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Location: Flexible Workplace: Remote Job Title: Senior Legal Counsel, Financial Partnerships & Regulatory Department: Legal Reports to: Head of Legal Location: APAC About Codex Codex is building the infrastructure for stablecoin-based cross-border payments — moving money faster, cheaper, and more transparently than the legacy financial system. Backed by Circle, Coinbase, Dragonfly, Wintermute, and Cumberland, we're a small team solving hard problems at the intersection of crypto and global payments. The Role Codex's product offering and financial partnership network is expanding rapidly — new payment providers, banking partners, and liquidity providers globally. The legal work that underpins those relationships needs to move at the same pace as the business. This role exists to make that happen. You'll own the legal workstream for financial partnerships end-to-end — reviewing and negotiating FP contracts, managing due diligence requests, and advising on the regulatory implications of new products, corridors, and partner structures. You'll work closely with the Head of Legal and report into the legal function, with tight day-to-day collaboration with the Financial Partnerships, Product and Compliance teams. This is a senior individual contributor role for someone who has done this work before and can operate with a high degree of autonomy.   Responsibilities Financial Partnership Contracts - Review, negotiate, and execute commercial agreements with financial partners — payment providers, banking counterparties, liquidity providers, and PSPs - Own the contract lifecycle end-to-end: preparing markups, tracking open issues, coordinating with counterparties, and driving to execution without losing momentum - Maintain and update standard form FP agreements as the regulatory and commercial environment evolves - Advise the Financial Partnerships and Sales teams on commercial terms, entity routing, and deal structuring across multi-entity, multi-jurisdiction arrangements Financial Partner RFIs & Due Diligence - Manage inbound legal and regulatory due diligence requests from financial partners — collating documentation, preparing regulatory status summaries, and coordinating with Compliance on AML/CFT-related queries - Prepare and maintain legal memos, licensing summaries, and corporate documentation packages for partners requiring clarity on Codex's regulatory status and entity structure - Ensure Codex's outbound KYB documentation to financial partners is accurate, current, and responsive Product Regulatory Analysis - Analyse the regulatory implications of new products, payment corridors, and client segments before they go live — identifying licensing requirements, restrictions, and structural considerations across relevant jurisdictions - Advise Product and Engineering on the legal constraints that affect feature design, entity routing, and market entry sequencing - Monitor regulatory developments across key jurisdictions (APAC, LATAM, EMEA) and brief the legal and business teams on material changes What We're Looking For - Qualified lawyer with 10+ years of experience, ideally combining a first-tier law firm foundation with in-house experience at a fintech payments company - Deep expertise in financial partnership contracts and payments regulation — this is a domain specialist role, not a generalist one - Comfortable operating autonomously: you can pick up a complex contract, identify the issues, and drive it to execution without needing significant direction - Commercially aware — you understand that legal is an enabler of the business, not a gate, and you give advice accordingly - Meticulous and detail-oriented, with the communication skills to translate complex legal positions into clear guidance for non-lawyers - Based in APAC or a time zone that overlaps meaningfully with the team Nice to Have - Experience across multiple APAC and other regions and familiarity with the regulatory frameworks governing cross-border payments and digital assets in the region - Exposure to stablecoin or digital asset regulation - Prior experience as a solo or early legal hire at a fast-growing fintech

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

Location: Austria; Switzerland; United Kingdom; Spain; Portugal; Belgium About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the company Our client is a global strategic consultancy and digital solutions provider specializing in ERP, EPM, and AI-driven process automation. As a leading CFO advisory firm with a presence across Europe, America, and Asia, the team helps mid-sized enterprises navigate complex digital transformations. They bridge the gap between financial strategy and technology by implementing scalable software architectures that integrate finance, HR, and operational systems. By automating manual workflows and ensuring data consistency, they empower businesses to increase profitability and streamline decision-making. Job Summary We are seeking a high-energy, independent Sales Development Representative to join a global professional services firm at the forefront of digital transformation. In this role, you will be the engine of our growth, engaging directly with CFOs and finance leaders across the DACH region to help them optimize their financial systems through AI-driven automation and ERP solutions. This is an ideal opportunity for a persistent, native German speaker who thrives in a structured outbound environment and wants to play a pivotal role in building a high-value sales pipeline. Key Responsibilities Conduct high-volume outbound prospecting, maintaining a baseline of 120+ calls per day. Proactively identify, reach out to, and qualify leads to convert them into Sales Qualified Leads (SQLs). Master the value proposition of ERP, EPM, and automation solutions to engage prospects in meaningful business conversations. Collaborate closely with the senior sales team to ensure a seamless handover of qualified opportunities. Maintain rigorous data integrity and activity tracking within the company CRM. Consistently meet and exceed KPIs related to call volume, lead quality, and pipeline contribution. Requirements Native-level fluency in German (mandatory). Exceptional verbal and written communication skills with the ability to navigate complex business conversations. Proven ability to work autonomously and maintain high activity levels in a remote, offshore setting. A resilient, "hunter" mindset with a disciplined approach to daily cold calling. Ability to work CET hours with flexibility to ensure core team overlap. Nice-to-Haves Proven track record of success in cold calling or business development roles. Prior experience in SaaS, Fintech, or the professional services industry. Familiarity with HubSpot or similar modern CRM platforms. Understanding of financial systems or ERP software (e.g., NetSuite). Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Dhahran, Saudi Arabia Eram Talent is seeking an experienced Drafting Trainer specializing in the Oil & Gas sector to join our team. The Drafting Trainer will be responsible for designing, developing, and delivering comprehensive training programs focused on drafting techniques, software applications, and industry standards specific to the oil and gas industry. The role involves mentoring and upskilling drawing and drafting professionals to enhance their technical skills and ensure adherence to safety and quality standards. This position requires strong expertise in drafting software and proven teaching abilities to effectively communicate complex concepts. Responsibilities: Develop and deliver training programs on drafting software and techniques related to the Oil & Gas industry Provide hands-on training sessions and workshops to enhance technical skills of participants Assess training needs and adapt programs accordingly to meet specific client and industry requirements Evaluate trainees’ progress and provide feedback and support for improvement Stay updated with the latest drafting technologies, software, and industry standards Prepare training materials, manuals, and documentation Collaborate with management and technical teams to ensure training aligns with project goals and regulatory compliance Requirements Bachelor’s degree in Engineering, Architecture, or a related technical field Proven experience in drafting within the Oil & Gas industry Strong proficiency in drafting software (e.g., AutoCAD, MicroStation, PDMS, SmartPlant) Experience in delivering training or teaching technical subjects to professionals Excellent communication and interpersonal skills Ability to develop clear and effective training materials Knowledge of Oil & Gas industry standards and safety regulations Strong organizational and presentation skills Ability to customize training to accommodate different skill levels and learning styles

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

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

Location: Paris; Palo Alto; 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. THE ROLE As a Strategic Data & Licensing Partnerships Negotiator on the Strategic Data & Licensing Partnerships team, you will drive the acquisition of premium content and negotiate complex agreements to secure high-value data and content for AI training, RAG, and distribution. Your work will enable Mistral AI to access quality, relevant sources while building long-term relationships with publishers, universities, research institutions, and data providers. You will collaborate closely with cross-functional teams to align content sourcing with Mistral AI’s strategic interests, ensuring innovative and ethical use of data. This role is for a results-driven negotiator who thrives in high-stakes deal-making and understands the intersection of AI, academic content, and ethical data practices. WHAT YOU WILL DO - Build and manage a pipeline of high-quality content (STEM, academic, robotics, multimedia) while vetting providers for legal and business compliance. - Negotiate complex, multi-pronged agreements (licensing, revenue-sharing, co-development) with publishers, universities, and research institutions. - Develop long-term partnerships that promote fair compensation and sustainability for content creators and owners. - Collaborate with internal teams (Science, Product, Go To Market) to align procurement with their objectives and evaluate "make vs. buy" options. - Provide regular reports and analytics on procurement activities to support data-driven decision-making. - Design programs that foster ethical and scalable content sourcing, balancing internal development with external licensing. WHAT WE'RE LOOKING FOR - Proven track record negotiating and closing complex deals ($10M+), including licensing, revenue-sharing, or co-development agreements. - Deep understanding of AI training data ecosystems and the ability to translate technical needs into business terms. - Legal acumen in data acquisition and content licensing, including knowledge of global copyright laws. - Strong STEM background (degree in Science, Technology, Engineering, Mathematics, or related field) and passion for academic content. - Excellent communication and stakeholder management skills, with experience negotiating with C-level stakeholders. - Business acumen in market analysis and financial modeling (e.g., DCF analysis). - Fluency in English and French; additional languages (e.g., German) are a plus. - Existing network in publishing, academic, or research communities or experience with AI training data (pretraining, RAG, synthetic data). 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: Palo Alto; San Francisco Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a US Patent Attorney on the legal team, you will transform cutting-edge research into a strategic intellectual property portfolio that protects Mistral AI’s innovations and supports its global growth. You will work closely with research, engineering, and product teams to identify, prioritize, and secure patentable inventions, shaping the future of open-source AI while aligning IP strategy with the company’s mission. The legal team, currently comprising 30 people across Paris, London and Palo Alto, covers compliance, IP, contracts, and corporate matters. Your role will have a direct impact on defining AI standards, securing strategic assets, and embedding IP thinking into the company’s culture and processes. WHAT YOU WILL DO - Identify and prioritize patentable inventions by engaging with researchers, engineers, and product managers, advising on trade secrets vs. patent filings. - Draft invention memos and patent applications, translating complex technical ideas into clear, defensible disclosures. - Manage global patent prosecution, including office action responses and outside counsel, to ensure high-quality filings. - Develop and maintain internal IP processes, tools, and documentation, including dashboards for tracking filings, deadlines, and portfolio metrics. - Support M&A due diligence by assessing IP portfolios, freedom-to-operate risks, and competitive positioning of targets. - Administer and evolve the inventor recognition program, including bonuses, awards, and visibility initiatives. - Align patent strategy with Mistral’s open-source objectives and recommend participation in defensive patent networks or alliances. WHAT WE'RE LOOKING FOR - Proven experience drafting patents in complex software/AI domains, with a deep understanding of AI patent eligibility in the US and Europe. - Hands-on experience with LLMs or other GenAI technologies, including the ability to decode and articulate technical concepts like model architectures or training methods. - Experience selecting, managing, and optimizing external patent firms to ensure high-quality, cost-effective prosecution. - Ability to engage with researchers and engineers, extract critical information, and explain IP concepts to non-legal audiences. - Self-driven and resourceful, with a talent for anticipating needs, engaging stakeholders, and documenting processes. - Business acumen to understand how patents drive value for a scale-up, combined with familiarity with open-source licenses and their intersection with patents. - Fluent English (required for legal/technical writing); WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Code Data Annotation Quality Specialist on the Human Data Annotation team, you will play a dual role in ensuring the quality of code annotations and maintaining the tools that support annotators. This role exists to uphold the highest standards for data used in training and evaluating AI models, while also improving the workflows and tools that enable efficient annotation. You will spend most of your time reviewing and auditing annotations against rubrics, with the remainder focused on building, maintaining, and troubleshooting internal tooling. Your collaboration with annotators, technical program managers, and engineers will help refine the guidelines and processes that shape how our data is produced. WHAT YOU WILL DO - Generate and validate high-quality data annotations based on guidelines and continuous feedback. - Surface systemic issues, edge cases, and gaps in guidelines to annotation operations and technical stakeholders. - Produce annotations yourself to model the quality bar expected of the team. - Build and maintain internal tools and automation to streamline annotator workflows, such as dashboards, scripts, and utilities. - Troubleshoot environment, tooling, and version control issues for annotators, liaising with IT and engineering as needed. - Collaborate with stakeholders to refine guidelines and processes for data production. WHAT WE'RE LOOKING FOR - A degree in computer science, engineering, or a related field, or 2 to 5 years of professional experience in software engineering, technical support, or tool development. - Hands-on experience using code agents in your development workflow and a genuine interest in their evolution. - Proficiency in at least one programming language (e.g., Python, JavaScript), with the ability to read and reason about code across multiple languages. - Ability to apply consistent judgment against a rubric and identify edge cases, ambiguities, or gaps in guidelines. - Sustained focus and accuracy for detail-oriented, high-volume review work. - Comfort working in a Unix-like terminal, including shell basics, package managers, environment setup, and version control workflows. - Ability to troubleshoot local development environment issues across common operating systems. - Professional proficiency in English, with strong writing and comprehension 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: 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 Data Quality Specialist on the Human Data Annotation team, you will ensure the highest standards of quality and efficiency in human data annotations. This role exists to support the development and evaluation of AI models by creating and auditing annotations that meet rigorous guidelines. You will work closely with the technical team to refine annotation processes, tools, and guidelines, directly contributing to the accuracy and reliability of our models. Your attention to detail and analytical skills will help maintain the integrity of the data that powers Mistral’s AI systems. What You Will Do - Create high-quality data annotations based on guidelines and continuous feedback. - Review and audit annotations to clarify requirements and improve annotation processes. - Collaborate with the technical team to share insights that enhance tools and guidelines. - Apply strong research and analytical skills to ensure data accuracy and consistency. - Exercise sound judgment when working with complex instructions, limited data, or multiple information sources. - Adapt to dynamic environments and evolving requirements to maintain high standards. - Contribute to operational workflows with a high tolerance for repetitive tasks. What We're Looking For - Relevant academic background in science, technology, engineering, or mathematics. - Professional proficiency in English, with strong writing and comprehension skills. - Outstanding research and analytical abilities to ensure data quality. - Excellent communication, interpersonal, and organizational skills. - Ability to adapt easily to changing requirements and dynamic environments. - Willingness to engage in operational work and learn new tools and technologies. - Experience with data, fluency in multiple languages, or familiarity with code is a plus.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Key Responsibilities: — Develop and implement gameplay mechanics, systems, and tools. — Collaborate with designers and artists to bring game features to life. — Optimize code for performance and memory usage. — Debug and resolve technical issues throughout the development cycle. — Contribute to the design and improvement of game engines and pipelines. Requirements: — Proven experience as a Programmer in game development or a related field. — Proficiency in programming languages like C++, C#, or Python. — Experience with game engines like Unreal Engine or Unity. — Strong problem-solving and debugging skills. — Excellent communication and teamwork abilities. Preferred Qualifications: — Experience with multiplayer or networked game development. — Knowledge of graphics programming (e.g., HLSL, GLSL). — Familiarity with AI programming and physics simulations. What We Offer: — Competitive salary and benefits. — Opportunity to work on exciting, high-profile game projects. — Collaborative and inclusive work environment. — Professional growth and development opportunities.

Location: Yanbu, Saudi Arabia; Manila, Philippines; Colombo, Sri Lanka; Dubai, United Arab Emirates; Kuala Lumpur, Malaysia; Kampala, Uganda Eram Talent, a reputable talent acquisition consultancy focused on providing top-notch recruitment solutions for its clients, is seeking to hire a Mechanical Technician for its Oil and Energy division. As a Mechanical Technician at Eram Talent, you will be responsible for ensuring that the mechanical systems and components of various projects, particularly in the oil and energy sector, are installed and maintained efficiently. You will also work closely with other technicians to analyze and troubleshoot mechanical issues, as well as recommend effective solutions for clients. Eram Talent prides itself on its extensive global reach and network, which ensures that high-potential professionals with sophisticated skills from various industries are recruited to meet the needs of clients across different geographies. Responsibilities S hould have a Diploma in Mechanical engineering or vocational certificate in appropriate discipline and a minimum experience of 5 year in mechanical maintenance of equipment similar those in a large utility company or experience in large petrochemical /refinery .shall have been in the field of repair, maintenance servicing and overhaul. He should have experience in operation of mechanical and electro mechanical equipment and system He shall be conversant with usage of measuring and testing instrument. Maintain and repair mechanical systems and components in various oil and energy projects. Perform routine maintenance on mechanical equipment and machinery. Monitor and inspect mechanical systems and related work to ensure compliance with safety regulations and industry standards. Troubleshoot and diagnose mechanical problems and recommend effective repair solutions. Read and interpret technical drawings and schematics related to mechanical projects. Collaborate with other technicians and engineers to provide effective mechanical solutions. Participate in the commissioning and start-up of new mechanical systems. Requirements Proven experience as a mechanical technician in a utility industry. Strong knowledge of mechanical systems, equipment, and components. Demonstrated ability to read and interpret technical drawings and schematics. Excellent analytical and problem-solving skills. Good communication and interpersonal skills. Ability to work under pressure and handle multiple tasks efficiently. Knowledge of safety regulations and industry standards.

About the Role We are a Las Vegas based game studio born on the Roblox platform and built by people who genuinely love this community. As a community-first studio, we care as much about our worlds and players as we do about the people building them. That mindset has helped us grow into one of the most innovative teams on Roblox, pushing boundaries, shaping culture, and setting new standards across the platform. With over 8B game visits, 44M monthly players, and a 19M member community, our worlds have become a core part of the Roblox ecosystem. We’re a ten-time winner of the Roblox Innovation Awards and recognized as builders of the future of the platform. From Creatures of Sonaria and Dragon Adventures to World // Zero and Horse Life, we create experiences that players live in, not just visit. What we are looking for We're looking for a passionate, data-driven Product Manager to join our game teams. In this role, you'll own the product vision and roadmap for your game, partnering closely with Design, Engineering, Art, Marketing, and Commerce to ship features that delight players and drive long-term growth. You'll sit at the intersection of player experience, game design, and live-ops, working within the unique constraints and opportunities of the Roblox platform, where your players are vocal, your community is enormous, and your updates ship in weeks, not quarters. Responsibilities: — Own and drive the product roadmap for your game, from ideation through launch and post-launch iteration. — Analyze game metrics and player behavior to identify opportunities, diagnose problems, and measure the impact of shipped features. — Stay close to your game's community to understand what players love, what frustrates them, and what they're asking for next. — Collaborate with creative leadership to plan seasonal content, events, and monetization updates that resonate with your players. — Partner with design, engineering, and art teams to translate product vision into well-scoped, executable work. — Define and prioritize features based on player feedback, data, and strategic goals — Write clear product specs and briefs that give your team everything they need to build with confidence. — Run sprint planning, reviews, and retrospectives to keep the team focused and unblocked. — Communicate progress, risks, and learnings to stakeholders clearly and proactively. — Foster a culture of focus, momentum, and fun across your team. Requirements: — 1–3 years of experience as a Product Manager or Producer in gaming. — Strong analytical mindset. You are comfortable working with data to inform decisions and measure outcomes. — Experience owning a product roadmap end-to-end, including prioritization, scoping, and shipping. — Familiarity with Roblox Studio. You don't need to write Lua, but you should be able to open a place in Roblox Studio, navigate a game hierarchy, understand how assets and scripts are organized, and speak credibly with developers about scope and feasibility. — Excellent written and verbal communication skills. You can write a crisp spec and present a clear recommendation to leadership. — Experience with live service products and the cadence of ongoing updates, events, and seasonal content. — Collaborative by nature. You work well across disciplines and know how to build trust with creative and technical partners. — Comfortable using tools like Notion, Google Suite, Discord, or similar for roadmap management and documentation. Location: This is a remote-first role open to candidates anywhere in the world. Las Vegas-based team members work in-office Tuesday through Friday (Monday optional). If Vegas sounds fun, we offer relocation support for candidates interested in moving here. In-office perks include daily DoorDash credits to keep you fed, commuter credits to cover your ride in, and a monthly game stipend because we think playing games is part of the job. We are actively building a UK talent hub in anticipation of a dedicated UK office. Candidates across the UK are warmly encouraged to apply.

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

Location: Cyprus, Ypsonas, Greece Join FxPro: a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Nassau, Dubai and Yerevan. FxPro boasts a diverse workforce of over 600 employees representing 40 nationalities, making it an exciting and dynamic workplace. At FxPro , we see each team member as an integral part of our success story. As a System Analyst , you will play a key role in the development of FxPro’s core product. You will work closely with product managers, development teams, QA engineers, and other stakeholders to analyze business needs, design system behavior, describe integrations, and prepare clear development-ready specifications. You will be involved in both new functionality and improvements to existing services, including the analysis of legacy flows, system integrations, and production behavior. Project and technical context The product is based on a microservice architecture. The backend is mainly built with Node.js and integrates with multiple internal and external systems using REST, gRPC, and message brokers. The role requires strong analytical skills, technical understanding, and the ability to translate business needs into clear system requirements and development tasks. Responsibilities Analyze business needs and transform them into clear system requirements Design business logic for new and existing microservices Prepare development-ready artifacts: functional and non-functional requirements, specifications, process diagrams, use cases, user stories, and tickets Model system interactions and integrations using Sequence diagrams and C4 diagrams Design and document integration contracts between systems, including REST APIs, gRPC services, and message broker flows Collaborate with development, QA, product, and other cross-functional teams Analyze logs and investigate system behavior using tools such as Graylog and Kibana Perform reverse engineering of legacy functionality and document existing system behavior Support development teams during implementation and clarify requirements when needed Maintain comprehensive and structured technical documentation Requirements 3+ years of experience as a System Analyst Experience in integration analysis and understanding of client-server interaction principles Understanding of web services, APIs, REST, OpenAPI, gRPC, and message brokers Experience with UML, BPMN, ERD, Sequence diagrams, and C4 diagrams Understanding of databases and ability to read data structures and write basic to intermediate SQL queries Experience creating detailed system specifications, diagrams, flowcharts, and integration documentation Ability to analyze complex systems and describe business and system logic clearly Experience working with development teams and preparing tasks for implementation Excellent verbal and written communication skills Strong collaboration and teamwork abilities Attention to detail and ability to work with incomplete or legacy documentation Benefits Competitive compensation package Medical insurance Provident fund In-house gym with a personal trainer Free daily lunch catering, snacks, and beverages Company discount card for various products & services 21 days of annual leave and 10 days of sick leave annually Shuttle bus service from Limassol Birthday gift Relocation bonus and visa/work permit support

Location: Remote - Canada We’re introducing Rust where correctness, performance, and reliability truly matter. Narvar is Growing! Narvar is a multi-language platform, and we’re intentional about where we apply Rust. We’re looking for senior engineers to help us bring Rust into the backbone of the system — the parts that must be fast, safe, and correct under real-world scale. This role is for engineers who want agency: people who enjoy identifying the right problems, choosing the right tools, and owning systems end-to-end. You won’t be handed a narrow ticket queue. You’ll help decide what gets built and how it should be built. For this role, you should be located in Canada and able to work within EST/EDT or PDT/PST hours. We are fully remote. Day-to-day Design and build high-correctness Rust services that sit on critical platform paths Introduce Rust into areas where safety, determinism, and performance are essential Own systems from architecture → implementation → rollout → operations Make real decisions around concurrency, async boundaries, data integrity, and failure modes Work across service boundaries in a polyglot environment (Rust alongside other stacks) Collaborate with product, design, and frontend engineers to build systems that are technically sound and product-aware Improve reliability, observability, and system behavior through design, not just patching Mentor other engineers and raise the bar on system quality and ownership What We’re Looking For We care more about judgment and ownership than credentials. You’re likely a strong fit if you: Have built and operated distributed systems in production Have deep hands-on Rust experience (not just experiments or side projects) Understand where Rust shines — and where it doesn’t Are comfortable reasoning about concurrency, async systems, and correctness guarantees Have experience designing APIs and data contracts that evolve safely over time Have worked with relational and/or NoSQL databases at scale Have deployed and operated services in AWS or GCP (We are a GCP Shop though!) Take initiative naturally and are comfortable operating with ambiguity Communicate clearly and make tradeoffs explicit Bonus Points These aren’t hard requirements, but strong indicators: You’ve worked in startup or high-ownership environments You’ve owned systems in production, including on-call responsibility You’re comfortable moving across the stack when needed (backend-first, full-stack aware) You’ve influenced architecture by earning trust, not by mandate You use modern tooling (including AI-assisted workflows) to increase leverage , not outsource thinking (Note: we care about outcome and judgment, not how flashy your tools are.) Why Rust at Narvar? Because some parts of the system deserve stronger guarantees. We use Rust where: Bugs are expensive Latency and throughput matter Safety and correctness are non-negotiable You’ll help define where Rust belongs , not just write Rust in isolation. Why Narvar (From an Engineer’s Perspective)? Real scale, real customers, real impacts Startup-level ownership with platform-level impact Teams that value thinking, judgment, and responsibility Low ego, high trust, and room to do your best work Why Narvar? We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform! From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages. Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.

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

Location: Paris; 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. THE ROLE Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns 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. - 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 retrieval pipelines. - Manage research projects and communications with client research teams. WHAT WE'RE LOOKING FOR - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - 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. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. - Preferred duration: at least 6 months. Priority to candidates about to finalise their studies. - Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. Location & work authorization: This internship is available only in France or the UK. Please apply only if you have the required work authorization to complete the internship in the relevant country for its full duration. 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.