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Location: United Kingdom; Canada; United States 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 startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives. This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment. Key Responsibilities Design, build, and deploy AI/ML models for real-world applications. Develop and optimize AI-powered features using modern frameworks and APIs. Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives. Build AI pipelines for data processing, training, inference, and monitoring. Collaborate with cross-functional teams to translate business needs into AI solutions. Integrate AI services into web applications, SaaS platforms, and internal tools. Fine-tune and evaluate machine learning models for performance and scalability. Maintain documentation and ensure AI systems follow security and compliance best practices. Stay updated with the latest advancements in AI, machine learning, and automation technologies. Requirements 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role. Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain. Experience working with LLMs, generative AI, prompt engineering, or AI agents . Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG). Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud. Understanding of APIs, microservices, and backend development. Experience with Docker, Git, and CI/CD workflows. Strong analytical and problem-solving skills. Excellent communication skills and ability to work remotely with global teams. Bachelor’s degree in Computer Science, AI, Data Science, or related field preferred. Experience with AI automation tools and agent frameworks. Knowledge of MLOps and model monitoring tools. Familiarity with NLP, computer vision, or recommendation systems. Experience building AI SaaS products or chatbots. Exposure to FastAPI, Node.js, or React-based applications. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Montreal; Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Principal Engineer to take architectural ownership of the agent-readable Shop Builder platform. This is the most senior individual contributor role on the DevX and AI team, and the decisions you make here — which surfaces to expose, which formats to support, which standards to set — will bind the platform for years. You are not a manager, but your influence is org-wide. You define how developers and AI agents interact with Shop Builder's foundational capabilities: UI as Data, custom blocks, themes, data binding, catalog, payments. You are the technical authority on what the platform exposes and how, and you are deeply hands-on with the hardest parts of that work.   ABOUT US Xsolla is a global payments and commerce platform for the games industry, used by thousands of publishers to monetize, distribute, and operate their titles worldwide. Shop Builder is Xsolla's storefront platform — used by publishers and game developers to launch and operate game shops, from straightforward catalog and webshops to fully custom storefronts built headless on our backend. For more information, visit xsolla.com. The DevX and AI team owns the public APIs, documentation, and AI features that give developers — and AI agents — the full surface they need to customize and extend Shop Builder. This is a net-new team of seven, standing up to fill a real gap: no dedicated team has owned the developer surface end to end. That changes now. Responsibilities Own the technical architecture of the agent-readable Shop Builder platform: which APIs to expose, in what shape, through which surfaces (REST, SDK, MCP, CLI). Define the interface contracts that LLMs and developers interact with — React component APIs, custom block schemas, theme tokens, data binding formats — and maintain them with the rigor of a public API. Design and lead delivery of the MCP server that allows AI agents (Claude Code, Cursor, etc.) to build, deploy, and operate Shop Builder storefronts end-to-end without the editor in the loop. Architect the CLI and local development environment: how developers scaffold projects, iterate locally, preview changes, and push to production. Define the deploy, versioning, and rollback model for developer-published content — custom blocks, themes, and layouts. Design the sandbox and preview environment system so agents and developers can iterate without touching live partner sites. Set the documentation standard: written for LLMs and humans as first-class users, maintained from single canonical sources and published to every surface (CLI help, dev docs, MCP tool descriptions, AI context). Lead the eval harness architecture: how the team measures whether an LLM-generated block, theme, or layout is correct before it ships. Collaborate with Principal/Staff Engineers across payments, auth, live ops, and catalog to pull inbound capabilities into coherent developer-facing surfaces. Serve as the technical bar-raiser for the team: define code standards, review critical implementation decisions, and mentor the Tech Lead and engineers. Contribute to hiring and define the technical culture of the team from day one. Qualifications & Skills 10+ years of professional engineering experience, with a demonstrated track record as a Staff or Principal engineer who has shaped platforms, APIs, or developer tooling used by external builders. Deep expertise in designing and shipping public APIs and SDKs, including versioning strategy, backwards compatibility, and developer ergonomics — strong opinions about what makes an API delightful vs. painful. Expert-level proficiency in JavaScript/TypeScript and React — the primary interface language for LLMs and developers on this platform. Hands-on experience building CLI tooling and local developer workflows (scaffolding, hot reload, file-based config, deploy commands). Solid understanding of the Model Context Protocol (MCP) or equivalent agentic tool-use interfaces, and practical experience building tools that AI agents can reliably invoke. Experience building systems at global scale on cloud infrastructure (AWS or GCP), with deep knowledge of containerization, CI/CD, and infrastructure-as-code. Ability to write and reason about LLM-friendly documentation and API surfaces: you understand that token-efficiency, predictability, and schema clarity matter as much as human readability. Exceptional technical communication: clear RFCs and ADRs, productive architecture reviews, and the ability to explain second-order consequences to engineering and business leadership. Comfort operating in a greenfield context — you define the structure rather than inherit it. Nice to Have Prior experience in game tech, digital commerce, or storefront platforms — understanding the publisher/developer relationship and headless vs. hosted deployment patterns. Experience building platforms where AI agents are a first-class user: MCP servers, LLM tool registries, agent eval pipelines. Familiarity with Figma's plugin/component API, design token standards, and design-to-code pipelines. Contributions to open-source developer tooling, SDK frameworks, or API standards. Background in block or extension marketplace design: sandboxing third-party code, schema validation, publisher ecosystems. Published technical writing, conference talks, or influential community presence in developer tooling or AI-native development. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.   We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For this role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: New York; San Francisco; Canada; United States; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? The Data Infrastructure team at Cohere is responsible for the storage and data movement layer underlying every model training run. We're building the unified storage layer that feeds our training workloads. It needs to serve petabytes of training data and model checkpoints fast enough to keep thousands of GPUs busy across several training clusters. In this role, you’d have an opportunity to build this system from the ground up. You’d be a key contributor, working on a problem few teams have had to solve at this scale. In this role, you will: - Design, build, and operate the distributed storage system that feeds model training and evaluation. - Run this system multiple on Kubernetes clusters at petabyte scale. - Work with researchers and training-infra teams on how jobs actually read and write data, and turn that into throughput, latency, and durability requirements - Work through the networking, I/O, and consistency problems of moving large datasets and checkpoints across regions and backends, with GPU idle time and time-to-insight as the measures of success You may be a good fit if you have: - Strong storage fundamentals, including replication, consistency, caching, and data lifecycle management. - Strong coding ability. We work in Python and Go; experience in either is enough, but you should be willing to pick up the other - Experience running stateful systems on Kubernetes, including Persistent Volumes, CSI drivers, and StatefulSets. - Hands-on experience with cloud object storage such as S3 as well as POSIX-style filesystems. It’s a bonus if you have: - Experience with parallel or HPC filesystems such as Weka, VAST, or Lustre. - Familiarity with the data-loading and checkpointing patterns used in large-scale model training. - An interest in how large models are trained and evaluated, including the trajectory and eval data those runs generate, and a desire to understand the workloads the platform is serving. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Задачи: — Продуктизация ML-моделей и пайплайнов — Интеграция моделей в backend и бизнес-контуры — Разработка API и сервисов для ML — Работа со стримингом данных (Kafka) — Участие в RnD и пилотировании новых ML-решений Требования: — Опыт разработки на Python от 3–4 лет — Высшее образование (законченное) — Опыт работы с ML-проектами (CV, NLP, RAG) — Опыт разработки REST API (FastAPI / Flask) — Опыт работы с Kafka — Понимание микросервисной архитектуры и сетевого взаимодействия — Базовое понимание Kubernetes — Опыт работы с SQL на среднем уровне — Умение работать с кодом Data Science и адаптировать его под production Будет плюсом: — Опыт работы с Airflow — Опыт работы с Hadoop / Spark Условия: — ДМС со стоматологией — Компенсация фитнеса — Скидки на курсы английского (Skyeng) и в кино — Индексация зарплаты — Современная техника для работы — IT-аккредитация

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.   ABOUT THE ROLE You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $185,000–$315,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York; Ohio; Rhode Island; New Jersey; Delaware; Maine; Maryland; Vermont; North Carolina; Florida; Massachusetts; South Carolina; Virginia; Connecticut; Georgia; Pennsylvania; New Hampshire Workplace: Remote The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. As a Senior Infrastructure Engineer in the Investigations group, you'll be a technical leader on the Government Systems team — the group responsible for the deployment platform and operational infrastructure that delivers Chainalysis Reactor to government and high-security customers. The mission of the Government Systems team is to ensure that Chainalysis's most security-sensitive customers can run Reactor reliably in their own environments — including networks with strict access controls and limited connectivity. Government Systems sits at the intersection of infrastructure operations and product delivery. Product teams own their application code, but rely on Government Systems to provision environments, manage release pipelines, and operate the deployment platform. As a senior engineer you will be the connective tissue between these groups — setting technical direction, resolving cross-cutting issues, and ensuring the platform evolves to meet growing demands. Note: This position requires eligibility to access U.S. Government information and systems. Due to applicable government security requirements, only U.S. citizens are eligible for this role. Due to collaboration with Europe, we are highly prioritizing candidates based in EST timezone. In this role, you'll: - Lead the design and evolution of RKE2 Kubernetes clusters across development, acceptance, and production environments — driving upgrades, capacity planning, networking strategy, and operational resilience - Architect and maintain infrastructure as code (Terraform) to provision and manage AWS-based environments, establishing patterns and modules that the team can scale with confidence - Own the CI/CD platform (GitHub Actions) end-to-end — designing pipeline architecture, improving build performance, and ensuring releases flow reliably through staged environments - Drive GitOps-based delivery strategy using Flux CD, defining standards for Helm charts and Kustomize overlays and ensuring consistent reconciliation across clusters - Define container image lifecycle policies — building, signing, storing, and distributing images across OCI registries for multiple deployment targets - Identify and eliminate operational toil through automation, improving environment provisioning, configuration management, and deployment processes at a systemic level - Establish and maintain monitoring, alerting, and incident response practices — owning dashboards, runbooks, and post-incident reviews that raise platform reliability over time - Serve as a technical point of contact for product service teams integrating into the deployment pipeline — unblocking teams, troubleshooting complex environment issues, and advocating for infrastructure best practices - Own the security posture of the deployment platform — managing secrets, certificates, RBAC policies, and security configurations to meet compliance and operational security requirements - Mentor and grow other engineers on the team through code review, pairing, design discussions, and knowledge sharing We're looking for candidates who have: - Deep experience operating Kubernetes in production at scale — cluster lifecycle management, Helm, networking, persistent storage, performance tuning, and complex workload troubleshooting - Expert-level proficiency with Terraform for provisioning and managing cloud infrastructure across multiple environments, including module design and state management strategies - Strong Linux systems administration skills (RHEL or similar — networking, storage, systemd, performance analysis, shell scripting) - Extensive experience designing and maintaining CI/CD pipelines (GitHub Actions, Jenkins, or similar), with a focus on reliability, speed, and developer experience - Deep familiarity with AWS services commonly used in infrastructure (EC2, S3, VPC, IAM, EBS, Lambda, and related networking and security services) - A strong operational mindset — you take ownership of reliability, think about failure modes proactively, and build automation to prevent recurring issues before they impact customers Nice to have experience: - Experience with GitOps tools such as Flux CD or ArgoCD in complex, multi-environment setups — including designing promotion strategies and managing drift - Familiarity with container registry operations, image distribution, OCI artifact management, and image signing or verification workflows - Experience managing databases in Kubernetes environments (e.g., PostgreSQL operators, stateful workloads, backup and recovery strategies) - Familiarity with Kafka or other message brokers in a containerized environment, including operational management and scaling - Experience with configuration management or automation tools (Ansible or similar) at fleet scale - Advanced scripting proficiency in Python for infrastructure automation, tooling, and integration work - Experience supporting environments with strict security or compliance requirements (FedRAMP, FIPS, IL environments, or similar) - Exposure to or passion for the cryptocurrency technology ecosystem Technologies we use: - Kubernetes: RKE2, Helm, Kustomize, Flux CD - Cloud provider: AWS (EC2, S3, EBS, VPC, IAM, Lambda) - Infrastructure as code: Terraform - CI/CD: GitHub Actions, semantic-release - Monitoring and alerting: Prometheus, Grafana, Datadog, Humio - Scripting and automation: Shell, Python - Container registries: OCI/Docker - Database management: PostgreSQL - Event streaming: Kafka - Operating systems: RHEL, Rocky Linux, Amazon Linux AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: San Francisco, California 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? At Fin you'll be a Systems Engineer in IT, working on evolving our IT infrastructure with a focus on deliverability, identity & access management and compliance. This is a great opportunity to join an ambitious AI-native IT team that leverages SaaS-based solutions to be at the forefront of business process and employee lifecycle automation. If you're coming from a traditional systems engineering or DevOps background, this role will expand the scope of your experience to truly agile, modern cloud environments. If you're already in the identity management and employee lifecycle automation space, this is the chance to take an ambitious next step in your career and be part of an engineering organisation that is scaling at incredible speed. What will I be doing? Build and own automations. Design efficient, maintainable automations across identity & access management, endpoint management, security, compliance and corporate email deliverability, using AI tooling and no-code platforms like Tines and Workato. Evolve corporate IT infrastructure. Take part in high-impact cross-organisational projects to integrate and expand our infrastructure, with a strong emphasis on infrastructure-as-code. Champion automation and AI adoption. Govern and promote adoption through enablement and education, eliminating friction and toil and lead impact across the organisation in line with our values. Evaluate and adopt new tooling early. Trial emerging features and products, including as beta testers, to optimise how the organisation works. Strengthen security posture. Drive IT incident response alongside InfoSec and engineering and partner with InfoSec on corporate and AI security standards, risk management and data protection for business-critical workflows. What skills do I need? First and foremost, you must have a passion for systems and automation and the desire to develop your skills in a fast-moving company! Having experience with iPaaS platforms and enterprise email deliverability are a plus. You have 3 to 5 years of experience as a Systems Engineer and possess great problem-solving skills with the ability to challenge assumptions by making data-driven discoveries and finding corresponding solutions. You have good knowledge of a high-level programming language, e.g. Ruby, Python, Perl etc… Note that the language doesn’t have to be one that we use here! You have experience building and operating systems in the cloud, without a traditional corporate network perimeter. Our primary IT infrastructure is built on AWS, Okta, Google Workspace, Jamf Pro, Intune, Tines and Workato. Nice to have: You have built robust, scalable integrations between billing and an ERP system, preferably Netsuite. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $142,000 - $162,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). 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: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Engineer, Video Team San Mateo, CA Responsibilities: Drive video codecs architecture design and development for PlayStation SDKs and cloud gaming platform. Drive product-focused algorithm innovation for video codecs, aligning performance optimizations with product and user requirements Own multiple encoder/decoder features with strong accountability, leveraging ML-based techniques for video quality enhancement Partner with platform, hardware, and system software teams to investigate and resolve complex, high-priority issues across the codec pipeline. Evaluate emerging codec and media technologies and recommend integration strategies for future platforms. Required Qualifications: Experience with GPU programming (HLSL, Vulkan, CUDA) with proven skills in profiling, debugging, and optimizations across CPU and GPU. Knowledge of multi-threaded programming and debugging using C and C++ Proficient with a wide range of development tools, including IDEs, Git/SVN, JIRA Proven ability to deliver features from design to validation with clean, efficient code. Bachelor’s degree required; Master’s degree preferred Nice to have: Expertise with video compression standards (e.g. AV1, VVC, VP9, H.265, H.264) AI/ML modeling and training experience Embedded system experience with multimedia frameworks Knowledge of SIMD optimizations on real time systems Contributions to open-source projects in multimedia, systems programming, or performance engineering. #LI-RG1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $193,300 — $289,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Bengaluru, Karnataka, India, APAC 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 looking for a high-performance, experienced engineer to be a part of a team of Site Reliability Engineers. You will be working closely with engineering teams, product managers, as well as support and sales engineers to build the future of the Fivetran Data Platform Reliability. As a member of the Site  Reliability Engineering team, you will take ownership of the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance. Technologies You’ll Use Working knowledge of managed Kubernetes (EKS, AKS and GKE) Knowledge of Cloud Platforms and related tooling: AWS, Azure, GCP, Terraform, Ansible, Buildkite, Pulumi and ArgoCD Experience in Python/Shell scripting. Bonus if you have Java, GO, etc Experience with Linux operating systems internals and administration Experience with cloud networking like VPNs, Privatelinks, and Private Service connect (GCP) Experience with databases such as PostgreSQL What You’ll Do Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput. Evolve systems by adding reliability into our product roadmap Coordinate the re-prioritize or fix critical bugs for support or sales requirements as needed Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability Ensure scalable artifacts deployment to all environments by automation scripts Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team Skills We’re Looking For 9+  years of  experience working with SaaS products at scale. Working knowledge of managed Kubernetes (EKS, AKS and GKE). Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD. Experience in Python/Shell scripting and Go Language. Bonus if you have Java. Experience with Linux operating systems internals and administration Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP) # LI-HYBRID #LI-AV1 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: Poland Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We're looking for a Senior Backend Engineer who thinks like a product builder, thrives in a collaborative, cross-functional environment, and is passionate about creating robust, scalable financial infrastructure. You'll be part of a domain team where various engineering crafts (Backend, Frontend, Mobile, ML/AI engineers, and QA) work together to own and evolve a shared product area that delivers real value to hundreds of thousands of businesses across Europe.   About You and What You'll Do:   You're pragmatic, learn quickly, and have a proven track record of shipping products that matter. You communicate clearly across disciplines and genuinely enjoy the dynamics of a cross-functional team where everyone contributes to solving the same customer problems. Above all, you're curious – about the product, the users, the business, and how your technical decisions impact all three.   As a product-minded backend engineer, you don't just implement tickets. You understand the "why" behind what you're building, challenge assumptions when needed, and proactively identify opportunities to create better outcomes. You're comfortable discussing trade-offs with product managers, explaining technical constraints to business stakeholders, and collaborating with frontend and mobile engineers to design elegant end-to-end solutions.   You have deep expertise in .NET and C# with a strong appreciation for maintainable, scalable code, and distributed architectures. But more importantly, you know when to apply that expertise and when simpler solutions serve the product better. You've built data-intensive applications before and understand the concepts of working in a regulated environment.   You take ownership not just of your code, but of the outcomes. You move without being prompted, whether that's jumping into a customer issue, improving team processes, or mentoring colleagues. You're curious about adjacent domains – you might peek at the frontend code, ask questions about the ML models, or dive into analytics to understand how features perform.   Quality is non-negotiable for you. Automated testing, thorough code reviews, and security best practices are fundamental to how you work. You balance technical excellence with pragmatism, always keeping the end user and business goals in mind. Your experience includes: At least 5 years of professional backend development with a product engineering mindset Excellent knowledge of .NET platform and C# Hands-on experience architecting and evolving distributed systems in production Proven ability to collaborate effectively with product managers, designers, and engineers from other disciplines Strong business acumen – you understand how your work connects to company objectives Clear, concise communication in English across technical and non-technical audiences A builder's mentality: you care deeply about shipping great products, not just writing great code Our tech stack Backend: .NET/C#, PostgreSQL, Redis, RabbitMQ, Kafka, Kubernetes, GCP. You'll work alongside teams using React (Web), Swift (iOS) / Kotlin (Android), Python/ML frameworks, and modern test automation tools (Playwright, Appium). Recruitment flow: Recruiter Interview First Technical Interview System Design Interview Team Fit Interview (peer interview) Offer What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Argentina; Brazil; Colombia; Mexico; Chile; Panama 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 Job Summary Huzzle is hiring an experienced Automation Engineer for an exciting remote opportunity with a growing company focused on operational excellence and digital transformation. This role is ideal for professionals passionate about building scalable systems, streamlining workflows, and creating efficient automation solutions that improve business performance. As an Automation Engineer, you’ll design, develop, and optimize automated processes across business and technical environments. You'll collaborate with cross-functional teams to identify inefficiencies, integrate tools, and build automation workflows that reduce manual effort and increase productivity. Key Responsibilities Design, build, and maintain automated workflows and systems. Analyze existing business processes and identify automation opportunities. Develop integrations between platforms, applications, CRMs, and internal tools. Create and optimize automation using platforms such as Zapier, Make, APIs, or custom scripts. Collaborate with operations, sales, customer support, and engineering teams to improve processes. Troubleshoot automation failures and monitor system performance. Document automation workflows, configurations, and best practices. Ensure scalability, reliability, and security across automation systems. Continuously research new tools and automation technologies. Requirements 2+ years of experience in automation engineering, systems operations, workflow automation, or related roles. Experience with workflow automation tools such as Zapier, Make, n8n, Power Automate, or similar platforms. Familiarity with APIs, webhooks, and third-party integrations. Basic scripting knowledge (JavaScript, Python, or similar languages preferred). Experience working with CRM platforms and business systems. Strong troubleshooting and analytical skills. Excellent communication and collaboration abilities. Ability to manage multiple projects in a fast-paced remote environment. Experience with AI tools, automation agents, or process optimization is a strong advantage. Benefits 💻 Fully Remote: Work from anywhere with international teams 🧭 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 🚀 Work with innovative companies adopting cutting-edge technology. 📈 Long-term career progression and growth opportunities. 🧠 Exposure to automation platforms, AI tools, and emerging technologies. 🤝 Collaborative international team environment. 🎯 Opportunity to build high-impact systems used across multiple departments.

Location: Poland; Romania; Bulgaria; Ukraine; Serbia; Spain About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, SaaS platforms, and digital-first businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to impactful, real-world products. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Front-End Engineer to build and maintain intuitive, high-performance user interfaces for a rapidly scaling web application. This is a remote front-end developer job ideal for someone who thrives in a product-driven environment and enjoys translating design concepts into responsive, pixel-perfect experiences. You will collaborate closely with designers, backend engineers, and product teams to deliver exceptional UI/UX while ensuring performance, scalability, and maintainability. Key Responsibilities Develop and maintain responsive, high-quality user interfaces using React.js and modern JavaScript (ES6+) Translate UI/UX designs into clean, scalable, and reusable code Optimize applications for maximum speed, performance, and cross-browser compatibility Collaborate with product managers, designers, and backend engineers to deliver new features Write clean, maintainable, and well-documented code following best practices Integrate APIs and work closely with backend services Participate in code reviews and contribute to improving development processes Requirements 5+ years of experience in front-end development Strong proficiency in JavaScript, HTML5, and CSS3 Hands-on experience with React.js (or similar frameworks like Vue or Angular) Experience with state management tools (e.g., Redux, Zustand, or Context API) Familiarity with RESTful APIs and asynchronous programming Solid understanding of responsive design and cross-browser compatibility Experience with version control systems (e.g., Git) Strong attention to detail and a passion for building exceptional user experiences Experience with TypeScript Familiarity with Next.js or server-side rendering frameworks Experience with modern styling tools (e.g., Tailwind CSS, Styled Components) Understanding of testing frameworks (Jest, Cypress) Exposure to performance optimization and accessibility standards Benefits 💰 Competitive salary based on experience and seniority 🌎 Fully remote role with flexible working hours 🚀 Work on impactful, user-facing products with a global reach 📈 Clear career progression in a high-growth tech environment 🎯 Collaborative, product-driven culture with strong engineering standards 🤝 Direct placement with the client—no outsourcing layers

Location: South Africa; Philippines; United States; United Kingdom; Canada; Spain 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 Job Summary We’re hiring a skilled Automation Engineer to help design, build, and optimize scalable workflows that improve business efficiency and eliminate repetitive tasks. This is a great opportunity for someone passionate about process improvement, systems integration, and building automation solutions that create real business impact. You’ll work with modern tools and platforms to connect systems, streamline operations, and support cross-functional teams. Experience with workflow automation platforms such as n8n is highly valued, though candidates with broader automation experience are also encouraged to apply. Key Responsibilities Design, build, and maintain automated workflows across internal and client-facing systems. Integrate platforms and tools using APIs, webhooks, and automation frameworks. Create scalable solutions that reduce manual work and improve operational efficiency. Develop and optimize workflow logic using tools such as n8n, Zapier, Make, or similar automation platforms. Collaborate with operations, sales, support, and product teams to understand workflow requirements. Monitor automation performance, troubleshoot issues, and continuously improve processes. Document systems, workflows, and implementation processes clearly. Support data synchronization and process automation across CRMs, communication tools, and business applications. Requirements Proven experience in workflow automation, systems integration, or automation engineering roles. Strong understanding of APIs, webhooks, JSON, and third-party system integrations. Experience with automation platforms such as n8n , Zapier, Make, Workato, or similar tools. Ability to troubleshoot complex workflows and identify process improvements. Familiarity with CRM systems and business productivity tools. Basic scripting knowledge (JavaScript, Python, or similar) is a strong advantage. Strong analytical thinking and problem-solving abilities. Excellent communication skills and ability to work independently in a remote environment. Experience working with AI tools, automation agents, or no-code/low-code systems is a plus. Benefits 💻 Fully Remote: Work from anywhere with international teams 🧭 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 🚀 Work with innovative companies adopting cutting-edge technology. 📈 Long-term career progression and growth opportunities. 🧠 Exposure to automation platforms, AI tools, and emerging technologies. 🤝 Collaborative international team environment. 🎯 Opportunity to build high-impact systems used across multiple departments.

Location: India; Pakistan; North Macedonia; Bulgaria; Romania; Bosnia and Herzegovina 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 Job Summary We’re hiring an experienced Automation Engineer for an exciting remote opportunity with innovative companies building scalable systems and operational workflows. This role is ideal for someone with 2+ years of experience creating automations, integrating systems, and streamlining business processes across sales, operations, customer support, and internal workflows. You’ll work with modern automation platforms and tools to build solutions that eliminate repetitive tasks, improve efficiency, and create seamless integrations across multiple business systems. Key Responsibilities Design, build, test, and maintain automated workflows and business process automations. Develop integrations between platforms using APIs, webhooks, and third-party tools. Build and optimize workflows using automation platforms such as Zapier, Make (Integromat), n8n, Power Automate, or similar tools. Collaborate with cross-functional teams to understand workflow requirements and identify automation opportunities. Troubleshoot workflow failures, errors, and integration issues. Create documentation for automation processes and system configurations. Monitor and improve automation performance, scalability, and reliability. Support CRM, operations, sales, and customer-facing teams with automation initiatives. Stay updated with emerging automation technologies and best practices. Requirements Minimum 2+ years of experience in automation engineering, workflow automation, systems integration, or related roles. Experience with tools such as Zapier, Make, n8n, Power Automate, HubSpot, Salesforce, or equivalent platforms. Strong understanding of APIs, webhooks, and software integrations. Familiarity with CRM systems and operational workflows. Basic scripting or coding experience (JavaScript, Python, SQL, or similar) is a plus. Strong troubleshooting and analytical skills. Experience working with cloud applications and SaaS tools. Excellent communication and documentation skills. Ability to manage multiple projects and priorities in a remote work environment. Benefits 💻 Fully Remote: Work from anywhere with international teams 🧭 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 🚀 Work with innovative companies adopting cutting-edge technology. 📈 Long-term career progression and growth opportunities. 🧠 Exposure to automation platforms, AI tools, and emerging technologies. 🤝 Collaborative international team environment. 🎯 Opportunity to build high-impact systems used across multiple departments.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Ramp is building an AI-native platform that changes how Go-to-Market and Product Growth teams create, launch, and improve customer-facing experiences. We are looking for a product-minded backend engineer to help build the infrastructure and services that power modern growth and marketing at Ramp. The next chapter for this team is to build marketing-led products: intelligent tools that turn strategy into execution, automate complex workflows, and help teams operate across channels with dramatically more leverage. The team will build across creative production, lifecycle marketing, paid media, account-based marketing, experimentation, incentives, and cross-channel orchestration. Examples include AI-powered systems that produce on-brand campaign assets, automate complex marketing workflows, coordinate audiences and execution, and deliver personalized experiences across email, sales outreach, external channels, and Ramp’s product. A core part of this mandate is Ramp’s incentives platform. We are building shared infrastructure to safely target, authorize, distribute, redeem, and measure incentives across channels and mediums—including in-app experiences tied to product adoption and growth goals. This requires combining marketer-friendly workflows with governed policies, budget controls, reliable financial operations, and closed-loop measurement. You will work at the intersection of product engineering, AI, data, marketing, and financial infrastructure. The ideal candidate is a product-minded backend engineer who can translate ambiguous workflows into durable systems. You will build the data models, APIs, integrations, and orchestration capabilities that allow marketers, product teams, and AI agents to safely execute complex work end to end. WHAT YOU’LL DO - Build the backend systems that power AI-native marketing and growth products across creative production, experimentation, incentives, and cross-channel orchestration. - Build shared incentives infrastructure for eligibility, targeting, policies, budgets, authorization, issuance, redemption, and outcome tracking. - Enable personalized content and offers across email, sales workflows, external channels, and in-product experiences using shared customer and campaign context. - Design reliable orchestration for long-running work, approvals, scheduling, retries, human intervention, and safe AI or financial execution. - Connect marketing actions and incentive spend to measurable activation, conversion, retention, and revenue outcomes. - Partner across Marketing, Product Growth, Product, Data Science, Finance, and GTM Platform to own systems from early discovery through production adoption and iteration. WHAT YOU NEED - 5+ years of software engineering experience building production backend systems, with strong proficiency in Python or another modern server-side language. - A track record of owning production services, APIs, data models, and distributed or event-driven workflows. - Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability. - Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions. - Experience applying AI to real product workflows—or strong interest in doing so—with an understanding of where deterministic controls and human approval are required. - Excellent cross-functional communication and a bias toward rapidly shipping measurable user and business outcomes. NICE TO HAVES - Experience building incentive, rewards, promotion, loyalty, payments, ledger, or financial-authorization systems. - Experience building workflow engines, automation platforms, agent systems, or orchestration infrastructure. - Experience with lifecycle marketing, product growth, paid media, experimentation, CRM, or other marketing technology. - Experience designing human-in-the-loop AI systems, including approvals, evaluations, tool execution, and recovery. - Experience with customer-data platforms, identity systems, behavioral event streams, or analytical data infrastructure. - Experience building experimentation or attribution systems that connect interventions to customer and business outcomes. 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: London, England, United Kingdom Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a ML Engineer to join our Data Science team, a future-looking technical arm of Graham. We envision, design, prototype and implement the processes that feed Quantitative Research and Discretionary Trading teams as well as the broader firm. We are passionate about what we do and welcome every opportunity to prove it. The Data Science department straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. We work closely with Quant Researchers, Portfolio Managers, Operations and Execution to continuously improve upon our offering. Every day we work to transform our business through data, technology, and the insights we provide our stakeholders. At Graham, our systems feed live models around the clock, span billions of market data ticks, an ever-increasing corpus of news and other texts as well as a broad spectrum of financial and alternative data. Our objective is to support the research process by providing our stakeholders with all the right pieces to succeed in their jobs. Responsibilities You will be part of a growing team within Data Science. You will work alongside world-class talent to find innovative solutions to some of the most interesting problems on the buy-side. You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions. Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund. Requirements Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets Experience writing production code for multi-client systems serving model results is a great plus Ability to clearly communicate research findings to technical and nontechnical stakeholders Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments Experience with scientific computing, statistics, optimization, time series, panel data, etc. Comfortable handling multiple projects to solve varied problems working with multiple teams Detail-oriented mindset Sense of ownership of his/her work, working well both independently as well as collaboratively This role requires commuting into our London office Mondays through Fridays.

Location: New York, NY (HQ) 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 The Credit Engineering team builds the systems that enable Ramp to manage credit lifecycles for businesses end-to-end, from initial underwriting through ongoing portfolio strategy optimization. As an engineer on Credit, you’ll own systems that influence $100+ billion in annual payment volume through millions of decisions across our product stack in support of the most ambitious FinTech portfolio in the United States. We are looking for a backend engineer to own the technical roadmap for underwriting, limit management, portfolio optimization, and agentic workflows. You will build robust systems, automate complex operational tasks, and maintain the high-frequency controls that power all of Ramp’s products. If you are obsessed with correctness, excited by ambiguity, and passionate about problems at the intersection of distributed systems and financial strategy, this role is for you. WHAT YOU'LL DO - Architect scalable, stateful systems for automated limit management to optimize Ramp’s charge card portfolio. - Envision and build the next generation of agents and tools that automate manual credit decisions and increase operational efficiency. - Develop high-volume, low-latency risk controls to support Ramp’s expansion into new products, customer segments, and geographies. - Design and build real-time decisioning systems spanning the entirety of a business's credit lifecycle on Ramp. - Partner closely with analysts, data scientists, and product to translate risk strategies into reliable software. WHAT YOU NEED - 2+ years of backend engineering experience. - Proficiency in Python or a comparable backend language. - Experience working with distributed systems and async frameworks. - Proficiency with converting abstract business problems into robust data models and technical specs. - Experience building or operating systems with strict auditability, observability, and correctness guarantees. - High ownership mentality – you care deeply about the systems you build. - Ability to work closely with non-engineering partners (Risk Strategy, Ops, Sales) to create impact. NICE TO HAVES - Experience leveraging AI/LLMs for development or for internal workflows. - Interest in financial optimization problems. - Willingness to learn and move fast while holding the bar on correctness. - Defensive programming aptitude. - Experience using feature stores, rule engines, and ML platforms in production. 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: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Remote 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 Ramp is, at its core, a fintech company. Our financial infrastructure enables us to issue cards, move money globally, and manage treasury flows for our customers. Stablecoins are emerging as a critical lever to make these flows faster, cheaper, and more accessible. We are looking for a Software Engineer to join our engineering team with a dedicated focus on stablecoin-based payment and treasury systems. In this role, you will act as both a technical owner and multiplier: working on core stablecoin services, ensuring secure and reliable integrations with external partners, and guiding Ramp’s evolution toward next-generation fintech solutions. Our ideal candidate combines deep curiosity about eventually consistent distributed systems with strong financial infrastructure experience, thrives in highly regulated and mission-critical environments, and has a passion for diving into new problem spaces. WHAT YOU'LL DO - Help build & scale Ramp’s stablecoin-based payment and treasury infrastructure - Partner with external providers and internal stakeholders to deliver end-to-end product flows - Solve Ramp’s toughest fintech challenges with new technologies - Collaborate with engineers across Ramp to integrate stablecoin capabilities into core products WHAT YOU NEED - Minimum 5+ years of experience shipping high-quality architectures for critical systems preferred - Proven experience with stablecoin technologies, blockchain-based payment rails, and/or wallet infrastructure - Strong production experience with cloud environments (AWS, GCP, or Azure) and Infrastructure-as-Code (Terraform or equivalent) - Deep proficiency in at least one object-oriented or functional programming language (Python, Go, Java, or similar) - Experience working on security-sensitive systems, with interest in key management, wallet security, or secure transaction flows. - Experience building or operating payments, money movement, treasury, stablecoin, or crypto infrastructure in production environments NICE TO HAVE - Intuition for on-chain UX and settlement mechanics, including wallet-based transaction signing, confirmation/finality, and chain-level tradeoffs like fees and latency. - Direct experience building on-chain wallets or with integrating a crypto onramp / offramp APIs for custody and remittance flows - Experience integrating with external financial service providers and APIs at scale - Familiarity with cross-border settlement, FX, or treasury management systems - Background in highly regulated fintech environments (e.g., payments, banking, or government-compliant infrastructure) 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