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Location: Berlin, Germany About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Bratislava Workplace: hybrid Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. As a Software Engineer, you’ll help us push the boundaries of what legal tech can do. You’ll build web applications and core backend services that connect with AI models like GPT, Claude and Gemini.   Working at Filevine is a mix of solving real-world customer problems, owning features end to end and shaping how we build software at scale. Key Responsibilities Take ownership of features from idea → release → maintenance Partner with Product to shape solutions before they’re built Contribute to a codebase that stays stable, readable, and fun to work in Build across the stack - UI, APIs, backend services (no “that’s not my part” energy) Collaborate across teams to deliver on time without unnecessary drama Review code thoughtfully and give feedback that helps the whole team level up Requirements 1+ years building and shipping software products from start to release to maintenance Experience contributing to projects and designing solutions that can scale with use Comfortable working across the stack - more focused on solving problems than guarding territory Thrives in a remote, collaborative environment: async communication, clear thinking, no ego Able to work with operations and customer-facing teams to turn messy realities into clean solutions Familiar with or open to using: Python, Typescript, React, Svelte, Kubernetes, AWS (we care more about engineering skill than specific tools) Hybrid mode - 1 day per week in Bratislava office is required Compensation starts at 4,000 EUR per month, with the final offer determined by the candidate’s seniority and experience. This opportunity is for independent contractors and is not intended to establish an employment relationship. Contractors are responsible for their own taxes and compliance with applicable laws in their jurisdiction. This role is open exclusively to candidates currently residing in, or willing to relocate to, Czechia or Slovakia with the legal right to work in these countries. Unfortunately, we are unable to consider applications from candidates based outside of these locations due to operational and regulatory requirements Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing: Revenue quality Engineering focus Product evolution Customer trust at scale You’re welcome to work remotely from Europe. Your responsibilities will include: Strategic Technical Discovery Lead deep technical discovery with engineering teams and technical founders Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies Translate customer ambition into production-feasible architectures Identify hidden technical risks early Commercial Acceleration Partner tightly with Sales on strategic deals Influence deal strategy through architectural clarity Prevent misaligned commitments before engineering allocation Increase PoC-to-production conversion by ensuring technical realism PoC Architecture & Validation Define measurable success criteria (latency, TTFT, throughput, cost envelope) Classify workload complexity and required optimization depth Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.) Drive structured Go / No-Go decisions Prevent uncontrolled customization or hidden R&D Pattern Recognition & Platform Leverage Identify recurring configuration patterns across customers Quantify demand for advanced optimizations (quantization, speculative decoding, etc.) Surface structured insights to Product and Engineering Help evolve platform capabilities based on real workload data We expect you to have: Deep understanding of AI inference systems and GPU-backed infrastructure Experience with LLM workloads and performance-sensitive environments Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM). Ability to reason about latency, throughput, cost, and architecture tradeoffs Strong customer presence with engineering-first organizations Comfort challenging assumptions and pushing back constructively Commercial awareness – you understand that engineering time is a strategic resource Preferred technical stack : Programming Languages– Python Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent API and Web Frameworks– FastAPI, Flask MLOps and DevOps tools– Kubernetes (K8s), Docker, Git Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) What success looks like : Strategic deals are technically sound before engineering engagement PoCs are clearly scoped and economically justified Engineering capacity is allocated predictably Conversion to production improves Customers view you as a trusted architectural advisor Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across CEE. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the CEE market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across CEE. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across CEE business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the CEE enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in enterprise technology, preferably pharmaceuticals or life sciences A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the CEE market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in CEE Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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: €265.000 — €310.000 EUR 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: Lugano, Switzerland 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 our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. 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). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). 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: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments . This role is NOT: A sales role (though you will support expansion through value) A pure support role (you won’t just react to tickets) A solution architect role (you won’t design systems from scratch) You’re welcome to work remotely from the United States . Your responsibilities will include: Own the production journey Lead the transition from PoC to production Ensure customer workloads are deployed, stable, and scalable Drive time-to-production and time-to-value Ensure technical success in production Understand customer architectures and use cases Monitor and improve: - performance (latency, throughput) - cost efficiency - reliability Identify and resolve bottlenecks proactively Act as a trusted technical partner Work directly with customer engineering teams Provide guidance on best practices and optimisation Translate technical challenges into actionable solutions Manage risks and incidents Act as a primary technical contact for production issues Coordinate with internal teams to resolve incidents Communicate clearly during high-pressure situations Drive continuous improvement Identify opportunities to optimise and expand usage Provide structured feedback to Product and Infrastructure teams Help shape better solutions based on real customer needs We expect you to have: Technical background Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar) Solid understanding of: - cloud or infrastructure systems - distributed systems or high-load applications - AI/ML workloads (LLMs, inference, etc.) is a strong plus Ability to troubleshoot and reason about system performance Customer-facing experience Experience working directly with technical customers (e.g. engineers, ML teams) Ability to communicate complex topics clearly and effectively Ownership & execution Strong sense of ownership – you drive outcomes, not just tasks Ability to manage multiple customers and priorities Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: Experience with GPU workloads or AI infrastructure Background in solutions engineering, SRE, or technical support in B2B environments Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-DN1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $209,800 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Energy & Utilities A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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: Abu Dhabi, UAE; Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Responsibilities 1. Business Partnership & Decision Support Serve as the core BI Partner for the Payment business; develop deep understanding of business scenarios including Crypto Pay, stablecoin payments, merchant payments, and cross-border payments — covering business models, core metrics, and growth drivers. Independently collaborate with business leaders, Product, Operations, and BD teams to understand business objectives and real challenges; proactively identify business issues, growth opportunities, and potential risks. Build analytical frameworks from a business perspective; deliver in-depth insights and actionable recommendations through data analysis to support product strategy, business planning, and key decision-making. Go beyond passively fulfilling data requests — actively participate in business discussions and drive data analysis to genuinely influence business decisions. 2. Payment Analytics & Deep-Dive Analysis Own in-depth analysis across Payment-related businesses, covering Crypto Pay, Stablecoin Payments, Merchant Payments, Cross-border Payments, and more. Build systematic analysis and monitoring frameworks around core metrics including transaction volume, payment success rate, conversion rate, active users, merchant activity, transaction frequency, and revenue. Conduct deep-dive analyses across dimensions such as users, merchants, products, payment methods, PSPs, payment channels, and regional markets to identify key factors affecting business performance. Independently perform root cause analysis, attribution analysis, and trend analysis for metric anomalies or performance fluctuations; provide thorough explanations of the business reasons behind data changes. Identify potential business opportunities by incorporating industry trends, competitor performance, and market shifts; provide analytical support for Payment product development and market expansion. 3. Business Growth & Performance Optimization Use data analysis to support Payment product growth, user acquisition and retention, payment penetration improvement, merchant growth, and transaction volume expansion. Analyze user payment behavior, transaction conversion funnels, merchant performance, and payment channel efficiency to uncover growth bottlenecks and optimization opportunities. Evaluate the business impact of product features, marketing campaigns, PSP partnerships, and payment channel strategies; provide recommendations for product iteration, channel optimization, and resource allocation. Collaborate with business, product, and operations teams to translate analytical recommendations into concrete actions; continuously track and measure business improvement outcomes. Support business evaluation and growth strategy development for new products, new markets, and new payment scenarios through data analysis. 4. Analytical Ownership & Business Impact Independently own complex end-to-end analytical projects, including problem definition, analytical framework design, hands-on data analysis, strategic recommendations, execution driving, and impact evaluation. Build and continuously optimize the Payment business KPI framework, dashboards, analytical models, and monitoring mechanisms to improve analysis efficiency and quality. Go beyond routine reporting — proactively challenge existing assumptions, dig deep into root causes, and propose actionable solutions. Take ownership of delivery quality and business outcomes for key analytical projects; drive measurable business impact from analytical outputs. Develop reusable analytical frameworks, methodologies, and data assets to enhance the team's analytical capabilities and business support efficiency. Requirements Education: Bachelor's degree or above in Statistics, Mathematics, Computer Science, Economics, Finance, or a related field. Experience: 5+ years of experience in BI, Business Analytics, Product Analytics, or related data analysis roles; prior experience in Payment, Fintech, PSP, or Digital Wallet industries is a strong plus. Payment Domain Knowledge: Solid understanding of payment business models, transaction flows, merchant payment scenarios, payment channels, and core business metrics; deep knowledge of the payment industry ecosystem and business growth logic. Technical Skills: Proficient in SQL (Hive/ODPS) and Python; capable of independently handling complex data analysis, data processing, and analytical model development; familiar with Tableau, Power BI, DeepInsight, or other BI tools. Analytical Skills: Strong structured thinking and complex problem-solving abilities; capable of independently conducting deep-dive analysis, root cause analysis, attribution analysis, and business impact evaluation. Business Acumen: Strong business sensitivity; able to deeply understand business goals and core drivers, proactively identify problems and opportunities, and translate analytical findings into actionable business recommendations. Ownership: Highly proactive and independently accountable; able to independently own a business domain, lead complex analytical projects, and drive cross-functional collaboration and execution. Stakeholder Management: Strong communication skills and cross-team influence; capable of independently partnering with business leaders, Product, Operations, and other teams to drive data-driven business decisions. Adaptability: Able to thrive in a fast-changing business environment; stays attuned to emerging payment products, market trends, and new business opportunities Preferred Qualifications Experience in BI, Product Analytics, or Business Analytics at established payment platforms or PSPs. Hands-on project experience in Payment Growth, Merchant Analytics, Payment Conversion Optimization, or PSP Performance Analysis. Familiarity with business scenarios including Crypto Pay, Stablecoin Payments, Digital Wallet, Cross-border Payments, and Merchant Acquiring. Experience building business metric frameworks and analytical structures from scratch (0 to 1), or supporting new payment product launches and business growth initiatives. Demonstrated track record of driving product optimization, payment conversion rate improvement, transaction volume growth, merchant growth, or revenue growth through data analysis. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Dubai, United Arab Emirates Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Commercial team sits at the centre of Deliveroo’s marketplace—shaping how we serve restaurants, grocers, and new verticals worldwide. From negotiating key partnerships to unlocking new revenue streams and crafting data-led growth strategies, we take on big challenges that move the business forward. If you thrive in fast-paced, commercial environments and want to influence the future of a global brand—this is the team for you. The Team The Business Development team is the backbone of Deliveroo, tasked with signing up the best restaurants in the UAE to work with us. As a Business Development Manager, you’ll be responsible for signing up and helping to onboard the city’s best restaurants and chains. You'll be reporting to the Team Lead of your respective city. What You’ll Be Doing Here’s what your day-to-day might look like: Restaurant acquisition: You'll be prospecting, pitching, and closing new restaurants in your territory. This is mostly an inside (telesales) sales opportunity. Oversee your pipeline: Take control of your own pipeline and use your organisational skills to manage your portfolio of leads and ensure strong conversion rates. Oversee the partner onboarding process to ensure it is as quick, efficient, and seamless as possible Ensure partner success within the first weeks from signing Commercial Projects: Assist our wider commercial team with ad-hoc projects like field pitch days, restaurant marketing roll-outs, and cross-functional projects. KPIs Number of partners signed each month from the target list Performance of partners signed (first 3 months) What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: BSc/BA in business or a related field Minimum of 2 years of sales experience Knowledge of the restaurant landscape in the UAE Demonstrable sales track record with experience in prospecting, pitching, and closing deals Experienced negotiator and able to structure win-win deals for partners and for Deliveroo Commercially knowledgeable person who understands the economics of delivery - for restaurant partners and Deliveroo Be able to maturely demonstrate product and industry knowledge to clients Take ownership and work towards demanding targets A fantastic communicator with a "get it done" mindset, well organised and efficient Fluency in English; Hindi or Arabic is a plus Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎A culture built for builders High standards, collaboration, flexible working and continuous learning. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Bangalore, India From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is seeking an exceptional Senior international accountant, to join its fast growing Accounting team. This role will be a significant contributor to the success of the accounting department. The ideal candidate has in-depth knowledge of generally accepted accounting principles, proficiency in accounting systems, and strong motivation to contribute to the achievement of efficient financial close and reporting processes. You pay great attention to detail, deliver results under deadlines and work effectively cross-functionally in a rapidly changing environment. The ideal candidate is someone who strives for operational excellence. You invest time in defining and documenting processes to not only proactively address current process gaps but to also to get ahead of new processes required to support Fivetran’s continued growth. What You’ll Do As Senior international accountant you will: Be responsible for our Indian entity and support multiple other entities across EMEA & APAC from a US GAAP and statutory reporting perspective Prepare and post journal entries in Netsuite for these entities as well as monitor postings done by other accounting functions Hands-on performance of month-end close activities. Make sure that all deadlines are met and proactively review balances before closing Oversee the preparation of financial statements in accordance with IFRS or applicable local GAAP Support the Statutory Audit process and ensure timely and accurate preparation of audit deliverables Review the work of our outsourced partners and closely manage service levels Identify and drive process improvements and automation initiatives to reduce manual effort and drive toward Global standardization Manage processes related to invoicing, tax payments, statistical filings and other obligatory filings Demonstrate strong technical accounting acumen to be able to conclude on accounting treatment of complex transactions; Partner with key stakeholders including Tax, FP&A, Legal and Sales & Marketing teams Support ad-hoc projects as required Skills We’re Looking For Recognised accounting qualification (ACA, CIMA, ACCA) Minimum 4 years of PQE, preferably gained within a Big Four firm and / or a multinational organization Solid knowledge of US GAAP, IFRS and local GAAPs Strong computer and analytical skills Excellent planning, analytical, interpersonal and communication skills Demonstrable experience as a team player, who is comfortable working as part of a larger team located across multiple geographic locations Ability to work independently, to work under pressure and to handle several projects at once A desire to work in a hyper-growth, quick paced, exciting business environment # LI-Hybrid #LI-DB1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Buenos Aires Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE Halter is the world’s leading provider of virtual fencing technology, on a mission to make 50% of the world’s land more productive and sustainable. We are building a world-first operating system that is transforming how farmers manage their land and animals. It is ambitious technology - but it only matters if it lands perfectly in the real world. That is where the Logistics Specialist role comes in. Every week, new farmers are joining Halter, chomping at the bit to receive their hardware and get started on the journey. Collars, towers, and accessories need to be packed, freight coordinated, and delivered on a rapid timeline. When a deployment runs well, it feels seamless. When it doesn’t, everyone feels it. We are looking for someone to come in and run our dispatch process like a clinic. You will own the end-to-end flow of hardware going out to new customers. Think of yourself as the air traffic controller of our dispatch operation - directing traffic, clearing bottlenecks, spotting risks early, and keeping everything moving at pace. This role sits at the centre of operations. You will be the person who sees what is happening in real time and makes sure momentum never drops. KEY RESPONSIBILITIES - Coordinate and dispatch new hardware orders to producers across Argentina, Uruguay and the wider region - Work closely with our freight, customs and warehousing partners, holding them accountable to speed and quality - Manage timelines, track shipments, and proactively solve delivery issues - Keep our internal teams in South America and Auckland HQ aligned and informed - Dive into the details when something doesn’t look right - Continuously improve the dispatch process so it scales cleanly - Do whatever else it takes to make Halter succeed in South America - this is an early-stage market entry WHO WE’RE LOOKING FOR We’re casting the net wide. Whether you’re early in your career or have years of logistics experience, we want to hear from you. We’ll match the level to your experience. AT EVERY LEVEL, YOU'LL BE A GREAT FIT IF YOU: - Naturally take ownership (you don’t wait to be told something is stuck) - Like running a tight ship and take pride in operational excellence - Can zoom into the detail without losing sight of the bigger picture - Are confident holding partners accountable - Stay calm under pressure and enjoy high-tempo environments - See problems as puzzles, not blockers - Are comfortable with ambiguity - this is an early-stage market entry and things will be imperfect - Speak fluent Spanish and English. English proficiency is a requirement for this role. The recruitment process will include interviews conducted in English, and a significant part of the day-to-day work will also be conducted in English. Candidates should feel comfortable communicating, participating in professional conversations, and working effectively in English. If you are not comfortable having professional conversations in English, this role may not be the right fit for you. BONUS POINTS FOR: - Experience with imports, customs brokers or product approvals in Argentina or Uruguay. - Experience in a startup, scale-up or agricultural technology business. - Knowledge of cattle production or rural South America. WHY THIS ROLE MATTERS Standards, speed, and getting it right for farmers matter deeply here. When deployment is sharp, disciplined, and thoughtful, everything downstream works better - from customer experience to cash flow to global expansion. If you are excited by the idea of building an operational engine that can scale globally - and being the person at the centre of making it world-class - we would love to hear from you! There is real scope for this role to grow. As complexity increases, this could evolve into broader ownership across logistics, supply chain optimisation, international freight, inventory strategy, or operational leadership. If you’re ambitious, this is a front-row seat to building something that scales worldwide. This isn’t just about dispatching hardware - it is about building the engine that powers Halter’s global expansion. You will be directly involved in shaping and strengthening a world-class supply chain from the ground up. You won’t just execute a process - you’ll help design the future state. Maybe you have worked in logistics, supply chain, operations, warehousing, dispatch, or manufacturing. Maybe you have been the person who quietly keeps everything moving behind the scenes. This isn’t a passive coordination role. We are looking for someone with hunger. OUR BENEFITS - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and restricted stock units, so you own a part of what we’re building. - Healthy body, healthy mind. You’ll be on the OSDE 410 plan, fully paid by Halter with dependents included, giving you comprehensive maternity cover, dental and vision, and complementary therapies like acupuncture. - Mental health matters. You’ll have access to up to 30 sessions per year of individual or group therapy, plus up to 15 sessions per family group for bonding therapy. - Our personal growth is important. Halter offers an annual US$750 personal growth fund to be used for anything that fuels personal growth. - We offer 26 weeks of paid parental leave for primary caregivers, 4 weeks of paid leave for the other parent, and flexible return-to-work options. OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. * Please submit your application in English JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Sydney Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Enterprise Account Executive joins Harvey's Sales team to drive commercial growth across Australia and New Zealand, with a primary focus on owning and expanding a portfolio of Enterprise law firm accounts. This role sits within a high-performing regional sales organisation whose mission is to establish Harvey as the essential AI platform for legal professionals across ANZ. The person in this seat will own the full sales cycle; from prospecting through commercial negotiation, onboarding, and expansion, shaping how leading law firms adopt and scale AI-powered solutions. They will partner closely with cross-functional teams including product, legal engineering, solutions architecture, and customer success to deliver tailored outcomes for sophisticated legal buyers. It is a compelling opportunity to define how a category-creating AI product reaches the law firm market in one of its fastest-growing regions. What You'll Do - Own and grow a portfolio of named law firm accounts across ANZ, driving full-funnel sales activity from prospecting through to commercial negotiation, onboarding, and expansion. - Develop deep, long-term relationships with managing partners, innovation leaders, general counsel, and other key stakeholders across target firms. - Lead high-impact product demonstrations and client meetings that clearly articulate Harvey's business value and technical capabilities to legal audiences. - Collaborate cross-functionally with product, legal engineering, solutions architecture, and customer success to inform roadmap priorities and surface client needs. - Deliver against sales targets with a focus on sustainable growth and performance excellence across the ANZ law firm market. - Document learnings, iterate on messaging, and help build scalable processes that accelerate regional growth and strengthen Harvey's position with law firms. What You Have - Experience in enterprise B2B SaaS sales, preferably (but not essential) with exposure to AI, legaltech, or vertical software. - Track record of success managing complex sales cycles with multiple stakeholders, ideally within law firms or the broader legal industry. - Strong communication skills, with the ability to explain technical products to non-technical audiences, including senior legal professionals. - Interest in the legal industry and a commitment to enhancing knowledge work through technology. - Familiarity with enterprise sales practices in the ANZ region; self-motivated and results-oriented, with a collaborative approach to working cross-functionally. What We Offer - Be part of building something special as a member of our Sydney team. - Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home. - Opportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growth. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Austin, Texas; Dallas, Texas; Houston, Texas; Fort Worth, Texas; San Antonio, Texas Workplace: Hybrid 🧠 ABOUT LEGION HEALTH At Legion Health https://legionhealth.com, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale. Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs/, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens. Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients. Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV. Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together.   📍 ROLE LOGISTICS - Job Type: Full-Time - Role Type: Provider Partnerships / Field Sales / Referral Growth / Growth / Sales - Ideal Experience Level: 4+ years carrying and hitting a quota in a full-cycle, customer-facing role - Location: Regional territory (field-based), with occasional travel for team offsites and strategic meetings - US Visa Sponsorship: No 🚀 THE OPPORTUNITY Legion is hiring a Provider Partnership Manager to build and own the referral relationships that connect providers to Legion's psychiatric care. This is a ground-floor, quota-carrying role on a brand-new team: you'll be one of Legion's first dedicated field sales hires, which means you'll help define the playbook, not just run it. PCPs see mental health needs in their patients every day but rarely have a fast, trusted place to send patients. You'll be that trusted place — building in-person relationships with physicians, medical assistants, office managers, and administrators that turn a single conversation into a durable referral pipeline. You will own your defined territory like a business: unlocking new practice relationships, running the full partnership cycle, and growing referral volume in accounts you've already won. ✅ RESPONSIBILITIES AND DELIVERABLES - Carry a quota for provider referral partnerships and referral volume in your territory, and treat it as your scoreboard. - Run the full cycle: self-source through prospecting, build the case with practice decision-makers, and close. - Keep your pipeline and account activity clean and current in the CRM. - Spend the majority of your week in the field meeting with physicians, medical assistants, office managers, and administrators; supplement with virtual outreach and follow-up. - Represent Legion credibly to clinical and administrative customers, translating a new category of AI-enabled psychiatric care into a clear, compelling referral case. - Map the decision-making unit inside each practice and build multi-threaded relationships that move a partnership from first meeting to live referrals. - Become a trusted resource to providers by educating them on Legion's model and the impact fast, accessible psychiatric care has on their patients. - Set each practice up for a clean handoff so patient referrals convert into scheduled visits. - Feed what you learn in the field back into messaging, targeting, and the sales playbook. You're building this function, not inheriting it. - Partner with leadership on territory design, targeting, and process as the team scales. - Collaborate with your peers across territories sharing what's working, troubleshooting objections together, and helping build a team where everyone's win rate goes up. 🏆 YOU’LL BE SUCCESSFUL IF YOU… - Are driven by the number: hitting quota is satisfying, beating it is the point, and you don't need anyone chasing you for it. - Would rather write the playbook than inherit one, and see the ambiguity of a new category as opportunity, not friction. - Earn trust with physicians quickly. You can get in front of a busy clinician, read the room, and move a skeptical conversation toward a signed partnership. - Treat change as normal. Territories, tooling, and the field/virtual mix will evolve as we scale, and you adapt fast while staying focused on results. - Are energized by the mission of making fast, affordable psychiatric care accessible through better referral pathways. - Welcome coaching and feedback and treat growth as a team sport. 🧰 IDEAL BACKGROUND AND SKILLS - 4+ years carrying and hitting a quota in a field-based or B2B2C role; healthcare, medical device, or pharma referral sales strongly preferred. - Comfort and skill in front of clinical and administrative buyers; you can build physician rapport and move a conversation toward a partnership. - Strength selling in person, with the judgment to know what a given relationship needs. - Highly organized and analytical, comfortable owning a number and reasoning from your own pipeline data. - Strong written and verbal communication, with the polish to represent Legion well externally. - Familiarity with CRM and sales tooling. - Existing relationships with provider referral networks are a plus, but not required. 💰 COMPENSATION & BENEFITS - Comp: OTE range of $120,000 to $180,000 depending on experience. Competitive base + uncapped, performance-based variable commission tied to your number, plus meaningful early-stage equity - Additional Perks: Mileage and travel reimbursement at the IRS standard rate, coverage for field and provider engagement expenses, cell phone stipend - Time Off: Flexible, unlimited vacation policy - Work Setup: Remote, in-field with some travel for team meetings - Benefits: Comprehensive health, dental, and vision coverage - Impact: Build the referral engine that connects primary care to the future of psychiatric care - Growth Opportunities: As we scale, this role can grow into a leadership role, building out enablement or larger partnership role. 📝 HOW TO APPLY AND HIRING PROCESS - Apply here: https://jobs.ashbyhq.com/legionhealth/2289fb02-74da-4f4c-8ffc-e5973a39329c/application - Overview of our hiring process: 1. Recruiter Screen 2. Hiring Manager Interview 3. Founder Interviews (2) 4. Professional Reference Checks - Estimated time-to-hire: 3 weeks - Start date: ASAP 🤝 EQUAL EMPLOYMENT OPPORTUNITY Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.

SimSpace is looking for a skilled Senior Sales Executive - Central Region that knows how to hunt and win large accounts. What You Will Do: — Meet or exceed revenue targets as directed by Global leadership teams — Communicate SimSpace’s value to prospective partners and target customers to convince prospects why offerings make sense — Work with sales management and internal resources (Professional Services, Products, Sales Engineering) to define engagement for prospective customers and partners — Successfully drive negotiations and contracting to secure signed agreements and Statements of Work — Assist customer success team with contract renewal activities — Collaborate with other functional leaders to support and execute key initiatives — Develop annual sales plan, budget, and programs — Analyze and develop strategies for existing and new customers — Manage annual sales plan aligned with organizational strategy and objectives — Regularly review market analytics with Executive Leaders to determine customer needs, volume, and market margin potential — Act as a partner to clients by creating sales presentations and providing business solutions — Maintain innovative marketing strategies leveraging company capabilities to acquire and retain customers — Develop content roadmap aligned with SimSpace’s values, vision, and capabilities through integrated marketing initiatives What You Will Bring: — Must be located in the Central Region of the U.S. — Minimum 5 years of direct sales experience with strong emphasis in the Cybersecurity market — Experience working on enterprise security products within Cloud, SaaS, and on-premises for enterprise companies — Experience creating sales agreements and/or contracts — Ability to clearly define success and drive to completion — Ability to describe complex topics clearly and concisely — Excellent communication and interpersonal skills; strong team player who works collaboratively across the organization — Curiosity about new technology and strong desire to learn — Experience working with early stage companies What We Offer: — Base salary range: $145,000 - $220,000 with opportunity for commission tied to company and individual performance — Comprehensive medical, dental, and vision benefits starting day one — Mental health support through company-paid counseling and coaching — 401(k) retirement savings plan with company match — Unlimited vacation and dedicated health & wellness days — Paid parental leave — Equity stock options at hire with annual performance-based grants — Employee referral rewards program — Wellness programs including Peloton membership subsidies — Access to LinkedIn Learning for personal and professional development — Monthly reimbursements for social connections with teammates — Additional perks such as legal plan coverage, pet insurance, and wellness reimbursements SimSpace is an Equal Opportunity Employer committed to diversity, inclusion, and providing reasonable accommodations for qualified individuals with disabilities. All hires must verify identity and eligibility to work in the United States.

Location: Amsterdam, Netherlands; Ireland, United Kingdom; Munich, Germany; Paris, France; Testelt, Belgium At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Sr. Clinical Data Manager (SrCDM) to join our A-team (hybrid*/remote). As a SrCDM at Allucent you lead data management activities of the Allucent Data Management (DM) department. This position manages, coordinates, reviews and approves DM deliverables from database design & set-up, through cleaning and reporting to database locking, ensuring that the completeness, accuracy and consistency of clinical data meets the quality standards and regulatory requirements for analysis and reporting.   This position also provides expertise in relevant data management areas and cross-functional initiatives, including the development of departmental processes, tools, and training of staff. In this role your key tasks will include: Lead and serve as primary contact for DM with all relevant parties both internally (e.g. Clinical Programmers, Data Scientists, Project Management, Clinical Operations/Monitoring, Clinical Monitoring, Biostatistics and other functional groups) and externally (e.g. sponsors, vendors (EDC, external data), and investigational sites) Plan and project the resources required including management of tasks, timelines, risk and quality Monitor tasks against and keep track on budget, forecasts and manage changes of scope, budget, revenue recognition. Develop, review and maintain project-specific DM documents including data management plan (DMP), eCRF specifications, data validation plan (DVP) and external data transfer agreements throughout the lifecycle of the project and ensure adherence to the project requirements Lead and coordinate the development of clinical study database set-up, including eCRF design and database validation requirements Participate in the review of study documents (e.g. protocol, Project Plan, safety plans/manuals and statistical analysis plan), lead and coordinate the review of (electronic) case report forms (eCRFs) Coordinate, oversee and ensure the database User Acceptance Testing (UAT) related tasks are successfully completed Create training materials for EDC users and provide project-specific training as required Lead and oversee the review and validation of clinical data to ensure consistency, accuracy, integrity and completeness Create data cleaning strategy in consultation with applicable functional groups and oversee data releases (such as for DETC/DSMB/IDMC, interim and final locks, updates after lock) Perform and/or coordinate various data transfers and reconciliation activities including (but not limited to) SAE, PK, and (other) external laboratory data Provide project metric reports, status updates, study progress, feedback and advice to project team on site performance issues, data trends and protocol non-compliance Organize and lead Quality Review activities during study Assist in project-related contracts negotiation and contracting process with vendors (EDC, IRT, eCOA) Manage the database maintenance, lock and close-out processes and procedure Participate in conference calls and/or meetings with vendors and sponsors Recognize and solve potential problems and evaluate effectiveness Maintain DM study documentation on an ongoing basis and ensure that all filing is up to date Plan and create necessary documentation to support internal and external audits; may participate in such audits assigned Help to align data management and clinical programming best practices, standards and conventions within the company Provide leadership, expertise and support to other department members. Propose and support initiatives for improving efficiency Actively support to staff learning & development within the company Share relevant information at applicable DM departmental meetings and organize and lead DM-related meetings and discussions Represent the company at professional meetings, webinars or seminars Train and mentor data management staff, support in development of new training material and provide training to relevant staff Participate in the interview process for new recruits Proactively track Data Management related regulatory development trends and updates, in consultation with department Global Head and/or Director, for further alignment and improvement of current processes Contribute as Clinical Data Management Subject Matter Expert (SME) to the evaluation/improvement/drafting of processes and procedures within the Quality Management System Assure good communication and relationships with (future) clients Contribute to and take part in client evaluations and visits Support in preparation of new proposals and budgets for Data Management services Contribute to other areas of business as required Requirements To be successful you will possess: Life science, healthcare degree and/or combination of education and experience Minimum 5 years of relevant work experience as Clinical Data Manager in CRO environment Minimum 5 years of experience in drug development and/or clinical research Thorough knowledge and understanding of ICH-GCP, 21CFR11 data privacy (GDPR/HIPPA) guidelines and awareness of local/regional requirements Good understanding of Medical Terminology Experience with electronic data capture (EDC) software systems and other tools for managing clinical studies, including IRT and eCOA Experience as DM lead on several studies, preferably in different Therapeutic Areas and clinical development phases. Experience in covering all phases of a clinical study (start up, conduct and database lock). Thorough understanding of relational database components and experience in technical data management practices (validation plans, testing, and documentation Experienced in CDISC conventions, i.e., CDASH, TAUG models and hands-on experience implementing these models Experience in developing data management standards Strong written and verbal communication skills including good command of English language Representative, outgoing and client focused Ability to work in a fast-paced challenging environment of a growing company Proficiency with various computer applications such as Word, Excel, and PowerPoint required Administrative excellence Attention to detail, strong technical, analytical and problem-solving skills Strong project management skills Ability to translate guidelines, rules and regulations in clear and usable recommendations Ability to simplify complex issues into understandable concepts Excellent organizational, negotiating and motivational skills Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our in-office work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-BL1

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE. Halter’s Predictive Systems group is dedicated to the development of advanced models to provider farmers with the most accurate insight to optimise their operations. To provide farmers with the highest quality insights, we’re building upon the bleeding edge of scientific advancements with unmatched access to rich, novel data to develop a cutting edge agricultural modelling system. You’ll play a pivotal role in one of the machine learning teams within the group, where you could be building advanced models of pasture growth and land properties that power intelligent, modelling animal state, health and activity, and much more. Applications could range from remote sensing of pasture biomass, identification of animal heat events, to grazing interval simulation for advanced recommendations. You will be owning end to end development of machine learning pipelines, advanced contemporary modelling, to deployment and monitoring. You will work with great team-mates in engineering, product and design to achieve outsized results. The impact of our work is profound, and we take that responsibility seriously. As a member of the group, you'll share our passion for technology and our commitment to optimizing the management of pastural grazing systems. You will be responsible for: - 🌱Modeling, from biological processes to farm operations: You will drive development of predictive systems to solve real-world challenges faced by farmers. - 📚Research, from technical to agriculture: you will be required to conduct extensive literature reviews, and stay ahead of the curve with respect to both machine-learning systems, and pasture science. - 🛠️Model development: design, dataset construction, training and optimization: Rarely do we utilize a model off the shelf. You will own the architectural design, and all phases of model development. - 👀Supporting your work in production: Halter engineers demonstrate a high level of ownership. We support what we build, and we learn from our systems behavior in the field. - 🧠Proactive innovation: As a member of the data discipline it is expected that you will exercise a high degree of creativity to proactively deliver innovative ideas. WHO ARE WE LOOKING FOR. - You are a high-output generalist: You will be required to work with autonomy across infrastructure, databases, simulation, and ML development. You will be restless with respect to advancing your own impact across the stack, leveraging AI companion tools and agents. - You are a machine learning expert: You will be joining a highly capable team of technologists with deep experience in machine learning and complex systems. You will be required to provide extra strength in machine-learning theory, and its application to maximizing pasture efficiency. - You have experience delivering highly complex predictive systems at the bleeding edge of research: Experience translating academic research into practical applications that add value to the world. You may be required to work on a range of problem-sets, from multi modal time-series modelling, to simulation systems.You are deeply curious and willing to become an expert in pasture-based farming.  - Our farmers expect us to know farming as well as they do, understand why they do what they do, and identify where they can do it better. Curiosity beyond technology and into the agricultural domain will be a strong motivation for you. - You are a product-minded, strategic thinker: Halter is in the enviable position of possessing an immense depth of farm-data. You will be adept at mapping opportunities across our data-lake to systems that add positive value to farmers and ranchers. - You embrace uncertainty and ambiguity: Uncertainty is intrinsic in the ambition of our team and company. We take big, calculated strides, and we embrace the challenge to do so.You are a highly effective collaborator and incredible teammate. MORE CONCRETELY: - You have a deep academic and/or professional background applying machine learning to solve real-world problems (e.g. a research oriented postgraduate degree in mathematics or computer science, with relevance to modelling with deep neural networks) - Demonstrated experience designing, deploying, and monitoring machine learning systems to productionStrong causal reasoning and an ability to design models that reflect real-world dynamicsStrong data intuition and ability to work with noisy, high volume, high-dimensional datasets - Fluency in Python and experience contributing to or working on complex, collaborative codebasesProficiency in contemporary AI companions and tooling for software and engineering productivity (e.g., Copilot, ChatGPT, Cursor, Claude-code) - Excellent communication skills and a collaborative working style across disciplines - Some experience in advanced ML architectures (Transformers or SSM), agent-based systems or recommendation systems is a plus, but not required. OUR OFFICE FIRST APPROACH. There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other.   JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"