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Location: Remote (Peru) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. This is a senior-level position with the opportunity to work remotely in Peru. Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes. You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales. You have an interest in and a curiosity about data platforms and the latest advances in data technology. What you will be doing Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles. Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs. Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in. Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products. Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse. Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions. Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise. Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals. Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought. Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences. Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time. You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile. You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company. What you bring to the table 5-8+ years of data engineering experience with at least 4 years in production Databricks environments, preferably in a consulting or client delivery context. Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus. Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes. Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale. Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles. Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code. Understanding of data modeling, schema design, and query optimization. Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders. Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions. Above-average discipline and personal organization skills. Obvious comfort with critique and peer review in the context of an iterative development process. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of data engineering. Bonus points if you… Have worked with real-time streaming technologies (Kafka, Kinesis, etc.). Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus. Have experience in healthcare or fintech domains. Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines. Have experience with Java, Go, or Scala. Have strong illustration skills for technical diagramming and data architecture documentation. Speak, write, and/or educate publicly about data engineering topics. Have contributed to open-source data projects. Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals. Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. 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: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Nebius Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, the Americas and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Infrastructure Acquisition Group The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online. We're a small, founding team building this function from the ground up across the Americas, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales. Examples of Problems We're Solving Determine whether a site can actually support the AI infrastructure we're planning to build. Lead multidisciplinary technical due diligence across geotechnical, environmental, civil, utility, and entitlement workstreams to determine whether a project is technically feasible before Nebius commits capital. Build a repeatable technical due diligence program. Help establish the standards, consultant network, playbooks, and review processes that ensure every infrastructure opportunity is evaluated consistently across the Americas. Identify technical risk before it becomes commercial risk. Work with Site Selection, Project Development, Engineering, and external consultants to identify development constraints early enough to influence negotiations, investment decisions, and project schedules. About the Role As a Technical Due Diligence Manager, you'll evaluate the technical feasibility of AI infrastructure opportunities across the Americas before Nebius commits capital. Working within the Infrastructure Acquisition Group, you'll lead multidisciplinary engineering due diligence across powered land and build-to-suit developments, partnering with Site Selection, Engineering, Energy, Legal, and Project Development to identify technical risk, assess development feasibility, and support investment decisions. This is a build-phase role on a build-phase team. Many of the standards, playbooks, consultant relationships, and technical review processes you'll use are still being written—in some cases, you'll help write them. We're looking for someone who can independently lead complex technical due diligence programs while helping build the systems that make every future evaluation faster, more consistent, and more scalable. What You'll Own Lead multidisciplinary technical due diligence for powered land, build-to-suit, and other strategic infrastructure opportunities. Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites. Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation. Interpret technical findings and provide development recommendations supporting acquisition decisions. Prepare technical due diligence summaries and present risks, constraints, and recommendations to executive leadership. Technical Risk Assessment Evaluate geotechnical conditions, environmental constraints, utility capacity, network connectivity and fiber access, entitlement requirements, constructability, and development schedules. Identify technical risks that may impact project cost, schedule, or feasibility. Recommend mitigation strategies and additional investigations where appropriate. Quantify technical risks and communicate commercial impacts to Site Selection and Project Development. Studies & Consultant Management Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites. Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation. Interpret engineering studies and translate technical findings into clear development recommendations. Maintain technical documentation and due diligence records that support investment decisions. Program Standards & Process Apply Nebius' technical due diligence standards consistently across all projects. Help develop and improve due diligence templates, consultant scopes, checklists, and review processes. Capture lessons learned to strengthen future technical evaluations. Build and maintain a trusted network of engineering and technical consultants. Cross-Functional Collaboration Partner with Site Selection to evaluate new infrastructure opportunities and support acquisition recommendations. Work with Project Development to transition technically viable projects into development. Coordinate with Engineering, Energy, Network, Legal, Finance, and Delivery throughout the acquisition lifecycle. Build trusted relationships with engineering firms, land-use attorneys, environmental consultants, and technical partners. What Success Looks Like Deliver timely technical recommendations that support investment decisions. Identify development risks early enough to influence commercial negotiations and project strategy. Establish consistent technical due diligence standards across the Americas. Build a trusted network of engineering and technical consultants. Help build the standards and processes the Infrastructure Acquisition Group runs on as it scales. What You'll Bring You're comfortable operating in ambiguity and building processes where none exist. You know how to independently lead complex technical due diligence efforts while helping define how future evaluations should be performed. 5–10 years of experience leading technical due diligence, site development, civil engineering, land development, infrastructure design, or large-scale industrial projects. Experience managing multidisciplinary engineering and environmental consultants. Strong understanding of geotechnical investigations, environmental assessments, zoning, entitlements, utility coordination, permitting, and infrastructure development. Ability to interpret engineering studies and translate technical findings into business recommendations. Excellent communication and executive presentation skills. Bachelor's degree in Civil Engineering, Architecture, Construction Management, Real Estate Development, or a related discipline, or equivalent experience. Preferred Qualifications Experience supporting hyperscale data center, AI infrastructure, or mission-critical developments. Professional Engineer (PE), PMP, or similar technical certification. Experience with large-scale infrastructure acquisition or development programs. Knowledge of utility infrastructure, transmission, and power markets. Why Join Nebius The infrastructure supporting AI is being built now. This is an opportunity to help define how Nebius evaluates the next generation of AI infrastructure while helping build the function itself—the standards, consultant network, technical processes, and playbooks that will support infrastructure investments across the Americas. You'll work on some of the industry's largest and most complex AI infrastructure opportunities while helping shape the physical foundation of the global AI economy. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $150,000 — $183,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: 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: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior or Staff Software Engineer to join our Data Engineering team based in London. As the Data Platform Team, we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. We’re looking for experienced Engineers to help build our data platform from the ground up. You’ll have the opportunity to define its architecture, make key decisions, and shape how we handle and process petabyte-scale data in the near future. WHAT YOU'LL DO - Build the Capability Factory - an internal platform designed for everyone from software engineers to non-technical operators, enabling the entire organization to teach HMND robots new skills at scale, from raw data all the way to deployed capabilities. - Curate, preprocess, and manage large-scale datasets for humanoid robot training - a corpus of robot telemetry growing toward petabyte scale. - Design and operate highly scalable data pipelines and the compute infrastructure that powers them, ensuring reliability and throughput as data volume and team demands grow. - Ensure the quality, accuracy, and consistency of training data across multiple concurrent projects and robot platforms. - Collaborate with machine learning teams to shape the Capability Factory, streamline MLOps, and build the evaluation workflows that close the loop between training runs and real-world robot performance. - Build data warehouse solutions and BI dashboards that give stakeholders across the organization clear visibility into data collection, model progress, and operational health. - Establish and uphold best practices for data management - versioning, access control, security, and compliance. WHAT WE'RE LOOKING FOR - 5+ years of software engineering experience, with a track record of owning and delivering complex systems end-to-end, not just contributing to them. - Strong backend engineering - designing and operating production-grade APIs and services: clean data modeling, reliable error handling, performance under load. - Data engineering at PB+ scale - building and maintaining pipelines that move, transform, and validate large volumes of data reliably; understanding of batch and streaming processing patterns, data quality, and schema evolution. - Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. - Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. - Cloud infrastructure fluency - you have shipped and operated real systems on a major cloud provider; you think about cost, reliability, and security as first-class concerns, not afterthoughts. - Container orchestration - deploying and operating workloads on Kubernetes at a level where you can debug scheduling issues, design resource allocation, and reason about cluster health without guidance. - Full-stack range - comfortable building both the backend and the frontend of an internal product; you can own a feature from database schema to UI without handing off. - Production ownership mindset - you've been on-call, triaged incidents under pressure, and improved systems after postmortems. You take reliability personally. Nice to Have - ML infrastructure or MLOps experience - understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you've worked alongside or directly supported ML researchers. - Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. - Domain knowledge in robotics or embodied AI - familiarity with robot data formats, sensor telemetry, or the sim-to-real evaluation loop is a significant head start. - BI and data warehouse experience - building data models and dashboards that translate raw operational data into decisions for non-technical stakeholders. - Dual-cloud or multi-cloud storage - experience reasoning about cost, latency, and consistency tradeoffs across storage providers. - Frontend product sense - beyond just shipping features, you have opinions about what makes an internal tool actually usable by non-engineers. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

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. Role Summary As a Workplace Project Manager, you will own and drive complex, multi-site, and high-stakes workplace projects that shape the future of how we work. This role is at the heart of aligning our global workplace strategy with Mistral's mission, values (Audacity, Rigor, Customer Success, Speed, Low Ego), and rapid growth. You will oversee the planning, implementation, and delivery of workplace operations projects, ensuring efficient facilities management, optimal space utilization, and high-quality service delivery across all sites. You will report directly to the Workplace Lead EMEA, and be part of the HR Team. Key Responsibilities  Project Leadership & Delivery - Own the end-to-end delivery of complex, multi-site workplace projects, ensuring full alignment with business strategy and Mistral's core values. This includes opening and scaling new offices globally, managing and tracking the annual Workplace budget, negotiating leases and contracts with providers, launching and managing calls for tenders and supplier evaluations. - Establish and enforce project governance standards, methodologies, and best practices. - Lead post-project reviews to capture insights and drive organizational improvements. - Develop compliance frameworks for multi-site programs, integrating sustainability and ESG considerations into project design. - Advise on emerging regulations and drive a culture of health, safety, and rigor across project teams. Workplace Strategy & Innovation - Drive workplace strategy across global sites, integrating occupancy insights, business unit feedback, and emerging industry trends. - Develop mid- to long-term capacity plans and champion audacious, innovative space solutions. - Lead the adoption and optimization of digital workplace tools, advanced automations, and align technology with organizational goals. Vendor & Financial Management - Manage a portfolio of strategic vendor and contractor relationships, developing preferred supplier frameworks. - Negotiate multi-project agreements and mentor team members on procurement best practices. - Lead budget management for complex portfolios, design financial reporting frameworks, and identify strategic cost efficiencies. - Advise leadership on cost trade-offs and mentor junior team members on financial governance. Experience and Skills - Proven track record: 8+ years in workplace project management, facilities management, or corporate real estate, with experience delivering complex, multi-site initiatives. - Strategic thinking: Ability to align project delivery with business objectives and long-term workplace strategy. - Financial & vendor expertise: Strong budget and cost management skills, including financial reporting, cost trade-off analysis, and strategic vendor negotiations. - Risk & compliance mindset: Deep understanding of risk frameworks, contingency planning, and compliance (including ESG, health & safety, and workplace regulations).  - Digital fluency: Experience with workplace management tools, automation, and data-driven decision-making. - Experience in the tech industry or fast-growing scale-up environments. - Knowledge of workplace analytics: IWMS platforms or space planning software. - Background in workplace design, architecture, or facilities engineering. - Familiarity with international workplace standards and sustainability certifications. You're an amazing fit if you: - Have a service mindset - Are able to multitask and prioritize effectively - Keep discretion and professionalism when handling confidential information - Have a positive attitude and strong work ethics - Have a passion for building and maintaining a community within the office space - Thrive in a fast-paced workplace environment - Have excellent written and verbal communication skills - Have extraordinary organizational and time management skills   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 City Office COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.   ROLE DESCRIPTION As a Solutions Consultant at Tennr, your job is to walk into the messiest patient intake and authorization workflows in healthcare and prove, with evidence, not slides, that Tennr can fix them. You get brought in once a deal is qualified and own the technical evaluation from first demo through signature. That means running discovery to uncover the real operational pain, translating it into a business case, and then building and delivering a proof of concept that makes the answer obvious. You'll partner closely with an Account Executive, but the evaluation is yours to win. This is not a feature-demo role. The best SCs at Tennr understand the customer's business well enough to tell them something they didn't know about themselves — and then show them exactly how Tennr fixes it.   RESPONSIBILITIES - Run structured discovery to identify operational pain points across referral intake, prior authorization, and patient processing workflows — and quantify what they're costing the organization. - Deliver product demonstrations that are built around the prospect's specific problems, not generic feature walkthroughs. - Architect and build tailored Proof of Concepts using Tennr's agentic patient orchestration platform, scoped to what will move the deal. - Build current/future state process maps that make the before-and-after undeniable. - Own deal strategy in partnership with the AE — know where the deal stands, who the stakeholders are, and what needs to happen to close. - Become a genuine expert in the healthcare verticals you cover (DME, infusion, specialty pharmacy, home health) — understand the workflows, the payer dynamics, and the economics well enough to be credible in a room full of operators. - Translate Tennr's technical capabilities into business outcomes for non-technical buyers (operations leaders, CFOs, clinical directors).   CANDIDATE QUALIFICATIONS - 3-7 years in Solutions Consulting, Sales Engineering, or a technical customer-facing role at a B2B SaaS company. - Technically hands-on — you've configured complex software platforms, worked with APIs, or built demo/sandbox environments without engineering doing it for you. You know how data moves through a system. - Security and compliance fluency — you can read a SOC 2, interpret technical controls (encryption, access management, network segmentation), and respond to vendor security assessments without needing someone to translate for you. - CS degree or equivalent technical foundation strongly preferred — not because we need you to write production code, but because it signals you can figure things out when the documentation runs out. - Healthcare experience preferred — DME, infusion, specialty pharmacy, or any provider-side operations background is a significant plus. - Comfortable presenting to and building credibility with both operational buyers and technical stakeholders (IT, security, compliance). - Startup experience is a plus — you build process as you go and don't wait to be told what to do.   WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure. - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week. - Free lunch! Plus a pantry full of snacks.   BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer funded 401(k) match - Competitive parental leave

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. About The Job We are seeking a senior technical science and business leader to lead our rapidly expanding Applied Science team. You will drive innovative research and collaborate with clients on the most complex research projects, using real-world data to solve real problems. You will lead the development of SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that move the needle. Our team is made of world-class researchers, engineers, product builders, and ex-founders who love tackling the most complex real world problems in the industry. As the leader of Applied Science for Mistral, you will engage C-suite stakeholders from major enterprises, evangelizing and articulating the value proposition of Mistral in the local market. You will build a strong team, and a lasting team culture, to create a powerful talent flywheel. WHAT YOU WILL DO - Lead the technical execution of high-stakes frontier science projects. - Leading teams and strategic initiatives in the Applied Science team, defining team culture - Be the point of contact internally and externally for technical Applied Science projects in the local region. This includes: leading the pre- and post-sales technical scoping, running events, engaging executive stakeholders, and ensuring projects align with the long-term vision of Applied Science at Mistral. - Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. - Work across a diverse set of complex real world problems such as robotics, engineering, finance, cybersecurity, physics and more. - Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats customer expectations and frontier benchmarks. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. ABOUT YOU - You are fluent in English and Korean, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences. - You have experience leading a technical AI, science or engineering team. Balancing technical IC work with team leadership and stakeholder management. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence and high autonomy. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Ex-founder or builder - Loves to build a dynamic, hard-working and exciting team culture - PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. - Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. - Experience working on large code bases or large machine learning models at scale. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. 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: Seoul 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. About The Job   Mistral AI is seeking Applied Scientists and Research Engineers to drive innovative research and collaborate with clients on complex research projects. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle.   What you will do   • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk. • Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations. • Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. • Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines. • Manage research projects and communications with client research teams.   About you   • You are fluent in English and Korean, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences. • You’re an expert with PyTorch or JAX. • You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance. • You write clean, readable, high-performance, fault-tolerant Python code. • You don’t need roadmaps: you just do. You don’t need a manager: you just ship. • Low-ego, collaborative and eager to learn. • You have a track record of success through personal projects, professional projects or in academia.   It would be great if you    • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply. • Can bring a variety of research experience (agents, multi-modality, robotics, diffusion, time-series). • Have contributed to a large codebase used by many (open source or in the industry). • Have a track record of publications in top academic journals or conferences. • Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.   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; Amsterdam; Munich; London; Brussels; Berlin 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 looking for a hands on, forward-thinking Privacy Legal Counsel to shape and scale our global privacy strategy across cutting-edge AI products, frontier research, commercial partnerships, and internal core operations. This isn't a typical compliance role focused on boilerplate checklists. Instead, you'll sit right at the heart of innovation, embedding directly with world-class researchers, engineers, product managers and other business leaders to invent impactful, privacy-first solutions for our fast-paced and rapidly evolving AI offerings. Reporting to the Privacy Legal Lead, you will act as a key strategic partner, mastering complex data flows, evaluating emerging risks with innovative judgment, and empowering cross-functional teams to build fast with confidence. We are looking for a qualified lawyer with approximately 5–8 years' post-qualification experience in data protection / privacy law, ideally with prior in-house or technology-sector exposure. Where You'll Make an Impact 1. Champion Privacy-by-Design for our Next-Gen AI Products - Guide products from concept to launch by championing privacy-by-design for new AI products, features, and cloud infrastructure. - Translate nuanced legal requirements into actionable, developer-friendly product roadmap items and operational frameworks. - Stay ahead of global AI and data privacy regulations, translating emerging laws into proactive business strategies. 2. Architect Scalable Privacy Operations - Architect next-generation privacy workflows from the ground up, identifying opportunities to automate compliance and eliminate friction. - Elevate our core privacy documentation (including DPIAs, ROPAs, TIAs, policies, and public-facing notices) to ensure they are clear, robust, and modern. - Streamline day-to-day tasks and governance mechanisms to support rapid scaling while ensuring uncompromised data protection. 3. Empower Other Teams - Lead discussions on complex topics including international data transfer frameworks, vendor management, and cross-border data protection strategy. - Provide responsive, practical legal support across HR, Marketing, Sales, IT, Security, and Executive leadership. - Create engaging, non-legalistic training and self-serve resources that empower non-legal teams to act with speed and autonomy.   What We're Looking For   • Background : Master degree in law, a bar admission is a plus, as well as an experience in a fast-growing environment • Experience: 5 -8 years of experience in a law firm or in a tech company, in IT law and specifically in privacy law and GDPR compliance • Knowledge of privacy law: The candidate has a good knowledge of privacy regulations and guidance from national supervisory authorities as well as the EDPB • Knowledge of Artificial Intelligence: An understanding of artificial intelligence technologies and their applications is essential • Solution oriented approach: The ideal candidate should be able to identify compliance issues and develop effective strategies to address and resolve them. They should be capable of implementing practical solutions • Project management: The candidate has good project management skills • Analytical Skills: Ability to analyze complex legal and technical issues related to AI and to identify potential legal risks and solutions is important. Candidates should be detail-oriented and have strong problem-solving skills • Communication Skills: Excellent written and verbal communication; Strong ability to present complex legal concepts in a clear and understandable manner. Business oriented • International mindset: An international experience is a plus • Adaptability: Given the rapidly evolving nature of AI technologies and the legal landscape surrounding them, candidates should be adaptable and willing to continuously learn and update their skills and knowledge. Ability to work independently and in a team-oriented, collaborative environment. Proactive, flexible, and able to manage multiple priorities in a fast-paced environment   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. THE ROLE As a People Operations Manager on the People team, you will build, scale, and maintain the operational foundation that supports our team in France. This role exists to ensure our daily HR processes run seamlessly, keeping the company fully compliant while delivering a reliable, clear, and high-quality experience for every employee. You will act as the primary point of contact for employee lifecycle milestones, everyday operations, and external vendor relations. Your impact will be felt directly through the precision of our monthly payroll, the clarity of our internal policies, and the efficiency of our onboarding systems. This position requires a balanced blend of hands-on administrative execution and process engineering. You will own the full operational landscape—from local labor contracts and complex immigration cases to scaling our HRIS software—while constantly identifying opportunities to automate workflows and reduce friction. WHAT YOU WILL DO - Process payroll end-to-end for France-based employees, collaborating closely with external providers and our internal Finance team to ensure timely, precise execution. - Own the onboarding journey, managing labor contracts, amendments, certificates, and system updates so new hires are integrated accurately from day one. - Navigate immigration and mobility requests, directly managing work permits, visa renewals, and National Security Number applications. - Resolve daily employee inquiries regarding benefits administration, enrollment changes, and company policies with clear and prompt support. - Maintain compliance infrastructure, regularly updating employee handbooks and monitoring shifts in French employment law to protect the company. - Lead HR software initiatives and vendor management projects to evaluate, implement, and refine our HRIS and payroll tools. - Streamline operational workflows by documenting, automating, and auditing existing procedures to eliminate administrative bottlenecks. WHAT WE'RE LOOKING FOR - 5 to 10 years of progressive HR experience, ideally within a startup or high-growth environment, alongside a degree in HR, Business Administration, or a related field. - Deep operational knowledge of French labor laws, local employment regulations, national payroll structures, and tax compliance. - Proven experience managing the entire employee lifecycle from onboarding through retention strategies to formal offboarding. - Technical proficiency with modern HR technology solutions, including HRIS platforms and automated payroll tools. - Strong analytical and problem-solving skills, with the ability to interpret regulatory updates into practical internal policies. - A practical, hands-on execution style combined with a builder mindset—you genuinely enjoy creating order out of ambiguity and setting up scalable systems. - Clear, direct communication and interpersonal skills to manage sensitive employee topics and coordinate effectively with external vendors.     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: USA (Remote); Argentina (Remote); Mexico (Remote); Taiwan (Remote); India (Remote); Indonesia (Remote) Workplace: Remote ABOUT LILT LILT is building AI for a multilingual world — helping enterprises connect with their customers in any language. Our multimodal AI platform pairs with a global network of expert linguists and AI data specialists to deliver accuracy at scale, powering translation, model evaluation, and human-in-the-loop AI data programs for many of the world’s largest brands. ABOUT THE ROLE The Talent & Community team is the engine behind LILT’s global network of expert linguists and AI data specialists. As Talent Manager, you’ll own the full expert lifecycle — sourcing, vetting, testing, onboarding, and database management — ensuring LILT always has the right expert talent, in the right languages and disciplines, ready to support enterprise-scale multilingual and multimodal AI programs. This is a generalist role at the center of how we build and grow our expert talent pool. You’ll run internal and external sourcing campaigns, design and administer testing that keeps our quality bar high, and make sure every new expert is onboarded smoothly and reflected accurately in our systems. Reporting to the Director, Talent & Community, you’ll work closely with Production, Quality, and Revenue stakeholders across the business. WHAT YOU'LL DO - Own internal and external sourcing campaigns to build and maintain a healthy pipeline of expert linguists and AI data specialists across languages and disciplines. - Design, administer, and score vetting and testing assessments that evaluate candidate quality and fit before onboarding. - Manage end-to-end onboarding for new experts, ensuring materials and processes deliver a smooth, professional experience and desired outcomes. - Maintain accurate, up-to-date records in the expert database to support fast, reliable assignment decisions. - Liaise with Production and Revenue stakeholders to align sourcing plans with account and project requirements. - Analyze pipeline and database data to identify sourcing gaps across accounts and disciplines, and use it to inform recruitment plans. - Partner with team members to ensure a smooth, timely candidate experience from application through onboarding. - Look for opportunities to streamline and improve sourcing, vetting, and onboarding processes, and provide ongoing training and support to junior team members. WHAT YOU'LL BRING - Experience in Applied AI (e.g., AI data sourcing, model evaluation, human-in-the-loop programs) and/or localization vendor management — recruiting, vetting, and onboarding linguists or other language professionals. - A track record running large-scale multilingual projects across multimodal disciplines (text, audio, image, and video). - Solid organizational skills, meticulous attention to detail, and the ability to prioritize competing demands under deadline pressure. - Professional-level English; additional languages are a plus. - Bachelor’s degree required. NICE TO HAVE - 2+ years in a recruiting, sourcing, vendor management, or talent acquisition role, ideally within localization, language services, or AI data. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

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; 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: Munich 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 German and English - 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: Stockholm 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:   - Proven 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 - Outstanding negotiation and communication skills 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: APAC About the Role OKX is looking for a Senior Director of AI to lead both people and product — building and managing a high-calibre AI team while staying deeply involved in the design, evaluation, and production deployment of autonomous agent systems. This role calls for a leader who leads by doing: technically grounded, sharp on product judgment, and able to translate both into tangible business outcomes. What You'll Do Team Leadership — Build, manage, and develop a team of AI engineers and researchers; own hiring, growth, and performance across the function Agent Product Delivery — Lead end-to-end delivery of autonomous AI Agent products, covering the full lifecycle from requirements and architecture through to production operations Eval-Driven Development — Establish benchmark-driven evaluation frameworks that replace manual iteration with quantifiable quality signals across agent systems Agent Harness Design — Design and implement end-to-end Agent Harness infrastructure to ensure agent stability and reliability in complex, real-world scenarios LLM Orchestration — Orchestrate creative reasoning steps alongside deterministic guardrails, finding the right balance between flexibility and control Engineering Workflow Integration — Embed AI Agent capabilities deeply into core products and engineering pipelines, improving both developer productivity and business value Cross-functional Alignment — Collaborate with product, engineering, and business teams to ensure technical direction stays tightly aligned with strategic priorities What We're Looking For Must-have Master's or PhD in Computer Science, Artificial Intelligence, or a related field (PhD preferred) 10+ years of experience in AI/ML research, productization, or platform development, including core technical or leadership roles at globally recognized technology companies Deep expertise in LLMs and Generative AI, deep learning, reinforcement learning, recommendation systems, and related areas Proven track record of translating AI capabilities into measurable business outcomes End-to-end delivery experience with autonomous AI Agent products, from inception and architecture through to production operations Hands-on experience integrating AI deeply into engineering and development workflows — such as AI coding assistants, automated code review, or developer productivity tooling Proficiency in Mandarin and English is required to collaborate across our multilingual, cross-regional teams Nice to have Background at an AI-native startup or frontier AI lab, with familiarity with fast-cycle product iteration AI publications, patents, or industry-recognized technical contributions Familiarity with the unique technical challenges of applying AI in crypto, fintech, or high-frequency data environments 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 .