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Location: Bangalore Principal UI Engineer Location: Bengaluru, India (Hybrid) About Reltio At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Role Overview As a Principal UI Engineer, you will define and lead the frontend architecture for Reltio's next-generation cloud platform. You'll collaborate with Product Management, UX, Backend Engineering, and Platform teams to deliver scalable, high-performance applications used by Fortune 500 customers worldwide. This role combines hands-on engineering with technical leadership. You'll mentor engineers, establish engineering best practices, influence product direction, and help shape the future of Reltio's user experience. What You'll Do Lead the architecture, design, and development of complex enterprise-scale web applications. Drive frontend technology strategy across multiple product teams. Build reusable UI frameworks, shared component libraries, and design system integrations. Champion modern frontend engineering practices including performance optimization, accessibility, testing, observability, and security. Partner closely with Product Managers and UX Designers to translate complex workflows into intuitive user experiences. Collaborate with backend teams to design scalable APIs and end-to-end solutions. Influence technical decisions through architecture reviews and design discussions. Mentor senior engineers and help establish a culture of engineering excellence. Improve developer productivity through tooling, automation, CI/CD, and frontend platform initiatives. Stay current with emerging frontend technologies and evaluate their adoption where appropriate. Lead technical initiatives spanning multiple engineering teams. What You'll Bring Required Qualifications 12+ years of software engineering experience, with at least 8+ years focused on frontend development. Deep expertise in JavaScript, TypeScript, HTML5, and CSS3. Strong experience with React and modern frontend ecosystems. Proven experience designing large-scale SPA architectures. Strong understanding of state management (Redux, Zustand, Context API, MobX, or similar). Experience with micro-frontend architectures. Expertise in frontend performance optimization and web vitals. Experience building reusable component libraries and design systems. Strong understanding of REST APIs, GraphQL, and frontend-backend integration. Experience with automated testing using Jest, React Testing Library, Cypress, or Playwright. Familiarity with modern build tools including Vite, Webpack, Rollup, or ESBuild. Experience with CI/CD pipelines and cloud-native development environments. Strong debugging and performance profiling skills. Excellent communication and stakeholder management skills. Preferred Qualifications Experience building enterprise SaaS products. Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with Kubernetes and containerized deployments. Experience with Node.js and backend development. Knowledge of security best practices, including OAuth2, JWT, SSO, and secure frontend development. Experience with accessibility (WCAG 2.1 AA) and internationalization. Exposure to AI-assisted developer tools and AI-powered user experiences. Contributions to open-source projects or technical communities. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's enterprise market. You'll own the full sales cycle from prospecting to close, working with C-level executives at major Japanese corporations to help them transform their businesses with Anthropic's AI solutions. Responsibilities: Own and exceed revenue targets by winning new enterprise accounts and expanding existing relationships across Japan Build and execute territory plans, identifying high-value opportunities in key Japanese industries including financial services, healthcare, technology, and manufacturing Lead consultative sales processes with C-suite and senior technical stakeholders, positioning AI as a strategic business transformation driver Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver customized solutions for complex enterprise requirements Identify new use cases and contribute to Japan go-to-market strategy, providing critical feedback to shape product roadmap and regional approach Translate technical AI capabilities into compelling business value propositions tailored to Japanese market needs You may be a good fit if you have: 8+ years of enterprise sales experience in Japan driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Native-level Japanese fluency and business-level English required A track record of managing complex sales cycles and securing strategic deals in the Japanese market by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate Japanese enterprise stakeholder ecosystems, building consensus through relationship-building and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders in Japanese corporate environments Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills in both Japanese and English, with the ability to present confidently and build connections across all customer levels, from individual contributors to C-level executives A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player who thrives in ambiguous, startup-like environments A strategic, analytical approach to assessing Japanese markets combined with creative, tactical execution to capture opportunities in key industries Deep understanding of Japanese business culture, enterprise buying processes, and regulatory landscape A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Strong candidates may have: Experience selling emerging technologies (AI/ML, cloud platforms, or data analytics) to Japanese enterprises Established relationships with senior executives at major Japanese corporations Experience navigating Japanese procurement processes and working with system integrators Understanding of AI/ML concepts and ability to discuss technical architectures What We Offer Competitive base salary and commission structure commensurate with experience Equity participation Comprehensive benefits package Hybrid work model with flexibility Opportunity to shape the future of AI adoption in Japan Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX or New York About the Role Cloudflare is looking for a bright, proactive, and detail-oriented Executive Assistant to support two leaders in our Developer GTM organization. We are looking for a dynamic and dedicated candidate who is comfortable with multi-tasking and prioritization in a fast-paced, product-first environment with close attention to detail, accuracy, and timeliness. Responsibilities Calendar & Conflict Management: Proactively manage complex calendars with a strong understanding of business priorities. Independently resolve scheduling conflicts and anticipate meeting requests and logistical needs before they are explicitly stated. Travel & Logistics: Manage and coordinate complex international and domestic travel, including visa and passport needs, as well as end-to-end logistical arrangements for executives and teams. Executive Support & Business Context: Develop a deeper understanding of the managers' roles, our products, and the broader market and context for Cloudflare. Serve as a trusted gatekeeper who can confidently answer routine questions on behalf of the executives. Expenses Meeting Coordination: Prepare and manage expense reports.. Projects & Process Improvement: Contribute significantly to ad-hoc/special projects. Recognize where operational processes can be improved and actively suggest and implement those process improvements. Meetings & Event Planning: Coordinate and assist with large meetings, external stakeholders, and event planning with precision. Requirements 6+ years experience as an Administrative Assistant, in Ops, or equivalent experience. Scope & Judgment: A seasoned professional with proven experience handling problems of diverse scope and demonstrating excellent judgment in selecting administrative and operational methods. Proactiveness & Autonomy: Strong sense of urgency, proactiveness, and the ability to manage your own time with limited or no supervision. Communication & Networking: Strong written and verbal communication skills; ability to network and build strong relationships with executives and team members. Organizational Skills: Exceptional organizational skills and attention to detail. Mindset: A "no task is too small" attitude combined with the strategic mindset needed to anticipate executive needs. Drive: Experience working in a tech and AI-native, product-led environment. Compensation Compensation may be adjusted depending on work location and level. Estimated Salary for New York:  $114,000 - 157,000 Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Partner Account Manager ANZ you will help manage and execute the partnerships that accelerate Claude adoption, unlock new capabilities and drive outcomes for our joint customers across Australia and New Zealand. You will own a defined set of named partners end to end — a mix of (a) in-country ANZ practices of our global system integrators (e.g. Accenture, Deloitte, Cognizant) and consulting houses (BCG, McKinsey), where you work hand in hand with the GSI alliance owners who hold the global relationships, and (b) regional system integrators, consultancies and AI-native boutiques that ANZ enterprises and the Public Sector actually consume delivery services from. The ANZ partner book is split between you and the Head of Partnerships ANZ & ASEAN; for every partner assigned to you, you own the plan, the enablement path, the co-sell motion with our ANZ sales team and the partner-sourced, partner-influenced and partner-delivered pipeline that results from it. This is a builder role: partner-sourced pipeline in ANZ is still a small fraction of our open pipeline, and there is a first playbook but no established machine. We need someone who has taken partnerships from zero to a repeatable revenue engine in this market before, not someone who has inherited and administered an existing partner book. Key responsibilities Partner development and execution: Run each partner as a structured pursuit: stakeholder map (country lead, AI/data practice lead, alliance lead, key account partners), joint account plan, agreed target accounts and a quarterly cadence. For your assigned GSI country practices: activate the ANZ teams against the global frameworks and translate them into concrete joint accounts. For your assigned regional SIs / boutiques: build the relationship from scratch (selection, onboarding into the Claude Partner Network, enablement, first joint deals). Guide partners in building repeatable Claude offerings (Claude Code / agentic engineering rollouts, agentic use cases, enterprise adoption programs) for the priority ANZ industries: financial services and insurance, public sector, retail, energy and resources, healthcare, telco, media and tech, and digital natives. Drive co-selling with the ANZ AEs, Applied AI and Technical Success teams: introduce partners into the right accounts, bring partner-sourced opportunities to sales, and make sure every partner-attached deal is tagged correctly in Salesforce. Performance and KPI ownership: Own and drive the KPIs for your portfolio: Partner delivered use-cases, partner-sourced pipeline, partner-influenced pipeline and revenue, consultants enabled and certified, partners progressing through CPN tiers, joint proposals submitted. Establish clear success metrics with each partner and drive regular business reviews against targets Report on partnership health, progress, and commercial outcomes with data-driven insights Every deal that runs through your partners must be set up for customer success and expansion: agree success criteria for joint accounts, make sure the partner delivers implementation and adoption support, and feed what you learn back into our partner program and the ANZ sales team. Market development and brand building Represent Anthropic in the ANZ partner ecosystem — partner events, joint customer events, and partner-led marketing. Adapt the global partner playbook to ANZ buying behaviour (a concentrated enterprise market of banks, miners, retailers and telcos, federal and state government panels, long procurement cycles, and a preference for local delivery partners) and decide deliberately what not to copy. Navigate the regulatory and sovereignty topics that come up in almost every ANZ deal (the Australian and NZ Privacy Acts, APRA CPS 230 and CPS 234, IRAP and government security requirements, critical infrastructure rules, data residency, and regulated industries such as banking, insurance and health) together with the partner and our internal experts. Build differentiated joint value propositions with partners so that Claude is the default recommendation of the ANZ consulting ecosystem. You may be a good fit if you have: Builder mentality — comfortable starting from a small base and turning it into a scaled partner business; you enjoy doing the work yourself. 7+ years of partner / alliances / channel experience with system integrators and consultancies in ANZ, ideally at a cloud, data or AI platform company. Existing relationships in the ANZ practices of the large SIs and/or with the regional consultancies and boutiques — you know who runs the AI and data practices in Australia and New Zealand. Data-driven, KPI-oriented and comfortable being measured on partner-sourced pipeline; a track record of driving incremental revenue through partners in ANZ. History of protecting the customer experience and the brand through partners — you say no to partners that cannot deliver. Competitive drive — obsessed with winning and creating differentiation Collaborative — you work as an extension of the ANZ sales team and with Applied AI, Technical Success, partner marketing and the global GSI alliance owners. Strong executive presence; able to run partner executive conversations and enablement sessions. Based in Australia, ideally Sydney; Melbourne or Brisbane are feasible with regular time in Sydney. Willing to travel regularly within Australia and New Zealand, and occasionally to Europe and USA. Passion for AI and alignment with Anthropic's mission of beneficial AI development Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Many of the people who could gain the most from Claude are the least able to buy it the usual way. A teacher often pays for tools out of pocket. A small nonprofit has no procurement team. A university lab that wants to use Claude has to go through funding, an IT office, and a purchasing department at once. Beneficial Deployments works to reach them, through programs like Claude for Teachers and Claude for Nonprofits and through our work with researchers. What stands between those people and Claude is rarely the model. It's proving they qualify, getting the right price, buying in a way their institution allows, and landing in the right organization with the right permissions. Those steps run through identity, billing, provisioning, and fraud systems that were built for commercial customers. Our Access team makes them work for everyone else. We're looking for engineers who find it deeply satisfying to remove the one thing stopping thousands of teachers or scientists from getting started. You'll work in other teams' codebases as often as our own, and much of the job is earning the trust of the engineers, accountants, and safety reviewers who own those systems. This role's focus is access. Experience with billing or identity is a big plus. What matters most is that you finish hard things that cross team lines, get the details right when money and trust are involved, and care about who is on the other end. Core Responsibilities: Own programs like Claude for Teachers or Claude for Nonprofits from design through launch, operation, and support Support the verification lifecycle: how educators, nonprofits, and research labs prove eligibility, get reviewed at scale, renew, and are removed fairly when they no longer qualify Build pricing, billing, and provisioning that understands programs, including discounts, usage caps, credits, tax exemption, and self-serve purchase, so the next program is configuration rather than a project Build safe paths for organizations to move between their available plans and manage their teams, without losing data, seats, or history Work directly in partner teams' systems, such as billing, identity, and Safeguards Design for trust, with controls and audit trails that stand up to financial audit and student-privacy requirements Turn manual review, one-off fixes, and hand-run testing into tools that support, sales, and finance can use themselves Share on-call for program issues, and use what you see there to decide what to build next You might be a good fit if you: Have 6+ years of experience building software, with strong backend or full-stack skills and solid grounding in data modeling, APIs, and databases Have owned systems where mistakes are expensive, such as billing, payments, identity, entitlements, provisioning, or eligibility Have a track record of finishing work that depended on several teams, without formal authority over any of them Are comfortable in a large codebase you don't own, and learn the rules its owners care about Sweat correctness and edge cases, and can say clearly what you tested and what you didn't Enjoy unblocking people and closing things out, and leave the underlying system better each time Prioritize well when demand is larger than capacity, including saying no and explaining why Communicate clearly across engineering, finance, sales, and support, and care about the societal impacts of your work Strong candidates may also: Experience with subscription or usage-based billing, quote-to-cash, tax, or revenue systems, such as Stripe, Metronome, or Salesforce CPQ, or with building under SOX controls Experience with verification, KYC, fraud, or trust and safety systems Experience with enterprise identity and administration, such as SSO, SCIM, or large account and data migrations Experience building for schools, nonprofits, research institutions, healthcare, or government, or working with FERPA or similar privacy rules Experience launching in new countries, including currency, tax, language, and local eligibility Experience building products with large language models, or using coding agents heavily in your own engineering work Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude Design lets anyone collaborate with Claude to create polished visual work: interactive prototypes, product mockups, slides, and animations. We're making Claude the best visual storyteller there is, lowering the floor so anyone can bring an idea to life, and raising the ceiling on what the most skilled creators can make. We work on Artifacts in Claude, and so far we've shipped new kinds of artifacts like Claude Design, Slides, Whiteboard , and Motion, and we are exploring new bets. We're looking for Software Engineers to help build and shape Claude Design and the creative capabilities of Claude. We are exploring the frontier of how Claude collaborates with people visually, and how Claude can empower better human to human collaboration as well. You'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, partnering directly with researchers and users, and helping to generate the crucial insights that shape where the product goes next. You'll join a small, fast-moving team with high autonomy. If you're a strong design engineer who loves building visual products and likes to sweat the details, we'd love to hear from you. Key responsibilities Build and ship user-facing features across our products, and help decide which creative spaces we explore next Set technical direction for these products, including editor and canvas architecture, real-time collaboration, and rich import and export Own the quality bar for how these products look and feel, treating latency, responsiveness, and reliability as first-class concerns and raising user experience and design considerations early Partner with researchers to rapidly prototype experiences around vision and generation capabilities, and help improve the quality of what Claude generates Spend time with users and dig into how people actually use what you ship, then turn what you learn into what we build next Build the shared foundations that let us launch new creative tools quickly and make them work well together Minimum qualifications Strong design sensibility and a high bar for craft, including attention to interaction details, motion, and polish Ability to thrive in ambiguity and be energized by uncertainty High agency, good judgment about what matters, and a bias toward shipping A deeply user-centric approach: you validate ideas with actual users before over-investing and talk about problems before solutions Strong opinions held loosely: you advocate forcefully for ideas but change your mind based on evidence Care for Anthropic's mission and the societal impacts of your work Preferred qualifications Extensive experience working with or building visual collaboration and creative tools Experience with UI and UX for AI-powered applications, and fluency collaborating closely with designers Background conducting user research, interviews, and usability testing Experience building and shipping products from 0 to 1 Experience building product platforms, primitives, or shared foundations that other products and teams build on top of Performance optimization experience, such as profiling, improving rendering, and tracing end-to-end latency The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New Zealand Workplace: Remote ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE We’re changing the way the world farms - and with that comes a responsibility to the producers worldwide who trust us with their animals. Halter collars aren’t serviced, aren’t repairable and need to last 6-10 years, anywhere across the globe. We can’t wait a decade to find out whether a design will survive - so we have to know before it ships. That’s the job of our Reliability team. As a Reliability Engineer, you’ll be the person who turns “it needs to last” into evidence. You’ll own reliability for products and subsystems through development: assessing risk early, designing accelerated tests grounded in physics of failure, building the models that link hours in a chamber to years on a cow, and making a clear, evidence-backed call on whether a design is ready. You’ll close the loop with the field, comparing what fails out there with what our testing predicted, and changing our tests where they missed. WHAT YOU’LL DO - Own the reliability plan for a product or major subsystem through development - turning reliability goals into measurable requirements, test plans and acceptance criteria - Lead risk assessments, including failure mode and effects analysis and fault tree analysis, and review designs for robustness alongside mechanical, electrical and firmware engineers - Design and run accelerated tests, including highly accelerated life testing and accelerated life testing, built from first principles and physics of failure, with clear learning goals and decision criteria - Build reliability and acceleration models that link test time to field life, and write scripts and tools to automate repeated data analysis - Correlate field failures with test results - show where our testing caught a failure mode, flag where it didn’t, and develop new test methods to replicate the field stresses we’re missing - Write reliability reports and sign-off recommendations that others can audit, with residual risk and the evidence behind it made clear - Assess the reliability impact of design, component, production and supplier changes, and work with suppliers on component qualification - Improve our lab capability - evaluating and introducing new test equipment, fixtures and methods, and scoping and reviewing work from external labs - Mentor and support junior engineers, reviewing their test setups and data and explaining the reasoning behind our methods This is a hands-on, first-principles role. We're looking for someone with real experience in reliability or hardware test engineering who wants to go deep on the craft - and who will hold the line on an unwelcome conclusion when the evidence supports it. We’re open on level and will work out the right fit through the interview process, from an experienced individual contributor through to someone ready to set technical direction for the team. WHAT YOU’LL BRING - Several years of experience in reliability, test or hardware engineering on electronic or electromechanical products - a degree in electrical, mechanical, mechatronics or materials engineering, or similar, is preferred - Hands-on experience designing and running reliability tests, such as accelerated life testing, highly accelerated life testing, or environmental and mechanical stress testing - A solid understanding of how electronic products fail - for example solder joint fatigue, corrosion, moisture ingress, battery degradation and connector wear - and the physics that drives them - Confidence with reliability statistics and modelling, such as life data analysis, acceleration models, confidence levels and sample sizing - A first-principles mindset - you want to understand why a test represents the field, not just that it follows a standard - Clear, honest communication grounded in evidence. You can explain risk and uncertainty to people outside your discipline, and you’ll hold your ground on an unwelcome conclusion when the data backs it - Strong sense of ownership and a bias for action - you see what needs doing and get on with it without waiting to be asked - A tenacious curiosity to figure things out, and the process discipline to do it properly every time - Low ego, highly collaborative and willing to play for the front of the Jersey. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits. As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team will drive. Within Security GRC's technical controls assurance function, you will be a hands-on senior contributor on what the IT general controls must achieve to support SOX 404 compliance. You will work as a peer to Internal Audit's IT SOX team: Internal Audit tests independently, and you define the control requirements, monitor that controls operate, and make sure evidence is audit-ready before Internal Audit and our external auditors test it. You will pair with Engineering, Security, IT, and Finance as they design and implement against those requirements, and validate that what ships actually meets the bar. You will also work with GRC engineering to automate evidence collection and continuous monitoring, starting with ITGCs and extending into other areas of security and compliance. This role reports to the Head of Security Controls Assurance and is well suited to someone who wants to stay close to the work and change how a frontier AI company builds its compliance infrastructure. Key responsibilities Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system. Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide before go-live, and assess SDLC controls for new system implementations and changes so controls are not retrofitted after the fact. Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and keep a clear view of which changes alter the SOX scope, key control population, or evidence requirements. Perform second-line monitoring and readiness testing. Test key ITGCs and IT automated controls (ITACs) ahead of Internal Audit and the external auditors, including walkthrough preparation and validation that populations are complete and accurate, and support the move from manual to automated control reliance. Build continuous monitoring and evidence readiness with GRC engineering. Stand up automated evidence collection and monitoring for ITGCs, map controls to the common controls framework, and materially raise automated evidence coverage while cutting audit prep time. Run system and process risk assessments. Identify control gaps in in-scope systems and processes, and recommend remediation that engineering owners can act on. Drive control deficiency remediation with cross-functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing. Support the external audit with Finance and Internal Audit. Prepare walkthroughs, evidence requests, and testing schedules on management's side, and keep the line clear between your monitoring and Internal Audit's independent testing. Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, assess their impact on control design, evidence requirements, and engineering effort before commitments are made. Maintain alignment with the broader compliance portfolio. Support the controls and evidence behind SEC cybersecurity disclosure requirements. You may be a good fit if you Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts. Have been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies. Have hands-on IT audit or IT SOX experience designing, testing, and documenting controls across access management, change management, and operations. Have hands-on engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits. Have deep familiarity with developer platforms, release engineering, cloud infrastructure, or ERP/financial systems control domains. Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors, and can work independently on complex workstreams while keeping senior stakeholders informed. Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet. Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on. Default to getting the requirement designed into the system rather than papering over the gap with procedure. Strong candidates may have A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order. 12+ years of hands-on IT audit and SOX compliance experience. Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit. Experience at a pre-IPO or newly public technology company. Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines. Defined or assessed controls for AI/ML systems or agents acting in production environments. Stood up continuous controls monitoring or automated evidence programs. Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available location: Singapore Cloudflare is one of the most dynamic and innovative companies providing services on the Internet. Regulation of the Internet is exploding -- across a number of subject areas and jurisdictions -- at a rate previously unseen in the history of the Internet. We’re looking for a new team member who can help foster and promote our corporate philosophy and approach, in which the security and privacy of our customers are paramount. We are looking for an exceptionally talented and energetic person to join our Public Policy team in Singapore, with a strong background in India policy. You will work on some of the most complicated and rapidly evolving policy issues in the world, such as content moderation, user privacy, and intermediary liability, and you’ll help us develop and communicate real-world solutions to addressing these challenges. You will also build and run programs that further Cloudflare’s reputation and standing in the region by partnering with governments, trade bodies, and civil society organisations. This person has a deep understanding of technology as well as regulatory environments. The ideal candidate can seamlessly go from a technical conversation with engineers to a high-level discussion with regulators and policymakers regarding where Cloudflare fits in the Internet stack. This person should be an expert at presenting technical topics at a level any audience will be able to understand. This role has non-standard working hours. Responsibilities Engage with policymakers, regulators, trade associations, industry partners, civil society groups and others in India and across the APJC region, to educate stakeholders on Cloudflare’s trust & safety processes and policy positions. Lead programs and advocacy campaigns that showcase our policy principles  to demonstrate what a better Internet looks like in practice. Develop talking points, policy narratives and presentation materials for use at external events and meetings and for other communication purposes (company blog, position papers, etc.). Coordinate with cross-functional teams to address government and law enforcement requests, as appropriate. Provide timely updates to colleagues from the Cloudflare Public Policy, Legal, Trust & Safety Teams and other internal stakeholders. Minimum Qualification Bachelor’s degree or preferably master's degree in public policy, law, economics 8+ years of related experience handling law enforcement matters at a large technology company and experience handling public policy issues. Strong understanding of the Indian political, regulatory and legal system and protocols, particularly as they relate to digital services. Experience in designing, running, and managing stakeholder, community, or partnership programs and events (for example, workshops, hackathons, or training programs) Ability and willingness to work off hours, including weekends and holidays, to support emergency matters and interact with globally-based company employees Right to work in Singapore, or eligibility and willingness to relocate to Singapore Ability to analyze technical data and present to a less technical audience An ambitious mindset that enables you to successfully work independently with little guidance, but also to use good judgment and escalate / call out issues when needed. A sense of humor. Preferred Qualification Knowledge of Cloudflare products and the broader technology industry, including security, networking, Zero Trust, and AI services. Experience in reviewing, processing, and tracking legal documents, particularly in India (e.g., civil and criminal subpoenas, court orders, and search warrants, and legal notices under Indian law) Willingness to travel to India and elsewhere in the region. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. At Halter, we're on a mission to enable farmers and graziers to run the most productive and sustainable operations in the world. Our customers use Halter to break free from the time-intensive constraints of conventional farming. Imagine 500 cattle standing up and walking calmly to their next break. No quad bikes, no dogs, no fences, just a herd moving at its own pace. People say it looks like magic. Underneath it is a fleet of tens of 1 million (and growing rapidly) collars, each one a small physical system balancing power, radios, sensors and firmware, all operating on a live animal, in the real world, at scale. ABOUT THE ROLE We're looking for a Device Systems Engineer to help guide the development of our devices to extract the absolute best performance for our customers. This is a role for someone who wants to build a genuinely deep understanding of the product in the wild: where power gets spent, where the physical world doesn't match the assumptions in the design, and where there's real headroom to do better. You'll spend your time in the data, but the point isn't the data itself. It's the insight it gives you into a physical system, and the improvements you can drive because of it. This role sits at the intersection of firmware, hardware, comms and data. You'll need to be equally comfortable wrangling a massive, noisy, real-world dataset and reasoning from first principles about what a sensor or a radio can and can't actually do. And critically, you won't just hand off a finding. You'll see it through: forming the hypothesis, proving it in data, working out what to change, and following it into production. Our team out-thinks, out-works and out-cares. We're committed to delivering real change in the world. This isn't easy, and honestly, we love that it's hard. WHAT YOU'LL BE DOING - Analyse collar performance at fleet scale: power consumption, battery life, GPS and sensor behaviour, across tens of millions of devices operating in wildly different real-world conditions. - Build a deep, ground-truth understanding of how the product is actually used on farm, and how that differs from how we assumed it would be used when we designed it. - Wrangle large, messy, real-world datasets (fleet telemetry, logs, field data) to find the signal in the noise, and know the difference between a genuine effect and a data quality artefact. - Reason from first principles about the physical limitations of sensors, radios and batteries, so you can tell when a performance gap is a physics problem, a firmware problem, or a usage pattern problem. - Bring your ground-truth understanding of real-world device performance into the scoping and design of new products and hardware revisions. Your view of what actually happens in the field, not just what happens on the bench, will be critical to the whole team arriving at the best possible product. - Communicate findings clearly to firmware, hardware and product teams, translating deep technical analysis into something people can actually act on and prioritise. - See improvements through from insight to production: working with engineering teams to implement, validate and confirm the change actually delivered what the data said it would. WHAT YOU'LL BRING - Deep curiosity about how things actually work, and the patience to dig until you genuinely understand it. - Genuine first-principles thinking. You default to reasoning about a system from how it actually works physically, rather than pattern-matching to what usually works. - A bias to ownership and follow-through. You're not satisfied with an interesting finding; you want to see it become a real improvement in the fleet. - An engineering science, physics, or similarly quantitative technical background, with a track record of applying it to real, messy, physical-world problems. - Strong data analysis skills; comfortable working with large real-world datasets in Python or similar, including cleaning, filtering and validating noisy data before trusting any conclusion drawn from it. - Strong communication skills, able to explain technical findings clearly to engineers across disciplines and get people aligned on what to do about it. BONUS POINTS FOR - Genuine curiosity about farming, animal welfare, or hardware that has to survive outdoors, unattended, on a live animal. We can teach the domain, but the curiosity has to be there already. - Experience in statistics, or applied maths. - Experience working on optimisation problems, not just analysing from the outside. Halter is committed to promoting a diverse and inclusive workplace, a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented candidates tend to only apply when they meet every single one. If you think you've got what it takes but don't tick every box here, get in touch anyway. We'd love to chat and see if you'll be an epic fit. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Sweden; Finland; Norway; Denmark About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: Full-time Engagement: Independent Contractor Languages: Fluent Swedish & English About the Company Our client is a high-growth sales acceleration partner specializing in outsourced sales development and lead generation for complex B2B markets. With over a decade of expertise, the team supports ambitious brands across the UK, Europe, and North America by managing high-value sales cycles in sectors such as FinTech, HealthTech, and Manufacturing. They combine a consultative, question-based methodology with a modern tech stack and AI-driven insights to transform lead flow into tangible revenue. Job Summary Are you a multilingual sales professional looking to build a career within a globally recognized sales acceleration firm? This team has spent the last years perfecting the art of outsourced sales, providing high-growth companies with the strategy and execution they need to scale. We are seeking a determined, coachable SDR to act as the frontline for our clients, breaking into new markets across Europe and driving meaningful business opportunities. If you thrive in a structured, high-performance environment and want to be mentored by the best in the business, this is the role for you. Key Responsibilities Execute high-volume outbound prospecting, averaging 50 calls per day to engage key decision-makers. Manage the full top-of-funnel sales cycle, from initial research and outreach to qualifying interest. Consistently achieve a target of 10 qualified outbound opportunities per month. Utilize Salesforce to maintain meticulous records of prospect interactions and pipeline health. Collaborating with internal teams to refine messaging based on market feedback and cultural nuances. Requirements Professional fluency in English AND one of the following languages: Swedish, Polish, or Czech. Proven experience in a Sales Development Representative (SDR) or high-volume outbound role. Ability to work UK business hours (9:00 AM – 5:00 PM GMT) regardless of your physical location. Exceptional communication skills with the ability to build rapport quickly over the phone. A curious and coachable mindset, with a desire to master proven sales methodologies. Self-motivated and determined to hit and exceed performance KPIs. Nice-to-Haves Prior experience working within an outsourced sales or agency environment. Advanced proficiency in Salesforce or similar CRM platforms. Experience selling technology or professional services. Benefits 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Poland; Ukraine; Slovakia; Hungary; Belarus About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Role Type: Full-time Engagement: Independent Contractor Languages: Fluent Polish & English About the Company Our client is a specialist B2B sales acceleration partner that helps ambitious global brands navigate complex, high-value sales cycles. With over a decade of expertise, the team provides outsourced sales development and lead conversion services, acting as a high-performance extension for mid-market and enterprise organizations across sectors like FinTech, HealthTech, and Manufacturing. They leverage a proven consultative methodology and a sophisticated tech stack to transform stagnant pipelines into sustainable revenue growth. Operating across the UK, Europe, and North America, this established firm combines the energy of a startup with enterprise-level maturity. The culture is built on continuous development, utilizing advanced AI role-play tools and data-driven insights to empower its people. Candidates joining this team will work in a fast-paced, performance-oriented environment focused on delivering measurable ROI for clients through innovative outbound strategies and account-based targeting. Job Summary Are you a multilingual sales professional looking to accelerate your career within a globally recognized sales powerhouse? This company has spent 15 years mastering the art of outsourced sales, providing high-growth organizations with the methodology and talent they need to scale. We are looking for high-energy Sales Development Representatives (SDRs) fluent in English plus Swedish, Polish, or Czech to join a well-established team. This is a role where your linguistic skills meet world-class sales training, offering you a direct path into leadership and management. Key Responsibilities Execute a high-volume outbound strategy, maintaining an average of 50 calls per day to key decision-makers. Identify, qualify, and book at least 10 high-quality outbound opportunities per month. Utilize Salesforce to manage your pipeline, track activity, and ensure data integrity. Collaborate with internal teams to refine messaging based on market feedback and cultural nuances. Actively participate in coaching sessions to master the company’s proven sales methodologies. Requirements Professional fluency in English AND at least one of the following languages: Swedish, Polish, or Czech. Previous experience in a Sales Development or high-volume outbound role. Ability to work UK business hours (9:00 AM – 5:00 PM GMT), regardless of your physical location. Exceptional communication skills with the ability to build rapport quickly over the phone. A mindset defined by coachability, curiosity, and sheer determination to hit targets. Benefits 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: Singapore; Malaysia; Philippines; Indonesia; Thailand; Vietnam About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking experienced Hardware Engineers with strong programming skills and hands-on experience using AI Coding Agents to contribute to specialized AI training projects focused on complex, real-world engineering challenges. This opportunity is intended for engineers who combine deep technical knowledge with practical implementation experience. You will design, solve, and evaluate engineering problems that require first-principles reasoning, quantitative analysis, simulation, coding, and reproducible technical solutions. We particularly value engineers who have personally owned substantial technical work, such as bringing hardware systems into production, validating engineering models against physical test data, developing verification frameworks, or diagnosing complex hardware failures. Practical coding ability and hands-on experience with AI Coding Agents are essential. We are looking for engineers who can independently write and execute code, use AI-assisted coding tools effectively, and validate their technical outputs. Academic qualifications alone are not sufficient without demonstrable engineering and programming capabilities. Previous experience in AI model training is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, SEA, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on real-world hardware engineering problems. AI CODING AGENT EXPERIENCE: Mandatory. Key Responsibilities Create technically rigorous, self-contained hardware engineering problems based on realistic industry and research scenarios. Develop detailed reference solutions using engineering calculations, simulations, scripts, experimental reasoning, and other appropriate methods. Design engineering tasks that require quantitative reasoning, technical judgment, and practical problem-solving. Use programming and engineering software to model, simulate, analyze, and validate hardware systems. Develop Python scripts and other computational tools to automate engineering calculations and validation workflows. Evaluate engineering solutions against physical principles, technical specifications, and real-world operating constraints. Validate engineering models and simulation results against experimental or physical test data. Develop and apply verification and testing methodologies. Investigate complex hardware failures, identify root causes, and recommend corrective actions. Use AI Coding Agents to support engineering workflows, code development, debugging, and technical problem-solving. Document methodologies, assumptions, calculations, and reference solutions to ensure results are reproducible and independently verifiable. Requirements Bachelor's, Master's, or PhD degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Aerospace Engineering, Systems Engineering, Applied Physics, or a closely related discipline. Significant professional or research experience in hardware engineering, product development, systems integration, testing, validation, reliability, or failure analysis. Demonstrated ownership of substantial engineering work, such as: Taking a hardware product or subsystem into production. Validating engineering models against physical testing. Developing engineering test or verification systems. Diagnosing and resolving complex hardware failures. Mandatory hands-on experience working with AI Coding Agents. Strong practical programming skills and the ability to independently write, understand, debug, and execute code. Experience using programming languages or engineering tools relevant to hardware development and analysis. Ability to connect first-principles engineering knowledge with practical design and operational constraints. Strong quantitative, analytical, and technical reasoning skills. Ability to produce clear, technically accurate, and independently verifiable engineering solutions. Strong written and spoken English communication skills.

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Malaysia; Singapore; Philippines; Indonesia; Vietnam; Thailand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.