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Location: Philippines; South Africa; Jamaica; Ethiopia; Morocco About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the company Our client is a dynamic performance marketing and digital media agency dedicated to driving high-impact growth for brands through innovative advertising strategies and data science. Operating at the intersection of creativity and technology, the team specializes in lead generation, customer acquisition, and multi-channel campaign management tailored for diverse global markets. By leveraging advanced analytics and proprietary optimization tools, they help businesses scale their digital footprint and maximize return on investment across competitive landscapes. As a fast-growing scale-up, the company fosters a collaborative, remote-friendly environment where team members are encouraged to take ownership of complex projects. The culture is built on agility, continuous learning, and a passion for staying ahead of shifting digital trends. They are currently expanding their international reach, offering candidates the opportunity to work on high-velocity marketing initiatives that deliver measurable results for a broad portfolio of clients. Job Summary We are seeking a seasoned hospitality professional to serve as the central hub for our diverse portfolio of boutique hotels, Bed & Breakfasts, and premium short-term rentals. This is a high-impact, fully remote role designed for a technical expert who can seamlessly bridge the gap between traditional hotel guest services and modern short-term rental logistics. You will own the end-to-end guest journey—from managing complex inventory across major OTAs to delivering elite-level support—ensuring every guest receives a flawless, five-star experience from booking to checkout. Key Responsibilities Comprehensive Guest Relations: Act as the primary point of contact for all inquiries, managing a wide range of needs including hotel-style special requests, check-in logistics, and real-time troubleshooting. Masterful Inventory Management: Oversee calendar availability, rate synchronization, and reservation modifications using Guesty and Uplisting across a mixed portfolio. Platform & Reputation Management: Proactively manage listings and respond to guest reviews on Airbnb, Booking.com, Expedia, and Google to protect brand integrity. Operational Coordination: Synchronize daily with on-site hotel staff and remote maintenance/housekeeping teams to ensure smooth turnovers and property readiness. Dispute & Administrative Oversight: Handle OTA disputes, chargebacks, and overbooking preventions, while maintaining meticulous administrative records and arrival reports. On-Call Support: Provide reliable out-of-hours coverage to address urgent guest messages and emergencies during evenings and weekends. Requirements System Mastery: Extensive hands-on technical expertise in Guesty and Uplisting is non-negotiable. Mixed Portfolio Experience: 2+ years of experience managing reservations and guest relations for both traditional hospitality (Hotels/B&Bs) and short-term rentals. Native-Level English: Exceptional written and verbal communication skills with a professional, empathetic, and hospitable tone. UK Schedule Alignment: Strict adherence to UK business hours and the flexibility to monitor requests during evenings and weekends. OTA Expertise: Deep knowledge of Airbnb, Booking.com, and Expedia Group, including rate plans and dispute resolution frameworks. Autonomy: Highly organized and self-motivated with the ability to manage a complex portfolio independently. Nice-to-Haves Experience using dynamic pricing tools such as PriceLabs or Beyond Pricing. Familiarity with hotel-specific channel managers like SiteMinder. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: South Africa; Egypt; Ethiopia; Morocco; Philippines About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, and tech platforms across industries such as SaaS, Logistics, MarTech, and FinTech. Unlike traditional outsourcing agencies, we place you directly with a client, where you are hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a results-oriented Business Development Manager to lead our expansion within the UK logistics market. This role is pivotal to our growth strategy, requiring a strategic "go-getter" who can identify high-potential opportunities and convert them into long-term partnerships. Working remotely and reporting directly to the leadership team, you will have the autonomy to own the full sales cycle and the support of an established logistics infrastructure to ensure your clients receive world-class service. Key Responsibilities Identify and qualify new business opportunities across road, air, sea freight, and warehousing services. Proactively build and manage a robust sales pipeline through independent outreach and lead generation. Lead client meetings and presentations to showcase end-to-end logistics solutions. Convert prospects into active accounts with a target of acquiring 4–6 new clients per month. Maintain meticulous records within the CRM to track communication and pipeline health. Coordinate with internal operations teams to ensure smooth onboarding and service delivery for new clients. Requirements Proven experience in the logistics industry, preferably with a focus on the UK market. Demonstrated track record in business development, lead generation, and closing new business. Exceptional English communication skills with a neutral accent and a professional email writing style. Proficiency in CRM systems (HubSpot preferred) and digital sales tools. Ability to work independently with high initiative and a results-driven mindset. Must be available to work UK business hours (8:00 AM – 5:00 PM GMT) in a remote capacity. Nice-to-Haves Extensive experience in B2B sales. Previous experience working with small to medium-sized enterprises (SMEs). Existing network within the logistics or supply chain sector. Benefits 🌎 Fully remote role – work from anywhere 🚀 Join a fast-growing logistics tech company expanding across Europe 🎯 Performance-driven incentives and commission structure 🤝 Structured onboarding and ongoing sales training

Location: Dhahran, Saudi Arabia Eram Talent, a division of Eram Group, is an ISO 9001:2015-certified provider of human resources, industrial projects, and maintenance services solutions across a wide range of sectors, including Oil & Gas, petrochemical, power, infrastructure, water, mining, healthcare, and IT. With deep industry exposure and a strong focus on quality, the company supports organizations in delivering critical operational and technical outcomes in complex environments. This opportunity sits within the Oil & Energy space and is suited to a specialist who can help strengthen the quality, consistency, and usability of subsurface petrophysical data. The role plays an important part in supporting reliable data practices and enabling technical teams to work with trusted information across subsurface systems and workflows. Responsibilities Validate 1D data packages against corporate standards, identifying and resolving formatting, depth, or metadata errors. Liaise between technical users and service providers/IT to define requirements and ensure seamless data flow into subsurface systems. Apply data governance rules, maintain submission templates, and consistency of data storage practices. Monitor data quality metrics and provide technical support to internal stakeholders. Requirements Experience Minimum 10 years of experience in Oil & Gas, specifically in petrophysics and data quality management. Education Bachelor's or Master's degree in Geology, Geophysics, or Petroleum Engineering. Technical Skills Deep knowledge of well log and core physics. Experience with LAS/ASCII petrophysics data formats and subsurface information systems such as Techlog or Petrel. Advanced capability in data analysis, data science, or business analytics. Advanced skills in Excel, SQL, or Python for data validation are preferred. Soft Skills Professional proficiency in English, with strong communication skills and the ability to resolve conflicts and work effectively across multiple departments. Selection criteria Excellent project management capabilities. Experience coordinating work across multiple departments to resolve data or process issues is a plus. Preferred certificate Master's degree in Data Analysis, Data Science, Business Analytics, or MIS is preferred.

Location: Morocco; Egypt Description Intetics, a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Golang Developer to enrich its team with a skilled professional who will help drive innovation and deliver cutting-edge solutions. We specialize in high-performance backend development, cloud-native applications, distributed systems, and scalable microservices architectures . Our projects span across various industries, including IoT, cloud computing, fintech, AI-driven solutions, and real-time data processing . We are looking for a passionate and ambitious Golang engineer who can take ownership of backend development, selecting the right technologies and tools to build robust and scalable solutions. If you thrive in an innovative environment and can transform ideas into working solutions, we invite you to join our team. We are seeking Senior Golang Developers to contribute to our growing team and work on complex, high-load backend systems. Primary Responsibilities: Develop, optimize, and maintain scalable, high-performance backend applications using Golang . Design and implement microservices-based architectures and cloud-native solutions. Ensure code quality, scalability, and maintainability through best development practices. Participate in code reviews, design discussions, and architecture decisions . Work closely with cross-functional teams to design and deliver high-impact solutions. Troubleshoot and optimize existing systems for performance, security, and reliability . Contribute to technical documentation and knowledge-sharing within the team. Responsibilities: Requirements: 5+ years of experience in software development, with a strong focus on Golang . Solid understanding of concurrent programming, distributed systems, and microservices . Experience working with RESTful APIs and gRPC . Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Knowledge of CI/CD pipelines, automated testing, and DevOps practices . Strong problem-solving skills and the ability to work independently. Excellent communication and teamwork skills. Nice to Have: Experience with message brokers (Kafka, RabbitMQ, NATS). Understanding of GraphQL, WebSockets, and streaming architectures . Experience in AI/ML, IoT, or blockchain-related projects . Familiarity with security best practices in backend development. Prior experience working in Agile/Scrum development environments . Experience with IntelicsML

Location: Morocco; Egypt Intetics Inc., a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for Senior .Net Engineer to enrich its team with a skilled professional to spread company’s ideas, vision, content and messages. Responsibilities: Develop and maintain a high-performance image processing system capable of processing up to terabytes of 3D images and raster images per day. Availability 24/7 Implement algorithms and techniques to efficiently process and analyze images, including image segmentation, feature extraction, and object recognition Develop tools and applications (back-end) to visualize and manipulate 3D images and point cloud data Optimize processing speed and memory usage for maximum efficiency Implement database management solutions to store and retrieve image data efficiently Implement integration with embedded devices via gRPC protocol. Collaborate with other team members, including microscope hardware engineers, to ensure seamless integration of the image processing system with the overall workflow. Requirements Technical Skills: Extensive experience in C# programming language (.NET/.NET Core) Strong understanding of performance optimization, image processing algorithms and techniques Experience with raster image processing and manipulation Familiarity with image file formats, including TIFF, JPEG, and PNG Knowledge of multithreading and parallel processing Experience with SQL and large storage database management (MS SQL or PostgreSQL) Libraries Experience: Familiarity with .NET libraries, such as ADO.NET, Entity Framework, or Dapper Familiarity with gRPC protocol. Nice to have: experience with image processing libraries, such as OpenCV, EmguCV, or ImageMagick. Nice to have: experience with healthcare image processing in general, or Zeiss CZI in particular. Experience with IntelicsML

Location: Bangalore, India Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale. You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly. You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity. Responsibilities Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle. Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback. Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks. Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques. Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success. Build and scale training workflows across distributed GPU infrastructure. Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks. Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development. Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements. Publish research findings in top-tier AI conferences and journals where applicable. Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred. Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback. Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks. Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks. Experience adapting models for resource-constrained environments. Proven open-source contributions in multimodal AI on GitHub or HuggingFace. Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.) Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Dubai, United Arab Emirates Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale. You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly. You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity. Responsibilities Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle. Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback. Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks. Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques. Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success. Build and scale training workflows across distributed GPU infrastructure. Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks. Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development. Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements. Publish research findings in top-tier AI conferences and journals where applicable. Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred. Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback. Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks. Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks. Experience adapting models for resource-constrained environments. Proven open-source contributions in multimodal AI on GitHub or HuggingFace. Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.) Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: London, United Kingdom Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale. You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly. You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity. Responsibilities Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle. Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback. Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks. Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques. Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success. Build and scale training workflows across distributed GPU infrastructure. Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks. Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development. Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements. Publish research findings in top-tier AI conferences and journals where applicable. Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred. Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback. Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks. Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks. Experience adapting models for resource-constrained environments. Proven open-source contributions in multimodal AI on GitHub or HuggingFace. Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.) Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of the AI model team, you will drive innovation in training and optimizing vision-language models with a focus on real-world deployment. Your work will span the full model development lifecycle - from data curation and training pipeline design to model evaluation and optimization - with the goal of building models that are both highly capable and practical to deploy at scale. You will work across a wide spectrum of multimodal architectures integrating text and vision, applying state-of-the-art research to improve model quality, efficiency, and domain-specific performance. We expect you to bring a research-driven mindset combined with strong engineering discipline - someone who can identify the right technique for a given problem, implement it rigorously, and measure its impact clearly. You will work closely with a small, high-caliber team where your contributions will have direct and meaningful impact. If you are passionate about pushing the boundaries of what multimodal AI can achieve in production environments, this is your opportunity. Responsibilities Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle. Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback. Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks. Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques. Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success. Build and scale training workflows across distributed GPU infrastructure. Identify and resolve bottlenecks in training pipelines to achieve state-of-the-art model quality on target benchmarks. Contribute to and leverage open-source ecosystems including models, datasets, and tooling to accelerate development. Stay current with the latest research in multimodal learning and vision-language systems, translating relevant findings into practical improvements. Publish research findings in top-tier AI conferences and journals where applicable. Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred. Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback. Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks. Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks. Experience adapting models for resource-constrained environments. Proven open-source contributions in multimodal AI on GitHub or HuggingFace. Publications at top AI conferences (NeurIPS, ICML, ICLR, CVPR, ECCV etc.) 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: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As an Account Executive | Mid-Market at Ramp, you are a proven hunter & sales closer with track record of quota attainment and overachievement. We believe strongly in our value proposition of aligning incentives with our customers and you will bring it to life through the sales process with C-Level executives and key decision makers. As an early member of the team, you will also have the opportunity to help build the sales engine and define the sales strategy that fuels the growth of the company! WHAT YOU’LL DO - Drive revenue for Ramp, owning the entire sales cycle through close - Develop strategies for closing opportunities within your assigned territory - Leverage sales methodologies to uncover customer needs and pain points - Articulate Ramp’s value proposition by using the appropriate sales qualification standards - Own sales activity and monthly revenue forecasting in Salesforce - Collaborate with product, design, and engineering teams to incorporate customer feedback WHAT YOU'LL NEED - Minimum 4 years of quota-carrying direct SaaS sales experience in a full cycle closing role with strong prospecting, qualifying, negotiating, and closing skills - Experience closing upwards of 20 deals a quarter, with an average deal size about 50K in ACV - Ability to discuss Ramp's value proposition with C-level executives, finance teams, and decision makers - Experience with outbound prospecting and conducting product demonstrations - Consultative sales approach and comfortable leveraging analytical & quantitative skills - Consistent track record of hitting or exceeding sales targets in a fast-paced environment - High adaptability and understanding of change within the evolution of a startup - Excellent verbal and written communication skills NICE TO HAVES - Experience selling financial services EARNING POTENTIAL & CAREER GROWTH At Ramp, top performance is rewarded with industry-leading compensation and exceptional earning opportunities: - Top Performers Excel: The top 20% of Individual Contributors achieved an average weighted quota attainment of 266% in H1 2026. - High-Earning Upside: The top 20% of Individual Contributors are projected to earn an annualized total compensation averaging ~$600k based on H1 2026 results. - Rapid Career Progression: Over the past year (Aug 2025 – Aug 2026), 65% of Account Executives in role for 12+ months earned promotions. Individual compensation and advancement results vary based on segment, territory, tenure, and market conditions; past performance does not guarantee future earnings. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As Senior HR Business Partner for G&A, you'll be the primary HR advisor to Finance, Legal, People, and Security & IT leaders, partnering directly with Vercel's C-suite to build people strategies that grow talent and sustain a high-performance culture. You'll drive org design, talent planning, and performance management across these teams, embedded enough in the business to turn strategy into day-to-day execution. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What you'll do Serve as the primary HR advisor to senior leaders across Finance, Legal, People, and Security & IT, translating business objectives into org design, workforce planning, and talent development strategies Drive talent review, performance management, and compensation calibration cycles across supported organizations Coach and develop leaders at every level, from ICs to VPs, on people management, feedback, and performance Partner with Legal on employee relations, compliance, and risk mitigation across global jurisdictions Use people data and engagement signals to drive continuous improvement in People programs, onboarding, and employee experience What you need 10+ years of progressive HR experience, including 3+ years as a senior HR Business Partner or HR generalist supporting corporate or G&A functions such as Finance, Legal, or Security and IT Experience operating in a global, high-growth technology company, including startup experience Deep expertise in organizational design, performance management, talent planning, and employee relations Experience building trust with senior executives and operating as a strategic, embedded business partner to leadership teams Bonus if you Have experience with HR systems such as Workday, Greenhouse, or Notion Have guided an HR organization through a major inflection point, such as IPO readiness, M&A integration, or rapid scaling Have led calibration or compensation review cycles across multiple client groups Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000 to $220,000. Actual salary will be based on job-related skills, experience, and location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s The Opportunity? Fin is looking for an exceptional Solutions Architect to join our vibrant Customer Solutions Team. In this role, you’ll engage directly with our customers as their trusted advisor, playing a pivotal part in defining and demonstrating value across the entire sales cycle. With a natural curiosity, independent thinking, and strong problem-solving skills, you’ll partner closely with Product, R&D, and Engineering to ensure our customers’ needs and insights are at the core of our AI powered solutions. What Will I Be Doing? Lead technical discovery to identify and address our customers’ needs Deliver an exceptional pre-sales experience by articulating Fin's value and technical expertise Conduct impactful, value-based solution reviews and in-depth technical sessions Design and lead tailored Proof of Concepts (POCs) that showcase Fin's capabilities Serve as the primary resource for RFPs and customer security questions, utilizing standardized materials and escalating complex issues Collaborate cross-functionally with Product and Engineering to represent the customer voice, gathering feedback and insights for product planning Build trust with customers by approaching challenges with empathy and curiosity Continuously improve processes and contribute to building a best-in-class Solutions Engineering playbook at Fin Commit to customer success, ensuring lasting value and proactively addressing challenges What Skills Do I Need? Minimum of 4 years of experience in a technical pre-sales role, managing C-Level technical and business relationships Strong technical acumen with experience in conducting technical discovery and delivering high-impact value presentations. Ability to solve problems independently while thriving in collaborative team environments Proven time management skills in a dynamic team environment Demonstrated ability to quickly identify and communicate the value proposition throughout the sales cycle. Leverage your skills in translating complex business challenges into tailored Fin solutions, effectively communicating with both technical and non-technical audiences to drive understanding and impact. Experience working closely with product and engineering teams to communicate customer feedback and influence product direction. Familiarity with managing POCs, RFPs, and addressing complex security questions. Excellent communication and interpersonal skills, with a passion for leading with empathy and curiosity Ability to challenge the status quo and continuously improve Solutions Engineering processes and playbooks Bring an open mind, be a collaborative colleague with a commitment to go above and beyond to drive the success of your team and the company Willing and able to travel occasionally #LI-Hybrid #LI-RH1 Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Toronto, Ontario, Canada 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 building data pipelines to power the modern data stack for thousands of companies. We’re seeking an enthusiastic Staff Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our NoSQL data pipeline services. This is a full-time position based out of Fivetran's Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration. Technologies You’ll Use Java NoSQL Databases (MongoDB, Amazon DynamoDB, Azure Cosmos DB, Elasticsearch, Firebase) Relational Databases (Db2 z/OS, CockroachDB) GCP, Azure, AWS Bazel, Github Claude Code, ChatGPT Codex What You’ll Do Write and deliver code reliably, along with automated tests (unit and integration). Optimize critical parts of the code. Lead team projects. Identify risks and break down projects into tasks for one or more engineers with effort estimates. Drive innovation by experimenting with new technologies and problem solving approaches. Independently create technical designs for major features while actively seeking feedback. Write common components to be used within the team or department. Mentor engineers on improving all aspects of their code, according to established coding practices. Resolve customer issues in collaboration with customer support. Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring. Use AI coding agents to automatically generate code for use cases such as incident resolution, feature development, testing, and investigations. Skills We’re Looking For Expert in Java development Experience developing reliable software with high-volume data management under strict SLAs Experience working with popular cloud platforms (e.g. AWS, GCP, Azure) Expert in database internal architecture (e.g. you can explain how a database internally responds to particular events and requests) Knowledge of popular NoSQL databases (e.g. MongoDB, Amazon DynamoDB) Knowledge of and appreciation for clean code practices Leverages and keeps up with the frontier of agentic AI development Optional Bonus Skills Experience working with MongoDB and/or Amazon DynamoDB change data capture Experience developing data integration tools (ETL or ELT) Experience identifying and optimizing performance bottlenecks in distributed systems #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $167,548 — $209,435 CAD 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: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role We are seeking an exceptional Staff Applied Researcher to join our Applied Science team. You will be responsible for building the algorithmic systems that power Garner — determining how we evaluate providers, make recommendations, and optimize for outcomes across cost, quality, and access. You will be responsible for turning ambiguous, real-world problems into systems that deliver measurable impact, defining the objective functions, metrics, and logic that drive our product. You will own these systems end-to-end, from problem definition through production and ongoing performance. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner Review applied science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred A bias toward action, quickly translating ideas into working prototypes to test approaches Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong communication skills, including at the executive level, with a track record of driving alignment across an organization A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. Why this role This is a unique opportunity to work on high-impact search problems in healthcare, helping shape how members find better care through algorithmic systems that directly influence healthcare outcomes. Compensation Transparency: The target base comp range for this position is $260,000 – $382,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Austin, Texas, United States Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. Director of Engineering – Data Platform About Vectra AI Vectra AI is transforming cybersecurity through AI-driven threat detection and response.Our platform ingests and analyzes petabytes of customer telemetry, including network packets, logs, identity signals, and security events, to surface real-time insights, advanced detections, and autonomous security outcomes. The Data Platform organization sits at the heart of that mission, powering analytics, detections, machine learning, and next-generation AI capabilities. The Opportunity We're looking for a Director of Engineering to lead the teams that form the foundation of everything Vectra builds. You'll own the systems that ingest, process, store, and analyze petabytes of security telemetry daily, and you'll drive the platform forward to support modern AI workloads, autonomous security workflows, and next-generation analytics. This role is first and foremost an organizational leadership role, but technical credibility is non-negotiable. You'll need to be architecturally fluent, able to engage deeply on system design, challenge assumptions, and identify risks before they become problems. You'll work closely with our platform architects on technical direction, but you're expected to bring your own point of view and push back when something doesn't hold up. What You'll Do People and Organizational Leadership Build, grow, and mentor high-performing engineering teams across multiple geographies. Develop engineering managers and senior technical leaders through coaching, sponsorship, and career investment. Foster an inclusive culture built on trust, ownership, and accountability, where distributed teams can do their best work. Create the conditions for strong execution: clear priorities, healthy team rhythms, and an environment where engineers can focus on meaningful work. Cross-Functional Leadership Align priorities and investment decisions with Product, Security Research, AI, Infrastructure, and Customer teams. Communicate platform strategy, progress, risks, and trade-offs clearly to executive leadership. Partner with customer-facing teams to understand evolving data requirements and scaling challenges. Influence company-wide direction around data, AI, and platform capabilities. Execution and Operational Excellence Lead delivery of large-scale platform initiatives, balancing innovation, reliability, and speed. Set engineering best practices across data processing, schema evolution, data quality, and service-level objectives. Own production operations, incident management, and continuous improvement. Ensure predictable delivery while keeping a clear line of sight to customer impact and long-term platform health. Technical Strategy and Platform Direction Engage deeply on architecture decisions for scalable, reliable, and AI-ready infrastructure, able to ask hard questions, identify gaps, and pressure-test designs alongside platform architects. Champion a platform-first mindset with self-service APIs, strong developer tooling, observability, and documentation that accelerate Data Science, AI/ML, and product teams. Drive adoption of modern platform capabilities including feature stores, vector storage, and model serving infrastructure. Champion the use of AI to improve engineering productivity, software delivery, and incident response. What You'll Bring Required 10+ years of software engineering experience, including 5+ years leading engineering organizations. Proven track record building and operating large-scale data platforms in production. Deep expertise across large-scale data infrastructure: distributed systems, data ingestion pipelines, stream and batch processing, and storage systems at scale including object stores, columnar databases, and time-series systems. Champion the use of AI to improve engineering productivity, software delivery, and incident response. Experience with Databricks, including Spark-based processing and the Databricks platform ecosystem. Experience running ML or AI workloads in production, including platforms, feature stores, or inference infrastructure. Operational mindset: SRE principles, incident response, and a culture of reliability. Experience building or operating platforms that support LLM-based applications, including retrieval, embeddings, and model serving. Preferred Background in cybersecurity, NDR, SIEM, XDR, observability, or related domains. Track record optimizing cloud costs and performance at scale on AWS, Azure, or GCP. Background in real-time detection systems or streaming analytics What Success Looks Like A platform trusted and widely adopted by Data Science, AI, and engineering teams, known for reliability, self-service, and ease of use. Faster time-to-production for analytics, detections, and AI-powered applications. Reduced time from telemetry ingestion to model experimentation and deployment. High-performing teams with strong leadership pipelines and a culture people want to stay in. Industry-leading infrastructure supporting both advanced detections and autonomous security operations. Why This Role Matters Every detection, investigation, and AI-driven insight Vectra delivers runs on the platform you'll lead . You'll shape the organizational and technical direction of a platform that protects organizations worldwide from some of the most sophisticated threats in existence, and you'll build and develop the teams that make it possible. Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position. Vectra Total Rewards $189,000 — $222,300 USD Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: Palo Alto, California Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way. Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries. Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build. About The Role We're looking for a talented, driven Senior Software Engineer to build the critical infrastructure that powers the Aptos blockchain ecosystem. This role will have significant impact and visibility - the systems you build will directly enable thousands of developers to build on Aptos. You'll work on APIs, indexers, node infrastructure, SDKs, and developer tools that form the foundation of the network. You'll help shape technical direction and may grow into leading other engineers as the team scales. You should love solving hard distributed systems problems and have a passion for building robust, scalable infrastructure. You will be joining a lean team with a lot of autonomy – you should be a self-starter and thrive on self-directed work in a fast-paced environment. This role sits in our Palo Alto, CA or New York, NY office. What you'll be doing: Leading initiatives to design, build, and optimize backend services and platform infrastructure for the Aptos blockchain Developing scalable APIs, indexing services, and data pipelines to support blockchain data access Building and maintaining infrastructure for node operations, monitoring, and observability Building and maintaining SDKs, libraries, and developer tools Writing clean, performant, well-tested, and production-ready code Collaborating closely with protocol engineers, infrastructure teams, and product engineers What you bring: 5+ years of experience building and shipping scalable backend systems Strong experience building backend systems in languages such as Rust, Go, C++, Java, Python, or similar Deep understanding of systems programming concepts Strong understanding of distributed systems, databases, and API design Strong problem-solving skills and the ability to work autonomously in a fast-paced environment Experience with blockchain infrastructure, indexing, or node operations (a plus) Web3 experience or familiarity (a plus) Background in payments, DeFi, or TradFi (a plus) Comfortable leveraging AI tools to enhance productivity and code quality The base salary range for this full-time position is $160k - $260k. The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. We do hire exceptionally talented professionals with decades of experience in their field. As such, our range may be higher than what is displayed. Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits. #LI-PG1 Our Benefits 100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees) Equipment of your choice Flexible vacation time, 11 holidays, and floating company days off Competitive Salary Protocol Token Grants 401k matching (US Employees) Fun and inclusive in-person and digital events Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need. We are committed to providing a safe and secure hiring process for all applicants. Unfortunately, there are individuals who may attempt to impersonate Aptos or our employees for fraudulent purposes. To protect yourself, please be aware of the following: We will never ask you for payment of any kind during the application or onboarding process, including fees for background checks, training, or equipment. We will always communicate with you using our official company email domain. We will never request your personal financial information, such as your social security number or bank account details, during the initial application stages or via email or a video/voice call when onboarding.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE DATA TEAM - Being part of Alan's data team means you'll have a positive impact on people's health and wellbeing. - We create insights to help our colleagues focus on what is most impactful. - We build features and tools powered by data that directly help our members. - Examples include: - going deep into health consumption patterns, - understanding our product usage, - creating visibility to help our sales team perform, - automating how we reimburse our members, - building products that help our members stay healthy...  We also believe in having a full stack approach: - Each one of us contributes to all 3 aspects of the data spectrum (analytics, engineering, science). This encourages strong ownership and drives impact. - We own our infrastructure. We pride ourselves on a nimble data stack that gives us the flexibility we need. We're mainly using SQL, Python, R, Airflow, Snowflake, and Metabase. - We build in-house tooling to organize our data and serve it to the rest of the company. 🎯 EXPECTED SKILLS AND ABILITIES You would thrive at Alan if most of this sounds like you: - Passionate about owning ambitious problems and developing simple solutions for them - Demonstrated impact during a first successful experience. - Experience or willingness to grow in all 3 aspects of the data spectrum (analytics, engineering, science) -- being specialized in one of these areas is good too! - Proficient in SQL, Python and/or R- Setting a high standard of rigor and precision for yourself, interested in your craft - Great listening and communication skills - Humble, kind, collaborative, and still willing to grow (no matter your seniority!) - Fluent and clear in English, both oral and written (no need to speak French!) For this role we are looking to hire within the C1-E level range https://alan.com/en/careers/a/salary-equity. ⚙️ IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21.

Location: Chicago, IL; Los Angeles, CA; New York City, NY; San Francisco, CA Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We’re looking for a strategic operator and program manager to join the GTM Excellence team within Reddit’s GTM Strategy & Operations organization. GTM Excellence is responsible for transforming and scaling sales processes, policies, and programs to reduce friction in the sales cycle, drive systemic consistency, and increase seller productivity. In this role, you will help shape how Reddit scales. You will own ambiguous, high-impact opportunities, turn them into clear recommendations, and lead the work from idea to execution. The right candidate brings strong judgment, a clear point of view on how Reddit should evolve its operations, and the ability to work across teams to drive change. This is a high-visibility role at the center of the Global Sales Organization’s operational excellence strategy, focused on building the systems and processes that maximize customer-facing time and create a seamless experience for Reddit advertisers. This role is required to be based in person in Chicago, New York, San Francisco, or Los Angeles. Responsibilities: Diagnose and prioritize business problems: Break down ambiguous, high-impact opportunities into clear problem statements, develop hypotheses, drive analysis, and identify the highest-impact opportunities to improve how Reddit operates. Decipher stakeholder feedback: Collect and translate feedback from a large group of stakeholders into clear, actionable business requirements. Design scalable processes and operating models: Evaluate how work gets done today, identify friction points and root causes, and design simpler, more standardized processes, policies, and ways of working that improve seller productivity and the advertiser experience. Develop policies and governance frameworks: Create clear, scalable policies and governance models that support consistent execution. Define guardrails, monitor adherence and effectiveness, and regularly review and update policies as business needs evolve. Develop recommendations and decision-ready materials: Turn analysis into clear recommendations, tradeoffs, and action plans. Create high-quality presentations, documents, and other deliverables that support executive discussion, decision-making, and alignment. Drive cross-functional alignment: Partner with stakeholders across Sales, Central Operations, Revenue Strategy & Ops, Enablement, Product Marketing, Product, Engineering, Finance, and Legal to gather input, pressure test ideas, align on the path forward, and accelerate execution. Lead implementation and champion change: Own work from idea to execution, including rollout planning, stakeholder communication, training, and adoption. Be willing to wear multiple hats across strategy development, project management, and execution to move the work forward. Measure impact and continuously improve: Define success metrics, track results, gather feedback, and refine processes over time. Establish governance and guardrails where needed to drive consistency without adding unnecessary complexity. Required Qualifications: 5+ years of experience in strategic program management, business process transformation, business operations, consulting, or a related field. Proven ability to operate in ambiguity and independently structure complex problems into clear recommendations and action plans. Strong strategic thinking and analytical problem-solving skills, with the ability to diagnose root causes and evaluate tradeoffs. Demonstrated experience designing and implementing standardized, scalable processes that improve operational efficiency and end-user experience. Strong executive communication and stakeholder management skills, with a track record of influencing cross-functional partners and driving alignment. Experience leading change across cross-functional teams, from initial problem framing through implementation and adoption. Ability to balance strategic thinking with hands-on execution; this role requires an owner, not a coordinator. Preferred Qualifications: Experience in digital advertising. Experience working in fast-moving, resource-constrained environments where judgment, prioritization, and initiative are critical. Familiarity with sales tools and technology that improve seller efficiency and productivity, including workflow automation and AI-enabled ways of working. Background in consulting, strategy, or transformation roles, ideally with experience operating in-house after consulting. Benefits: Comprehensive Health benefits 401k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation (please use them!) & Reddit Global Days Off 4+ months paid Parental Leave Paid Volunteer time off #LI-AT1 #LI-Hybrid Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $154,700 — $216,600 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.