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Location: Istanbul Workplace: onsite Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5,000 specialists.   In Türkiye we are not only represented as a global brand, but also as a local manufacturer. Our facility covers over 8,000 m² and produces millions of devices, representing a full range of Ajax products.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Responsibilities: Business Analysis & Process Design: Elicit, analyze, and formalize business requirements for warehouse logistics; design and document AS-IS and TO-BE processes. SAP EWM Configuration: Set up and maintain warehouse structures, storage types, storage bins, warehouse tasks/orders. RF & Mobile Operations & Scales: Configure and optimize Radio Frequency (RF) framework processes and mobile scanner workflows on the warehouse floor, manage resources. Master Data & Migration: Manage warehouse and product master data, prepare data migration templates, and oversee data load validation. Integration & Cross-Module Alignment: Ensure seamless integration between SAP EWM and connected modules/systems (S/4HANA, MM, SD, TM (ASR), MSF (DMC), manufacturing/shop-floor systems). Technical Collaboration: Author functional specifications and user stories for ABAP developers (enhancements, BAdIs, custom logic), write FDS and validate technical deliverables. Testing & Quality Assurance: Be an owner of a warehouse BPMN processes, be able to design test scenarios, execute integration testing, facilitate User Acceptance Testing (UAT), and manage defect resolution. Implementation & Hypercare: Drive EWM deployment phases: customizing, cutover readiness, go-live support, and hypercare. User Enablement & Support: Create user manuals, SOPs, and training materials; conduct training sessions for warehouse key users and operational teams. Good understanding ABAP - debugging/reading skills. Requirements: Experience: 4+ years of hands-on experience as an SAP EWM Consultant in implementation or warehouse automation projects. Domain Knowledge: Deep understanding of core warehouse processes: Inbound, Putaway, Picking, Packing, Outbound, Internal Movements, and Physical Inventory. System Expertise: Proven experience configuring SAP EWM structures, strategies, and RF mobile transactions. Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, Supply Chain, Economics, or related fields. Language Proficiency: Upper-Intermediate or higher English proficiency (spoken and written) for cross-functional communication with international teams; fluent Turkish. Soft Skills: Strong analytical mindset, proactive problem solver, and excellent stakeholder management skills. Join Ajax Systems!

Location: India Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a highly motivated, self-starter Account Executive based in India who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of new high value enterprise accounts in the Customer Experience and Conversational AI Experiences spaces to help ElevenLabs meet its revenue goals. - Identify new business opportunities in that align with ElevenLabs’ product offering and roadmap. - Generate leads, negotiate contracts and close sales in collaboration with the Growth team. - Develop and maintain a deep understanding of the Conversational AI industry - Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. WHO YOU ARE We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. WHAT YOU BRING - Builds plan to quota in first sales and upsells out of NAL - Experience in building a new category, company, product in a space with previously no penetration - Extensive experience in value selling a technology product, preferably in Customer Experience and Customer engagement to clients with a global footprint - Generate self-led pipeline in target list of accounts - Network and experience in the IN CX, Support and BPO industry and has sold to CXOs - Close deals and manage customer onboarding/delight - Showed previous ownership for all aspects of the customer lifecycle including onboarding, and support - Evidence of farming accounts to deliver multi-X growth - Worked at a Top tier growth company where there is a keen understanding of sales process and high degree of ownership - Drive initiatives that improve ElevenLabs consideration - Has performed sales development activities such as campaigns, events, partnerships that drive ElevenLabs consideration with customers - Self Starter - Analytical skills and proficiency with spreadsheets - Proficiency in creating compelling presentations and demos - Market Insight: Deep knowledge of the IN CX, Support and BPO industry - Proficiency in English - Plus: Network in the relevant SIs/consults LOCATION: BENGALURU OR MUMBAI #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Barcelona, Spain Workplace: hybrid ⛵ About our Crew Click&Boat is a rental platform product of Boats Group, the fastest-growing digital business in the recreational boating space. We are a talented team of techies, creatives, marketers, closers and customer advocates who spend each day pushing the boundaries of technology to make buying, selling & renting boats easy. We spend each day surrounded by 500,000 boats from across the globe! Click&Boat is the European leader in boat rentals . Our marketplace makes boating accessible around the world, from a day trip to a week-long adventure, while enabling private and professional boat owners to generate additional income through rentals. To support this growth, we are hiring a Customer Experience Agent to join a dynamic team in our Barcelona office and continue building a world-class, creative organization by finding the best talent for our incredible culture. 🚤 The role In Click&Boat, there are 3 main operational Business Units : Supply: deals with boat owners and make sure the boats available on our platform generate revenues with the highest quality of service. Sales: deals with tenants and supports them all along a booking process, from quotations to closing the deal. Customer Care: represents the point of contact for our customers after a booking is closed by the Sales team (before, during and after the trip), and makes the link between boat owners and tenants (booking modification or cancellation, insurance or accident issues, etc). As Customer Experience, you will integrate the Customer Care crew and will play a key part in supporting our users , and collaborating closely with the Finance, Sales and Supply crew members across teams to deliver a high-quality work. If you're excited about marketplaces, digital business and dynamic environments, you might be exactly who we’re looking for. 🛟 What floats your boat As a central part of our day-to-day operations, your main mission will be to handle customer interactions efficiently , managing service-related issues, complaints, and claims between boat owners and renters. While your work will focus on r esolving tickets and ensuring smooth communication, you will also contribute to maintaining our service quality standards and supporting seasonal team members during the high season. Operations (80%) Low season (October - March) Manage incoming inquiries from boat owners and renters via tickets and phone calls . Provide accurate and timely responses , ensuring issues are properly documented and resolved. Handle routine requests , updates, and follow-ups to maintain a high level of customer satisfaction. High season (April - September) Act as an escalation point for complex or urgent cases , managing communication via email (80%) and phone (20%) . Mediate disputes between boat owners and renters, investigating claims and negotiating fair solutions in line with Click&Boat’s terms and conditions . Manage critical cases such as last-minute cancellations, service complaints, or boat damage , ensuring efficient resolution and clear communication between all parties. Report recurring issues or feedback to help improve our internal processes and overall service quality. Internal process analysis and update (10%) Prepare for high-season operations by coordinating seasonal staff training, onboarding, and analyzing end-of-season KPIs to enhance future processes. Identify opportunities for product and process improvements , creating reports on user feedback and system bugs to support development teams. Collaborate with cross-functional teams to optimize workflows and contribute to the global mission of reducing contact ratios and improving response times Contribute to seasonal operations by helping prepare training materials, supporting onboarding sessions, and assisting temporary staff during the high season Coaching and Quality Review (10%) During high season (April-September), guide and support seasonal employees, conducting quality reviews and leading training sessions to uphold service excellence 🧭 What you bring aboard We’re seeking motivated, detail-oriented team players with a passion for problem-solving and a knack for delivering excellent service. Language Skills: Bilingual in French and fluent in English. Customer Experience: 1+ years of previous experience in customer-facing roles is required, handling legal complaints and complex users conflicts. Solution-Oriented: Comfortable handling challenging situations and finding creative resolutions. Time Management Skills: Demonstrated ability to prioritize tasks effectively, meet deadlines, and handle multiple responsibilities in a fast-paced environment. Organized and Flexible: Thrives in a dynamic environment, especially during high-season periods with weekend shifts. Process-oriented and methodical: enjoys following structured workflows and continuously improving efficiency in daily operations. Queue management mindset: takes satisfaction in maintaining a clean, organized ticket queue and ensuring no requests remain unresolved 🌊 Bonus points (great to have, never a dealbreaker) Language skills: Any other language spoken from our markets is a plus (Spanish/Italian/German). Passion for Boating: An interest in boating or a connection to our industry is a bonus! 🗺 The hiring journey Intro call with Talent Acquisition Case Study Interview with your future manager Interview with the Head of Customer Care We aim to keep things smooth, transparent, and respectful of your time throughout the process. What awaits you aboard 🚀 A fast-growing international company with real impact; 💻 Remote work policy: 1 day per week, depending on periods of the year and seniority; 🌴 5 additional days off; 📖 Extensive internal training; 🥪 Lunch vouchers (Cobee); 💪 Gym partnerships (Wellhub); 🚤 Boat licence offered and exclusive discounts on your next boat trips; 🥐 Breakfast every Tuesday morning; 🌊 A welcoming office in Barcelona, next to the centrally located Cathedral and just a 20-minute walk from the sea; 🎉 Team-building activities. Contract: Full-time, permanent. 🪝 Ready to join? If this opportunity sounds like your next adventure, hit the “apply to this job” bottom. Remember, even if you don’t meet every requirement, you might still be a great match for us! And yes, we’re especially talking to women here: science says that you are less likely to apply if you don’t meet them all. So go for it, we’d love to hear from you. At Click&Boat, every application is reviewed with equal care and attention, regardless of age, gender, origin, disability, religion, sexual orientation, or any other characteristic. We hire for talent, drive, and mindset. The sea is open to all. 🌊

Высшее техническое образование по специальности. Стаж работы в должности инженера АСУТП на производстве не менее 5 лет.

Location: Tokyo Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. How you'll make an impact - Provide technical support to merchants during their implementation of Checkout.com http://Checkout.com payment processing technology - Answer all merchants’ integration related questions, including but not limited to configuration, debugging, documentation, testing, go-live support, and post-live support - Manage incidents as related to the integration (investigation, troubleshooting, escalation, resolution, reporting, time tracking and analysis of incidents) - Collaborate and partner with internal teams such as Merchant Configuration, Sales, Account Managers, and Merchant Care, to resolve issues during customer trials, integrations, or post-implementation support - Interact with the Product teams to pinpoint improvement ideas - Advise Manager on issues which impact customer satisfaction and provide recommendations for appropriate actions - Ability to multitask with multiple projects and integrations of customers - Maintain/update existing libraries/plugins used in integrations Qualifications - 5+ years of development or technical support experience in a Tech/FinTech company - Have payments experience would be advantageous - Understanding of API, REST, webhooks and logs is required - Strong coding skills in at least one of these languages: Java, Javascripts, PHP, Python, Go, C# - Experience with Node.js, React is a plus - Knowledge in iOS/Android is a plus - Excellent communication skills, ability to build and maintain strong relationships - Ability to work in a customer-focused and target-driven environment - Good in speaking and writing in both English and Japanese Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is rapidly building the leading ecosystem of generative models, bringing the best models from AI labs around the world to our users alongside our own. We are looking for an IC to source, activate, and scale relationships across Runway's growing portfolio of model partners. This is a role for someone who wants to own whatever needs owning, take new models from first conversation to launch, and write the playbook where none exists yet. You will work closely across Engineering, Product, Legal, Finance, and Marketing. WHAT YOU'LL DO - Own a broad portfolio of model partners end to end, across modalities - Track the model landscape relentlessly: spot new labs and releases early and bring the strongest ones to the team as candidates for integration - Take new partners from zero to launched: source, structure and negotiate commercial terms, then close with Legal and Finance - Be the partner's main point of contact through launch, working closely with our engineering team - Build deep, trusted relationships with founders, BD leads and research teams at our partners, and turn those relationships into early access, better terms and joint launches - Run the portfolio with rigor: set check-in cadences, monitor relationship health, and spot and escalate risk early - Track usage, spend and margin by partner and model, and use that data to decide where to invest, renegotiate or step back - Partner with Marketing and our partners on co-marketing for model launches - Build the frameworks and tools that let the function scale as the ecosystem grows WHAT YOU'LL NEED - 5+ years of experience across some combination of partnerships, business development, GTM, consulting, or founding/operating, with a track record of having owned outcomes end to end - Experience negotiating commercial agreements, ideally usage-based, API or platform deals - Genuine obsession with generative AI: you know the labs, you try new models the day they ship, and you have opinions on what makes one good - Demonstrated range: you've done the deal and the integration and the launch - High technical aptitude for understanding complex technologies, tools, systems, and issues - Strong analytical capabilities, with the ability to turn usage and spend data into a clear recommendation - Ability to manage many relationships and priorities at once in a fast-paced environment without dropping threads - Clear, concise communication, from a startup founder to a big-lab partnerships team to a Runway engineer in the same day - A strong bias towards action and belief that no task is too small for you - Highly resourceful, with the ability to create structure and work autonomously amid ambiguity - New York-based preferred Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Paphos, Cyprus We are looking for a Project Manager Assistant to support the delivery of low-voltage and smart building systems in commercial real estate projects. This is an entry-level position with a clear growth path towards Project Manager . You will work alongside experienced engineers, project managers, and gain practical experience across all project stages. Responsibilities Support project planning and coordination activities Assist in communication with contractors, suppliers, and internal teams Prepare and maintain basic project documentation Track tasks, timelines, and project progress Participate in site visits and technical meetings Use digital tools to manage and report project activities Requirements Technical education or background (engineering, electrical, IT, automation preferred) Strong interest in engineering projects and smart buildings Organized, detail-oriented, and proactive mindset Good communication and teamwork skills Willingness to learn and develop professionally Confident English (spoken and written) Experience with MS Office (Word, Excel, PowerPoint) Basic knowledge of AutoCAD or similar CAD software Good communication and teamwork skills Nice to Have Internship or junior experience in construction or engineering Ability to read technical drawings Basic understanding of low-voltage or IT systems Additional languages such as Russian or Greek are a plus We offer: To be part of a professional international team Opportunity for growth and development Competitive salary 21 days paid vacation days per year 40 working hours paid sick leave days per year Public holiday in accordance with the Cyprus Public Holiday list Interested candidates are requested to send their CV quoting the above job title to the following email address: hr_cyprus@inex-group.com . All applications will be treated in strict confidence and in compliance with GDPR and our privacy policy.

Location: Indianapolis, United States; Ohio City, United States; Chicago, United States Description Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Role purpose Lead the development and application of digital twins to improve clinical trial design and support evidence-based clinical development decisions. The role prioritizes digital-twin, simulation, and AI/ML expertise, supported by clinical-development experience and close partnership with trial-design experts. Position overview You will join a multidisciplinary clinical development environment and partner with clinical scientists, physicians, biostatisticians, pharmacometricians, biomarker experts, data scientists, data engineers, and other stakeholders. You will translate clinical development questions into quantitative strategies and deliver  interpretable analyses that inform protocol design, patient selection, endpoint strategy, dosing, operational planning, and decision-making under uncertainty. The role prioritizes digital twins as the primary capability for simulating patients, disease trajectories, treatment response, and clinical trials. The successful candidate will bring strong digital-twin, simulation, and AI/ML expertise, along with sufficient clinical-development knowledge to work effectively with trial teams. Deeper trial-design expertise can be developed through close collaboration with clinical scientists, biostatisticians, and pharmacometricians. Key responsibilities Digital-twin development and validation ·   Lead the design, development, and evaluation of digital twins of patients, disease trajectories, treatment response, or clinical trials using clinical trial and relevant external data. ·   Combine mechanistic, statistical, causal, and machine learning approaches to create fit-for-purpose digital twins that can be simulated under alternative populations, interventions, dosing strategies, endpoints, or trial designs. ·   Define use cases and contexts of use with clinical and quantitative experts so each digital twin addresses a specific trial-design or development decision. ·   Assess calibration, validation, robustness, transportability, uncertainty, and practical relevance using appropriate internal and external evaluation strategies. ·   Develop reproducible workflows and reusable digital-twin components that can be applied across programs or therapeutic areas. Clinical trial design and quantitative decision support ·   Partner with trial teams to frame development questions and evaluate design options, including target populations, eligibility criteria, enrichment strategies, comparators, endpoints, visit schedules, dosing strategies, and operational tradeoffs. ·   Use digital twins and complementary simulation methods to compare plausible scenarios, characterize uncertainty, and support model-informed decision-making. ·   Work closely with statisticians and pharmacometricians so analyses complement established trial-design methods and align with clinical and regulatory objectives. ·   Communicate assumptions, limitations, and decision-relevant insights clearly to technical and non-technical stakeholders. Data integration and scientific collaboration ·   Analyze and integrate clinical trial data and, where relevant, biomarkers, imaging, digital health data, omics, patient-reported outcomes, and real-world data. ·   Partner with data engineering and platform teams to create analysis-ready datasets, data-quality checks, lineage, and reproducible pipelines. ·   Contribute to scientific documentation, presentations, publications, and responsible adoption of digital-twin methods across clinical development. Model quality and responsible use ·   Define the intended use, decision context, success criteria, and limitations of each model before development. ·   Ensure models are interpretable, auditable, reproducible, and supported by evidence appropriate to their intended use. ·   Apply appropriate governance, privacy, security, and scientific-review requirements for clinical data and analytical outputs. ·   Clearly distinguish exploratory analyses from validated decision-support evidence and avoid overclaiming model capability. Requirements ·   PhD in data science, statistics, biostatistics, pharmacometrics, computer science, biomedical informatics, engineering, mathematics, operations research, or a related quantitative field. ·   Demonstrated experience developing digital twins, virtual patients, disease-progression models, clinical trial simulations, synthetic controls, or closely related computational models. ·   Strong experience applying machine learning, statistical modeling, causal inference, or simulation to biomedical, healthcare, pharmaceutical, or other complex scientific data. ·   Strong programming skills in Python, R, or a comparable analytical language, with experience using version-controlled and reproducible workflows. ·   Sufficient clinical-development knowledge to frame relevant questions and collaborate effectively with clinical and quantitative trial experts. ·   Ability and interest to deepen clinical trial-design knowledge through partnership with clinical scientists, biostatisticians, and pharmacometricians. ·   Strong written and verbal communication skills and demonstrated effectiveness in cross-functional scientific collaboration. Preferred qualifications ·   Strongly preferred: experience supporting clinical trial design, protocol development, clinical development strategy, model-informed drug development, or regulatory-facing quantitative evidence. ·   Familiarity with one or more trial-design topics, such as endpoint strategy, sample size or power assumptions, patient selection or enrichment, longitudinal outcomes, missing data, adaptive designs, or decision criteria. ·   Knowledge of digital-twin architecture and validation, supported by expertise in causal inference, Bayesian modeling, survival analysis, longitudinal modeling, clinical trial simulation, or synthetic controls. ·   Experience with clinical data standards and common clinical-development data sources. ·   Experience with biomarker, imaging, omics, digital health, or real-world data and integration of multiple data modalities. ·   Experience with scalable cloud-based analytical environments. ·   Track record of translating analytical work into decisions, reusable capabilities, publications, presentations, or other measurable scientific impact.

Location: United States About the Role Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Inpatient Medical Coding Specialist with an active CCS or CIC credential to contribute to a project focused on improving the accuracy and clinical understanding of advanced AI systems. You will review and annotate inpatient medical records, assign and validate ICD-10-CM and ICD-10-PCS codes, determine principal and secondary diagnoses, and verify MS-DRG assignments. You will apply official inpatient coding guidelines, identify documentation gaps, and provide expert feedback on complex coding cases. The ideal candidate has hands-on inpatient coding experience, strong knowledge of UHDDS, POA indicators, CC/MCC classification, and current coding standards, and exceptional attention to detail. Prior AI experience is not required. SENIORITY: Experienced / Specialist LANGUAGE: Strong written and verbal English LOCATION: Remote — United States Key Responsibilities Annotate and review inpatient medical records, including admission notes, progress notes, operative reports, consultations, laboratory and imaging results, and discharge summaries. Assign accurate ICD-10-CM and ICD-10-PCS codes based on clinical documentation and applicable coding guidelines. Identify principal and secondary diagnoses and sequence codes according to official inpatient coding conventions. Assign Present on Admission (POA) indicators and validate MS-DRG assignments, including the identification of Complications or Comorbidities (CCs) and Major Complications or Comorbidities (MCCs). Apply UHDDS definitions, ICD-10-CM/PCS Official Guidelines for Coding and Reporting, and relevant AHA Coding Clinic guidance. Identify hospital-acquired conditions (HACs), patient safety indicators, and documentation inconsistencies where applicable. Collaborate with project stakeholders to clarify coding requirements, resolve documentation ambiguities, and maintain data integrity. Provide structured feedback on coding guidelines, complex cases, and recurring errors to support workflow improvements and AI model training. Ensure all coding annotations are accurate, complete, consistent, and aligned with current coding standards. Requirements Active AHIMA Certified Coding Specialist (CCS) or AAPC Certified Inpatient Coder (CIC) credential. Hands-on experience with inpatient medical coding. Strong knowledge of ICD-10-CM, ICD-10-PCS, and MS-DRG methodology. Understanding of principal diagnosis selection, secondary diagnosis reporting, code sequencing, POA indicators, CC/MCC classification, and applicable inpatient coding guidelines. Experience reviewing clinical documentation and resolving complex coding challenges. Strong written and verbal communication skills. Excellent attention to detail and the ability to apply coding rules consistently. Access to current ICD-10-CM/PCS code sets, official coding guidelines, and appropriate MS-DRG grouper tools.

Location: United States; Canada; United Kingdom; Australia; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a Chemistry and Computational Research Specialistwith doctoral-level expertise to contribute to projects focused on training and benchmarking next-generation AI systems. You will design and evaluate chemistry problems, validate scientific reasoning, analyze experimental and computational data, and assess AI-generated research outputs for accuracy and reproducibility. Depending on your specialization, you may work with reaction mechanisms, synthesis planning, spectroscopy, molecular simulations, electronic structure calculations, or cheminformatics. The ideal candidate combines deep chemistry knowledge with hands-on laboratory or computational research experience, strong quantitative reasoning, and the ability to communicate complex scientific findings clearly. Prior AI experience is not required. SENIORITY: PhD-Level Research Specialist LANGUAGE: Professional English — C1 or higher TARGET LOCATIONS: US and Canada are our top priorities, followed by the UK, Australia, and NZ. We’re open to candidates worldwide as long as they meet the C1 English level. Key Responsibilities Design, evaluate, and critique chemistry problems, computational workflows, and scientific reasoning chains for AI benchmarking initiatives. Assess chemical reasoning involving reaction mechanisms, synthesis planning, retrosynthesis, spectroscopy, and molecular modeling. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy and reproducibility. Analyze chemical, spectroscopic, experimental, and simulation data to identify errors, limitations, and opportunities for improvement. Apply domain expertise to guide the development and validation of chemistry-focused AI models and scientific tools. Review AI-generated scientific outputs for correctness, completeness, methodological soundness, and consistency with established chemical principles. Document research methods, findings, limitations, and best practices to support reproducibility and knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Areas of Expertise Candidates should have deep expertise in at least one of the following areas: Organic synthesis and reaction mechanisms Inorganic and organometallic chemistry Physical and theoretical chemistry Analytical chemistry and spectroscopy Computational chemistry and molecular dynamics Cheminformatics and drug discovery Materials science and polymer chemistry Requirements PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related field. Hands-on research experience in a laboratory setting for experimental chemistry specializations, or extensive simulation-based research experience for computational specializations. Deep expertise in at least one of the listed chemistry or computational research areas. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software used in your specialization. Familiarity with applicable tools such as Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit. Excellent quantitative, analytical, and scientific reasoning skills. Strong written and verbal communication skills, including the ability to document and explain technical concepts. Demonstrated ability to solve complex chemistry problems rigorously and evaluate scientific results critically.

Location: United States; Canada; United Kingdom; Australia; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a Biology and Bioinformatics Research Specialist with doctoral-level expertise or equivalent research experience to support projects focused on training and benchmarking next-generation AI systems. You will design, evaluate, and improve biological data analysis workflows, validate computational methods, and assess AI-generated scientific outputs for accuracy and reproducibility. Working across areas such as genomics, transcriptomics, proteomics, computational biology, and biostatistics, you will apply rigorous scientific reasoning to real biological datasets and communicate findings clearly to technical and scientific collaborators. Prior AI experience is not required; deep domain expertise and hands-on computational research skills are the priority. SENIORITY: PhD-Level Research Specialist / Experienced Researcher LANGUAGE: Professional English — C1 or higher TARGET LOCATIONS: US and Canada are our top priorities, followed by the UK, Australia, and NZ. We’re open to candidates worldwide as long as they meet the C1 English level. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Review genomic, transcriptomic, proteomic, and other biological data analysis pipelines for scientific accuracy and reproducibility. Assess and optimize pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including next-generation sequencing (NGS), RNA-seq, single-cell data, variant-calling outputs, and protein structures. Validate computational approaches and provide actionable recommendations to improve scientific reliability. Apply domain expertise to guide the development and evaluation of biology-focused AI models and tools. Document methodologies, findings, limitations, and best practices to support reproducible research and knowledge transfer. Communicate complex scientific concepts clearly to both technical and non-technical stakeholders. Areas of Expertise Candidates should have deep expertise in at least one of the following areas: Genomics and next-generation sequencing (NGS) analysis Transcriptomics and single-cell analysis Proteomics and structural biology Molecular and cell biology Systems biology and biological network analysis Drug discovery and computational pharmacology Biostatistics and machine learning applied to biology Requirements PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM field, or equivalent industry or research experience. Professional written and spoken English proficiency at C1 level or higher. Deep expertise in at least one relevant biological or computational research area. Hands-on experience analyzing real biological datasets. Proficiency in Python and/or R for scientific analysis. Experience with relevant tools and libraries, such as BLAST, samtools, GATK, Bioconductor, or Biopython, depending on the candidate's specialization. Strong statistical, quantitative, analytical, and scientific reasoning skills. Excellent written and verbal communication skills, including the ability to explain technical methods and document results. Demonstrated ability to solve complex biological or computational problems rigorously.

Location: Baran, Pakistan; Hyderabad, Pakistan; Multan, Pakistan; Rahim Yar Khan, Pakistan You will be a practitioner on our telehealth platform 'Intellect', where your role is to support our clients' mental health and personal growth based on the individual needs and goals. This is delivered primarily through scheduled 60-minute video sessions on our platform. This is a freelance remote role with the flexibility to decide your business hours. Local candidates are preferred but others can still be considered. This role is a great opportunity to supplement your current job or private practice. We're seeking to partner with Clinical Psychologists and Counsellors to be part of a community working collaboratively to bring greater mental health access to the public to provide mental health coaching. What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Focus on clinical cases such as depression, anxiety, trauma, schizophrenia, eating disorders, addiction etc. Collaboratively work with the internal clinical team by suggesting improvements to the program and the platform Requirements Has a Master / Postgraduate Diploma training in Clinical Psychology Skilled in Cognitive Behavioural Therapy or other evidence-based approaches (e.g. Motivational Interviewing, DBT, SFBT, etc.) Candidate must have at least 300 clinical hours AHPC Registered Able to do occasional onsite sessions Candidate must be proficient in Urdu language Prior experience in EAP, and/or counselling work Prior experience with group sessions Critical Incident Support Program experience is preferred Willing to do occasional onsite sessions

Location: Argentina; Brazil; Mexico; Lithuania; Latvia; Turkey We are looking for an organized, detail-oriented, and reliable HR Operations Specialist (RUSSIAN & ENGLISH speaker) to join our team. In this role, you will be responsible for ensuring smooth day-to-day HR administrative operations, maintaining clean employee data, managing time tracking, supporting payroll preparation, and leading internal HR communications. If you thrive in an international remote environment, enjoy structuring operational processes, and have hands-on experience with modern HR tools, we would love to hear from you! Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone) non flexible - Remote work. - B2B contract (sole proprietorship status or corporate entity). Key Responsibilities Employee Lifecycle & Records Administration: Maintain accurate and up-to-date employee profiles and documentation in our HR system (Workable). Support administrative processes across the entire employee lifecycle (onboarding, internal transfers, terminations, and status changes). Ensure document compliance and structured digital archiving. Time Tracking & Attendance: Track and monitor working hours, absences, and leave records via Uattend. Coordinate with department managers and employees to resolve any time tracking or timesheet discrepancies. Payroll Preparation Support: Consolidate and prepare monthly/bi-weekly payroll input data (working hours, leaves, status updates) for the Finance/Payroll team. Help resolve payroll-related data discrepancies to ensure accurate and timely processing. Internal HR Communications: Draft and distribute clear, timely company-wide announcements on HR policies, procedural updates, organizational changes, and lifecycle events. Serve as a reliable point of contact for employee inquiries regarding HR procedures. HR Reporting & Process Optimization: Maintain HR operational databases and prepare periodic HR reports. Assist in refining operational workflows, HR templates, and administrative standards. Requirements Experience: 2+ years of experience in HR administration, HR operations, or payroll support. Education: Bachelor’s degree in HR, Business Administration, or a related field (HR certifications are a plus). Languages: Fluent Russian and English (C1+ level) with strong written and verbal communication skills. Software & Tools: Experience with HRIS & ATS platforms (e.g., Workable ). Experience with time-tracking systems (e.g., Uattend ). Proficiency in Google Workspace / MS Office (especially spreadsheets/Excel). Familiarity with task management tools (e.g., ClickUp , Asana). Core Competencies: Exceptional attention to detail and process discipline. Strong organizational and time management skills. Ability to work independently in a remote environment. High commitment to data privacy and confidentiality. Benefits Fully remote work (you can be located anywhere in the world) 8.30 am - 5 pm, NY (EST zone) non flexible. Competitive compensation package (will be discussed with successful candidates). Benefits: paid vacation days + sick leave. Exposure to US market business operations and strategic projects. Dynamic environment with opportunities for professional growth.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Our mission Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity. Operating context & accountability Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support. Key responsibilities — design and technical standards - Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility. - Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring. - Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads. - Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios. - Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions. - Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints. - Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability. Key responsibilities — commissioning and delivery assurance - Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management. - Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions. - Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable. - Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership. - Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness. Key responsibilities — field reliability and root-cause analysis - Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites. - Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes. - Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations. - Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring. - Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance. - Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required. Key responsibilities — collaboration and leadership - Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains. - Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority. - Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders. - Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio. What success looks like - New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions. - Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints. - Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified. - Field experience produces measurable improvements to future designs and live-site operating resilience. Minimum qualifications - At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions. - Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other. - Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management. - Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists. - Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel. Preferred qualifications - Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling. - Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management. - Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics. - Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements. - Professional engineering registration or equivalent technical credentials. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: 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 is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales. This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity. We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other. Key responsibilities Design, build, and operate security controls for RL training systems and the infrastructure they run on Work across the stack (orchestration, environments, training, inference) wherever the work is needed Review designs and code across the RL stack, find security problems, and fix them Build shared libraries and tooling that other RL engineers and researchers build on Build the observability needed to understand what these systems are doing Work with researchers and performance engineers to make sure security changes preserve training correctness and performance Write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems or security systems in production Strong understanding of security fundamentals Working knowledge of Linux, containers, and cloud infrastructure Experience debugging complex problems across many hosts and services Ability to reason about tradeoffs between security, performance, and reliability Strong written communication, including design documents Preferred qualifications Experience running ML training or inference infrastructure at scale Experience with infrastructure security, such as isolation, access control, networking, or identity Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience building observability for large fleets Experience supporting research teams or other fast-moving internal users Familiarity with reinforcement learning or large language model training workloads The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The Compliance Analyst conducts day-to-day monitoring, triage, and execution of electronic communications surveillance across email, chat, messaging platforms, and digital communication channels. Working within established procedures and SLAs, this role executes high-volume alert processing, identifies potential risk indicators, and escalates non-standard cases. This role reports to the Director of Anti-Bribery, Corruption & Conduct and supports the team by leveraging AI-assisted tools and ensuring high precision in daily surveillance operations. What You’ll Be Doing Operational Surveillance & Risk Detection Execute Primary Triage: Perform daily review and triage of e-communications alerts across email, chat, text, and messaging channels within target SLA timelines. Identify Risk Indicators: Apply foundational compliance and regulatory guidelines to detect potential policy breaches, misconduct, or operational risk indicators. Maintain Audit-Ready Records: Execute precise data entry and case logging to ensure complete, compliant documentation for audit trails. Case Processing & Escalation Gather Case Context: Conduct initial background gathering and evidence collection on flagged communications to support case evaluations. Draft Clear Case Notes: Prepare structured, fact-based summaries outlining key findings for non-standard alerts requiring upper-level review. Escalate Complex Issues: Promptly escalate ambiguous, high-risk, or complex matters to senior analysts and leadership. Operational Efficiency, AI & Continuous Improvement Meet Volume & Quality Targets: Consistently hit daily output targets (KPIs) while maintaining strong precision in case evaluations. AI Tooling & Automation: Utilize AI-assisted surveillance platforms, prompt engineering, and automated workflow enhancements to streamline alert review and triage quality. Support Lexicon & Model Tuning: Identify recurring false positives and operational bottlenecks, providing feedback to help refine alert parameters and ML /AI model accuracy Drive Process Enhancement: Bring strong intellectual curiosity and a proactive mindset to continuously challenge existing surveillance workflows, proposing innovative ways to improve operational efficiency. Expand Domain Knowledge: Actively participate in ongoing training to build technical expertise across crypto regulations, market conduct rules, and emerging compliance technologies. What We Look For In You Mandarin Language Proficiency: Fluent in Mandarin (written and spoken) to support regional, cross-border, and multi-lingual e-communications surveillance across global team channels. AI & Technical Aptitude: Hands-on experience working with AI-driven compliance tools, large language models (LLMs), or automated workflow tools to enhance daily analytical tasks. Mindset & Drive: Strong curiosity and an inherent drive to continuously refine processes, automate repetitive tasks, and elevate overall team performance. Analytical Skills: Strong attention to detail with the ability to synthesize unstructured text data, spot nuances, and present concise findings. Education / Experience: BA/BS in Finance, Law, Business Administration, or a related field (or equivalent practical experience). Nice to Haves Prior exposure to specialized e-communications surveillance software (e.g., Smarsh, Behavox, Relativity) or lexicon/keyword monitoring tools. Understanding of market abuse indicators, insider trading, or conduct risk concepts within financial services or digital assets. Background in crypto, digital assets, Web3, or multi-lingual operational support. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $53,000 - $79,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote, AMER Workplace: Remote PARTNERSHIPS MANAGER, ECOSYSTEM ABOUT SUPABASE Supabase is the Postgres development platform built for developers. We provide a complete backend solution — Database, Auth, Storage, Edge Functions, Realtime, and Vector Search — all deeply integrated and designed to scale. Millions of developers build on Supabase. We're remote-first, async-native, and we move fast. ABOUT THE ROLE We're in the early days of building our partner marketplace program, and this role is foundational to it. You'll help lay the groundwork for what this program becomes — starting by owning two critical pieces: deep account management for our top marketplace and referral partners, and vetting the intake of new partnership requests. You'll take a focused set of high-priority partners and go deep — building the co-marketing and co-sell motion that drives real user growth — while also serving as the first filter for new partner opportunities coming into the pipeline. What you'll do Partner Account Management - Develop and execute co-marketing and co-sell strategies with each partner to drive user growth - Own day-to-day relationship management for a focused portfolio of top marketplace and referral partners - Report on partner performance and progress — adoption, attribution, revenue impact — to internal stakeholders - Coordinate integration support and ensure partners have what they need to succeed post-signature Partner Intake & Routing - Vet incoming partnership requests and evaluate fit against our partnership criteria - Ensure new partners are routed and bucketed correctly across the right internal programs - Own partner onboarding — getting new partners set up and moving smoothly from signed agreement to active partner - Flag high-potential opportunities for further evaluation or escalation Who you are - 5-10 years of experience in Partnerships, referral marketing, or channel sales - Experience helping build a marketplace from 0 to 1 - Domain expertise spanning PLG motions, integrations, marketplace ecosystems, and devtools/database companies — you understand how developers evaluate and adopt infrastructure tooling, and you've seen how partner programs operate from the inside - Track record of driving co-marketing and co-sell campaigns that delivered measurable results, with a solid grasp of attribution - Fluent working across modern tool stacks — Notion, Linear, Slack, Claude, and similar systems — as part of your daily workflow Nice to have - Prior experience at an early-stage startup - Hands-on experience building with Supabase or AI-powered tools (Lovable, Bolt, Figma, v0, etc.) We Offer - 100% remote, no location-based salary adjustments - Autonomous work environment - Comprehensive health, vision, and dental — 100% for employees, 80% for dependents - Tech Allowance + Annual Education Allowance - Annual company off-sites WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Athens Workplace: Remote About the company: KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe. About the role We are looking for an ML Engineer to improve automatic speech recognition (ASR) for Sophea Meet. You will work with real meeting audio and own the improvement loop from data and model experiments through evaluation and production performance. The initial language focus is English. Additional languages, starting with Greek, will be prioritized with Product based on usage and product needs. What you will do - Train, fine-tune, adapt, and evaluate speech recognition models based on measured product needs. - Build representative benchmarks and regression tests for real meeting audio. - Prepare speech datasets and investigate difficult cases, including noise, overlapping speakers, long sessions, and specialized terminology. - Use error analysis to decide which model, data, or pipeline changes will improve transcription quality. - Improve inference across accuracy, latency, throughput, reliability, and cost. - Deploy and monitor model versions with Engineering, while working with Product to set quality goals and prioritize improvements. What you will need - 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results. - Strong hands-on ASR or speech ML experience, including a speech recognition system you shipped or materially improved. - Experience training, fine-tuning, or adapting deep learning models using real-world audio data. - Strong evaluation skills, including WER/CER, benchmark design, error analysis, and regression testing. - Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills. - Experience deploying, monitoring, and maintaining production ML systems. Nice to have - Multilingual ASR, accent robustness, domain adaptation, or diarization. - Streaming speech recognition and low-latency inference. - MLOps, evaluation, or data pipelines for speech systems. - Experience with meeting transcription, voice agents, or enterprise speech products. What is there for you - Compensation: Competitive package aligned with talent benchmarks. - Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications. - AI-native environment: Real challenges across model development, evaluation, and production AI systems. - Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.