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Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The team The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own. We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability. The role Nebius is looking for a Staff Software Engineer in Hardware Infrastructure team. Hardware Infrastructure team designs, develops and supports systems involved in the data center lifecycle. Your responsibilities will include: Design and develop services that automate work with a large server fleet We expect you to have: 5+ years of professional software engineering experience Excellent knowledge of Python or Golang, or you are ready to quickly switch to these programming languages Ability to write reliable code and dig into complex problems Strong interest in being engaged in DevOps processes It will be an added bonus if you have: Solid understanding of modern server architecture and its components Good knowledge of computer networks Experience designing, developing and running high-load distributed syste Experience with cloud platforms or infrastructure-level systems Knowledge of Kubernetes, containers, or service meshes Background in performance optimization or low-latency systems Familiarity with observability tools (metrics, logging, tracing) We expect Staff Engineers to : Manage large-scale projects involving multiple stakeholders Break down complex tasks and guide both their own work and that of more junior colleagues Be experts in specific technologies and write high-quality code that can serve as a reference Assess task priority and focus on high-impact work, avoiding low-value efforts Have strong architectural thinking and contribute to system design Be involved in hiring and actively contribute to interviews Be willing to share knowledge and mentor others Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Join Nebius Today! Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $175,000 — $225,000 USD 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: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Account Executive on Vercel's Startups team, you'll grow a portfolio of startup customers who've already adopted Vercel, from early usage through full-scale adoption. You'll use usage data to spot expansion and re-engagement opportunities, coordinate sales engineers, developer support engineers, product, and support to resolve technical blockers, and turn what works into repeatable playbooks other AEs can reuse. This is a hybrid role based in San Francisco, Austin, or New York City, with three days a week in the office; outside commuting distance of those offices, it's fully remote. What you'll do Build relationships with founders and technical leaders by developing a deep, fast understanding of their architecture, use cases, and technical constraints Analyze usage patterns to identify the highest-leverage accounts for expansion, adoption, or re-engagement Coordinate sales engineers, developer support engineers, product, and support at the right moments to drive customer outcomes Own and grow a portfolio of startup accounts as they move from early adoption to scale Build repeatable plays and automations that help the team operate at higher leverage across the portfolio What you need 4+ years closing deals in a full-cycle sales role, with experience owning revenue outcomes across a range of deal sizes Hands-on experience discussing architecture, infrastructure, or technical trade-offs directly with developers or technical stakeholders Experience managing an existing account portfolio through renewal, expansion, or usage growth, not just net-new acquisition Background as a founder, engineer, or technical go-to-market professional, with working knowledge of modern web infrastructure and frontend performance Bonus if you Have hands-on experience building or shipping software yourself Have sold into or supported customers at a developer-tools or platform-as-a-service company Have built or used automation or AI workflows to scale a sales or customer-facing motion Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $180,000-$240,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius operates large-scale, mission-critical bare-metal infrastructure. As a Software Engineer (Python), you will design and build systems that provision, configure, test, and manage physical hardware at scale. Your work will sit close to the metal—interfacing directly with servers, networks, and management controllers—while supporting highly automated, reliable infrastructure operations. You will collaborate closely with hardware, networking, and data center operations teams to ensure our platforms are robust, scalable, and production ready. Your responsibilities will include: Design and develop backend services and automation in Python Build and maintain systems for hardware provisioning, testing, and lifecycle management Develop software that runs directly on bare-metal environments Integrate with Linux systems, using Bash and low-level tooling where needed Implement and maintain CI/CD pipelines for infrastructure-focused software Work with networking services including IPv4/IPv6, DHCP, DNS, network boot, and server boot workflows Interface with BMC controllers and management protocols (IPMI-style protocols, HTTP-based standards) Enable reliable hardware interaction and automation across large fleets Support ARM64 / ARM64EC architectures Design and integrate NoSQL data stores for system state and orchestration data Write clear documentation and contribute to operational excellence What we expect you to have: Strong professional experience as a software engineer, with a focus on Python Solid experience with Linux systems and shell scripting Hands-on experience working with bare-metal servers or low-level infrastructure Strong understanding of networking fundamentals (IPv4/IPv6, DHCP, DNS, PXE / network boot) Experience interacting with hardware management interfaces (BMC, IPMI-like protocols, HTTP APIs) Familiarity with CI/CD systems and production deployment workflows Experience designing or working with NoSQL databases Ability to debug complex issues spanning software, hardware, and networks Strong ownership mindset and clear communication skills in a distributed team It will be an added bonus if you have: Experience operating or building systems for large-scale infrastructure Familiarity with ARM-based platforms in production environments Background in hardware testing, validation, or factory provisioning Experience with infrastructure automation or internal platform tooling Contributions to open-source or internal systems software projects Working conditions: Fully remote position (United States) Collaboration with globally distributed engineering and operations teams Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families 401(k) plan: up to 4% company match with immediate vesting Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers Remote work reimbursement: up to $85/month for mobile and internet Disability & life insurance: company-paid short-term, long-term, and life insurance coverage Compensation We offer competitive salaries, ranging from $150k- $210k base equity + quarterly performance bonuses. Join Nebius today and help build the software that powers the next generation of AI infrastructure. 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: Guadalajara Workplace: remote Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5,000 specialists.   We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Norway, Sweden, Denmark, Finland, Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa, and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.   The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection, and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.   Ajax Systems production includes 4 factories, 2 of which are located in Ukraine, 1 in Turkey, and 1 in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.   The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Personality profile: 3+ years of experience in the electronic security industry or a similar industry. Demonstrated sales experience in the Mexican market. Strong technical knowledge of electronic security systems, including access control, video surveillance, intrusion detection, or fire alarm systems. Languages: Fluent in Spanish; English is a plus Proven track record of being involved in the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals. Developing and implementing successful sales strategies. Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level. Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions. Ability to manage and prioritize multiple projects and tasks simultaneously. Knowledge of the latest technologies and trends in electronic security, such as cloud-based solutions, IoT, and AI-based analytics. A strong combination of technical knowledge, sales expertise, and strong communication skills. Responsibilities: Develop and implement a strategic business development plan in Mexico, aligned with company objectives and market trends. Identify, evaluate, and onboard new distributors and partners across the region, ensuring coverage in key markets and verticals. Identify and pursue new business opportunities that align with the company's growth strategy. Develop and maintain relationships with key clients, partners, and stakeholders. Conduct market research to identify new trends, opportunities, and potential risks. Analyze market data to develop and execute effective sales strategies. Collaborate with cross-functional teams to ensure the successful delivery of products and services. Prepare and deliver presentations to potential clients and partners. Negotiate contracts and agreements with clients and partners. Manage and prioritize multiple projects and initiatives simultaneously. We offer: Competitive compensation that includes a base salary and performance-related bonuses. A product that sells itself. Freedom to make decisions and implement ideas. A zero bullshit culture. A strong and well-coordinated team of professionals. Ambitious tasks and challenges. Opportunity to work with the most recognized security system and develop your career. Car allowance and full coverage of business-related expenses. We are working to ensure that people's lives are calm and the world safe. Let's become a part of the team that creates in Ukraine a smart and useful global product.

Location: Germany Workplace: hybrid Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. 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:Senior Solutions Consultant to support the development of the DACH Region providing technical expertise and experience to the team, customers, and partners. As a Solutions Consultant, you will actively drive and manage the technology evaluation stage of the sales process, working in conjunction with the sales team as the key technical adviser and product advocate. Using technical creativity and business acumen, you will illustrate the value that Creatio’s platform can provide. You must be able to engage and articulate product positioning to both business and technical users in competitive scenarios. You will also rapidly identify all technical issues of assigned accounts to assure complete customer satisfaction through all stages of the sales process.The role is based in Germany.Responsibilities:Customer Oriented:Conduct key customer meetings with Sales Executives, offering technical expertise and support on product development roadmap.Develop vision and strategies for CRM and BPM opportunities, designing/configuring custom demos, presentations, training, and supportive materials.Deliver product demonstrations to key accounts, tailored to match customer expectations and needs.Assist in the production of RFPs and other proposals to clients.Design and deliver high quality technical Proof of Concepts for prospective customers.Represent products to customers and at field events such as conferences, summits, seminars, etc.Partner Oriented: Communicate company vision to key prospect partners, aiding in their understanding of our product roadmap.Assist partners in defining sales strategies based on product specifics and capabilities.Company and Team-Oriented:Perform competitor analysis and provide feedback to R&D and Product teams, contributing to product development and Sales Enablement.Participate in defining deal-win strategies and region development strategies.Present technical and business aspects of proposed solutions to a C-Level audience.Requirements:Minimum 5 years of experience as a Solutions Consultant (Presales) in the SaaS/ PaaS industry, with a proven track record of success in handling complex sales deals, that involves sales scenarios (e.g. custom POCs and demos).Technical depth to respond to all functional and technical elements of RFIs/RFPs.Demonstrated experience working closely with C-level managers on the client side, understanding their needs, and providing tailored solutions.In-depth knowledge of the DACH market dynamics, including industry trends, competitor landscape, and regulatory environment.Experience in CRM, BPM, No-Code/Low-Code Platforms will be a plus.Strong communication and presentation skills, with the ability to articulate complex concepts clearly and convincingly.Proven success conveying customer requirements to Product Management teams.Recent experience programming within a modern web or enterprise development systems will be a plus.Familiarity in production environments (application servers, web servers, databases) will be a plus.Proven ability to work independently as well as collaboratively in cross-functional teams.Good command of English.Fluent German (C1/C2 or native level) is required, as the role involves working closely with partners and stakeholders across the DACH region. Professional communication in German is essential.Strong analytical and strategical problem-solving skills, with the ability to think out of the box, identify opportunities and drive results.Willingness to travel as needed to meet with clients and attend industry events.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

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. The role Nebius is building next-generation AI infrastructure at scale. We are looking for a Field Technical Lead to drive on-site execution of new data center deployments, leading technical teams and contractors while ensuring high-quality, on-time delivery. This position requires frequent travel to data centers during key deployment phases. The person in this role can be located anywhere in the EU but must be available for regular travel to data center deployments around EU/UK. Your responsibilities will include: Technically lead on-site deployment of GPU-based compute clusters, storage systems, and high-speed networking in data centers. Support Project Managers in planning, coordinating, and tracking project delivery activities. Organize and supervise contractors, vendors, and internal technical teams to ensure smooth execution of deployment workstreams. Proactively identify, troubleshoot, and resolve technical and operational issues during deployments. Maintain clear and accurate project documentation, including deployment plans, risk logs, issue trackers, and acceptance reports. Ensure transparent communication with all stakeholders by providing regular status updates, escalating blockers, and managing expectations. Collaborate closely with cross-functional teams including engineering, networking, operations, and supply chain. Participate in related project activities such as automation initiatives, process improvements, and post-deployment support when required. We expect you to have: Proactive, ownership-driven leader with the ability to anticipate issues, drive decisions on-site, and lead teams through complex deployments. Proven hands-on experience with data center infrastructure deployments, ideally in high-performance computing or AI-focused environments. Strong understanding of data center operations including racking, structured cabling, power planning, and cooling considerations. Technical knowledge of GPU servers, compute nodes, storage platforms, and high-speed networking technologies. Experience working within project delivery frameworks, collaborating closely with Project Managers, and managing subcontractors or vendors. Excellent problem-solving skills with the ability to troubleshoot and resolve issues in on-site, time-critical environments. Strong communication skills in English, both written and verbal. Ability to document processes, maintain tracking systems, and produce clear, structured deployment and status reports. It will be an added bonus if you have: Understanding of construction projects structure and key risk factors in facility build-outs. Knowledge of HPC Experience in business processes design or automation tools development. PMP, PRINCE2, or similar industry certifications. 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: Palo Alto, California 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 You’ll lead Analytics Engineering and Product Analytics at Workato. Your team will help us understand how enterprises adopt AI and orchestration, where promising projects stall, and what changes when customers expand from one successful deployment to many. You’ll work directly with Product leadership, guide the engineers who make usage data reliable, and develop the analysts who turn that data into decisions and original industry research. What you’ll own Data strategy and delivery Set the strategy, roadmap, priorities, and capacity plan for both teams. Balance investments in shared data foundations with time-sensitive product decisions and investigations the team initiates. Define who owns product instrumentation, pipelines, datasets, metrics, and analysis. Agree with Product and Engineering on handoffs and who makes technical and analytical decisions. Turn major requests into scoped initiatives with owners, milestones, and success criteria. Resolve dependencies across Product, Engineering, Infrastructure, and Security. Bring progress, risks, and resource trade-offs to leadership early enough to act. People and organization Own hiring, onboarding, performance management, and workforce planning. Identify the skills and leadership capacity the organization needs as Workato’s portfolio grows. Set clear expectations and career paths for managers, analytics engineers, and product analysts. Give engineers ownership of architecture and reliability. Coach analysts to frame a question, challenge an assumption, and defend a recommendation with evidence. Analytics engineering and the data platform Lead the engineering work to collect, model, transform, and curate product usage data. Deliver analytics-ready datasets that connect builder activity, workspaces, customer accounts, deployments, and production workloads. Partner with senior engineers on architecture, orchestration, and tooling. Weigh scalability, maintainability, cost, and delivery speed when deciding whether to extend a data model, build a pipeline, or change the platform. Establish standards for automated testing, CI/CD, documentation, lineage, and pipeline monitoring. Give critical datasets an owner and a way to detect stale, missing, or incorrect data before it affects a decision. Product analytics and experimentation Bring analysts into roadmap discussions while options are open. Understand the choices a product leader faces, test competing explanations, and identify what evidence would change the recommendation. Define measurement during feature planning. Agree with PMs and engineers on the intended customer outcome, what telemetry to capture, who will implement it, and how to validate it before launch. Review the results after release. Measure activation, engagement, retention, and expansion. Show whether growth comes from more customers reaching production, more business processes per customer, or greater volume in existing workloads. Each finding points to a different product decision. Lead experiment design and interpretation. Define hypotheses, success metrics, and guardrails. Use funnels, cohorts, A/B tests, and holdouts where appropriate. Explain what the team can conclude when enterprise sample sizes are small. Match the analysis to the stage of the product. Identify early signs of customer value for new offerings. Forecast adoption and growth for established products. Recommend where to invest, what to change, and when to measure again. Metrics, self-service, and AI-assisted analytics Publish a shared catalog of product and business metrics. Document each metric’s definition, calculation, source, and owner. Verify that the data platform, dashboards, and reports implement it consistently. Give analysts and business teams governed datasets and reusable tools for reporting, experimentation, and advanced analysis. Make recurring questions easy to answer without a new engineering request. Develop AI-assisted analytics that can monitor metrics, investigate changes, and explain findings. Ensure answers respect access permissions and let users verify the source and calculation. Data culture and industry research Establish regular reviews where Product, Sales, and Customer Success discuss a usage pattern, decide what to do, and return to see whether it worked. Help field teams use those findings to address adoption barriers and identify expansion opportunities. Lead original research for the Workato Automation Index and industry briefings. Use aggregated usage data to examine which processes enterprises automate, who builds them, and where AI is moving into production. Test emerging trends against customer and market evidence, then partner with Marketing and Analyst Relations to publish findings the industry can use. Requirements What you bring 10+ years in analytics, data science, or a related quantitative field , including experience leading senior practitioners, developing managers, and scaling teams. Data engineering and modeling expertise. You can review SQL and architecture decisions and guide teams working with cloud warehouses, transformation frameworks, and orchestration tools such as Snowflake and dbt. Data cataloging and governance experience. You’ve used Atlan or comparable tools to document ownership and lineage, govern access, and make trusted datasets discoverable. B2B product and analytical judgment. You know how to use behavioral analysis, forecasting, experimentation, and causal inference to guide a decision. You can explain a decision your team changed and what happened afterward. Cross-functional leadership. You’ve delivered work where teams share ownership of data and infrastructure. You can resolve dependencies, negotiate priorities, and explain trade-offs to engineers and executives. Practical AI fluency. You use AI to investigate questions and verify findings. Experience building analytics agents or governed self-service data products is a plus. What success looks like Priority launches ship with validated telemetry. In post-launch reviews, PMs can show who reached the intended outcome, where adoption stalled, and what they will change. Product and field teams can answer recurring questions from shared datasets. They spend less time reconciling definitions or waiting for custom queries. Engineers own reliable data assets. Analysts spend more time investigating behavior and testing hypotheses. Both teams have clear priorities, career paths, and a leader who resolves cross-functional trade-offs. Product leaders seek the team’s perspective before committing to investments. Sales and Customer Success use its findings in customer conversations. Workato publishes original research that helps customers, partners, and analysts understand how enterprise AI and automation are evolving. (REQ ID: 2538)

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🤘 HOW WE DO IT ? People joining Alan are always surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as: 🎯 What drives us - We're obsessed with helping members live healthier - Mission is the Boss: long-term thinking, mission above all else - Member & customer-led: obsessed with solving problems and delighting users 🏆 How we build excellence - We hire the best and empower them to succeed - Champions of excellence: extremely high standards and talent density - Distributed ownership: everyone owns their decisions and results - Radically transparent: all information accessible, written-first, async decisions 🤝 How we grow together - We improve through honest feedback and bold thinking - Optimistic alchemy: optimists who collaborate with genuine care - Empathetic challengers: direct, caring feedback to help each other grow - Bold contrarians: think differently, try new approaches ⚡ How we move fast — We fight complexity and focus on what matters - Disciplined execution: decisive action with compounding focus - Fight for simplicity: high-impact processes, smart frugality ⭐ THE PRODUCT PLATFORM AREA 🎯 MISSION We enable product crews to move faster by providing reliable, reusable, and simple internal services. We encapsulate complexity, expose clear interfaces, and build mature, long-term building blocks. 🔭 SCOPE Our focus is on building reusable internal capabilities that power multiple product flows: - Core Services: APIs & systems like Payment, Messaging, Document Processing, Pricing Engine - Shared Platforms: Centralized services (e.g. AI Platform) with strong adoption across areas. - Operational Tooling: Dashboards and automation that support reliability, observability, and scalability. - Foundational User Experience - Ensure quality and consistency of the UX through shared layout systems, navigation, reusable UI components Our role is to empower product teams, reducing their cognitive load. ⚡ IMPACT - Your work will be used daily by hundreds of product builders across Alan. - You’ll shape reusable building blocks that make it faster and safer to launch products across multiple countries. - By improving adoption of our services, you’ll directly improve product velocity, consistency, and member experience. ⚡ WHY THIS ROLE IS SPECIAL - High Leverage: Your work is multiplied across the entire company — adoption & reliability is our main KPIs. - Complex Problems: Multi-country services, abstraction design, and adoption challenges. - Platform Mindset: You’ll build services like a product, with product teams as your customers. - Ownership: You’ll influence product direction, mentor engineers, and shape Alan’s internal platform for years to come. You’ll work closely with product crews across all Alan areas, as well as with our Architecture Group and Tech Foundation Area, making sure our systems scale globally and align with long-term technical strategy 🛠️ THE STACK Python/Flask, React, PostgreSQL in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🔍 WHAT WE’RE LOOKING FOR Experience we value - 3+ years in backend, platform, or infrastructure-oriented engineering roles - Experience designing and maintaining internal services, APIs, or SDKs - You love turning complex problems into elegant solutions - You care about the "why" behind what you build, not just the "how" MINDSET WE VALUE - You think in terms of platform as a product: other engineers are your customers - You simplify complexity with clear abstractions and long-term ownership - You are collaborative, humble, and motivated by enabling others - You leverage AI to redefine our roles and unlock scalability - Healthcare technology excites you - You are fluent in English (no French required) 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area,, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: Baltics 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: Berlin Office; London Office Workplace: Hybrid Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Deployment Lead to serve as the strategic layer in our Forward Deployed Engineering (FDE) function who ensures our customers successfully implement and unlock maximum value from AI-driven decision-making. In this pre- and post-sale hybrid role, you'll be the primary point of contact guiding enterprise customers and Taktile internal teams through highly strategic, complex, multi use case AI transformation projects. You lead strategic planning of the project, own business outcome of the solution implementation, pave path for business impact-driven footprint and revenue expansion within the account, and shape product roadmaps with first-hand industry insights. You’ll collaborate across Taktile’s Forward Deployed Engineer (FDE), Solution, Product, and Sales teams, as well as with external partners, to support customers throughout their entire lifecycle, driving strategic outcomes and sustained impact. About You - Strategic Enterprise Leader – You are a strategic thinker and experienced navigator of complex enterprise deals and transformation programs. You can turn an ambitious AI vision into a credible, sequenced, and executable plan. - Complexity Navigator – You can synthesize technical, operational, and commercial complexity, including use-case-specific pain points, value propositions, industry dynamics, vendor landscapes, stakeholder agendas, competing KPIs, and build-versus-buy considerations. - Executive Communicator – You have the presence and judgment to engage senior and C-level stakeholders, facilitate difficult trade-offs, challenge assumptions constructively, and build alignment across business, risk, technology, data, and AI teams. - Commercially Minded – You can identify where AI can create material business value, build quantified success metrics and ROI frameworks, and connect delivery outcomes to adoption, expansion, and long-term account value. - Delivery Leader – You can structure and lead high-stakes pilot and proof-of-value programs, anticipate risks, unblock decisions, and keep cross-functional teams aligned on scope, quality, timelines, and expected impact. - AI-Native – You are familiar with modern AI and LLM capabilities, limitations, evaluation approaches, governance considerations, and the requirements for deploying trusted AI in regulated environments. You use AI tools every day to do your own work faster and better, and you expect to bring that way of working to customers. - Technically Hands-On – You understand applied AI, data, and integration concepts deeply enough to make solution choices yourself, not just referee them. You don’t need to be a software engineer, but you are comfortable reading a decision flow, digging into data, and building a rough prototype or demo with modern AI tooling. Solutions Engineers and Forward Deployed Engineers own production implementation; you can follow them all the way into the details. - Low-Ego, High-Ownership – You are hands-on where your judgment has the greatest leverage, collaborate effectively across functions, and want to build with customers and teams—not advise from a distance. - Experienced – You have 5-10 years of experience in enterprise technology, strategy consulting, digital or AI transformation, technical sales, complex delivery, or a similarly demanding customer-facing environment, including leadership of large accounts or programs. - Mobile – You are willing to travel up to 30% of the time. What You’ll Do - Shape high-impact AI transformations - Partner with Account Executives and Solutions Engineers early in strategic enterprise opportunities to qualify the opportunity, shape account strategy, and build credibility with executive stakeholders. - Lead use-case discovery and prioritization workshops that assess potential business impact, transformation potential, feasibility, implementation risk, and time to value. - Guide customers and internal teams to select the right landing or pilot use case, define which use cases should follow in later phases, and turn that sequence into a compelling AI-transformation roadmap. - Lead end-to-end process-mapping workshops for the selected use case. Surface and document current-state pain points, stakeholder needs, decision flows, data and technology constraints, the target-state process, and the customer’s wish list. - Define clear success criteria, measurable business-value metrics, and ROI frameworks that align business, risk, technology, data, and AI stakeholders before delivery begins. - Own Taktile’s most strategic value deliveries - Act as a senior sponsor for complex post-sale programs, ensuring delivery quality, executive alignment, measurable outcomes, and a clear path from the initial use case to scaled adoption. - Lead pilot and proof-of-value programs in partnership with Forward Deployed Engineers. Guide solution design, evaluation methodology, performance assessment, stakeholder reviews, and the priorities for subsequent iterations. - Translate technical results into clear business implications and present progress, trade-offs, risks, and quantified value to both customer executives and internal stakeholders. - Accelerate revenue and product excellence - Identify expansion opportunities based on demonstrated value and customer priorities, and shape the narrative, sequencing, and operating plan for additional use cases. - Bring customer realities, market dynamics, and field feedback back to Product and Engineering, and turn lessons from engagements into repeatable discovery methods, delivery playbooks, ROI frameworks, and industry-specific patterns. - Act as a force multiplier across accounts and teams by coaching colleagues on strategic problem-solving, executive communication, use-case framing, and delivery leadership. Ideal, But Not Required - You are a domain expert and can engage credibly in front of customers and internal teams for one or more of Taktile’s core use cases: business onboarding and KYB, business lending and underwriting, fraud or risk decisioning, or insurance claims processing. - You have led AI, data, risk, or decisioning transformation programs within banks, insurers, lenders, or other regulated financial institutions. - You have deep experience in one or more of Taktile’s core use cases: business onboarding and KYB, business lending and underwriting, fraud or risk decisioning, or insurance claims processing. - You have operated at Engagement Manager, Principal, Director, Partner, or an equivalent senior level in strategy consulting, digital transformation, enterprise technology, technical sales, or customer delivery. - You understand the financial-services technology and vendor landscape and can help customers evaluate architecture, operating-model, and build-versus-buy trade-offs. - You have experience coaching teams, codifying best practices, and raising the quality of work across multiple strategic accounts or programs. Our Offer - Work on hard, meaningful problems with real-world impact. - Receive top-of-market equity and cash compensation. - Get access to a self-development budget that you can use to e.g. attend conferences, buy books or take classes. - Join us onsite in our inspiring office spaces in the heart of Berlin, London or New York and travel to bi-yearly company-wide meetings around the world. - Shape how enterprise SaaS is delivered at scale. - Experience a truly flat hierarchy. Interact with and learn directly from founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Use the equipment of your choice including a meaningful home office set-up. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.   About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: Pune; Bangalore Workplace: remote IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have revenues in excess of $1.5 billion. We are looking for a skilled Senior Data Engineer (with AI/ML exposure)  to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!    * The interview process will be conducted in English. Responsibilities: Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services. Design, optimize, and maintain robust ETL/ELT pipelines and data structures within our cloud data warehouse (Snowflake/Redshift) to support core Business Intelligence. Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns. Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights. Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces. Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows. Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions. Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines. Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations. Requirements: Senior Data Engineer with 6-7+ years of experience in building scalable data infrastructure and 1-2 years of hands-on exposure to AI/ML workflows. Excellent English communication skills. Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion. Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources. Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift. Effective oral and written communication skills with BI team and user community. Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing. Deep understanding of vector databases and RAG architectures, and how they drive semantic retrieval workflows. Skilled at integrating open-source LLM frameworks into data engineering workflows for end-to-end model training, customization, and scalable inference. Experience with cloud platforms like AWS or Azure Machine Learning for managed LLM deployments. Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies. Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment. Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights. Pluses: Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex–including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows. Familiarity with evaluating and integrating open-source LLM frameworks–such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization. Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments. What we offer: Remote work opportunity! B2B Employment ($, gross) or full-time employment option. Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. Please attach CV in English. The interview process will be conducted in English.   Only accepting applicants from INDIA

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Backend Reliability (BRE) team is the backbone of our backend infrastructure and the guardian of our uptime. Our mission is to achieve and sustain 99.99% availability while building the tools, components, and safety nets that the entire engineering organization relies on. As a Senior / Staff Backend Engineer on this team, you won’t just close tickets - you’ll architect core reliability solutions that shape how Wrike scales, performs, and recovers from failure. Your Impact: Design, build, and maintain critical reliability components such as HTTP rate limiters, internal DB schema migration tools, circuit breakers, and distributed Redis-based caching. Troubleshoot complex production issues, optimize PostgreSQL usage, and ensure our distributed systems remain performant and stable under high load. Lead preliminary investigations during severe production incidents: identify likely root causes, assess impact, and propose mitigation options. The long-term fixes are then implemented by the owning team, based on your findings. Create scalable, reusable tools and frameworks that help other engineering teams build more resilient services. Leverage AI-powered tools and coding agents to accelerate development, analyze architectures, and automate repetitive or error-prone tasks. Influence reliability best practices across engineering by sharing knowledge, reviewing designs, and setting high technical standards. Your Qualifications: Strong expertise with Java/JVM, building scalable, high-performance backend systems; open to leveraging other languages when appropriate. Solid understanding of distributed systems concepts, including high availability, CAP theorem, and fault tolerance. Deep experience with relational databases (PostgreSQL) and key–value / non-relational storages (Redis). Practical experience with containerization and cloud-native environments, including Docker and Kubernetes. Hands-on experience with message brokers such as RabbitMQ or Kafka. Ability to work independently with minimal supervision, using critical thinking to question assumptions and validate your own decisions. Strong written and spoken English skills suitable for collaborating in an international engineering environment. Standout Qualities: Background in infrastructure engineering or Site Reliability Engineering (SRE), including infrastructure-as-code practices. Experience leading technical initiatives, driving cross-team projects, and mentoring other engineers while remaining an individual contributor. Familiarity with observability and monitoring stacks (e.g., Graylog, Zabbix, Grafana) and/or data analytics tools such as BigQuery. A strong interest in how complex systems fail and a track record of designing them to recover gracefully. Team Dynamics: You will join the Backend Reliability (BRE) team, a small, highly specialized, senior group focused solely on Wrike’s reliability. The team operates as an internal “reliability task force,” partnering closely with product and platform engineering teams across the company. You’ll collaborate with other senior engineers who value autonomy, deep technical discussions, and rigorous engineering practices. The culture is ownership-driven: you are trusted to manage your time, make architectural decisions, and drive initiatives to completion. Our Work Style: The BRE team works on core backend and infrastructure services that support millions of users. We operate in a collaborative environment that values clear communication, thoughtful design, and fast feedback loops. Tech focus areas include: Java/JVM-based services, PostgreSQL, Redis, Docker, Kubernetes, RabbitMQ/Kafka, and observability/monitoring tools. We encourage the use of modern AI-based tooling and coding agents as part of daily development and troubleshooting workflows. Work is organized with an emphasis on impact and reliability goals rather than ticket volume, giving you room for deep work and long-term improvements. Hybrid work mode (Prague, Czech Republic / Nicosia, Cyprus), with flexibility to balance focused individual work and collaborative sessions. Benefits & Perks: 25 working days of paid vacation Sick Leave Compensation (5 Uncertified + 10 Certified Days) Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Life Insurance (Employees) Provident Fund Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Work Permit, Blue Card & Naturalization Support What’s next? Interview with a Recruiter Technical interview System Design Interview Cultural interview Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Implement Go-to-Market software for our marketing, sales, and agent development teams - Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichment, scoring, routing, and outbound activation - Own our enrichment infrastructure end-to-end: the pipelines that take a new signup, demo request, or event attendee list and return a fully enriched, scored, Salesforce-upserted record across Clay, ZoomInfo, Cognism, and LLM-powered sources - Build AI agents and AI-powered internal tools that compound sales team output — account research, call summarization, RFP and security questionnaire response, proposal generation, and Slack-accessible agents that surface account intel on demand - Build and improve the fit scoring pipeline that evaluates every account against our ICP and writes results to Postgres and Salesforce, including signal design, batching, retry logic, and continuous improvement of the underlying models - Develop data architecture using Postgres, Fivetran pipelines, and reverse ETL. Keep data jobs healthy and in sync with the tools that consume them; track downstream impact when schemas and apps change - Ship production code with PR review, observability, and proper error handling and debug production incidents (Salesforce platform failures, enrichment failures, LLM timeouts) WHAT YOU'LL BRING - 3+ years in GTM Engineering, Revenue Operations, Sales Engineering, Growth Engineering, or a closely adjacent technical role at a high-growth B2B SaaS company - Python and TypeScript skills: You write clean code, understand async patterns, can design a database schema, and can debug a production incident from logs alone - Hands-on experience inside a modern GTM stack (Salesforce, HubSpot, Outreach, Clay, enrichment providers): You understand how leads flow through a CRM and why data quality degrades over time - Production experience with LLMs: Prompt design, eval loops, error handling, and the difference between a demo and a system you can trust at scale - Strong working knowledge of SQL, schemas, and data flow across GTM and warehouse systems - Systems thinking: You’ve built data pipelines and think about what happens at 10x volume, when an API goes down, or when the same account hits your queue five times in parallel - Owner's mindset: You take accountability from code to deployment to adoption, define scope with minimal direction, and ship good solutions over perfect ones EVEN BETTER… - Built applications using LLMs, ideally with exposure to production-grade AI/ML systems - Developed custom Salesforce solutions using apex classes, apex triggers, LWC, SLDS - Integrated salesforce with other business systems using REST/SOAP APIs, Platform Events, and External Services OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Budapest 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: We are looking for an exceptionally strong software engineer to join our Technology organization at WorldQuant. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow — from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice. Design and build data pipelines and the data layer. Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale. Implement and enhance quant-related software systems for data, research, portfolio construction, and trading. Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions. Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation. Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows. Use AI coding assistants and agentic developer tools to ship higher-quality software faster. What You’ll Bring: Degree in a technical or quantitative discipline from a top tier institution. 3 to 8 years of working experience in software engineering. Demonstrated ability to program in Python (preferred) or C++ on Linux/Unix platforms, familiarity with scripting languages. Experience with effective code version control, as well as Continuous Integration and Deployment. Exceptional communication skills in both verbal and written form. Excellent problem-solving abilities and judgment with strong attention to detail. Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture. Motivated by the transformational effects of technology-at-scale. Experience with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial. Experience in finance is a plus but not required. What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams. #LI-MH1 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: Romania 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: Dubai, United Arab Emirates As an AI Infrastructure & MLOps Engineer at Müller’s Solutions for a 6-month contract, This role is primarily operations-focused (90%) , with hands-on involvement in implementation, configuration, and setup of AI infrastructure and MLOps workflows. You will play a key role in managing, operating, and guiding the deployment of a strategic AI environment , working closely with the customer as a technical advisor and hands-on engineer. What about the role responsibilities? Operate and maintain AI infrastructure and MLOps platforms in a production environment. Monitor, manage, and troubleshoot Kubernetes-based AI workloads. Perform Acceptance Testing Planning and Execution for AI infrastructure and platforms. Ensure stability, performance, and availability of AI systems. Support day-to-day operational tasks across compute, storage, and networking layers. Install and configure NVIDIA Enterprise AI Stack (NVAI) . Configure and manage MLOps platforms such as Kubeflow and MLflow . Assist in setting up end-to-end AI workflows , including data pipelines. Support the initial implementation phase of the AI environment. Act as a technical guide and advisor to the customer during the early stages of their AI adoption. Requirements What should you have to fit in this role? Technical Requirements AI / MLOps Stack Proficient experience with the NVIDIA Enterprise AI Stack Familiarity with Ubuntu Linux Experience with Kubernetes Knowledge of Kubeflow / MLflow Experience with QFLOW (an open-source AI data pipeline management tool) Programming & Automation 4–6 years of practical experience in: Python Jupyter Notebook / JupyterLab Competence in writing, testing, and maintaining operational scripts and AI workflows. Infrastructure Experience Practical experience with enterprise infrastructure, encompassing: Dell PowerScale (5 nodes) XE Server (1 node) Dell R570 Servers (5 nodes) Dell Network Switches (2 switches) GPU-based AI servers (in a small-scale environment) Environment Overview Initial implementation of AI Compact configuration: 1 GPU server 1 PowerScale 5 control plane servers Opportunity to shape best practices from the ground up To succeed in this role, it's nice to have: •   Familiarity with data frameworks like Apache Spark or Hadoop for data processing. •   Understanding of ML model monitoring and logging practices to ensure system reliability. •   Experience with security best practices in AI systems.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: The role involves forming technical hypotheses, designing targeted tests, analyzing system logs and low-level hardware data, and distinguishing between GPU, host, firmware, interconnect, thermal, and physical hardware failures. It requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions and repeatable troubleshooting procedures. This is a senior systems engineering role focused on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure. This engineer will work across Linux, GPU servers, PCIe, firmware, power, and cooling to determine the true root cause of issues that may not have an existing troubleshooting procedure. What skills we expect you to have: Minimum 5 years of hands-on systems engineering experience across Linux, server hardware, firmware, PCIe, and GPU or high-performance computing platforms. Extensive Linux experience, particularly using Linux as an environment for hardware debugging, system-level troubleshooting, and platform investigation. Knowledge of the Linux kernel and experience with kernel-level debugging or troubleshooting. Strong knowledge of modern server architecture, particularly in high-performance, GPU-based environments. Strong knowledge of NVIDIA GPU platforms and diagnostic tooling, including nvidia-smi, XID and SXID analysis, GSP and driver behaviour, NVLink, NVSwitch, Fabric Manager, DCGM diagnostics, and NCCL testing Deep knowledge of PCIe, including topology, enumeration, root complexes, endpoints, switches, bridges, retimers, link speed and width, AER and DPC errors, completion timeouts, and link failures. Candidates should understand how protocol-level errors can relate to physical-layer or signal-integrity problems. Experience benchmarking systems for performance, stability, power efficiency, thermal behaviour, and workload characteristics In depth understanding of firmware interactions across BIOS/UEFI, BMC, CPLD/FPGA, GPU firmware, NIC firmware, and other platform components. Experience with low-level hardware communication and debugging using I²C, SMBus, PMBus, register maps, bit masks, byte- and word-level data, and device datasheets. Demonstrated ability to troubleshoot complex hardware, software, and networking issues. Experience with deep problem investigation, root cause analysis, and performance optimization in cloud or high-performance computing environments. Strong analytical and problem-solving skills with a performance-first mindset. Scripting and automation using various languages (Python\Go) Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Compensation We offer a competitive salary ranging from $179,500- $224,300 + quarterly performance bonuses. Join Nebius Today! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Jose, California, United States 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 The Accounting Manager will support the end-to-end close lifecycle for our San Jose operations, driving accuracy and efficiency across journal entry preparation, reconciliations, and analysis. This role serves as a key pillar in the finance department, supporting critical month-end and year-end close activities while ensuring strict compliance with internal policies and tax regulations. As a proactive problem-solver, you will not only manage cross-functional queries and audit documentation but also identify strategic opportunities to automate workflows and streamline close processes within a fast-paced, complex organizational environment. What You’ll Be Doing Support accounting and financial reporting operations for regional subsidiaries Support month-end closing, including revenue recognition, cost allocation, and intercompany transactions for local entities, in alignment with group reporting requirements Prepare monthly, quarterly, and annual financial reports to support external audits, regulatory compliance, and internal management reporting Further develop internal control frameworks to ensure accuracy, compliance, and timely completion. Develop effective and automated processes for financial reporting and analytics Partner with cross-functional teams to align financial goals with business objectives Proactively manage compliance reporting requirements, including accounting, tax, and regulatory notifications across relevant jurisdictions What We Look For In You Degree in Accounting or Finance 5+ years of relevant experience in the financial services, fintech, or crypto industries Deep understanding of accounting standards (GAAP, IFRS) and tax regulations Strong capability to translate complex data into accurate financial accounting and reporting The skillset to work within the demands of a fast-paced startup environment Experience leading complex projects end to end involving multiple stakeholders Ability to exercise sound judgment and clearly communicate outcomes to senior management Self-starting problem solver, able to identify and execute new tasks proactively and complete projects with minimal direction Perks & Benefits Competitive total compensation package Hybrid role – Working in our downtown San Jose office Comprehensive healthcare schemes for employees and dependents Wellness programs, team events, and employee engagement initiatives More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $107,000 - $145,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. 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 .