Вакансии

Location: Costa Mesa, United States WHAT YOU’LL DO: Utilize first principle methods and design tools to develop new aircraft products Own development of primary and secondary aircraft structural parts and assemblies (metallic and composite) from preliminary design through prototype manufacturing Perform complex modeling and finite element analysis at the detailed component level, major assembly level, and aircraft level (analysis simulations to include strength, buckling, damage tolerance, and delamination) Apply design for manufacturing concepts to create solutions that are cost effective and easy to manufacture at rate Conduct trade studies and perform design and analysis research of complex engineering concepts to determine an optimal solution for weight, performance, manufacturability, cost, and/or schedule Collaborate in a multidisciplinary environment to solve complex, open-ended problems with an emphasis on schedule and cost objectives Coordinate work with mechanical systems, systems integration, aerodynamics, manufacturing, project engineering, and other team members Onsite engineering support at manufacturing and integration sites REQUIRED QUALIFICATIONS B.S. in Aerospace Engineering or Mechanical Engineering, or equivalent experience 5+ years of experience in aerospace or related industry Strong technical knowledge in core engineering principles, fundamental mechanics of composite materials, design, analysis, testing, and fabrication Deep understanding of load paths, design practices, and hand calculations to design robust structurally efficient assemblies Proven ability to design high performance structures and execute their fabrication Self-directed, results oriented, and capable of working in a dynamic environment Excellent time management, organizational, and communication skills Ability to obtain and maintain US DoD Secret Clearance or higher PREFERRED QUALIFICATIONS Experience with clean sheet aircraft configuration Siemens NX proficiency Experience with fast paced prototype design and manufacture of uncrewed aircraft Experience with high temperature materials selection Broad experience across a range of aircraft programs Hands-on experience with manufacturing Practical aircraft knowledge (pilots license, A&P, etc.)

Location: Costa Mesa, United States WHAT YOU’LL DO: Utilize first principle methods and design tools to develop new aircraft products Own development of primary and secondary aircraft structural parts and assemblies (metallic and composite) from preliminary design through prototype manufacturing Perform complex modeling and finite element analysis at the detailed component level, major assembly level, and aircraft level (analysis simulations to include strength, buckling, damage tolerance, and delamination) Apply design for manufacturing concepts to create solutions that are cost effective and easy to manufacture at rate Conduct trade studies and perform design and analysis research of complex engineering concepts to determine an optimal solution for weight, performance, manufacturability, cost, and/or schedule Collaborate in a multidisciplinary environment to solve complex, open-ended problems with an emphasis on schedule and cost objectives Coordinate work with mechanical systems, systems integration, aerodynamics, manufacturing, project engineering, and other team members Onsite engineering support at manufacturing and integration sites REQUIRED QUALIFICATIONS B.S. in Aerospace Engineering or Mechanical Engineering, or equivalent experience 5+ years of experience in aerospace or related industry Strong technical knowledge in core engineering principles, fundamental mechanics of composite materials, design, analysis, testing, and fabrication Deep understanding of load paths, design practices, and hand calculations to design robust structurally efficient assemblies Proven ability to design high performance structures and execute their fabrication Self-directed, results oriented, and capable of working in a dynamic environment Excellent time management, organizational, and communication skills Ability to obtain and maintain US DoD Secret Clearance or higher PREFERRED QUALIFICATIONS Experience with clean sheet aircraft configuration Experience with high temperature materials Experience with thermal gradient structural analysis Siemens NX proficiency Experience with fast paced prototype design and manufacture of uncrewed aircraft Experience with high temperature materials selection Prior experience working in high speed programs Hands-on experience with manufacturing Practical aircraft knowledge (pilots license, A&P, etc.)

Location: San Francisco, CA | New York City, NY 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 Anthropic's Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly. This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace. Responsibilities Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase Help set technical standards and best practices for the team, and mentor other engineers Minimum Qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Strong software engineering fundamentals and hands-on coding ability Experience making architectural decisions that other engineers and teams build on top of Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders Demonstrated ability to operate effectively in ambiguous, fast-changing environments Strong candidates may also have Experience building infrastructure or platforms specifically for research or machine learning workflows Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems Experience with distributed systems, cloud infrastructure, and infrastructure-as-code Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy Prior experience as a technical lead or mentor for other engineers 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: $405,000 — $625,000 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: Remote - Europe 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. Detection and Response The Detection and Response team is responsible for detection engineering, threat intelligence, and incident response across Nebius Cloud. Its goal is to improve and maintain Nebius's security monitoring capabilities, as well as to build and maintain an end-to-end Security Incident Response program - people, processes, and tools. The Role We're hiring a Detection & Response Engineer to build and run our D&R capability from the ground up. You'll work on detection engineering, threat intelligence, and incident response functions across Nebius Cloud. You'll be responsible for detection development, handling complex security incidents, forensics, and shaping the D&R strategy. What you’ll do Detection development: maintain low false-positive and false-negative rates. Work closely with alerts consumers (20+ teams) to keep noise low and signal high, ensuring they can act quickly without missing genuine threats. Architect and operate detection coverage across our cloud and bare-metal environments Build and extend our internal D&R tools and pipelines - onboard new logs, build and automate response runbooks. Integrate threat intelligence into detection logic and IR playbooks, tracking adversary TTPs relevant to Cloud infrastructure Lead incident response end-to-end: scoping, containment, root cause analysis, post-incident reviews and controlling critical action items are closed to prevent future possible incidents. Partner with Compliance and Engineering teams to detect real threats while meeting the needs of both engineers and regulators. Define and report on D&R metrics: MTTD, MTTR, detection coverage, false positive rates, etc. Build and maintain Security Incident Response program: people, processes, tools. Build tools, runbooks, and on-call processes that scale as the company grows. What we look for 6+ years in security operations, detection engineering, or incident response. Deep hands-on experience with cloud-native environments (Kubernetes, Linux workloads, container-based infrastructure). Strong detection engineering skills: writing and tuning rules/detections in SIEM platforms (e.g., Chronicle, Splunk, Elastic) and SQL. Experience building or operating SOAR workflows and automating response at scale (ideally with Golang and Temporal). Working knowledge of threat intelligence frameworks (MITRE ATT&CK, Pyramid of Pain, Kill Chain ) and how to operationalize them in detections. Solid IR fundamentals: memory forensics, log analysis, network traffic analysis, and post-incident reporting. Stakeholder management: able to coordinate across engineers, compliance, legal, executives during active incident phase. Serve as the primary owner and driver for complex changes, as a result of incidents post-mortem. Nice to have Experience with AI/ML and GPU clusters related threats. Familiarity with eBPF-based detection or runtime security tooling (Falco, Tetragon). Background in threat hunting. Why this role at Nebius Build D&R at a company scaling from startup to global infrastructure provider in real time. Ability to evolve our internal D&R platform into a new cloud security product, delivering novel security observability for a range of neocloud customers - from big tech to AI startups. Work alongside world-class engineers on infrastructure that powers frontier AI. Competitive compensation with equity upside in a Nasdaq-listed, high-growth company. Flexible, remote-first culture. Hiring Process Recruiter's chat (30mins) Live-coding interview (60mins) to asses basic coding skills Security interview (60mins) to asses domain expertise Incident Response interview (90mins) to assess practical experience Final interview to close the hiring process (45mins) #LI-CP1 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 WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 5 years of writing production-quality code in C++ on Linux platform Good understanding of Python language with development experience Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Remote Workplace: Remote ABOUT US Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. We're a passionate team who love solving problems and want to make our customers' and coworkers' lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things. Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today. ABOUT THE TEAM The Experiments team at Constructor builds an experimentation platform: traffic allocation, exposure logging, metric computation, statistical analysis, and a UI for launching experiments and interpreting results. It’s used both internally and by customers running experiments on production traffic. We’re scaling customer experimentation usage and investing in making experiments faster, more reliable, and easier to interpret. Unlike boxed experimentation tools, our platform has to support a wide range of customer integrations, traffic patterns, and industry constraints — which makes the engineering problems unusually real-world and high-leverage. Team: 3 Software Engineers, 1 Data Analyst, an Engineering Manager, and a Product Manager. THE ROLE This is primarily a backend role (Python services + data-heavy systems). You’ll occasionally work in the Dash UI and contribute to Spark jobs, but those are not the main focus. We care about correctness, observability, and product usability more than complex infrastructure. Tech: Python, FastAPI, PostgreSQL, Plotly Dash, PySpark/Databricks, AWS, CloudWatch, Sentry (Spark work is ~5–10% — we don’t expect you to be a data engineer or own the data platform.) WHAT YOU’LL DO - Build and maintain backend services for experiment assignment, logging, and report generation - Improve scalability, performance, and reliability of experiment reporting pipelines - Add product-facing features to the UI to help users launch experiments and interpret results - Take technical ownership of projects: shape solutions, break down work, and drive execution with the team - Participate in a weekly on-call rotation (investigating occasional issues and answering internal questions) You’ll collaborate closely with Search/Recommendations engineers, ML/DS partners, and customer-facing teams when needed. This role does not require frequent direct customer calls. REQUIREMENTS MUST-HAVE - Strong experience building and owning production backend services in Python - Experience with monitoring, alerting, and debugging user-facing systems - Strong SQL skills and confidence working with data-heavy systems (metrics, logging, analytics) - Ability to ship maintainable software (tests, code review, incremental delivery) MINDSET - You take ownership: you can turn ambiguous problems into an executable technical plan - You care about building systems people trust and rely on NICE-TO-HAVE - Experience with experimentation systems, metrics platforms, or A/B testing workflows - Experience with PySpark and/or Databricks - We don’t expect you to already be an expert in experimentation methodology — but we do expect strong backend fundamentals and the ability to ramp up effectively in a data-heavy domain LOCATION / TIME ZONES - We’re a distributed team. Preferred time zones are UTC+1 to UTC+7, but we’re flexible BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend - we want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget - refreshed each year for every employee - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 Base salary: $80k–$110k USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options - offered in addition to the base salary - 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity As a Technical Expert, you will lead the development of the company’s core security engineering and DevSecOps capabilities, with a strong focus on security product development, platform engineering, and SDK /Agent development . The ideal candidate should demonstrate deep security expertise, broad technical coverage, strong hands-on engineering capability, and exceptional influence in driving security governance across business teams . What You’ll Be Doing Lead the architecture and core development of the company’s end-to-end DevSecOps platform, security products, and SDKs/Agents , covering code, build, artifacts, images, deployment, and runtime security. Own the design and development of RASP / Java Agent runtime protection , leveraging ASM, ByteBuddy, and Java Instrumentation for bytecode enhancement, runtime hooks, detection and blocking engines, while continuously improving performance, stability, and compatibility. Build and integrate SAST, DAST, IAST, SCA, code security scanning, and image security scanning into CI/CD workflows, and drive deep integration of tools such as SonarQube and Coverity to form a closed loop of scanning, gating, remediation, and re-validation. Drive core application security protection and offensive/defensive capabilities across scenarios such as XSS, SQL injection, SSRF, deserialization, command execution, authentication/authorization flaws, privilege escalation, and API security . Advance AI-Native Security Engineering by applying LLMs and AI Agents to vulnerability analysis, rule generation, false-positive reduction, remediation suggestions, security knowledge management, and workflow automation, while building deep understanding of their architecture, principles, and security implications. Partner closely with business engineering teams to drive security standards, integration rules, quality gates, risk classification, remediation workflows, and overall security governance adoption. Collaborate with engineering, architecture, operations, QA, and business stakeholders to solve complex security problems and turn them into scalable product capabilities, engineering solutions, and governance mechanisms. What We Look For In You Strong fundamentals in computer science and security, with deep understanding of operating systems, networking, compilers/ JVM internals, distributed systems, application security, cloud-native security, and software supply chain security , with both breadth and depth in security technologies. Expert-level Java proficiency , especially in JVM internals, ClassLoader , Java Agent, ASM, ByteBuddy, bytecode instrumentation, profiling, and performance tuning ; proficient in Python or Golang as well. Proven hands-on experience with RASP, SAST, DAST, IAST, SCA, image security, and code security scanning , with the ability to independently design, integrate, and productionize security capabilities. Strong offensive and defensive security experience , with deep understanding of vulnerability root causes, exploitation techniques, detection logic, bypass methods, and remediation strategies in web, API, and microservice environments. Strong practical experience with LLMs and AI Agents , plus deep understanding of model architecture, agent design, tool invocation, context engineering, evaluation methods, and the impact of AI on both security engineering and attacker capabilities. Strong engineering and product mindset, capable of leading the design and implementation of security products, platform modules, and SDKs/Agents while balancing security effectiveness, performance overhead, integration cost, and operability . Strong ownership, communication skills, and cross-functional influence, with a proven ability to drive business teams on security governance, policy adoption, and remediation outcomes. Preferred Qualifications Background from top-tier Internet companies, cloud providers, or leading cybersecurity vendors ; Experience leading DevSecOps platforms, application security platforms, RASP systems, code scanning platforms, or cloud-native security platforms ; Strong experience in security product development, SDK /Agent development, vulnerability research, penetration testing, red/blue team exercises, or incident response ; Hands-on experience in AI + Security initiatives such as security copilots, intelligent rule generation, automated vulnerability analysis, or remediation recommendation systems. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity As a Technical Expert, you will own the core build-out of the company's R&D Efficiency Platform, proactively identifying and eliminating risks across the delivery pipeline through CI/CD, DevSecOps, Change Management, and AI-Native upgrades—reducing delivery cost while improving quality and efficiency via platformization and automation. What You’ll Be Doing Build core capabilities of the R&D Efficiency Platform and onboard business systems to improve overall engineering efficiency and delivery quality; Design and optimize CI/CD pipelines (GitLab, Pipeline, ArgoCD), driving standardization, automation, and observability; Drive the AI-Native evolution of CI/CD , introducing AI Agent / LLM for intelligent code review, pipeline self-healing, smart test orchestration, and change-risk prediction; Build DevSecOps capabilities , embedding Shift-Left Security across the lifecycle with SAST, DAST, SCA, image/secret scanning, and security gates to ensure supply-chain security; Establish standardized Change Management , covering requests, risk assessment, approvals (CAB), canary releases, rollback, and change traceability; Apply Kubernetes, microservice governance (Nacos, Apollo, Kong), and Aliyun / AWS cloud services to ensure platform stability and scalability. What We Look For In You Solid Computer Science fundamentals (OS, networking, distributed systems, data structures & algorithms); Proficient in DevOps toolchains , CI/CD, Kubernetes, and microservice stacks; Familiar with DevSecOps concepts and security toolchains, understanding supply-chain security and compliance; Knowledge of AI / LLM in engineering-efficiency and CI/CD scenarios, with an AI-Native engineering mindset; Familiar with the Java stack, with broad awareness of multi-language and business-side technologies; Strong product sense, ownership, and ability to work under pressure; Fluent English communication for efficient cross-regional collaboration. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Paris; Amsterdam; Munich; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE TEAM The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. Our SRE team works transversally across customer engagements, enabling value creation through Mistral tech - at scale. By joining the team you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. ABOUT THE JOB You will be one of the founding engineers of the Applied AI SRE sub-team. Your mission, alongside the team, is to build and operate the framework to ensure Mistral’s solution delivery is reliable and sustainable - and applied uniformly across all our accounts, both Mistral-hosted and customer-hosted. You should already have a strong understanding of what operational excellence looks like, and you’re ready to scale your impact. You will operate in four concurrent modes: - BUILD - Design for a fleet of Mistral platforms and apps. Build proactivity to reduce reactivity. Productize reliability, author runbooks, create SLO templates, implement observability. - RUN - Operate the Tier-1 customer environments that Mistral are contracted to operate. Ensure SLO compliance, own on-call and incident response, manage drift, partner with Technical Support as L3 escalation, champion high signal post-mortems. - ENABLE - Productize how Mistral deploy, secure, and scale our Applied AI solutions. Engineer on-demand provisioning, author security baseline packages, embed security guardrails, automate everything. - SECURE - Own the security operations layer for our customer-side deployments. Lead CVE response across the fleet, ship supply-chain integrity controls (SBOM, signed images, provenance), co-page with InfoSec on security incidents, enforce secure-config baselines. This is a framework-first, fleet management role at heart. If you're excited by the difference between solving one customer's problem and structurally solving the class of problem for every customer, this is the role. HOW WE WORK IN APPLIED AI • We care about people and outputs. • What matters is what you ship, not the time you spend on it • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. • Always ask why. The best solutions come from deep understanding, not from copying what worked before • We say what we mean. Feedback is direct, timely, and given because we care. • No politics. Low ego, high standards. • We embrace an unstructured environment and find joy in it. ABOUT YOU • Fluent in English. • 5+ years in SRE, Production Engineering, or DevOps, with a record of shipping tooling. • Strong multi-tenant Kubernetes fluency, namespace segmentation, network policy, RBAC, admission control, operations at scale. • On-call discipline: incident response, blameless post-mortem culture, runbook-first mindset. • Observability stack in production: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Signoz. • Infrastructure as code: Terraform, Ansible (or close equivalents). • Proficient in Python and/or Golang for tooling and automation. • Security mindset: you treat secure-SDLC, CVE response, and supply-chain integrity as reliability properties of the shipped artifact, not as someone else's job. • Strong written communication skills: runbooks, post-mortems, and customer-facing incident comms are core deliverables of this role. • Comfortable operating with high autonomy in an ambiguous, fast-paced environment — and disciplined enough to defend the team's scope when work tries to spill in. • Solid Linux internals, networking debug, and distributed-systems fundamentals. STRONG PLUS • Cloud or application security background (AppSec, K8s security, supply chain — SBOM, cosign, SLSA). At least one of our early hires must bring this; if it's you, flag it. • Experience operating LLM / model-serving stacks in production • Experience with multi-cloud or on-prem hybrid customer environments (AWS, GCP, Azure, sovereign clouds). • Open-source contributions, particularly in SRE, observability, or security tooling.     By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Canada; Calgary; Winnipeg; Vancouver; Halifax; Edmonton; Ottawa; Toronto; Victoria; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role will focus on evaluating data science and coding tasks, requiring you to review and debug code, analyze model trajectories, and assess data visualization script development and logical flow implementation. Your work will contribute to our model development efforts and the logic our models apply when completing task requests. Please note: This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. As a Data Annotation Specialist, you will: - Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools. - Assess agent trajectories and model capabilities for code generation, tabular and graphic manipulation, and debugging requests. - Prompt models to complete complex data science tasks and review the accuracy of generated responses. - Label, proofread, and improve machine-written and human-written software engineering-related outputs. - Report quality and performance trends related to model/agent behaviour and project assignments. You may be a good fit if you have: - Exceptional data analysis and visualization skills. - 3+ years of relevant industry experience working on real-world data science problems and pipelines. - Proficient knowledge and understanding of Python and industry-standard data science packages (numpy, pandas, matplotlib, sqlite, or others). - Strong understanding of SQL syntax writing and workflows; and a deep familiarity with file/data formats, such as markdown, JSON, XML, YAML, and HTML. - Prior experience re-writing, proofreading, and delivering feedback on code. - Familiarity with code agents (OpenCode, Claude Code, Codex) or evaluating agent trajectories is a plus. The Candidate Journey: - Initial Screening: Our Talent Team will review your application. - First Assessment: If selected to move forward, you’ll receive a multiple-choice assessment by email. - Second Assessment: Candidates who achieve a passing score will be contacted by a member of our team to complete a more comprehensive assessment focused on their area of expertise. - Video Screen: If selected to move forward, you’ll have a short video call with a member of our Operations Team. - Final: Selected candidates will receive an Independent Contractor Agreement. As an independent contractor, you maintain control over how you complete your work and may work with multiple clients simultaneously. We request that you declare any external work relationships with Cohere’s direct competitors and always maintain the IP confidentiality of the Cohere project. Independent contractors are not eligible for health benefits or other benefits provided to employees. Compensation for services is provided to contractors by self-invoicing for services provided pursuant to the terms of our agreement with the contractor. It is important to understand that, as an independent contractor, continuous work is not guaranteed. The client-contractor relationship is fundamentally project-based, meaning engagements may be temporary, periodic, or intermittent based on our organizational needs and project availability. As an independent contractor, you should anticipate fluctuations in workflow and, therefore, compensation for services when Cohere does not require as many hours of services in a week. Prospective candidates, please be advised: this role involves working with human-generated and model-generated tasks that may involve exposure to not safe for work (NSFW) text content as part of data annotation tasks, including explicit, offensive, or other inappropriate material. If the above qualifications do not perfectly align with your experience, we still encourage you to apply! We value and celebrate diversity and 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, and we will work together to meet your needs.

Location: London, United Kingdom About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking a visionary Regional Chief Strategic Architect to serve as Workato's technical authority and strategic advisor to our most critical prospects, customers, and the broader market within their assigned region. The Chief Strategic Architect operates at the nexus of technical credibility, executive influence, and market thought leadership, acting as the external-facing voice of Workato's innovation and technical vision. This is not a sales role. It is a strategic, hybrid operator-advisor-influencer position. Chief Strategic Architects act as extensions of the executive team in the field, elevating conversations with senior leaders and positioning Workato as the essential platform for enterprise integration, AI orchestration, and intelligent automation. This role is accountable for building technical trust across the customer lifecycle - from initial engagement through strategic expansion - while simultaneously shaping how the market understands enterprise integration, AI orchestration, and intelligent automation. The Chief Strategic Architect influences deal outcomes, product direction, and industry perception, ensuring Workato is recognized as the definitive leader in Enterprise Orchestration. First 90 Days Learn & Align (Days 0-30) Deep immersion into Workato's AI vision, product roadmap, and GTM strategy Shadow at least 10 executive customer conversations Develop initial point of view for engagement with CIO/CTO/CDO personas Engage & Formulate (Days 30-60) Lead first strategic engagements with enterprise accounts Co-develop executive playbooks with Sales and Product teams Establish feedback loops with Product and Engineering teams Influence & Scale (Days 60-90) Cultivate trusted relationships with C-level executives in 5+ strategic accounts Co-create first AI-driven integration use cases with customers Establish thought leadership presence through content and speaking opportunities Technical Trust & Executive Relationships Engage directly with C-level executives (CIOs, CTOs, Chief Data Officers, Chief AI Officers) at enterprise accounts to shape integration strategies that solve complex business challenges Serve as trusted technical advisor throughout the customer lifecycle - from initial engagement through expansion - providing strategic guidance rooted in real-world operator experience Build lasting peer-to-peer relationships that position you as the go-to expert on enterprise integration, AI orchestration, and automation at scale Act as technical closer in competitive deals, articulating why Workato's architecture differentiates us from competitors like MuleSoft and Boomi Influence enterprise architecture decisions and multi-year technology strategies at the executive level AI, Agentic Automation & Enterprise MCP Strategy Shape and guide customers' AI and agentic automation journeys, leveraging Workato's AI capabilities and ecosystem Advise on the design and adoption of agent-based workflows, human-in-the-loop models, and decision automation frameworks Partner with customer executives to define enterprise MCP (Model Context Protocol) strategies including context management, secure AI orchestration, and governance Translate emerging AI capabilities into practical, scalable enterprise use cases that drive measurable business outcomes Position Workato as the integration and orchestration backbone for enterprise AI transformation Domain Expertise & Thought Leadership Establish yourself as the recognized authority across iPaaS, API Management (APIM), data orchestration, EDI, and AI/Agentic automation Lead "Art of the Possible" workshops that fundamentally shift how customers think about enterprise integration and intelligent automation Represent Workato at industry conferences, customer advisory boards, analyst briefings, and partner events Create high-impact thought leadership content: blogs, white papers, webinars, reference architectures, and technical videos Shape industry narratives and best practices that establish Workato as the category leader Deal Acceleration & Commercial Impact Accelerate deal velocity through technical validation, competitive differentiation, and executive trust-building Identify and shape strategic expansion opportunities by uncovering automation, integration, and AI-driven transformation initiatives Partner with Account Executives and Sales Leadership on account strategy, competitive positioning, and C-level engagement tactics Articulate compelling ROI narratives and business case frameworks that accelerate buying decisions Demonstrate measurable impact on win rates, deal size, and sales cycle length in strategic opportunities Strategic Advisory & Technical Leadership Lead high-impact customer engagements requiring executive-level judgment, architectural vision, and industry expertise Guide prospects and customers through Enterprise Orchestration vision and roadmap development Develop prioritization frameworks for integration, automation, and AI use cases Lead technology evaluation and vendor selection processes with enterprise customers Design governance, scalability, and enterprise operating models for automation initiatives Product Influence & Market Intelligence Act as the voice of the customer to Product and Engineering teams, channeling field insights into actionable roadmap input Identify capability gaps, competitive threats, and market opportunities based on executive-level customer conversations Develop and refine competitive positioning, objection handling, and differentiation strategies Define reusable patterns, reference architectures, and technical frameworks that accelerate customer success Influence industry analysts and thought leaders to strengthen Workato's market position Internal Enablement & Team Development Educate and enable Sales Engineers, Account Executives, and Customer Success teams on complex technical capabilities and emerging trends Develop strategic frameworks, competitive positioning, and executive engagement playbooks for enterprise accounts Mentor technical team members, helping them develop deeper domain expertise and executive engagement skills Create scalable technical enablement content and programs that amplify your expertise across the field organization Drive customer reference creation and participation in case studies, speaking opportunities, and advisory boards Requirements Qualifications / Experience / Technical Skills Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience) 20+ years of technology transformation experience, including integration, middleware, or API management platforms 15+ years in an Enterprise Architect, CTO, VP Engineering, or similar senior architecture/leadership role Demonstrated experience advising C-level executives on technology strategy and enterprise transformation Strong understanding of enterprise security, governance, and operating models Proven track record of driving platform expansion and value realization in enterprise accounts Excellent executive communication skills, including board-level presentations and strategic documentation Ability to operate independently in complex, ambiguous environments and take ownership of outcomes Travel to client sites up to 50%, with flexibility based on regional needs Soft Skills / Personal Characteristics Master's degree in Computer Science, Software Engineering, Business, or related field Deep knowledge of key enterprise applications: Salesforce, NetSuite, Workday, ServiceNow, SAP, Oracle Experience with cloud platforms: AWS, Azure, and GCP Hands-on experience with AI/ML platforms and agentic automation frameworks Experience in a high-growth startup or scale-up environment Established personal brand and thought leadership presence in the integration/automation space Measures of Success Long-term success for this leader will be measured by their ability to: Embed Workato at the heart of technology strategy conversations across the region's most influential enterprises Cultivate sustained engagement with senior technology and engineering leaders ensuring Workato becomes synonymous with Enterprise Orchestration and AI orchestration Create a robust pipeline of seven-figure opportunities tied to transformation initiatives Reframe Workato in the minds of decision-makers and analysts as the essential platform for AI-enabled enterprise integration Leave behind scalable playbooks and repeatable narratives that enable go-to-market teams to engage enterprise audiences with authority and credibility. Job Req ID: 2646

Location: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 7 years of writing production-quality code in C++ on Linux platform Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Python development experience is also a plus Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-SN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: On-site in London (Visa sponsorship and relocation available). Company: Seamflow is a venture-backed startup building systems to accelerate manual processes in physical industries like aerospace, healthcare, and energy. What you will do: — Design and build end-to-end mobile workflows from UI to local state and sync logic. — Work directly with customers in the field to understand and translate real-world processes into software. — Integrate AI-powered features, including LLMs and model-backed APIs, into mobile workflows. — Develop and maintain production-grade cross-platform apps for iOS and Android. — Own the entire product cycle from customer calls and spec writing to deployment. Requirements: — Strong experience with TypeScript and React Native. — Proficiency in native mobile fundamentals (Swift/Kotlin) for modules like sensors and background tasks. — Experience shipping and maintaining apps via App Store and Google Play. — Ability to design for unreliable connectivity, including offline persistence and conflict resolution. — Experience integrating AI systems (LLMs, agents) into production products. — Must be based in or be able to relocate to London. Nice to have: — Founder or ex-founder experience. — Background in early-stage or stealth startups (e.g., YC, EF, Antler). — Experience as a forward-deployed or solutions engineer. — Proficiency in Python for backend service development. Culture & Benefits: — High-ownership, high-trust environment with a world-class team from X, Google, and Amazon. — Full relocation and visa sponsorship support. — Provision of meals and professional tools. — Fast-paced, in-person culture in London.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities 1. Recommendation Engine & Full-Pipeline Development Multi-stage Engine Development: Own the development and refactoring of high-concurrency, low-latency recommendation serving engines, powering the full pipeline of multi-channel recall (two-tower/collaborative filtering/ANN vector retrieval) → coarse ranking → fine ranking → re-ranking. Compute Tiering & Strategy Engine: Implement dynamic compute trimming and degradation mechanisms for dynamic Ul personalization and global strategy dispatch, ensuring core engine stability under extreme traffic spikes. 2. Real-time Feature Engineering & Data Consistency Governance Real-time Feature Pipeline: Build high-throughput, low-latency real-time feature streams on Kafka/Flink, enabling minute-level/second-level user pehavioral feature updates and dynamic sliding-window aggregations. Feature Store: Contribute to the development of unified online/offline feature storage with stream-batch convergence architecture; deeply govern industrial-grade pain points such as "online/offline feature inconsistency" and "feature time-travel leakage," systematically improving online/offline feature consistency. 3. Large-scale Retrieval & Vector Infrastructure Optimization Vector Retrieval System: Own the construction and optimization of large-scale vector retrieval systems (Faiss/Milvus/NSW) supporting candidate pools from tens of thousands to milions, lead index structure parameter tuning, achieving P99 retrieval latency < 100ms. Multi-source Heterogeneous Indexing: Build unified Embedding Pipelines and high-performance inverted index services covering trading products, news, KOL content, on-chain signals, and other heterogeneous data sources. 4. High-performance Model Inference & Compute Optimization Deep Model Engineering: Own high-performance online deployment and operator optimization of complex deep ranking models (e.g., DIN/SIM sequential models, MMoE/PLE multi-objective deep models). Inference Graph & Compute Governance: Solve compute explosion in multi-task/multi-objective online inference through inference optimization (quantization, graph optimization, batching strategies) - targeting fine-ranking P99 latency < 200ms. 5. System Performance, Global Observability & Experimentation Infrastructure High Availability & SLO: Ensure global recommendation service P99 latency < 200ms and system availability > 99.9%; write comprehensive overload protection, thread isolation, and disaster recovery degradation code. Global Distributed Tracing: In complex multi-region/multi-site/multi-language cross-border IDC environments, build and maintain end-to-end distributed tracing and monitoring systems (e.g.,Jaeger/Prometheus), establishing minute-level root cause attribution and fault localization mechanisms. Experimentation Platform Engineering: Contribute to A/B experiment traffic-splitting platform upgrades, engineering CUPED variance reduction and sequential testing mechanisms to reduce sample size requirements and accelerate algorithm iteration pipelines. Requirements Industrial-grade Hands-on Experience: 5+ years of recommendation system engineering at consumer-scale internet companies; must have deeply participated in or led architecture refactoring or launches of realtime recommendation systems serving tens of millions of users at scale. Proven experience building recommendation systems from 0→1 (not just maintaining mature systems) is strongly preferred. Mastery of Engineering Foundations: Exceptionally solid low-level CS fundamentals; proficient in at least one of Go/Java/C++ (Go preferred given current stack; C++ experience a plus for future engine optimization); familiar with PyTorch/TensorFlow model online inference and deployment optimization. Deep Expertise in Big Data & Retrieval: Hands-on with Spark/Flink/Kafka stack, with real experience solving stream computing latency and data backlog issues; proficient in Milvus/Faiss cluster deployment and tuning. Engineering Perspective on Algorithms: Deep understanding of computational complexity and online bottlenecks of core algorithms (collaborative filtering, two-tower recall, multi-objective optimization MMoE/PLE); ability to interface smoothly with algorithm teams for high-quality, efficient engineering translation. Excellent System Design Capability: Proven experience in actual development and core module design of recommendation platforms, feature platforms, experimentation platforms, or high-performance RPC frameworks at top-tier companies. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: New York, New York; San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion's Business Development team accelerates product distribution and platform growth through partnerships. This role has the potential to drive outsized scope in Notion's journey - we’re partnering with some of the best companies in the world and turn momentum into first-in-kind deals and scaled programs that result in delightful experiences for our customers, and growth for Notion. As Business Development Manager, you'll be the ecosystem partner to our engineering and product teams, launching and deepening integrations with frontier intelligence platforms and the tools our customers already use. You'll be the voice of partners within Notion, shaping our product roadmap and driving adoption of new APIs and developer tools in the ecosystem. You'll also get to design and execute growth strategies that drive new user demand and own relationships with some of our strategic partners like OpenAI, Anthropic, Slack, and Google. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.     WHAT YOU'LL ACHIEVE: - Scale the Notion platform: In close collaboration with partners and Notion’s product and engineering teams, identify, evaluate and facilitate launch of new product integrations. Project manage partner-centric launches - from partner onboarding and implementation, to driving go-to-market and post-launch tracking. - Drive partner strategy: Own and grow relationships with select strategic partners, becoming their voice within Notion. Identify, evaluate and implement new product and co-marketing opportunities that create outsized value for partners, Notion and our shared customers. - Be the best partner to the best partners: As an internal advocate for Notion’s partners, ensure their needs are being considered and reflected in our roadmap and planning. Provide ongoing support to grow our strategic relationships. - Accelerate distribution partnerships: Source, evaluate, and launch first-in-kind partnerships that drive new user demand for Notion. From negotiation to launch and performance tracking, turn successful deals into scalable programs based on adoption and revenue signals.     SKILLS YOU'LL NEED TO BRING: - 7+ years in business development / strategic partnerships / product / growth - Strong product instincts and experience working closely with engineering, product and go-to-market teams - High agency and comfort operating in ambiguity. You can drive clarity where a playbook doesn’t exist yet - Operational rigor, ability to execute end-to-end and manage complex cross-functional projects - Strong communication and negotiation skills. You can tell a clear and compelling story in docs, decks, and in person   NICE TO HAVES: - You've been an early go-to-market or product hire at a fast-growing company before - You have fluency working with ISVs and across developer ecosystems - You’ve built partnerships across multiple regions (AMER, EMEA, APAC)   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $185,000 - $210,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Belarus; Serbia; Georgia; United Arab Emirates; Kazakhstan We are hunting for a talented C/C++ Software Engineer who genuinely loves working with complex data feeds and isn't intimidated by high-stakes technical hurdles. In the world of quantitative trading, data is our lifeblood—meaning our quality standards are incredibly high and the volume of incoming data is massive. This role isn't just about writing code; it's about navigating intricate edge cases and mastering one of the most demanding layers of our engineering infrastructure. If you are someone who enjoys diving deep into technical documentation, obsesses over the details, and takes immense pride in robust engineering, you will thrive here. What will you do: Expand Exchange Connectivity: Build and integrate robust gateways to connect with new financial exchanges globally. Optimize Performance: Fine-tune existing data connectors to minimize ingestion latency and maximize data throughput. Evolve Data Models: Implement support for new and emerging data structures and asset types within our data pipeline. Refactor for Scale: Modernize and re-architect existing solutions to ensure our infrastructure effortlessly scales alongside growing market volumes. Requirements Modern C++ Expertise: Strong hands-on experience writing clean, efficient code using modern standards ( C++17/20 ). High-Throughput Architecture: A proven track record of managing, parsing, and processing massive streams of incoming real-time data. Concurrency & Hardware Savvy: A deep understanding of multithreaded programming, concurrent systems, and CPU memory models. Networking & Systems Mastery: A solid grasp of network protocols, communication layers, and Linux system internals. CS Fundamentals: Strong foundational knowledge of core algorithms and data structures. Global Collaboration: A professional level of written and spoken English to seamlessly partner with our international team. Deep expertise in ultra-low latency, sub-microsecond real-time development. Prior engineering experience in High-Frequency Trading (HFT), telecom routing, or high-performance game engines. Benefits Immediate Impact: Dive into fascinating technical problems featuring ultra-fast feedback loops. Elite Global Network: Collaborate with a welcoming, exceptionally brilliant team of international professionals. Top-Tier Infrastructure: Gain access to state-of-the-art hardware and cutting-edge technological innovations. Ultimate Work Freedom: Work 100% remotely from anywhere on Earth, with full open-door access to any of our physical global offices whenever you like. Premium Perks: Enjoy a flexible schedule, an industry-leading 40 paid days off , and a highly competitive compensation package.

Location: London Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We’re hiring a Product Marketing Manager to help shape how Linear’s products are brought to market and understood by customers. This role sits at the intersection of Product, Engineering, Design, CX, Sales, and Marketing, and is responsible for turning technically sophisticated product work into clear narratives, strong launches, and high-quality customer-facing experiences. You’ll go deep on the product, define positioning and messaging, and drive execution across the surfaces that matter most—from in-product copy and changelogs to enablement, documentation inputs, email, and launch communications. This is a hands-on role for someone who combines product judgment, excellent writing, and strong cross-functional leadership. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America and the United Kingdom. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Develop positioning, messaging, and core narratives for feature releases, key launches, and strategic product narratives - Partner closely with Product management, Engineering, and Design to refine how products are presented across in-product and external surfaces - Create and coordinate launch deliverables such as changelogs, demos, enablement materials, email, social copy, and go-to-market communications - Equip Sales, CX, and other customer-facing teams with the context and materials they need to communicate new launches effectively - Bring customer insight, product understanding, and market context back into product and launch decisions What we’re looking for - Exceptional writing and editorial judgment, with the ability to make complex ideas feel clear and compelling - Strong positioning and messaging skills grounded in customer problems, product truth, and differentiation - Great project management skills and ability to track large amounts of detail. - Comfort going deep on product details and building credibility with Product, Engineering, and Design - Strong judgment, ownership, and the ability to operate autonomously while maintaining a high quality bar What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $145,000—$192,500. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Poland Workplace: remote 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:No-Code Business Analyst to join our Industries Solutions Engineering Team.In this role, you'll leverage the Creatio platform, which allows you to cover most CRM functionalities with no-code development. You will utilize these tools to create applications and conduct research to determine what is actually needed to solve real-world problems effectively.Key Responsibilities:UI Creation with No-Code Tools: Create application UIs using No-code designer tools, including a drag-and-drop interface for composing UI for pages and sections, simplifying and accelerating the development process.Server Logic Automation: Develop server logic automation using no-code business process tools, similar to a diagram constructor, to implement complex logic for applications, tailored to BPMN notation, leveraging no-code capabilities to streamline automation.Web Services Integration: Create web services for system integration using no-code tools, including designing RESTful APIs and SOAP interfaces to enable seamless data exchange, ensuring adherence to security protocols, and providing documentation for developers and third-party systems.Webhook Services Configuration: Create and configure webhook services using no-code tools to receive requests from external services, ensuring proper authentication, data handling, and logging mechanisms for secure and reliable communication.Database Design: Design database structures using Creatio Objects designer, involving defining tables, relationships, and data fields to ensure scalability, performance, and data integrity.User Story Decomposition: Decompose User Stories into executable tasks for no-code creation.Market Research: Conduct market research to generate insights on competitors, industry trends, and analytical reports (e.g., Gartner, Forrester) to identify opportunities for product improvement.Customer Feedback Gathering: Conduct interviews with end users or solution consultants to gather customer feedback and key product requirements.Collaboration with QA: Collaborate closely with Quality Assurance Engineers to ensure both manual and automated testing of created solutions, guaranteeing high-quality, robust, and reliable outcomes.Version Control: Utilize Git/SVN for version control, ensuring seamless collaboration, code integrity, and efficient management of application changesRequired Skills & Competencies:Proven experience in conducting business analysis and research tasks, including market research, competitor analysis, and gathering business requirements to shape product features.Knowledge of database management, including key principles of T-SQL, data queuing, designing relationships, view models, indexes, and understanding the fundamentals of complex selection queries such as joins and sub-selects.Solid understanding of BPMN notation principles, with the ability to model business processes accurately and efficiently.Proven experience working within software development teams or as a business analyst for IT projects, demonstrating effective collaboration skills.Hands-on experience in configuring information systems through UI-based tools, ensuring optimal user experiences.Strong general understanding of technology concepts, data structures, and integration methods to ensure seamless implementation of no-code solutions.A fast learner, capable of quickly adapting to new UI tools and technologies, with an eagerness to continuously expand your skill set.Proficiency in English, with the ability to conduct interviews and collaborate effectively with international stakeholders.Will be a plus:Demonstrated proficiency with one or more of the following platforms and tools: CRM, BPM, or No-Code Platform/System Experience.Coding skills, with the ability to understand and communicate technical concepts effectively.Proficiency with Figma or similar software for UI prototyping, creating clear and effective user interfaces that enhance the user experience.What to 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.