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Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE LangChain is scaling for our next phase of growth, and we are looking for our founding People Partners who are business operators at heart. In this role, you aren’t just "supporting" the team—you are a strategic co-pilot to our EPD, GTM, and Ops leaders. You will proactively anticipate organizational friction, design people solutions that drive business results, and leverage an AI-first mindset to eliminate administrative toil. We are looking for a resilient builder who moves at the speed of an AI startup. You will be deeply embedded in the business, using data to diagnose problems before they arise and influencing senior leadership to make the right calls on org design, talent density, and leadership. LOCATION/CITY: San Francisco, CA; New York, NY RESPONSIBILITIES: - Business-First Partnership: Embed deeply with Engineering, Product, GTM, and Ops to understand their roadmaps. You drive business outcomes—velocity, quality, and retention—through intentional people strategies rather than standard HR playbooks. - Proactive Organizational Architecture: Act as an early warning system. Use data and organizational pulse to anticipate burnout or friction points. Partner with leaders to architect high-performance team structures, headcount forecasting, and foundational builds. - AI-First Operations: Ruthlessly automate the routine. Leverage AI tools and modern tech stacks to streamline people processes, ensuring your time is spent on high-leverage coaching and strategy rather than manual administration. - Strategic Coaching & Influence: Serve as a truth-teller to leaders, from first-time managers to industry veterans. Provide high-signal coaching on performance, leadership, and team dynamics, pushing back when necessary to maintain our high bar. - Data-Driven Insights: Own the People Dashboard for your business units. Build clear, concise one-pagers based on metrics—from attrition trends to comp parity—to influence leadership decisions. - Program Implementation & Stewardship: Tailor the rollout of core programs (compensation cycles, leveling, performance frameworks) to the specific needs of your units. Manage sensitive employee relations with empathy, legal rigor, and a focus on excellence. - XFN Collaboration: Work seamlessly across the People team, flexing between building new programs and partnering with the hiring machine to ensure united solutions for the business. REQUIREMENTS: - Experience: 8+ years as an HRBP or People Partner in a high-growth, fast-paced tech environment. - Business & AI Fluency: Technical and AI-savvy. You speak the language of engineers and researchers and are an early adopter of AI tools to up-level your own productivity. - Strategic Influence: A truth-teller with the confidence to push back on senior leaders and the EQ to do it effectively. - Data-Driven: You don't rely just on gut feel. You use data to tell stories, identify trends, and back up your recommendations. - Precision Communication: A master of high-stakes communication. You can draft a Slack message, a 1-pager, or a board slide that is clear, concise, and persuasive. - Resilient Hustle: You thrive in the grey of a startup and manage multiple high-priority work streams without losing focus. You identify organizational gaps and build solutions without waiting for a ticket. COMPENSATION - Annual salary range: $160,000 - $230,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London, UK 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 are looking for software engineers to help build the foundational pieces for safety, oversight and intervention mechanisms of our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight. Responsibilities: Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review. Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required. Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in Python Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 7+ years of experience in a software engineering position Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems Have experience building metrics and measurement systems or data and privacy management systems Have worked closely with operational teams to build custom internal tooling Be proficient in TypeScript or Rust Have experience with Claude Code or similar agentic coding tools 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: £325,000 — £395,000 GBP 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: San Francisco Workplace: onsite Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary:   We’re looking for a UI Engineer to focus on execution, polish, and UX quality across the Word add-in and the web app. This role is engineering-first. You won’t own UX strategy or define workflows from scratch. Instead, you’ll work from clearly defined interaction models and design direction set by the Product Design Engineer and Frontend leads, and make the product feel fast, intentional, and reliable.   You should care deeply about details, understand how AI systems behave at the UI layer, and be comfortable working with streaming states, partial results, and failure modes without papering over them. Responsibilities Implement high-quality UI across the Word add-in and web app using React and TypeScript Improve interaction quality for AI-driven workflows, including loading states, streaming output, retries, and error handling Reduce UX friction across the product by fixing layout issues, state inconsistencies, spacing problems, and rough edges Apply and extend existing design patterns and component systems consistently Work closely with Product Design Engineers and Frontend Engineers to ensure design intent is preserved in implementation Make AI behavior feel understandable, predictable, and trustworthy at the UI layer Move quickly on UI fixes and improvements without waiting on heavy product or design processes Qualifications Strong frontend engineering skills with React and TypeScript High standards for UI polish, interaction quality, and visual consistency Comfort working with async systems, streaming data, and non-deterministic states Enough system-level understanding to reason about latency, failures, and partial results Ability to take direction clearly and execute with precision A bias toward fixing what’s broken instead of working around it Experience with complex, user-facing products where UX quality mattered Nice to Have Experience with AI-powered products or systems with streaming or long-running workflows Experience building for constrained or embedded surfaces like plugins, extensions, or add-ins Familiarity with Microsoft Word add-ins or similar environments What's In It For You You’ll work on a flagship AI product used daily by legal teams You’ll ship frequently and see your work live in production You’ll collaborate with senior engineers and product leaders in a tight feedback loop You’ll help shape a UI that users actually trust If you care about clean UI, strong execution, and making complex systems feel simple, we’d like to talk. Compensation Information: $120,000 - $160,000 base   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.       Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: San Francisco Workplace: onsite Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary:   At Filevine, we’re building the AI layer that powers contract review and drafting across the platform. Our team owns the Word-based contract-workflow experience end to end: fast redlines, playbook automation, clause-level analysis, and the UX lawyers rely on every day for high-stakes work.   We operate as a focused, senior, high-output group inside Filevine. We move quickly, ship directly into Word and the browser, and define how AI shows up across the contract lifecycle for thousands of legal teams. Design is central to everything we do. Lawyers notice every detail, and their trust depends on the quality and clarity of the experience we build. Responsibilities Talk to customers, sit in on review sessions, and map real workflows Translate ambiguous product requirements into clear flows, UI patterns, and prototypes Design and implement UI surfaces across Word add-ins and the web app Build high-fidelity mocks that communicate ideas quickly to founders and engineers Write production-quality React and TypeScript to improve UX without waiting on engineering Define and maintain the design system, visual language, and interaction patterns Simplify multi-step legal workflows into intuitive, compact interfaces Validate ideas directly with users and iterate quickly based on feedback Identify UX gaps, propose changes, and drive them from concept to shipped feature Qualifications Deep product taste and strong user empathy Experience designing for constrained interfaces (plugins, iOS, add-ins, extensions) Ability to run lightweight research: user interviews, workflow mapping, usability tests Strong frontend engineering skills in React/TypeScript Experience owning both design and engineering for a feature end to end Ability to create polished mocks and prototypes without a dedicated designer Comfort working in a fast-moving environment with incomplete inputs Bias toward action: you see something broken, you fix it Bonus: experience with AI products, legal workflows, or highly technical interfaces What You'll Work On: Redesigning the Word add-in pane to reduce vertical layers and improve action discoverability Mapping user contract-review workflows and turning them into cleaner UI flows Building a new design system that brings consistency to actions, drawers, modals, and toolbars Prototyping a small-screen version of a complex playbook editor Simplifying the view: progress bars, action bars, multi-document navigation Improving the UI/UX based on customer interviews Designing and implementing an updated clause-analysis UX with fewer steps and clearer decisions Compensation Information: $120,000 - $160,000 base   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.       Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: San Francisco Workplace: onsite Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary:   We’re looking for a senior or staff-level frontend engineer to own core product surfaces across Word and the web app. You’ll set the bar for UI quality, drive architectural decisions, and collaborate closely with design, backend, and AI engineering. You’ll shape the workflows that thousands of legal teams use every day.    This is a role for someone who wants real ownership, fast iteration cycles, and broad influence inside Filevine’s most technical and user-facing product area. Responsibilities Lead development of complex, high-impact product areas across the web app and Word add-in Define and evolve the frontend architecture, component patterns, and design system Own the UX for core workflows like redlining, clause comparison, and playbook creation Work closely with design to set interaction patterns, reduce cognitive load, and ship polished interfaces for non-technical users Collaborate with backend and AI teams to integrate LLM features with predictable, stable UX Raise the engineering bar across performance, accessibility, reliability, and code quality Mentor other engineers and help shape the engineering culture as the team scales Partner with product and founders on roadmap strategy, scoping, and delivery Qualifications 6+ years of frontend engineering experience with deep expertise in React and TypeScript Strong architectural instincts and experience building complex, data-heavy, user-facing products Ability to break down ambiguous problems and drive from concept to shipped solution Track record of owning large product surfaces end-to-end High standards for UI polish, edge-case behavior, and accessibility Comfort working closely with design and product leadership Bonus: experience with Microsoft Office add-ins, LLM-powered products, or legal tech Compensation Information: $150,000 - 250,000 base   The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.       Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: Canada Workplace: remote ABOUT YOU   We’re looking for a Backend Software Engineer with a strong infrastructure mindset to join our Technology team. This role sits at the intersection of backend development and platform engineering, with Kubernetes as a first-class concern, not just a deployment target.   Our platform dynamically scales hundreds of servers daily, orchestrating isolated runtime environments inside Kubernetes pods. You’ll help design, build, and evolve the backend services and infrastructure systems that make this possible—focusing heavily on Infrastructure as Code, dynamic scaling, and reliability at scale.   If you enjoy working close to the metal (while still writing application code), thinking in systems, and solving problems where application behavior and infrastructure behavior are deeply intertwined, this role is for you.     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world.   For more information, visit xsolla.com. Responsibilities: Design, develop, and maintain backend services and APIs using Node.js and TypeScript Architect and evolve Infrastructure as Code (IaC) that drives dynamic Kubernetes scaling and orchestration Build and maintain Docker-based deployment pipelines and runtime images Design and optimize deployment and scaling strategies across many services and environments Collaborate closely with engineering and DevOps to ensure systems are resilient, observable, and secure Monitor, troubleshoot, and improve system performance, reliability, and cost efficiency Document infrastructure patterns, operational workflows, and best practices Stay current with emerging tools and approaches in cloud infrastructure and backend systems Qualifications & Skills Deep hands-on experience with Kubernetes, including: Autoscaling and capacity management, Cluster-level behavior and lifecycle concerns, and Production debugging and incident response Strong experience building and running Dockerized workloads Proficiency in Node.js and TypeScript for backend services Practical experience with Infrastructure as Code (Terraform or similar) Experience designing and operating scalable backend systems in production Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Backend Software Engineer position, we will conduct a background check that may include: - Criminal history check - Employment verification - Education verification   Relevance to Job Responsibilities: The background check is relevant to this position due to responsibilities such as accessing confidential company data and ensuring compliance with regulatory requirements.   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Canada Workplace: remote ABOUT YOU   We are looking for a Video Streaming Engineer who is innovative, detail-oriented, and passionate about building high-performance video streaming solutions to join our Technology team. The ideal candidate thrives in a fast-paced, collaborative, and dynamic environment, and is excited to architect, optimize, and maintain advanced video streaming pipelines and infrastructure for global audiences.   Strong technical expertise in GStreamer, Chromium Embedded Framework (CEF), FFmpeg, Docker, Rust, C++, and modern video codecs and protocols is essential. You will be responsible for designing and implementing low-latency, high-quality video streaming systems, integrating with a variety of containers and transmission protocols, and ensuring seamless playback and compositing across platforms.   If you are passionate about advancing video technology and love solving complex challenges in real-time media delivery, we would love to hear from you!     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world.   For more information, visit xsolla.com. Responsibilities: Design, develop, and optimize video streaming pipelines using GStreamer, FFmpeg, and CEF as part of the compositing pipeline. Implement and maintain support for a wide range of video codecs (e.g., H.264 , HEVC, VP8, VP9, AV1, VVC) and containers/protocols (e.g., FLV, HLS, RTMP, SRT, MPEG TS, MP4). Build and deploy streaming solutions using Docker and containerized environments. Develop high-performance, low-latency video processing modules in Rust and C++. Manage integration of CEF into the video compositing pipeline to enable advanced rendering and overlay capabilities. Monitor, troubleshoot, and optimize streaming quality, latency, and reliability. Collaborate with cross-functional teams to deliver seamless video experiences for end users. Stay current with industry trends and emerging technologies in video streaming and real-time media delivery. Document architecture, processes, and best practices for video streaming systems. Qualifications & Skills Proven experience with GStreamer and FFmpeg for video processing and streaming. Hands-on experience integrating Chromium Embedded Framework (CEF). Proficiency in Docker for containerized deployments. Strong programming skills in Rust and C++. Deep understanding of video codecs ( H.264 , HEVC, VP8, VP9, AV1, VVC). Experience with video containers and transmission protocols (FLV, HLS, RTMP, SRT, MPEG TS, MP4). Solid grasp of network protocols and real-time media transmission. Experience optimizing for low latency and high reliability in video delivery. Nice to Have: Experience with cloud-based video streaming infrastructure (AWS, Azure, GCP). Familiarity with DRM, adaptive bitrate streaming, and content protection. Knowledge of WebRTC or similar real-time communication technologies. Experience with performance profiling and debugging of multimedia applications. Background in gaming, live streaming, or interactive media. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Video Streaming Engineer position, we will conduct a background check that may include: - Criminal history check - Employment verification - Education verification   Relevance to Job Responsibilities: The background check is relevant to this position due to responsibilities such as accessing confidential company data and ensuring compliance with regulatory requirements.   By submitting your application, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with the Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. As Ramp’s founding Privacy engineer, you will build a privacy program that powers Ramp’s growth while earning trust from customers and prospects. What You’ll Do - Build privacy-focused application primitives and integrate them into our existing products - Partner with other engineering teams to design and deploy solutions which are inherently privacy-centric and secure - Improve, implement, and deploy data retention and anonymization strategies across our environment - Track shifting legal standards (alongside with Ramp’s Privacy Counsel) and update Ramp systems and processes to match What You Need - Minimum of 4 years of experience building software - Minimum of 2 years of experienced focused on platform, privacy, and/or security - Desire to work in a fast-paced environment, continuously grow, and master your craft - Ability to turn business and product ideas into engineering solutions Nice-to-Haves - Working knowledge of data-protection legal requirements - Experience with Python (Flask), React, and AWS (ECS, as well as other core services) BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Product Security team helps make Ramp the most secure place for our customers to collect, manage, and put to work their business’ financial information. Our work centers in three areas: - Ramp builds products with an eye for security - Ramp detects and responds to threats before they cause harm - Security powers Ramp’s growth Check out our Engineering Blog https://engineering.ramp.com/ for more on our tech stack, mission and values! What You’ll Do - Build security-focused application primitives and integrate them into our existing products - Design and deploy platform-level mitigations to common security issues - Lead remediation of prioritized issues across our technology stack: collaborating with other engineers to triage and fix vulnerabilities discovered internally, through penetration testing, and through our bug bounty program - Partner with engineering teams to design and deploy solutions which are inherently secure - Champion the use of tooling (linters, static analysis, posture assessment scanners, query inspectors, etc.) which help Ramp engineers build secure systems more quickly What You Need - Minimum of 5 years of experience building software - Minimum of 2 years of experience focused on platform, infrastructure, and/or security - Desire to work in a fast-paced environment, continuously grow, and master your craft - Ability to turn business and product ideas into engineering solutions - Alignment with Ramp’s core values of enabling businesses to grow more by spending less Nice to Haves - Experience with Python (Flask), Elixir, and AWS (ECS, as well as other core services) - Experience analyzing and improving the security posture of infrastructure in AWS BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT QRT is hiring a Senior Product Security Engineer to protect diverse tech systems across cloud, business apps, and core infrastructure. In this role, you’ll drive automated security processes, influence architecture, and lead strategic security projects. Working closely with IT, cloud, and engineering teams, you'll implement security solutions for low-latency systems and multi-cloud platforms, including AWS, Azure, and Alibaba Cloud. You'll also secure hybrid infrastructures across Python, C++, and Kotlin/Java environments, ensuring robust protection that supports QRT’s high-speed, data-driven operations. Support the implementation of security controls and processes for product security, focusing on a broad range of systems, including core trading infrastructure, cloud services, and business applications across both Windows and Linux environments. Collaborate with engineering and product teams to integrate security into product design and development, applying your experience in securing large-scale software systems in a fast-moving environment. Contribute to the development and maintenance of a secure software development lifecycle (SDLC) with a focus on secure coding practices in languages like Python, C++, Rust, Go and Kotlin/Java. Conduct threat modeling, vulnerability assessments and security code reviews across different platforms, ensuring security is embedded at every stage of the development lifecycle. Provide mentorship, guidance, and training on security best practices and secure development processes to engineering teams working in mixed cloud and operating systems environments. Perform vendor security reviews to assess third-party security practices and ensure compliance with QRT’s standards. Integration of security scanning tools (SAST, DAST, etc.) into CI/CD pipelines and runtime environments to ensure continuous security monitoring and threat detection across Alibaba Cloud, AWS, Azure, and on-prem systems. Proactively identify security risks and develop strategies for risk mitigation in a fast-paced high-stakes environment. Your present skillset At least 7 years of experience in product security or similar roles with significant practical experience in securing software development at scale. Proven record of accomplishment in secure coding practices and development experience in development languages such as Python, C++, Rust, Go and Kotlin/Java. Strong technical background in software development, system architecture and security tools. Strong understanding of security principles, techniques and technologies related to software and product security, cloud platforms and business applications. Knowledge of low-latency financial systems would be an advantage. Experience working with and securing both Windows and Linux-based systems. Extensive experience with one or more cloud platforms such as AWS, Microsoft Azure and Alibaba Cloud used in a hybrid environment. In-depth knowledge of threat modeling, risk assessment and development of mitigation strategies for large-scale, complex systems in a fast-paced environment. Experience integrating security scanning tools into CI/CD pipelines and runtime environments. Experience conducting vendor security reviews and managing third-party security assessments. Excellent leadership, problem-solving, communication and adaptability skills, suited for a senior-level position in a fast-paced environment. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive (Life Sciences) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading life sciences organizations. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across pharmaceutical, biotechnology, and research organizations. You'll leverage deep life sciences sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into R&D, clinical development, and commercial workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for life sciences decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across pharmaceutical, biotech, and research organizations, and running the strategies to win them. By driving deployment of Anthropic's emerging products into life sciences enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across pharmaceutical, biotechnology, and research organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of R&D, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate life sciences-specific needs — R&D, clinical development, commercial — into product and roadmap input Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader life sciences motion Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications 5+ years of enterprise sales experience in life sciences, with demonstrated success covering bio, pharma, and research organizations A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within life sciences (pharmaceutical, biotechnology, or research organizations) Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large pharmaceutical or biotechnology companies Deep familiarity with regulated-industry selling — GxP compliance, data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of pharma/biotech organizations Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience navigating long, multi-stakeholder enterprise cycles (12+ months) typical of biopharma R&D and drug development procurement 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: $290,000 — $450,000 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: Paris, Zurich Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration. We are looking for an experienced Senior Data Platform Engineer to join our DevOps team in Paris. This is a senior, hands-on role for an engineer who can challenge and reshape our existing infrastructure, set technical direction, and raise the bar across the team . This role is fully on-site , with a strong focus on ensuring the reliability and scalability of our production data infrastructure. Your future role within QRT: This role sits at the intersection of data engineering and infrastructure engineering, focused on architecting reliable, scalable, and high-performance data platforms. You will bring an independent and critical perspective, identifying weaknesses in the existing stack, challenging current design decisions, and helping drive the technical roadmap. Your responsibilities will include: Owning the architecture, reliability, and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.) Evaluating the existing infrastructure, identifying architectural gaps, and driving improvements Designing and operating database clusters on Kubernetes (via operators) at scale Setting standards and best practices for data pipelines (ingestion, transformation, replication) Driving and maturing Infrastructure-as-Code practices (Terraform, Helm) Operating and evolving storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS) Establishing standards for Docker images and CI/CD workflows for data services Defining and maintaining AWS IAM policies, permissions, and security best practices Leading complex troubleshooting across the stack (databases, OS, storage, networking) Defining and improving observability practices (metrics, alerting, capacity planning) Mentoring engineers and collaborating with engineering, data, and research teams to influence technical decisions Your present skillset: 8+ years in DevOps, Data Platform Engineering, or similar, with experience owning production infrastructure at scale Deep production experience with distributed data systems (e.g. ClickHouse, Trino, EMR), including performance tuning and architectural decision-making Expert-level Kubernetes experience (stateful workloads, Helm, operators), ideally at significant scale Extensive Infrastructure-as-Code experience (Terraform, Helm, etc.), including defining standards and reusable patterns Strong knowledge of the AWS data ecosystem (S3, EKS, EMR, MSK, RDS) Deep understanding of AWS IAM and security best practices Hands-on experience with Docker and CI/CD pipelines Solid experience designing and operating data pipelines (Kafka, Spark, Airflow, etc.) Strong Linux fundamentals and scripting (Python and/or Bash) Deep understanding of database reliability (replication, backups, failover) Demonstrated ability to independently assess complex systems, challenge existing designs, and drive technical improvements Strong communication skills, with the ability to influence stakeholders and mentor other engineers Nice to have: OLAP / high-throughput systems experience at scale Experience with VAST Data or similar storage systems Familiarity with Iceberg, Delta Lake or Hudi Observability tools (Prometheus, Grafana, OpenTelemetry) GitOps tools (ArgoCD, Flux) CKA/CKAD or equivalent deep Kubernetes expertise Programming in Go, Rust, or Python Knowledge of Parquet/Arrow and query engines AWS certifications Prior experience in a technical lead or staff-level role QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. You will join the Network Engineering function responsible for the design, reliability, and optimisation of QRT’s wide-area network. The team supports large-scale routing infrastructure and collaborates closely with stakeholders across operations, systems engineering, and automation to ensure robust connectivity for global research and trading activities. Your Future Role within QRT Operate, troubleshoot, and enhance large-scale WAN environments to ensure availability and performance. Design, implement, and support MPLS-based solutions Configure and maintain routing services across multiple BGP address families. Design, implement, and troubleshoot multicast services using technologies such as MVPN. Analyse and validate MPLS label operations and end-to-end forwarding behaviour. Support TCP/IP-based services and traffic flows across a multi-site network footprint. Produce and maintain accurate technical documentation, including design artefacts and operational procedures. Collaborate with engineering and operations stakeholders to progress projects and BAU activities. Act as an escalation point for complex network issues requiring deep technical investigation. Your Present Skillset Strong operational experience with MPLS environments. Deep knowledge of: BGP (including EVPN, VPNv4, IPv4) MPLS forwarding and label distribution Multicast and MVPN Proficiency with at least one major routing platform (e.g., Arista, Cisco). Proven ability to troubleshoot complex MPLS, routing, and forwarding behaviour. Strong understanding of TCP/IP networking, QoS, routing protocols, and traffic engineering concepts. Experience working in environments with strict availability and reliability requirements. Useful additional experience includes: Network automation (e.g., Python) Model-driven networking CI/CD concepts applied to network configuration Telemetry and streaming-based monitoring approaches QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The Network Infrastructure team designs, builds, and supports the networking environment that underpins QRT’s global technology platforms. The team ensures secure, scalable, and resilient connectivity across all regions and collaborates closely with Infrastructure, Security, and Engineering groups. Your Future Role within QRT You will take ownership of the Network Infrastructure team’s documentation and process library within Confluence. The role combines technical writing, content governance, and process analysis to ensure clarity, consistency, and continuous improvement in how information and workflows are structured. Review and assess existing Confluence documentation to identify outdated, duplicated, or unclear content Redesign and maintain a logical structure for the Confluence space Develop and apply documentation templates, naming conventions, and style standards Rewrite and consolidate content to ensure technical accuracy and consistency Define documentation ownership and review cycles Create supporting visual materials such as diagrams and flowcharts Work with Engineers and Project Managers to capture and document operational and delivery processes Identify inefficiencies and improvement opportunities within current workflows Contribute to the design and rollout of future-state processes Maintain process documentation to reflect changes in ways of working Your Present Skillset Proven experience as a Technical Author, Technical Writer, or in a documentation-focused role Experience documenting and improving technical or operational delivery processes Strong proficiency with Confluence, including content governance and structure management Ability to understand and communicate networking concepts clearly Experience collaborating with technical stakeholders to capture and translate information accurately Excellent written communication and attention to detail Experience leading or coordinating cross-team documentation or process initiatives Desirable/nice to have: Familiarity with Lean, Six Sigma, or continuous improvement methods Working knowledge of networking concepts (BGP, routing, firewalls, site connectivity) Exposure to workflow automation tools (e.g. Tines, n8n, Zapier) QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. The global infrastructure team ensures the stability, performance, and optimisation of QRT’s technology environment. The team collaborates with engineers, business stakeholders, and end users to troubleshoot issues, improve monitoring and instrumentation, and deliver solutions that support latency-sensitive trading platforms. Your Future Role within QRT Administer and support QRT’s instrumentation estate, primarily based on Corvil technology Analyse network and application latency, supporting troubleshooting efforts across trading platforms Investigate and resolve performance and platform issues, ensuring systems remain up to date and secure Contribute to BAU tasks, maintenance activities, and new project delivery Collaborate with colleagues and stakeholders to enhance processes and improve monitoring and instrumentation Your Present Skillset SME level knowledge of Corvil from a user and administrator perspective CCE / CPME qualification (advantageous) Automation experience (advantageous) Multiple years of experience of using and supporting Corvil in the financial space with a broad understanding of electronic trading Understanding of tap aggregation and time-stamping techniques Ability to contribute to troubleshooting efforts and latency analysis Effective collaborator who thrives in a team environment and enjoys knowledge sharing Strong documentation skills, ensuring systems and processes are clearly recorded and maintained Comfortable working in a fast-paced environment Base salary range for this position is $150,000 to $250,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: Tel Aviv Workplace: OnSite THE ROLE As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world. You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it. You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results. This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification. WHAT YOU’LL DO - Embed with customers to understand their workflows, constraints, and measures of success. - Turn loosely defined operational problems into clear technical plans and production systems. - Design and build AI agents that integrate with customer tools, data, and business processes. - Own deployments from prototype through launch, monitoring, and continuous improvement. - Test with real-world data, measure business outcomes, and iterate based on evidence. - Make pragmatic tradeoffs across architecture, reliability, speed, and user experience. - Partner closely with Wonderful’s Product and Engineering teams to improve the core platform. - Turn lessons from individual deployments into reusable tools, patterns, and best practices. WHAT WE’RE LOOKING FOR - 5+ years of experience building software or solving complex technical problems. - Strong foundations in software architecture, system design, and production engineering. - Experience working across APIs, integrations, data flows, and distributed systems. - The ability to bring structure and momentum to ambiguous problems. - Confidence working directly with customers, from operational teams to technical stakeholders. - Clear communication, sound judgment, and a strong sense of ownership. - Genuine curiosity about applied AI and its potential to transform how businesses operate. NICE TO HAVE - Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role. - Experience building AI agents, workflow automation, or conversational systems. - Familiarity with LLM evaluation, observability, and reliability in production. - Experience deploying and improving systems in complex enterprise environments. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. As part of our Research Platforms team, you will design and build the distributed systems that enable large-scale computational workloads to run efficiently, securely, and reliably across our global research infrastructure. This role sits at the intersection of distributed systems, platform engineering, and high-performance computing. You will work on the foundational services researchers depend on every day, including workload orchestration, scheduling, security, observability, and platform tooling. What You'll Do Design, build, and operate distributed services that manage compute workloads and data access across large-scale infrastructure Develop platform APIs and tooling that improve the productivity of quantitative researchers Improve the reliability, scalability, and performance of compute-intensive research workflows Build solutions for scheduling, resource management, observability, and security Partner closely with researchers and infrastructure teams to translate complex requirements into scalable platform capabilities Take ownership of systems end-to-end, from design and implementation through production operation What We're Looking For Required BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience 5+ years of experience building and operating large-scale distributed systems in production Strong proficiency in C++, Java, Rust, Go, or similar systems languages Strong understanding of distributed systems, concurrency, performance, reliability, and fault tolerance Experience designing services, platforms, or infrastructure used by other engineers Preferred Experience with internal developer platforms, cloud infrastructure, orchestration systems, or HPC environments Familiarity with GPU-accelerated workloads and modern ML frameworks such as PyTorch or TensorFlow Experience supporting researchers, data scientists, or other highly technical users Exposure to quantitative finance or large-scale data-intensive environments Why Join QRT? Solve challenging distributed systems and infrastructure problems at scale Build platforms that directly accelerate research and innovation Work closely with world-class quantitative researchers and engineers Take ownership of critical systems in an environment that values technical excellence, autonomy, and impact QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Bulgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are seeking a Customer Success Specialist, Level 3 to own Xometry’s largest and most complex deals, strategic customer relationships, and highest-tier escalations that carry meaningful commercial, reputational, or operational risk. This role requires strong commercial judgment, negotiation skill, and the ability to manage multi-stakeholder, multi-order situations end-to-end. You will work closely with Sales, Key Account Management, Manufacturing, Finance/Legal, and senior stakeholders to protect and grow strategic accounts while resolving issues fairly and efficiently. How You’ll Contribute: Strategic Account & Case Management: Own end-to-end resolution of complex, high-value, and multi-order customer cases escalated from Level 2 or referred directly by Sales/Key Account Management Manage relationships with strategic and top-tier accounts, acting as a trusted point of contact for critical issues Investigate root cause across Manufacturing, Quality, Logistics, and Finance/Legal before proposing commercially sound resolutions Negotiate resolutions involving credits, contractual concessions, or commercial commitments within delegated authority, and escalate to the Team Leader when outside authority Manage a portfolio of complex, high-stakes cases while balancing commercial outcomes and customer satisfaction Commercial & Cross-Functional Collaboration: Partner closely with Sales and Key Account Management on account health, renewal risk, and expansion opportunities tied to service issues Coordinate with Finance/Legal on contractual terms, credit exposure, and risk considerations for large accounts Represent Customer Success in cross-functional reviews of strategic accounts and major incidents Quality & Continuous Improvement: Document complex case resolutions thoroughly to support audits, governance, and knowledge sharing Identify systemic risks or recurring issues affecting strategic accounts and propose process or policy improvements Mentor Level 2 Specialists on commercial judgment and complex case handling What You’ll Bring to Xometry: Experience: 4+ years in customer success, customer support, key account management, or a commercial role, including direct ownership of large or complex accounts Negotiation: Demonstrated experience negotiating commercial terms or high-value resolutions with customers or stakeholders Industry Background: Manufacturing, e-commerce, or B2B experience is a strong plus Commercial Acumen: Strong negotiation skills and comfort discussing pricing, contracts, and risk Communication: Excellent written and verbal communication in English, including with senior stakeholders; additional European language is a plus Judgment: Sound judgment managing ambiguous, high-stakes situations with multiple stakeholders Technical Fluency: Comfortable working with CRM/helpdesk platforms, contract/order systems, and reporting tools Interpersonal Skills: Composed and diplomatic under pressure, with strong relationship-management and cross-functional collaboration skills Education: Bachelor’s degree required; commercial, business, or technical/engineering background is an advantage #LI-Hybrid #Promoted Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.