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Location: Paris; London Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As an AI Scientist, you will push the boundaries of AI by developing and scaling cutting-edge models. This role exists to advance Mistral’s mission of democratizing frontier intelligence, enabling businesses and consumers to benefit from open, high-impact AI systems. You will collaborate with a global, cross-functional team to design, build, and deploy models that solve real-world problems across reasoning, code, and multimodal applications. Your work will directly shape how AI integrates into daily life and enterprise operations. WHAT YOU WILL DO - Research and develop novel methods to advance the capabilities of LLMs. - Design and implement tooling and infrastructure for training, evaluating, and analysing AI models at scale. - Collaborate with scientists, engineers, and product teams to ship AI systems with tangible impact. - Explore and innovate across use cases such as reasoning, code generation, and agent-based systems. - Work with multimodal data, including text, image, and speech, to expand model capabilities. - Optimise distributed systems to improve the efficiency and scalability of model training. - Contribute to the open-source community by releasing frontier models for public use. WHAT WE'RE LOOKING FOR - A track record of contributing to relevant scientific domains, such as publications or open-source projects. - Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes. - Proficiency in at least one programming language, such as Python, Rust, Go, or Java. - Ability to design complex software systems and transition them into production environments. - Experience with training large transformer models in a distributed setting. - Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment. - A self-starter mindset with the autonomy to drive projects forward and collaborate effectively in a team. - Strong engineering competence, with a focus on building scalable and reliable systems. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: New York Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   We are seeking passionate and skilled software engineers to join our new team in NYC. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You’ll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff engineers who are eager to learn, collaborate and ship impactful products.   What You Will Do   Depending on your skills and field of expertise, you will be involved in key components of our technology, including:   Backend Development - Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. - Ensure high performance and reliability across our distributed systems. - Contribute to systems powering inference, billing, AI tooling, observability, and developer experience. System Architecture - Design and implement efficient, secure and scalable architectures that support our fast-growing products. - Collaborate with infrastructure teams on deployment, monitoring, and performance optimization. Code Quality - Write clean, maintainable and well-documented code. - Participate in code reviews and contribute to technical standards and best practices. Cross-functional Collaboration - Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users. - Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience. Problem-Solving & Innovation - Tackle complex engineering challenges, from distributed systems to AI product integration. - Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.   What We're Looking For   • Degree in Computer Science, Software Engineering, or equivalent practical experience. • Proficiency in Python or another backend language (Golang, Kotlin, C#). Engineers are assessed in their preferred language during a live coding session. • Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures. • Strong problem-solving abilities and attention to detail. • Ownership mindset capable of shipping end-to-end features with minimal oversight. • Excellent communication skills and collaborative attitude. • Team-oriented, low-ego mindset and curiosity for learning.   Now, it would be ideal if you had experience with: • Full-stack exposure • Working closely with an API & developer ecosystem • Deploying software to a diverse set of environments (cloud, on-premises, etc.) • Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...) • AI/ML engineering • Observability and monitoring tools (Prometheus, Grafana, Datadog…). • UX and product-centric mindset.   Hiring Process   • Introduction call - 30 min • Live-coding interview - 45 min • System Design interview - 45 min • Hiring Manager interview - 30 min • Deep Dive Interview (only for leads & staff engineers) - 60 min • Culture-fit discussion - 30 min • Reference checks   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. With over 180,000 business customers, Enterprise Password Manager is 1Password's core product. It is rapidly evolving into a complete credentials security platform for humans, machines, and AI agents. This is a Senior Staff PMM role. Individual contributor with broad organizational visibility. You’ll report to the Director of Product Marketing and own EPM end-to-end: messaging, positioning, competitive strategy, and launch execution. You will shape how the market understands credentials security as 1Password grows. How we’re using AI today On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity within Canada and the US. What we're looking for: Experience and Domain Expertise - 7+ years of B2B SaaS product marketing, with direct experience in password management, enterprise vaulting, credentials security, or identity security. - Working knowledge of broad cybersecurity concepts. - You've repositioned a mature enterprise product. You know the difference between a messaging refresh and actually shifting how the market thinks about something. - You can market to enterprise IT and security buyers: the admin managing rollout, the CISO approving the spend, and the security engineer evaluating the technical depth. - A track record of winning in competitive markets by displacing incumbents, not just differentiating in an open field. Technical Depth - You understand how credentials work beyond passwords: API keys, certificates, machine secrets, passkeys, and what it takes to issue credentials to AI agents. - Working knowledge of enterprise IT: MDM, SSO, directory services, and where password management fits in the IAM stack. AI-Forward, Not AI-Dependent - You use AI to go faster, not to think less. You know what to hand off and what to own, and you can tell good output from output that still needs work. - You want AI to free up time for the work only a good product marketer can do: strategy, judgment, and narrative. - You own the ideas you bring. Walk into a room with a recommendation and you can defend it. Candidates who produce content but can’t explain the thinking behind it won’t fit here. Strategic Storytelling and Senior-Level Communication - You write for multiple audiences without diluting the message. An IT admin and a CISO aren't reading the same document for the same reason. You know how to serve both. - Strong narrative instincts: open with the problem, build to the solution, and land in a way that makes the reader feel the product was built for their situation. - You’ve shaped category narratives, not just contributed to them. Bonus points for: - Security certifications (CISSP, Security+, or similar). - Experience developing thought leadership in a fast-moving category. 1Password has a team that produces content. This role provides the point of view. - You've repositioned an established product category. There's a real difference between entering a space and redefining it. What you can expect: Own EPM Product Marketing - Own messaging, positioning, and launch strategy for the Enterprise Password Manager. - Define how 1Password talks about credentials security for employees, service accounts, and AI agents. - Tell the story clearly to analysts, IT buyers, security leaders, and sellers. The narrative has to work for practitioners and executives. - Connect EPM’s story to the Unified Access platform narrative. Build Competitive Intelligence and Category Positioning - Own positioning and market leadership claims for EPM. - Partner with Solutions Marketing on competitive differentiation. Know the competitive set cold: where they’re strong, where they’re not, and how to win against each. - Track where the credentials security market is moving and keep 1Password’s messaging ahead of it. Enable the Field with Tools That Actually Get Used - Produce discovery decks, battlecards, objection-handling guides, and technical briefs that sellers and SEs reach for because they work. - Take complex concepts like passkeys, machine credential lifecycle, AI agent authentication, and zero-knowledge architecture and make them usable in a customer conversation. - Surface win/loss signals from the field and turn them into repeatable GTM motions, not one-off documents. Influence EPM Product Strategy - Bring the market's perspective to Product: customer evidence, analyst intelligence, competitive signals, field feedback. - Make the market case early, before decisions are locked. Why join us: - The credentials security market is being reshaped by machine identities and AI agents. You'll own how 1Password tells that story. - You'll work across product strategy, competitive positioning, and field execution. The work is visible at the executive level. - 1Password is remote-first and has been since day one. We hire for judgment, not proximity. - The company is growing and there's room to shape how PMM works here, not just execute what's already been defined. USA-based roles only: The annual base salary for this role is between $180,000 USD and $261,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $152,000 CAD and $220,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable device tracks key physiological metrics such as heart rate variability, resting heart rate, and sleep quality to provide personalized insights into users' fitness, health, and recovery.  As a Backend Software Engineer II, you will build on WHOOP’s generative AI capabilities to develop and maintain exciting, member-facing features that drive meaningful health outcomes. You will play a vital role in delivering personalized insights across WHOOP and work alongside experienced engineers, designers, and product managers to help members better understand their health, optimize performance, and gain clarity throughout their WHOOP journey. RESPONSIBILITIES: - Collaborate with cross-functional team including Product, Design, Analytics, and Data Science to gather technical requirements and deliver impactful infrastructure and tools - Leverage Java, Kafka, AWS, and PostgreSQL to deliver scalable and reliable software solutions and features - Consistently deliver high-quality code, adhering to best practices in software design and development - Develop and maintain observability and monitoring systems to ensure the stability and reliability of deployed features QUALIFICATIONS: - 2-4 years of backend software development experience, ideally in languages like Java - Familiarity with asynchronous processing systems (Kafka, SQS) - Experience in backend development, working on large-scale software systems and RESTful API design - Experience in relational database design and development (PostgreSQL) - Experience with scalable system design and performance optimization - Strong independent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment - Excellent communication skills and a commitment to delivering high-quality work - A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $125,000- $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Boston, MA Workplace: OnSite WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.  We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: - Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. - Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities. - Develop scalable, distributed training pipelines for large models on high-performance compute environments. - Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. - Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value. - Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP. - Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. - 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems. - Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.  - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).  - Familiarity with training models on  mulit-node, multi-gpu distributed compute environments.  - Familiarity with best practices for data, model, and context parallelisms. - Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications. - Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).  - Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute. - Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams. - Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Americas Remote Hi, I'm Manu, Engineering Manager at Customer.io . We're looking for experienced backend engineers who want to build and own the infrastructure that powers one of the most data-intensive platforms in marketing automation — systems that process millions of events per second, orchestrate complex workflows at scale, and keep everything running reliably for thousands of customers worldwide. You'll work on the Platform team, tackling hard distributed systems problems: designing for fault tolerance, scaling services under real production pressure, and building the foundational layers that every other team at Customer.io depends on. This isn't just maintenance work — you'll shape the architecture of systems that need to be both highly available and constantly evolving. If you're someone who gets energized by the intersection of scale, reliability, and developer experience — and wants ownership over infrastructure that truly matters — we'd love to talk. What you'll bring: Deep experience with distributed systems and large-scale backend architecture Strong instincts around reliability, observability, and fault tolerance Comfort reasoning about performance, capacity, and trade-offs at scale Experience with event-driven systems, message queues, or data pipelines is a plus A collaborative mindset — you raise the team around you About Customer.io Over 9,000 companies - from scrappy startups to global brands - use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence. What We Value Ownership You drive technical direction across systems and teams. You move with urgency, build with empathy, and think long-term. You’ve led large-scale infrastructure initiatives and know what it takes to get them over the line. Engineers with customer focus You think about how infrastructure unlocks customer value. You care about developer experience, system design, and how your work shapes the customer experience. A healthy disregard for “the way things are done” You bring rigor and creativity. Best practices matter, but never more than forward motion. What You’ll Do Design and evolve distributed systems in Go to handle billions of daily events and messages and store and index petabytes of data Lead architectural decisions around performance, reliability, and real-time event processing Improve service-to-service communication through better APIs, messaging systems, and event-driven patterns Work across teams to uncover bottlenecks and system issues, and lead initiatives to resolve them for a smoother customer experience Tackle high-throughput challenges across data pipelines, queues, and scheduling infrastructure Able to debug production systems at scale using effective instrumentation, and resolve issues quickly and confidently Participate in an on-call rotation as required, supporting the reliability of the systems you build Share knowledge and raise the bar through sharing your progress publicly with short videos, thoughtful writing, and mentorship Leverage AI tools to prototype, move faster, and make better decisions What we're looking for Significant experience (typically 10+ years) building scalable, distributed systems in Go (or similar statically typed languages) Deep experience with databases - relational (MySQL, Postgres) and non-relational (DynamoDB, BigTable) - and how to make them fast Comfort working in cloud-native environments (AWS, GCP) Familiarity with APIs, observability, and operating production systems A bias for action over perfection, and pride in owning technical decisions Compensation & Benefits We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Tell us why you're interested. Recruiter Call (30 mins) - Let’s chat about what you’re looking for and how we work. Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise. System Design Interview (60 mins) - A collaborative system design conversation focused on scaling challenges. Coding Interview (60 mins) - Pair with one of our engineers for an agentic live coding interview. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read and want to build software that makes communication better for everyone—apply now.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are seeking our second IT Engineer to join our growing team in San Francisco. Our team laid the foundation for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS administration, with room to shape how we manage our fleet, identity, SaaS stack, and the automation that runs the business. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team.   WHAT YOU'LL DO Infrastructure & Automation - Build and maintain our IT infrastructure and tech stack that scales with LangChain’s rapid growth - Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools - Implement monitoring and documentation practices that enable operational excellence Client Platform Engineering - Reimagine how we deploy, configure, and manage our Mac fleet. MDM (Iru) is the foundation, not the entire solution however. - Design and build a secure, reliable, and maintainable desktop environment that replaces our current patchwork of one-off scripts with version-controlled, testable, and repeatable systems - Own our approach to custom security controls and application deployment across the fleet, so updates and configuration changes are consistent and easy to roll out at scale - Build the fleet management systems now so they hold up as headcount, and the fleet, keep growing Security & Identity Management - Drive our identity strategy, implementing secure, scalable access controls following the principle of least privilege - Identify and implement security enhancements across our SaaS stack - Partner with our Security team to drive improvement of our enterprise security posture SaaS Administration - Administer and optimize our growing SaaS stack, managing provisioning, access controls, and lifecycle management - Become IT's central administrator for LangSmith, our own product, developing deep fluency in its administration surface - Build automated workflows for LangSmith administration using its API paired with our automation tooling, reducing manual, toil-heavy admin work - Help IT stay fluent across the internal tools we run and support, including the LLM Gateway. Another LangChain product. Core IT Operations - Provide support to employees globally across hardware, software, networking, and IT tools - Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one   WHAT YOU'LL BRING - 5+ years of experience in IT engineering and systems administration - Deep proficiency with Okta and Okta Workflows - Fluency in at least one general-purpose programming language (Python, JavaScript, or similar) with demonstrated ability to write production-quality scripts and automation - Versed in the us of REST APIs, webhooks, and API authentication methods; you should be comfortable reading API documentation and building integrations between systems - Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations - Hands-on experience with IaC using Terraform to manage and provision IT infrastructure and applications, and comfort applying changes within an existing Terraform codebase - Experience using coding agents (e.g. Claude Code) as part of your day-to-day engineering workflow to build and ship automation faster - Strong experience with a modern tech stack that includes Google Workspace, Slack, Notion, Claude, ChatGPT - Solid understanding of MDM platforms, and ideally experience going beyond baseline MDM with fleet/configuration management tooling to manage a fleet's security and application needs - Experience administering a large or complex SaaS stack, ideally including internal or AI/LLM-based products - Strong networking fundamentals (TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN/WAN)   - Annual salary range: $150,000-$170,00 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Zurich ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role As an AI Scientist, you will push the boundaries of AI by developing and scaling cutting-edge models. This role exists to advance Mistral’s mission of democratizing frontier intelligence, enabling businesses and consumers to benefit from open, high-impact AI systems. You will collaborate with a global, cross-functional team to design, build, and deploy models that solve real-world problems across reasoning, code, and multimodal applications. Your work will directly shape how AI integrates into daily life and enterprise operations. What will you do   • Research and develop novel methods to push the frontier of large language models • Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech) • Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale • Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact   What We're Looking For   • You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java) • You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes) • You have high engineering competence. This means being able to design complex software and make it usable in production • You are a self-starter, autonomous and a team player   Now, it would be ideal if   • You have hands-on experience with training large transformer models in a distributed fashion • You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment • You have a strong publication record in a relevant scientific domain   Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Limassol Cyprus Workplace: OnSite Scorewarrior is a game developer and publisher based in Limassol, Cyprus. The company focuses on the 4X strategy genre, with an ambitious goal to grow its hit game, Total Battle, to become the No.1 strategy game in the world. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. Our product: We are currently working on Total Battle — an MMO 4X strategy game with a deep political system and lots of player interaction. Players take on the role of a commander and need to develop their city, forge alliances, fight against monsters, and conquer other players. We're constantly developing new game mechanics, and the project is continuing to grow.   We are looking for a Senior Backend Developer to join the Framework Team building tools used by fellow engineers and powering game services across the company. You will work with modern C++ (17/20), asynchronous systems, network communications (S2S), high-load services, and distributed architectures.   WHAT DO WE DO: - Design and develop core SDK/framework modules with clean abstractions to enable simple, fast, and high-quality game logic development. - Gather requirements and design APIs, protocols, and service-to-service interaction contracts. - Build asynchronous and multithreaded code with high performance in mind. - Work with S2S communications: idempotency, transactions, and guaranteed delivery in distributed systems. - Design and evolve ORM and data persistence layers (PostgreSQL, Redis). - Ensure scalability, stability, and fault tolerance of backend services. - Work with legacy code—simplify, refactor, and increase reliability without downtime or production risks. - Implement observability: metrics, logs, tracing. - Improve developer tools and DevEx — CMake, Conan, Python tooling, CI/CD scripts, Docker. - Participate in code reviews, architectural discussions, mentoring, and R&D exploration.   WHAT WE EXPECT: - Ability to gather requirements, design solutions, break down work, and deliver to production independently. - 3+ years of backend development experience on a statically typed language under Linux. - 3+ years of commercial experience with C++17/20. - Strong knowledge of asynchrony and multithreading (threads, futures, coroutines, atomics). - Understanding of network communication (REST/RPC (gRPC), HTTP, WebSocket, TCP). - Hands-on experience with PostgreSQL (DDL/DML, transactions, indexes, migrations). - Solid software design skills: Software Design, SOLID, Clean Code, IoC/DI, composition, GoF patterns. - Experience working with distributed and high-load systems. - Understanding of System Design: scaling, degradation, caching, SLA/SLO/SLI. - Experience with CI/CD, containers, and build systems (CMake, Docker, Jenkins/GitLab). - Familiarity with testing and performance tools (GTest, Valgrind, Perf, Sanitizers). - English - B1 or higher, Russian - B2 or higher.   WHAT WE OFFER: - The best team in the world! - An excellent remuneration package, including a 13th salary. - Relocation package for you and your family to Cyprus (Limassol). - A modern and sunny office close to the sea. - Private health insurance for you and your family members. - A monthly pre-school, school, and university allowance for employees' children. - Lunch compensation and a sports and fitness allowance. - Personal development opportunities paid for by the company: professional and language courses, books, etc. - Bonuses for outstanding results, years worked, getting married, and the birth of a child. - Friendly monthly office parties and epic, annual offsite company birthday and Christmas parties.

Location: Paris; Amsterdam; Warsaw; Munich; London; Berlin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform. - Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence. - Drive continuous improvement in infrastructure automation, deployment, and orchestration. - Collaborate with software engineers to enable safe and reproducible model-training experiments. - Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in a DevOps or SRE role, with strong expertise in bare metal infrastructure and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Site Reliability Engineer (SRE) on the Platform team, you will shape the reliability, scalability, and performance of our platform and customer-facing applications. You’ll work closely with software engineers and research teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role balances day-to-day operations on production systems with long-term software engineering improvements. Your work will reduce operational toil, foster reliability, and ensure high availability for our web services, inference environments, and ML workloads. You’ll enable seamless replication of work environments across multiple HPC clusters, directly impacting the stability and efficiency of our AI platform. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support web services and ML workloads. - Ensure our platform, inference, and model training environments are always highly available and enable seamless replication across HPC clusters. - Operate systems and troubleshoot issues in production, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis. - Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, and Terraform. - Collaborate with AI/ML researchers to enable safe and reproducible model-training experiments. - Build a cloud-agnostic platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Work with the security team to ensure infrastructure adheres to best practices and compliance requirements. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 7+ years of experience in a DevOps or SRE role, with strong expertise in cloud computing and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary    As our Banking / Financing Legal Counsel, you will work side by side with our corporate counsel and directly under the Head of M&A and Finance Legal Counsel, based in Paris.  In close collaboration with our Finance and Business teams, you will be instrumental in structuring, drafting, and negotiating the financing transactions that fuel Mistral's external growth — from compute infrastructure and data center investments to strategic company acquisitions. Key responsibilities Financing Transactions   • Structure, draft, negotiate, and close transaction documentation on non-dilutive financing transactions, including corporate loans, asset-backed financings, and project finance deals supporting our infrastructure and compute investments. • Act as the primary legal point of contact for banking and financing counterparties, working with LMA-standard documentation and bespoke structures alike. • Advise on financing structures for data center and compute infrastructure projects. • Coordinate with external law firms on cross-border financing structures and manage multi-jurisdictional transaction teams.   Cross-functional Partnership   • Partner daily with the Finance team (Treasury, FP&A) to ensure financing solutions are aligned with Mistral's capital strategy and operational needs. • Collaborate with M&A, Compute, and Business teams to support deal-specific financing structures. • Provide practical, hands-on legal guidance that enables the business to move fast while limiting legal risks. Legal Infrastucture • Build and maintain internal templates, precedents, and guidelines for financing documentation. • Support on ancillary legal topics as needed, including corporate compliance, insurance, and Sapin II-related matters. Qualifications and skills   • Bachelor degree or above (LLB, LLM, Juris Doctor preferred) from an accredited law school in France or another EU country. Admission to practice law in at least one other jurisdiction, in particular in the USA, would be a plus. • A minimum of 7 years of relevant legal experience, including a minimum of 4 years in an international law firm. • Proven track record in structuring and negotiating non-dilutive financing deals, including corporate loans, bridge facilities, asset-backed and project finance transactions. Familiarity with LMA standard documentation is required. • Strong experience in project finance or infrastructure financing, particularly deals involving long-term capex or compute and data center infrastructure, is highly valued. • Demonstrated ability to navigate cross-border structuring questions and multi-jurisdictional financing deals, including coordinating with local external counsel. • Excellent written and verbal communication in both English and French. Strong ability to present complex legal concepts in a clear and understandable manner to non-legal stakeholders. • Sharp business acumen, honed through direct experience working within businesses — ideally across multiple industries — where you have delivered measurable impact and demonstrated a deep understanding of operational and strategic priorities. • Great negotiation skills, with a history of successfully leading critical discussions with banks, investors, and infrastructure partners, balancing assertiveness with collaboration, and maintaining positive, long-term relationships with all stakeholders. • An understanding of the tax implications of financing and structuring, allowing you to optimise outcomes and mitigate risks. • Knowledge and usage of Artificial Intelligence: an understanding of AI technologies, including machine learning, natural language processing and their applications, is important. • Analytical Skills: ability to analyse complex cross-border structuring questions, their interactions with financing topics, and to identify potential legal risks and solutions. • Adaptability: proactive, flexible, and able to manage multiple priorities in a fast-paced environment. • Ethical Awareness: a strong understanding of ethical considerations related to AI, such as fairness, transparency, accountability, and bias mitigation, is important. • International mindset: international experience is a plus.     WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Ukraine; Latvia; Croatia; Czech Republic; Slovenia; Romania; Bulgaria; Kazakhstan; Poland; Hungary; Estonia; Cyprus; Lithuania; Greece; Serbia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Performance Marketing Lead (Google & Microsoft Ads), to lead and scale our advertising across the Ruby Labs portfolio. This is a senior player-coach role. You will own Google Ads and Microsoft Ads execution across multiple brands, coach and develop acquisition managers, set account standards, improve performance, and protect account health across a large multi-brand setup. You will be responsible for scaling spend profitably across Search, Performance Max, Demand Gen, YouTube, and Microsoft Ads. You will conduct regular account audits, identify missed opportunities, and make sure every brand is using Google and Bing to their full potential. This is not a reporting-only leadership role. You need to stay close to the accounts, understand the details, and be able to challenge strategy, structure, bidding, compliance, measurement, and execution yourself. We also work AI-first. You will own the Google and Bing acquisition knowledge base inside Claude, including playbooks, audit frameworks, prompts, automations, QA checklists, and repeatable workflows that help the team operate faster and better. KEY RESPONSIBILITIES - Portfolio Performance - Scale profitable spend across multiple brands, geos, languages, and funnels. - Manage CPA, ROAS, CAC, and payback against real revenue data, not surface-level platform metrics. - Conduct regular account audits across all brands to identify gaps, missed opportunities, inefficient structures, underused campaign types, weak signals, and scaling potential. - Make sure every brand is fully utilizing Google and Microsoft Ads opportunities across Search, Performance Max, Demand Gen, YouTube, and Microsoft Ads. - Work with Managing Directors and UA Managers to translate brand targets into practical Google and Bing execution. - Own channel-level recommendations for budget allocation, account structure, bidding approach, testing priorities, and scale-up opportunities. - Partner with Google and Microsoft teams on betas, new campaign types, product changes, escalation paths, and platform-level opportunities. Team Leadership - Coach, teach, and develop acquisition managers working on Google and Microsoft Ads. - Hire, onboard, manage, and, where necessary, make replacement decisions for Google and Bing acquisition talent. - Own performance evaluation, goals, KPIs, feedback cycles, and personal development plans for the Google and Bing team. - Set the performance bar and craft standards for the team. - Review account work, train UA managers, and raise the overall quality of execution. - Make sure every brand has clear ownership, weekly reporting, and strong channel support. - Stay hands-on enough to audit accounts, challenge decisions, and guide execution from real account data. Account Architecture & Governance - Define standards for account structure, naming, conversion architecture, bidding, testing, reporting, documentation, and QA. - Review major account changes before launch and make sure changes are hypothesis-driven, measured, and documented. - Run monthly account audits across all Google and Microsoft Ads accounts. - Maintain clean documentation so account knowledge, automations, tests, and learnings are not dependent on one person. - Build repeatable standards that UA managers can follow across brands without losing brand-specific context. Policy & Compliance - Own Google and Microsoft Ads policy and compliance across all Ruby Labs brands. - Protect account health across all brands. - Own policy workflows for ad review, disapprovals, appeals, account restrictions, and escalation. - Work closely with brand teams on ad-to-landing-page consistency, claims, pricing, funnel compliance, and policy-sensitive testing. - Build prevention-first processes so policy issues are caught before launch. - Maintain direct escalation paths with Google and Microsoft representatives. - Have the authority to block launches that create material account or policy risk. AI-First Operating System - Own the Google and Bing acquisition knowledge base inside Claude, including playbooks, SOPs, audit frameworks, campaign QA checklists, prompts, and reusable workflows. - Design AI-assisted workflows for keyword research, campaign builds, audits, QA, reporting, opportunity discovery, and optimization review. - Train UA managers to use Claude workflows correctly and consistently in their daily Google and Bing work. - Evaluate workflow quality, improve the knowledge base over time, and turn successful processes into repeatable team standards. - Use AI to increase team speed and quality while keeping human judgment, compliance, and account safety at the center. QUALIFICATIONS - 7+ years of hands-on paid search experience. - Experience coaching, leading, hiring, and evaluating Google Ads specialists, UA managers, or paid search teams. - Direct ownership of large Google Ads budgets, ideally $5M+ per month hands-on and $10M+ per month at portfolio level. - Strong Search, Performance Max, Demand Gen, and YouTube experience. - Microsoft Ads experience, including Microsoft Audience Network. - Proven record scaling accounts profitably across multiple countries and languages. - Strong understanding of subscription economics: LTV, CAC, ROAS, payback windows, cohorts, and value-based bidding. - Deep Google Ads policy experience, including disapprovals, appeals, account restrictions, and compliance-heavy environments. - Strong account architecture, audit, documentation, and measurement discipline. - Ability to identify scaling opportunities and practical account improvements from account-level data. - Clear, direct communication with both acquisition managers and senior stakeholders. Strong Advantage - Experience managing enterprise-level search accounts or large multi-brand paid search portfolios. - Experience with Google Ads scripts, Google Ads API, SQL, or internal automation tools. - Experience building Claude, AI, or agentic workflows for marketing operations. - Experience building team knowledge bases, SOPs, QA systems, and training programs for paid acquisition teams. - D2C subscription, lead-gen, or consumer web funnel experience. - Experience with high-scrutiny categories, trademark-sensitive ads, or complex policy environments. - Experience working directly with Google or Microsoft teams on betas, product pilots, and escalation paths. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Paris; London Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE   As a Solution Operations, you will serve as a strategic business partner to our Solution team. This team, composed of AI Deployment Strategists, Infrastructure Solution Architects, and Applied AI Engineers, designs, deploys, and optimizes AI solutions that directly solve our enterprise customers’ most complex challenges.   You will drive the end-to-end staffing strategy, ensuring alignment between business priorities, operational constraints, and talent deployment. Your mission is to optimize staffing efficiency, reduce time-to-staff, and build scalable processes that enable Mistral to deliver exceptional value to our customers.   It’s a high-impact, hands-on position at the intersection of strategy, operations, and execution. You will work closely with Solutions leadership to develop data-driven staffing plans, align capacity with demand, and implement frameworks that match skills to customer needs. Your work will directly accelerate Mistral’s ability to scale its technical pre-sales and post-sales motions while maintaining operational excellence.   WHAT YOU WILL DO   Worldwide Strategic Staffing & Capacity Planning - across all geographies • Develop and execute a forward-looking staffing strategy aligned with business forecasts and needs, including resource allocation, staffing ratios across regions, and technical deployment metrics. • Build and maintain a prioritization framework for recruitment (role type, geography) to ensure the Solutions team is staffed for high-impact customer engagements. • Accelerate time-to-value by minimizing time-to-staff through efficient matching systems between skills and customer requirements. • Act as a strategy partner to the Director of Solutions, providing insights on organizational design, role evolution, and scaling plans.   Data-Driven Staffing Optimization • Identify and operationalize key metrics to measure staffing efficiency, team utilization, and impact on customer success and revenue. • Create and maintain reporting mechanisms to track staffing KPIs, including time-to-staff, skill gaps, and deployment success rates. • Synthesize and implement actionable recommendations to improve staffing processes and cross-functional alignment.   Scalable Staffing Systems & Automation • Design and implement scalable processes, automations, and tools to streamline talent deployment and reduce operational friction.  • Optimize the Mistraler lifecycle (onboarding to project allocation) by ensuring seamless transitions and maximizing team productivity.  • Identify and eliminate bottlenecks in staffing workflows, leveraging automation to enhance agility and responsiveness to customer needs.   Cross-Functional Collaboration • Partner with Sales, Product, Revenue Operations, Talent Acquisition and HR to align staffing capabilities with customer demands and business priorities. • Support the development of the Solution team offerings and technical engagement models that maximize customer success. • Collaborate with Product teams to ensure Solutions team feedback is integrated into the product roadmap. Prepare materials for executive reviews, highlighting project successes, challenges, and strategic recommendations.     WHAT WE'RE LOOKING FOR   • 3+ years of experience in strategic operations, staffing, chief of staff or resource management within technical sales, solutions engineering, or professional services environments. • Proven track record in optimizing processes, impacting business KPIs, and aligning resources with business priorities. • Experience in staffing, resource management, or talent deployment is a strong plus. • Strong analytical skills, with experience in Salesforce, data warehouses, and BI tools (e.g., Looker, Hex, BigQuery). • Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities. • Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments. • Technical acumen: understanding of AI implementation, use cases, and scaling challenges is a strong plus. • Bachelor’s degree required; MBA or advanced degree preferred. • Fluency in English (native level); additional European languages are a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Zurich; Warsaw; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary   As a Research Engineer on the software side, you will design and harden the codebase, tools and distributed services that let our scientists train and ship frontier-scale models. You do not need prior ML experience; what matters is writing clean, reliable code that scales.   You will join our Research Software Engineering team to build and maintain shared dev-tools, evaluation & data pipelines, training framework, cluster tooling and CI/CD.   Location: Paris / Warsaw / Zurich / London (hybrid) or remote EU/UK with one hub visit per month. What will you do   • Accelerate researchers by owning the complex parts of large-scale pipelines and delivering robust internal tooling. • Interface research with product: expose clean APIs, automate model pushes, surface live metrics. • Write efficient, well-tested Python and systems code; enforce code review, CI, and observability. • Design and optimise distributed services (Kubernetes / SLURM, thousands-of-GPU jobs). • Prototype utilities (CLI, dashboards) and carry them through to stable, shared libraries.   About the Research Engineering team Based in Paris and London, our REs move fluidly along the research ↔ production spectrum. Engineers can rotate between Platform and Embedded tracks as their interests evolve.   About you   • Master’s in Computer Science (or equivalent experience). • 4 + years building and operating large-scale or distributed systems. • Strong software-design instincts: modular code, tests, CI/CD, observability. • Fluency in Python plus one systems language (C++, Rust, Go or Java). • Hands-on with container orchestration and schedulers (Kubernetes / K8s, SLURM, or similar). • Comfortable profiling performance, optimising I/O, and automating workflows. • Self-starter, low-ego, collaborative, high-energy.   Nice-to-haves   • Exposure to ML workloads or data-processing pipelines. • Experience with GPU clusters or CUDA. • Open-source contributions or widely used internal tools. Location and Remote This role is primarily based at one of our European offices (Paris, Warsaw, Zurich and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office: • for the first week of their onboarding (accommodation and travelling covered) • then at least 3 days per month WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral    At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   Role Summary:   As our Enterprise Sales Executive, you will be instrumental in shaping Mistral’s adoption with our largest customers across a variety of industries. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.   What you will do:   Lead development (strategic outbound and qualified inbound): - Handle strategic outreach as well as warm introductions to promising enterprise customers - Converting inbound deals where upselling / more bespoke agreements can be achieved   Value prop validation for customer: - Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process - Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts   Deal management & closing: - Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level) - Handle customer negotiation end2end, together with our legal and implementation specialist team   Executive Engagement: - Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations - Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives   Technical Aptitude: - Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients - Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase - Collaborate with our technical team to address any customer inquiries or concerns   Training and enablement: -Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities   Who you are:   - 7-10 years experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product) - Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field - Significant work experience within AI ecosystem or related data/infrastructure field - Experience at successful fast growing startup, ideally in deep-tech - Strong technical skills to navigate quickly evolving products and steer technical discussions - Excellent English & French, additional language welcome (e.g. German, Spanish, etc.) - Outstanding negotiation and communication skills   What We Offer:   💰 Competitive cash salary and equity 🥕 Food : Daily lunch vouchers 🥎 Sport : Monthly contribution to a Gym pass subscription  🚴 Transportation : Monthly contribution to a mobility pass 🧑‍⚕ Health : Full health insurance for you and your family 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship   By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Cyprus - Remote 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. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience. As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product. Your Impact: Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback Communicating with fellow data scientists, product owners, and developers Applying best software engineering practices to build a reliable codebase Performing code reviews Working in agile environment and presenting the results of your work on regular sprint reviews Your Qualifications: 4+ years of experience in AI,  Data Science, and Machine learning Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics Experience in building complex multipart and multistep LLM-based and ML systems Proficiency in Python (including pure Python, and not only jupyter notebooks) Experience in using reproducible research techniques Experience in developing AI solutions for production usage Full professional proficiency in English Standout Qualities: Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation Confident statistical and machine learning skills Experience in creating core AI systems that are foundational to the product and are used in many parts of it Experience in classical software development and architecture Interpersonal skills: Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization. You are proactively pushing yourself to develop your skills and knowledge Decision making and argumentation skills Open to feedback and ready to react on it Ability to work autonomously on a project level Our Work Style: Code: Python, Jupyter, mypy, uv, black, flake8 Data: pandas, SQL, BigQuery GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing) ML: scikit-learn, lightgbm, pytorch Cloud: GCP, Dagster, MLFlow Coding Agents: Claude Code, Codex, Cursor Team Dynamics: As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users. Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) 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 What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 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: 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. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience. As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product. Your Impact: Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback Communicating with fellow data scientists, product owners, and developers Applying best software engineering practices to build a reliable codebase Performing code reviews Working in agile environment and presenting the results of your work on regular sprint reviews Your Qualifications: 4+ years of experience in AI,  Data Science, and Machine learning Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics Experience in building complex multipart and multistep LLM-based and ML systems Proficiency in Python (including pure Python, and not only jupyter notebooks) Experience in using reproducible research techniques Experience in developing AI solutions for production usage Full professional proficiency in English Standout Qualities: Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation Confident statistical and machine learning skills Experience in creating core AI systems that are foundational to the product and are used in many parts of it Experience in classical software development and architecture Interpersonal skills: Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization. You are proactively pushing yourself to develop your skills and knowledge Decision making and argumentation skills Open to feedback and ready to react on it Ability to work autonomously on a project level Our Work Style: Code: Python, Jupyter, mypy, uv, black, flake8 Data: pandas, SQL, BigQuery GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing) ML: scikit-learn, lightgbm, pytorch Cloud: GCP, Dagster, MLFlow Coding Agents: Claude Code, Codex, Cursor Team Dynamics: As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users. Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) 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 What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 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.