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Location: Brazil Our client is a digital automotive marketplace that connects car buyers, sellers, and enthusiasts through a seamless online experience. Our platform features listings, reviews, and automotive content that helps users make informed decisions and engage with trusted dealers and brands. The Role We’re looking for a creative and detail-oriented Graphic Designer to bring our brand to life across all digital channels. You’ll collaborate with the marketing team to create visuals that enhance storytelling, strengthen campaigns, and maintain a consistent, high-quality visual identity across platforms. Key Responsibilities Design high-quality, on-brand visuals for social media (carousels, ad creatives, Reels covers, graphics). Create and refine brand assets that elevate messaging and storytelling. Develop and maintain design templates in Canva and Adobe Creative Suite for team use. Design visuals for HubSpot campaigns, including email banners and landing page graphics. Adapt designs for Instagram, LinkedIn, YouTube, and TikTok . Ensure all visuals follow brand guidelines (tone, typography, color palette, hierarchy). Organize and deliver final assets in proper formats ( JPEG, PNG, MP4, PDF ) with clear file naming. Collaborate via ClickUp, Google Drive, OneDrive, and Slack to manage deliverables and feedback. Requirements 3+ years of experience in graphic design for social media or digital marketing. Strong portfolio showcasing creative and brand-aligned designs. Advanced skills in Adobe Photoshop, Illustrator, and InDesign. Excellent command of Canva , including brand kit and template management. Familiarity with HubSpot for campaign visuals and email templates. Strong eye for composition, typography, spacing, and detail. Highly organized, dependable, and able to manage multiple projects. Fluent in English with strong communication skills. (Bonus) Experience with motion graphics or short-form video using After Effects or CapCut. Benefits Work From Home or anywhere Highly Competitive Compensation Work for the most exciting companies in the US Flexible Schedule Healthy Work-Life Balance

Location: Mexico Our client is a digital automotive marketplace that connects car buyers, sellers, and enthusiasts through a seamless online experience. Our platform features listings, reviews, and automotive content that helps users make informed decisions and engage with trusted dealers and brands. The Role We’re looking for a creative and detail-oriented Graphic Designer to bring our brand to life across all digital channels. You’ll collaborate with the marketing team to create visuals that enhance storytelling, strengthen campaigns, and maintain a consistent, high-quality visual identity across platforms. Key Responsibilities Design high-quality, on-brand visuals for social media (carousels, ad creatives, Reels covers, graphics). Create and refine brand assets that elevate messaging and storytelling. Develop and maintain design templates in Canva and Adobe Creative Suite for team use. Design visuals for HubSpot campaigns, including email banners and landing page graphics. Adapt designs for Instagram, LinkedIn, YouTube, and TikTok . Ensure all visuals follow brand guidelines (tone, typography, color palette, hierarchy). Organize and deliver final assets in proper formats ( JPEG, PNG, MP4, PDF ) with clear file naming. Collaborate via ClickUp, Google Drive, OneDrive, and Slack to manage deliverables and feedback. Requirements 3+ years of experience in graphic design for social media or digital marketing. Strong portfolio showcasing creative and brand-aligned designs. Advanced skills in Adobe Photoshop, Illustrator, and InDesign. Excellent command of Canva , including brand kit and template management. Familiarity with HubSpot for campaign visuals and email templates. Strong eye for composition, typography, spacing, and detail. Highly organized, dependable, and able to manage multiple projects. Fluent in English with strong communication skills. (Bonus) Experience with motion graphics or short-form video using After Effects or CapCut. Benefits Work From Home or anywhere Highly Competitive Compensation Work for the most exciting companies in the US Flexible Schedule Healthy Work-Life Balance

Location: Argentina Our client is a digital automotive marketplace that connects car buyers, sellers, and enthusiasts through a seamless online experience. Our platform features listings, reviews, and automotive content that helps users make informed decisions and engage with trusted dealers and brands. The Role We’re looking for a creative and detail-oriented Graphic Designer to bring our brand to life across all digital channels. You’ll collaborate with the marketing team to create visuals that enhance storytelling, strengthen campaigns, and maintain a consistent, high-quality visual identity across platforms. Key Responsibilities Design high-quality, on-brand visuals for social media (carousels, ad creatives, Reels covers, graphics). Create and refine brand assets that elevate messaging and storytelling. Develop and maintain design templates in Canva and Adobe Creative Suite for team use. Design visuals for HubSpot campaigns, including email banners and landing page graphics. Adapt designs for Instagram, LinkedIn, YouTube, and TikTok . Ensure all visuals follow brand guidelines (tone, typography, color palette, hierarchy). Organize and deliver final assets in proper formats ( JPEG, PNG, MP4, PDF ) with clear file naming. Collaborate via ClickUp, Google Drive, OneDrive, and Slack to manage deliverables and feedback. Requirements 3+ years of experience in graphic design for social media or digital marketing. Strong portfolio showcasing creative and brand-aligned designs. Advanced skills in Adobe Photoshop, Illustrator, and InDesign. Excellent command of Canva , including brand kit and template management. Familiarity with HubSpot for campaign visuals and email templates. Strong eye for composition, typography, spacing, and detail. Highly organized, dependable, and able to manage multiple projects. Fluent in English with strong communication skills. (Bonus) Experience with motion graphics or short-form video using After Effects or CapCut. Benefits Work From Home or anywhere Highly Competitive Compensation Work for the most exciting companies in the US Flexible Schedule Healthy Work-Life Balance

Location: Toronto; San Francisco; Canada; Seattle; London; United States; New York Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new evaluation techniques that accurately reflect what models are already capable of, as well as set the agenda for what future models should be capable of. In this role, you are responsible for creating these next-generation evaluation methods and infrastructure to measure LLM progress. Key Responsibilities: - Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish. - Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations. - Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency. - Build scalable and reusable tools for digging into model performance. Qualifications: - You enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and you have developed resources to measure those capabilities. - You have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality. - You are obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about. - You have strong software engineering skills. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: GB - United Kingdom QA Manager Scopely is looking for a QA Manager to lead Automation & Services QA for an ambitious, cross-platform Strategy/MMO title on PC and Mobile. You will lead a small Automation team using Nunu AI as its foundation , alongside Services QA, covering backend testing, environment setup, analytics, accounts and payments. This internal role owns QA across the Automation, Server Scalability, Build and Release, Web Admin Tools, and Cloud Operations Pods , partnering closely with Engineering, Production and the wider QA organisation. What You Will Do QA Leadership & Pod Ownership Lead and develop QA teams, aligning their work with project goals, quality standards and development priorities. Own QA planning and delivery across your pods, and communicate quality risks and trade-offs to stakeholders. Automation Strategy & Management Lead the automation strategy, roadmap and backlog, prioritizing by risk and ROI so Nunu AI delivers sustainable, high-value coverage. Integrate automation into build and release pipelines with Engineering, and keep manual testing where automation doesn’t fit. Services QA Management Own the QA approach for backend functionality, integrations, scalability and resilience, working with Engineering to make services testable and quality measurable. Cover accounts, authentication, payments, analytics pipelines and admin tools, plus load and disaster recovery testing. Environment & Release Readiness Ensure Services QA has reliable environments, including the Beta Environment, so backend changes are validated before deployment. Own release process testing and give go/no-go recommendations backed by clear evidence and risks. What We’re Looking For 6+ years of experience in Quality Assurance, software development or a related field. 3+ years of leadership experience managing QA teams or technical testing functions, and 2+ years leading testing initiatives across development and release cycles. Proven experience managing test automation, including strategy, backlog ownership, maintenance, delivery and measurable return on investment. Strong understanding of backend and API testing, service integrations, data validation and the risks associated with accounts, analytics and payments. Experience overseeing performance, load or scalability testing, and working with Engineering on service reliability and recovery testing. Working knowledge of test environments, cloud-hosted services, build and release pipelines, and deployment validation. Strong grounding in risk-based testing, defect management and QA tooling such as Jira, test management systems and reporting dashboards. Technical judgement to review testing and automation approaches, challenge assumptions and communicate effectively with engineers. Demonstrated ability to manage people, capacity, priorities and costs, with strong communication, stakeholder management and problem-solving skills. Experience supporting PC and Mobile releases and live-operation workflows, including patch validation, incident response and ongoing quality monitoring. Experience with AI-assisted test automation, particularly Nunu AI , would be an advantage. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. Currently, we are looking for an experienced Business Development Representative to join one of Toogeza’s clients. WHAT YOU’LL DO - Identify, research, and prospect HR Directors, People & Culture leaders, Employer Brand specialists, and C-level executives in target companies (200–2000+ employees). - Run outbound campaigns (LinkedIn, Apollo, email, events) while also managing and qualifying inbound leads. - Book and coordinate discovery calls, often joining early-stage conversations alongside the CEO. - Collaborate closely with marketing on messaging, campaigns, and nurturing sequences. - Track all activities in HubSpot CRM, ensuring accurate reporting on meetings, opportunities, and pipeline value. - Continuously test new outreach angles (e.g., employee engagement ROI, gamification, recognition culture) and share insights with the leadership team. - Support partnerships and ecosystem development when relevant (HR consultants, platforms, events). WHAT SUCCESS LOOKS LIKE - Consistent flow of qualified meetings and opportunities across geographies. - Growing pipeline value tracked in HubSpot. - Active collaboration with CEO to refine sales narratives and close early-stage deals. - Visible contribution to revenue growth from sourced opportunities. WHAT WE’RE LOOKING FOR - 1–3 years in business development, sales development, or lead generation (SaaS, HR tech, or B2B software a plus). - Strong English communication skills (written & verbal); additional languages (e.g., German, French, Spanish, Arabic) are a big plus. - Confident speaking with senior stakeholders — HRDs, CPOs, CEOs. - Metrics-driven and comfortable being accountable for meetings, pipeline creation, and conversion quality. - Entrepreneurial mindset: resourceful, proactive, and comfortable in a startup environment where you help shape the process. WHAT WE OFFER - Competitive base + commission package. - Direct collaboration with the CEO and founders — fast learning curve in B2B SaaS growth. - The opportunity to represent a one-of-a-kind product and shape how it’s introduced to global markets. - A chance to grow with an ambitious startup team, contributing to culture and success from the ground up. - Global exposure: work with clients and prospects across EU, US, and Middle East. - Career growth path into Account Executive or Partnerships roles. - Flexible, remote-first setup with a culture of ownership and impact.

Location: Saint Julian's, Malta Description We are seeking a highly organized, discreet, and proactive Personal Assistant to support our Chief Product Officer (CPO) in a dynamic, fast-paced B2B iGaming environment. The ideal candidate will act as the right hand to the CPO—handling daily operations, coordinating executive communications, managing travel and meetings, and providing high-level translation between Armenian and English . This trusted position requires excellent communication skills, professionalism, and the ability to navigate a high-performance, multicultural executive environment. Responsibilities Executive & Administrative Support Manage and maintain the CPO’s calendar, appointments, and daily schedule. Organize internal and external meetings, including agenda preparation, briefing materials, and minute taking. Handle confidential correspondence, reports, and communications on behalf of the CPO. Coordinate with internal teams (Product, Engineering, Design, Compliance, HR) to ensure priorities and action items are followed up. Maintain structured filing systems with version control and secure access to information. Travel & Event Coordination Organize complex international travel arrangements (flights, visas, accommodation, logistics). Accompany the CPO during business trips and events when needed, offering real-time administrative and translation support. Coordinate participation in conferences, exhibitions, and meetings with partners. Translation & Communication Provide professional interpretation and translation (Armenian ↔ English) of executive and sensitive information, both spoken and written. Support CPO during meetings with non-English-speaking stakeholders to ensure accurate and context-aware communication. Translate documents, emails, and presentations as required. Confidentiality & Professionalism Handle all company and personal information with the utmost discretion and integrity. Act as a trusted gatekeeper for requests and communications directed to the CPO. Operational & Project Support Assist in research, report writing, and preparation of strategic presentations. Track action points and ensure timely follow-ups across various projects. Coordinate with HR and Admin for team logistics, onboarding of new hires, and office activities in Malta. Requirements Proven experience as a Personal Assistant, Executive Assistant, or similar role in a fast-paced environment (iGaming or tech industry is a plus). Exceptional organizational and time-management skills. Excellent written and verbal communication in English and Armenian . Strong discretion and ability to handle confidential information with professionalism. Experience coordinating complex travel and events. High-level translation and interpretation capabilities, including business and technical language. Tech-savvy, with proficiency in office software (Google Workspace, MS Office) and document management tools. Flexibility to travel internationally as required. Ability to adapt quickly, prioritize tasks, and work independently.

Location: Canapville, France Turn your passion for luxury into a career opportunity. Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. • Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. • Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: 1. Choose your assignments - align your missions with your personal preferences and profile. 2. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. 3. Observe carefully - check the ambiance, service quality, and overall customer experience. 4. Provide honest feedback - use our platform to share your observations through questionnaires. Perks of the Role: • Collaborate with iconic brands across industries. • Flexible assignments tailored to your interests. • Compensation for your time and input, with the potential for reimbursement on purchases. • A user-friendly platform for managing missions and feedback. How to Join the CXG Community: 1. Register: sign up at live.cxg.com and confirm your email. 2. Complete your profile: fill out your details to 100% and get verified. 3. Get certified: pass the General Certification to access missions. 4. Apply for missions: explore assignments with brands that excite you. 5. Start evaluating: begin making a difference in the luxury market. Compensation: • Non-Purchase Evaluations: Earn a fee based on mission complexity. • Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live. On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Must be 18 years of age or older. Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers.

Location: Arizona Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team! The Opportunity: This role will be based in Queen Creek, AZ and act as a Technical and Operational Liaison between LGEUS PRI Organization and PRI's customer companies (ex: LG Energy Solution), LGEUS HQ and LGE PRI HQ at the US PRI's project site. Manage information flow for escalated service cases to proper LGEUS & HQ personnel to facilitate timely solutions and countermeasures in support of PRI's customer companies. Responsible for managing sensitive proprietary information including software, tools and technical documentation from the factory for dissemination to PRI's customer companies. Facilitate knowledge transfer sessions, create technical documents and provide relevant training. Attend regularly scheduled factory visits to manage specific matters face to face with appropriate personnel. Manage and attend factory site visits for PRI's customer companies jobsites with applicable HQ personnel. Support of PRI's customer companies via phone, email onsite visits to bring solutions to challenging site issues. Testing and verification of system solutions for all LG PRI equipment and controls, provide documentation and knowledge transfer of important discoveries of such testing. Aftermarket process development, implementation and improvement utilizing metrics to achieve efficiency and results improvements across internal and external channels. Manages day to day field operations of all Aftermarket Field Technical Specialists, provides expert level product knowledge, problem resolution and technical expertise and is responsible for training and mentoring of all team members. Coordinates all LGEUS & LGE PRI HQ technical knowledge sharing to facilitate timely resolution of field related issues. Operation and management of the PRI's project site, including equipment set-up and production, customer service, safety management, and general affairs. Manages day to day activities of PRI's customer companies. Utilizes advanced metrics to analyze, develop and implement process development. Manages expert level LGEUS/HQ technical knowledge share in resolving outstanding field issues and implementing field processes and procedures. Responsible for professional technical development of all field technical specialists. Provide guidance and advice as a technical subject matter expert to ensure Field Service issues are brought from inception to resolution. Serves as technical liaison between LGEUS PRI Organization and PRI's customer companies. Manage information flow and knowledge transfer sessions for PRI's customer companies. Able to understand, articulate, communicate and respond to detailed technical issues in a timely and concise manner. Maintain current functional and technical knowledge of LGEUS PRI Organization supply battery manufacturing machines and parts for electric vehicles. Provide expert level Product Support to internal and external customers by researching and providing solutions to challenging field service issues. Manages Installation & Service Manual Validation Process– Verification of manuals via testing in Quality/Training Lab to improve literature for internal and external technical specialists. Coordinate with Technical Writing team to insure PRI's customer companies are complete, consistent, concise and unambiguous. Accompany PRI's customer companies factory engineers in field visits to resolve escalated field technical issues. Perform testing and evaluates equipment and controls solutions in LGEUS PRI Organization and document findings in distributable format for internal and external customers. Perform EV battery machine set-up with LGEUS PRI & technical team engineers and partners. Communicate directly with PRI's customer companies' production department to coordinate preventive maintenance and troubleshooting in the production area. Daily Production Data Analysis and Report Preparation. Preparation of documents related to CS operation and facility maintenance after facility AT, and initial response in case of issue. PRIX & PRIX-US, manages the personnel of partner companies and shares equipment status and issues. Maintain records of all preventive maintenance and troubleshooting tasks. Qualifications: Bachelors Degree with 5+ years experience in the automation field or in a technical support role or in site management including operation and safety. Bilingual in English and Korean. Excellent communication skills and interpersonal skills to interact effectively with diverse client group. Ability to troubleshoot in depth service issues via phone and onsite. Ability to read, analyze and interpret technical business periodicals, professional journals and technical procedures. Ability to write reports and business correspondence. Ability to read and edit technical drawings/prints. Ability to effectively present information and respond to questions from management, clients and customers. Ability to work in a technically dominated environment: engineering, contracting and construction trades and able to absorb and commit technical information to knowledge quickly. Ability to anticipate and solve practical problems and resolve issues. Self-starter with the ability to work both independently and within a team. Ability to effectively communicate ideas and properly describe problems and solutions. Ability to effectively handle multiple tasks. Well-developed planning, organization, analytical, and decision making skills. Proficient computer skills, such as Excel and PowerPoint. Ability to produce clear, timely and concise documentation and have well developed problem solving skills. #LI-DR1 Recruiting Range $90,000 — $120,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Washington, DC Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team! The Opportunity: As a member of LG’s Government Affairs team, the Policy Analyst will assist with the implementation of LG’s legislative and regulatory agenda. The Policy Analyst will support LG’s advocacy initiatives at the local, state, and federal levels to enhance LG’s policy priorities. This position may require registration as a federal lobbyist. Work cross-functionally to assist in the development of a legislative and regulatory policy agenda that will foster an environment for business growth and the LG Way. Identify business opportunities and risks stemming from pending legislative, regulatory, and related initiatives at the federal, state, and local levels. Contribute to the development and execution of advocacy strategies on key policy matters. Engage with trade associations and consultants to apprise business leaders of public policy developments relevant to LG. Assist in drafting policy-related briefing materials, including memos and PowerPoint presentations. Own and drive priorities within his or her portfolio. Represent LG at industry events as necessary. Complete other duties as assigned. Qualifications: Bachelor’s degree required. Minimum of 3 years of Capitol Hill, executive branch, or previous government relations experience (Trade Association, Corporate, or Non-profit). Must be able to speak, read, and write fluently in English and Korean. Strong interpersonal, communication and writing skills. A deep understanding of the legislative and political process with experience in energy, trade, tax and other relevant issue areas. Experience working with trade associations, industry groups, and coalitions. Excel and PowerPoint skills required. Excellent writing capability (i.e. briefing documents, reports, policy analysis). #LI-DR1 Recruiting Range $70,000 — $90,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

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 Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Minimum qualifications Proficiency in Python and experience working in, debugging, and improving a large ML codebase Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it Experience with at least one modern ML framework (JAX, PyTorch, or similar) Ability to design controlled experiments and reach conclusions you and others can trust Ability to balance research exploration with engineering implementation Strong written and verbal communication skills Care about the societal impacts of your work and are committed to developing safe and beneficial systems Preferred qualifications Experience with reinforcement learning for large language models, in research, production, or both Experience studying training at scale: scaling behavior, training dynamics, or method development on large models Experience with large-scale distributed training systems Familiarity with LLM architectures and training methodologies Experience working close to a frontier training run Experience profiling and optimizing the performance of ML workloads Experience with RL environments, evaluations, or sandboxed code execution Experience with Rust or C++ Enjoy pair programming (we love to pair!) 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: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in at least one programming language such as Python, Java, etc. Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; New York City, NY | Seattle, WA; San Francisco, CA 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. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. We may also put up separate, team-specific job postings . In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings! You may be a good fit if you: Have significant software engineering experience Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems GPUs, Kubernetes, Pytorch, or OS internals Language modeling with transformers Reinforcement learning Large-scale ETL Representative projects: Optimizing the throughput of a new attention mechanism Comparing the compute efficiency of two Transformer variants Making a Wikipedia dataset in a format models can easily consume Scaling a distributed training job to thousands of GPUs Writing a design doc for fault tolerance strategies Creating an interactive visualization of attention between tokens in a language model 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Commercial Account Executive at Ramp, you are a proven hunter & sales closer with a track record of quota attainment and overachievement. We believe strongly in our value proposition of aligning incentives with our customers and you will bring it to life through the sales process with C-Level executives and key decision makers. As a member of the team, you will also have the opportunity to help build the sales engine and define the sales strategy that fuels the growth of the company! WHAT YOU’LL DO - Drive revenue for Ramp, owning the entire sales cycle through close - Develop strategies for closing opportunities within your assigned territory - Leverage sales methodologies to uncover customer needs and pain points - Articulate Ramp’s value proposition by using the appropriate sales qualification standards - Own sales activity and monthly revenue forecasting in Salesforce - Collaborate with product, design, and engineering teams to incorporate customer feedback WHAT YOU'LL NEED - Minimum 2 years of quota-carrying direct SaaS sales experience in a full cycle closing role with strong prospecting, qualifying, negotiating, and closing skills - Experience closing 10-15 deals a month with an average deal size of 30K in ACV - Ability to discuss Ramp's value proposition with C-level executives, finance teams, and decision makers - Experience with outbound prospecting and conducting product demonstrations - Consultative sales approach and comfortable leveraging analytical & quantitative skills - Consistent track record of hitting or exceeding sales targets in a fast-paced environment - High adaptability and understanding of change within the evolution of a startup - Excellent verbal and written communication skills NICE TO HAVES - Experience selling financial services BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Lisbon, Portugal Workplace: none David Kennedy Recruitment is working with a fast-growing customer experience company that is seeking to onboard Dutch-speaking Level 1 Technical Support Specialists to join their eMobility team in Lisbon. In this role, you provide first-line technical support to customers experiencing issues with electric vehicle charging stations, carrying out basic diagnostics, troubleshooting and escalation of more complex cases. Position: Technical Support Specialist Location: Lisbon, Portugal Model: Hybrid Employment type: Full-time DUTIES AND RESPONSIBILITIES: Respond to customer enquiries via phone, email and chat regarding EV charger functionality, connectivity and usage Perform initial diagnostics covering power status, network connectivity and user interface issues Guide customers through standard troubleshooting steps, including resets, cable inspections and mobile app configuration Escalate unresolved or complex issues to Tier 2 support or field service teams Document technical findings and customer interactions accurately in the ticketing system Prioritise cases according to SLAs, warranty status and issue severity Monitor recurring technical issues and contribute to trend analysis and product reliability improvements Maintain up-to-date knowledge of EV charger models, firmware updates and support procedures Contribute to knowledge management and continuous improvement initiatives Follow safety and operational standards during remote support interactions REQUIREMENTS: Native-level Dutch Proficiency in English Previous experience in a customer-facing technical support role, preferably in a call centre or eMobility environment Basic understanding of electrical systems, IoT devices and network troubleshooting, including Wi-Fi, Ethernet and SIM-based connectivity Ability to explain technical concepts clearly to non-technical users Experience using CRM and ticketing systems Comfortable working across different support channels, including voice, chat, email and back office Willingness to work in a 24/7 shift-based environment, including weekends and holidays Residence in the Lisbon area Availability to work in a hybrid setup OFFER: Meal allowance Monthly transport allowance 22 days of annual leave Birthday day off 1-month probation period Company-provided equipment Hybrid working model Evening and weekend shifts can be worked from home

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 We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry Have proficiency in Python and experience building ML systems Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems Are worried about misuse risks of AI systems, and want to work to mitigate them Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with Language modeling and transformers Building classifiers, anomaly detection systems, or behavioral ML Adversarial machine learning or red-teaming Interpretability or probes Reinforcement learning High-performance, large-scale ML 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Senior Product Operations Manager at Harvey, you will be the connective tissue between Product, Engineering, and Go-to-Market teams — turning strategy into execution across our entire product lifecycle. You'll build and scale the operating systems that help our product teams make better decisions, ship with confidence, and drive measurable impact for law firms and in-house legal teams pushing the frontier of AI adoption. You'll work as an extension of product leadership, balancing hands-on execution with strategic initiatives. This is a role for someone who builds from 0 to 1, thrives in ambiguity, and creates structure where none exists. WHAT YOU’LL DO - Inputs to Product Teams — Ensuring teams have the information they need to make great decisions - Build and maintain Voice of Customer systems that synthesize feedback from law firm partners, in-house clients, CSMs, and sales into actionable product signals - Establish rigorous mechanisms for measuring product success and user impact, including analytics dashboards, KPIs, and clear hypotheses - Create high-leverage engagement points with customers and partners throughout the product lifecycle — from alpha through post-GA - Streamline key decision points across teams, reducing friction and improving prioritization quality Ops of the Product Org — Creating the operating systems that enable product teams to thrive - Own and improve core product development processes, tooling, and team rituals (planning cycles, monthly reviews, roadmap prioritization, etc.) - Build reliable run-of-business systems that scale as Harvey grows — launch calendars, intake frameworks, RACI structures - Drive cross-functional alignment between Product, Engineering, Marketing, Sales, and Customer Success - Facilitate roadmap planning by coordinating stakeholder inputs and maintaining transparency across the org Outputs from Product Teams — Amplifying product impact by connecting what we build to those who need it - Design and run Early Access Programs and alpha testing programs that validate product-market fit and surface refinement signals before broad release - Own launch coordination end-to-end — ensuring timely, high-confidence rollouts with clear success metrics and post-launch monitoring - Maintain cross-team roadmap visibility that keeps GTM, Legal, and leadership aligned on what's shipping and why - Make it clear across Harvey what Product is building, how it's progressing, and what's coming next. WHAT YOU HAVE - 5+ years in Product Operations, Product Management, or a closely related operational role at a high growth tech or SaaS company - You've built processes and programs from scratch and scaled them thoughtfully — not just inherited and maintained them - Experience working with AI-native products, ideally in a domain where model quality and output reliability are central to the user experience - Strong ability to translate complex qualitative and quantitative data — usage metrics, feedback themes, retention signals — into clear recommendations and roadmap inputs - Proven ability to drive alignment across Product, GTM, and Engineering without direct authority - Hands-on experience with launch coordination, EAPs, or customer feedback loops in a fast-moving product environment - You're a natural bridge builder: fluent in strategy, comfortable in the weeds, and skilled at creating clarity where none exists. Ambiguity doesn't slow you down — it's where you do your best work. COMPENSATION RANGE $150,000 to $250,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW At Harvey, we’re transforming how legal and professional services operate – not incrementally, but end-to end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. As we scale, our Enterprise Product organization sits at the center of this mission — connecting the systems our customers use, and scaling into new customer segments & verticals. We’re looking for a Product Manager with a strong technical foundation and the ability to own and solve complex product and commercial challenges end-to-end. This person will focus on building out integrations with strategic partners and vendors as well as enable search over data source using MCP’s and deep research. You will help architect systems to bring legal context into Harvey and also work with our Partnerships org and internal teams to prioritize which ones to build. This role is equal parts product intuition and technical execution. You’ll be trusted to make fast, high-quality decisions, ship impactful features, work on the cutting edge of applied AI and grow a team that embodies engineering excellence We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you. This role is based in San Francisco, CA. We use an in-person work model (3 days a week) and offer relocation assistance to new employees. WHAT YOU'LL DO - Lead the end-to-end product lifecycle, from ideation and strategy to execution and launch - Collaborate closely with engineering and partnerships team to identify and execute on high-impact integrations - Work closely with engineers to build, platformize and scale integrations, working cross functionally with adjacent teams - Expand the breadth and depth of integrations into the Harvey platform - Collaborate cross-functionally with Product Engineering, Applied AI, Research, and Platform teams to deliver high-quality production systems that support reasoning, summarization, and legal research workflows. WHAT YOU HAVE - 5+ years of experience building enterprise products in a B2B/commercial environment - Experience working on Integrations and partnering with cross functional and Partnerships teams - Experience with or knowledge of AI and LLMs - Ability to partner with engineers on technical architecture, with enough depth to challenge assumptions, propose solutions, and influence design. - Ability to navigate extreme ambiguity to deliver outcomes - A product mindset for balancing user needs, domain complexity, and system constraints to propose high-leverage improvements. COMPENSATION RANGE $215,000 - $300,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-ML1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai