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Location: Guangzhou, China The Company Our client was founded in 2009 and is headquartered in San Francisco. They describe themself as a “Retail Maximization Company,” focused on helping retailers, brands, and CPG companies improve digital revenue, customer experience, operational efficiency, and technology modernization. Their core positioning is highly retail-specialized rather than being a general-purpose IT services company. They emphasize deep expertise in: retail commerce, omnichannel systems, supply chain technology, AI and data platforms, experience design, cloud modernization, digital engineering, performance engineering, eCommerce migration, and upgrades. The Role As a FlexPLM Support Engineer, you will provide functional and technical support for the client's Product Lifecycle Management (PLM) platform, ensuring smooth day-to-day operations and continuous improvement of the system. You will work onsite at the client's office in Guangzhou while collaborating closely with distributed engineering teams across China, India, and the United States. This role offers the opportunity to work on enterprise-scale retail technology platforms supporting global product development processes. This position is ideal for someone with strong PLM expertise, excellent problem-solving skills, and the ability to work effectively in a cross-functional, international environment. Key Responsibilities Provide day-to-day support for the client's FlexPLM platform and related PLM modules. Troubleshoot production issues and provide timely resolutions for business users. Support multiple Product Lifecycle Management modules, including: Line Sheet Management Bill of Materials (BOM) Materials Management Sample Management Participate in system configuration, functional implementation, testing, and production support. Gather business requirements and translate them into technical or functional solutions. Perform business process analysis and process mapping to improve system efficiency. Support integrations with enterprise systems using web services and APIs. Write, optimize, and troubleshoot SQL queries in Oracle databases. Contribute to system documentation, knowledge sharing, and continuous improvement initiatives. Requirements Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. At least 7 years of overall IT experience. 3–5 years of hands-on experience with Product Lifecycle Management (PLM) platforms. Experience supporting FlexPLM (Version 11 or above) is highly preferred. Candidates with experience in other enterprise PLM platforms are also encouraged to apply. Strong understanding of retail product development processes, including: Line Sheet Management BOM Management Materials Management Sample Management Experience with PLM configuration, functional implementation, business analysis, testing, production support, and requirements gathering. Knowledge of FlexConnect/TRC is an advantage. Strong understanding of FlexPLM Type Manager and its underlying data model is preferred. Experience with: SQL (Oracle) JavaScript Java JSP XML JSON REST and SOAP web services Strong analytical and troubleshooting skills. Excellent communication and stakeholder management skills. Fluent Mandarin and English (spoken and written) are mandatory. Experience within the retail, footwear, fashion, consumer products or software industry is highly preferred. Candidates currently based anywhere in China who are willing to relocate to Guangzhou are welcome to apply.

Location: Shanghai, China The Company Our client was founded in 2009 and is headquartered in San Francisco. They describe themself as a “Retail Maximization Company,” focused on helping retailers, brands, and CPG companies improve digital revenue, customer experience, operational efficiency, and technology modernization. Their core positioning is highly retail-specialized rather than being a general-purpose IT services company. They emphasize deep expertise in: retail commerce, omnichannel systems, supply chain technology, AI and data platforms, experience design, cloud modernization, digital engineering, performance engineering, eCommerce migration, and upgrades. The Role Our client is seeking an experienced Business Systems Analyst to support Finance, Accounting, and ERP systems for their China operations. This role will act as the primary liaison between local business stakeholders in China and global Finance, Accounting, and Technology teams. The ideal candidate will have strong functional knowledge of finance and accounting processes, along with hands-on experience supporting Kingdee ERP and related business applications. This position reports to the Director of Business Analysis and collaborates closely with Finance, Accounting, IT, Operations, and external implementation partners. Key Responsibilities Serve as the primary Business Systems Analyst for Kingdee ERP and finance applications supporting China operations. Configure, maintain, and optimize ERP solutions across: General Ledger (GL) Accounts Payable (AP) Accounts Receivable (AR) Fixed Assets Cash Management Tax and Financial Reporting Collaborate with Finance stakeholders to gather business requirements and translate them into scalable system solutions. Support China statutory accounting and compliance, including: CAS / PRC GAAP Golden Tax System integration Fapiao processes VAT reporting Lead system implementations, enhancements, testing, deployment, and postgo-live support. Manage integrations between Kingdee ERP and global enterprise systems. Ensure data integrity, quality, and compliance with internal controls. Provide user training, documentation, and ongoing system support. Requirements Required Qualifications Bachelor’s degree in information systems, Accounting, Finance, Business Administration, or related field. 5+ years of experience in Business Systems Analysis, ERP implementation, or Finance Systems support. 3+ years of hands-on experience with Kingdee ERP (Kingdee Cloud, K3 Cloud, or similar). Strong understanding of core finance processes: GL, AP, AR, Fixed Assets, Cash Management, Financial Reporting, Tax. Experience in ERP implementation and system integrations. Fluency in Mandarin and English (written & spoken). Strong analytical, troubleshooting, and stakeholder management skills. Preferred Qualifications Experience working with multinational organizations in China. Knowledge of China Accounting Standards (CAS / PRC GAAP). Hands-on experience with: Golden Tax System Fapiao processes China VAT reporting Experience integrating Kingdee with global ERP platforms such as: Oracle, NetSuite, SAP, Microsoft Dynamics, Workday. Familiarity with APIs, middleware, and BI tools (Power BI, Tableau). Experience supporting SOX, audit, and compliance requirements. Knowledge of Lean, Six Sigma, or Agile methodologies. Industry experience in retail, e-commerce, supply chain, or manufacturing. Experience working in dual-ERP environments (China local ERP + global ERP systems). Key Competencies Bilingual communication and cross-cultural collaboration Business process analysis ERP systems expertise Finance and accounting knowledge Project management Requirements gathering and documentation Change management and user training Data analysis and reporting

Location: Mapbox Germany; Finland; Mapbox UK Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO We build the mission-critical engine that powers real-time navigation for global customers like BMW, Porsche, DoorDash, and Instacart. We process petabytes of geospatial data through a sophisticated blend of high-scale backend services, data pipelines, and AI Agentic workflows to detect, validate, and deliver live road updates - from traffic jams to road closures. The intelligent AI agents we build enhance our core algorithms, ensuring Mapbox maps are as dynamic as the roads themselves and that millions of drivers reach their destinations in the most optimal way possible.   Engineers on this team develop and deliver of every stage of the event detection lifecycle: 1. Intelligent Ingestion and Detection: Building automated agents to gather data and discover closures using proprietary Mapbox signals. 2. Validation and Conflation: Leveraging algorithms to invalidate stale data and merge duplicate reports into a single, high-fidelity source of truth. 3. Strategic Delivery: Designing the systems that expose this data across the entire Mapbox ecosystem. 4. AI Collaboration: Partnering with the MapGPT team https://www.mapbox.com/mapgpt to evolve our Feedback Agent https://www.mapbox.com/feedback-agent, allowing us to refine the map using real-time customer insights.   As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO As an Engineering Manager supporting our Traffic Events Detection organization, you will lead innovative and high-performing multi-disciplinary teams who are building the Events Detection product using a blend of high-scale backend services, data pipelines, and AI Agentic workflows to detect, validate, and deliver live road updates. You will be responsible for driving your team’s day-to-day work, fostering the growth and development of the people on the team, and aligning the team’s work with the company's priorities. Thousands of customers rely on Mapbox services to seamlessly handle billions of requests every day and scale in real-time to global events. You will drive solutions that remain robust, reliable, and innovative in a fast-evolving technological landscape. - Deliver complex, high-impact projects while providing technical expertise and mentorship to your team. - Operate your team’s day-to-day and be hands-on in project management and sprint planning. - Manage operational best practices for on-call and related responsibilities. - Empathize with internal and external customers delivering features that address their needs. - Manage and develop the team through hiring, retaining, mentoring, and continually building the team’s capabilities. - Drive company, product, and team objectives, carrying your team and relevant stakeholders along in the decision-making. - Work with Product and Engineering teams to develop the long-term business strategy driving the team’s work. - Establish, track, and iterate on operational metrics to ensure the team is delivering products that meet or exceed customer expectations. - Determine best engineering practices and promote them within the team and across Mapbox. - Foster a culture of collaboration, innovation, diversity, and data-driven decisions on the team. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Required Education/Certification: Bachelor’s degree in Computer Science, or equivalent practical hands-on engineering experience. - Technical Skills & Tools (Must-Haves): - 5+ years of people management experience: You have managed remote engineering team(s) leading to product execution and business outcome while growing and developing a team of engineering talent. - Hire & Develop: You understand the importance of hiring the best diverse talent and creating a culture where your team members can learn & grow with the organization. - Technical Expertise: You have deep knowledge and experience of building scalable web services and data pipelines in AWS. - Operational Excellence: You drive a culture of quality and continuous improvement within your team and personally embody a passion for monitoring, metrics, triage, resolving customer issues, and iterative improvement. You help foster the end to end development of clearly designed interfaces, documentation, thorough test coverage, and effective code reviews. - Ownership & Execution: You own the vision, lead the strategy, and guide the team to execute towards building the future of your product. - Customer Focus: You care deeply about your customers and their problems, and you work tirelessly to innovate on their behalf. - Strong written and verbal communication: You can talk and write about complex ideas concisely to a wide audience. - Core Competencies & Scope: - Experience leading cross-functional teams of 5+ people EMPLOYMENT REQUIREMENTS - Employment Type: Full-time - Weekly Hours: Full-time - Location/Hybrid Policy: Remote WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Paris; Amsterdam; Warsaw; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Network Development Engineer, Data Center Fabrics, you will help design and build systems for operating large-scale networks within our data centers. You will apply deep networking expertise to leaf-spine architecture, automation, testing, and production troubleshooting across Ethernet switching, IP routing, BGP, EVPN/VXLAN, and VRFs. This is a hands-on role for a networking expert who is also comfortable building production software. Go and Kubernetes experience are helpful but not required; strong engineering fundamentals and network automation experience matter more. WHAT YOU WILL DO - Design and evolve leaf-spine underlays, EVPN/VXLAN overlays, and tenant connectivity for multi-tenant AI infrastructure. - Translate data-center fabric requirements and safety properties into clear APIs, data models, validation, and automation. - Build reliable control-plane software that reconciles desired and observed network state. - Design safe change workflows with validation, dry runs, atomic updates, observability, and failure recovery. - Integrate with data-center switch operating systems and management APIs while maintaining vendor-neutral abstractions where practical. - Participate in the on-call rotation, troubleshoot active data-center network incidents, restore service, and turn root causes into lasting improvements. - Review designs and code, explain networking trade-offs, and help raise network engineering quality across the organization. - Develop lab and production tests and turn operational lessons into better software and architecture. WHAT WE’RE LOOKING FOR - Deep hands-on experience with Ethernet switching, IP routing, BGP-based leaf-spine fabrics, EVPN/VXLAN, and VRF-based multitenancy. - Strong judgment around fabric underlay and overlay design, scale, convergence, isolation, and failure modes. - Experience building or operating production network automation, including desired state, idempotency, concurrency, observability, and recovery. - Strong software-engineering fundamentals in a general-purpose language. You can design, test, debug, and review production systems and are willing to become productive in Go. - Experience with southbound network APIs and structured configuration, such as REST, gNMI/OpenConfig, or NETCONF. - Hands-on experience with major data-center network operating systems, such as Cumulus Linux, Arista EOS, SONiC, Junos, or NX-OS. - Strong diagnostic skills using routing and EVPN state, packet captures, counters, telemetry, and logs. - Clear, pragmatic communication and a collaborative approach to technical leadership. NICE TO HAVE - Experience reading, reviewing, or contributing to Go code. - Familiarity with Kubernetes controllers, operators, CRDs, reconciliation, or Kubebuilder. - Experience with physical or simulated network labs such as containerlab, NVIDIA Air, EVE-NG, GNS3, or similar environments. - Experience with high-performance Ethernet, RoCE, InfiniBand, HPC, or large-scale GPU infrastructure. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Montreal DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are looking for multiple passionate Software Developers to join our team. You will develop critical software that powers the collection, transformation, and delivery of market data used by our trading systems. As a member of our team, you will be surrounded by cutting-edge technology and senior technologists providing you with the best possible environment to succeed How you will make an impact: Building scalable and performant software using software engineering best practices. Facilitating discussions on code implementation, testing, software architecture best practices Collaborating with operations and trading teams to ensure production systems are in optimal condition. Researching the latest technologies to enhance our trading systems. Driving projects and leading new initiatives Actively engaging with others on the development team to resolve challenging design and coding issues Working with complex real-time market data while ensuring accuracy, completeness, and consistency. Partnering with traders to explain technical challenges, trade-offs, and potential solutions, enabling informed decision-making. What you bring to the team: A Bachelor’s or a Master’s degree in Computer Science, Software Engineering or equivalent 2 to 10 years of experience building software systems Solid understanding of software engineering principles and best practices Strong knowledge and experience in Python or C++. Experience in both is an asset. Passion for financial markets and an interest in global events and how they influence market behaviour. Exceptional attention to detail with a strong focus on data quality and correctness. Excellent verbal and written communication skills, with the ability to clearly explain technical concepts and trade-offs to both technical and non-technical stakeholders. Experience with any of these technologies is an asset: Redis, RabbitMQ, GraphQL, Kafka, MongoDB, ELK, Docker, TCP, HTTP, Regex. Experience with relational databases is an asset For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-AA1

Location: Bengaluru, Karnataka, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Senior Software Engineer Location: Bangalore, India · In-office · Hybrid Experience: 6–8 years About the Role We're hiring a Senior Software Engineer to own significant pieces of our product and platform end-to-end. You'll lead the design and delivery of complex systems, raise the engineering bar through reviews and mentorship, and partner across functions to ship reliable software at scale. This is a high-ownership role for an engineer who combines strong distributed-systems depth with sound design judgment and an AI-forward mindset. What You'll Do Own end-to-end delivery of features and services — from design through production operation. Design scalable, reliable distributed systems and drive key technical decisions. Debug and resolve production issues; improve reliability and performance. Raise code quality and design standards through thorough, constructive reviews. Mentor junior engineers and contribute to a strong engineering culture. Collaborate cross-functionally with product, design, and other teams. What We're Looking For 6–8 years of software engineering experience, ideally at scalable product companies. Proven ownership: end-to-end delivery, production debugging, and mentoring more junior engineers. Strong distributed systems and cloud engineering skills (AWS, GCP, or Azure). Solid code quality, testing, and design practices. A track record with measurable scale, reliability improvements, and architecture participation. Strong cross-functional collaboration and clear communication. A degree in Computer Science, IT, or a related engineering field is preferred but not required — we weight work outcomes most heavily. Nice to Have Microservices / platform engineering experience. AI/LLM platform integrations. We are an equal-opportunity employer. We evaluate candidates on demonstrated skills and impact and welcome applicants from all backgrounds. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Argentina Remote Workplace: Remote ABOUT THE TEAM At Mural, we're changing how teams collaborate, think, and make decisions together. The Growth & Engagement team helps customers discover value through intuitive product experiences, rapid experimentation, and emerging AI capabilities that make collaboration more effective. We own key parts of the customer journey - from acquisition and onboarding to activation, engagement, retention, and monetization - and use data, experimentation, and customer insights to continuously improve those experiences. We're a cross-functional team of engineers, product managers, designers, and data partners who move quickly, measure outcomes, and learn from every experiment. We value curiosity, collaboration, and thoughtful technical craftsmanship, building systems that enable rapid iteration while maintaining a high bar for quality, reliability, and scalability.   YOUR MISSION  As a Senior Software Engineer on the Growth & Engagement team, you'll build the products, platforms, and experimentation capabilities that help customers discover value faster and achieve more with our product. You'll partner closely with Product, Design, Data, and other Engineering teams to identify opportunities, validate ideas through experimentation, and deliver experiences that improve customer outcomes and drive sustainable business growth. Beyond shipping features, you'll help shape the technical direction of the team, mentor other engineers, and establish engineering practices that enable us to experiment confidently and move quickly. WHAT YOU'LL DO - Design, build, and maintain customer-facing features that improve acquisition, activation, engagement, retention, and monetization. - Collaborate closely with Product, Design, Data, Marketing, and Customer Success to identify growth opportunities and translate customer feedback, product analytics, and experimentation to guide product decisions. - Design, implement, and analyze experiments using feature flags, A/B testing, and analytics to validate hypotheses and measure customer and business impact. - Build reliable instrumentation and event pipelines that help teams understand customer behavior and make informed product decisions. - Write high-quality, maintainable code while contributing to architecture, technical design, and long-term platform improvements. - Improve the performance, reliability, accessibility, and scalability of critical user journeys. - Mentor teammates through technical leadership, code reviews, design discussions, and knowledge sharing. - Contribute to roadmap planning, technical strategy, and continuous improvement of the team's engineering practices.  WHAT YOU'LL BRING -  5+ years of professional experience as a Software Engineer building and operating production software. - Strong proficiency building modern web applications. Experience with TypeScript, React, Node.js, and MongoDB or similar technologies, with the ability to become productive quickly. - Familiarity with Model Context Protocol (MCP) and the broader AI tooling ecosystem and the ability to quickly learn emerging AI technologies. - Experience leveraging AI-assisted development tools and workflows to improve engineering productivity, code quality, and delivery. - Experience building customer-facing products in close partnership with Product and Design teams. - A product mindset with the ability to balance customer needs, technical tradeoffs, and business goals. - Experience using analytics and data to inform engineering and product decisions. - Strong software engineering fundamentals, including system design, testing, observability, and operational excellence. - Excellent communication and collaboration skills, with the ability to influence technical decisions across cross-functional teams. - A track record of taking ownership of ambiguous problems, driving projects from concept to delivery, and mentoring other engineers. - Experience working on a Growth/Engagement team or in a product engineering role focused on experimentation and customer lifecycle improvements. - Experience working with business metrics such as activation, engagement, retention, conversion, and monetization to inform product and engineering decisions. - Experience designing, implementing, or analyzing product experiments (A/B testing, feature flagging, or similar experimentation frameworks). Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: United States (Remote) Workplace: Remote ROLE SUMMARY Temporal is looking for a Senior Software Engineer to join the Open Source Server team. This team builds and maintains the core Temporal server. Its scope is broad, including Matching, Applications, Foundations, task processing, quotas and throttling, visibility, developer-facing primitives such as standalone activities, schedules, and streaming, and workflow experience improvements such as Continue-As-New, pause, and reset. We do not expect one person to cover all of these areas. We're looking for an engineer who is excited to learn the system, contribute across the codebase, and help improve the reliability, performance, operability, and developer experience of Temporal. This is a hands-on engineering role where you'll collaborate with experienced engineers to design, build, and operate the core of Temporal's distributed systems platform. WHAT YOU'LL DO - Design, implement, and ship features for the Temporal server. - Solve distributed systems challenges across areas such as task matching, scheduling, workflow execution, visibility, quotas, throttling, persistence, developer primitives, and workflow lifecycle features. - Make thoughtful engineering tradeoffs across developer experience, performance, and operability requirements. - Partner with engineers, product managers, cloud teams, and customer-facing teams to build scalable technical solutions. - Improve the reliability and operability of the server through testing, observability, dashboards, alerts, runbooks, and documentation. - Participate in design discussions and code reviews to help maintain a high-quality codebase. - Contribute to improving the developer experience for both open source users and enterprise customers. - Mentor junior engineers and share knowledge with teammates. WHAT YOU'LL BRING - 5+ years of experience building and operating production distributed systems. - Strong fundamentals in distributed systems, concurrency, fault tolerance, scheduling, and performance. - Solid computer science fundamentals in distributed systems concepts including multi-threading and concurrency. - Experience writing concurrent code in production with languages like Go or Java or other applicable languages with skill level as "high end of Intermediate" and/or "Advanced" or "Expert" levels. - Experience building high-scale or performance-sensitive backend services, such as request-serving systems, task queues, scheduling systems, streaming or replication pipelines, rate limiting, sharding, load balancing, workflow engines, or orchestration systems. - Strong debugging, troubleshooting, and operational skills with a focus on reliability and observability. - Experience designing and building backend APIs or platform services. - Ability to work collaboratively across engineering teams and contribute to technical discussions. - Experience with open source software or communities is a plus. - Experience with AWS, Azure, or GCP is a plus. - Experience with technologies such as Elasticsearch, OpenSearch, ClickHouse, Cassandra, PostgreSQL, or MySQL is a plus. - Experience with Kubernetes, CRDs, KEDA, or Argo is a plus. WHAT MAKES YOU A GOOD FIT - You enjoy solving challenging distributed systems problems while keeping the developer experience in mind. - You like learning large codebases and making meaningful technical contributions over time. - You take ownership of your work and collaborate well with teammates. - You enjoy balancing technical depth with practical engineering decisions. - You don't need prior Temporal experience, but you're excited to work on the core of a distributed system used by a large open source community and enterprise customers. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. The Role GiveWell is hiring a Senior Philanthropy Advisor to manage and advise a portfolio of our largest donors. This role will help shape our relationship strategy with donors giving seven- to ten-figure gifts and will have significant influence over how GiveWell’s philanthropy function grows and evolves. You will manage and advise a portfolio of our largest donors, serve as a leader within our philanthropy team, and be a thought partner to our senior leadership team. Why We’re Hiring Now Many of our donors are analytical, quantitative thinkers, and their deep engagement with our research makes our work better. We've built a philanthropy team to match. We take the time to understand what our donors value, we treat their giving as a true partnership, and we invest in learning our own research deeply so we can help donors do the same. We measure our relationships in years, not quarters. We face a historic opportunity to scale giving to high-impact causes and to save and improve lives around the world. To meet this moment, we are engaging a new generation of major philanthropists, while strengthening the partnerships model that has made our existing donor relationships so productive. We believe that deepening our philanthropic partnerships with our current and future major donors is one of the highest-leverage actions GiveWell can take to ensure significantly more funding for some of the world’s most cost-effective programs. What You’ll Do Build long-term, trust-based relationships with major donors that deepen donors’ understanding of GiveWell’s work. Proactively identify the insights, data points, and narratives from GiveWell’s research that are most relevant to major donor decision-making. Drive and lead team-wide initiatives and significant projects to make our work accessible, from learning journey design, playbooks, and systems to donor events and donor communications. Translate GiveWell’s research into original donor-facing content that makes our work accessible to analytically sophisticated, time-poor major donors. Serve as a strategic advisor to GiveWell’s leadership. Drive improvements to our philanthropy culture, systems, and processes to improve how our philanthropy function operates and scales. About You You understand how people translate their values into action. You're comfortable connecting with a wide range of people, from the donor who wants to deeply understand every assumption in our model to the donor who wants a high-trust, low-friction recommendation they can act on quickly, and everyone in between. Your background includes significant experience earning trust with discerning, analytic people, where you are a partner in somebody else's high-stakes decisions. You've experienced navigating this, not by telling them what to do, but by helping them think clearly and get the right information to support what they're trying to accomplish. You know how to help people navigate doubt and complexity. You are comfortable both bringing a clear point of view (for example, by saying, "Here's what I would do") and helping people strengthen their own judgment over time. You are excited by intellectually demanding work. You are ready to engage with complex global health topics, including our cost-effectiveness models, program evaluation, and evidence quality. You are driven to get up to speed and be ready to explain them clearly to audiences who will push back on our thinking. You are excited to engage with hard follow-up questions and people who will expect rigorous answers. While you don't need prior global health experience, you will need to demonstrate you can get up to speed quickly on complex quantitative subject matter and translate it rigorously and credibly. You bring high emotional intelligence, curiosity, and a clear sense of mission to your day-to-day work. You’re a collaborator who connects dots and builds relationships across teams. You bring depth of leadership experience, and you are comfortable supporting strategic decisions and rolling up your sleeves to build and shape our work. You are ready to bring adaptive energy to this work while being comfortable deeply explaining your reasoning and taking time to reach high-quality decisions where it matters. Strong candidates will have: A track record of managing sophisticated, high-stakes relationships—whether with major donors, ultra-high-net-worth clients, foundation officers, board members, or similarly discerning stakeholders in another field entirely. Exceptional relationship management skills, with high emotional intelligence, an advisory mindset, and the ability to hold a large amount of context about a person and synthesize it in real time. Interest in global health and development, and the ability to engage in complex research and ideas even without prior experience in the sector. Excellent communication skills, written and verbal—clear, tailored, and credible messaging for discerning stakeholders, including comfort producing original written content. Leadership skills to partner with senior staff and influence across teams collaboratively. Strong operational expertise: leading cross-team projects, building scalable processes, and translating strategy into action. Strong alignment with GiveWell’s mission and values, including truth-seeking, transparency, humility, and long-term trust-building. Who Tends to do well: People who enjoy building relationships and understanding what motivates the people they work with People who can engage thoughtful, analytical audiences and handle nuanced conversations Fast learners who can pick up complex, unfamiliar subject matter and enjoy translating it verbally and into written content Self-starters who take ownership and work well in a collaborative, evolving team People who are proactive and anticipatory—who reach out before the other person knows they need something People who are comfortable sitting with complexity and helping others navigate uncertainty People who are enthusiastic about GiveWell's mission and values Key Questions What are some of the reasons I might not like this role? You prefer research or analysis over building relationships with people You struggle with initiating challenging or direct conversations You  prefer highly structured environments with clear answers at all times You prefer to share information and let others draw conclusions, rather than offering their own synthesis and point of view What does this interview process entail? We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. We'll share more specific details if we invite you to move forward to any of the following stages, but our current plan is: Screen with our Manager, Talent Acquisition Compensated 4-hour work trial (written) Interviews with our VP, Philanthropy and Senior Manager, Philanthropy Additional work trial (live interview) with our VP, Philanthropy and a Senior Philanthropy Advisor Final Onsite in our Oakland, California headquarters, where you’ll interview with members of our executive leadership team in person (we will cover your travel expenses). References Note that you don't need to submit a cover letter. We rely heavily on your resume and answers to the application questions below when we're making early decisions. We encourage you to spend time responding to the application questions thoroughly and carefully. Details Team: You'll report to our VP of Philanthropy. Compensation : NYC or the San Francisco Bay Area: $247,500 All other U.S. locations: $225,000 Location: This position is eligible to work fully remotely within the US. Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC;. We'll cover relocation expenses for candidates who wish to move to one of these physical office locations. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Benefits : Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year One week all-office closure 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .

Location: Brussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb Workplace: Remote RUST ENGINEER - TRADING SYSTEMS ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. MISSION STATEMENT We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage. As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones. JOB DESCRIPTION - Design, develop, and optimise low-latency, mission-critical trading systems - Own key trading stack components end-to-end — from architecture through to production operation - Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience - Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence - Troubleshoot complex production issues across exchange connectivity, execution, and market data handling - Drive engineering standards through technical leadership, code reviews, and mentoring - Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling - Contribute to functional, component, and production-readiness testing for critical trading components BACKGROUND AND EXPERIENCE TECHNICAL SKILLS - Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage - Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk - Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting - Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling - Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds - Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK) - Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation - Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems SENIORITY & COMPETENCIES - Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise. - Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions. - Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes. - Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions. - Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you. - Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation. - Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team. OUR RECRUITMENT PHILOSOPHY We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A senior engineer and crypto enthusiast who’s driven, collaborative, acts with ownership, raises the bar for others, and delivers solid, scalable outcomes. OUR OFFER - A competitive salary package - Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely - The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Armenia - Remote; Europe; Georgia - Remote; Portugal - Remote; Serbia - Remote; Spain - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You'll help build the intelligence layer that powers decision-making, AI agents, automation, and business operations across Smartcat — on a greenfield cloud data platform, transitioning from legacy on-premise, batch architectures to cloud-native, streaming-first infrastructure. This is a chance to shape how Smartcat scales its data capabilities over the next several years, directly aligned with the company's transformation into an AI-native, agentic platform. MISSION Help transform Smartcat's data platform into an AI-native foundation where business data becomes discoverable, actionable, and consumable by both humans and AI agents — partnering across Data, Product, Engineering, GTM, and AI teams to enable self-service analytics, intelligent automation, and agent-driven decision support. OUTCOMES Evolve Smartcat's data architecture into a scalable, cloud-native, AI-first platform, leading the transition from batch-oriented pipelines to near real-time and streaming systems Improve reliability, observability, governance, and performance across the data stack, establishing engineering standards and best practices Turn business data into AI-ready assets — building data products consumable by AI agents, analytics systems, and business users, with semantic layers and metadata management Use AI to accelerate development, testing, documentation, monitoring, and operational workflows, and design systems that let AI agents query, understand, and act on business data safely Improve business intelligence and data accessibility — making analytics simpler for non-technical stakeholders and enabling self-service without sacrificing governance or quality Raise the engineering bar through mentorship, code reviews, architecture leadership, and knowledge sharing across Data and Analytics Engineering HOW YOU'LL RAMP By Day 30: Get deep on Smartcat's current data architecture, the greenfield cloud platform build, and the transition plan from batch to streaming Meet your partners across Data, Product, Engineering, GTM, and AI teams to understand current pain points and priorities Get hands-on with the core stack (Databricks, dbt, Airflow, Python, SQL) and current BI tooling (e.g., Omni) By Day 60: Contribute to at least one concrete piece of the Next Generation Data Platform build (pipeline, streaming component, or data product) Have identified and started applying at least one AI-powered workflow to accelerate your own engineering work (testing, documentation, debugging) Begin shaping a semantic layer, metadata structure, or data product aimed at AI-agent or business-user consumption By Day 90: Own a defined piece of architecture or data product end-to-end, with measurable improvements in reliability, observability, or time-to-insight Be actively mentoring or raising the engineering bar through code reviews and architecture input Have a documented example of measurable productivity gains from AI adoption in your own workflow WHAT YOU'VE ACCOMPLISHED 6+ years of experience in Data Engineering, Analytics Engineering, or a related field A proven track record designing and operating modern cloud data platforms, ideally in high-growth SaaS environments Experience working effectively with both technical and business stakeholders Demonstrated ability to lead complex projects from design through delivery Strong hands-on experience with Databricks, dbt, Airflow, Python for data engineering, SQL and data modeling, data warehousing architectures, data quality frameworks, data governance, and data orchestration/integration Experience with streaming architectures and event-driven systems, business intelligence platforms, product analytics platforms, and CRM/customer data platforms A demonstrated AI-first mindset — AI-powered development workflows, automation of repetitive engineering tasks, use of AI for debugging/testing/architecture exploration/documentation, and evidence of measurable productivity gains through AI adoption Bonus: experience building AI-native data products, semantic layers, RAG systems, vector databases, knowledge graphs, or enabling AI agents to consume operational business data Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: United States Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About position The Forward Deployed AI Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role . You will design and build the data-generation , labeling , and evaluation pipelines t hat power the next generation of AI models . Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants . Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership. Lead executive conversations using a structured, answer-first (BLUF) approach. Manage escalations and expectations with composure and integrity. Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it. Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation. Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production. Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership Own delivery end to end - timelines, quality, and scalability - and the commercial outcome : Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described. Identify and drive expansion opportunities. About You No one is expected to meet every requirement below. If you bring a strong combination of client-facing communication, AI/LLM expertise, and hands-on engineering experience, we'd love to hear from you. Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure. Professional English (C1+) is essential. Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions. Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions. Solid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus. Exceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies. Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage. Ownership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success. Nice to have Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models). Advanced degree (MSc/PhD) in AI, CS, or a related field. Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients. What we can offer Freelance (B2B) collaboration , with a path into a project team if things go well; Flexible, fully remote schedule ( 40 hours per week ); Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts; Projects with customers that are AI industry leaders and well-known household names; Friendly community. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: Portugal; Albania; Georgia; Greece; Bulgaria; Kosovo; Bosnia and Herzegovina; Armenia; Italy; Spain; Malta; Romania; Ireland; South Africa; Croatia; Serbia; Montenegro Workplace: Remote ABOUT BLOCK LABS Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence. We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong. THE ROLE We build distributed, transactional backend platforms across crypto, fintech, and real money gaming. High volume, multi tenant, real time. Balances, payments, and player facing decisions depend on them, so correctness is not negotiable and mistakes are visible immediately. The work spans several products and follows business priorities, so what you own will change over time. You will build and own distributed, transactional backend services in Go, as an individual contributor. Ownership has a specific meaning here. You receive an outcome and its constraints, not a decomposed backlog. You identify the decisions nobody has made and gather the context to make them. You define scope and sequencing. You make the architectural and implementation decisions. You implement the system rather than delegating it. Others will contribute to it, and you own the conditions that let them do so without degrading it. You ship it, and you remain responsible for how it behaves in production. Agents are the normal means of production here, not an optional aid. That does not reduce the need for engineering judgement, testing, or operational ownership. It increases how much of each one engineer carries. You will collaborate with product, engineering, infrastructure, and QA throughout, and you will need to be good at it, because nobody will be coordinating it on your behalf. WHAT YOU WILL DO • Convert business outcomes and constraints into scoped, sequenced, shippable work. • Design and implement distributed Go services handling high volume transactional workloads, integrating with payments, providers, and internal platforms. • Make the correctness guarantees explicit and hold them. Balances and transactional behaviour have no margin for approximation. • Run the agentic system that produces the work: context, decomposition, execution, verification. • Set the harness and guardrails others work inside: context, tests, and automated checks that let people contribute to your system without it degrading into debt you inherit. • Operate what you ship. Know its failure modes, watch it, and fix it. WHAT WE ARE LOOKING FOR • Deep proficiency in Go on high volume, transactional systems. Years matter less than what you have personally taken to production. • Strong judgement on multi tenancy, event driven architecture, queues, and the failure modes each brings. Cloud native, and serious about reliability, observability, and security. • A repeatable agentic engineering system you built deliberately. It holds context, decomposes ambiguous work, verifies behaviour rather than diffs, and keeps unverified code out of production. The system matters, not the tools. • Evidence of carrying the whole chain yourself, from incomplete objective to a system you shipped and then owned in production. Having worked on every phase is not the same as having carried one. • Judgement under ambiguity. There is rarely a finished specification, but there are objectives, constraints, and people who know things. Make the reversible calls yourself and escalate the rest. NICE TO HAVE • Background in fintech, real money gaming, or other high traffic consumer products where money is at stake. • Experience with rules engines, real time scoring, or decisioning systems. • Prior experience designing APIs for multi tenant or white label products. WHAT THIS ROLE IS NOT • Not a management or tech lead role. There is no team reporting to you and no plan to create one. • Not an architecture or advisory role. You will not set direction for others to implement. • Not a squad role. There is no prioritised backlog and no one assigning you work. • Not a role where you own one layer of somebody else’s implementation, or where someone else owns verification and production readiness on your behalf. • Not a role where agents are an optional productivity aid you reach for occasionally. If what you want is a well defined squad, finished requirements, and shared implementation, this is a role to skip. That is a legitimate way to work and many strong engineers prefer it. It is not this one. What kind of culture can I expect? Mature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you’re one of the smartest minds in your craft and want to build with other experts, you’ll feel at home here.

Location: Boston, MA Workplace: OnSite WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise. As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems. Responsibilities: - Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers. - Improve ML data pipelines, tooling, and validation systems that support robust model performance. - Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency. - Collaborate with researchers and Product teams to align model development with physiological insights and member impact. - Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations). - Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation). - Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review. Qualifications: - Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). - 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems. - Experience working with time series data (wearable, physiological, or high-frequency sensor data). - Strong coding skills in Python with a track record of writing clean, production-quality code. - Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch). - Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP). - Preferred: 2+ years experience applying advanced mathematical and statistical techniques. 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.   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 $150,000-$210,000. 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.   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.

About us At HelpBnk, we build infrastructure for a future where everyone has the agency to follow their dreams. Co-founded by Simon Squibb, we are a high-growth startup under the Dream Inc umbrella, creating a social platform and business-starting tools that empower people to take control of their lives. Our Culture Ownership: If you spot something broken, you're the one who gets to fix it. Openness: Problems get named early, including our own. AI as a tool: We build with agentic AI (Claude Code, Cursor, and others), looking for people who understand where AI helps and where it lies. Interesting problems: The work is genuinely unsolved in places. The Challenge As a Senior Laravel Developer, you will be part of HelpBnk's core. You are responsible for the realization of all business logic and creating APIs that power our native apps. What You’ll Do — Architect scalable Laravel applications following Domain-Driven Design (DDD) principles. — Refactor and rebuild features to ensure architecture supports international expansion. — Implement event-driven architectures, handle OAuth2 flows, and optimize complex MySQL schemas. — Use agentic AI to automate testing, document architecture, and accelerate feature development. Before You Start — 5+ years of heavy Laravel experience (PHP 8.4+, Laravel 11). — Deep understanding of SQL, queue systems, caching, and security patterns. — Extensive experience with testing (PHPUnit) and CI/CD pipelines. — Understanding of REST and Webhooks. Why You Should Apply — Freedom: Work from where you want, when you want, focusing on output, not hours. — Impact: Your work helps people discover their dreams and solve world-scale problems. — Tools: We provide the software you need to perform optimally.

Overview SOFTSWISS is looking for an Engagement Lead to manage the Content & Retention team and drive engagement, retention, and loyalty initiatives across multiple markets. Purpose of the role You will be responsible for developing engagement and retention strategies, optimizing the player journey, and delivering data-driven initiatives that improve player experience, retention, and long-term value. Key responsibilities Lead and develop a high-performing Content & Retention team. Define team priorities, processes, and ways of working. Own website content strategy and ensure quality across all markets. Drive retention initiatives, loyalty programs, and personalized player experiences. Build data-driven strategies to increase engagement, retention, and LTV. Lead segmentation, automation, and trigger-based communication programs. Foster a culture of testing, experimentation, and continuous improvement. Establish clear reporting and KPI tracking frameworks. Manage multiple priorities while maintaining high execution standards. Collaborate closely with Product, Technical Account Management, and Analytics teams to achieve business goals. Required Experience 3–5+ years of experience in retention, CRM, content strategy, or player engagement within iGaming, betting, gaming, or similar industries. 2+ years of leadership experience managing and developing teams. Proven track record of building successful content and retention strategies. Strong understanding of key metrics such as GGR, LTV, ARPU, retention, and churn. Experience with CRM platforms (Customer.io), marketing automation, segmentation, and loyalty programs. Data-driven mindset with hands-on experience in testing and performance optimization. Excellent project management and organizational skills. Strong leadership, communication, and stakeholder management abilities. Deep understanding of player behavior, engagement mechanics, and monetization strategies. Nice to have Russian-level knowledge. Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Location: Abu Dhabi, UAE; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Responsibilities Own exchange active user metrics (MAU/Cumulative Transactors), define and execute user activation growth strategies Lead consumer-facing growth feature planning and iteration, including task systems, check-ins, rewards stores, and trading incentives Plan and operate user campaigns (trading competitions, airdrops, seasonal events), with ability to build campaign platforms or templatized frameworks from 0 to 1 Continuously optimize activation conversion and retention curves through data-driven approaches (funnel analysis, user segmentation, A/B testing) Coordinate cross-functional resources across design, engineering, data, and compliance to drive project delivery Monitor industry trends and competitor activities, identify actionable growth opportunities Requirements 5+ years in internet product/growth roles, with at least 2 years at a crypto exchange or Web3 platform Demonstrated ownership of activation/retention metrics with proven results (DAU/MAU growth, retention improvement, etc.) Strong consumer-facing product design skills, with 0-to-1 experience in task systems, gamification, or viral growth features Proven track record in large-scale campaign planning and execution Experience with licensed/regulated platforms , understanding of KYC tiering, geo-restrictions, and product trade-offs under compliance constraints Highly data-literate, proficient in SQL/BI tools, capable of designing and analyzing A/B experiments Excellent cross-cultural communication skills, comfortable with multi-timezone collaboration Nice to Have Campaign product experience at super apps such as Taobao/Alipay (e.g., Double 11, Five Blessings, check-in events at billion-DAU scale) Experience at top-tier exchanges (Bybit/OKX/Binance) Experience building Referral/Affiliate growth systems Understanding of derivatives ( futures /options) user behavior Multi-region operational experience (SEA, LATAM , Europe ) Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Remote-Friendly, United States 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 Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards Establish and maintain facility support area standards — logistics staging, loading, maintenance access, and operational support spaces — scaled for hyperscale deployments Identify modular and prefabricated construction opportunities that reduce schedule, cost, and design risk across the project pipeline Manage review cycles and coordinate across internal and external stakeholders to resolve design conflicts and keep projects moving on aggressive timelines Travel to project sites globally for design reviews, construction audits, and commissioning milestones (up to 40%) What We're Looking For Required 10+ years delivering mission-critical facility infrastructure, with at least 6 years directly in hyperscale or large-scale data center CSA design Deep technical expertise across civil site development, structural design, and architectural programming for industrial or mission-critical facilities Demonstrated experience as an owner's engineer or lead technical authority — setting standards, approving deliverables, and managing external design teams Proficiency with applicable building codes and standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdictional requirements across multiple geographies Experience with high-density compute environments, including structural and architectural accommodation of direct liquid-cooling systems, overhead busway, and dense rack deployments Track record of driving design standardization and developing repeatable reference designs across a multi-site portfolio Ability to evaluate and red-line structural calculations, civil site plans, and architectural construction documents for accuracy, completeness, and constructability Experience coordinating across MEP disciplines and IT infrastructure teams in a fast-paced, multi-project environment Clear and direct communication with both technical and non-technical audiences; ability to make and defend design decisions with incomplete information Preferred Licensed Professional Engineer (PE) in civil or structural engineering, or licensed architect (AIA / RA) Experience with prefabricated and modular construction strategies for data center applications Familiarity with geotechnical risk assessment and foundation design for large industrial facilities LEED accreditation, Uptime Institute AOS/M&O certification, or equivalent mission-critical credentials International project delivery experience (Europe, Asia-Pacific, or other regions) Experience reviewing design packages in Autodesk Construction Cloud, Revit, or Navisworks 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 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.