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Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THIS ROLE: Accelerate engineering velocity and reduce friction in the Replit development experience by stewarding our codebases, tooling, and developer workflows. You will directly impact every engineer who ships code at Replit. By focusing on developer experience, you will act as a force multiplier across all product development teams, enabling faster feature delivery, happier developers, and reduced operational overhead. The role combines the technical depth needed to navigate a complex, polyglot codebase with the product mindset to understand how infrastructure decisions impact developer productivity and ultimately customer value delivery. You will also partner closely with the AI team on our internal AI platform — which already generates more than 60% of all merged PRs at Replit — to improve the Agent's output and help shape strategy around the Agent's default stack. This is an early hire in this area, so you will have agency and have an accelerated career path as the team undoubtedly grows. YOU WILL: - Maintain and evolve our codebase structure — a complex TypeScript monorepo, Go services, npm packages, and internal Agentic tooling. - Own the build and test pipelines and optimize them to minimize build times and improve developer iteration speed. - Drive code generation and type-safe interfaces across service boundaries (e.g., GraphQL, Protocol Buffers, gRPC, OpenAPI). - Set the standards for code quality using automation tools such as TypeScript, ESLint, Prettier, and Go linters/formatters — building custom rules and plugins to enforce Replit-specific requirements. - Streamline development setup and the onboarding experience. - Work with platform teams to improve deployment processes, infrastructure integrations, and external tooling. - Keep things fresh and modern in our codebase by adopting and leading migrations to better and faster tools. - Partner with the AI team on our internal AI platform (which generates >60% of all merged PRs at Replit) to improve the Agent's output and shape strategy around its default stack. - Help manage dependencies both internal (public and private) and external, including being the face of the company when interfacing with open-source libraries (e.g., sponsorships, upstream contributions). REQUIRED SKILLS AND EXPERIENCE: - Strong proficiency in TypeScript and/or Go and/or Nix. - Expertise in modern build systems and toolchains (e.g., Vite, webpack, esbuild, Go's build/module system). - Proficiency with linters, formatters, testing frameworks, and code generation tools. - Experience managing monorepos or large-scale codebases. NICE TO HAVE: - Experience building self-service developer platforms (CI/CD, infra, or tooling) used by many engineering teams. - Experience with AI-native development workflows — e.g., OpenCode, Claude Code, Cursor, custom agent skills. - Open-source leadership or community contributions. This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Ukraine; Spain; Poland; Portugal; Romania About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. Now we are looking for a Senior ML Operations Engineer to join us as part of our team. About the role As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team composition 1 Engineering Manager, 4 Senior ML Ops Engineers Work Environment The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. As a qualified expert, You will Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation. Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment. Provide mentorship, technical guidance, and perform code reviews for team members. Design and deliver on projects end-to-end with little to no guidance. Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC. Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities. Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various cross-functional company initiatives and projects as requested. Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value. Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance. We’re looking for you if you have Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience). 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered). 4+ years of experience designing and building distributed software systems and architectures. 3+ years of hands-on experience deploying and operating Machine Learning services in production. Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance. Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker. Demonstrated experience with SQL and NoSQL database design and implementation. Ability to decompose complex problems into iterative, well-defined solutions. Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems. Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions. Ability to be a team player who can also work independently. Experience working across multiple development teams is a plus. Bonus points Experience with cloud platforms (AWS, Google Cloud Platform, or Azure). Proficiency in GitOps practices and CI/CD pipeline development and management. Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems. LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock). LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar). Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector). RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance. Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka. ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow. API development with FastAPI or similar frameworks. Java programming experience is a plus. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with the recruiter Live Coding (up to 30 min) Tech Interview: ML Fundamentals, Software Engineering (up to 60 min) ML System Design Interview (up to 45 min) Interview with Engineering Manager (60 min)

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro CloudLinux is transforming the Linux infrastructure market by ensuring security and stability for over 500,000 servers worldwide. Our products - CloudLinux OS and Imunify360 - are the de facto standard in the hosting industry and Enterprise segment. We are seeking a visionary engineer to lead the evolution of our data platform. In 2025, we are shifting from classic database administration to an Internal Database-as-a-Service (DBaaS) model. We need a specialist who doesn’t just "configure backups," but designs resilient distributed systems, writes code to automate infrastructure, and transforms databases into a reliable service for product teams. If you are tired of endless tickets and want to build platforms capable of processing petabytes of data, this role is for you. Your Challenges & Responsibilities: DBaaS Architecture: Design and implement a self-service platform based on Terraform and Ansible , enabling the deployment of HA clusters (PostgreSQL and ClickHouse, MongoDB, Redis) in a heterogeneous environment (Bare Metal + OpenNebula + Kubernetes + Public Clouds). You will turn infrastructure into a product. Scaling ClickHouse: Manage exponentially growing analytics clusters (12+ clusters, tens of terabytes of data). You will tackle sharding, table engine optimization (ReplicatedMergeTree), and building reliable S3 backup pipelines under high load. Data Platform & Analytics Support: Maintain and scale the infrastructure for Apache Airflow and Redash. You will ensure the reliability of ETL pipelines and visualization tools, bridging the gap between raw infrastructure and the data analytics team. Reliability as Code: Implement SRE practices in data management. Replace manual incident response with automated self-healing mechanisms. Define and implement SLO/SLI for all databases. Stack Modernization: Lead the migration process from legacy solutions to modern cloud patterns. Participate in decision-making regarding the implementation of Kubernetes operators for stateful workloads. Expertise & Mentorship: Serve as the technical authority for product teams, helping them optimize data schemas and SQL queries for high-load systems. Our Tech Stack: Databases : PostgreSQL 15+ (Patroni, PgBouncer), ClickHouse (Sharded/Replicated), MongoDB, Redis, Kafka Data & Analytics: Apache Airflow, Redash (Infrastructure & Integration). Infrastructure: Own 3+DC colocation (OpenNebula, Kubernetes, Bare Metal), AWS, Google Cloud, Azure, DO – Hybrid Cloud. Automation & IaC: Terraform, Ansible, Python/Go, GitLab, Jenkins, Gerrit. Observability : VictoriaMetrics, Grafana, Loki. Why CloudLinux? Culture: A Remote-first company with an "Employees First" principle. We value results, not hours in the office. Impact: Your architectural decisions will determine the stability of services used by thousands of companies around the world. Growth: We support professional development and pay for training and conferences. Requirements What We Expect From You: AI-Augmented Engineering: You don't view AI as a replacement for deep technical fundamentals, but as a high-leverage tool. We actively use AI agents (Claude, Codex, Gemini, etc.) to automate boilerplate, analyze complex logs, and speed up research. We expect you to be open to modern workflows and integrate AI into your day-to-day operations, allowing you to focus your brainpower on the true architectural challenges. Deep PostgreSQL Expertise (5+ years): You know MVCC internals, understand locking mechanics, can configure Patroni and PgBouncer "with your eyes closed," and have experience with seamless major version upgrades under load. ClickHouse Mastery: Experience operating large clusters, understanding ZooKeeper/ClickHouse Keeper, sharding, replication internals, and the ability to diagnose performance issues at the data-part level. Engineering Mindset (SRE/DevOps): You hate doing the same task twice by hand. Experience writing complex Terraform modules and Ansible roles is mandatory. Programming skills in Python or Go for automation are a huge plus. Hybrid Environment Experience: You understand the differences between running DBs on Bare Metal vs. Kubernetes vs. Cloud and know how to optimize TCO and disk subsystem performance (NVMe, Network Storage). Systems Approach: You see the big picture - from the network packet to the application business logic. You understand the importance of security (FIPS, Audit logs) and Disaster Recovery. English: upper-intermediate or higher - to ensure clear communication of progress within the teams Nice to Have: Experience building an Internal Developer Platform (IDP). Experience operating databases in Kubernetes (CloudNativePG, Altinity Operator). Experience working in Cloud and Hosting providers on similar services. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Poland Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. About The Role We are seeking established Senior Relationship Managers in various locations. We are looking for Relationship Managers with a portable book of business: professionals whose client relationships are strong enough to follow them. You will be expected to begin onboarding clients from your existing network within your first months, while also prospecting new markets and attracting new clients. The ideal candidates will have a strategic mindset, excellent communication skills, and the ability to manage complex client interactions across different time zones and cultures. The candidate must have a proven track record of business development and sales to HNWI, Private Wealth Management, Asset Managers, Fund Managers, Family Offices, and other private investors, with demonstrable client loyalty that translates into transferable AUM. Experience ideally spans to both segments: private clients (HNWI) and institutional B2B relationships Reporting Line - Regional Head of Sales Responsibilities Client Relationship Management: Act as a liaison to top-tier clients, including premium retail, high net worth individuals and institutional clients. Provide solutions to client inquiries while complying with all company policies, practices, and procedures. Conduct regular meetings with clients to review their needs, goals, and satisfaction levels. Business Development: Onboard and activate clients from your existing network, and identify opportunities to expand services and solutions to existing clients. Collaborate with the Regional Head, Sales, and Marketing teams to formulate strategies aimed at enhancing client relationships and supporting business development. Negotiate contracts and agreements to enhance business performance and client satisfaction Problem Management and Resolution: Focus on managing wide-scale service issues and handling trade-related problems. Oversee trade and margin analysis, manage accounts and funding processes, and apply a strong understanding of cash markets, equities, and derivatives to support client needs. Address and resolve client issues promptly and effectively. Strategic Planning: Develop and implement strategic plans to enhance client relationships and achieve business objectives. Analyze market trends and client feedback to identify areas for improvement and innovation. Collaborate with internal teams to ensure alignment with client expectations and company goals. Project Management: Oversee the delivery of services and solutions to clients, ensuring timely and successful implementation. Work in cross-functional teams to address client issues and deliver exceptional service. Monitor projects’ progress and report on key performance indicators (KPIs). Internal Coordination: Coordinate with various internal departments, such as technical operations and programming, to analyze and escalate issues appropriately. Maintain detailed records of client interactions, contracts, and agreements. Prepare regular reports on client status, project progress, and business development activities.. What Success Looks Like Month 1-6: activation of your existing client relationships and expected measurable net new AUM starting to materialise from third month onwards. Ongoing: expansion of your book through referrals and new-market prospecting. Qualifications 10+ years in a sales role in the financial services or investment industry A portable book of business: an established, loyal client base (HNWI, private wealth management, asset managers, fund managers, family offices and other private investors) ready to onboard with you. Proven experience in institutional B2B sales – building and managing relationships with institutional counterparties (asset managers, fund managers, wealth management firms, family offices) alongside private clients. Excellent knowledge of the securities market: stocks, ETFs, bonds, futures and options. Strong understanding of international business practices and cultural sensitivities. Motivation for developing business and high energy with a good sense of priorities and time management Fluent English. Additional languages will be an asset Personality and Mindset Entrepreneurial owner mentality – a hands-on, can-do attitude; you run your book like your own business and don’t expect leads or hand-holding Honesty and integrity – direct and transparent with clients, even in difficult conversations Team player with advanced communication and collaboration skills Competitive drive and an overachiever mentality – visible appetite to win, motivated by performance-based upside Persistence and resilience – disciplined daily follow-up, and the durability to stay motivated through setbacks and slower periods Adaptability – you thrive in the pace, ambiguity and evolving processes of a fast-growing fintech What We Offer* Competitive compensation that reflects your experience and the value you bring, plus uncapped performance-based commission that scales with the revenue your book generates. Flexibility that fits your life: work from home, from our office, or a mix of both. You decide what works best. Flexible benefits, where available under your engagement: you choose the options that suit you, not a one-size-fits-all bundle. A genuinely good place to work: an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way. Continuous learning: ongoing training, education programmes, and the support to deepen your expertise in a fast-moving industry. Connection beyond your desk: events that bring our teams together to network and celebrate. Global exposure: work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries. *Benefits/perks vary depending on the nature of your employment with the company and the country where you work EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

Location: Budapest, Hungary About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Are you detail-oriented and enjoy working with data? Do you like solving problems and collaborating across teams? If so, we’d love to hear from you! Role background Our Merchant Services and Compliance Operations teams ensure Wolt meets regulatory requirements across all markets. As part of this, we’re strengthening our KYC/KYB processes to support scalable and compliant operations. As a Merchant Compliance Administrator, you’ll review merchant information and make sure everything is accurate, complete, and compliant. This role is based in Budapest, Hungary, and works closely with our in-market teams. We offer flexibility - the position is available full time, part-time (20 or 30 hours per week) and is also suitable for students, with a minimum commitment of 20 working hours per week. What you’ll be doing Review and validate merchant-submitted KYC/KYB documents (e.g. ID, business details) Check for accuracy and completeness based on internal guidelines Flag missing or incorrect information for follow-up Use internal tools to manage and track tasks Support quality checks and maintain high data accuracy Collaborate with Operations, Compliance, and Product teams Our humble expectations 1+ year of experience in operations, admin, compliance, data validation, or similar Strong attention to detail and ability to work with structured data Comfortable handling sensitive information Able to follow processes and work accurately at scale Experience with tools such as Google Workspace or similar Good organizational and time management skills Clear communication and collaboration skills Fluent in English (additional languages are a plus) You have the right to work in Hungary Nice to have: basic understanding of legal or business documents What we offer 🌍 Independent work in a dynamic, international team 💳 SZÉP-card* 🏥 Private health insurance* 🏋️ All You Can Move card (self-financed)* 💙 Employee Assistance Programme - therapy and wellbeing* % Discount on your Wolt orders* 👶 Extended parental leave for fathers: 16 weeks total* 💻 Modern work equipment 🫶 Volunteer day 🍿 Snacks & drinks in the office 🎓 Please note: Student contracts work a bit differently, benefits marked with * are available only to non-student employees If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a strong Robotics Learning Engineer to join our Manipulation team based in London. In this role, you will work on teaching our robots to manipulate the world around them. This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don’t have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn’t work). WHAT YOU’LL DO - Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment. - Come up with data preprocessing strategies to improve the quality of collected data. - Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world. - Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions. - Expand observation and action spaces with new components required to support novel capabilities, and work with the Teleoperations team to expose these components to robot operators. - Partner with Teleoperations and Controls teams to improve motion smoothness and teleoperation experience. - Interface with hardware design team to ensure that manipulation team findings regarding the current generation of hardware are reflected in future designs. WHAT WE'RE LOOKING FOR - 3+ years working on robots (industry or research) with shipped artifacts to show for it. A good understanding of modern teleoperation and low-level control stack. - Experience with neural network post-training. - Familiarity with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training, PyTorch or JAX. Ability to profile & debug numerics and write maintainable research code. - Good familiarity with modern software engineering practices. - Ability to document experiments clearly and communicate trade‑offs crisply. Nice to have: - Experience training VLA models for manipulation (autoregressive, diffusion or flow-matching based). Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. - Experience applying RL to robotics problems. - Publications at top-tier robotics or deep learning conferences or equivalent open‑source contributions. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Simulation Engineer to join our VLA team based in London. In this role, you will build and maintain simulation environments for dexterous manipulation tasks across industrial, service, and home domains. This is primarily a simulation and reinforcement learning-focused role, so we are looking for experience creating realistic physics-based environments and training RL policies, while experience in robotics isn't strictly required. However, if you don't have such experience, be prepared that you'd need to familiarize yourself with a new domain quickly. WHAT YOU’LL DO - Design and implement gym environments for manipulation tasks spanning industrial, service, and home settings, defining appropriate observation spaces, action spaces, and reward functions. - Analyze and address reward hacking - identify cases where learned policies exploit reward misspecification and iterate on reward design to produce robust behaviors. - Analyze and reduce the sim-to-real gap by tuning physics parameters, improving asset fidelity, and validating simulation behavior against real-world data. - Work with third-party vendors to procure, validate, and integrate high-quality 3D assets (objects, fixtures, environments) suitable for physics-based simulation. - Ensure correct physics setup - contact dynamics, friction, mass properties, joint limits - so that trained policies transfer reliably to hardware. - Identify and reduce simulation bottlenecks to maximize training throughput and environment step rates. - Improve our simulation-based evaluation and reinforcement learning infrastructure to support rapid iteration and scaling. WHAT WE'RE LOOKING FOR - 3+ years building simulation environments or game-engine-based interactive systems (industry or research) with shipped products, published results, or equivalent artifacts to show for it. - Deep hands-on experience with at least one physics simulator (Isaac Sim/IsaacLab, MuJoCo, PyBullet, Drake) or equivalent game engine experience (Unreal, Unity) with a focus on physically accurate interactions. - Strong practical experience running large-scale parallel simulation on GPU clusters and good familiarity with modern GPU-accelerated simulation infrastructure. - Strong Python; you can profile bottlenecks, debug physics issues, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade-offs crisply. Nice to have: - Robotics or manipulation-specific experience (grasping, contact-rich tasks, deformable objects). - Experience designing reward functions and training RL policies in simulated environments; solid understanding of common failure modes (reward hacking, distribution shift, sim-to-real gap). - Experience with NVIDIA Isaac Sim & IsaacLab specifically. - Experience with domain randomization, system identification, or other sim-to-real transfer techniques. - Publications at top-tier robotics or RL conferences or equivalent open-source contributions. - Familiarity with robocasa, robosuite or similar open-source manipulation simulation frameworks. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Staff Controls Software Engineer to join our Controls team based in London. We are seeking an experienced Staff Controls Software Engineer to lead the development, integration, and maintenance of our production-grade control software for humanoid robotic systems. This role sits at the intersection of controls and software engineering - focused on turning advanced control strategies into robust, maintainable, and validated production systems. You’ll be responsible for ensuring that the control stack powering our robots is deterministic, safe, tested, and deployable at scale. You bring both deep robotics control experience (10 years in robotic system development) and strong software engineering discipline — designing architectures that perform reliably in real-time environments. WHAT YOU’LL DO - Design and maintain modular, real-time control architectures supporting locomotion, manipulation, and teleoperation. - Implement high-performance control loops and middleware interfaces for deterministic, safe operation. - Industrialize algorithms, ensuring production readiness, maintainability, and performance. - Establish clear software boundaries and interfaces between motion planning, control, and hardware layers. - Translate research prototypes into scalable, maintainable, and testable control software. - Apply modern software development practices (CI/CD, code reviews, testing frameworks, documentation). - Define reliability, latency, and safety metrics and enforce them throughout the control stack. - Lead the integration of real-time control software on embedded or Linux-based systems, ensuring consistent behavior across hardware targets. - Develop automated testing frameworks (simulation, hardware-in-the-loop, regression, and performance testing). - Drive release and version management of the control stack, ensuring stability across branches and deployments. - Conduct profiling, benchmarking, and performance validation on robotic hardware. - Define release protocols to ensure reproducibility and verifiable system behavior. - Implement software-based fail-safes, watchdogs, and redundancy mechanisms for safety-critical control paths. - Work closely with hardware and safety teams to ensure fault detection, graceful degradation, and safe state transitions. - Lead by example through hands-on coding, code reviews, and system-level debugging. - Mentor engineers on control software best practices, testing methodologies, and performance optimization. - Contribute to the long-term control software roadmap, guiding architecture evolution and quality standards. WHAT WE'RE LOOKING FOR - B.S., M.S., or Ph.D. in Robotics, Control, Computer Engineering, or a related field. - 10+ years of experience developing robotics control software for real-time systems. - Proven expertise in C++ (modern standards) and Python for software implementation, testing, and automation. - Strong background in control theory, robot kinematics & dynamics, and real-time control systems. - Experience in deploying and validating control software both in simulation and on physical robotic platforms. - Solid understanding of software architecture, version control (Git), CI/CD pipelines, and automated testing. - Excellent debugging, profiling, and system performance optimization skills. - Track record of shipping production-quality robotics software, not research prototypes. - Proven experience managing software lifecycle, including release management and cross-team integration. Nice to have: - Experience with ROS2, real-time Linux, or RTOS environments. - Familiarity with relevant tools and libraries like Eigen, Pinocchio, Placo, PyTorch, MuJoCo, etc. - Familiarity with safety-critical systems, redundancy, and failover mechanisms. - Background in whole-body control, actuator coordination, or real-time trajectory execution. - Experience in Joint/Cartesian Impedance and force control - Strong communication and leadership skills, with the ability to influence architecture decisions and engineering culture. - Experience in learning-based control methods (e.g. RL, imitation learning) WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Teleoperation Control Engineer to help build the systems that let human operators safely, confidently, and precisely control advanced robots. This role sits at the intersection of robot control, real-time software, operator UX, hardware integration, and human-in-the-loop workflows. You will develop the core teleoperation capability that enables operators to guide, recover, teach, and improve robot behavior in real time. That includes intuitive control mappings, reliable command pipelines, clear operator feedback, high-quality data capture, and safeguards for safe use around real hardware. We are open to strong candidates from junior through staff level. The key traits are hands-on robotics ability, strong engineering judgment, care for software quality, and a product-minded instinct for making complex robot systems intuitive for operators. WHAT YOU’LL DO - Develop teleoperation capabilities for controlling robots across manipulation, mobility, and loco-manipulation tasks. - Design intuitive operator experiences, including input mappings, visualizations, feedback loops, recovery flows, and workflows that reduce cognitive load and improve operator confidence. - Integrate input devices such as VR controllers, gloves, haptic devices, motion capture systems, and custom operator stations into the robot software stack. - Translate noisy, high-frequency human input into smooth, stable, physically feasible robot commands with predictable behavior. - Build robust teleoperation infrastructure for real-time data streaming, calibration, replay, debugging, logging, operator training, and high-quality demonstration capture. - Develop shared-autonomy and assistive-control features that blend human intent with robot capability to improve precision, safety, and ease of use. - Create safe operating boundaries, limiters, alerts, emergency/recovery flows, and clear state feedback so robot operators can use teleoperation safely. - Define and improve quality metrics for teleoperation systems, including latency, reliability, observability, operator success rate, demonstration quality, and failure modes. - Stress-test teleoperation systems on real hardware and in simulation, then drive reliability improvements based on operator feedback and observed failures. - Work closely with controls, manipulation, hardware, and operations teams to ensure teleoperation requirements shape robot design and field workflows. WHAT WE'RE LOOKING FOR - Strong robotics fundamentals, including kinematics, coordinate frames, control interfaces, state estimation basics, and real-time system behavior. - Experience building a subset of the following: teleoperation systems, operator UIs, shared-autonomy tools, human-robot interfaces, or robot learning data-collection pipelines. - Ability to write reliable software in C++ and/or Python, with experience in ROS/ROS2, real-time data streaming, or robotic middleware. - Good intuition for human-in-the-loop systems: how operators perceive robot state, issue commands, recover from errors, and build trust. - A quality mindset: clean abstractions, testing, logging, observability, performance tuning, and tools that remain usable under pressure. - Strong debugging skills across the stack, from operator input devices to robot motion, sensors, networking, and hardware behavior. - Comfort iterating quickly on real robots, learning from operator feedback, and turning prototypes into robust capabilities. - Clear communication and collaboration with cross-functional teams. Nice to have: - Hands-on experience building or debugging software for real robotic hardware, ideally in manipulation, mobile manipulation, humanoids, or dexterous systems. - Experience designing safe workflows for hardware-facing systems where latency, instability, poor feedback, or misuse can create operational risk. - Experience collecting high-quality demonstrations for imitation learning, behavior cloning, or other robot learning workflows. - Exposure to intent inference, haptics, force feedback, motion capture, VR/AR interfaces, or custom control devices. - A product-minded approach to robotics: caring not only that the robot moves, but that control is intuitive, safe, reliable, and pleasant for operators to use. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ days time off, including 23 days annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London. WHAT YOU’LL DO - Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. - Build and maintain robust CI/CD pipelines for both software and ML workflows. - Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. - Automate deployment, orchestration, and environment management using modern DevOps tooling. - Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. - Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. - Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. - Document infrastructure, workflows, and operational procedures clearly and thoroughly. WHAT WE'RE LOOKING FOR - Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. - Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. - Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). - Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). - Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. - Ability to design scalable, secure, and observable systems in fast-moving environments. - Strong debugging and problem-solving skills across distributed systems. - Excellent collaboration and communication skills, with experience working in cross-functional teams. - Understanding of security and compliance best practices for both software and ML systems. WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Yerevan; Poland; Ukraine; Serbia; Valencia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. Requirements: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus What you’ll do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. Nice to Have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: United States; Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. Without ever sacrificing craft or quality helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact. ABOUT THE ROLE: - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Permanent - Exempt - Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.  - United States  (all figures cited below in USD and pertain to workers in the United States) - Zone A: 232,000 - 290,000 - Zone B: 217,600 - 272,000 - Zone C: 204,800 - 256,000 - Canada  (All figures cited below in CAD and pertain to workers in ON & BC, Canada) - 253,000 - 316,000 Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position - Reporting to the Director, Engineering  As a Senior Staff Machine Learning Scientist, you’ll:  - Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation. - Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning. - Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences. - Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks. - Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems. - Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI. - Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team. - Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems. ABOUT YOU: Requirements: - BA/BS degree or equivalent experience You’ll thrive as a Senior Staff Machine Learning Scientist if you: - Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training. - Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred. - 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning. - Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models. - Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances. - Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code. - Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow. - Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization. - Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.   OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position The Political Risk Insurance Projects Director supports a U.S. Government Agency in managing complex international risk mitigation initiatives. This role operates within a specialized function responsible for evaluating, structuring, and underwriting political risk solutions for investments in emerging and developing markets. The Director serves as a senior specialist leading the assessment and execution of highly complex insurance transactions. The position requires deep expertise in political risk analysis, underwriting, and international investment environments, as well as the ability to engage with senior stakeholders across public and private sectors. This position is based in Washington, D.C. Responsibilities Evaluates projects proposed by investors and designs the insurance coverage, personally handling unusually complex and significant issues as well as representing the Agency at the highest levels in negotiations with investors and foreign government representatives. Projects include the most complex issues and conditions and require the conduct of sensitive negotiations and original underwriting techniques performed with authoritative technical independence. Reviews formal applications for political risk insurance. Analyzes the nature of investment, equity and loan instruments, project agreements, and related documents. Determines the level of concentration risk in the industry or country. Reviews laws and practices regarding investment and foreign exchange in country of proposed investment, as well as the investment conditions and political climate in order to assess political risk and anticipate and deal with problems that might arise. Reviews and works with other relevant departments to determine appropriateness of foreign government approval of the project and the investment's contribution to economic development in the project host country; the effect on U.S. balance of payments and employment; and the projects' environmental implications. Reviews final insurance applications and, when needed, requests supporting information and documentation. Advises investors on whether the proposed project is insurable. Determines whether there are problems or restrictions that would make the project, investment, and/or investor ineligible and suggests, if possible, reshaping to achieve eligibility. Performs risk evaluation and proposes pricing. Develops concepts and innovative approaches to provide and support political risk coverage. Assists in maintaining and expanding the business pipeline for risk mitigation services, working with U.S. and foreign private sector and government officials, as well as with representatives of multilateral and bilateral development finance institutions. Develops and sustains relationships with corporate, multilateral, and bilateral representatives to ensure early identification of future projects with potential for enhanced participation. Negotiates and confers with senior officials and/or counsel of the investors regarding character of investment, the appropriate insurance coverage(s), and provisions of the contract. Provides suggested language for adaptations, changes in, or addenda to the standard contract and determines need for and obtains advice or clearance from legal counsel and other relevant parties. Prepares or oversees the preparation of the insurance contract in final form, ensuring that it correctly reflects the investor's application and supplementary data, and after appropriate clearance, transmits it to the investor for execution and payment of fees. Prepares staff memoranda and papers for presentation to approval committees, management, and senior leadership; coordinates presentations of projects for approval, as needed. Work may include overseas travel to conduct due diligence about the current political situation in a country where issues are affecting the client's operations, conducting special negotiations, and working with local U.S. Embassy staff to deal with specific country issues. Performs other related duties as assigned Qualifications Minimum of a master’s degree in international business/studies, international relations, finance, business, economics, political science, or a related field. Minimum of 8 years of experience working at a political risk insurance firm, commercial bank, consulting firm, investment bank, international project development company, international financial institution, or multilateral organization within the last 10 years. Experience independently completing the full range of origination of international political risk insurance contracts. Experience conducting political risk analysis of investments in developing countries. Experience identifying issues in at least two of the following three areas: political, economic or credit risks (e.g. due diligence, risk exposure, detailed credit analysis, market analysis, private investments). Experience analyzing the underlying causes of changes in investment conditions and political climate in a developing country. Experience guiding potential clients through the eligibility requirements, application process, investment policies requirement and approval process at a political risk insurance company. Experience identifying pertinent host country political risks related to projects and applying these analyses to determine what risks should be covered and excluded in a political risk insurance contract. Experience developing networks and customer contacts to identify new business opportunities. Excellent English speaking, reading, and writing skills. Demonstrated ability to produce written materials that are clear and succinct. Must be a U.S. Citizen or Foreign National with the ability to obtain and maintain a Public Trust or higher-level clearance. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $150,000 — $175,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Job title: Senior Software Engineer   About the role:   You will join a high-impact team transforming healthcare through technology. Our platform  connects fragmented clinical systems to enable real-time care coordination across  thousands of healthcare facilities, serving millions of users. You will design and build  scalable platform services, leveraging modern AI-augmented engineering practices to  accelerate delivery, improve reliability, and enhance clinical and operational outcomes   What your day-to-day will look like:           • Build robust platform services supporting clinical operations          • Partner with product and clinical teams to understand and solve real workflow             challenges         • Drive architectural decisions for business platform services         • Own the reliability and performance of critical healthcare solutions         • Mentor team members on modern engineering practices   What qualifications we’re looking for:   Required Technical Experience           •Strong track record building and shipping production software in modern languages            (Java, Python, or similar)          • Deep understanding of cloud-native architecture and distributed systems design             patterns          • Expertise in design, optimization, and scaling for relational (SQL) database             systems, bonus points for NoSQL database systems                         • Experience designing and implementing RESTful APIs and microservices          • Proficiency with test-driven development, automated testing, and maintaining high             code quality          • Hands-on experience with modern frontend frameworks, primarily React or Vue.js.         • Working knowledge of CI/CD pipelines and infrastructure-as-code practices          • Experience with production observability, monitoring, and performance             optimization tools   Modern Engineering Practices         • Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude             Code) as part of your workflow          • Experience applying AI tools throughout the development lifecycle from             requirements analysis, documentation to incident response         • Strong code review skills demonstrated through giving and receiving constructive             feedback          • Experience with Git workflows and collaborative development practices          • Ability to balance feature delivery with system reliability and technical excellence          • Comfortable with on-call responsibilities and incident response  What Would Make You Stand Out         • Experience building and scaling SaaS platforms         • Track record of mentoring engineers or leading technical initiatives         • Background with Spring Boot and Java ecosystem         • Experience with Azure cloud services and Kubernetes (AKS)         • Experience in healthcare technology or regulated industries         • Understanding of HIPAA compliance and handling sensitive data   Our Stack         • Front-End: React/Vue JS, Micro-Frontends, Material-UI         • Backend: Java, Spring Boot         • Data: PostgreSQL, MSSQL, Redis         • CI/CD: GitHub Actions, Jenkins         • Infrastructure: Azure, AKS, Terraform         • AI Tooling: Claude Code, Copilot     #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,000-158,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: USA (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Mexico (Remote); Israel (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Backend Functional Team, you'll lead complex projects across key company-wide objectives. Using Perl (Version 5), Go, and Node.js, you’ll write pragmatic, performant, testable code that works consistently, and work on related projects. Recent projects include: - Implementing AI-assisted answers and integrating them into our Search product while maintaining our privacy-first approach - Delivering improvements to Duck.ai to help us make it a competitive AI chat alternative for both free and paying users - Implementing sophisticated data processing pipelines that maintain search relevancy As a Senior Backend Engineer, you'll collaborate remotely with your peers and take responsibility for solving product issues impacting our all-in-one privacy solution, whether large or small. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Backend Team at DuckDuckGo. ABOUT YOU - 7+ years of professional experience, primarily focused on backend systems that power consumer-facing products - Product acumen to reason about technical tradeoffs in terms of user impact - Familiarity with AI agent tooling: evaluation frameworks, RAG pipelines and prompt engineering - A fundamental understanding of complex data structures and algorithms — you can develop and apply new solutions and confidently navigate and improve existing code. - Data-driven analytical skills for decision-making, stakeholder alignment, and experiment-oriented delivery - Solid project management abilities - Excellent written and verbal communication to validate and articulate decisions - Previous experience leading and mentoring experienced engineers, supporting their career goals, and unlocking their potential. COMPENSATION This role is paid on a regional pay scale, in local currency, and stock options: - United States: $190,500 USD annually - United Kingdom: £134,600 GBP annually - Canada: C$253,500 CAD annually - Europe/Rest of World: €157,350 EUR annually In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.   Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.   Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.   HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire. DIVERSITY, EQUITY AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. Key Principles: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo! #LI-DNI

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Role We're looking for a technical lead who can own the frontend across OKX's core crypto business verticals. You'll be deeply involved in the full frontend delivery lifecycle across Trading, Web3, Payment, and beyond — not just writing code, but helping teams and products find the right direction, make the right calls, and execute with speed and precision. This role demands the rigor of an engineer, the strategic thinking of a product manager, and the market instincts of a crypto practitioner. You don't need to carry a full-stack title, but you must genuinely understand frontend, have enough backend fluency to hold your own in architecture discussions, and — above all — understand the business. Core Responsibilities Business & Team Leadership Own the overall frontend team across core business verticals including Trading and Payment, covering hiring, development, and pipeline building. Partner effectively with Product, Backend, Security, and Compliance — driving cross-functional outcomes through technical judgment, not just execution. Product Delivery & Technical Execution Lead technical design and delivery for core business features including trading system frontend experience, wallet and asset management, AI-powered trading products, payment gateway integrations, and KYC/AML frontend implementation. Stay deeply sensitive to business metrics and user experience, making sound trade-offs between speed and quality. Product & Engineering Thinking in the AI Era Demonstrate deep understanding of how AI is reshaping product paradigms — changing user expectations, product form factors, and R&D efficiency. Integrate AI into product decisions and design, not merely as a productivity tool. Technical Judgment & Standard-Setting Drive tech stack alignment and evolution. Proactively identify and address technical risk. Establish high engineering quality standards in complex crypto security contexts — private key security, frontend attack prevention, compliance auditing, and more. Cross-Team Influence Build dual technical and business influence at the company level. Communicate technical value and business judgment clearly to engineers, product managers, and senior leadership alike. Participate in industry engagements to attract high-potential talent who are genuinely passionate about crypto. Requirements Bachelor's degree or above in CS or related field; 10+ years of engineering experience including 5+ years managing technical teams; solid full-stack capabilities with frontend depth Deep command of core frontend technologies (React/Vue internals, engineering toolchains, performance optimization, cross-platform solutions), with enough backend and API fluency to drive substantive technical discussions Proven track record leading frontend for products with DAU 1M+ in high-concurrency, high-availability environments Demonstrated experience driving cross-team collaboration and standard adoption through technical influence rather than organizational authority Industry Background (Partial Core) (Core) Genuine understanding of and enthusiasm for crypto — familiar with CEX/DEX trading mechanics, Web3 wallet and signing mechanisms, and mainstream payment gateway ecosystems Experience owning frontend delivery for trading, fintech, payments, or crypto products; comfortable navigating the tensions between compliance, security, and user experience Familiarity with the Web3 frontend ecosystem (ethers.js / wagmi / viem, WalletConnect, EVM contract interactions, etc.) Global product experience — understands the complexity of multi-language, multi-currency, multi-jurisdiction compliance requirements Engineering Competencies for the AI Era (Core) Deep understanding of how AI is reshaping product design; can integrate AI into product decisions rather than treating it purely as a development accelerator Strong ability to model and frame complex problems; defines the right problem boundaries and system abstractions before reaching for solutions Proven ability to constrain, guide, and evaluate AI outputs — decomposing complex engineering requirements into AI-executable task sequences Experience establishing team-level AI working patterns; familiar with and having practiced AI Spec-Driven Development Maintains high standards for code quality and system design integrity alongside — not despite — AI-assisted development Soft Skills (Core) Strong ownership: treats team goals as personal goals — proactive, accountable, clears obstacles without being asked Sound judgment: makes high-quality decisions under incomplete information — decisive and accountable Execution muscle: makes things actually land, not just live in decks and proposals Fast learner: thrives in a fast-moving industry; rapidly absorbs new technologies, business dynamics, and regulatory shifts and converts them into team action Bilingual: fluent English for technical discussions, documentation, and international collaboration (written and verbal at working proficiency) Discl aimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Ko ng. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Los Angeles, United States; California City, United States; Orange, United States About LBC Mortgage LBC Mortgage is a Los Angeles–based mortgage company with over 20 years of industry experience . Alongside our traditional mortgage business, we operate a fast-growing Private Money / Hard Money Lending Division , focused on funding real estate investment loans with speed, accuracy, and strong risk management. We are looking for a skilled Hard Money Underwriter who understands private lending, can underwrite deals quickly, and make confident decisions that protect the company while keeping production moving. Responsibilities Underwrite Hard Money / Private Money loans (Fix & Flip, Bridge, DSCR, Cash-Out, Ground-Up, etc.) Review loan files and borrower documentation (credit, assets, entity docs, income where applicable) Analyze property details, exit strategies, deal structure, and overall risk Calculate and validate LTV, ARV, LTC , rehab budgets, and timelines Review appraisals, comps, and market data to confirm property value and feasibility Issue approvals and conditions, ensuring fast and clear communication with the team Work closely with Loan Officers, Processors, and Management to move loans efficiently Identify red flags early and provide clear recommendations Ensure adherence to internal guidelines and lending policies Requirements 2+ years of underwriting experience in Hard Money / Private Lending (required) Strong understanding of Fix & Flip and Bridge loan underwriting Ability to evaluate ARV-based deals , rehab scopes, and budgets Strong knowledge of appraisals, title reports, insurance, and entity structures Strong attention to detail and ability to work in a high-volume, fast-paced environment Excellent communication skills and ability to make confident decisions Preferred Qualifications Experience underwriting DSCR and rental investment loans Experience with Ground-Up Construction loans Familiarity with Encompass or other mortgage/loan CRM systems Strong knowledge of investor real estate lending across multiple states Why Join LBC Mortgage Established company with strong leadership and long-term stability Growing private lending division with strong pipeline Opportunity for career growth into Senior Underwriter / Underwriting Manager role Competitive compensation based on experience Remote flexibility and supportive team environment

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world. Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns. On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value. Responsibilities: 1. Ship with confidence Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when. Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose. Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed. Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them. 2. Close the loop with users Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters. Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short. Make sure the field, Support, and Research hear back about what happened with what they sent. 3. Run the team's operating system Set the team's pace: planning, business and execution reviews, goal tracking, offsites. Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable. Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists. Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles. 4. Build with Claude Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job. Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch. You may be a good fit if you have: Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan. Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow. Have worked embedded with product leadership and can move a team without formal authority. Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics. Have direct experience managing evals, refining system prompts, and adapting harnesses to new models. Have direct experience working with Cloud providers in partnership or GTM capacity Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards. Bonus: Program managed model launches or model quality at an application-layer AI product. Run early access, beta, or design partner programs. Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $260,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.