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Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer, Frontend at Harvey, you will own and lead engineering projects that define the user experience of our different products: Assistant, Vault, Workflows, and Harvey in Microsoft Word and Outlook. You will also lead frontend engineering on new products that we are building at Harvey. The team is composed of highly motivated, skilled, and considerate engineers. Everything we touch is polished to high standards extending to all aspects of our work – from design to architecture to code to slack communication. If any of this resonates with you, this role might be right for you. This role is based in San Francisco, CA. We use a hybrid in-person work model and offer relocation assistance to new employees. WHAT YOU'LL DO - Build new interfaces for lawyers and organizations to collaborate with AI. - Lead end-to-end UI features for Assistant, Vault, Workflows, our Word/Outlook add-ins, and future Harvey products — from scoping and design reviews to implementation, launch, and iteration. - Build polished, high-performance React + TypeScript interfaces using TailwindCSS, with crisp interactions, resilient state management, and strong error handling. - Architect reusable components and patterns and evolve our internal design system. - Optimize frontend performance at scale. - Collaborate tightly with design and backend/infrastructure to shape APIs and UX for long-running jobs, streaming results, and tool-calling workflows. - Raise the bar on frontend reliability and security UX for enterprise and regulated environments. - Mentor peers through thoughtful code reviews and documentation; help refine our frontend standards and developer experience. WHAT YOU HAVE - 10+ Years of experience with React, Typescript, and CSS (we use TailwindCSS) - Track record of building fast-growing SaaS products by leveraging PWA technologies - Track record of shipping highly intuitive products, strong attention to detail - Experience working at startups and scaleups (anywhere from early-to-late-stage) is a plus COMPENSATION RANGE $238,000 - $290,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco; New York Workplace: Remote ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for strong engineers with experience building software that developers love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful abstractions that enhance developer productivity. WHAT YOU’LL WORK ON: - Improve the developer and agent experience of our SDK and CLI - Develop new primitives to meet demand for entirely new areas that arise as a result of the ongoing industry transformation YOU MAY BE A FIT IF: - You have 5+ years of experience developing high-quality Python, JavaScript, or Go applications or libraries where the code is used or interacted with by other developers - You have a strong code-as-product sense that manifests as a focus on developer ergonomics and productivity - You understand async programming, concurrency management, and their pitfalls - You have a high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems - You’re able to participate in our on-call rotation and respond to production incidents - You’re able to work in person in our New York office NICE-TO-HAVE: - Experience building developer tools or SDKs - Experience maintaining open-source software - Good understanding of agentic development workflows - Familiarity with modern data, ML, and AI tools and workflows

Location: Mexico City Workplace: hybrid Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:The Sales Development Representative (with Spanish) at Creatio is responsible for identifying and nurturing leads, prospecting for new opportunities, and setting the stage for strong client relationships in the low-code automation and CRM market. This role is critical in supporting Creatio’s sales pipeline by qualifying leads, collaborating closely with the sales team, and acting as a bridge between marketing initiatives and revenue generation.This is a hybrid role based in our Mexico City office, working with the LATAM market. Fluent English and Spanish are fully required for this position.  Responsibilities:Lead Generation & Prospecting: Proactively engage with prospective clients, identify and qualify sales opportunities, and generate interest in Creatio’s products.Market Research & Intelligence: Understand the competitive landscape, identify target industry segments, and stay informed of industry trends in CRM and low-code automation.Collaboration with Sales & Marketing: Partner with sales executives to strategize on lead quality and conversion, ensuring a seamless hand-off for qualified opportunities.Pipeline Management: Maintain accurate records of activities in the CRM, manage lead and account data, and monitor progress against sales metrics.Outbound Campaigns: Develop personalized email, phone, and LinkedIn outreach to effectively engage prospects and build a strong pipeline.Performance Optimization: Continuously refine outreach techniques and adopt best practices to enhance prospecting success.Requirements:Industry Knowledge: at least 1 year in an SDR, staffing, or related sales role, ideally within B2B SaaS, CRM, or automation software.Proven Track Record: Demonstrated success in generating leads, meeting or exceeding KPIs, and helping drive revenue growth.CRM and Sales Tools: Proficiency in CRM software and experience with prospecting tools (Sales Navigator, Outreach.io, etc.).Understanding of Low-Code & CRM Trends: Familiarity with low-code development and CRM software, with an understanding of how these technologies impact businesses.Bachelor’s degree in Business, Marketing, Communications, or a related field.Additional certifications in sales methodologies or familiarity with low-code/CRM technologies are a plus.Key Soft Skills:Communication & Interpersonal Skills: Excellent written and verbal communication skills to effectively engage C-level executives and decision-makers.Prospecting Techniques: Skilled in cold calling, email campaigns, and leveraging social media platforms like LinkedIn for prospecting.Analytical Mindset: Ability to analyze data, evaluate prospect engagement metrics, and adjust strategies based on insights.Time Management & Organizational Skills: Proven ability to handle multiple accounts, leads, and follow-ups simultaneously.Strategic Thinking: Ability to understand client needs and pain points, positioning Creatio’s value proposition effectively.Personal Attributes:Customer-Centric Mindset: Empathetic, with a focus on understanding the customer’s perspective and building rapport.Self-Motivated & Goal-Oriented: Demonstrates a drive for success, with resilience and an entrepreneurial spirit to pursue and achieve challenging targets.Adaptability: Comfortable in a fast-paced, evolving environment, with a positive attitude toward learning and adapting to new tools and approaches.Team Player: Strong sense of collaboration and willingness to share insights with the team to improve overall performance.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. Key Responsibilities Lead Generation & Prospecting: Proactively engage with prospective clients, identify and qualify sales opportunities, and generate interest in Creatio’s products. Market Research & Intelligence: Understand the competitive landscape, identify target industry segments, and stay informed of industry trends in CRM and low-code automation. Collaboration with Sales & Marketing: Partner with sales executives to strategize on lead quality and conversion, ensuring a seamless hand-off for qualified opportunities. Pipeline Management: Maintain accurate records of activities in the CRM, manage lead and account data, and monitor progress against sales metrics. Outbound Campaigns: Develop personalized email, phone, and LinkedIn outreach to effectively engage prospects and build a strong pipeline. Performance Optimization: Continuously refine outreach techniques and adopt best practices to enhance prospecting success. Required Experience Industry Knowledge: at least 1 year in an SDR, staffing, or related sales role, ideally within B2B SaaS, CRM, or automation software. Proven Track Record: Demonstrated success in generating leads, meeting or exceeding KPIs, and helping drive revenue growth. CRM and Sales Tools: Proficiency in CRM software and experience with prospecting tools (Sales Navigator, Outreach.io, etc.). Understanding of Low-Code & CRM Trends: Familiarity with low-code development and CRM software, with an understanding of how these technologies impact businesses. Key Skills Communication & Interpersonal Skills: Excellent written and verbal communication skills to effectively engage C-level executives and decision-makers. Prospecting Techniques: Skilled in cold calling, email campaigns, and leveraging social media platforms like LinkedIn for prospecting. Analytical Mindset: Ability to analyze data, evaluate prospect engagement metrics, and adjust strategies based on insights. Time Management & Organizational Skills: Proven ability to handle multiple accounts, leads, and follow-ups simultaneously. Strategic Thinking: Ability to understand client needs and pain points, positioning Creatio’s value proposition effectively. Personal Attributes Customer-Centric Mindset: Empathetic, with a focus on understanding the customer’s perspective and building rapport. Self-Motivated & Goal-Oriented: Demonstrates a drive for success, with resilience and an entrepreneurial spirit to pursue and achieve challenging targets. Adaptability: Comfortable in a fast-paced, evolving environment, with a positive attitude toward learning and adapting to new tools and approaches. Team Player: Strong sense of collaboration and willingness to share insights with the team to improve overall performance. Educational Background Bachelor’s degree in Business, Marketing, Communications, or a related field. Additional certifications in sales methodologies or familiarity with low-code/CRM technologies are a plus.

Location: India (Remote); Argentina (Remote); Romania (Remote) Workplace: Remote THE PRODUCTION TEAM AT LILT LILT’s production team focuses on onboarding and localized content delivery for enterprise and mid-market customers, who use our AI technology for their multilingual content requirements. Our team engages with customers from post-sales through steady-state production and is made up of experts in various functional and technical areas of LILT’s overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering, and Operations teams. Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers. While we’re at it, we have fun and enjoy the ride together. WHERE YOU’LL WORK This is a contract position based out of India or Romania. Authorization to work in India, Argentina, or Romania is a precondition of employment. WHAT YOU’LL DO We're looking for an experienced multimedia specialist with a localization background who loves solving hard problems, ensuring work is done on time to keep the customer experience seamless, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage competing priorities from multiple customers at once. You will be responsible for scoping and processing multimedia content within our platform and partner platforms (e.g. CaptionHub, Articulate), ensuring accurate and timely completion of tasks. You will work hand-in-hand with Sales, Production, Operations, and Engineering. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global multimedia content management lifecycle, a working knowledge of video and audio processing with respect to content pipelines and integrations. You will have the insight to make the connection between a customer’s specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. KEY RESPONSIBILITIES: - Act as a localisation subject matter expert during the pre-sales cycle, providing guidance on e-learning content workflows, tools, and formats. - Scope and plan multimedia localisation projects for e-learning content across multiple languages, ensuring accuracy, efficiency, and scalability. - Prepare source e-learning files (e.g., Articulate Storyline, Rise, Captivate) for localisation, including extraction of translatable content, audio, and visual assets. - Reintegrate translated and localised materials, ensuring fully functional, linguistically accurate final e-learning modules. - Support customer onboarding and implementation, offering workflow guidance for e-learning localisation. - Manage localisation of video, voiceover, subtitling, and interactive learning assets in line with project requirements. - Provide best practices for managing localisation-ready content and advise on automation opportunities in e-learning localisation workflows. - Operate and maintain localisation tools and platforms, supporting both AI-driven and human-led localisation processes. - Review localised e-learning content, including SCORM packages, for quality, technical accuracy, and adherence to brand and platform standards. - Perform final QA checks ("final eyes") and prepare final files for delivery to clients or internal stakeholders. - Act as the go-to expert on e-learning localisation workflows and tools across the organisation. - Meet SLAs and KPIs for engineering and localisation delivery. SKILLS AND EXPERIENCE: - 3+ years of experience in e-learning localisation or multimedia localisation with a strong focus on learning and development content. - Deep expertise in preparing and localising content developed in Articulate Storyline, Rise, Adobe Captivate, and similar authoring tools. - Strong understanding of SCORM/xAPI compliance, LMS integrations, and common e-learning file types. - Proficiency in video subtitling, editing, and localisation, including experience with voiceover, dubbing, audio integration, and subtitle syncing. - Experience with video editing software (e.g., Adobe Premiere Pro, Camtasia, Audacity) and managing media files at scale. - Familiarity with multimedia file formats and localisation-friendly formats (e.g., XLIFF, JSON, XML, STRINGS, SRT, VTT). - Exposure to CAT tools and localisation platforms (TMX editors, translation memory tools, OCR, and alignment software). - Solid understanding of character encoding, formatting rules, and localisation QA standards. - Strong organizational, communication, and problem-solving skills. - Comfortable managing large file repositories and understanding of file transfer methods (FTP, SFTP, cloud-based systems). AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: North America and Europe Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. As a senior software engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets. The market data team is responsible for improving the overall architecture of Alpaca connected to data products such as stocks, options, crypto, and foreign exchange markets. Oversee their public API structure and documentation on both streaming and historical endpoints. The team is responsible for building a cohesive developer-first API and is tasked with planning, ideating, experimenting, and putting into production the new services, and libraries that overcome some of our greatest technical challenges as we continue to scale rapidly. We are looking for senior or staff engineers who are keen on providing quality solutions, have great fundamentals, have proven experience building and architecting at scale, and are not afraid of challenging conventions. This demanding team also requires a deep understanding of POSIX-like operating systems, modern infrastructure, and orchestration practices. Things You Get To Do: Influence the overall architecture of Alpaca’s market data systems Design highly scalable, mission-critical systems Obsess over latency (every nanosecond counts) Implement backend services and lead architecture where scalability and resilience matters Maintain good software quality and test coverage Participate in code reviews Troubleshooting on incidents and reported bugs You may be asked to be on-call to assist with engineering projects that are timely in nature Who You Are (Must-Haves): At least 4 years of experience working on systems at scale Experience with at least compiled imperative languages (e.g. Go, C, C++, Rust, etc.). Most of our critical services are written in Go SQL or relational database skills Familiarity with TCP/IP, and UDP networking Proficient with Linux/BSD, and shell scripting Excited about what we are building at Alpaca Proven track record of architecting and leading medium-scale projects involving multiple teams Experience with Kubernetes or other workload orchestration and scheduling systems (we primarily use Kubernetes via GKE) Experience with major cloud platforms (we primarily use GCP) A passion for financial markets Who You Might Be ( Nice-to-Haves): Experience with Market Data Knowledge of microservice architectures Knowledge of clean code principles DevOps mindset is an asset Cloud Networking experience (BGP, VPC peering) Experience in building low-latency applications Experience with distributed key-value stores Experience with CI/CD A passion for financial markets or the desire to learn Knowledge of Agile/Scrum methodologies Experience with observability, tracing, continuous profiling Experience with capacity planning and benchmarking How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage — ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads. This is a high-impact, hands-on architecture role where you’ll define how tens of thousands of GPUs are interconnected, cooled down, powered, and optimized across multiple data center sites. You are welcome to work remotely from the USA . Your responsibilities will include: Cluster Design : Architect scalable GPU cluster topologies including compute nodes, interconnect (InfiniBand, Ethernet), storage, and control planes. Performance Modeling : Analyze AI/ML workloads (e.g. LLM training, inference) to inform design tradeoffs across latency, bandwidth, and GPU density. Network Architecture: Align with network architect relevant design and validate low-latency, high-throughput interconnects (e.g., InfiniBand HDR/NDR, RoCEv2) at POD and DC scale. Storage Integration: Work with storage teams to optimize performance for training datasets, checkpointing, and others. Reliability & Monitoring : Understand and analyze signal from monitoring systems to the detect flows in design Collaboration : Partner with site reliability, networking, storage, and DC engineering teams to operationalize and scale your architecture. We expect you to have: 5+ years of experience designing clusters. Deep understanding of modern GPU architecture (NVIDIA, AMD, etc.). Experience with HPC interconnects (InfiniBand & RoCE). Solid background in systems architecture, networking, and hardware reliability. Experience in scripting for automation and telemetry pipelines (Python, Go, etc.) Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries ranging from $184K to $318K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades. What we offer Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Hybrid working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom Workplace: remote Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling. Infomediji develops leading immersive streaming technology serving multiple enterprise customers and millions of users globally. We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys. If this excites you more than it scares you, you are in the right place. The Role We’re looking for a Content Acquisition Manager to drive our platform in US and EU markets. This role is about structuring operations, attracting top content, and fostering a thriving ecosystem that sets our products apart from the competition. What You Will Do Identify and reach out to immersive content creators and studios worldwide Negotiate partnerships and guide new partners through onboarding Ensure partners upload and publish content successfully Build and maintain long-term relationships with creators and productions organizations Track performance and help partners grow their audience Monitor and organize meetups with content creators Maintain a CRM of immersive content creators in US and EU with detailed statuses What We Are Looking For Relevant experience preferably in live-streaming, video-sharing, social media, tech, startups Experience in creator partnerships, content acquisition, or digital media Ability to work cross-functionally, structuring and optimizing team processes A proactive, hands-on mindset with the ability to drive impact in a fast-moving environment Fluency in English (B2 and above) Bonus Points An understanding of immersive media, and content platforms Experience creating and executing comprehensive business development strategies Hiring Process HR Screening (30 min) HM Interview (30 min) Case task (2-4 hours) CEO Interview (30 min) 💼 Explore our hiring process What We Offer Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity. The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation. Join us and embrace a role where your expertise meets technological innovation!

Location: London, Singapore Selini Capital - Job Description Role: Quantitative Researcher Location: London, Singapore Working Pattern: Office-Based About Selini: Selini is a global trading firm focused on systematic trading and venture investing, all within the digital assets space. The Role: Selini Capital is seeking a highly analytical and technically gifted Quantitative Researcher to join our high-frequency trading team. In this role, you’ll focus on refining features, designing better models, and advancing core research pipelines. You’ll collaborate closely with other researchers and engineers to push the boundaries of what’s possible in highly competitive electronic markets. The ideal candidate is a curious, rigorous thinker with a strong technical foundation and a bias toward empirical validation. You enjoy working with data, building systems to understand it, and using that understanding to drive performance. Responsibilities: As a Quantitative Researcher, you will: Design, test, and refine features and model architectures to improve prediction and execution performance Develop and improve research pipelines and tools for large-scale strategy simulation and optimization on a cutting-edge compute cluster Conduct deep-dive analyses of market data, live strategy behavior, and model outputs to guide iterative improvements Stay up-to-date on advances in quantitative methods, ML, and optimization applying new insights to real-world challenges Why This Role Is Unique: Research First - This role is research-heavy you’ll be focused on signal improvement, model fidelity, and hypothesis generation, not plumbing infrastructure or devops. Breadth and Depth - You’ll work at every level of the alpha stack: from feature design and statistical modeling to optimizer tuning Direct Feedback Loop - We deploy and iterate quickly. Your work will feed directly into live strategies and have measurable real-world impact World-Class Environment - Join a high-talent, low-ego team with experience across elite trading firms, olympiads, and academic research Core Qualifications: 1–5 years of experience in quantitative research, applied ML, or statistics Fluency in Python and/or C++, with the ability to translate research concepts into performant, production-ready implementations Strong knowledge of algorithms, linear algebra, statistics, and optimization techniques Ability to uncover meaningful structure in noisy, high-frequency market data — from alpha signal extraction to modeling order book behavior Can take research ideas from concept to experimental evaluation with minimal supervision Signals of Excellence: Track record of PNL generation using model-driven strategies Outstanding academic record in a quantitative field Strong performance in competitive programming or quantitative olympiads Company Culture & Team Fit: We’re a close-knit team that values: High ownership and initiative Curiosity, intellectual honesty, and rapid learning Clear, direct communication Working together toward shared goals no ego, no politics We hire people who love building, solving, and improving and who want to learn from and contribute to a team of exceptional peers. Compensation & Benefits: Very competitive compensation, with strong upside based on contribution and performance Competitive holiday allowance Pension contribution and medical cover Free daily Deliveroo lunch High-spec office and technology Team socials Global company offsites and development opportunities

Location: Chemnitz, Germany About Our Client They are a respected European brand in enamel-coated architectural panels and glass-fused-to-steel tanks and digestors . Their solutions are valued for their durability, aesthetic quality, and performance in harsh conditions: Architectural Panels – For tunnels, train stations, subways, and building facades, known for fire resistance, low maintenance, and long-term color retention. Storage Tanks – For drinking water, wastewater, agricultural grain, and animal feed storage, offering corrosion resistance and longevity. Biogas Digestors – For renewable energy production from organic waste and agricultural residues, trusted for gas-tightness and chemical durability. Their brand is now supported by a global industrial group with a successful track record of rebuilding and scaling engineering businesses in both Germany and India. With access to capital, leadership depth, and market access, the new ownership is committed to preserving the brand’s legacy while driving operational modernization. About the Role They are seeking a results-oriented and hands-on head of quality, who is focusing quality-leadership in the worldwide markets of their brand, strategic quality management based on process improvements, and roll out quality-culture over the full team. Reporting to COO/CEO. Requirements Key Qualifications 5–7 years of experience in quality management and leadership in German industrial manufacturing , ideally in metal fabrication, coatings, tanks, or building materials Strong knowledge of relevant quality standards and regulations ISO 9001; ISO 14001, ISO 45001, ISO 50001 Hands-on mentality and team spirit High quality and safety awareness High personal ownership, integrity, and the ability to lead by example Key Responsibilities Development of strategies, design, implementation, and maintenance of processes and systems for managing and directing an Integrated Management System for Quality Investigation and resolution of quality issues, response to customer complaints to ensure an optimal level of customer satisfaction. Analysis of system effectiveness, development of strategies for managing the internal/external audit process for ISO 9001, ISO 14001, and ISO 45001, and presentation of system performance reports to the management team. Conducting internal audits and organizing external audits according to the company's approved audit program Employee development and training regarding quality awareness Leadership of a small team Benefits Why This Role? Be at the forefront of restoring a legacy industrial brand with real technical depth and global reputation. Operate with autonomy, clarity, and full support from a respected and successful international parent company. Help shape a company’s next chapter—not as a caretaker, but as a builder. Attractive compensation, aligned to responsibility and results.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Account Executive on the Startups team, you’ll land net-new startup customers and help them adopt Vercel through scaling, working with founders and technical leaders who are making critical architectural decisions. You’ll generate your own pipeline, spot high-potential startups early, and make Vercel their default stack before competitors get in. The main focus is turning early plays into repeatable playbooks that scale across our startup portfolio, using automation and agents to work at high leverage. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin. What you’ll do Generate pipeline through outbound, targeting high-potential startups early Land new logos and drive first activation on Vercel Build relationships with founders, developers, and technical leaders by learning their architecture, use cases, and constraints Guide teams adopting AI-native architectures and show how Vercel supports new workloads, performance requirements, and scaling patterns Build automations, agents, and workflows to focus your time on the highest-impact customer work, and turn what works into repeatable playbooks What you need 2+ years of experience closing deals Owned revenue outcomes across a range of deal sizes and complexities Worked with founders and technical leaders at companies from pre-seed through Series D Can explain how modern web and AI-native applications are built and scaled, including frontend performance and scaling tradeoffs Bonus if you Have built, founded, or engineered software, or worked in a technical go-to-market role Have helped grow an early sales motion into a structured one Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $170,000 - $240,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: 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 Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities. Responsibilities: Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies. Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identify and remediate security gaps through code review, threat modeling, and hands-on debugging Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation You may be a good fit if you have: At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production Bachelor's degree in Computer Science or equivalent industry experience Strong programming skills in Python or at least one systems language such as Go or Rust Experience contributing to cloud security controls A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix Clear communication skills and the ability to work collaboratively across engineering teams Low ego and high empathy, with a genuine interest in helping teammates succeed Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy Experience with eBPF for security monitoring and enforcement, or developing kernel security policies Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE Background building or operating security systems in environments that support research workflows and rapid iteration Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus We are looking for a Data Governance Analyst to join our team.RequirementsBusiness Metrics & Data Governance: experience documenting and standardizing business metrics, KPIs, business glossary, and business logic to establish a single source of truth across the organization.Data Quality: hands-on experience translating business requirements into measurable Data Quality rules and implementing automated validation using Great Expectations, Soda, dbt Tests, or similar frameworks.SQL & Python: strong SQL and Python skills for data validation, automation, framework development, and root cause analysis of data quality issues.Metadata Management: experience with data catalog and metadata management platforms (OpenMetadata, DataHub, or similar) to maintain metadata, lineage, and documentation.Data Governance Principles: solid understanding of Data Governance, Data Stewardship, Data Lineage, Metadata Management, and Data Lifecycle Management to support scalable governance practices.AI: practical experience using AI tools to automate workflows, improve productivity, and enhance data analysis and documentation processes.Nice to haveExperience with streaming technologies (Kafka, Spark, Flink).Experience with orchestration tools (Airflow, Dagster) and CI/CD.Experience with semantic/metrics layer tools (dbt Semantic Layer, Cube, LookML).Knowledge of data privacy and security standards (GDPR, CCPA).Previous experience in iGaming or FinTech.ResponsibilitiesDefine and standardize business metrics, KPIs, and business glossary together with stakeholders to ensure consistent business definitions across the company.Drive Data Governance adoption by introducing standards, best practices, and governance processes across data domains.Design and develop the company's Data Quality framework, including validation rules, monitoring, and quality standards to improve data reliability.Implement and maintain automated Data Quality checks and anomaly detection to proactively identify and resolve data issues.Build and manage the data catalog, metadata, and data lineage to improve data discoverability and transparency.Collaborate with Data Engineers to integrate Data Quality controls into data pipelines and investigate data inconsistencies across systems.We offer:High salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;24-days holiday leave;First line seaview from your office;Corporate English and Greek lessons;GYM and SPA in the office;Corporate meals;Eventful corporate life;Exciting work challenges that allow you to grow to your full potential;Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Location: Paris; London; New York; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels. Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00. Key Responsibilities: - Design and write high-performing and scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem. - Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime. - Research, implement, and experiment with ideas on our cluster and data infrastructure. - Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams! Qualifications: - Extremely strong software engineering skills. - Value test-driven development methods, clean code, and strive to reduce technical debts at all levels. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR. - Experience using and debugging large-scale distributed training strategies (memory/speed profiling). - [Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray). - [Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance. - [Bonus] Experience in ML, LLM and RL academic research. This role is perfect for you if you: - Have a deep passion for quality work. - Enjoy tuning and optimising large LLM models. - Comfortable working with people with different levels of software engineering skills, from beginner to more advanced. - Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. - Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team The DRW C/FICCO Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval. About the Role In this role you will: Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities. Take full ownership of data products, guiding them from initial concept through to stable production. Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability. Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems. Provide on-call support as needed. Qualifications: A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading Experience with Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Our L3 Support Line is the datacenter center of expertise for servers, GPU platforms, firmware (BIOS and BMC) and deep Linux diagnostics across Europe and the US, and it is growing. This position owns the L3 knowledge system: the documentation standard, the SOP and runbook library, the error catalog and the review cycle that keeps them true. You are an engineer who writes, not a writer who has learned some engineering. You sit in on L3 investigations, capture what was found and turn it into procedures L1 and L2 technicians can follow safely. You do not carry the ticket queue; your week is documentation. Our principle: a problem is not solved until the runbook or SOP is updated. Your responsibilities will include: Own the L3 knowledge system (Primary Focus) * Own the documentation standard used by all L3 teams: templates, quality bar, ownership, approval workflow and review cycles. * Build and maintain the SOP, runbook, troubleshooting guide and error-code library for GPU platforms, server hardware, firmware, out-of-band management and Linux diagnostics. * Prioritize by incident frequency, impact, risk and recurring L1/L2 escalations, and keep the library findable and linked. * Run reviews after platform changes, firmware releases and incidents; manage draft, approved, deprecated and archived states. Turn investigations into procedures * Join L3 and RnD investigations to capture symptoms, root causes, evidence, resolutions and preventive actions. * Write repeatable procedures with prerequisites, warnings, decision points, expected output, rollback and escalation conditions. * Resolve missing or conflicting information with the engineers involved before publishing. Write and test for L1, L2 and L3 * Layer the content so L1 gets exact steps and safeguards while L3 can reach the deeper diagnostic detail. * Validate procedures end to end, have L1 and L2 technicians run them without coaching, and fix what makes them hesitate. * When escalations recur, check whether the documentation is wrong, hidden, unclear or incomplete. Platform readiness and hands-on * Produce the documentation package for each new hardware platform before it enters production support. * Travel to datacenters to observe procedures as they are really run and capture knowledge after incidents. We expect you to have: * Strong hands-on experience with datacenter servers and Linux troubleshooting. * Working knowledge of server hardware, BIOS/BMC firmware and out-of-band management (IPMI, Redfish or similar). * A record of writing runbooks, SOPs or troubleshooting guides that operations teams actually used. * Strong working knowledge of Atlassian Confluence; this is a must. * Clear, structured written English for readers at different technical levels. * The judgment to separate verified fact from assumption and push back on unclear input. * Fluent English (written and spoken) and willingness to travel. It will be an added bonus if you have: * Familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux log correlation). * Experience with ipmitool and Redfish workflows and firmware lifecycle. * Scripting skills (bash and basic Python) for log collection. * Experience with documentation-as-code or Git-based workflows. * Exposure to OCP-based platforms and ODM ecosystems. What success looks like * L1 and L2 resolve more issues safely without escalation. * Recurring incidents produce measurable improvements to the knowledge base. * New platforms enter production with complete documentation. * Operational knowledge no longer depends on one engineer or an undocumented conversation. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is looking for a Manager, Strategic Sales to join our dynamic team of creatives, engineers, marketing wizards, and brilliant business folks. You aren’t the typical sales leader, and we aren’t the typical product development company. At Figma, we think outside the box, lift constraints that block our imagination everyday, and we expect you to do the same. With this role you’ll get in at the ground floor in a fast growing sales org. You’ll consult with our existing customer base and potential customers in driving meaningful relationships that add value to the customer experience and revenue to our bottom line. Figma is growing and moving fast. Our next team member will have an agile, dynamic mindset, be comfortable embracing change, a true team-player, and love working with our growing footprint of Fortune 1000 customers. You won’t be alone! Figma has an incredible team and you’ll work closely with other groups including Support, Design, Engineering, Product Marketing, Customer Success, and Community. As Manager, Strategic Sales, you will lead a team of Account Executives responsible for continuing the growth of our Enterprise products. You will report directly to our VP of Enterprise and Strategic Sales, North America. This is a full time role. Open to remote within the U.S., with a preference for candidates based in one of our hubs. What you’ll do at Figma: Lead our Strategic Segment for North America Participate in customer and prospect meetings with our largest and most strategic customers Attract and retain top talent across the team Help shape and further develop sales processes and initiatives Establish the strategy for the continued growth across our most strategic segment We'd love to hear from you if you have: 7+ years of sales experience (preferably within SaaS) 2+ years of management experience Understanding of our technical and competitive landscape Ability to thrive in a constantly changing and evolving environment Exceptional coaching, writing, discovery and presentation skills Excitement for increasing customer happiness and developing lasting customer relationships Proven track record of leading successful and consistent sales team At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $155,500 — $230,500 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Kansas - Remote; Missouri - Remote; Nebraska - Remote; North Carolina - Remote; South Carolina - Remote; Texas - Remote Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Olsson is seeking a Project Mechanical Engineer to join our Federal Engineering and Design Team, where you’ll lead mechanical system design for high-impact federal infrastructure projects. These include VA hospitals, DoD facilities, medical centers, and other government buildings that serve veterans, military personnel, and federal agencies. You’ll be part of a multidisciplinary team delivering efficient, sustainable, and code-compliant mechanical solutions that meet federal standards and improve lives. This role offers the opportunity to lead projects from concept through construction, mentor junior engineers, and contribute to Olsson’s growing federal portfolio. Key Responsibilities As a Project Mechanical Engineer, you’ll be responsible for: Lead mechanical design efforts for federal, healthcare, and institutional facilities, including HVAC, plumbing, and medical gas systems. Prepare detailed engineering documents, cost estimates, and design calculations. Ensure all designs meet VA standards, UFC, IBC, ASHRAE, NFPA, and other applicable codes and guidelines. Coordinate with architects, other engineering disciplines, and federal stakeholders to ensure seamless integration of mechanical systems. Manage project schedules, budgets, and deliverables. Lead internal design reviews and quality control processes. Participate in client meetings, site visits, and stakeholder presentations. Build strong relationships with federal clients and partners. Support business development efforts by contributing to proposals, scopes of work, and federal RFP responses. Provide guidance and technical support to junior engineers. Foster a collaborative and growth-oriented team environment. Preferred Qualifications We’re looking for candidates who bring technical excellence, leadership, and a passion for federal service: Bachelor’s or Master’s degree in Mechanical Engineering. PE license (required). 6+ years of experience in mechanical design, with strong preference for VA, DoD, or healthcare facility experience. Proficiency in Revit, AutoCAD, and HVAC design software. Familiarity with VA design standards, federal project delivery processes, and commissioning protocols. Strong communication skills and experience coordinating multidisciplinary teams. Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Why Join Us Contribute to projects that serve veterans, military personnel, and federal agencies. Choose from remote, hybrid, or in-office arrangements that support your lifestyle and productivity. Join a team that values mentorship, innovation, and shared success. We celebrate wins together and learn from challenges. Advance your career through leadership roles, technical training, and exposure to high-profile federal clients. Enjoy competitive compensation, comprehensive benefits, and a workplace culture that puts people first. #LI-HH1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.