AI Data Science & Analytics Jobs

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.Replit is experiencing extraordinary demand and seeking a Mid-Market Account Executive with strong communication skills to drive our hyper-growth. Candidates with Mid-Market SaaS experience, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal.This full-cycle sales position encompasses both new client acquisition and existing customer support and retention, spanning all segments and geographies.We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for driving sales and AI. You'll leverage your skills to effectively communicate Replit's value proposition: a world where anyone can create software using natural language.In this role you will…Evangelize a future where anyone can create software in natural language, ushering in a change in the nature of the firm on par with the PC eraServe as the primary point of contact for prospects and customers, guiding them through the buying journeyConduct compelling product demonstrations and help realize the art of the possible by orchestrating non-engineering hackathonsArticulate Replit's value proposition and align it with customers' business objectivesCollaborate with product and engineering teams to ensure technical accuracy and successful deliveryPrepare tailored quotes and skillfully negotiate dealsMaintain accurate customer and forecasting data in Replit’s CRM (Hubspot)Foster strong relationships with existing clients while identifying opportunities for expanded adoptionOptimize customers' use of the Replit platform through ongoing collaboration and supportGather and communicate valuable customer feedback, championing their interests within Replit Required skills and experience:Experience in AE or SE/technical sales role, preferably in SaaS or developer toolsExcellent communication skills, with the ability to explain technical concepts to both technical and non-technical audiencesProven track record of meeting or exceeding sales quotasExperience with, or direct observations of full-cycle sales, from prospecting to closing deals to managing existing customersProficiency in using CRM systems and sales tools (e.g., Hubspot)Ability to quickly learn and articulate the value of new technologiesStrong problem-solving skills and the ability to think on your feetSelf-motivated with excellent time management and organizational skillsPassion for technology and staying current with industry trendsExperience with or strong interest in AI and machine learning is a plusWillingness to travel up to 25% of the time for client meetings and eventsNice to have:You're an active Replit userYou've worked at an early-stage startup or in developer toolsDegree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)Tools + Tech Stack for this roleReplitHubspot CRMZoomInfoClaySmartLeadLinkedIn Sales NavigatorHashboard, HexThis role may not be a fit ifYou’re not based in the Bay area and/or willing to relocateYou lack an understanding of the software development lifecycle; have little to no coding knowledgeYou’re not passionate about AIYou don’t enjoy being in client facing roles where 80% of your day is talking to others Full-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

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About the TeamWith Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. The Codex Enterprise sub-team’s mission is to bring the world’s most powerful software engineer to the world’s largest companies safely, securely, and at scale.About the RoleThis role is for a software engineer working on Codex, with a specific focus on making it work well for our largest customers. You’ll work directly with customers, Go To Market (GTM) teams, and other engineers and researchers across Codex and OpenAI. You will turn diverse enterprise requirements into products that scale across organizations. The role bridges what enterprises need and what the broader Codex team builds, ensuring that enterprise capabilities are robust, repeatable, and deeply aligned with how developers work in real-world environments. You’ll own systems end-to-end (architecture, implementation, production operations) with a strong bias for both quality and velocity.In this role, you will:Ship enterprise-grade capabilities for Codex, including analytics and usage reporting, audit and compliance logging, sandbox and permissioning, admin roles and policy controls, regional execution and data residency, and on-prem orchestration.Design and build robust, full-stack services and APIs that power Codex across all surfaces including web, CLI, IDEs, Slack, and CI/CD, with strong observability and SLOs.Integrate with enterprise identity and governance systems (e.g., SSO/SAML/OIDC, SCIM, RBAC, policy enforcement), and build data-access patterns that are secure, performant, and compliant for large customers.Work closely with GTM teams and directly with enterprises to understand real-world developer workflows.Collaborate cross-functionally with product, research, design, and customer teams to deliver quickly while maintaining a high bar for quality and user experience.You might thrive in this role if you:Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience.Are proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security.Have built developer tools (CLI/IDE/SDK) or agent/sandboxed execution environments, especially in, or for, large enterprises. Experience delivering software on-prem would be a bonus..Have hands-on experience with enterprise and large-platform foundations such as identity (SAML/OIDC), SCIM, RBAC, audit logging, and data retention controls.Have experience working directly with customers as a customer engineer, solutions engineer or forward-deployed engineer.Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the RoleWe’re looking for a Senior Privacy Engineer to lead initiatives that ensure our products and infrastructure meet the highest standards of data protection and user privacy. You’ll work closely with cross-functional teams—including security, legal, product, infrastructure, and research—to design and implement privacy-enhancing technologies and compliance mechanisms at scale.This is a hands-on, high-impact role for an experienced engineer who is passionate about protecting user data while enabling innovation.This role is based in Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Architect and implement privacy-preserving systems across our data stack, including data collection, storage, processing, and access layers.Develop and apply privacy engineering frameworks (e.g., data minimization, differential privacy, anonymization/pseudonymization techniques) to production services.Build and scale privacy controls such as role-based access, audit logging, redaction/tokenization systems, data retention policies, and privacy incident detection.Partner with infrastructure and product teams to integrate privacy requirements into system designs from the ground up.Collaborate with legal, security, and compliance teams to translate regulatory obligations (e.g., GDPR, CCPA, HIPAA) into concrete technical controls and workflows.Conduct privacy risk assessments and help teams mitigate identified risks through design changes, automation, or monitoring.Mentor and support other engineers, elevating privacy as a core engineering discipline across the organization.Drive cross-org initiatives, such as privacy reviews, developer education, or privacy tooling roadmaps.You might thrive in this role if you:5+ years of industry experience in software engineering, security engineering, or privacy engineering, with significant ownership of privacy or data protection features.Strong software engineering fundamentals, with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java).Deep understanding of privacy technologies and principles, such as data anonymization, encryption, secure computation, privacy threat modeling, or differential privacy.Experience building scalable infrastructure and implementing controls in distributed systems, data platforms, or ML pipelines.Familiarity with global privacy regulations and their technical implications.Ability to influence and collaborate with teams across legal, compliance, product, and engineering.A bias toward practical, impactful solutions that balance privacy protections with product needs.Nice to HaveExperience with cloud platforms (e.g., Azure, AWS, GCP) and large-scale data systems.Background in security engineering, trust & safety, or data governance.Contributions to privacy open-source projects or research.Prior experience in a regulated or highly sensitive data environment.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamJoin the engineering teams that bring OpenAI’s ideas safely to the world!The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleWe’re seeking Software Engineers who can solve complex, high-impact problems across our stack. In this role, you’ll join a nimble team driving the deployment of OpenAI’s technology into new environments and infrastructure that power critical missions in the public sector.You’ll work cross-functionally with product, security, and compliance teams to build the functionality needed to deliver a scalable, reliable platform. You’ll also partner directly with customers to design and build new products and features that create real-world impact.From launching net-new capabilities to optimizing how we serve inference in unique, high-stakes environments, this role offers both breadth and technical depth—giving you the opportunity to shape the future of OpenAI’s technology where it matters most.This role is based in Washington D.C. and San Francisco, CA. Occasional travel to customer sites is required for this role.In this role, you will:Own the development of new customer-facing ChatGPT and OpenAI API features end-to-end, both on-premises and in the cloud, for our public sector customers.Partner and directly embed with teams across the business, including engineering, security, and compliance, to enable our products to work within the unique constraints of new environments.Talk to users to understand their problems and design solutions to address themWork with the research team to get relevant feedback and iterate on their latest models, developing solutions specific for public sector customers at both the model & data layers.Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge productsOptimize applications for speed and scaleYou might thrive in this role if you:US Citizen5+ years of relevant engineering experience at tech and product-driven companiesProficiency with JavaScript, React, and other web technologiesProficiency with some backend language (we use Python)Some experience with underlying infrastructure primitives like Kubernetes and TerraformInterest in AI/ML (direct experience not required)Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesAn interest in enabling public sector use cases with unique requirementsAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About MistralAt Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. 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, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do*Research and develop novel AI methods for general-purpose mobile manipulation robots*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 deploy AI systems on real robot platforms About you*You have hands-on experience either building and deploying AI systems on physical robots or developing large vision-language models*You are a highly proficient software engineer in at least one programming language (preferably Python)*You have hands-on experience with AI frameworks (preferably PyTorch)*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 experience in one or more of the following: navigation, manipulation, simulators, 3D, embodied reasoning or vision-language-action models*You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment*You have a strong publication record in a relevant scientific domain Benefits in France💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship

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Who We Are At RelationalAI, we are building the future of intelligent data systems through our cloud-native relational knowledge graph management system—a platform designed for learning, reasoning, and prediction. We are a remote-first, globally distributed team with colleagues across six continents. From day one, we’ve embraced asynchronous collaboration and flexible schedules, recognizing that innovation doesn’t follow a 9-to-5. We are committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of every team member and believe in fostering a culture of respect, curiosity, and innovation. We support each other’s growth and success—and take the well-being of our colleagues seriously. We encourage everyone to find a healthy balance that affords them a productive, happy life, wherever they choose to live. We bring together engineers who love building core infrastructure, obsess over developer experience, and want to make complex systems scalable, observable, and reliable.Machine Learning Systems Engineer  Location: Remote (San Francisco Bay Area / North America / South America) Experience Level: 3+ years of experience in machine learning engineering or research About ScalarLM This role will involve heavily working with the ScalarLM framework and team. ScalarLM unifies vLLM, Megatron-LM, and HuggingFace for fast LLM training, inference, and self-improving agents—all via an OpenAI-compatible interface. ScalarLM builds on top of the vLLM inference engine, the Megatron-LM training framework, and the HuggingFace model hub. It unifies the capabilities of these tools into a single platform, enabling users to easily perform LLM inference and training, and build higher lever applications such as Agents with a twist - they can teach themselves new abilities via back propagation. ScalarLM is inspired by the work of Seymour Roger Cray (September 28, 1925 – October 5, 1996), an American electrical engineer and supercomputer architect who designed a series of computers that were the fastest in the world for decades, and founded Cray Research, which built many of these machines. Called "the father of supercomputing", Cray has been credited with creating the supercomputer industry. It is a fully open source project (CC-0 Licensed) focused on democratizing access to cutting-edge LLM infrastructure that combines training and inference in a unified platform, enabling the development of self-improving AI agents similar to DeepSeek R1. ScalarLM is supported and maintained by TensorWave in addition to RelationalAI. The Role: As a Machine Learning Engineer, you will contribute directly to our machine learning infrastructure, to the ScalarLM open source codebase, and build large-scale language model applications on top of it. You’ll operate at the intersection of high-performance computing, distributed systems, and cutting-edge machine learning research, developing the fundamental infrastructure that enables researchers and organizations worldwide to train and deploy large language models at scale. This is an opportunity to take on technically demanding projects, contribute to foundational systems, and help shape the next generation of intelligent computing. You Will:  Contribute code and performance improvements to the open source project. Develop and optimize distributed training algorithms for large language models. Implement high-performance inference engines and optimization techniques. Work on integration between vLLM, Megatron-LM, and HuggingFace ecosystems. Build tools for seamless model training, fine-tuning, and deployment. Optimize performance of advanced GPU architectures. Collaborate with the open source community on feature development and bug fixes. Research and implement new techniques for self-improving AI agents. Who You Are Technical Skills: Programming Languages: Proficiency in both C/C++ and Python High Performance Computing: Deep understanding of HPC concepts, including: MPI (Message Passing Interface) programming and optimization Bulk Synchronous Parallel (BSP) computing models Multi-GPU and multi-node distributed computing CUDA/ROCm programming experience preferred Machine Learning Foundations: Solid understanding of gradient descent and backpropagation algorithms Experience with transformer architectures and the ability to explain their mechanics Knowledge of deep learning training and its applications Understanding of distributed training techniques (data parallelism, model parallelism, pipeline parallelism, large batch training, optimization) Research and Development  Publications: Experience with machine learning research and publications preferred Research Skills: Ability to read, understand, and implement techniques from recent ML research papers Open Source: Demonstrated commitment to open source development and community collaboration Experience 3+ years of experience in machine learning engineering or research. Experience with large-scale distributed training frameworks (Megatron-LM, DeepSpeed, FairScale, etc.). Familiarity with inference optimization frameworks (vLLM, TensorRT, etc.). Experience with containerization (Docker, Kubernetes) and cluster management. Background in systems programming and performance optimization. Bonus points if: PhD or MS in Computer Science, Computer Engineering, Machine Learning, or related field. Experience with SLURM, Kubernetes, or other cluster orchestration systems. Knowledge of mixed precision training, data parallel training, and scaling laws. Experience with transformer architecture, pytorch, decoding algorithms. Familiarity with high performance GPU programming ecosystem.  Previous contributions to major open source ML projects. Experience with MLOps and model deployment at scale. Understanding of modern attention mechanisms (multi-head attention, grouped query attention, etc.). Why RelationalAI RelationalAI is committed to an open, transparent, and inclusive workplace. We value the unique backgrounds of our team. We are driven by curiosity, value innovation, and help each other to succeed and to grow. We take the well-being of our colleagues seriously, and offer flexible working hours so each individual can find a healthy balance that affords them a productive, happy life wherever they choose to live. 🌎 Global Benefits at RelationalAI At RelationalAI, we believe that people do their best work when they feel supported, empowered, and balanced. Our benefits prioritize well-being, flexibility, and growth, ensuring you have the resources to thrive both professionally and personally. We are all owners in the company and reward you with a competitive salary and equity. Work from anywhere in the world. Comprehensive benefits coverage, including global mental health support Open PTO – Take the time you need, when you need it. Company Holidays, Your Regional Holidays, and RAI Holidays—where we take one Monday off each month, followed by a week without recurring meetings, giving you the time and space to recharge. Paid parental leave – Supporting new parents as they grow their families. We invest in your learning & development Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines: RelationalAI hires around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process.   Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here. California residents applying for positions at RelationalAI can see our Privacy Policy here   RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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The AI orchestration of your wildest imagination.n8n is the open AI workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.Head of DataWe’re looking for n8n’s first Head of Data, a strategic builder who’s excited to design our data strategy, stack, and culture from the ground up. You’ll turn data into one of n8n’s biggest growth levers, helping every team make faster, smarter, and more confident decisions as we scale.🎯 Your main goal will be to build and lead n8n’s first dedicated data function, defining the strategy, stack, and culture that turn data into a core driver of growth and decision-making across the company.To do so, you’ll establish the foundations of our data organization, build scalable infrastructure, and empower every team to make faster, smarter, and more informed decisions.STRATEGY & VISIONDefine and articulate the company-wide data strategy, ensuring alignment with business priorities and anticipating future needs, especially in AI.Build a long-term roadmap for the data organization, from initial foundations to advanced analytics, data science, and AI use cases.Explore and adopt new technologies and methodologies that keep n8n at the forefront of data innovation.DATA INFRASTRUCTURE & ANALYTICSBuild and scale a reliable, secure, and modern data infrastructure that supports both BI and self-service analytics.Design and implement core data models, metrics, and dashboards to power decision-making across Product, Revenue, and Operations.Capture and transform raw data into clear, actionable insights that guide strategic choices and uncover growth opportunities.Ensure strong governance, data quality, and compliance with privacy and security standards.LEADERSHIP & COLLABORATIONLead, mentor, and grow a small team of Analysts/Analytics Engineers, with future expansion into Data Engineering and Data Science.Foster a culture of curiosity, learning, and experimentation within the data function and across the company.Partner closely with Product, Engineering, Sales, Marketing, Finance, and Leadership to embed data into every decision.REQUIREMENTSMust-haves💼 Data leadership experience: 8+ years in data, including building and leading data teams (both analysts and engineers) from the ground up.📊 Technical excellence: Proven experience designing and scaling modern data architectures (BigQuery, Snowflake, dbt, etc.), with strong modeling and performance optimization skills.🧠 Analytical mastery: Deep expertise working with large-scale user-level data (ideally in B2C/ B2B SaaS and PLG context) and strong understanding of marketing analytics and growth loops.🗣 Communication & influence: You can translate complex analytical concepts into clear business insights and influence cross-functional stakeholders.🚀 Strategic operator mindset: A player-coach who thrives on both building vision and executing hands-on in fast-paced environments.💡 Continuous learner: Up to date on the latest technological trends and experienced (or eager) in applying AI within data teams.🧰 Tools: Proficient in n8n’s data stack, including BigQuery, dbt, and BI tools such as Looker or Metabase.Nice-to-haves🤖 AI/ML experience: Exposure to building or leveraging AI/ML models in a data context.🛡 Data governance expertise: Familiarity with privacy, compliance, and regulatory frameworks.Why join us?At n8n, your work won’t disappear into a slide deck. You'll have the rare opportunity to build our data foundations from the ground up, shape how we make decisions, and directly influence how one of Europe’s fastest-growing SaaS companies scales.You’ll join a remote-first, high-performing team that values autonomy, experimentation, and continuous learning. You’ll have access to rich datasets, strong technical peers, and high internal demand for data-driven insights — all in an environment that’s curious, ambitious, and collaborative.Sound like a challenge you’re excited to take on?Apply now and help us build the future of automation.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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ScaleSoftware Engineer - Robotics & Autonomous SystemsScale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.You Will:Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasetsBuild ML training and fine-tuning pipelines using Scale's robotics dataWork across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutionsDevelop tools and systems for robotics data collection, teleoperation, and model evaluationInteract directly with robotics and AV stakeholders to understand their technical needs and drive product developmentBuild real-time systems for robotic control, sensor fusion, and perception pipelinesDesign comprehensive monitoring and evaluation frameworks for robotics models and data qualityCollaborate with ML engineers and researchers to bring robotics research into productionDeliver features at high velocity while maintaining system reliability and performanceIdeally, You Have:3+ years of software engineering experience in robotics, autonomous vehicles, or related fieldsStrong programming skills in Python and TypeScript/Node.js for production systemsExperience with React and modern frontend development for 3D interfacesPractical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systemsUnderstanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)Experience with databases (MongoDB, PostgreSQL) and data processing at scaleTrack record of working with cross-functional teams including ML engineers, researchers, and customersStrong communication skills and ability to operate with high autonomyNice to Haves:Experience with C++Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronizationBackground in computer vision, SLAM, motion planning, or imitation learningFamiliarity with autonomous vehicle data, lidar technologies, or 3D data processingExperience with ML model deployment and serving frameworksKnowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfacesExperience with workflow orchestration systems (Temporal, Airflow)Published research or open-source contributions in robotics or autonomous systems

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Location 📍: Sydney, Australia (Hybrid - 3 days in office per week)About Us 🚀At Relevance AI, we’re building the home of the AI workforce, a new generation of automation built for real work. Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts. With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and cross-team collaboration, all within one unified platform. Today, our technology powers leading companies including Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales. We’re backed by world-class investors: Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and we raised our Series B in April 2025 to accelerate our mission and push the boundaries of agentic automation. Headquartered in San Francisco and Sydney, and soon opening our new office in Barcelona, we operate on a hybrid model (three in-office days per week). We’re a high-momentum team that thrives on curiosity, collaboration, and execution. We move fast, think big, and win together. This year, we were proud to be named LinkedIn’s #1 Startup in Australia. If you’re excited to define how the world works with AI and want to build the technology powering the next generation of intelligent workforces, join us.The Role 🥳We’re hiring for a new type of engineer at Relevance AI. We’re looking for product-minded builders who love to own a customer problem end-to-end; discovering needs, shaping the solution, and shipping working software. If you identify more as a product manager who codes or an engineer with strong product instincts - you’ll thrive in this role. Expect to prototype quickly, write production-grade code, define success metrics, and iterate fast with real users.You’ll sit at the intersection between Product and Engineering, working cross-functionally and spending meaningful time with customers to turn ideas into delightful, high-performing features that would unlock real customer value. Expect your days to be varied, solving novel problems. You’ll switch fluidly between user interviews, product specs, and writing code.Your impact💥Lead zero-to-one development of new features and product improvements from problem discovery to launch and iteration.Build functional prototypes and ship production-grade features, integrating LLMs, APIs, tools, and data sources.Translate customer insights into crisp product requirements, specs, and success metrics.Design and run experiments (A/B, feature flags) to validate hypotheses and drive measurable outcomes.Partner with internal teams and customers to co-create solutions; turn high-signal feedback into roadmap priorities.Contribute to internal tools, documentation, and playbooks that accelerate how we ship.Champion a high bar for UX, performance, and developer ergonomics across the platform.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, Typescript, PythonDatabase: MongoDB, PostgreSQLCloud & Deployment: Vercel, AWSWhat We’re Looking For 🧠Experience across the product and software development lifecycle, with either a background in product management, software engineering or mixture of related roles.Regularly leverage AI coding tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Comfort operating across the stack of product work: user research and customer discovery, specs, product tradeoffs, technical constraints, launch, and post-launch optimization.Comfort with modern programming languages and frameworks (Typescript + Node.js preferred), or a proven ability to quickly master new technologies.A track record of owning outcomes, not just tickets - shipping features that moved metrics.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Deep interest in AI and excitement to build innovative, category-defining products.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – 12 weeks of paid parental leave for all eligible new parents, plus an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍽️ Team Meals & Snacks – Enjoy free breakfasts, healthy snacks, and a variety of team lunches throughout the week (including Thursday and Friday lunches, plus Uber Eats dinners and regular catered office meals)🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. We focus on developing open-source tools and models that push the boundaries of AI while remaining efficient and user-friendly.About the RoleTo fulfill our mission of building the GitHub of Machine Learning, our team is now looking for a Node.Js Backend Engineer, with experience working in a fast-paced environment. In this unique role, you will directly impact the evolutions of our Machine Learning Hub, which is rapidly becoming a go-to destination for companies and individuals to host and run their ML models.You'll work with a supportive team of talented engineers while enjoying a lot of autonomy to test your implementations. This is a great opportunity to be an early contributor to the biggest platform shift of the decade. About YouYou'll enjoy working here if your favorite tech stack is Typescript, Node.js, and MongoDB, and you love to stay up to date with the latest technologies. You have a good understanding of low-level systems programming, potentially acquired through the practice of a programming language such as C, Go, or Rust. You have experience working collaboratively across the stack on Online payment systems. More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

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At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. We focus on developing open-source tools and models that push the boundaries of AI while remaining efficient and user-friendly.About the RoleTo fulfill our mission of building the GitHub of Machine Learning, our team is now looking for a Node.Js Backend Engineer, with experience working in a fast-paced environment. In this unique role, you will directly impact the evolutions of our Machine Learning Hub, which is rapidly becoming a go-to destination for companies and individuals to host and run their ML models.You'll work with a supportive team of talented engineers while enjoying a lot of autonomy to test your implementations. This is a great opportunity to be an early contributor to the biggest platform shift of the decade. About YouYou'll enjoy working here if your favorite tech stack is Typescript, Node.js, and MongoDB, and you love to stay up to date with the latest technologies. You have a good understanding of low-level systems programming, potentially acquired through the practice of a programming language such as C, Go, or Rust. You have experience working collaboratively across the stack on Online payment systems. More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

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Robyn is not just an AI app — she’s your emotionally intelligent companion. A trusted mirror. A guide. A new kind of OS for your emotional life.We're building the world’s first emotional intelligence layer for AI.You’ll be building the backend infrastructure that powers all of it:Conversations, memory, and real-time personalizationVoice + chat interfaceScalable infra for emotional intelligenceSecure and fast APIs for our iOS appA robust ML inference and fine-tuning pipelineYou’ll be the technical backbone of Robyn — designing and shipping fast, scalable, emotionally aware systems while collaborating closely with iOS, product, and AI teams.This is a rare opportunity to define the foundations of emotionally intelligent AI. Everything beyond the core LLM — memory, emotional layer, and relational engine — is built fully in-house. The backend engineer will help architect the systems that make Robyn feel human: writing the foundational codebase for the next wave of AI — one that feels, remembers, and connects.What You'll DoBackend & Infra OwnershipYou'll work and add to our C# / .NET / ASP.NET backend api layer (have experience in this or something similar like Java/Spring and can learn quickly) and progressively add many Python microservices (FastAPI or AWS Lambda) with modular, AI-native architecture in mind to build our intelligence layer. Deploy models and setup some ml training pipelines.Understand dependency injection, Strategy Pattern, inversion of control, and other best practices for code maintainabilityOwn the full backend surface area — auth, APIs, infra, orchestration — and design all of your features for scale and velocity.Build and maintain REST and GraphQL APIs consumed by our iOS client; low-latency, resilient, and well-instrumented.Architect a microservice-style ML model serving backend deployed via Docker containers or AWS Lambda (SnapStart), backed by async eventing and pub/sub where needed.Own CI/CD, rollback strategies, logging, error handling — the backend is your domain, end-to-end.AI & ML Systems IntegrationArchitect and manage existing vector DB (PgVector) and potentially add more to power retrieval-augmented generation, evolving memory, and personalization.Build tools and add to our custom memory pipelines tied to user context, embeddings, and interaction history.Integrate and scale inference with OpenAI, Claude, Llama, or other models. Build wrappers, manage caching, fallbacks, and prompt routing logic.Own emotion and sentiment tagging workflows; plug in APIs or run lightweight classifiers in-line.Maintain API orchestration layer with 3rd party model providers (OpenAI, ElevenLabs, etc.).Cloud Infra, DevOps, and Data StackManage our AWS infrastructure and add to our current stack with new innovate technologies: Lambda, ECS, S3, RDS (Postgres), CloudFront, IAM, Route53 — you’ll be the one making the call on architecture and trade-offs.Be able to use search databases like OpenSearchInfra-as-code with Terraform. Pipelines through GitHub Actions.Full observability: metrics, structured logging, tracing, alerting — Open Telemetry, Sentry, Grafana, Cloudwatch, etc.Optimize latency across API surface, tune Postgres indexes, add Redis caching layers to many of your services and pub/sub or streaming for near-instantaneous data sync.Set up and secure infra for SOC-2 readiness: access controls, data lifecycle policies, encrypted storage.Personalization & Emotional Intelligence LayerDesign and ship emotion-aware backend systems that update in real time based on user behavior.Implement custom memory engines — user embeddings, experience graphs, emotional scores — and build APIs that adapt over time.Work with product and AI to tune behavior of Robyn based on user feedback, emotion logs, memory history, and interaction loops.All personalization logicYou’re Probably Right for This If:You have 6 - 15 years of experience in backend or full-stack development; building 0-1 products or teams in a startup environmentYou’ve shipped entire production backends at high-growth early-stage startups — you know how to move fast and still write code you don’t hate six months later.You’ve integrated or scaled LLM-based products — bonus if you’ve done it with emotion, memory, or personalization layers.You care about systems thinking, fast response times, clean abstractions, and building infra that won’t fall over under load.You’ve done the zero-to-one and can hold both the product in your head and the infra in your hands.You’re able to figure things out quickly and dive in wherever needed. There’s no “that’s not my job” here.You're allergic to bloated teams — you’d rather build it right yourself than manage a swarm of mid devs doing it wrong.

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About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us?We're looking for a Staff Machine Learning Research Scientist to help define and drive Rad AI's next generation of applied research in NLP and clinical AI.The ideal candidate brings deep experience in cutting-edge ML techniques (Transformers, LLMs, Agentic systems) and their application to the healthcare domain. You should be comfortable with medical literature, clinical terminology, and the nuanced decision-making criteria doctors use every day.You'll collaborate closely with clinicians, engineers, and product leaders to translate foundational research into production-scale systems that improve outcomes for doctors and patients alike.What You'll Do:Lead high-impact ML research projects from concept to deployment, focused on clinical NLP and reasoning systems.Define the technical direction of research initiatives within your product area; identifying opportunities to apply state-of-the-art models to real-world radiology workflows.Collaborate deeply with radiologists and clinical experts to understand diagnostic reasoning patterns, report structures, and clinical decision-making criteria—then encode that understanding into robust ML systems.Architect and evaluate models that integrate structured and unstructured medical data (clinical notes, diagnostic criteria, patient context) to enhance diagnostic reasoning and reporting accuracy.Build NLP systems that can parse, reason over, and generate clinically accurate content using medical terminology and ontologies.Mentor and guide other researchers in experimental design, model reproducibility, and technical communication.Advance research infrastructure by contributing to data pipelines, training frameworks, and model evaluation tooling.What We're Looking For:MS or PhD (or equivalent research experience) in Computer Science, Electrical Engineering, Computational Linguistics, Biomedical Informatics, or related quantitative field.6+ years of applied ML research experience (industry or academia).Proven experience building NLP or ML systems for healthcare, clinical documentation, or biomedical applications— You should have shipped models that work with clinical text, radiology reports, EHRs, medical literature, or similar medical data.Demonstrated fluency with medical terminology and clinical reasoning—you should be able to read and understand radiology reports, parse diagnostic criteria, and grasp how radiologists formulate clinical decisions.Track record of successful collaboration with clinicians—you've worked directly with physicians, radiologists, or clinical researchers to understand requirements, validate models, and iterate based on medical domain expertise.Deep expertise in NLP and modern deep learning architectures—particularly transformers and large language models.Strong engineering skills with modern ML frameworks such as PyTorch.Demonstrated ability to take ML models from research to production in complex, data-rich environments.Exceptional written and verbal communication skills—able to explain complex technical ideas to cross-functional partners and synthesize clinical domain knowledge into research directions.Preferred QualificationsExperience with medical named entity recognition, clinical text classification, information extraction, report generation, or diagnostic reasoning systems.Prior work modeling clinical decision-making logic, differential diagnosis, or impression synthesis.Familiarity with medical data standards (DICOM metadata, HL7/FHIR) and healthcare NLP corpora.Clinical background (MD, DO) or formal training in medical informatics, computational biology, or health systems.Experience working specifically in radiology, diagnostic imaging workflows, or medical reporting systems.Track record of technical mentorship and contribution to broader research culture.Experience in regulated or privacy-sensitive domains (HIPAA, FDA, etc.).Publications in healthcare AI, clinical NLP, or biomedical informatics venues.Why This Matters:Radiologists are the invisible backbone of modern medicine. Every diagnosis, every surgery, every treatment plan begins with their interpretations. Yet they're often overwhelmed by cognitive load, repetitive tasks, and administrative overhead.At Rad AI, we're using ML to change that—building intelligent systems that understand medical context, streamline documentation, and amplify human expertise.You've already seen how AI can transform healthcare. Now help us push it further.Join us in shaping how AI supports the next generation of medical professionals.Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-aiFor US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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About TensorWave At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.We’re looking for our first Product Manager to help us deeply understand our users and evolve our core infrastructure platform.What You'll DoBe the voice of the user. Talk to real customers daily — uncover how they’re using our GPU cloud, what problems they’re facing, and where we can help. Do the grunt work. Research competing solutions, study usage data, log feedback, and aggregate insights that inform product direction. Work hand-in-hand with engineering. Translate user problems into clear, technically-grounded suggestions for our eng team. Be in the loop on implementation and feasibility. Drive tactical product improvements. This is not about vision decks — you’ll own small, practical product decisions and help us ship fast. Understand the hardware. Our product is infrastructure: GPUs, interconnects, thermal design, memory bandwidth, cluster scheduling. You should love this stuff or be hungry to learn it. Own the roadmap (lightly). Keep an evolving list of what matters most. Prioritize customer impact. Make sure we’re not flying blind. Stay humble and curious. We don’t want someone trying to "own the product" — we want someone obsessed with understanding it. What We’re Looking ForMust-haves:Experience working with cloud infrastructure or GPU-based compute platforms You've either: Built or scaled a GPU/cloud platform Been a power user of cloud GPU clusters (e.g. ML researcher, systems engineer, etc.) Comfort working closely with engineering — possibly an engineering background yourself Strong customer empathy and experience in user research or product discovery You default to learning and listening, not over-asserting You’re comfortable owning small, iterative product decisions — not trying to design the master plan Nice-to-haves:Experience in early-stage startups or 0→1 product environments Understanding of AMD Instinct GPUs, ROCm, or similar AI/ML infrastructure stacks Technical writing or documentation experience Why This Role MattersThis is not a traditional SaaS PM job.We need someone who can deeply understand the needs of ML engineers, infrastructure teams, and AI researchers — and help us build a product that fits. You’ll be the connective tissue between our users and our hardware-backed engineering teams.This role reports directly to our CEO and works across engineering, operations, and support.What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the roleThis is an exciting opportunity to join Faculty as the most senior data scientist in the Retail and Consumer business unit.Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.What you'll be doingProject Leadership:Guide the technical delivery of custom data science solutions for clients, from initial discovery to deployment in productionOwn the end-to-end data science approach, designing and implementing the appropriate techniques - from classic to AI agents using LLMs - that are designed, optimised and applied at scaleDesign robust and scalable software architecture for the solutions you build, ensuring best practices in engineering and MLOps are followed.Partner with our commercial team and clients to build strong relationships, acting as a trusted technical advisor.Articulate intricate technical concepts and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.Team Mentorship:Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for data scientists on your project teams.Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence.Technical LeadershipEstablish a distinct and differentiated data science vision for professional and financial services, and communicate that vision through external thought leadership and in potential client presentations.Partner with our commercial team to ensure potential projects and programmes of work are appropriately resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward.Who we're looking forYou have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysisAn excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch)Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus.You possess proven experience leading data science projects and making key decisions on technical direction and architecture.You are an exceptional communicator, capable of building rapport with clients and translating complex ideas into clear, actionable insights.You have a strategic mindset, with a grasp on key financial services sector trends that informs a compelling technical vision.You are passionate about developing people and have experience mentoring or managing other technical professionals.You are motivated to contribute to the wider data science community. We will actively support you in building your professional profile by speaking at major conferences, delivering courses, or contributing to open-source projects.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.ABOUT THE TEAM  We build robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense (AD) Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide. ABOUT THE ROLE We are looking for a well-rounded Senior Analytics Engineer to support our Air Defense team. In this role, you will design and maintain data systems to ingest and transform structured, semistructured, and unstructured data, creating robust and efficient data models that deliver actionable insights. You will collaborate with stakeholders to gather requirements and implement secure, reliable analytics solutions, focusing on supporting a variety of data applications.  You will work with engineering and field operations teams to better understand how our family of systems and capabilities performs in production (both in and out of classified environments). Additionally, you will support operational teams by building out data products to support operational workflows. Ensuring data quality and performing root cause analysis on complex systems will be key, as will deploying mission-critical analytics solutions with occasional travel to build, test, and deploy capabilities in real-world scenarios. WHAT YOU'LL DO Help lead the development and maintenance of data systems architecture that enable high quality, low latency data ingestion across many different source systems and transformation for downstream data products and operational workflows. Collaborate with stakeholders to collect requirements and write code for secure, timely, accurate, trusted, and extensible data models. Become a trusted partner to AD’s leadership by creating reusable entities that generalize how our division operates and building both deployment- and business-related workflows, dashboards, and metrics that drive better and faster decision-making. Develop and deliver analytics solutions for evolving problems in network-isolated and classified environments. Help empower users to leverage the aforementioned data architecture to self-serve through enablement & knowledge-transfer, as well as improving the developer/end-user experience. REQUIRED QUALIFICATIONS 6+ years of experience in an analytics-focused or data-oriented role (e.g., data engineer, analytics engineer, data scientist, backend software engineer). Exceptional general problem-solving and critical-thinking skills, bringing to bear technical solutions to ambiguous and dynamic data problems. Proficiency designing scalable and adaptable logical and physical data models that facilitate both future product evolution and analytical requirements Strong skills in performing data-driven root cause analysis on complex systems. Excellent written and verbal communication skills, especially when communicating with a technical audience; an affection for documentation. Ability to drive consensus across internal and external stakeholders, with demonstrated experience leading through influence. Comfortable navigating a polyglot ecosystem and a proven ability to quickly understand established code bases and operate at different levels of abstraction. Procedural fluency in writing, debugging, profiling, testing, and maintaining performant Python and SQL code. Experience writing another language (e.g., JavaScript/TypeScript, Go, Java, Scala, Haskell, OCaml, Julia, etc.). Proficiency in building end-to-end, scalable data solutions (including the steps for beyond implementation such as enablement, support, integrations, etc.) in a cloud setting. Experience writing pipelines with common orchestration tooling (e.g., Flyte, Airflow, Dagster, etc.). Experience with DevOps and software deployment: containerization & container orchestration (e.g., Docker, Kubernetes, Helm, etc.), GitOps & CI/CD tooling (e.g., CircleCI, ArgoCD, etc.), observability/monitoring (e.g., DataDog, Grafana, etc.) Experience with infrastructure-as-code (e.g., Terraform), core- and data-related cloud services (e.g., AWS, Azure). Experience writing and working with microservices architectures (e.g., gRPC + protocol buffers). Current US Person status (U.S. citizen or permanent resident) with the ability to obtain and maintain a U.S. Department of Defense (DOD) Secret Clearance or higher. PREFERRED QUALIFICATIONS Ability to comprehend and appropriately modify software written in a systems or lower-level language such as C/C++, Zig, Rust, etc. Experience with setting up and managing infrastructure to support analytical workloads on-premises or in resource-constrained environments. Experience delivering and maintaining systems that securely egress data from air-gapped and security-hardened networks. Experience working with data formats (e.g. MCAP, HDF5, etc.) relatively common to robotics. Experience with dbt, Palantir Foundry, Trino/Presto, Apache Spark, Apache Kafka, Apache Flink, and/or in-memory databases (e.g., DuckDB, Polars). Experience with the Nix (dependency management & system configuration) ecosystem. Strong Linux fundamentals. Exposure to the the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across command echelons. Deep intellectual interest in the intersection of analytics and the physical hardware world, motivated by Anduril’s mission. Prior defense, aerospace, or intelligence domain experience. US Salary Range$146,000—$194,000 USD  The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:  Healthcare Benefits  US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.  UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.  IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.  Additional Benefits  Income Protection: Anduril covers life and disability insurance for all employees.  Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.  Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.  Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.  Professional Development: Annual reimbursement for professional development  Commuter Benefits: Company-funded commuter benefits based on your region.  Relocation Assistance: Available depending on role eligibility.  Retirement Savings Plan  US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.  UK & IE Roles: Pension plan with employer match.  AUS Roles: Superannuation plan.  The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.  To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. 

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleWe are hiring a hands-on, data-driven Industrialization Engineer to bridge product design and scalable manufacturing at our production site. You’ll drive Design for Manufacturability, process validation, and continuous improvement from prototype to high-volume production, ensuring all processes are efficient, safe, and data-backed.ResponsibilitiesDesign for ManufacturabilityAct as manufacturability lead in design reviews, identifying and resolving constraints early.Define and standardize assembly processes meeting quality, ergonomics, and safety standards.Process Development & ControlDevelop and maintain manufacturing processes, work instructions, and visual standards.Track performance (cycle time, yield, rework) and implement improvements based on production data.Support transition from manual to automated assembly where relevant.Cross-Functional IntegrationCollaborate with production, quality, and logistics teams to secure smooth ramp-up and issue resolution.Manage process or design changes through structured control and documentation.Capture lessons learned and update procedures across the product line.Candidate RequirementsDegree in Industrial or Mechanical Engineering or a related field.3+ years experience in manufacturing or industrialization.Strong understanding of DFM principles and hands-on experience with assembly tools and fixtures.Experience with enterprise and manufacturing software systems, including data analysis tools.Communication & Influence: Excellent written and verbal communication in French and English, capable of leading diverse principals – from junior members to senior executives.Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleWe are looking for a skilled and forward-thinking Automation Engineer to design, implement, and optimize automation systems at our production site, the model for our future global manufacturing sites. You’ll lead automation projects that enable cost-effective, high-volume, and defense-grade production through robotics, digital integration, and lean processes.ResponsibilitiesAutomation SystemsDesign and deploy automated solutions across key manufacturing and test processes.Translate manual tasks into robust automated stations (robotics, sensors, actuators, software).Own equipment specifications, commissioning, and validation with suppliers and integrators.Performance & ReliabilityMaximize OEE through improved uptime, performance, and first-pass yield.Analyze real-time data and fault logs to drive continuous improvement.Support maintenance and production teams in troubleshooting and system optimization.Digital IntegrationConnect automation platforms to ERP/MES for live traceability and performance data.Build OEE dashboards and enable predictive maintenance through data and IoT tools.Contribute to digital twin and simulation projects for capacity and layout planning.Innovation & StandardizationEvaluate and prototype new automation and robotics technologies.Standardize automation architectures and documentation for replication in future factories.Train technical staff and provide user-friendly system documentation.Candidate RequirementsDegree in Automation Engineering, Mechatronics, Robotics, or equivalent.5+ years experience in manufacturing automation (design, commissioning, optimization).Strong command of robotics, PLCs, sensors, motion systems, and automation safety standards (CE).Interest in Industry 4.0, collaborative robotics, and machine learning applications.Proven experience deploying reliable, high-availability systems.Communication & Influence: Excellent written and verbal communication in French and English, capable of leading diverse principals – from junior members to senior executives.Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About the roleTaktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1´000´000 critical business decisions every day.Taktile is based in Berlin, London and New York City. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath.We’re backed by some of the world’s leading investors and show great traction with scale-ups and large enterprises across the financial services and insurance industry. We are looking to build on this success by growing our sales team, professionalizing our go-to-market, and acquiring more customers.That’s where you come in.We’re now expanding into Latin America and building our founding Solution Engineering team in São Paulo. As a Lead Solution Engineer, you are core to our mission of transforming our customer's decisioning infrastructure to enable them to optimize and automate complex and mission critical business decisions. You will work in partnership with Taktile's Sales Team and are making sure our customers get value from Taktile throughout their entire lifecycle. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about state of the art tech products, have gathered a few years of experience working with Python and customers, and enjoy working as part of an awesome team that empowers you to grow, then we think you'll love this job! ABOUT YOUYou know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts).You are curious and customer-centric. You enjoy learning about our customers’ and prospects’ businesses and helping them solve challenges. You are able to plan and manage project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile.You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business.You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you’re always looking for ways to stand out with customers and prospects. You have excellent written and spoken English.What You'll DoYou discover and translate customer's strategic priorities and problem statements into high impact use cases leveraging Taktile during the sales process and throughout the entire customer value journey including adoption, expansion and renewal.You build demos, support our sales team and customers in building business cases and design and scope proof of value projects which demonstrate the value Taktile delivers for the customer within a short amount of time.You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform.You lead proof-of-value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C-level executives.You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real-world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code and committed to providing an excellent experience and fast time to value to Taktile’s customers.You will work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap.You will create re-usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function.You lead the discovery for new use cases and implement them on the platform to assess product-solution fit. You provide feedback to our product team and share results of your discovery with go to market functions.Ideal, But Not RequiredLive for Customer Value: You have at least 5+ years of experience working within Enterprise / "high touch" Solution Engineering, as a technical Customer Success Manager / Engineer in a B2B SaaS company or as (Technical) Senior Consultant.Technical expertise: You have a general understanding of REST APIs (design, integration, authentication)Data & Analytics: You have experience in applying and optimizing statistical and machine learning models to solve business problems. You are familiar with the state of the art data & analytics tech stack and workflow automation platforms which helps you creatively solve your customers' automation and optimization problems.Business domain expertise: You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.).Our OfferWork with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home hereMake an impact and meaningfully shape an early-stage companyExperience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quoLearn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.Receive a top-of-market equity and cash compensation packageGet access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.Use the equipment of your choice including meaningful home office set-up.Our StanceWe're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to applyWe seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all earsAbout usTaktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleWe are looking for an experienced and results-oriented Plant Manager to lead operations at our production site, the global benchmark for AI-integrated and defense-grade manufacturing. You will oversee all aspects of site performance, from production and quality to logistics, compliance, and people development, ensuring operational excellence and continuous improvement in a high-tech, regulated environment.ResponsibilitiesOperational LeadershipLead end-to-end factory operations across semi-automated, fully automated, and high-spec zones.Deliver production targets (10,000+ units/month) while optimizing OEE, cycle time, and throughput using ERP/MES.Apply lean principles and one-directional flow across all manufacturing zones.Digital Manufacturing & TraceabilityManage real-time operations through Odoo-integrated dashboards and KPIs.Guarantee 100% material and process traceability in line with ICPE, ISO 9001/14001, and NATO STANAG 2280.Drive digital twin integration and predictive maintenance initiatives.Quality & SafetyEnsure ≥99% FPY through in-line testing, HEXpod calibration, and final QA.Supervise Metrology Lab, QA systems, and non-conformance resolution (8D).Maintain top-tier HSE and ICPE compliance (ISO 45001).Logistics & Material FlowOversee AGV-based logistics, Kardex storage, and outbound shipment performance.Monitor replenishment cycles, digital Kanban triggers, and warehouse KPIs.Align with corporate sustainability and waste-reduction goals.People & CultureBuild and lead a high-performance, cross-skilled team.Foster a culture of precision, accountability, and continuous improvement.Oversee recruitment, onboarding, and training.Governance & ReportingEnsure full compliance with NATO security, ESD, and audit standards.Report weekly and monthly KPIs to the Head of Production and executive leadership.Coordinate operational reviews, ethics compliance, and emergency readiness.Candidate RequirementsMaster’s or Bachelor’s degree in Industrial Engineering, Operations Management, or equivalent.8+ years of experience in complex industrial environments (aerospace, defense, or electronics).Proven expertise in lean manufacturing and digital MES/ERP systems (Odoo, SAP, etc.).Strong analytical, decision-making, and change-management skills.Communication & Influence: Excellent written and verbal communication in French and English, capable of leading diverse principals – from junior members to senior executives.Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.Nice-to-haveKnowledge of NATO STANAG 2280, ICPE, and ISO 9001/14001 standards.Experience scaling high-mix, high-precision production.Proficiency with Power BI or other data visualization tools.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.