideal opportunity for someone with strong paid social creative strategy experience who enjoys combining analytics, consumer psychology, and structured experimentation to drive measurable results. Key Responsibilities Analyse performance across multiple paid social campaigns for home improvement clients. Diagnose creative performance issues using data points such as hook rate, CTR, thumb stop rate, watch time, frequency, and CPL trends . Identify the psychological drivers behind winning creatives including transformation, safety, status, and esteem. Design structured creative testing frameworks including hook testing, angle testing, and CTA testing. Develop new creative angles and messaging based on market sophistication and audience awareness stages. Write detailed creative briefs for videographers and editors , ensuring production teams execute with clarity. Analyse test results and iterate creative direction based on performance evidence. Identify patterns and winning strategies across multiple client accounts and industries. Document insights and maintain a shared creative knowledge system . Collaborate closely with media buyers and production teams to improve overall account performance. Requirements Must haves Proven experience improving paid social performance through creative strategy , not just media buying or copywriting. Strong ability to analyse Meta Ads performance at the creative level (CTR, hook rate, watch time, frequency, CPL trends). Experience building structured creative testing frameworks rather than relying on ad-hoc idea generation. Ability to clearly diagnose why ads succeed or fail using data insights . Experience writing detailed creative briefs for video production teams . Strong understanding of consumer psychology and emotional buying drivers . Ability to identify patterns across multiple accounts and industries , not just single campaigns. Clear, structured communication skills with the ability to translate insights into actionable creative direction. Strong ownership mentality with accountability for performance outcomes. Nice to Have Experience working in a performance-focused paid social agency environment . Background in high-ticket or local service industries (home improvement, solar, roofing, property, kitchens, etc.). Experience analysing creative metrics like Hook Rate, Thumb Stop Rate, Watch Time, CTR, and Frequency . Experience managing high-volume creative testing environments with frequent launches. Understanding of market sophistication and awareness stages . Experience identifying and developing unique mechanisms or differentiated offers . Familiarity with first-party data environments and creative-led targeting strategies . Experience documenting insights and building internal knowledge systems using tools like Notion . Comfort using AI tools such as ChatGPT or Claude to accelerate research and ideation. Benefits Fully Remote: Work from anywhere with international teams Peer Community: Connect with high-performing professionals in our network Ongoing Support: Receive guidance from Huzzle before and after placement Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

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 Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission. We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business. What you’ll do Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own. Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t. Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change. Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them. Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers. Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale. Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages. Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle. You may be a good fit if you Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable. Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line. Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds. Strong candidates may also have Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack. Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short. Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit. Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing. Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Jackson, United States Position Summary The Senior Electrical Engineer develops and implements new electrical technologies for air compressor products. Reporting to the Director of Engineering, this role provides hands-on engineering support for electrical components and systems and partners with Purchasing, Manufacturing, and Quality to design, validate, and launch new products for the global compressor market. This position requires strong problem-solving skills and comfort working in a fast-paced, collaborative environment. Key Responsibilities • Design electrical components, assemblies, and systems for air compressor products. • Perform design calculations and engineering analysis to validate product designs. • Create and execute test protocols for electro-mechanical design validation and reliability. • Ensure products meet applicable compliance standards and certification requirements (UL, ETL, CSA). • Develop, maintain, and communicate project schedules, milestones, and status updates to internal teams and external partners. • Partner with Manufacturing and third-party agencies (UL/CSA) to support compliance testing and approvals, including UL1450 and CSA C22.2 No. 68. • Support product improvement and cost reduction initiatives. • Conduct failure analysis using standard lab equipment, document findings, and provide clear written reports. • Support new product development processes (Stage-Gate or milestone-based). • Provide technical support to internal teams and collaborate with suppliers and vendors on product changes and improvements. Core Technical Competencies • Electric motors: Single-phase and three-phase induction, universal, PMDC, and brushless DC. • Motor controls: Design systems to start/stop motors safely, reliably, and durably. • Documentation: Create and interpret schematics and wiring diagrams for assembly and troubleshooting. • Testing: Build rigorous validation plans that prove system reliability. • System integration: Strong understanding of integrating electrical systems into complete products. • Regulatory compliance: Experience working with UL/CSA and manufacturing teams to meet standards. • Hands-on capability: Strong mechanical intuition and practical, hands-on engineering approach. • Communication: Clear, effective collaboration with internal teams and external vendors. Education and Experience • Bachelor’s degree in Electrical Engineering required. • 7+ years of electrical engineering experience focused on electric motors and motor controls. Air compressors or power tools experience preferred. • Experience with new product development in a manufacturing environment. • Project management and organization skills using Microsoft Office tools. • Experience with cost reduction and product improvement projects. • Experience with battery and battery charging systems preferred. • Ability to create and interpret schematic and wiring drawings. • Experience with PCB layout. EMC/EMI experience is a plus. • Knowledge of ASME pressure vessels is a plus. • Proficient in Windows and Microsoft Office. Work Requirements • Full-time role (40 hours/week). Additional hours may be required to meet deadlines. • Must meet attendance standards and follow safety and security practices. Salary: $100 – $135 / year

Location: Stamford, Connecticut, United States About the Role iCapital is looking to hire an experienced Python Developer with expertise in web scraping, automated portal interactions, and cloud-native deployment using AWS. The ideal candidate will have hands-on experience working with Playwright for browser automation, managing multi-factor authentication (MFA) flows, and deploying scalable scraping tasks via AWS Lambda and related services. This role will assist in architecting and building robust, secure, and scalable scraping solutions that interact with complex web applications and secured portals. Responsibilities Assist with the design and implementation of advanced scraping solutions using Python, Playwright, and AWS services. Automate interactions with JavaScript-heavy and authentication-secured websites, including handling MFA, CAPTCHAs, and session or token-based login flows. Architect scraping pipelines using serverless AWS components such as Lambda, Step Functions, S3, CloudWatch, and Secrets Manager. Build systems that scale to support high volumes of data extraction with fault tolerance, retries, and intelligent logging. Integrate and manage complex workflows across multiple portals, APIs, and data sources. Contribute to architectural decisions, tooling, and best practices. Qualifications Bachelor’s or master’s degree in computer science, software engineering, or related field, or equivalent professional experience 10+ years of experience in Python development, with a strong focus on automation and data extraction Proven expertise in web scraping using tools like Playwright, Selenium, Scrapy, BeautifulSoup, and requests In-depth experience handling multi-step authentication flows, including multi-factor authentication (MFA), CAPTCHA solving, and session or cookie management Proficient in deploying and managing scraping workloads in AWS, particularly Lambda, S3, IAM, CloudWatch, and Secrets Manager Experience with asynchronous programming, headless browsers, and JavaScript-rendered content Solid understanding of web protocols (i.e. HTTP, HTTPS, cookies, headers), and the ability to reverse-engineer network calls and authentication mechanisms Comfortable working with APIs, JSON/XML, and data transformation Experience with CI or CD pipelines, Docker, and infrastructure as code (i.e. CloudFormation, Terraform) Familiar with data pipeline orchestration tools such as Apache Airflow or AWS Step Functions Prior experience scraping from secure or enterprise-level portals (i.e. financial, healthcare, legal) Background in data engineering or ETL workflows is a plus Exposure to Python testing frameworks and writing unit or integration tests Benefits The base salary range for this role is $150,000 to $180,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Hong Kong, Hong Kong SAR About the Role We are looking for a highly capable Senior Strategy PMO / Project Manager to join our CEO Office / Strategy PMO team. This role goes beyond traditional project management — you will operate at the intersection of strategy, execution, and organizational scaling , partnering closely with senior leadership to drive high-impact, cross-functional initiatives across the company. This is a high-exposure role suited for candidates who thrive in fast-paced environments and are comfortable navigating ambiguity, complexity, and executive-level expectations. Responsibilities Drive end-to-end planning and execution of company-level strategic initiatives, spanning product, engineering, risk, growth, and operational transformation. Partner with senior leadership to translate high-level strategies into executable roadmaps and delivery mechanisms. Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams. Identify cross-team bottlenecks and systemic inefficiencies, and drive structural solutions rather than one-off fixes. Lead high-complexity, cross-functional programs (e.g., trading systems, risk infrastructure, growth platforms, or platform-level transformations). Support and accelerate company-wide AI transformation initiatives, including: Driving AI adoption across product and operational workflows Coordinating cross-functional AI pilots and scaling best practices Building execution frameworks for AI-enabled delivery models Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making. Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity. Requirements 5–10 years of experience in strategy PMO, program management, or high-impact project delivery roles. Strong experience driving complex, cross-functional initiatives in fast-paced environments such as: Top-tier internet companies Global tech companies or scale-ups Fintech, trading, or platform-heavy organizations Proven track record of delivering technically complex programs (e.g., trading systems, risk controls, user safety, growth platforms, infra-heavy initiatives). Strong systems thinking — able to identify root causes and design scalable solutions. Excellent execution skills with a bias toward action and outcomes. Strong communication and stakeholder management skills, including experience working with senior executives. High ownership mindset with the ability to operate independently in ambiguous environments. Preferred Qualifications Background in technically intensive domains such as: Trading infrastructure or financial systems User risk control systems or user growth Platform architecture Experience in crypto, fintech, or global-scale platforms. Experience driving AI adoption in product, engineering, QA, or operational workflows. Bilingual (English + Mandarin) to collaborate effectively across global teams. 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: Hong Kong, Hong Kong SAR; Singapore, Singapore About the Role We are looking for a highly capable Senior Strategy PMO / Project Manager to join our CEO Office / Intelligence & Performance (IP) team . This role goes beyond traditional project management — you will operate at the intersection of strategy, execution, and organizational scaling , partnering closely with senior leadership to drive high-impact, cross-functional initiatives spanning growth, platform risk, and trading product experience . This is a high-exposure, high-intensity role suited for candidates who are genuinely hungry to build something meaningful — comfortable navigating ambiguity, complexity, and executive-level expectations, and willing to fight for outcomes rather than just manage process. Responsibilities Drive end-to-end planning and execution of company-level strategic initiatives, spanning growth, platform risk, trading product experience , and organizational transformation. Own the health and evolution of core trading/platform experience — identifying friction points across the user trading journey and driving cross-functional fixes at the root-cause level, not surface patches. Partner with senior leadership to translate high-level strategy into executable roadmaps and delivery mechanisms. Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams. Identify cross-team bottlenecks and systemic risk/inefficiency, and drive structural solutions rather than one-off fixes. Lead high-complexity, cross-functional programs (e.g., growth platforms, platform risk controls, trading systems, or platform-level transformations). Support and accelerate company-wide AI transformation initiatives, including: Driving AI adoption across product and operational workflows Coordinating cross-functional AI pilots and scaling best practices Building execution frameworks for AI-enabled delivery models Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making. Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity. Requirements 5–10 years of experience in strategy PMO, program management, or high-impact project/product delivery roles. Genuinely aggressive and entrepreneurial — someone who wants to build something real, is willing to grind through ambiguity, and treats this as a mission rather than a job. Strong independent thinking and critical reasoning — able to question assumptions, challenge existing frameworks constructively, and form your own point of view rather than just execute. Strong data analysis capability — comfortable working with SQL/data queries and dashboards independently, able to translate ambiguous business questions into structured analysis and defend conclusions with data, not just process narrative. Strong experience driving complex, cross-functional initiatives in fast-paced environments such as: Top-tier management consulting firms Top-tier internet companies (ToC product management background welcome) Global investment banks Fintech, trading, or platform-heavy organizations Proven track record of delivering technically or operationally complex programs (e.g., growth platforms, trading systems, platform risk controls, user safety/experience, infra-heavy initiatives). Strong systems thinking — able to identify root causes and design scalable solutions. Excellent execution skills with a strong bias toward action and outcomes. Strong communication and stakeholder management skills, including experience working with senior executives. High ownership mindset with the ability to operate independently in ambiguous environments. Preferred Qualifications Background in technically or commercially intensive domains such as: Growth / user acquisition platforms Platform risk control systems Trading infrastructure or trading product experience Prior experience as a ToC product manager at a leading internet company, or as a strategy/management consultant at a top-tier firm, or in investment banking (M&A, coverage, or strategy roles). Experience in crypto, fintech, or global-scale consumer platforms. Experience driving AI adoption in product, engineering, QA, or operational workflows. Bilingual (English + Mandarin) to collaborate effectively across global teams. 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: 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 As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs. You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment. Responsibilities: Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity You may be a good fit if you: Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements Have experience working with research or ML teams and translating their needs into operational plans and technical requirements Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership Have a track record of building trust with engineering teams and driving changes through influence rather than authority Strong candidates may also have: Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers) Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 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: European Union Workplace: Remote About the Role Playson is a leading online gaming supplier with worldwide recognition which was founded in 2012. We offer complete gaming solutions based on the latest technologies and detailed market analysis for the leading iGaming operators. Operating with growth and scalability, we are excited to invite experienced Mathematicians to apply for the opening in the Game development squad. The chosen candidate will be collaborating with Product Owners and Mathematicians, and have an opportunity to contribute to the company’s overall goals. Key Responsibilities - Develop engaging game mathematics and mechanics in collaboration with Product Owners and cross-functional teams - Fine-tune game mathematics and mechanics into the best possible product - Perform simulations of game math to understand how it compares with the desired outcome and with other games in the portfolio - Provide competitive game math analysis to reveal valuable insights - Rapid prototyping of game mechanics to prove the concept - Be involved in the game creation process from start to finish - Collaborate with development teams, provide game math specifications - Be a discussion sparring partner inside our team to help build better games - Analyse risks and determine the probability of wins for player investigations - Share knowledge, establish best practices, and challenge the status quo - Provide analytical support, including Big Win validations, player session analysis, and RTP deviation monitoring to ensure game integrity and performance Requirements - Proven track record (3+ years) of successful work as a game mathematician in online gambling - Scripting skills, any programming language (Typescript, Javascript preferred) - Good understanding of main programming paradigms - Talent for solving abstract and highly complex math problems - High attention to detail: ability to spot even small mistakes in your math models and troubleshoot them - Interest in slot games both from a developer and player point of view - Ability to quickly prototype rough ideas - Basic understanding of HTTP client-server requests - Data-driven and analytical mindset in decision-making - Motivated by challenges and stretch goals - Good level of spoken and written English Nice to Have - Strong mathematical intuition, creativity, and curiosity - Ability to look at games from the players’ point of view - Practical experience with workflow management tools (Jira), collaboration software (Confluence) What we Offer - Competitive Salary: We offer a competitive salary in EUR, subject to annual performance reviews - Quarterly Bonuses: Benefit from a transparent and systematic quarterly bonus system - Flexible Schedule: We offer a flexible work schedule to accommodate your needs - Remote Work Option: Choose to work remotely, providing greater flexibility and comfort - Medical Insurance: Receive comprehensive medical insurance for both you and a significant other - Financial Support for Life Events: We provide financial support during special life events - Unlimited Paid Vacation: Enjoy unlimited paid vacation leave - Unlimited Paid Sick Leave: Take unlimited paid sick leave whenever necessary - Professional Development: Get reimbursement for professional development courses and training Recruitment Process - HR Interview - Take home assignment - Technical Interview - Final Interview By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Tabuk, Saudi Arabia; Lusail, Qatar Eram Talent is currently seeking a dedicated Prototyping Support Technician to join our team in Saudi Arabia. The Prototyping Support Technician provides operational support for outdoor testing projects and maintains general prototyping workshop equipment. The role supports the planning, coordination and execution of technical initiatives, experiments and installations, while also contributing to the reliable operation, troubleshooting and continuous improvement of Prototyping Core Lab assets and equipment. As a Prototyping Support Technician, you will have the opportunity to work with advanced manufacturing technologies and contribute to innovative design processes. Key Responsibilities: Coordinate and support renewable energy–related technical activities, including planning, scheduling, and execution of experiments, tests, and installations. Provide hands-on troubleshooting and diagnostics for electrical, electronic, mechanical, and control systems within the Prototyping Core Lab. Perform routine inspections and preventative maintenance to ensure equipment reliability, safety, and optimal performance. Assist in equipment setup, installation, commissioning, and verification to ensure systems meet technical specifications and operational requirements. Apply strong technical knowledge of electrical, mechanical, mechatronic, PLC, CNC, and control systems used in prototyping environments. Coordinate technical tasks and installations effectively, ensuring timelines, resources, and safety standards are maintained. Support researchers and project teams with practical problem-solving, technical guidance, and adherence to SOPs and HSE procedures. Maintain accurate technical documentation, maintenance records, inspection reports, and project logs. Contribute to continuous improvement by identifying workflow enhancements, conducting risk assessments, and implementing root cause analysis to prevent recurring issues. Demonstrate adaptability and the ability to work effectively in outdoor testing environments and under operational pressure. Requirements Technical diploma or accredited apprenticeship in Electrical, Electronic, Mechatronics, Mechanical, or a related technical field. 5 years of hands-on experience in commissioning, testing, and maintenance of electrical and/or mechatronic systems. Practical experience servicing and maintaining prototyping workshop equipment, with PLC and CNC exposure considered an advantage. Proven ability to troubleshoot and resolve electrical, mechanical, electronic, and control system faults effectively. Experience working in technical laboratory, workshop, or outdoor testing environments with strong adherence to safety and documentation standards.

Location: Remote, AMER Workplace: Remote Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a Senior Postgres Engineer to join our Postgres Team and help maintain and expand the stability and functionality of our hosted Postgres offering . You’ll work closely with customers, partners, product, engineering, support and success, helping us maintain a secure, stable, performant, and functional Postgres foundation. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. This role also requires strong working overlap with Americas time zones due to production support and on-call responsibilities. WHAT YOU'LL OWN: - Build and maintain PostgreSQL extensions in C and Rust, with a deep understanding of internals — parser, planner, WAL mechanics, and MVCC - Diagnose and resolve issues in managed PostgreSQL deployments, including custom extension failures, core dump analysis, and performance bottlenecks - Own idempotent deployment pipelines across thousands of running PostgreSQL instances, including testing and rollout strategies - Manage complex extension ecosystems — compatibility, upgrade paths, and conflict resolution - Work with PostgreSQL's background worker framework, shared memory management, and hook system to build reliable, scalable functionality - Collaborate closely with customers, partners, product, engineering, support, and success teams to maintain a secure, stable, and performant Postgres foundation WHAT YOU BRING: - Deep expertise in PostgreSQL internals - query planner, executor, and storage engine mechanics - Proven experience building PostgreSQL extensions in both C and Rust - Strong knowledge of PostgreSQL's permission model: RLS, roles, and grant systems - Experience troubleshooting production issues in managed PostgreSQL environments, including custom extension issues, performance bottlenecks, and resource contention - Comfortable building, testing, and owning idempotent deployments across thousands of running Postgres instances - Ability to read and navigate PostgreSQL source code confidently - Experience with multi-tenant database architectures - Experience running PostgreSQL at scale WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: New York, New York, United States About the Role iCapital is looking to hire a Assistant Vice President or Vice President to join the new m+ ETF Distribution team responsible for growing assets under management (AUM) by promoting and distributing the firm’s new ETF lineup to financial advisors, RIAs, Broker Dealers, and TAMP platforms. This role sits at the intersection of capital markets, portfolio construction, and relationship management.  This high-performing leader will report to the m+ funds Division Manager and will work on a team of professionals who are making an impact at iCapital. This individual is strategic, entrepreneurial, hands-on, and able to manage multiple clients, while developing new relationships. Responsibilities Leverage a consultative sales process to acquire new relationships, expand existing client relationships, and service existing clients. Onboard new clients, through existing wealth management home office relationships, to iCapital’s best-in-class network. Work with other Sales teams within iCapital to expand the reach of m+ ETFs within the iCapital ecosystem. Educate advisors on the merits of m+ ETFs as part of client portfolios. Travel regularly in the market to meet with advisors and clients to support new and existing business. Utilize contact management system to capture information, schedule follow up activities and manage pipeline. Collaborate with the Marketing team on email campaigns, webinars, industry events, etc. Collect and maintain competitor analysis. Qualifications 7+ years of experience working within the investment industry in a client facing capacity (i.e. external wholesaler, internal wholesaler, relationship manager, product specialist),ETF Sales experience is highly preferred, capital markets or derivatives experience is a plus Bachelor’s degree in a related field Demonstrated ability to work in a fast-paced entrepreneurial environment and follow a rigorous sales process Strong understanding of ETFs (structure, tax treatment, liquidity), portfolio construction, and creation/redemption mechanics Self-sufficient and able to explain complex concepts simply Proven sales or relationship-management experience Comfortable with market volatility and performance conversations Able to sell and provide support across multiple m+ ETF strategies Series 7 and 63 licenses are required Experience covering RIA aggregators, larger RIAs, and independent broker-dealers and strong relationships with these client segments is preferred Willing to travel 50% of the work schedule Benefits The base salary range for this role is $130,000 to $185,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: 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 The Account Abuse team is tasked with ensuring Anthropic’s computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents’ perspectives, understand their means and motives, and anticipate their responses to countermeasures. Responsibilities: Ability to think and respond quickly in a rapidly-changing greenfield environment Jumping into other teams’ code to identify key points to gather signals or introduce interventions with minimal impact on their systems’ stability, complexity, or overall architecture Integration with third-party data-enrichment vendors Creating monitoring dashboards, alerts, and internal admin UX Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability Building robust and reliable multi-layered defenses Lead root cause analyses and deep-dive investigations into account activity to identify abuse patterns, uncover emerging attack vectors, and inform both immediate enforcement actions and longer-term systemic defenses You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, SQL, and data analysis tools. Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of industry software engineering experience (not including internships and co-ops), preferably with a focus on integrity, spam, fraud, or abuse detection. Have experience building trust and safety mechanisms for and using AI/ML systems, such as fraud-detection models or security monitoring tools or the infrastructure to support these systems at scale Have worked closely with operational teams to build custom internal tooling 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations. Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed. In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts. RESPONSIBILITIES - Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency. - Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models. - Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models. - Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency. - Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors. - Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer. REQUIREMENTS - You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement. - You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it. - You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues. - You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs. NICE TO HAVE - Deep knowledge of NCCL, NVSHMEM, and UCX. - Experience with Rust for systems-level or performance-critical networking code is a strong plus - Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS. - Familiarity with TensorRT-LLM, vLLM, or SGLang. - Experience running low-level benchmarks to "qualify" new hardware clusters. THE TEAM - Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks. - We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond. - High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Gladstone, Australia About us: A leading specialist engineering services company delivering integrated solutions for complex energy, infrastructure projects and operating assets. Our business is built on the belief that our people are what make EnerMech excellent. When we are thriving globally it’s not just about investing in our infrastructure, service offering and technology, but by also investing in our people As an Industrial Service Technician with EnerMech you will have the opportunity to grow with the business and contribute to the organisation's continuing success About the Role You will operate and set up onsite mechanical pressure systems of liquid / air pressure systems including components of: pumps, hoses, generators, filters etc. Setting up of calibrated equipment within mechanical  pressure systems Work under Leading Hands in all tasks, responsibilities, duties, work and projects as may be requested Perform any administrative requirements including accurate completion of work timesheets, JHA’s, vehicle check sheets, equipment inventory lists or any other documentation as may be required in the role. Follow EnerMech best practices and internal policies in relation to safety, fatigue, cleaning equipment, support equipment, Personal Protective Equipment, inventory control, client relations. Participate in external and/or internal training as required for: Upskilling and/or cross training Requirements To be considered for this role you will have experience in the following areas : Pressure testing, chemical cleaning, flange management, high pressure blasting Must have experience around mechanical equipment and items Ability to react, work under pressure and to tight deadlines Willingness to accept new challenges Strong focus on Teamwork and capable of working unsupervised Positive and team-based attitude Willingness to learn other industrial services such as leak sealing, hot tapping, chemical cleaning, pressure testing Required skills and Tickets: Current Driver License HPW Licence Construction Induction (White or Blue Card) Working at Heights within 2 years is desirable Confined Space Entry within 2 years is desirable RTAY access card and QAL access card is desirable

Location: London, UK 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. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! 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: £260,000 — £630,000 GBP 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.