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Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. Our Postgres team operates and maintains our Postgres product for a very large number of our millions of users. Running stateful services at scale is challenging, and we continue to add new features as both Postgres and our customers’ needs evolve. User experience is our primary focus and drives everything we do. As a product engineer at Render, you will take complete, end-to-end ownership of full stack projects. You should already have experience building a Postgres platform. WHAT YOU'LL DO - Operate and maintain the Render Postgres fleet. - Collaborate closely with design, product, other engineers, and cross-functional stakeholders. - Help evolve and mature the Render Postgres product as it scales and increases in complexity over time. - Participate in team planning, roadmapping, and goal-setting. - Help shape team culture and practices as the company scales. - Help evolve the Postgres product with new capabilities. - Participate in on-call responsibilities with the rest of your team. WHAT WE'RE LOOKING FOR - 6+ years of professional experience shipping software. Bonus points if you’ve excelled at a small, high-growth startup. - Experience collaborating with product and design stakeholders. - Strong sense of ownership and ability to make pragmatic decisions about your work. - Comfort with working in a distributed system. - Experience operating Postgres at scale. - Familiarity with modern tooling for software build and deploy processes. NICE-TO-HAVES - Experience wearing multiple hats and working across the stack, both collaboratively and independently. - Strong understanding of web frameworks, APIs, and databases, and experience working with multiple programming languages. - Familiarity building for product-driven growth and modern enterprise audiences. - Experience with any of the technologies the Render product runs on: Go, Typescript, React, Kubernetes, Postgres, Terraform, Temporal. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Europe Overview Smartling is seeking a French-speaking Business Development Representative for a remote, work-from-home position based in Ireland. Smartling’s Business Development team is a group of highly motivated sales professionals whose focus is to source and engage with high-potential prospects. As the first point of contact with potential customers, you will qualify active buying interest and be a critical part of the bridge between marketing and sales to ensure new customer acquisition is consistent, high-quality, and frictionless. Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. What’s in it for you Become a business representative via regular and structured coaching and training Be a part of an ambitious and highly motivated team You will learn vital prospecting skills and be a champion in discovery calls with prospects Develop your core foundation and launch your career as a SaaS sales professional Work in a fast-paced technology company Sales performance incentives for fun (SPIFFs!) You Will Work alongside marketing and sales to source and engage with high-potential prospects and companies Develop and execute outreach strategies via email, Zoom and social channels Generate curiosity with potential customers by clearly articulating Smartling’s value proposition Act as a consultative partner for potential customers; fielding questions and handling objections Once prospects have been qualified and a fit has been identified, execute a hand-off to Account Executives Diligently record and manage prospect and company information in Salesforce.com Become a Smartling expert, maintaining an in-depth knowledge of the product, competitive positioning and industry trends Be a Smartling ambassador at industry events and conferences You Have Proficiency in French Interest in sales as a career Track record of top performance in a competitive environment A natural passion and curiosity for fast-paced technology Clear communicator with a deep sense of empathy A self-starter who loves problem-solving and teamwork Excellent written communication skills Bachelor’s degree or equivalent work experience 1 year customer-facing experience A home office setup conducive for working remotely, and the ability to work effectively as a remote team member* Preferred but not required Working knowledge of sales and marketing tools, e.g. Salesforce.com, LinkedIn, Outreach Prior experience within a fast-paced technology company You Are Results-focused. Motivated, hard-working and ready to level up to your career goals Curious: You’re a “forever learner” with an insatiable desire to gain new skills and knowledge Enthusiastic . A fun and energetic co-worker Customer-focused. Passionate for client success at all times Detail-oriented . Have excellent time management and organisational skills A team-player .  Who gets excited by a fast-paced, high-energy environment You Will Enjoy Freedom 🏡- we are remote-first Growth - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary Wellness - health benefits (based on location) Balance - flexible PTO Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral programs and Apple equipment Smartling is proud to be an equal opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction and clutter-free) background. To all recruitment agencies: Smartling does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias or Smartling employees. Smartling is not responsible for any fees related to unsolicited resumes. #LI-TO1

Location: United States MEMX is seeking a Software Engineer with a strong passion for data and experience in business intelligence tools to join our regulatory software engineering team. In this role, you will design, develop, and maintain data pipelines, integrate data from various sources, and transform it into meaningful insights. This role requires a combination of strong Java programming skills and experience with Business Intelligence (BI) tools, data processing, and data integration. MEMX currently has a U.S. presence in these states: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, & Utah. *If you live outside of the above states, please list in your application and our team will evaluate. What You'll Do Design, build, and optimize data pipelines and workflows to process, clean, and transform data using Java Work with various data sources (SQL, NoSQL, cloud data storage) and build integrations to unify data for reporting and analytics Work closely with tech lead/product management to understand data needs, build dashboards, and develop automated reporting solutions Design and optimize storage solutions for structured and unstructured data, enhancing data retrieval and performance for BI purposes Maintain comprehensive documentation of processes, code, and data flows. Follow best practices in code design and deployment to production Requirements Strong proficiency in Java (Java 8+ preferred) with a focus on data-related frameworks and libraries Experience in handling large datasets, including data cleaning, transformation, and aggregation techniques Proficiency in working with SQL and NoSQL databases and an understanding of database design principles Familiarity with BI tools like Tableau, Power BI, or Looker to create and manage reports and visualizations Experience working with cloud platforms for data storage and processing is a plus Strong analytical and problem-solving skills to derive insights from data and enhance data processing workflows Preferred Qualifications Familiarity with Python or Java for data processing Understanding of data modeling and data warehousing concepts Experience with REST APIs and microservices architecture Knowledge of version control tools like Git and CI/CD pipelines Benefits At MEMX you will have the ability to work with a talented team of professionals who bring diversity of thought and background. You will have the opportunity to shape the future of our company and the impact MEMX will have on our clients and the broader markets. We offer competitive employee benefits and perks and will continue to make this a priority to attract the best. Work From Home Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited Paid Time Off Generous Paid Family Leave Short Term & Long-Term Disability Training & Development Wellness Resources Pay Range: $120,000 - $150,000 *Pay ranges are a general guideline only and not a guarantee of compensation. Compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission.   The Application Infrastructure team enables iOS, Android, Backend, and Web engineers to reliably and quickly deliver new features to members. We own and operate critical shared infrastructure, including Kubernetes and Kafka, and build the tooling and guardrails that allow teams across WHOOP to ship safely at high velocity.   As a Senior Platform Engineer on the AppInfra team, you will play a key role in driving large-scale architecture projects, collaborating with cross-functional teams to design and implement infrastructure that is highly scalable, resilient, and secure. You will build systems that help increase the safety of deployments to Kubernetes while also increasing the velocity of releasing new features. You will be responsible for ensuring optimal performance and stability for the entire software delivery pipeline. You will help set the direction of the AppInfra team to impact engineers across all WHOOP technology stacks.   RESPONSIBILITIES - Design, develop, and operate WHOOP’s Kubernetes clusters running on AWS infrastructure - Drive architectural decisions to improve scalability, resiliency, performance, and security across the build and deployment platform - Build systems and tooling that increase deployment safety and accelerate release velocity to Kubernetes - Advance CI/CD capabilities to support frequent, reliable production deployments - Lead developer productivity improvements through tooling, automation, and platform integrations - Partner with application, security, and data teams to embed secure-by-default infrastructure practices - Participate in incident response, root cause analysis, and postmortems to continuously improve platform reliability - Mentor and provide technical leadership to engineers on the Application Infrastructure team - Help define and execute the long-term roadmap for infrastructure and Kubernetes management at WHOOP QUALIFICATIONS: - 5+ years of experience in DevOps, Platform, Site Reliability, CloudEngineering, or Backend Software Engineering roles - Deep understanding of Kubernetes architecture and core components - Strong knowledge of container networking concepts, including overlay networking, service meshes, and network policies - Experience with multi-cluster Kubernetes environments and inter-cluster communication patterns - Hands-on experience operating cloud infrastructure, preferably in AWS (e.g., IAM, VPC, EC2, S3, RDS, CloudTrail, Organizations) - Hands-on experience with Infrastructure as Code tools (e.g. Terraform) - Experience developing backend or infrastructure-adjacent services using Java, C#, or Python - Proven ability to evaluate system performance, identify bottlenecks, and use data to drive improvements - Experience collaborating with multiple stakeholders and prioritizing work for maximum business impact BONUS QUALIFICATIONS: - Experience operating Kafka or other large-scale distributed systems - Experience with Kubernetes security best practices, including RBAC, secrets management, and pod security standards - Exposure to service reliability practices such as SLOs, SLIs, and error budgets - Prior experience supporting compliance or security-focused infrastructure initiatives ABOUT YOU: - You bring a security-first mindset to everything you build and operate - You enjoy working on infrastructure that enables hundreds of engineers to move faster - You’re comfortable operating in complex, high-scale production environments - You enjoy teaching, mentoring, and raising the technical bar for those around you - You’re curious, adaptable, and excited to learn across a wide range of systems and technologies Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: European Union Workplace: Remote About the Role At Playson, we’re all about crafting innovative, eye-catching designs for the gaming world. We’re on the lookout for a creative and skilled Graphic Artist to join our team, specifically for slot games. If you love creating art that combines both creative flair and technical precision, this role is for you.   Key Responsibilities - Design original logos, icons, and visual assets for slot games - Create promotional graphics for marketing campaigns across various platforms (social media, email, banners) - Refine and enhance existing promotional content to keep it fresh and engaging. - Collaborate closely with developers and content editors to ensure your designs come to life as intended - Deliver assets optimised for smooth integration with developers and animators. - Contribute to the design of game symbols, characters and promotional materials Requirements - 5+ years of experience as a Graphic Designer in the gaming or iGaming space - Strong base art skills in logo design, layout, typography, and colour theory and composition - Proficiency in Adobe Photoshop, or similar design tools - Ability to create designs from scratch, not just repurpose existing elements - Flexibility, proactivity, and a strong sense of initiative Nice to Have - Experience with animation tools like Spine - Familiarity with usability principles What We Offer - Benefit from a transparent and systematic quarterly bonus system - We offer a flexible work schedule to accommodate your needs - Choose to work remotely, providing greater flexibility and comfort - Enjoy unlimited paid vacation leave, including bank holidays - Take unlimited paid sick leave whenever necessary - Get reimbursement for professional development courses and training. We provide access to the latest tools and training for continuous growth   Recruitment Process - Portfolio review. Applications without a portfolio will not be considered for further steps - HR Interview - Take home task - Final interview By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. This role will be based in Poland, and you need to be residing in the country already. As an Engineering Manager, you'll lead software engineers building and scaling critical platforms that power the OLX engineering ecosystem. You'll combine strong people leadership with enough technical depth to guide major projects, shape technical direction, and help the team solve complex platform challenges. This is not a generalist Engineering Manager role. Previous experience leading an engineering team in a Platform environment is mandatory. We need someone who understands what it means to build platforms for other engineers and the unique challenges that come with balancing developer experience, reliability, scalability, standardisation, and team autonomy. You'll capture requirements, shape ambitious but balanced project scope, lead technical initiatives, and partner across teams to solve technical problems and ensure smooth adoption and implementation of platform solutions. Our Platform environment is a mix of software engineering, APIs, distributed systems, infrastructure, DevOps, scalability, and reliability.  We're looking for someone who can operate at both levels: developing people and leading a Platform team, while providing the technical and organisational leadership needed to make the platform successful. What you will be doing: Lead by example and manage a team of talented engineers, providing technical guidance, mentorship, and career development support; Collaborate with cross-functional teams, including data science and data engineering managers, and product managers to define project goals, scope, and deliverables; Drive the end-to-end development process, from design to implementation and deployment, ensuring high-quality and scalable solutions (with controlled cost); Identify and prioritize technical initiatives, considering ROI, scalability, and performance requirements; Implement modern software development practices, including agile methodologies, continuous integration, and deployment, to ensure efficient and effective project delivery; Collaborate with stakeholders to gather and analyze requirements, ensuring that the platform meets customer needs and provides an exceptional user experience; Foster a collaborative and inclusive team culture, promoting knowledge sharing, innovation, and continuous improvement. What you have: Bachelor's or Master's degree in Computer Science or a related field; Track record of proven people management experience (3+ years) focused on developing and growing people; 5+ years of professional experience in software development. Proven experience in designing and developing large-scale, high-traffic systems; Familiarity with microservices architecture and container orchestration (e.g. Docker, Kubernetes, Streaming architectures); Strong knowledge of data structures, and software design patterns; Good understanding and ideally successful application of AI/ML; Experience with modern software development practices, such as agile methodologies, continuous integration, and deployment; Excellent problem-solving skills and the ability to work effectively in a team environment; Proficient in English, with strong verbal and written communication skills. Our benefits: Monthly salary and an annual bonus (20%) Training and conference budget, and free access to Udemy courses A benefits package with 300 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more IP rights’ costs - 60% 100% remote work (as well as the possibility of working from our offices in Poznan and Warsaw) At OLX, we unlock value in our people. We invest in ourselves and each other to reach our full potential. We avoid bureaucracy and empower our teams to innovate; with opportunities, training and leadership behaviors a focus for all. Our commitment to inclusion ensures we listen to a diverse range of voices when making decisions. And, we combine the spirit and agility of a startup with our global scale and the backing of Prosus, one of the largest consumer internet groups in the world. We also unlock value for our stakeholders. We are proud of the positive contribution we make to our planet, by enabling more conscious consumption and helping the world make the most of its limited resources through more efficient trade. And last but not least, we love to unlock value for our customers. Every single month, over 300 million people use our platforms to easily, safely, and conveniently find their perfect home, buy or sell a car, find a great job, sell things they no longer need, or strike a great deal on something they need. And we help thousands of entrepreneurs and businesses find their customers too. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: OPEN TO ALL LOCATIONS; Canada; New Zealand; South Africa; United Kingdom; Hong Kong; China; Rwanda; Uganda; India; switzerland; Kyrgyzstan; Spain; Bosnia and Herzegovina Workplace: remote Transcriber – Audio & Annotation Projects  Location - Global (Remote) We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs. Key Responsibilities Transcribe audio files into clear, well-structured text Work with a variety of audio types, including: Single-speaker recordings Podcasts Multi-speaker conversations Identify speakers where applicable Ensure high accuracy and attention to detail Follow project-specific transcription and formatting guidelines Task Types 1. Transcription Tasks Convert audio content into written text Maintain consistency in formatting and structure Ensure clarity and completeness of transcriptions 2. Annotation Tasks (Project-dependent) Label or tag segments of text or audio Categorize content based on provided guidelines Support data quality and training datasets Requirements Proficiency in English Good written English Strong listening and comprehension skills Ability to follow detailed instructions and guidelines Previous transcription or annotation experience is a plus, but not required Availability Minimum 4 hours of availability required during scheduled transcription shifts Project Details Flexible working hours – complete tasks at your own pace within project timelines Tasks are completed via a secure online platform Full guidelines and instructions are provided for each task Ongoing support is available to ensure quality and consistency Multiple similar projects are planned throughout 2026, offering potential for continued work

Location: Almaty, Kazakhstan About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Are you a service-minded professional looking for your next challenge? Does being a part of one of Europe’s fastest-growing companies interest you? If so, then we'd love to chat! As Merchant Onboarding Associate, you’ll be tasked with providing exceptional partner experience and outstanding service during the onboarding of our restaurant partners, which strongly contributes to long-term operational success. Your tasks will include managing the partnership during the onboarding process, and ensuring that all necessary data inputs are available in a timely manner. You will also act as a key communicator between our operations team and restaurant partners in order to ensure a seamless onboarding process by driving the resolution of any obstacles encountered. What you’ll be doing Day-to-day in this role you’ll: Oversee the end-to-end onboarding process for new venues, ensuring timely and accurate platform setup Review and validate partner information, cross-checking with signed contracts Create and review partner menus for accuracy and proper structure; coordinate translations if needed Coordinate photography and ensure 100% image coverage for each partner during onboarding Set up and distribute Wolt gear, ensuring partners are trained on proper usage Conduct online and offline training sessions on the Wolt Merchant app and gear Build strong relationships with partners during their first 30 days post-launch, ensuring engagement and activity Support technical integrations (API or SFTP) where required Our humble expectations 1–2 years of experience in a similar role Strong communication and interpersonal skills, with the ability to adapt Logical problem-solving skills, with a proactive and solution-oriented approach Strong multitasking, time management, and task prioritization skills Detail-oriented, structured, and able to manage multiple responsibilities effectively Stress-resilient and able to remain calm and effective under pressure Quick learner and tech-savvy Highly adaptable and comfortable working in a fast-paced environment Fluent in Russian, with good Kazakh and intermediate English Based in Almaty Why you’ll love it 🚀Global and growing fast: Be part of a fast-moving scaleup 🤩Ride of a lifetime: Accelerate your career and build your sales skills 💪Instant impact: Take ownership and make a difference 💙Big hearts and small egos: Surround yourself with smart, friendly people What we offer Independent work in a dynamic, international team Hybrid work mode: four days in the office, one day remote. Career growth opportunities both vertically & horizontally Medical Insurance and strengthened sick leave Employee Assistance Program - therapy and wellbeing % Discount on your Wolt orders Wolt-wide training programs Team budgets Fruits and drinks at the office Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an ambitious team redefining grocery shopping, then we’d love to hear from you. We will be accepting applications until August 1st. Don’t miss the chance to apply by the deadline! Please note that we do not accept applications coming through email due to GDPR. Make sure to apply through our careers page! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

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. 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. ABOUT THE ROLE As a Research Engineer on the World Models team, you will build action-conditioned generative models that predict how the world evolves around our robots — future video, proprioception, contacts, and outcomes — from past observations and actions. World models serve four purposes in our stack: a pretrained, physics-aware prior for our VLA policies; an engine for rare data collection, cross-platform transfer, and sim-to-real transfer; a testbed for policy evaluation and testing before hardware; and a future-prediction rollout engine that surfaces what our policies intend to do, for safety and planning. This is a hands-on individual contributor role: you will design architectures, run large training jobs, and validate your models against real fleet data from industrial deployments. WHAT YOU'LL DO - Design and train multimodal world models — video, state, action, and language — using diffusion-based and transformer architectures. - Build action-conditioned video prediction and dynamics models that stay physically consistent over long horizons, including contact-rich manipulation, and serve as pretrained priors for VLA policies. - Develop learned-simulator evaluation: score candidate policies offline, predict real-world success rates before deployment, and roll out policy futures to expose intended behaviour for safety review and planning. - Generate synthetic rollouts and counterfactual experience — including rare events, cross-platform transfer, and sim-to-real transfer — to augment policy training, and measure their effect on downstream task performance. - Establish fidelity metrics and calibration protocols that quantify where the world model can be trusted and where it diverges from reality. - Build data pipelines that turn fleet telemetry, teleoperation logs, and internet-scale video into training corpora for world models. - Run scaling and ablation studies on architecture, data mixture, and context length; communicate findings crisply. - Collaborate with pretraining, RL, and manipulation teams to integrate world models into policy training and evaluation loops. WHAT WE'RE LOOKING FOR - A track record of training large generative models — video, world, or multimodal — with shipped models or published artifacts to show for it. - Deep hands-on experience with modern generative architectures: diffusion models, autoregressive transformers, latent-variable models, or video prediction. - Experience with large-scale distributed training: streaming datasets, checkpointing and state management, debugging numerics and training instabilities. - Strong Python + PyTorch/JAX; you can profile kernels, optimize data loaders, and write maintainable research code. - Empirical rigor: you design careful evaluations, run honest baselines, and document experiments clearly. - Excitement about grounding generative models in physical reality rather than pixels alone. NICE TO HAVE - Experience with world models for robotics or autonomous driving (e.g., action-conditioned video models, learned simulators, model-based RL). - Familiarity with robotics simulators (Isaac Sim, MuJoCo) and sim-to-real considerations. - Experience using world models for policy evaluation or synthetic data generation at scale. - Publications at top-tier deep learning conferences (NeurIPS, ICML, ICLR, CoRL, CVPR) or equivalent open-source contributions. - Experience optimizing generative models for fast inference. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

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. ABOUT THE ROLE We're hiring a Reinforcement Learning Engineer to join our Autonomy team based in London. In this role you will leverage reinforcement learning in both simulation and physical reality to build highly performant and robust manipulation policies. WHAT YOU'LL DO - Train language-vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world. - Construct challenging and diverse suites of manipulation tasks in simulation. - Partner with teleoperations to collect trajectories in simulation for behavior cloning. - Partner with testing and operations to establish real-world RL training pipelines. - Experiment with various ways of bringing policies trained in simulation to the real world. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience solving real problems using reinforcement learning with deep neural networks in any domain. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - You are self-driven, pro-active, communicate efficiently, document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Experience with simulators for robotics (Isaac Sim, MuJoCo etc.) - Experience in RL for robotics. - Experience building infrastructure for large-scale RL (e.g. using ray). - Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Batumi Workplace: remote CSM Georgia is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement. JOB DESCRIPTION & QUALIFICATION Responsible for maintaining the electrical and electronic equipment onboard the ship. Holder of valid COC (STCW Reg III/6) with verification. STCW and training certificates corresponding to the rank must be valid. Good communication and solution finding skills. English proficiency written and spoken. Safety culture and mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum Experience in Rank 4 months on Same size of Tankers Experience with High Voltage installation. Trading area [USA, Australia]   CONTRACT TERMS & CONDITIONS   Contract Duration [4 months +/- 1 month]  Contract Benefit: competitive salary Terms and condition as per CBA applicable Rejoining Bonus Free Internet onboard and wellbeing support   You may include with your application any reference, specific job qualification, and your availability date. Looking forward to welcoming you in the Columbia Group Family.

Location: Limassol; Nicosia Workplace: hybrid The Role:  Are you passionate about transforming complex data into intelligent, business-driven solutions? Do you enjoy solving challenging problems, developing cutting-edge machine learning models, and collaborating with highly skilled professionals? We are looking for a Senior Data Scientist to join our growing Data Science team. In this role, you will play a key part in designing and delivering innovative data products that create measurable business impact. You'll work with large-scale datasets, advanced machine learning techniques, and modern technologies while collaborating with multiple teams, and business stakeholders to bring data-driven solutions into production. The main responsibilities of the position include: Lead the design, development, and delivery of high-impact data science and machine learning solutions. Translate complex business challenges into structured analytical approaches and scalable data products. Build, evaluate, and optimize advanced machine learning models, ensuring high standards of quality, performance, and reliability. Contribute to technical decisions and best practices across the data science lifecycle. Review and validate data preparation, feature engineering, model selection, experimentation, and documentation. Support the deployment and operationalization of machine learning models in batch and real-time environments. Present analytical insights and recommendations to technical and non-technical stakeholders. Ensure compliance with data quality, model governance, security, privacy, and responsible AI standards. Identify opportunities to leverage data science for automation, forecasting, personalization, optimization, and risk management. Collaborate closely with Data Engineers, Machine Learning Engineers, Software Engineers, Product Owners, and business stakeholders to develop production-ready solutions. Contribute to improving team processes, technical standards, and project delivery methodologies. Support the Lead Data Scientist in defining priorities, roadmaps, and strategic initiatives. Main requirements: University degree in Mathematics, Physics, Engineering, Computer Science, Data Science, or a related field. At least 5 years of experience in a similar role. Hands-on experience with Python libraries such as Pandas, NumPy, and Polars for data processing and analysis. Strong Python programming skills with the ability to write clean, maintainable, and production-ready code. Strong knowledge of modern machine learning techniques and advanced architectures, including Transformers and Graph Neural Networks (GNNs) . Experience with data visualization libraries such as Matplotlib, Seaborn, and Plotly . Good knowledge of SQL and statistical analysis. Excellent analytical thinking and problem-solving skills. High attention to detail and commitment to delivering high-quality solutions. Strong communication skills with the ability to explain technical concepts to non-technical audiences. Excellent verbal and written communication skills in English. A collaborative mindset, curiosity, and a passion for continuous learning. What would be considered as an advantage: Exposure to Natural Language Processing (NLP). Experience working with NoSQL databases. Knowledge of software engineering best practices. Experience working in Unix/Linux environments. Basic understanding of AWS services and cloud-based machine learning environments. Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Speech & Voice AI Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Portuguese (Brazil) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Job reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: Poland Workplace: remote Overview Join a global team shaping next‑generation Generative AI used by millions. We’re seeking detail‑oriented Ukrainian professionals based in Poland to review and annotate multilingual and multimodal content, helping train high‑quality AI systems.   Location: Remote, Poland ContractType: Freelance (Contract) Compensation: $10/hour What You’ll Do Review, evaluate, and annotate AI-generated outputs across text, image, audio, and video Perform quality checks for accuracy, consistency, and compliance with project guidelines Flag edge cases, errors, and areas for improvement in model outputs and instructions Create and refine high‑quality datasets to train and validate advanced AI models Participate in calibration sessions and quality alignment activities Provide clear feedback to improve workflows, tools, and annotation guidelines Requirements: Native‑level proficiency in Ukrainian Strong written communication skills in English Exceptional attention to detail and analytical thinking Proven experience in annotation, content review, quality assurance, data labeling, localization, or related fields Ability to work independently, follow detailed guidelines, and meet deadlines Based in Poland and able to work remotely Preferred Qualifications Experience with multilingual or multimedia content (text, images, audio, video) Familiarity with annotation platforms and productivity tools (e.g., task trackers, spreadsheets) Background in AI/ML data operations, content moderation, or linguistic QA What We Offer Short-term, focused engagement with immediate impact on real-world AI products Flexible remote work within Poland Clear guidelines, training materials, and ongoing support from project leads How to Apply Submit your CV (English preferred) highlighting relevant annotation, QA, or localization experience Confirm your location (Poland), availability for the 2‑week period, and hourly rate acceptance ($10/hour) If available, share examples of previous annotation or QA projects (non-confidential) Equal Opportunity We welcome applicants from all backgrounds and are committed to a fair, inclusive selection process. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Casper, United States At EnerMech, we are committed to delivering safe, reliable, and innovative solutions across the energy industry. We are currently seeking a hardworking and safety-focused Pipeline Laborer to join our team. This role is critical in supporting the construction, installation, maintenance, and repair of pipeline systems by performing a variety of field tasks in a fast-paced and physically demanding environment. The ideal candidate is a team player with a strong work ethic who is committed to maintaining the highest standards of safety and operational excellence. As a Pipeline Laborer, you will assist with activities such as excavation, trenching, pipe alignment, material handling, and site preparation while ensuring all work is performed in accordance with company procedures and industry regulations. Key Responsibilities Excavation and Preparation : Dig trenches and ditches to lay pipelines, ensuring proper depth and alignment according to specifications. Clean and prepare job sites for construction activities. Pipe Installation : Align and position pipes for welding or sealing, ensuring secure connections. Apply protective coatings to pipelines to prevent corrosion. Maintenance and Repair : Perform maintenance and repair work on existing pipelines, including replacing sections of pipe and sealing leaks. Conduct pressure testing to ensure the integrity of the pipeline system. Equipment Operation : Operate various machinery and equipment, such as backhoes and excavators, while adhering to safety protocols. Safety Compliance : Follow safety guidelines and participate in safety training to maintain a safe working environment. Install pipeline markers and warning signs to ensure public safety. Environmental Restoration : Assist in restoring the environment post-construction, including replanting vegetation and restoring habitats Requirements High school diploma/ bachelor's or similar field Experience. Hands-on experience in construction or pipeline work is preferred. Familiarity with heavy machinery operation and physical labor-intensive roles is advantageous. OSHA Safety Training and a Commercial Driver’s License (CDL) may be beneficial for certain tasks or advancement opportunities.

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

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Sharjah, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Fujairah, United Arab Emirates; Malé, Maldives Our Client is a well-established Restaurant group running successful and award-winning restaurants in Dubai. Currently, they are looking for Bartenders to join their team in Dubai. Responsibilities Prepare alcohol or non-alcoholic beverages for bar and restaurant patrons Interact with customers, take orders, and serve snacks and drinks Assess customers’ needs and preferences and make recommendations Mix ingredients to prepare cocktails Plan and present bar menu Check customers’ identification and confirm it meets the legal drinking age Restock and replenish bar inventory and supplies Stay guest-focused and nurture an excellent guest experience Comply with all food and beverage regulations Requirements Proven working experience as a Bartender Excellent knowledge of mixing, garnishing, and serving drinks Computer literacy Knowledge of a second language is a plus Positive attitude and excellent communication skills Ability to keep the bar organized, stocked, and clean Relevant training certificate Benefits As per market standards.

Location: San Francisco, CA | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is hiring a Field Marketing Lead dedicated to the Public Sector Industry — one of the fastest-growing customer segments we serve, and one we believe will define how the next generation of AI-native companies adopts and builds with Claude. You will own the field marketing strategy and end-to-end execution for Public Sector audiences in the US, partnering closely with our Public Sector Sales teams. This is a builder role. Field Marketing at Anthropic is a small, scrappy team and the Public Sector is an area of growth for the business — there is no existing playbook for you to inherit. You will design the event calendar, build the integrated digital programs, develop the necessary partnerships, and create the playbooks that scale across our Public Sector motion. Responsibilities Develop and activate the US Public Sector field marketing strategy end-to-end — planning, calendar, execution, and measurement. Design and run public-sector-appropriate event formats — agency roundtables, mission-focused briefings, tech demo days, industry days, and executive breakfasts — that comply with government ethics and gift rules while building trusted relationships with program and procurement stakeholders Plan the field calendar around the government fiscal year — building demand programs that peak ahead of federal year-end (September 30) and state budget cycles, and capitalize on use-it-or-lose-it spending windows Own presence at anchor public sector events — from sponsorship strategy to speaker placement and on-site execution Build co-marketing programs with the public sector channel ecosystem — distributors, resellers, systems integrators, and contract-vehicle holders — including joint events, teaming-oriented content, and partner-sourced pipeline Partner closely with Public Sector Sales and BDRs on pre-event targeting, during-event engagement, and post-event follow-up to convert attention into pipeline Build operational playbooks (Demo Day activation kit, hackathon kit) that the Field Marketing team can scale across regions and segments Establish baseline metrics, dashboards, and ROI reporting for all Public Sector field programs Be the face of Anthropic in the Public Sector ecosystem — credible with strategic partners and agencies Minimum qualifications Direct Public Sector-segment experience — you have built and run programs targeting the Public Sector as your primary audience, not as an enterprise field marketer who occasionally touches Public Sector End-to-end ownership of field marketing events and programs, hands on in both strategy and execution - this is a 0-1 building role with very little foundation in place Repeat success across multiple companies — we are looking for a pattern of impact, scaling field or demand generation programs in different environments, not a single-company tour (however strong the brand) 0-to-1 builder DNA — you've built a field marketing motion from scratch (or rebuilt one), and you also have scaled-company tenure that grounds you operationally Tight sales alignment — you've worked shoulder-to-shoulder with AEs and BDRs on account targeting, pre-event outreach, and post-event follow-up Operational rigor — you can stand up vendor management, registration, follow-up workflows, and ROI dashboards without being asked Technical credibility — you can review technical event content, brief technical speakers, and hold your own with founder/CTO audiences Preferred qualifications 10+ years across Field Marketing, Demand Generation, ABM, and Events at B2B technology companies Experience working inside of a Public Sector organization that went through a rapid growth phase, or a blend of Public Sectors and scaled technology companies. AI/ML field marketing experience Existing relationships with public sector associations and research institutions Visible thought leadership in the Public Sector ecosystem or developer ecosystem Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or Washington, D.C. office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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 — $400,000 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.