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Location: Budapest, Hungary OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are seeking an experienced Senior Project Manager with a background in Business Analysis and/or Product Management to lead strategic business initiatives. This role is responsible for the end-to-end execution of projects focused on analyzing, planning, implementing, and automating business processes. The ideal candidate combines project management expertise with analytical skills to drive business process improvements at both departmental and company levels. Key Responsibilities Lead and coordinate multiple projects simultaneously across different departments, ensuring timely delivery within scope and budget Own end-to-end project planning, including solution design, budgeting, resource allocation, and risk management Conduct in-depth analysis of workflows and business processes to identify optimization opportunities and translate them into actionable project requirements Drive business process improvements through research, process modeling, data analysis, and gap analysis Communicate effectively with stakeholders throughout the project lifecycle - gathering requirements, reporting progress, presenting results, and managing expectations Lead change management efforts, ensuring smooth transitions and stakeholder engagement during implementation Coordinate with cross-functional teams to ensure the successful integration of business systems, processes, and technology solutions Qualifications 4+ years of proven project management experience Proven experience as a Business Analyst or Product Manager Proven experience managing internal products, projects, and processes Proven experience in managing digital and operational business process improvement projects Hands-on experience in business process analysis and workflow optimization with a proven track record of implementing improvements directly into products or operational processes Hands-on experience using and implementing AI tools to automate workflows, validate hypotheses, build prototypes, and optimize products and processes Strong AI prompting skill Experience managing cross-functional teams and collaborating with business and technical stakeholders Fluency in English (Upper-Intermediate or Advanced level) Experience implementing AI into products and/or business processes with measurable results is a plus Experience in B2B marketing operations, lead generation, demand generation, or marketing automation is a plus Proficiency in no-code/low-code tools (n8n, Zapier, Make, Bubble, Bolt, etc.) is a plus What We Offer Opportunity to shape the backbone systems of a modern, data-driven digital company. Autonomy to lead meaningful projects from ideation to impact. A collaborative, innovation-first environment that values initiative and experimentation. Reduced working hours on Fridays during the summer. Schedule: Monday–Friday, 1:00/2:00 PM – 9:00/10:00 PM EET. Why Join Us You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

Location: Helsinki, Finland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are seeking an experienced Senior Project Manager with a background in Business Analysis and/or Product Management to lead strategic business initiatives. This role is responsible for the end-to-end execution of projects focused on analyzing, planning, implementing, and automating business processes. The ideal candidate combines project management expertise with analytical skills to drive business process improvements at both departmental and company levels. Key Responsibilities Lead and coordinate multiple projects simultaneously across different departments, ensuring timely delivery within scope and budget Own end-to-end project planning, including solution design, budgeting, resource allocation, and risk management Conduct in-depth analysis of workflows and business processes to identify optimization opportunities and translate them into actionable project requirements Drive business process improvements through research, process modeling, data analysis, and gap analysis Communicate effectively with stakeholders throughout the project lifecycle - gathering requirements, reporting progress, presenting results, and managing expectations Lead change management efforts, ensuring smooth transitions and stakeholder engagement during implementation Coordinate with cross-functional teams to ensure the successful integration of business systems, processes, and technology solutions Qualifications 4+ years of proven project management experience Proven experience as a Business Analyst or Product Manager Proven experience managing internal products, projects, and processes Proven experience in managing digital and operational business process improvement projects Hands-on experience in business process analysis and workflow optimization with a proven track record of implementing improvements directly into products or operational processes Hands-on experience using and implementing AI tools to automate workflows, validate hypotheses, build prototypes, and optimize products and processes Strong AI prompting skill Experience managing cross-functional teams and collaborating with business and technical stakeholders Fluency in English (Upper-Intermediate or Advanced level) Experience implementing AI into products and/or business processes with measurable results is a plus Experience in B2B marketing operations, lead generation, demand generation, or marketing automation is a plus Proficiency in no-code/low-code tools (n8n, Zapier, Make, Bubble, Bolt, etc.) is a plus What We Offer Opportunity to shape the backbone systems of a modern, data-driven digital company. Autonomy to lead meaningful projects from ideation to impact. A collaborative, innovation-first environment that values initiative and experimentation. Reduced working hours on Fridays during the summer. Schedule: Monday–Friday, 1:00/2:00 PM – 9:00/10:00 PM EET. Why Join Us You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are seeking an experienced Senior Project Manager with a background in Business Analysis and/or Product Management to lead complex cross-functional initiatives focused on internal systems, operational improvements, and business process transformation. The role is responsible for turning broad business objectives into structured project plans and driving execution through implementation, change management, and measurable results. Key Responsibilities Lead and coordinate multiple projects simultaneously across different departments, ensuring timely delivery within scope and budget Own end-to-end project planning, including solution design, budgeting, resource allocation, and risk management Conduct in-depth analysis of workflows and business processes, identify optimization opportunities, challenge existing assumptions when necessary, and translate findings into actionable initiatives and project requirements Lead business process improvement initiatives from problem clarification and project definition through implementation, adoption, and validation of business outcomes Communicate effectively with stakeholders throughout the project lifecycle - gathering requirements, reporting progress, presenting results, and managing expectations Lead implementation planning, operational readiness, stakeholder communication, training, transition, and post-launch follow-up to ensure that delivered changes are successfully integrated into day-to-day operations Coordinate with cross-functional teams to ensure the successful integration of business systems, processes, and technology solutions Qualifications 4+ years of proven project management experience Proven experience as a Business Analyst or Product Manager Proven experience managing internal products, projects, and processes is a must Proven experience in managing digital and operational business process improvement projects Hands-on experience in business process analysis and workflow optimization with a proven track record of implementing improvements directly into products or operational processes Practical experience using AI and automation tools to support project delivery, process analysis, prototyping, documentation, or workflow improvement. Proficiency in no-code/low-code tools (n8n, Zapier, Make, Bubble, Bolt, etc.) is a plus Experience managing cross-functional teams and collaborating with business, technical and senior stakeholders Experience implementing AI into products and/or business processes with measurable results is a plus Experience in B2B marketing operations, lead generation, demand generation, or marketing automation is a plus​‌ Fluency in English (Upper-Intermediate or Advanced level) What We Offer Opportunity to shape the backbone systems of a modern, data-driven digital company Autonomy to lead meaningful projects from ideation to impact A collaborative, innovation-first environment that values initiative and experimentation Reduced working hours on Fridays during the summer Schedule: Monday–Friday, 1:00/2:00 PM – 9:00/10:00 PM EET Why Join Us You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

Location: Warsaw, Wrocław, Łódź, Kraków, Gdańsk OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We are seeking an experienced Senior Project Manager with a background in Business Analysis and/or Product Management to lead strategic business initiatives. This role is responsible for the end-to-end execution of projects focused on analyzing, planning, implementing, and automating business processes. The ideal candidate combines project management expertise with analytical skills to drive business process improvements at both departmental and company levels. Key Responsibilities Lead and coordinate multiple projects simultaneously across different departments, ensuring timely delivery within scope and budget Own end-to-end project planning, including solution design, budgeting, resource allocation, and risk management Conduct in-depth analysis of workflows and business processes to identify optimization opportunities and translate them into actionable project requirements Drive business process improvements through research, process modeling, data analysis, and gap analysis Communicate effectively with stakeholders throughout the project lifecycle - gathering requirements, reporting progress, presenting results, and managing expectations Lead change management efforts, ensuring smooth transitions and stakeholder engagement during implementation Coordinate with cross-functional teams to ensure the successful integration of business systems, processes, and technology solutions Qualifications 4+ years of proven project management experience Proven experience as a Business Analyst or Product Manager Proven experience managing internal products, projects, and processes Proven experience in managing digital and operational business process improvement projects Hands-on experience in business process analysis and workflow optimization with a proven track record of implementing improvements directly into products or operational processes Hands-on experience using and implementing AI tools to automate workflows, validate hypotheses, build prototypes, and optimize products and processes Strong AI prompting skill Experience managing cross-functional teams and collaborating with business and technical stakeholders Fluency in English (Upper-Intermediate or Advanced level) Experience implementing AI into products and/or business processes with measurable results is a plus Experience in B2B marketing operations, lead generation, demand generation, or marketing automation is a plus Proficiency in no-code/low-code tools (n8n, Zapier, Make, Bubble, Bolt, etc.) is a plus What We Offer Opportunity to shape the backbone systems of a modern, data-driven digital company. Autonomy to lead meaningful projects from ideation to impact. A collaborative, innovation-first environment that values initiative and experimentation. Reduced working hours on Fridays during the summer. Schedule: Monday–Friday, 1:00/2:00 PM – 9:00/10:00 PM EET. Why Join Us You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

Location: South Africa; Pakistan; Philippines; United Kingdom; Spain; Bosnia and Herzegovina Job Type: Full-time (Contract) Location: Remote (Working Hours: EST 9 AM – 5 PM) 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, and tech platforms across SaaS, MarTech, FinTech, and more. Unlike traditional outsourcing, you are placed directly with a client as a valued, long-term member of their team. About the Company This opportunity is with a high-performing digital marketing agency based in the U.S., specializing in building conversion-focused websites and running ROI-driven marketing campaigns. Their core mission is simple: create visually compelling websites that generate real revenue for clients in industries like Home Services and Healthcare. Job Summary We’re hiring a Senior Webflow Designe r for a remote web design job focused on creating high-converting websites and marketing assets. This is an ideal role for a designer who thrives in both UI/UX design and Webflow development, with a strong grasp of design systems and digital marketing performance. You’ll own projects end-to-end—from wireframes in Figma to fully responsive, production-ready Webflow builds—while collaborating closely with account managers to deliver impactful client results. Key Responsibilities Design and build Webflow websites from scratch (no templates) Create wireframes, prototypes, and high-fidelity UI designs in Figma Develop marketing assets: ads, landing pages, email newsletters, and social graphics Build and maintain scalable UX design systems (component libraries, tokens, style guides) Ensure responsive, pixel-perfect design across all breakpoints Use structured frameworks like Client-First or Relume naming conventions Collaborate with account managers to align on client goals and deliverables Optimize design outputs for conversion and performance Requirements 3+ years experience inWebflow web design (portfolio required) Advanced expertise in Figma (design systems, prototyping, UI/UX workflows) Strong Webflow skills: CMS, animations, responsiveness, clean structure Proven experience building design systems (component libraries or brand systems) Strong fundamentals in typography, layout, color, and visual hierarchy Experience creating digital marketing assets across platforms Excellent English communication (written and verbal) Nice to Have Basic knowledge of HTML/CSS Advanced Webflow animations CRO (Conversion Rate Optimization) or A/B testing experience Experience in Home Services or Healthcare industries Portfolio Requirements (Mandatory) Your application must include: Live Production Links: Active websites you’ve built (mobile responsiveness will be tested) Webflow Read-Only Links: Backend access to review structure and build quality At least one example of a design system (Figma library, style guide, or brand system) Benefits 💰 Competitive salary: $3,500–$4,500 USD/month 🌎 Fully remote web design role with global team exposure 🚀 Work on high-impact projects that directly drive client revenue 📈 Long-term growth with a performance-focused digital agency 🧠 Opportunity to build scalable design systems used across multiple clients 🏖️ 2 weeks paid time off + paid U.S. holidays 🎯 Clear expectations with structured onboarding and career progression

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 10+ years of software engineering experience, including time as a technical lead setting direction for a team Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS) Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Berlin, Germany Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for an Account Executive, SMB who will play a critical role generating new business and fielding inbound prospects in their territory. You will be responsible for targeting, building and nurturing positive relationships with key decision-makers and assisting them through their Figma evaluation and buying process of all products. This is an opportunity to accelerate your career, learn from leading sellers in the industry and build an incredible network of cross functional partners at Figma. What you'll do at Figma: Create and manage a pipeline of SMB accounts from inbound and outbound activity to consistently meet or exceed quarterly and annual sales targets Apply effective discovery and value-selling techniques to build and strengthen relationships with key decision-makers in both new and existing customers (500< FTEs) Align with key decision makers to identify where Figma’s roadmap and innovations can solve business challenges Conduct thorough analysis to tier and prioritize accounts in large volumes Expertly position Figma and engage cross-functional partners where necessary to drive deals forward Leverage opportunities to advance relationships through in-person meetings and networking opportunities We'd love to hear from you if you have: Experience closing sales for a software or SaaS business in an outbound function Consistent performance meeting pipeline generation targets for net new business Demonstrated experience successfully managing high volume sales cycles (1-3 months) A sales methodology and process that creates value for customers Fluency in German While it’s not required, it’s an added plus if you also have: Experience selling solutions to technical audiences (i.e. Engineering, Product, Design teams) Demonstrated ability to succeed in a changing environment Certified in deal qualification and prospect discovery At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ROBOTICS PRODUCTION TEAM LEAD (MECHATRONICS) Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.
 OUR MISSION At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. VISION In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization SOLUTION As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role As Robotics Production Team Lead, you’ll be responsible for leading a team of technicians in complex, high-velocity humanoid robotic builds. You’ll be accountable for the quality, pace, and consistency of your own output as well as that of your team, whilst clearly and concisely communicating risks and blockers to the senior leadership team. You’ll be expected to keep your team engaged and empowered, maintaining the balance between quality and speed. You’ll use your skills and expertise to facilitate the identification and resolution of electrical and mechanical build issues, partnering and engaging with subject matter experts from across the business. Furthermore, you’ll own the culture of your team, driving workshop standards and an unwavering pride in workmanship.   WHAT YOU’LL DO Leadership - Lead a team of technicians in robotics assembly, rework, and repair - Report on delivery, risks, and blockers to the department head - Own and drive team culture to ensure efficiency, safety, and quality - Lead by example as someone who embodies the values and ethics of the team they are leading. - Demonstrate and embed a continuous improvement culture within your team - Allocate and track the progress of build work orders - Unblock challenges encountered by your team, escalating blockers where necessary - Pro-actively identify delivery risks, and work with your team and the senior leadership team to address them Hands-On Assembly & Integration - Build electro-mechanical assemblies according to CAD, drawings, and work instructions. - Perform precise mechanical assembly, harness routing, sensor installation, and connectorisation. - Support first-article builds, iterations, and rapid design changes. - Flag issues early and collaborate with engineering to implement fixes.   Support Validation, Debug & Test - Assist in functional testing of subassemblies and full robots. - Identify and resolve build or performance issues in real time. - Work closely with test and integration teams to ensure system readiness.   Be a High-Speed Collaborator - Communicate clearly with engineers, fellow technicians, and operations. - Adapt quickly to changing priorities—jump in wherever help is needed. - Contribute ideas to improve speed, reliability, and quality of builds.   WE’RE LOOKING FOR - Experienced in leading teams in electromechanical assembly or engineering product development - 3+ years of experience in electromechanical assembly or hand-assembly of complex systems. - Proven ability to work with mechanical, electrical, and embedded systems - Strong attention to detail and a deep sense of build quality and safety. - Ability to read CAD, mechanical drawings, and wiring diagrams. - Hands-on experience with common tools, fixtures, soldering, harness assembly, etc. - You move fast, stay organized, and take pride in solving problems in real time. - Comfortable working in a fluid, high-urgency environment with evolving designs and short timelines. WHAT WE OFFER - Competitive salary plus participation in our Stock Option Plan - Paid vacation with adjustments based on your location to comply with local labor laws - Travel opportunities to our Boston and Vancouver offices - Office perks: free breakfasts and lunches - Freedom to influence the product and own key initiatives - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics - Startup culture prioritising speed, transparency, and minimal bureaucracy.

Location: Karamoja, Uganda. About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Job Title: Field Officer Location: Karamoja District, Uganda Reports to: Associate Field Manager Overview: The Field Officer will play a critical day-to-day role in delivering GiveDirectly’s gold-standard cash transfer product to donors and recipients. The Field Officer will carry out and support a variety of field activities, depending on his / her team assignment and GiveDirectly’s needs on any given day. In short, the Field Officer will be responsible for executing the recipient surveys and associated processes that facilitate GiveDirectly’s unique cash transfer model. The role will reward high-quality judgment on operational questions and challenges, work ethic, communication skills, and a strong commitment to GiveDirectly’s mission and model. Core responsibilities by team: Census team Barazas: explain GiveDirectly’s program to entire villages prior to the census surveys; answer any questions. Explain GiveDirectly’s program to eligible households Meet with the village elders and guides to understand village boundaries Coordinating with team members, visit every household in the village, excluding none Complete census surveys with accurate data using digital tools Registration team Provide cell phones as necessary Ensure someone in the household is ready to operate the phone to access transfers Identify and eliminate ineligible households Complete surveys with accurate data using digital tools accurate data Reinforce information about GiveDirectly’s program to eligible households Explain safety and readiness information to recipients Ensure someone in the household is ready to operate the phone to access transfers Identify and eliminate ineligible households Follow-up team Follow up surveys: call or visit recipients to administer a survey to confirm transfer receipt and collect data used to improve the program and uncover any recipient problems Hotline calls: answer the phone as recipients call in with questions or concerns, answering their questions and escalating any problems as necessary Registration problem resolution: for people who have not registered with mobile money or who have registered with the wrong name, call or visit the recipients and advise them on how to register Adverse events case management: identify, report, and escalate adverse events to team leader; examples include: intra-household conflict, rumors about GiveDirectly, reports of a bribe, etc. A Field Officer will be a member of one of these teams as assigned depending on the organisation’s needs. Desired qualifications: Language requirement: Ngakarimojong Possess at minimum a bachelors degree in relevant fields Previous working experience in Humanitarian sector ( at least 1 year) Computer and mobile device data entry ability or experience (Commcare, Salesforce, Google suit package ) Empathy, honesty, and the highest standards of integrity Strong interest in advancing the distinctive values and mission of GiveDirectly Patience and good judgment in resolving recipient problems Previous working experience in the field with vulnerable communities (1-2 years minimum) Physical fitness and ability to cope with difficult weather conditions or terrain This is a field based, short term contract (3 months) role and applications will be processed on a rolling basis. Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Riyadh, Saudi Arabia Müller’s Solutions is seeking a Senior Splunk Expert to lead the design, implementation, and management of Splunk solutions across our enterprise. In this role, you will be responsible for creating advanced data ingestion, search, and dashboard strategies to deliver actionable insights from complex datasets. You will collaborate with various teams to enhance our monitoring capabilities, improve security posture, and support data-driven decision-making. Key Responsibilities: Design, develop, and maintain Splunk infrastructure including indexers, search heads, and forwarders. Create and optimize Splunk queries, dashboards, and reports to support business and operational needs. Integrate data sources and ensure data quality and consistency within Splunk. Implement and manage Splunk apps and add-ons to extend functionality. Monitor Splunk environment health and perform troubleshooting and performance tuning. Collaborate with security teams to implement Splunk for security information and event management (SIEM). Develop automation scripts to streamline Splunk administration and data ingestion processes. Provide training and support to end-users and other team members. Stay current with Splunk updates, features, and best practices. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience working with Splunk in an enterprise environment. Strong knowledge of Splunk architecture and components. Proficiency in advanced Splunk Search Processing Language (SPL) and dashboard creation. Experience integrating various data sources and managing large data volumes. Experience with Splunk Enterprise Security and IT Service Intelligence is a plus. Familiarity with scripting languages such as Python or Bash for automation. Excellent analytical and problem-solving skills. Strong communication skills and ability to collaborate across teams. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Europe; United States Workplace: Remote ABOUT CANTINA Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat. If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next. ABOUT THE ROLE: We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. You’ll drive the model ↔ data ↔ eval flywheel for TTS and adjacent tasks (voice cloning, controllable TTS, voice conversion and more), partnering closely with research, data, and infra to ship fast, reliable, and cost-aware models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. WHAT YOU’LL DO: - Model Building: Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models. - Project Leadership: Independently lead small research projects while collaborating on larger team initiatives. - Experimental Design: Design, run, and analyze scientific experiments to advance our understanding of the models. - Tool Development: Develop and improve dev tooling to enhance team productivity. - Full-Stack Contribution: Contribute to the entire stack, from low-level optimizations to high-level model design. - Data Ownership: Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies. - Rigorous Evaluation: Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies. - Pipeline Delivery: Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback. - GPU Scaling: Partner with infrastructure to run distributed training/inference on cloud fleets and productionize models with reliability and observability. - Safety & Responsibility: Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology. WHAT YOU’LL BRING: - Exceptional research/development experience with large scale audio models (>3B models and >500k hours data). - Exceptional understanding and hands-on experience with transformer architectures and/or diffusion models (inc. distillation and streaming) and/or audio language modelling. - Strong experience with multi-node and multi-gpu distributed model training. - Strong software engineering skills with a proven track record of building complex systems - Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production quality code. - Shipped large scale speech/audio models to production. - Background in working with large-scale ML data. - Ability to iterate on data,, and triangulate quality using subjective and objective signals. - Notable publications and/or open source contributions in speech/audio/ML. - Experience with voice-cloning, speech-control, voice-generation. PREFERRED EXPERIENCE: - Shipped large scale speech/audio models (TTS/VC/ASR) to production. - Work on large-scale ML systems. - Experience with audio language modelling, transformer architectures. - Experience with voice-cloning, speech-control, voice-generation. - Background in processing large-scale ML data. - Publications or notable open-source in speech/audio/ML. COMPENSATION: When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   BENEFITS FOR U.S.-BASED ROLES: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Dublin, IE; London, UK; New York City, NY; Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for an Incident Response Manager to serve as the operational backbone of how Anthropic handles incidents. When things go wrong, you are the person who makes sure the right people are in the room, the right information is flowing, and nothing falls through the cracks. The right person for this role brings structure and rigor to high-volume, high-stakes situations without waiting for a playbook to be handed to them. You will work across engineering, product, security, legal, go-to-market, and leadership to ensure Anthropic responds to incidents with speed, clarity, and accountability. This is not a role where you follow existing runbooks; it is a role where you write them, and where you operate effectively even when the runbook does not yet exist. Responsibilities Build the incident response management function, establishing the processes, tooling, and operational standards that define how we handle incidents at scale Serve as an on-call incident commander, driving coordinated response across technical and non-technical stakeholders during incidents of varying severity, including managing multiple active incidents simultaneously Engage the right people at the right time, with a strong sense of urgency, bringing order and direction to fast-moving, ambiguous situations Own incident communications end-to-end, from real-time internal coordination to external channels like status pages, direct customer outreach, and stakeholder updates, ensuring they reflect Anthropic's commitments to safety, transparency, and accuracy Participate in blameless incident reviews, contributing operational context and helping drive follow-through on critical remediations so the same class of incident does not recur Partner with engineering teams to develop and maintain incident response policies, procedures, and escalation frameworks that scale with Anthropic's growth Partner with engineering, product, security, legal, and go-to-market teams to continuously improve how the organization detects, responds to, and learns from incidents You May Be a Good Fit If You Have 5+ years of experience in incident management, with direct experience managing technical product or infrastructure incidents (not exclusively security or trust and safety) Have built or significantly shaped an incident response program, ideally at a high-growth startup or in an environment where you had to create structure rather than inherit it Demonstrate a strong sense of ownership and urgency, with the ability to operate independently and make sound decisions under pressure without waiting for direction Are comfortable working in unprecedented situations where processes are still being defined and guidance may be incomplete or conflicting, leaving things better than you found them Have a track record of effective cross-functional collaboration, particularly with engineering, security, legal, communications, go-to-market, and executive leadership Bring a blameless, learning-oriented mindset to incident reviews, focused on systemic improvement rather than individual fault Have experience with cloud infrastructure incidents and enough technical depth across the stack to engage meaningfully with engineering teams during response, including comfort navigating distributed systems, monitoring tools, and logs Are analytically minded, with experience using data (incident metrics, queries, trend analysis) to inform decisions during response and to drive operational improvements over time Communicate clearly and calmly under pressure, both in real-time coordination and in post-incident written communications Thrive in high-volume, fast-paced environments and are energized by bringing operational discipline to complex, evolving situations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next. Responsibilities Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time Sit in on crowd worker and vendor sessions to systematically understand pain points Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores Minimum Qualifications You May Be a Good Fit If You Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy Shipped products where they had to deeply understand technical constraints, not just translate requirements Experience working directly with research teams, ideally in AI/ML contexts Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data Preferred Qualifications Strong Candidates May Also Have Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines Experience working with researchers who are internal users/customers Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows Strong project management skills: prioritization, communicating across team/org boundaries The ideal candidate has the following virtues/values: Have 5+ years in product management, with experience launching new products and scaling existing products. Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn Autonomous learning: Able to independently figure out how systems work and develop expertise quickly Researcher EQ: Deep understanding of how researchers think and what motivates them Product creativity: Ability to see novel product opportunities emerging from research capabilities Founder mentality: Track record of doing whatever it takes to ship highly technical products 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: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHO WE ARE LOOKING FOR Everyone at Higgsfield is an A-player. We’re looking for teammates who bring: - A sharp design sense and the ability to turn complex product ideas into fluid, intuitive interfaces. - Curiosity for the newest AI-driven UX patterns, frameworks, and tools. - Resilience and focus in a high-intensity startup environment. - A drive to explore and adopt new frontend frameworks and AI-assisted dev tools. WHAT YOU WILL WORK ON - Build the core interfaces of Higgsfield products — from rapid prototypes to production-ready UIs used by millions of people every day - Turn pixel-perfect designs from Figma into fast, dynamic interfaces where every detail works as well as it looks - Design and optimize complex UI systems, including timelines, editors, and interfaces with large volumes of video and media - Develop a scalable frontend architecture and evolve our design system and component library - Make the interface максимально fast and responsive: minimal bundle size, instant loading, and smooth interactions - Ensure product quality through unit, integration, and end-to-end tests for key user scenarios YOUR MUST HAVES - Experience building complex software and teaming up with others to get it done - Strong communication, collaboration, and commitment to completing projects - Advanced expertise in Typescript, React, NextJS, CSS - Responsive, cross-browser layout & design systems - Experience optimizing media storage, caching, and delivery performance - Experience working with Cloud: Vercel, AWS, Cloudflare - Knowledge of CI/CD, bundlers, profiling, performance optimization - Willingness to work in a fast-paced startup environment. THE DEAL - Top-of-market compensation in USD. - Meaningful stock options with significant upside. - Small team, high autonomy, and outsized impact. - On-site role in our Almaty office (we will relocate you from anywhere).

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 Anthropic's research organization works across the full model development lifecycle, from pre-training and post-training to alignment, interpretability, and safety, each operating at the frontier of AI development. As a Technical Program Manager for Research, you'll define and build the programs that research teams need most. You'll move across research areas like compute, evals, RL environments, and emerging research initiatives, going deep enough in each to understand how researchers work and what they need. You'll identify where the biggest opportunities for impact lie, find the highest-leverage gaps, and build the programs, processes, and tooling that allow researchers to focus on research. This is a 0-to-1 role: you'll explore new domains as priorities shift, determine what each one needs, and create lasting impact where none existed before. Note: This role may require responding to incidents on short-notice, including on weekends. Responsibilities Embed deeply within a research domain to understand the technical landscape, build trust with researchers and technical leaders, and identify the highest-leverage problems to solve, knowing the surface area will shift over time as research priorities evolve Move fluidly across research areas like compute, evals, RL environments, and emerging research initiatives, picking up new domains quickly and getting to depth fast Drive end-to-end execution of complex, ambiguous research initiatives spanning multiple teams, often without established playbooks or precedent Establish processes and frameworks that bring structure to unstructured research environments without slowing researchers down Lead efforts like large-scale compute resource planning, including allocation, efficiency, and prioritization across research and production workstreams Drive eval readiness for model launches by standardizing results, shaping eval plans early, improving tooling, and ensuring honest, transparent reporting across research, product, and marketing Own execution and operational health of RL environments across major training runs, coordinating cross-team trade-offs and feeding insights back into roadmap planning Equip research leadership to make decisions quickly by going deep on technical tradeoffs and presenting clear, actionable recommendations Act as the connective tissue between research, engineering, and product teams to reduce chaos and accelerate execution You May Be a Good Fit If You Have a background in ML research or engineering with several years of experience building technical programs from scratch, ideally with hands-on exposure to training, evaluation, or large-scale distributed systems Are a fast learner who can ramp on unfamiliar technical domains quickly and contribute meaningfully to discussions with researchers Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in fast-moving research environments Have a track record of operational ownership of complex technical systems, including monitoring, incident response, and performance optimization Can reason about technical tradeoffs at depth across model architecture, training infrastructure, evals, or compute efficiency, and translate them into clear decisions for leadership Have excellent stakeholder management skill and the ability to influence senior technical staff through competence and consistent delivery Are comfortable with high-stakes environments where decisions impact compute spend, model training timelines, and launch outcomes Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Are excited to redefine what technical program management looks like at the frontier of AI research 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: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Europe; United States Workplace: Remote ABOUT CANTINA: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! ABOUT THE ROLE: We are seeking an experienced Machine Learning Engineer (MLE) to focus on audio model evaluation, specifically for speech generation and recognition models. This role involves designing and developing comprehensive model evaluation pipelines for both development and production environments, as well as creating automated dashboards for reporting evaluation results. As the founding member of our evaluation team, the ideal candidate is expected to leverage their experience to lead our evaluation efforts and play a key role in the future growth of the evaluation team. WHAT YOU’LL DO: - Designing model evaluation pipelines for models in development and production - Designing user studies for subjective model evaluations. - Converting requirements into measurable metrics. - Designing and developing automated evaluation dashboard to see model performances and compare results. - Training new models to capture new and different evaluation metrics. - Communicating with the model team to help design better models based on the evaluation results. - Communicating with the data team to help decide the type of data necessary to improve model performance. - Communication with the product-manager to make sure product requirements are correctly measured. - Help grow the evaluation team as the founding member. - Lead the evaluation team in the future. WHAT YOU’LL BRING: - Strong experience and intuition for designing metrics that capture model performance. - Strong experience with designing user studies on Mechanical Turk or similar platforms. . - Strong experience with model training and fine-tuning for model evaluation. - Strong statistical knowledge and experience to statistically compare evaluation results and take decisions. - Very strong engineering and programming skills. - Experience with training ASR, TTS models. - Experience at ML teams working on large-scale machine learning problems. (>3B models with >1m hours of data) COMPENSATION: When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   BENEFITS FOR U.S.-BASED ROLES: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: South Africa; United Kingdom; Canada; United States; Philippines 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 high-growth startups, digital agencies, and cutting-edge tech platforms in industries such as SaaS, AI, MarTech, and FinTech. Unlike traditional outsourcing models, you’ll be placed directly with a client as a core team member—giving you ownership, impact, and long-term career growth. About the Company Our client is a fast-growing AI automation startup helping businesses streamline operations, increase efficiency, and scale revenue through advanced automation solutions. With a strong focus on results and ROI, they partner with service-based businesses to implement high-impact AI systems that drive measurable growth. Job Summary We’re hiring a Senior Sales Development Representative (SDR) for a high-performance, revenue-focused role in the AI & automation space. This is not a typical appointment-setting position—you’ll play a direct role in driving revenue and contributing to closed deals. This opportunity is ideal for a closer-minded SDR who thrives in outbound sales, owns their pipeline end-to-end, and is motivated by hitting aggressive revenue targets. Key Responsibilities Execute high-volume outbound prospecting (calls, LinkedIn, email) Run discovery calls and qualify high-ticket opportunities Manage the full sales pipeline from outreach to close support Book and conduct Zoom meetings with qualified prospects Handle objections confidently and move deals forward Collaborate closely with founders and sales leadership Consistently hit KPIs for outreach, meetings, and revenue contribution Requirements 3+ years of high-ticket sales experience (non-negotiable) Proven ability to generate and close revenue, not just book meetings Strong cold calling, discovery, and objection-handling skills Experience managing a full sales cycle or pipeline ownership Confident, professional presence on Zoom and client calls Excellent spoken and written English Highly self-motivated with strong ownership and accountability Experience selling AI, automation, or tech-enabled services Familiarity with GoHighLevel Experience using tools like LinkedIn Sales Navigator, Apollo, or ZoomInfo Background selling into healthcare, med spas, or service-based businesses Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. Key responsibilities Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational excellence practices (incident response, postmortem culture, on-call) Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium) Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 10+ years of software engineering experience, including time as a technical lead setting direction for a team Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.