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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly. This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace. Responsibilities Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase Help set technical standards and best practices for the team, and mentor other engineers Minimum Qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Strong software engineering fundamentals and hands-on coding ability Experience making architectural decisions that other engineers and teams build on top of Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders Demonstrated ability to operate effectively in ambiguous, fast-changing environments Strong candidates may also have Experience building infrastructure or platforms specifically for research or machine learning workflows Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems Experience with distributed systems, cloud infrastructure, and infrastructure-as-code Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy Prior experience as a technical lead or mentor for other engineers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are building the foundational data infrastructure that powers one of the world's leading crypto exchanges. As a Big Data Platform Engineer , you will design, build, and evolve the core platform services that enable hundreds of data engineers and analysts to move fast and ship reliable pipelines. You will be at the forefront of our AI agent initiative — embedding LLM-driven capabilities directly into the platform layer so that scheduling, cost optimization, and incident response increasingly run autonomously. What You’ll Be Doing Platform Core: Design and operate large-scale distributed data systems Own the big data compute and storage infrastructure (MaxCompute/ODPS, Hologres, Spark) Build and maintain multi-site task orchestration that dynamically selects engines and enforces policy Drive reliability and performance improvements across batch and real-time pipelines AI Integration: Build the AI-native platform layer Develop and expose MCP (Model Context Protocol) tool interfaces so AI agents can interact with platform APIs Build the scheduling and cost-optimization agents that auto-tune resource allocation and alert severity Instrument platform telemetry to feed AI-driven SLA monitoring and anomaly detection Design context retrieval pipelines (RAG / vector search) for SQL code and config knowledge bases Tooling & DX: Evolve the developer experience Own the internal data development platform — IDE integrations, code review automation, deployment tooling Build APIs-first tools (backfill, ingestion automation) designed for future MCP integration Collaborate with data warehouse and service teams to define platform contracts Ops & Governance: Drive operational excellence Establish SLA benchmarks, cost metrics, and latency dashboards as AI optimization targets Build automated incident response and root-cause analysis pipelines Define and enforce infrastructure policies across multi-cloud environments AI Agent Ownership — Platform Tier Scheduling Agent: auto-configure task dependencies, engine selection, cost/performance trade-offs, and alert tiers Operations Agent: detect pipeline latency, performance degradation, and schema drift; trigger remediation Incident Response Agent: trace SLA breaches to root cause, assign accountability, generate post-mortems MCP Tool Layer: design and maintain the cross-platform tool interfaces that all agents call into What We Look For In You 5+ years of experience building large-scale data platforms (Hadoop/Spark/Flink or equivalent) Deep expertise in distributed storage and compute systems (MaxCompute, Hologres, ClickHouse, Hive) Strong software engineering skills in Java, Scala, or Python; experience with API-first design Hands-on experience with task scheduling systems (Airflow, DolphinScheduler, or in-house equivalents) Solid understanding of multi-cloud architectures and cost governance Familiarity with LLM integration patterns: tool calling, RAG pipelines, context management Experience with MCP or similar agent-tool frameworks is a strong plus Passion for building systems that make other engineers 10x more productive Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Seoul 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 Lead Deployment Strategist on our founding office in Korea, you will bridge the gap between vision and execution, ensuring our customers not only see the potential of AI but realize its value in their operations. This role is a unique blend of strategic advisory and hands-on deployment leadership, spanning both presales and postsales phases. You will act as a trusted advisor to C-suite executives, architecting AI solutions that drive transformation and delivering measurable business outcomes.   You will be embedded in our most strategic accounts, diagnosing business challenges, designing AI-powered solutions, and leading their deployment from concept to full-scale adoption. This role demands a rare combination of executive presence, technical credibility, and commercial acumen, with a focus on both winning and delivering high-impact AI initiatives.   WHAT YOU WILL DO   Strategic Advisory & C-Suite Partnership • Serve as the lead strategic advisor for a portfolio of high-value enterprise clients, building trusted relationships with executive leadership (CEO, CTO, CIO). • Lead C-suite workshops to diagnose business drivers and co-create multi-year AI transformation roadmaps aligned with corporate strategy. • Develop and present compelling business cases and proposals, articulating the ROI of AI adoption and the value of Mistral’s platform.   Presales: Shaping the Vision • Partner with sales and product teams to identify and qualify opportunities, positioning Mistral’s solutions as the catalyst for enterprise transformation. • Design tailored AI strategies and proof-of-concepts that address critical business challenges and demonstrate tangible value. • Act as a subject matter expert in client engagements, ensuring our solutions are understood, trusted, and adopted.   Postsales: Driving Deployment & Adoption • Own the end-to-end success of AI deployments, from strategic planning to operational integration, ensuring solutions are embedded into the customer’s core workflows. • Lead cross-functional teams of engineers, data scientists, and product managers to execute deployment roadmaps and deliver measurable results. • Navigate organizational complexity and drive change management to ensure seamless adoption and long-term success.   Commercial Growth & Thought Leadership • Identify and cultivate expansion opportunities within accounts, connecting Mistral’s capabilities to new business challenges and driving commercial growth. • Mentor junior strategists and contribute to the development of best practices, methodologies, and playbooks for customer engagement. • Represent Mistral AI as a thought leader through speaking engagements, executive briefings, and industry contributions.     WHAT WE'RE LOOKING FOR   • You have 8+ years of experience in technical management consulting, enterprise technology, or a customer-facing strategic role, with a focus on AI/ML, data architecture, or digital transformation. • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You are fluent in both English and Korean • You possess a deep, practical expertise in AI/ML concepts, enterprise data architecture, and modern software development with hands-on development of AI solutions—enough to credibly engage with technical teams and executives alike. • You have a proven track record of engaging and influencing C-suite executives, with the ability to navigate complex conversations and align AI strategies with business objectives. • You excel at structuring ambiguous problems into actionable programs and thrive in fast-paced, high-stakes environments. • You are equally comfortable in presales and postsales: shaping deals, designing solutions, and ensuring their successful deployment. • You have experience managing high-value accounts, understanding deal mechanics, and building compelling cases for investment. • You are a collaborative leader who can motivate cross-functional teams and drive results through influence, not authority.   We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact for our customers.     INTERVIEW PROCESS   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview  • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   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 WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 5 years of writing production-quality code in C++ on Linux platform Good understanding of Python language with development experience Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

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

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Staff Mobile Security Engineer to join our Mobile Security team, where you will play a key role in identifying and mitigating security vulnerabilities across OKX's mobile applications and platforms. This is a high-ownership role at the intersection of offensive security, mobile engineering, and platform protection — you will work closely with development, operations, and compliance teams to ensure security is embedded at every layer of our mobile stack. You bring deep expertise in mobile application security, offensive techniques, and secure coding practices. You are also fluent in AI-assisted development and bring the discipline to build, maintain, and continuously improve your own AI engineering workflows. What You'll Be Doing Identify and address security vulnerabilities in mobile code, systems, and networks through manual review, automated tooling, and threat modelling. Manage and optimise application security tools, processes, and alerts to maintain a strong security posture. Validate and respond to Bug Bounty submissions, triaging findings and coordinating remediation with engineering teams. Produce detailed security findings reports and present them to both technical and management audiences, contributing to real-world attack prevention. Collaborate with development teams to implement and champion secure coding practices across iOS and Android platforms. Apply AI tools to accelerate security research, automate vulnerability detection workflows, and improve the efficiency of threat analysis. Work alongside operations and compliance teams to ensure security is a consistent priority across the organisation. Participate in incident response and management activities. Stay current on the latest offensive security techniques, application security threats, and industry best practices. What We Look For In You 5+ years of experience in mobile application security or offensive security, with hands-on expertise in iOS and/or Android platforms. In-depth understanding of security risks, vulnerabilities, and concepts in mobile and web applications. Proficient in code review across Kotlin, Swift, TypeScript, or JavaScript, with a strong grasp of application security threats. Able to create proof-of-concepts (PoCs) to demonstrate vulnerabilities, review patch code for adherence to standards, and collaborate with repository owners on remediation. Actively uses AI tools in your security engineering workflow — including building AI-leveraged workflows and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work. Strong analytical and problem-solving abilities with excellent verbal and written communication skills. Nice-To-Haves Prior experience developing mobile security SDKs at scale — products with a daily active user base of over ten million. Experience in large-scale business risk control projects, or practical experience in threat intelligence, business risk prevention, and countermeasures against black and grey industries. In-depth reverse engineering of major apps from first-tier vendors, or other projects that demonstrate strong reverse engineering capabilities. Proficiency in ARM assembly, with the ability to implement deep-level countermeasures at the native and application layers. Experience with device fingerprint recognition — including simulating new devices through methods such as flashing, modification, and application cloning. Ability to work across multiple mobile platforms simultaneously. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT THE TEAM We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions. RESPONSIBILITIES - Enable efficient data access by creating and maintaining data pipelines. - Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process. - Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics. - Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes. - Design new and improve current patterns for building data models and implement necessary modifications. REQUIREMENTS - 5+ years of experience in data engineering or in a similar role. - Extensive experience with Apache Spark using Python for large-scale data processing. - Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage. - Experience with AWS, Azure, or other Kubernetes platforms is a huge plus. - Must have hands-on expertise with Git for version control and collaboration. - Solid knowledge of SQL, essential for querying and managing relational databases. Salary ranges: 58000-70 000 euro gross annually What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice #LI-JP1

Location: New York HQ Workplace: OnSite ABOUT AVOCA Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. ABOUT THE ROLE We're hiring a Partnerships Manager to grow one of Avoca's most important revenue engines. Partnerships put Avoca in front of thousands of home services operators at once, through the networks, platforms, and industry players they already know and trust. You'll own a revenue goal and a portfolio of partner relationships across the home services ecosystem, from integration and technology partners to the manufacturers, suppliers, and distributors that sit upstream of every contractor. You'll take partnerships end to end: finding the opportunity, structuring the relationship, and turning it into repeatable pipeline and revenue. This is a small, fast-moving team, so you'll wear many hats and help build the playbook as much as run it. You'll report directly to the Head of Partnerships and work closely with leadership on our highest-priority partner initiatives. WHAT YOU'LL DO - Own a portfolio of partner relationships end to end, from first conversation to signed partnership to revenue, across technology partners, manufacturers, suppliers, and distributors - Leverage Avoca’s network of investors, partners, and industry influencers to generate inbound interest and warm introductions. - Structure partnerships that create real distribution: co-marketing, referral motions, preferred-vendor positioning, joint events, and go-to-market - Turn relationships into measurable partner-sourced pipeline and ARR, and own those numbers - Work closely with Sales and Marketing to ensure every partnership is effectively enabled and integrated into our existing GTM motions, not left to sit on paper - Represent Avoca with partners and at industry events, with travel as needed, heavier during conference season WHAT YOU'LL BRING - Direct experience in the home services industry, you understand how this ecosystem works and who the players are - Existing relationships with manufacturers, suppliers, or other key players in the space that you can activate quickly - 6+ years in the industry or in partnerships, channel, or business development adjacent to it - A track record of building and closing partnerships or commercial relationships, not just managing existing ones - Strong commercial instinct and clear communication with both field operators and executives - High agency: you build the playbook, you don't wait for one - Bonus points: Experience with channel, co-marketing, or partner-sourced revenue motions and familiarity with the CRMs home services operators use (ServiceTitan, FieldRoutes, Housecall Pro, and others) WHO YOU ARE - You know the home services world well enough to bring a point of view and a network with you, not build both from scratch - You're a relationship builder who's equally comfortable in the field and in a boardroom - You think in systems: you can look at a fragmented landscape and quickly see where the leverage is - You want to own a book of partnerships, carry a number, and shape what this function becomes - You want to be in-office in NYC, surrounded by people who move fast and hold themselves to a high standard BENEFITS - Comprehensive medical, dental, and vision insurance - Company-sponsored 401(k) through Vestwell - Flexible PTO plus U.S. federal holidays - Company-wide off-sites - Monthly wellness stipend - Daily in-office lunch through Parkday - Dinner covered when working late - Commuter benefits and late-night rideshare - Standing desks and workspace accommodations available on request - All core tools and software provided Compensation: The expected base salary for this role is $160,000-$220,000, with final compensation based on experience, skills, and qualifications. Avoca's total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits. Our Recruiting team will share full details as you progress through the process. WHY AVOCA At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact. Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.

Location: South Africa; Morocco; Philippines About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a premier B2B growth agency that bridges the gap between high-level strategy and tangible sales results. Based in the UK with a global reach across major hubs like London, New York, and Dublin, the team provides an integrated "go-to-market as a service" model. They specialize in deep market research, creative brand positioning, demand generation, and expert lead generation for B2B founders and GTM leaders in the SaaS, Fintech, and professional services sectors. By combining intelligence-driven insights with proactive outreach, they help businesses in the £1M to £25M ARR range scale their pipelines and secure high-quality meetings with global enterprises. The company operates with a focus on transparency, methodology, and senior-led strategy, moving away from templated campaigns in favor of research-backed execution. The team thrives on high-impact work, delivering measurable growth for clients in emerging and established markets alike. Joining this organization means working in a collaborative, fast-paced environment where data-driven decisions and creative execution meet to redefine how modern B2B organizations acquire customers and build long-term market influence. Role Type: Full-time Job Summary As a Graphic Designer at the heart of this creative team, you will be the visual storyteller responsible for elevating brand presence across every digital touchpoint. This isn't just about making things look good; it’s about designing high-impact visual content that stops the scroll, drives demand, and generates real results for a global portfolio of ambitious clients. If you are a creative problem-solver who thrives in a fast-paced environment and wants to see your work define the visual identity of industry-leading campaigns, this is the role for you. Key Responsibilities Social Media Design: Conceptualize and execute high-quality graphics for LinkedIn and other major platforms, including carousel posts, branded visuals, and thought leadership assets. Brand & Campaign Design: Develop creative concepts for demand generation activities, designing visuals for webinars, events, lead-gen reports, and promotional content. Website & Digital Design: Support web projects by creating page designs, custom icons, illustrations, and visual elements that bridge the gap between aesthetics and user experience. Guide & Asset Creation: Transform complex ideas into polished marketing assets, such as professional eBooks, whitepapers, and downloadable resources with a focus on readability and layout. Creative Development: Continually push the boundaries of the team's creative standards by testing new formats, staying ahead of design trends, and evolving client brand aesthetics. Collaboration & Delivery: Manage projects from concept to completion, working closely with marketers, videographers, and leadership to meet deadlines in a high-growth environment. Requirements Design Excellence: A strong portfolio demonstrating a modern aesthetic and an eye for high-end, engaging visual design. Technical Mastery: High proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign) and a deep understanding of Canva for collaborative workflows. Social Media Savvy: A proven understanding of what captures attention on professional platforms like LinkedIn and how to design for engagement and performance. Detail-Oriented: A meticulous approach to design, ensuring every pixel is aligned and every asset is polished before delivery. Organization Skills: The ability to prioritize multiple projects and meet tight deadlines without compromising on quality. Growth Mindset: An ambitious and curious nature, with a desire to learn new tools and contribute to the overall creative strategy of the business. Nice-to-Haves Experience working within a fast-paced agency environment. Knowledge of UI/UX principles and how they apply to landing page design. Experience with motion graphics or video editing elements to enhance static designs. Prior experience working on B2B marketing or demand generation campaigns. Benefits 💰 Competitive salary 🚀 Career growth opportunities in a fast-paced agency 🌎 Collaborative and energetic remote-friendly culture 📈 Exposure to global clients and high-scale marketing projects 🎯 Ownership over creative projects from day one 💡 Opportunity to lead and evolve creative standards

Location: Romania About Flosum Flosum is a leading Salesforce-native DevOps platform that enables enterprises to manage and accelerate their Salesforce development lifecycle with security, compliance, and efficiency at scale. Built entirely on Salesforce, Flosum empowers teams to streamline releases, improve governance, and drive faster innovation. Role Overview We're looking for a driven, relationship-first Account Manager to own and grow a portfolio of enterprise accounts. You'll be the primary point of contact for a set of high-value customers — responsible for renewal, expansion, and long-term success. You'll partner closely with Sales, Customer Success, and Product to ensure our customers see measurable impact from our platform and grow with us over time. Requirements Own a portfolio of accounts, managing the post-sale lifecycle including QBRs, renewals, and expansions. Build and maintain multi-threaded relationships across economic buyers, executives, and champions within each account. Proactively identify upsell and cross-sell opportunities and drive net revenue retention above 120%. Partner with Customer Success Managers to ensure product adoption, time-to-value, and health scores are on track and gross revenue retention above 93%. Lead executive business reviews and translate platform data into business-relevant insights for C-suite stakeholders. Forecast renewal and expansion revenue accurately in Salesforce on a monthly and quarterly basis. Serve as the voice of the customer internally — surfacing product feedback, risks, and opportunities to Product and Leadership. Navigate complex contract negotiations and procurement cycles with legal and finance stakeholders. Required Qualifications 6+ years in Account Management, Sales, or a quota-carrying role in B2B SaaS Demonstrated track record of meeting or exceeding GRR, NRR, upsell, and renewal targets on enterprise accounts ($100K+ ACV). Strong executive presence — comfortable engaging VP and C-level stakeholders in strategic conversations. Experience managing complex, multi-stakeholder accounts with long sales cycles. Excellent written and verbal communication skills; ability to build trusted advisor relationships. Strong commercial acumen — able to construct ROI narratives and business cases for expansion. Experience working with SaaS platforms, preferably in the Salesforce ecosystem Strong understanding of Salesforce (Admin, DevOps, or development lifecycle concepts preferred) Preferred Qualifications Experience with Salesforce DevOps tools or release management processes Familiarity with CI/CD, version control, or agile development practices Background working with enterprise customers Salesforce certifications (Admin, Platform App Builder, etc.)

Location: Poland About Flosum Flosum is a leading Salesforce-native DevOps platform that enables enterprises to manage and accelerate their Salesforce development lifecycle with security, compliance, and efficiency at scale. Built entirely on Salesforce, Flosum empowers teams to streamline releases, improve governance, and drive faster innovation. Role Overview We're looking for a driven, relationship-first Account Manager to own and grow a portfolio of enterprise accounts. You'll be the primary point of contact for a set of high-value customers — responsible for renewal, expansion, and long-term success. You'll partner closely with Sales, Customer Success, and Product to ensure our customers see measurable impact from our platform and grow with us over time. Requirements Own a portfolio of accounts, managing the post-sale lifecycle including QBRs, renewals, and expansions. Build and maintain multi-threaded relationships across economic buyers, executives, and champions within each account. Proactively identify upsell and cross-sell opportunities and drive net revenue retention above 120%. Partner with Customer Success Managers to ensure product adoption, time-to-value, and health scores are on track and gross revenue retention above 93%. Lead executive business reviews and translate platform data into business-relevant insights for C-suite stakeholders. Forecast renewal and expansion revenue accurately in Salesforce on a monthly and quarterly basis. Serve as the voice of the customer internally — surfacing product feedback, risks, and opportunities to Product and Leadership. Navigate complex contract negotiations and procurement cycles with legal and finance stakeholders. Required Qualifications 6+ years in Account Management, Sales, or a quota-carrying role in B2B SaaS Demonstrated track record of meeting or exceeding GRR, NRR, upsell, and renewal targets on enterprise accounts ($100K+ ACV). Strong executive presence — comfortable engaging VP and C-level stakeholders in strategic conversations. Experience managing complex, multi-stakeholder accounts with long sales cycles. Excellent written and verbal communication skills; ability to build trusted advisor relationships. Strong commercial acumen — able to construct ROI narratives and business cases for expansion. Experience working with SaaS platforms, preferably in the Salesforce ecosystem Strong understanding of Salesforce (Admin, DevOps, or development lifecycle concepts preferred) Preferred Qualifications Experience with Salesforce DevOps tools or release management processes Familiarity with CI/CD, version control, or agile development practices Background working with enterprise customers Salesforce certifications (Admin, Platform App Builder, etc.)

Location: Czechia About Flosum Flosum is a leading Salesforce-native DevOps platform that enables enterprises to manage and accelerate their Salesforce development lifecycle with security, compliance, and efficiency at scale. Built entirely on Salesforce, Flosum empowers teams to streamline releases, improve governance, and drive faster innovation. Role Overview We're looking for a driven, relationship-first Account Manager to own and grow a portfolio of enterprise accounts. You'll be the primary point of contact for a set of high-value customers — responsible for renewal, expansion, and long-term success. You'll partner closely with Sales, Customer Success, and Product to ensure our customers see measurable impact from our platform and grow with us over time. Requirements Own a portfolio of accounts, managing the post-sale lifecycle including QBRs, renewals, and expansions. Build and maintain multi-threaded relationships across economic buyers, executives, and champions within each account. Proactively identify upsell and cross-sell opportunities and drive net revenue retention above 120%. Partner with Customer Success Managers to ensure product adoption, time-to-value, and health scores are on track and gross revenue retention above 93%. Lead executive business reviews and translate platform data into business-relevant insights for C-suite stakeholders. Forecast renewal and expansion revenue accurately in Salesforce on a monthly and quarterly basis. Serve as the voice of the customer internally — surfacing product feedback, risks, and opportunities to Product and Leadership. Navigate complex contract negotiations and procurement cycles with legal and finance stakeholders. Required Qualifications 6+ years in Account Management, Sales, or a quota-carrying role in B2B SaaS Demonstrated track record of meeting or exceeding GRR, NRR, upsell, and renewal targets on enterprise accounts ($100K+ ACV). Strong executive presence — comfortable engaging VP and C-level stakeholders in strategic conversations. Experience managing complex, multi-stakeholder accounts with long sales cycles. Excellent written and verbal communication skills; ability to build trusted advisor relationships. Strong commercial acumen — able to construct ROI narratives and business cases for expansion. Experience working with SaaS platforms, preferably in the Salesforce ecosystem Strong understanding of Salesforce (Admin, DevOps, or development lifecycle concepts preferred) Preferred Qualifications Experience with Salesforce DevOps tools or release management processes Familiarity with CI/CD, version control, or agile development practices Background working with enterprise customers Salesforce certifications (Admin, Platform App Builder, etc.)

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. WHAT YOU’LL WORK ON: - Improve existing methods and develop new techniques for large-scale model training, optimization, and inference - Extend models to long-context and long-horizon tasks - Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments YOU MAY BE A FIT IF: - You have a PhD in computer science, machine learning, or a related field - You have a demonstrated record of research accomplishments in reinforcement learning, machine learning, foundation models, or related fields - You have experience with large-scale training and inference infrastructure, including distributed systems and multi-node GPU clusters - You’ve developed, trained, optimized, or deployed state-of-the-art large-scale models - You have first-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR - You have a mission-driven mindset and a strong desire to translate research advances into meaningful product impact - You have a collaborative spirit and can work effectively across research and engineering teams Candidates with a master’s degree and significant research or industry experience will also be considered.

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Most of the value of owning a model shows up at serving time. We’re building a platform that covers the whole life of an LLM (train it, deploy it, observe it), and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. WHAT YOU’LL WORK ON: - Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for - Train custom speculators against real production traffic and feed what you learn back into target models; acceptance length is the metric that decides the win - Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research - Carry and expand collaborations with outside research labs, for example: - our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting - our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance - our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster - Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine - Help shape the research agenda None of the above is prescriptive; your work will help guide our future. YOU MAY BE A FIT IF: - You have a research-leaning or systems background in LLM inference, with work you can point to - You’re fluent in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling - You have a record of shipping research or systems that other people build on, whether in a lab or in industry - You have the drive to independently take a research bet from idea to result, working in the open with the rest of the team - You’re able to work in person in our NYC or San Francisco office

Location: Palo Alto; San Francisco 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 As a US Patent Attorney on the legal team, you will transform cutting-edge research into a strategic intellectual property portfolio that protects Mistral AI’s innovations and supports its global growth. You will work closely with research, engineering, and product teams to identify, prioritize, and secure patentable inventions, shaping the future of open-source AI while aligning IP strategy with the company’s mission. The legal team, currently comprising 30 people across Paris, London and Palo Alto, covers compliance, IP, contracts, and corporate matters. Your role will have a direct impact on defining AI standards, securing strategic assets, and embedding IP thinking into the company’s culture and processes. WHAT YOU WILL DO - Identify and prioritize patentable inventions by engaging with researchers, engineers, and product managers, advising on trade secrets vs. patent filings. - Draft invention memos and patent applications, translating complex technical ideas into clear, defensible disclosures. - Manage global patent prosecution, including office action responses and outside counsel, to ensure high-quality filings. - Develop and maintain internal IP processes, tools, and documentation, including dashboards for tracking filings, deadlines, and portfolio metrics. - Support M&A due diligence by assessing IP portfolios, freedom-to-operate risks, and competitive positioning of targets. - Administer and evolve the inventor recognition program, including bonuses, awards, and visibility initiatives. - Align patent strategy with Mistral’s open-source objectives and recommend participation in defensive patent networks or alliances. WHAT WE'RE LOOKING FOR - Proven experience drafting patents in complex software/AI domains, with a deep understanding of AI patent eligibility in the US and Europe. - Hands-on experience with LLMs or other GenAI technologies, including the ability to decode and articulate technical concepts like model architectures or training methods. - Experience selecting, managing, and optimizing external patent firms to ensure high-quality, cost-effective prosecution. - Ability to engage with researchers and engineers, extract critical information, and explain IP concepts to non-legal audiences. - Self-driven and resourceful, with a talent for anticipating needs, engaging stakeholders, and documenting processes. - Business acumen to understand how patents drive value for a scale-up, combined with familiarity with open-source licenses and their intersection with patents. - Fluent English (required for legal/technical writing); 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: One Kattameya, Cairo Workplace: onsite We are looking for Senior Data Analyst who has deep technical analytics with business partnership. In this role you aren't just expected to build dashboards, you're expected to own the entire analytical lifecycle and influence business decisions. What you'll do: Own analytics for one or more business domains (such as Lending, Payments, Risk, Sales, or Growth), acting as the primary analytics partner for stakeholders. Translate ambiguous business questions into clear analytical problems, delivering actionable insights that drive decision-making. Build, maintain, and govern trusted metrics and dashboards in Looker using LookML, ensuring consistent definitions and a reliable single source of truth. Conduct advanced analyses, including funnel diagnostics, cohort analysis, segmentation, churn and activation analysis, and causal inference, to uncover not just what happened, but why. Partner directly with senior stakeholders to scope requests, prioritize work, communicate findings, and confidently present analytical recommendations. Ensure data quality by validating datasets, reconciling discrepancies, and identifying limitations related to data availability or privacy requirements. Contribute to the analytics platform by improving documentation, semantic models, coding standards, and best practices that enable the team to scale. Communicate insights through concise dashboards, presentations, and documentation tailored to different audiences. To succeed in this role, you'll need to have: 5+ years of experience in data analytics, including at least 2 years operating independently in a senior individual contributor capacity. Background in fintech or banking is strongly preferred. Advanced SQL with strong understanding of complex datasets and multi-row relationships. Experience with cloud data warehouses such as BigQuery (preferred), Snowflake, or Redshift. Strong experience building governed BI solutions in Looker/LookML or comparable platforms such as Tableau or Power BI. Experience with dbt or similar data transformation frameworks. Working knowledge of Python or R for analysis and automation. Strong foundation in statistics, experimentation, and causal analysis (A/B testing, cohort analysis, regression, diff-in-diff, regression discontinuity, etc.). Ability to transform ambiguous business questions into well-scoped analytical projects. Strong analytical judgment and methodological rigor. Excellent stakeholder management and communication skills. Commitment to data quality, governance, and consistent metric definitions. Ability to work autonomously and own projects from problem definition through delivery.

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Tabuk, Saudi Arabia; Lusail, Qatar The Projects Planning Engineer (Architect) is responsible for planning, leading, and overseeing the planning and design phase of Academic, Research, Administrative, Support Facility, Infrastructure, and KAUST community projects from inception through the design phase. The Projects Planning Engineer-Architect is the FM Representative to a wide range of internal and external stakeholders, often managing the design, budget, schedule, and scope of multiple critical projects simultaneously. Responsibilities Serve as the primary liaison between Facilities Management and university, research, and community stakeholders. Gather, define, and document project requirements, scope, and objectives from inception through the design phase. Develop project strategies, milestones, schedules, and planning documents. Prepare executive-level reports and presentations for senior management. Lead feasibility studies, programming studies, and early design development, either directly or through consultants. Manage and coordinate external consultants, architects, and engineering firms. Develop and control project budgets in coordination with cost consultants and internal teams. Ensure projects align with quality standards, sustainability requirements, and institutional guidelines. Lead procurement processes for selection of design consultants and contractors, in coordination with procurement and legal teams. Prepare and review tender documents, contracts, and technical submissions. Evaluate design proposals and recommend value engineering and cost optimization solutions. Monitor and manage project risks, claims, variations, and change orders. Requirements Bachelor’s degree in Architecture, Planning, Engineering, or a related field. Minimum 5 years of experience in architecture, planning, or project management. Experience in managing large-scale capital or infrastructure projects. Strong knowledge of project planning, design development, and construction processes. Proficiency in project management and scheduling tools (e.g., MS Project, Primavera, BIM tools). Strong analytical and problem-solving skills. Excellent written, verbal, and presentation communication skills. Ability to manage multiple complex projects simultaneously. Strong stakeholder management and coordination skills.

Задачи: — Архитектура AI-усиленного Growth Engine: создание автоматизированных, масштабируемых циклов роста по всему технологическому стеку для повышения эффективности, скорости и ROI. — Полная ответственность за предсказуемую генерацию Sales Accepted Opportunities (SAOs) и квалифицированного пула потенциальных клиентов. — Руководство движком спроса, поддерживающим глобальную команду продаж. — Разработка рыночных стратегий выхода на рынок (GTM), ориентированных на сегменты SMB и Mid-Market, для повышения узнаваемости бренда и дохода. — Управление полным циклом покупателя: от привлечения до расширения клиентской базы с помощью lifecycle-программ, стимулирующих допродажи и долгосрочное использование платформы. — Сотрудничество с отделами продаж, продукта и клиентского успеха для согласования маркетинговых инициатив с приоритетами дорожной карты. — Руководство и развитие высокоэффективной команды экспертов по росту, формирование культуры производительности, ответственности и постоянного улучшения. Требования: — Значительный опыт руководства в области growth marketing, demand generation или lifecycle в быстрорастущих B2B SaaS компаниях. — Подтвержденный опыт ответственности за результаты по pipeline или доходам, а не только генерацию лидов. — Опыт масштабирования full-funnel growth программ через платные, органические каналы, веб-сайт/CRO и lifecycle маркетинг. — Практические знания AI и опыт интеграции AI-инструментов и агентов в маркетинговые процессы. — Глубокое понимание современных метрик роста, моделей атрибуции и экспериментальных фреймворков. — Опыт управления маркетинговыми бюджетами в несколько миллионов. — Сильное партнерство с отделами продаж, RevOps, Product Marketing, Brand & Community, Partnerships & Field, Customer Success и руководством. — Опыт построения и масштабирования высокоэффективных команд роста. — Активная позиция, высокая исполнительность и стремление к результату. — Интерес к поведению покупателей и интуиция в улучшении конверсии. Условия: — Работа в быстрорастущем scale-up с целью охвата 2 миллионов пользователей к 2025 году. — Международная и разнообразная команда. — Регулярная обратная связь и признание успехов. — Гибридный режим работы: 2 дня в неделю в офисе в Берлине (вторник и четверг, с оплачиваемыми обедами). — Гибкий график и возможность работать удаленно до 2 месяцев в году. — Бюджет на обучение и развитие €2,000 в год и доступ к платформе Good Habitz. — 30 дней отпуска в год плюс праздники (40 дней с опцией скорректированной оплаты) и саббатикал после 5 лет. — Бесплатное членство в Urban Sports Club и подписка Oliva. — Индивидуальные сессии терапии и соответствующие воркшопы. — Корпоративные скидки от партнеров. — Единовременный stipend на работу из дома €1,000. — Ежемесячные командные мероприятия. — Конкурентная зарплата и опционы до IPO.