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Location: Split, Croatia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Tražiš dinamičan posao u inovativnoj trgovini bez blagajne i bez direktnog kontakta s kupcima? 🚀 Pridruži se našem timu Wolt Marketa u Splitu i budi dio budućnosti maloprodaje! Očekuje te rad u Wolt Marketima (dark store) gdje pripremaš online narudžbe i pomažeš da kupci dobiju proizvode brzo i točno. 📌 Što ćeš raditi? ✅ Obrada online narudžbi putem aplikacije 📲 ✅ Zaprimanje i skladištenje robe 🏪 ✅ Održavanje točnosti zaliha i označavanje proizvoda 🔄 ✅ Održavanje radnog prostora i praćenje HACCP standarda 🛒 ✅ Rad u timu i brza komunikacija 📢 👌 Što tražimo? 🔹 Odlične organizacijske vještine i preciznost 🔹 Brzinu, snalažljivost i sposobnost rješavanja više zadataka odjednom 🔹 Dobro razumijevanje korisničkog iskustva 🔹 Otvorenost za rad u digitalnim aplikacijama 🔹 Poželjno iskustvo u sličnom poslu ili iskustvo rada u trgovini 🔹 Minimalno srednja stručna sprema 🔹 Poznavanje hrvatskog i engleskog jezika 🎁 Što ti nudimo? 💰 Početna bruto plaća je 1.388,40 €, plus 50% dodataka za noćne i vikend smjene, a što duže ostaneš s nama, to će i tvoja plaća rasti! 🚀 🍽️ Naknada za prehranu 🚆 Pokriveni troškovi javnog prijevoza (do 110 €) 📈 Mogućnost napredovanja na Shift Lead poziciju 🏖️ Minimalno 25 dana godišnjeg odmora + dodatni plaćeni dani 🏋️ Mogućnost korištenja PassSport programa 🎄 Božićnica + ostali benefiti iz kolektivnog ugovora za trgovine 📚 Strukturirano mentoriranje i obuka od 3 tjedna 🎉 Timska druženja i odlična radna atmosfera ⏰ Radno vrijeme 📆 5-dnevni radni tjedan, s mogućnošću povezivanja slobodnih dana 🕗 Smjenski rad (jutarnja i popodnevna smjena, te vikendi) 🚫 Ne radimo blagdanima! 🎓 Kako izgleda uvođenje u posao? 📌 Prva 3 tjedna radit ćeš uz trenera u stvarnom okruženju 📌 Mentorstvo od strane Team Leada 📌 Edukacije, treninzi i radionice za usavršavanje vještina 🔵 Zainteresiran/a? Prijavi se odmah! 💾 Molimo priloži životopis u PDF formatu. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

StellarTech is a rapidly growing company at the forefront of innovation in the EdTech industry. Our team is focused on building scalable products and sustainable business models that shape the future of education. We are looking for a Product Analyst to join our Platform Development Team. Working hand-in-hand with the Product Manager, you will build product analytics for our core platform from the ground up - and become the person who understands user behavior on the platform better than anyone else. What You'll Do: Build product analytics for the core platform together with the Product Manager: define key metrics, events, funnels, and approaches to evaluating user experience. Design and maintain the event tracking framework - ensuring data is complete, consistent, and trusted across product and technical teams. Identify insights across user journeys, segments, and platform usage scenarios - and automate their regular discovery. Create and evolve dashboards, alerts, and analytics infrastructure used by product and engineering teams for day-to-day decisions. Support product hypotheses with data: validate ideas, evaluate feature impact, and help prioritize the roadmap with evidence. Translate user behavior into clear, actionable recommendations and help teams across the company make data-driven decisions. We're Looking For: 6-8 years of experience as a Product Analyst / Data Analyst in a product IT company (B2C platforms, SaaS, or marketplaces are a plus). Strong SQL skills and confident work with large datasets. Hands-on experience with product analytics tools (Amplitude, Mixpanel, GA4, or similar) and BI tools (Tableau, Looker, Power BI, or similar). Solid understanding of product metrics: activation, retention, conversion, funnels, cohorts, and unit-level user behavior. Experience designing event taxonomies and setting up tracking from scratch or significantly evolving an existing setup. Experience with A/B testing and a working knowledge of statistics for experiment evaluation. Ability to turn ambiguous product questions into structured analyses and clear recommendations. Nice to Have: Python or R for analysis and automation of recurring insights. Experience working with platform/infrastructure products or technical stakeholders (engineers, architects). Experience building analytics processes in a team where analytics did not exist before. Strong communication skills: ability to articulate findings to both technical and non-technical stakeholders. Proactive, problem-solving mindset - comfortable with ambiguity in a fast-paced, evolving environment. Why You'll Love Working With Us: Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. We are global remote. Health: company-provided medical expense compensation. AI solutions: AI subscription and other tools. Balance: Flexible paid time off - 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are. --- Hiring Process: 1. Recruiter screen 2. Technical Interview 3. Hiring Manager Interview

Location: United States; United Kingdom; Canada About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor About the company Our client is a results-driven growth partner and consultancy specializing in scaling high-performance firms within the home services and insulation industry. By leveraging a proprietary AI-powered expansion engine, the team transforms business operations through sophisticated paid acquisition, sales process optimization, and automated infrastructure. They go beyond traditional lead generation to focus on high-intent customer acquisition and talent recruitment, helping businesses transition from local operations to dominant market players. Operating as a fast-growing scale-up, the company is built on a culture of efficiency, transparency, and direct communication. The team is passionate about removing operational friction and creating "packed pipelines" that allow their partners to focus on excellence in delivery. This is an ideal environment for innovative professionals who value measurable impact, high-level strategy, and the opportunity to build scalable systems that drive significant revenue growth in a specialized, recession-proof niche. Job Summary We are seeking a high-performance Senior Media Buyer to spearhead growth for a portfolio of rapidly scaling insulation businesses. This is not a "maintenance" role—it is a high-ownership position for a strategic thinker who excels at Meta ads and high-ticket lead generation. You will be responsible for driving qualified applications and booked inspections for clients currently generating $400k–$3M in yearly revenue. This is a client-facing role with a clear career trajectory into management as the agency grows. Key Responsibilities Full ownership of Meta ad performance across roughly 10 active client accounts. Build, test, and iterate on sophisticated lead gen funnels, VSLs, and booked-call systems. Own the client relationship directly, leading weekly strategy calls and reporting on performance with clarity and confidence. Monitor budgets, pacing, and delivery to ensure optimal funnel economics and ROI. Collaborate with the founder to develop high-converting ad creative, hooks, and messaging. Systematize and document internal processes to facilitate the onboarding of junior support. Proactively identify and resolve underperformance issues before they are flagged by leadership. Requirements Proven track record managing $30k–$100k+ in monthly Meta ad spend across multiple accounts. Deep experience in the home services, home improvement, or contractor verticals. Mastery of high-ticket, considered-purchase sales cycles and lead quality optimization. Experienced in mentoring junior media buyers or reviewing account work. Strong communication skills with the ability to lead client calls independently without hand-holding. A structured testing methodology (no ad-hoc experimentation). Extreme ownership mentality: you are tenacious about getting results and proactive in your strategy. Nice-to-Haves Experience specifically within the insulation or HVAC niche. Advanced knowledge of VSL funnel architecture and optimization. Ability to turn complex data sets into simple, actionable narratives for clients. Proficiency in staying ahead of Meta platform changes and implementing iOS-resilient tracking strategies. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

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 RL Teams Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely. This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. Code RL spans several focus areas — from agentic coding behaviors and code correctness, to long-horizon autonomous engineering, to high-performance code for accelerators — and we'll match you to the area where you'll have the most impact. You may be a good fit if you: Have strong software-engineering skills and deep Python expertise, including async/concurrent programming Are comfortable owning systems end to end and debugging across the stack Can balance research exploration with engineering implementation, and engage rigorously in shaping experimental design and interpreting results Care about code quality, testing, and performance Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may also have: Experience with reinforcement learning, RLHF, post-training, or LLM finetuning Built coding agents, code-execution sandboxes, eval harnesses, verifiers, or developer tooling Background in program analysis, testing, verification, compilers, or formal methods Experience with PyTorch and large-scale distributed training; performance profiling and optimization of ML systems CUDA / GPU or TPU kernel experience and accelerator-performance intuition Experience with virtualization and sandboxed code execution environments Related roles If your background leans toward one of these areas specifically, you may also want to look at these postings: Research Engineer, Performance RL (Reinforcement Learning) — teaching Claude to write correct, fast code for accelerators Research Engineer, Universes — long-horizon, ultra-realistic agentic training environments Research Engineer, Cybersecurity RL (Reinforcement Learning) — RL for security-relevant coding capabilities 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: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. Canonical is growing its channel sales team to capitalize on rapidly growing demand from channel partners, leveraging their expertise and connections to bring open source technology to organizations across a multitude of industries. The role requires a mix of both farming and hunting capabilities. The successful candidate will be responsible for achieving assigned annual growth quotas. They should be able to identify, prospect, and engage reseller and distributor partners to build and maintain relationships and grow Canonical’s business within the assigned territory. The successful candidate must be comfortable owning and leading initiatives in an unstructured, startup-like environment.  This individual must be able to sell open source, cloud, virtualization, and technical software solutions. Although the role is focused primarily on reseller and distributor channel partners, the successful candidate must be capable of and comfortable with initial customer discovery calls and presentations as appropriate. The Role Entails Develop and execute channel strategy for distributors and resellers within the assigned territory Increase awareness of Canonical as a lead player in Open Source and Cloud (Private, Hybrid, Multi, and Public models) Identify and recruit new potential partners in assigned territory Leverage personal network and prospecting skills to engage new partners and build on Canonical’s already-successful relationships Guide partners through onboarding and enablement Develop mutually beneficial go-to-market plans and commitments with partners Arrange and execute sales and pre sales trainings to these resellers Drive and manage channel pipeline through recurring partner interactions Support partner’s satisfaction and act as trusted advisor and point of contact Maintain a regularity/frequency of contact with priority resellers and distributors. What we are looking for in you Bachelor's level degree, preferably in a technology field Experience in software or technology sales from the specified market Fluency in English An understanding of open source, Linux and Ubuntu A self starter with a proven track record of achieving sales targets Detail oriented with strong follow-up skills Effective negotiating skills with ability to close sales Excellent interpersonal and presentation skills (written and verbal) Productive in a globally distributed team through self-discipline and self-motivation Mature approach to long-term relationship development with customers The ability to represent the company at external events Start-up experience would be an advantage What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Bangalore, India Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance. Responsibilities Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding. Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance. Responsibilities Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding. Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Dubai, United Arab Emirates Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance. Responsibilities Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding. Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Madrid, Spain Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance. Responsibilities Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding. Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Dublin, Ireland Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance. Responsibilities Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding. Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: London, United Kingdom Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance. Responsibilities Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding. Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: United Kindom, United Kingdom Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance. Responsibilities Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs. Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding. Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training. Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency. Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs. System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools. Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability. Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: London, UK Workplace: OnSite 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 one of the first members of the Business Development team in our London office, you will be focused on building Ramp’s presence in the European market. In this high-velocity, high-impact role, you’ll hunt sales opportunities and quickly qualify, prioritize, and convert expressed interest into high-quality pipeline. Strong execution is critical, but so is strategic thinking. Our sales organization is looking for someone who is self-motivated and has a natural inclination for selling – a builder who can perform in ambiguity. As part of our early-stage team, you’ll act as the initial point of contact in prospecting and qualifying leads, and help design qualification frameworks that will scale with the team. If you’re eager to learn, embrace challenges and are passionate about playing a key role in defining Ramp’s presence in Europe and accelerating growth in this new market, this role is for you. What You’ll Do - Respond to and qualify high-volume inbound leads via multi-channel outreach with urgency and precision - Source new business opportunities across the United Kingdom/Ireland through outbound prospecting and outreach - Conduct consultative discovery to understand prospect pain points, priorities, and intent - Partner closely with Account Executives to on opportunities and support deal expansion - Maintain accurate and detailed activity, notes, and pipeline data in Salesforce - Continuously refine talk tracks, objection handling, and discovery techniques based on performance data and feedback - Maintain accurate and up-to-date records within Salesforce - Work closely with our GM Europe on highest priority GTM initiatives What You Need - Right to work in the UK is required - AI fluency as a daily habit. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment. - Strong written and verbal communication - Dedication to consistent self-improvement - Self-starter with a high sense of urgency - Comfortable operating in a fast-paced environment - Ability to work 5x a week in office, in London, United Kingdom Nice to Haves - Fluency in additional European languages - Experience in a high-growth startup, consulting, VC, IB/PE, or other analytically intensive environments - Previous experience in a customer-facing, business development, or inside sales role, ideally within a fast-paced environment - Prior CRM experience (preferably Salesforce) - Demonstrated ability to build or improve processes or workflows in a prior role 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: Toronto, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary  Reporting to the Sr. Director, Commercial Financial Planning & Analysis, the Director, Commercial FP&A will own two of the highest-priority pillars in PCC's commercial finance agenda: Commercial Deal Operational Excellence and Contribution Margin Expansion. This is a senior leadership role with direct executive exposure — partnering with GTM, Revenue Operations, Corporate Strategy, and Partnerships leadership to shape the commercial decisions that drive ARR growth and contribution margin performance. The ideal candidate is a commercially-minded finance leader who has built and led high-performing teams, owned complex cross-functional mandates, and is ready to pioneer the AI transformation of a best-in-class Commercial FP&A function. Key Responsibilities: Strategic Finance Leadership Direct mandate over two core pillars in Commercial FP&A: ( i ) Commercial Deal Operational Excellence and (ii) Contribution Margin Expansion Serve as a thought partner to the Sr. Director in shaping the broader Commercial FP&A agenda, contributing perspective on ARR growth strategies and Contribution Margin opportunities beyond direct pillars of ownership Drive significant transformation with AI, fully revamping the top Commercial FP&A processes with the spirit of improving speed to provide advi c e to the business, agility in understanding different scenarios, and gaining capacity for the team to expand scope Partner with Corporate FP&A team to harmonize and drive best practices in areas of scope that overlap between both teams; including but not limited to costs management and forecasting practices Commercial Deal Operational Excellence Partner with GTM L eadership to evolve operational frameworks & governance of the DealDesk function that is shared between Finance and Revenue Operations Partner with Revenue Operations to s et the strategic vision and governance model for the DealDesk function ; including but not limited to : Establish the standards and frameworks that define deal quality across the organization Advis e on promotional programs or concession frameworks Define the performance metrics and accountability structures that measure commercial deal health Partner with Monetization Strategy and Pricing team to operationalize pricing objectives set by their team and translating them to point of execution teams Partner with Partnerships and Corporate Strategy Leadership in negotiating the commercial terms of new Strategic Partnerships or Marketplace partners, in accordance with financial objectives in the long-range plan Partner with Partnerships and Corporate Strategy Leadership in measuring the financial health of existing Strategic Partnerships and the Marketplace and advising on the levers to pull to drive Contribution Margin expansion Contribution Margin Expansion Own the financial partnership with GTM leadership to ensure PCC's commercial investments are allocated with discipline and rigor — translating growth objectives into resource decisions that maximize Contribution Margin without constraining ARR momentum Partner with GTM Leadership to d rive best practices in making financial decisions on resource allocation & investments; including but not limited to: Establishing the right efficiency metrics to measure and compare to benchmarks Capacity planning to support headcount needs aligned to growth objectives Advising on commission program design & governance Advising on resource allocation decisions such as marketing channel mix Manage GTM partners to maintain accurate forecasts on headcount and discretionary spend Drive scenario planning and stress-testing across different time horizons (quarterly, annual, multi-year), quantifying upside and downside outcomes from strategic choices Team Leadership & Talent Development Lead a team of FP&A professionals setting a clear vision , high expectations , and a culture of performance and engagement Build and sustain a high-performing team through intentional talent development planning, ongoing coaching, and rigorous performance management Develop team members for increased scope and responsibility, with a long-term lens on succession and organizational capability building Required Skills & Experience: 10–12+ years of progressive experience in FP&A, Strategic Finance, or equivalent roles; a minimum of 5 years in a technology or SaaS business is a strict requirement Meaningful experience working across commercial topics ( e.g. deal structure, contracting, pricing) and with GTM functions is a strict requirement Experience with meaningful AI transformation in finance workflows is highly desirable Demonstrated ability to influence and communicate complex financial topics to executive and C-suite audiences, including in investor-facing contexts Deep financial modelling expertise , including deal structuring, scenario analysis, and contribution margin frameworks in a SaaS context Demonstrated track record of delivering measurable commercial outcomes — whether through improved deal economics, GTM cost efficiency, or margin expansion — in a high-growth environment Advanced understanding of financial and management reporting principles, SaaS financial metrics (ARR, NRR, CAC, LTV, Rule of 40), and financial accounting practices Bachelor’s degree in Business , Finance, Accounting, or a related field required ; advanced degree or CPA/CFA designation is an asset #LI-TW1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $162,000 - $180,000 + bonus + equity + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: USA (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are currently searching for linguists to join our Medical Talent Community. Given the highly regulated nature of the products in the Tibetan market, we are looking for senior linguists with a proven track record specifically within the Life Sciences vertical.   We prioritize linguists who understand the nuances of Clinical Protocols and Patient Records. Your specialized expertise will contribute to high-stakes medical and regulatory content.   What You’ll Deliver - Regulatory Review: Adapting and validating target text to meet compliance standards. - Life Sciences Expertise: Demonstrable experience in translating for pharmaceuticals, medical devices, or biotechnology. - Standard Operating Procedures: Ability to work within strict GxP environments and adhere to ISO 17100 quality standards. Qualifications - Native-level proficiency in the target language(s) - Currently based in the United States of America - A graduate qualification in translation, linguistics, or language studies, OR - A graduate qualification in another field plus 2 years of full-time professional translation experience, OR - 5 years of full-time professional translation experience. - The ability to follow terminology and reference materials precisely. - Professional experience in translation and localization within the Medical/Life Sciences domains. Why Collaborate with Lilt? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor, you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. What to Consider Before Applying - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. How to join our Life Sciences Community To ensure we meet our client's regulatory obligations, all Life Sciences partners must complete the following: Step 1: Apply with the English-language version of your Resume/C.V. Step 2: Experience Verification: Providing a project list or references highlighting past work in regulated medical markets. [Life sciences questionnaire] Step 3: Compliance Audit: Confirmation of familiarity with relevant local regulations (e.g., the Japanese Pharmaceutical and Medical Devices Act for Japan-bound content). Step 4: Specialized Assessment: Completion of a domain-specific translation or review test. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Remote Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI assistants like Claude and ChatGPT are seeing record adoption at work, and they're only as useful as the data they can reach. For our customers, that data lives in Distru. We believe the system of record has never been more valuable, so we're building Distru headless-first: unified access to ERP data, deep MCP and AI assistant integrations, agents embedded in Distru, and a seamless experience between the ERP and the AI tools our customers already use. You'll own and evolve Distru's AI product suite, including: MCP: connect AI assistants like Claude and ChatGPT directly to Distru data Agent Builder: build agents that run inside Distru, with workflow support for multi-step processes Unified Data Engine: unify ERP and business data into one layer that AI can query and act on And more… We're in the early stages, so you'll define the product from the ground up and make strong, opinionated calls on what we build and where it goes next. The AI space moves fast and the specifics will change, so this vision is something you'll mold. You'll report to the executive team and work closely with engineering, design, GTM, and customer success. What you'll do Product execution Gather customer feedback directly and through CS and sales, then deconstruct it into system-level AI features that benefit the wider user base and scale with future additions Prioritize the roadmap and timeline around the work with the most revenue impact Write PRDs with thoughtful UX designs, ready for the engineering team to execute on Product ownership Own features from inception to release, iteration, and continued maintenance Define and measure the success of every feature you're responsible for. You are the CEO of every feature you touch. Own the knowledge base, MCP docs, and go-to-market content for your features, and enable marketing and sales on everything you ship Cross-functional leadership Work closely with engineering, GTM, sales, and CS. You're the bridge that pulls insights from every department together and keeps the product moving. What success looks like at 6 months You've shipped at least one AI-native feature to production with measurable user adoption The product team and engineers trust you to write well-thought-through PRDs You own a part of the Distru product and are the go-to person for it across the company What we look for AI fluency For every AI role, we look for three things: Tool fluency: your setup is AI-forward and you have opinions on which tools to use (and not use). You go beyond prompting ChatGPT or Claude and have built your own skills, agents, or workflows. Workflow fluency: you can break a PM process into human steps, AI steps, and hybrid steps, and explain what you chose to automate, what you kept human, and why. Build fluency: you've shipped AI features that hold up in the real world, with nuanced workflows, different user personas, and users who aren't AI fluent. You know when AI feels natural versus forced, and you can defend the calls you made. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 3+ years in product management Product ownership: you've owned at least one significant AI feature or product end to end, from an ambiguous problem statement through launch and iteration, with measurable outcomes UX proficiency: you've created intuitive products that abstract away complexity for the user, without the need for a designer Technical fluency: you're comfortable with engineering concepts such as SQL, telemetry, agentic harnesses, subagents, and RAG Clear communication: you convey your thinking briefly and clearly Tooling: experience with product management tooling (Notion, Miro, Claude, Hotjar, LangSmith, etc.) Strong signal Background in supply chain, ERP, CRM, B2B marketplaces, or accounting Experience using Claude Code (or similar coding tools) to build products on your own Familiarity with agentic systems and multi-agent orchestration Experience in early-stage startups (0–50 headcount) How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. We ship fast. We expect PMs to be comfortable with the pace of a startup. We care about edge cases and details. Our customers' SOPs are nuanced, and details matter when you're handling their inventory and finances. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Intro call (30 min): your background, what you've owned, and the most challenging AI product you've worked on Product experience (45 min): a deep dive into a complex product you've owned and a PRD you're proud of AI fluency (30 min): a screen-share show and tell of something you've recently built with AI, and a look at your AI workflow Product exercise (take-home, 2–4 hours over 2–3 days): turn a set of user requests into a single PRD, working with the team in a shared Slack channel Exercise review (60 min): walk the team through your decisions, trade-offs, and what comes after the PRD References and offer   Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world.   #LI-RC1 Where you land in the range depends on your experience and skills.

Location: Germany; Munich; Zurich; Berlin Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. ABOUT THE ROLE Synthesia is seeking Enterprise Account Executives to join our Enterprise team. Utilising your experience in methodological, value-driven sales environments, you will land and expand Enterprise logos (1k - 20k employees) in Germany. For this role, you must speak native-level German and have sold to Enterprise logos in DACH. Over the last year, we have grown by 150% in DACH. There is strong demand for our solution, and we're seeking high-performing, value-led sellers who can win net-new logos whilst expanding our existing customer base in this segment. We aspire to create a world-class sales organisation where the most talented, relentless salespeople can thrive. If you’re someone excited by making an impact and hungry for opportunity, then we’d love to hear from you. WHAT YOU’LL BE DOING… - Driving Annual Recurring Revenue (ARR) through landing and expanding Enterprise customers in DACH. - Ensuring a robust pipeline of sales opportunities for your target accounts through direct and teamed prospecting. - Be accountable for accurate forecasting, regular quarterly revenue delivery, and the implementation of agreed account plans. - You will develop subject matter expertise in how strategic organisations can revolutionise their business communications and materials through AI-video. - Collaborate closely with the Customer Success team on account adoption, retention and expansion. We’d love to hear from you if you have… - Experience in b2b SaaS sales, landing and expanding logos with between 1k & 20k employees. - Strong experience in outbound prospecting into new accounts and conducting product demonstrations in a value-based sales environment. - The ability to identify client pain points and develop unique and compelling value propositions focused on delivering ROI. - Experience in reputable, value-driven, methodological sales environments, ideally using MEDDPICC or similar. - Strong business acumen and examples of how you’ve built business value and champions from the ground up. - You've experienced rapid growth and understand the opportunities and challenges that it can bring - and you thrive in it!  - Executive presence tied with exceptional verbal and written German & English. We’d be particularly excited if you have… - Extensive MEDDPICC & Command of the Message training.  - Experience and interest in AI. Location We have a strong preference for sellers based in Berlin, Zurich or Munich, but are open to remote. Culture At Synthesia, we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21 UK benefits (for region-specific, please see here https://synthesia.notion.site/Benefits-262c16d22bf181b28b68d963d0ec706b?source=copy_link) - A competitive salary + stock options - 25 days of annual leave + public holidays (plus the option to take 5 days unpaid leave and carry 5 days over) - You will join an established company culture with optional regular socials and company retreats - Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary caregivers to 5 weeks of full pay - You can participate in a generous recruitment referral scheme if you help us to hire - A working from home stipend

Location: London, England, United Kingdom About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About Fanatics Markets: Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Overview: Fanatics recently acquired a CFTC-registered Designated Contract Market and Derivatives Clearing Organisation, giving Fanatics Markets its own fully regulated exchange and clearinghouse infrastructure. We are now building the engineering team that will run it. This Senior Software Engineer (Backend) role sits at the heart of that build. You will have significant ownership over the core exchange platform, working on the systems that power order processing, market data distribution, trade lifecycle management and regulatory reporting for a CFTC-regulated exchange. The engineering challenges are those of any serious regulated trading environment, high-availability, low-latency, mission-critical infrastructure, but built for a consumer audience with the reach and distribution of Fanatics behind it. You will be joining a team modernising an existing Java codebase and building new services in Java, working alongside engineers with deep backgrounds in regulated financial infrastructure. You will be joining a team with a clear ambition: to bring this platform to the bleeding edge of financial infrastructure. This is not a clean slate but the technical ambition is real, and engineers who join now will have a level of architectural influence and ownership that is hard to find anywhere else. We are pioneering the use of AI as a code collaborator. We need engineers who have gone beyond experimentation and who actively use Claude Code, Codex, GitHub Copilot, or similar tools to ship production code faster while maintaining exceptional quality standards. Responsibilities: Lead the design, development, testing, and deployment of high-performance, fault-tolerant distributed backend services supporting the FMX exchange platform. Own services and features end-to-end: spec writing, implementation, instrumentation, deployment, monitoring, and iteration based on metrics. Work within and help modernise the existing Java codebase while contributing to new service development in Java and potentially Kotlin. Contribute to the architecture for order processing, market data distribution, and trade lifecycle management on a CFTC-regulated exchange. Build and maintain reliable daily reporting pipelines, ensuring data integrity and full audit trails across all trading activity. Participate in 24/7 on-call rotations, contribute to SLO definition, alerting strategy, and incident response for mission-critical trading infrastructure. Model and manage data for contracts, orders, positions, and settlements with an emphasis on correctness, integrity, and regulatory auditability. Collaborate with the DevOps/Platform team to ensure services are observable, scalable, and compliant with MNPI and insider trading restrictions. Conduct thorough code reviews, raising the bar on code quality, readability, security, and maintainability. Leverage AI tools to accelerate development velocity while maintaining high standards for security, correctness, and regulatory compliance. Establish and document team standards for AI usage, prompt patterns, code review checklists, and validation strategies. Contribute to a fast-paced environment, unblocking others and taking initiative where processes are still being defined. Qualifications: 5+ years of experience building highly scalable, high-performance backend applications or distributed systems. Background in regulated exchange or financial infrastructure strongly preferred, brokerage, futures or derivatives exchanges (e.g. CBOE, CME, ICE), market makers, or hedge funds with relevant trading infrastructure experience, or similar CFTC/SEC-regulated environments. Strong production experience with Java; Kotlin experience a plus. Experience with event-driven architectures (Kafka, Kinesis, PubSub, or similar) in a financial or high-throughput context. Strong understanding of data integrity and transaction management in PostgreSQL or equivalent RDBMS, including financial-grade data modelling. Solid grasp of software design principles (SOLID, DRY) and testing methodologies (unit, integration, end-to-end). Familiarity with CFTC compliance requirements, MNPI handling, and audit trail obligations in a regulated trading environment. Experience with CI/CD pipelines, automated testing, and safe deployment practices for backend services. Production reliability experience: monitoring, logging, alerting, on-call, and SLO definition. Demonstrated experience using AI tools (Claude Code, Cursor, Copilot, etc.) to ship production code; able to articulate specific workflow improvements. Communicates complex technical concepts clearly to engineering, compliance, and business stakeholders. Thrives in a fast-paced, high-growth environment where priorities evolve and decisions are made quickly. Preferred Qualifications: Previous experience at a US-regulated financial exchange or licensed trading platform (e.g. CBOE, CME, or similar). Familiarity with low-latency trading systems, order book design, or market data infrastructure. Experience with low-latency in-memory systems and the performance engineering techniques required to operate them at scale. Experience with Aeron or similar high-performance messaging frameworks used in financial trading environments. Experience modernising legacy Java codebases in a financial services context. Previous experience in a high-growth or scale-up environment. Contributions to open-source projects or the technical community. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE, a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connections and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of regulated prediction markets? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .