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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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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role Join Cerebras’ new Global Support organization to help customers run production-grade AI inference. You’ll troubleshoot issues across model serving, deployment, and observability; resolve customer tickets; and partner with Engineering to improve the reliability, performance, and usability of our inference platform.  Responsibilities Own inbound tickets for inference issues (availability, latency/throughput, correctness, model loading, etc.).  Triage, reproduce, and debug across the stack: APIs/SDKs, model serving layers (e.g., vLLM), networking, etc.  Analyze logs/metrics/traces (e.g., Prometheus/Grafana/ELK) to drive fast resolution and clear RCAs.  Create and maintain high-quality runbooks, knowledge base articles, and “getting unstuck” guides.  Collaborate with Product/Eng to escalate defects, validate fixes, and influence roadmap via aggregated support insights.  Participate in follow-the-sun on-call rotations for P1/P2 incidents with defined SLAs.  Proactively identify pain points in both our solutions and those of our customers.  Advocate for customer needs internally, helping prioritize fixes, features, and reliability improvements.  Skills & Qualifications 4–6 years in technical support, SRE, or solutions engineering for distributed systems or ML/AI products.  Strong Linux fundamentals; confident with shell, systemd, containers (Docker), basic networking (TLS, DNS, HTTP/2, gRPC), and debugging with logs/metrics.  Proficiency in at least one scripting language (Python preferred) for repros, tooling, and log parsing.  Familiarity with modern LLM inference concepts: token streaming, batching, KV cache, etc.  Excellent customer communication: drive clarity from ambiguous reports, write crisp updates, and set accurate expectations.  Assets Exposure to one or more serving stacks (e.g. vLLM) and OpenAI-compatible APIs.  Observability practice (Prometheus, Grafana, Elk) and basic performance testing.  Ticketing/ITSM (e.g., Jira/ServiceNow/Zendesk), incident response, and SLA/SLO workflows.  Experience with GPUs/accelerators and performance tuning (throughput vs. latency trade-offs, batching/concurrency tuning).  Demonstrate humility, collaboration, and a commitment to continuous learning to support team and customer success.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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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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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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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role Join Cerebras’ new Global Support organization to help customers run production-grade AI inference. You’ll troubleshoot issues across model serving, deployment, and observability; resolve customer tickets; and partner with Engineering to improve the reliability, performance, and usability of our inference platform.  Responsibilities Own inbound tickets for inference issues (availability, latency/throughput, correctness, model loading, etc.).  Triage, reproduce, and debug across the stack: APIs/SDKs, model serving layers (e.g., vLLM), networking, etc.  Analyze logs/metrics/traces (e.g., Prometheus/Grafana/ELK) to drive fast resolution and clear RCAs.  Create and maintain high-quality runbooks, knowledge base articles, and “getting unstuck” guides.  Collaborate with Product/Eng to escalate defects, validate fixes, and influence roadmap via aggregated support insights.  Participate in follow-the-sun on-call rotations for P1/P2 incidents with defined SLAs.  Proactively identify pain points in both our solutions and those of our customers.  Advocate for customer needs internally, helping prioritize fixes, features, and reliability improvements.  Skills & Qualifications 4–6 years in technical support, SRE, or solutions engineering for distributed systems or ML/AI products.  Strong Linux fundamentals; confident with shell, systemd, containers (Docker), basic networking (TLS, DNS, HTTP/2, gRPC), and debugging with logs/metrics.  Proficiency in at least one scripting language (Python preferred) for repros, tooling, and log parsing.  Familiarity with modern LLM inference concepts: token streaming, batching, KV cache, etc.  Excellent customer communication: drive clarity from ambiguous reports, write crisp updates, and set accurate expectations.  Assets Exposure to one or more serving stacks (e.g. vLLM) and OpenAI-compatible APIs.  Observability practice (Prometheus, Grafana, Elk) and basic performance testing.  Ticketing/ITSM (e.g., Jira/ServiceNow/Zendesk), incident response, and SLA/SLO workflows.  Experience with GPUs/accelerators and performance tuning (throughput vs. latency trade-offs, batching/concurrency tuning).  Demonstrate humility, collaboration, and a commitment to continuous learning to support team and customer success.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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At Black Forest Labs, we’re on a mission to advance the state of the art in generative deep learning for media, building powerful, creative, and open models that push what’s possible.  Born from foundational research, we continuously create advanced infrastructure to transform ideas into images and videos.Our team pioneered Latent Diffusion, Stable Diffusion, and FLUX.1 – milestones in the evolution of generative AI. Today, these foundations power millions of creations worldwide, from individual artists to enterprise applications. We are looking for a 3D Researcher to bring precise camera control to our image and video generation models. Role and Responsibilities Training large-scale Diffusion (transformer) models for camera-controllable image and video generation Developing conditioning mechanisms for 3D camera parameters (poses, trajectories, intrinsics) in diffusion models Rigorously ablating design choices for 3D control and communicating results & decisions with the broader team Reasoning about the speed and quality trade-offs of 3D-aware architectures What we look for Experience training large-scale Diffusion models for image and video data Strong understanding of 3D projective geometry, camera models, and coordinate systems Experience with 3D-aware generative models or neural rendering techniques (NeRFs, 3DGS, etc.) Integrating geometric priors and 3D conditioning into neural networks Strong proficiency in PyTorch, transformer models and other NN architectures Deep understanding of training techniques such as FSDP, low precision training, and model parallelism Nice to have: Experience with multi-view consistency in generative models Understanding of camera calibration, structure-from-motion, or SLAM  

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Location: San Francisco (100% In-Office) Experience: 5+ years Salary: $200K - $350k • Offers EquityAt Giga, we’re revolutionizing enterprise by deploying AI agents that resolve over 1 million customer tickets monthly via voice and chat. Industry leaders like DoorDash trust our AI to navigate complex, real-world conversations with clarity, accuracy, and scalability.Engineers at Giga work on problems like:building agents with almost no hallucination ratesa voice experience that's better than talking to humanscreating self-learning agents that optimize metrics Who You Are / Must-Haves:Exceptional EngineerBackend: Strong experience in Python (Django experience is a plus)Cloud: Proficient with AWS or Google CloudScalability: Familiarity with Kubernetes and Docker is a plusEntrepreneurial: Preference for candidates with experience at successful startups. Former founders are especially valuedSeasoned: 5+ years of hands-on engineering experience with roles in leadership Perks & BenefitsCompetitive total compensationEquinox membershipFull health, dental, and vision coverageOn-demand snacks, coffee, and DoorDash CreditsUbers covered home Interview ProcessScreening call w/ recruiting lead (20 min)Intro call w/ Founding Engineer (15 min)Live coding round w/ Founding Engineer (1 hr)In-office interview (full day)

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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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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 RoleAs Systems Engineer, you will bridge the gap between complex subsystems and operational mission requirements. You will define and validate the architecture that integrates software, AI/ML, and operator workflows into a cohesive, resilient C2 system.Your mandate: ensure the entire platform functions reliably in the field, interoperable, testable, and ready for deployment.ResponsibilitiesArchitecture & IntegrationDefine end-to-end system architecture, interface control documents (ICDs), and data flows.Lead integration planning across backend, AI/ML, and UX components.Ensure interoperability with TAK, STANAG, and DoD standards.Conduct trade studies, risk assessments, and configuration control. Validation & TestingDevelop simulation and field-test plans validating performance and reliability.Support mission exercises and collect operator feedback to drive design evolution. Cross-Functional CollaborationWork closely with Product, AI/ML, and UX teams to translate operator needs into technical requirements.Participate in design and risk reviews, providing pragmatic engineering judgment.Candidate RequirementsEducational Background: B.S./M.S. in Systems Engineering, Aerospace, Computer Science, or related.Experience: 5–10 years in defense, aerospace, or robotics programs; proven integration of multiple subsystems into mission-critical platforms.Technical Skills: Requirements management, system modeling, risk analysis, and interface design.Mindset: Operator-first, detail-oriented, and comfortable balancing trade-offs under constraints.Clearance: Eligible for U.S. DoD security clearance (Secret level or above preferred).Commitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.Location and CommitmentsContract Type: Full-time / PermanentWork Schedule: Washington DC (on-site preferred)Compensation: $140K-$175K + equity + benefitsStart Date: November 2025We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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🌁 Location: San Francisco, in-person only 💰 Salary: $180.000 - $250,000 annual salary + 📈 Equity 💻 Languages/Frameworks: TypeScript, Next.js ✅ Skills: Building full-stack apps, expertise with complex web views that efficiently manage state between client and server, strong UI/UX sensibility👉 Who we areE2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents.👉 About the roleYour job will be to own and scale the E2B Dashboard — the application developers rely on to develop and monitor sandboxes, track usage metrics, and debug their infrastructure. You'll ship features quickly and make key product decisions with minimal oversight.You'll build enterprise-grade experiences that scale to 100k+ weekly active users. Responsibilities include:Shipping user-facing features end-to-end — from design decisions through deployment and monitoringOptimizing Next.js performance with multi-layer caching and response time improvementsEngaging directly with customers to transform their needs into technical solutionsBuilding real-time data experiences using WebSockets and SSE for sandbox logs and metricsMaking architectural decisions around observability, testing, and security best practicesThis role requires a high amount of ownership and ability to take projects from 0 to 1. You'll have deep autonomy to make product and technical decisions. If you see a better way to build something, you build it.👉 What we're looking for3-5+ years shipping production web applications with deep expertise in React, and TypeScriptAdvanced expertise with Next.js app router and knowledge of its latest features to optimize web performanceGreat taste on front-end decisions — you know when to prioritize polish vs speed and care deeply about developer experienceBack-end competence with modern stacks: comfortable with Supabase/PostgreSQL, API design, authentication/authorization, and server-side optimizationExcited to work in person from San Francisco on a devtool productOwnership mentality: you see projects through from conception to launch to iterationComfortable talking to customers and explaining technical tradeoffsNot being afraid to take ownership of the part of our productGreat communication, curiosity, and interest in the AI spaceIf you join E2B, you'll get a lot of freedom. We expect you to be proactive and take ownership. You'll be taking projects from 0 to 1 with the support of the rest of the team.

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CSQ127R55 As a Big Data Solutions Consultant (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed You will facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts Provide experience to the consulting team, provide best practices in client engagement to other teams What we look for: 4+ years experience in data engineering, data platforms & analytics Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) Comfort with object-oriented and functional programming in Scala and Python Experience in building scalable streaming and batch solutions using cloud-native components Strong knowledge of distributed computing with Apache Spark™ Travel to customers 30% of the time Nice to have: Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place.Who You'll Work WithWith talent density as our main north star, we have assembled a founding team of exceptional individuals from Google AI, Notion, Dropbox, Slack, Databricks, McKinsey, and BCG, all on a mission to reshape how humans access and use knowledge.Our AI products are already trusted by pioneering global companies and have served over 1 million users worldwide. We are backed by $130M+ in funding from leading investors including NEA, Menlo Ventures, and EQT Ventures.We've been recognized as a LinkedIn Top Startup, earned Fast Company's 2024 Next Big Things in Tech for AI & Data award, and been named the Forbes AI 50 list of top business AI companies. Yet we're just beginning our journey to transform how organizations and humans harness knowledge. About the RoleOur GTM team has a unique mission: to help organizations realize the transformative value that Sana’s products can deliver across industries and geographies. This role blends commercial acumen, strategic vision, and a deep understanding of customer needs.We’re looking for entrepreneurial sales talent to help bring Sana to the world. As a GTM Manager (Account Executive), you will play a pivotal role in guiding opportunities through the entire sales journey—from uncovering new opportunities and shaping solutions, to closing impactful deals. You’ll collaborate closely with product, engineering, and strategy teams to ensure Sana’s offerings address the evolving challenges of the world’s leading enterprises. Through partnership and insight, you’ll enable customers to unlock new levels of performance and success with Sana. Sana is leading the way in an unprecedented time, with AI enabling change that will be more significant than the internet revolution. In this unprecedented moment, what we do one day can be obsolete the next. This requires extreme intuition, strategic minds, bold tradeoffs, and not least, grit. For the right person, it's equally challenging as it is rewarding, as we're doing something every day worth recounting to future generations. Who You AreKnowledge pioneer: You're passionate about transforming how people interact with and use knowledge to reach new heights of thinking.Growth-focused: Brings energy and dedication to exceed goals and inspire excellence in others.Excellence driven: You consistently deliver high-quality work at pace, setting and exceeding ambitious standards.Self-guided: You drive your own work, take initiative from day one, working autonomously while prioritizing learning and impact.Consultative seller: You love solving puzzles and thrive on understanding a customer’s business to find the right solution. Outbound closer: You’re proactive in identifying and engaging high-potential leads - bringing creativity and persistence to every step of the outreach process. What You Bring3+ years of experience in enterprise B2B sales in SaaS or emerging technologies and/ or strategy consulting, with a proven track record of surpassing targets in fast-paced environments.Ability to assess markets and uncover high-value opportunities, supported by proven implementation skills.Clear communication skills in English with experience connecting and building relationships with C-level executives.First-principles thinking and enthusiasm for finding solutions and bringing ideas into action with a “roll up your sleeves” mentality and bias for action.Collaborative spirit and ability to flourish in team settings.What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place. About the RoleOur Solutions Engineering team plays a pivotal role in bridging the gap between our product development and client-facing teams for our latest product, Sana AI. The team prides itself on its adaptability, entrepreneurial spirit, and relentless pursuit of excellence. Many team members have joined from previous workplaces like Google AI, Spotify, BCG, and McKinsey.It’s an exciting time to be working with AI, especially at Sana. Our goal is to build an AI assistant for work with infinite capabilities—one that can process any amount of information, answer any question, assist with all knowledge work, and ultimately solve difficult problems autonomously. This means you’ll get to work with state-of-the-art LLMs, and be on the frontlines of operationalizing the potential of AI within some of the most pioneering companies around the globe.As the Sana AI's footprint expands through an increasing client based and users, your role will likely evolve to include the coaching and onboarding of additional solution engineers, as well as the scaling the designed and implemented solution, and the creation and the iterations on the playbooks required to make the Sana AI solutions succeed at scale.What you’ll doProvide dedicated technical support during pre-sales and implementation phases, ensuring that client queries are addressed promptly and accurately.Engage directly with clients, especially large enterprises, to build trust and credibility by demonstrating deep technical knowledge.Collaborate closely with product managers and engineers to stay updated on the latest product developments and ensure seamless communication between teams.Address complex technical issues that arise during sales and deployment, ensuring that solutions are implemented efficiently and effectively.Identify and implement process improvements to enhance the efficiency of the sales and deployment processes.What will help you thriveA strong technical background with experience in software engineering, systems engineering, or a related field.Proven experience in a client-facing technical role, preferably within the tech industry.Excellent problem-solving skills with the ability to address complex technical issues quickly and effectively.Strong verbal and written communication skills and can explain technical concepts to non-technical stakeholders.Working collaboratively with cross-functional teams, including product managers, engineers, and sales teams.A self-starter mindset, meaning you can proactively identify issues and opportunities and tackle them without being told to do so.What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About the Role As an Applied AI, Prototyping & Automations Engineer, you’ll be at the heart of Mistral AI’s internal innovation. You’ll design, build, and deploy AI-powered applications and automation systems that enhance our products and streamline internal workflows. This role is for builders, hackers, and problem-solvers who want to bridge the gap between AI research, engineering, and real-world impact, who like interacting daily with product users. In this role, you’ll manage daily relations involving multiple stakeholders (corporate, research, product, business, HR) from all around the world. What You’ll Do - Design, develop, and maintain scalable web applications and internal tools using- Design and implement automated workflows, internal tools, and AI-driven processes to improve efficiency and reduce manual effort.- Build and integrate AI models (LLMs, RAG, agents) into full-stack applications, ensuring they are performant, scalable, and user-friendly.- Work closely with AI researchers, product teams, corporate teams and customers to translate users requirements into technical solutions.- Contribute to open-source projects and internal tooling to enhance Mistral’s AI platform. About You- You are fluent in English.- You have between 0-5y of experience- You have experience with LLMs, fine-tuning, RAG, or agentic systems (e.g., LangChain, Hugging Face, Mistral models)- You are proficient in Python- You are proficient in TypeScript, React/NextJS, NodeJS, and modern web frameworks.- You’re expert workflow automation tools (e.g., Zapier, n8n, Power Automate) and cloud platforms (AWS, GCP)- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences- You have a problem-solving mindset and can tackle ambiguous challenges to deliver robust, scalable solutions.- You have strong collaboration skills and can explain technical concepts clearly to both technical and non-technical stakeholders.- You have a passion for innovation, exploring new technologies, and improving existing systems.

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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 are seeking an experienced Commercial Counsel to join our team. In this high-visibility role, you will be a key contributor to our legal strategy and operations, collaborating closely with commercial teams and senior leaders to advance our mission. Your guidance will be essential as we navigate complex legal challenges, providing critical expertise that fosters innovation and growth while upholding the highest standards of compliance and ethics.Your legal insights will help accelerate the deployment of innovative products, strengthen collaboration with physicians, and reinforce important partnerships. Additionally, you will play a central role in protecting our relationships with healthcare partners, safeguarding our intellectual property, and building lasting trust with physicians, executive leaders, and other key stakeholders.What You'll be Doing:Collaborate with the sales team to develop efficient processes that accelerate deal closures while maintaining rigorous legal standards.Negotiate commercial contracts to enable the delivery of our AI solutions to healthcare providers globally.Design and implement a comprehensive privacy program ensuring full compliance with HIPAA and all Business Associate Agreements (BAAs), safeguarding sensitive medical data in partnership with our security and product teams.Serve as a trusted counsel across product, engineering, and model teams, providing strategic legal support for AI research and model development projects.Build scalable legal processes, tools, and infrastructure—including internal documentation and a modern legal tech stack—to support the company’s rapid growth.Monitor emerging legal and policy trends in the generative AI landscape to ensure Rad AI remains at the forefront of regulatory compliance and innovation.Who We’re Looking For:Minimum of 5 years of legal experience, with at least 2 years focused on negotiating commercial contracts—ideally within a B2B SaaS environment.Juris Doctor (JD) from an ABA-accredited institution and active membership in at least one U.S. state bar.Background in healthcare technology or artificial intelligence, demonstrating a deep understanding of the distinctive legal challenges these sectors present.Proven ability to navigate ambiguity and shape legal strategies within emerging fields.Strong track record of building and maintaining cross-functional relationships, with adaptable communication styles that strike the right balance between business risk-taking and safeguarding organizational interests.Demonstrated ability to proactively identify and pursue opportunities for professional development and to contribute to new initiatives as Rad AI continues to expand—taking on challenging projects and adapting to evolving business needs.Nice to Haves:Knowledge of the healthcare industry and AI technology.Previous experience working in a high-growth startup environment.Passion for healthcare and/or mission-driven technology is a strong plus.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 Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. About Anthropic Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€165.000—€215.000 EURLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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RYZ Labs is seeking a Full Stack Engineer  to work with one of our partners; a start up dedicated to improve the healthcare experience for patients by providing personalized assistance through healthcare advocates. What you’ll do: - Design, build, and launch the patient and advocate-facing apps, backend services, and integrations.- Move fast — prioritize shipping value while managing technical debt intentionally. - Leverage LLMs, APIs, and custom models to automate intake, triage, and follow-up.- Integrate AI into the daily tools advocates use, from summarization to proactive care nudges. - Translate ambiguous product needs into clear, buildable solutions. - Decide what to build in-house vs. integrate via third-party APIs. - Work with clinical, ops, and growth leads to ensure product solves real user problems.- Join early customer calls to see pain points firsthand. What we are looking for: - Have 8**+ years full-stack experience** (e.g., Ruby on Rails, Python/Django, Elixir/Phoenix, or similar backends + React/Next.js or similar frontends).- Have shipped production code in healthcare or another regulated industry.- Are fluent in AI development — prompt engineering, fine-tuning, API integration, vector databases, RAG pipelines.- Can design secure, HIPAA-compliant systems.- Have experience with RESTful APIs, relational databases, and cloud hosting (AWS, GCP, or PaaS like Aptible/Fly.io).- Are 80%+ hands-on coding in your current role and want to stay that way.- Thrive in startup chaos and want a seat at the table in technical + product decisions.- Experience with AI at other startups, strong Django and Python skills and experience working directly with EHRs, claims systems, or care coordination tools is a Plus. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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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:Rad AI’s engineering team is growing quickly for our award-winning product. We are seeking a world-class Engineering Manager to scale our team and drive strategy and execution. As an Engineering Manager, you’ll be responsible for delivering on our product roadmap, partnering cross-functionally across engineering, product, and other organizations, and leading an engineering team where you’ll be responsible for mentorship, career development, and performance management.Our team moves fast and ships code to production continuously and will rely on our engineering leadership success to increase productivity by removing obstacles and keeping processes lean.What You'll Be Doing:Report into our Director of Engineering to manage a team of software engineers at a variety of levelsCross-functionally partner with other groups, including platform engineering, machine learning, product management to advance product features.Bring clarity to ambiguous situations, ensuring feature development aligns with long-term KPI improvements.Invest in individual growth, enabling your team to deliver with quality and confidence.Collaborate with senior leadership to chart out a strategic direction based on vital business metrics.Prioritize clear, constructive feedback, ensuring everyone on the team is aligned and empowered.Who We're Looking For:7+ years of engineering experience with a minimum of 2+ years of engineering management experience.Experience leading cross-functional product engineering teams focused on shipping with quality.Ability to understand KPI and business metrics, as well as the ability to identify and scope product feature work to maximize the business impact.Previous experience in performance management, including the ability to mentor and guide the professional and technical development of your team members.A bias to take action, and an ability to use best available data to justify your actions and opinions and make decisions that move the business forward.Expertise in growing teams, and previous experience recruiting engineers of multiple disciplines while ensuring a successful, supportive onboarding experience.Ability to plan ahead for potential obstacles, communicate areas of risk, and provide clear directives. Anticipate potential obstacles and plan accordingly.Have a philosophy of valuing each team member and understanding individual strengths and areas for growth.Nice to Haves:Experience in a healthcare startup or radiology-focused organization.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 Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product and Go-to-Market teams. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success. If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of Making Conversations More Valuable. Your Impact Collaborate with Product and Go-to-Market teams to understand business objectives and challenges, translating them into data-driven insights and recommendations. Develop and Implement predictive models, analytical tools, and methodologies to analyze product usage, sales trends, customer behaviors, and market dynamics. Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies. Design and Execute experiments to test hypotheses and measure the effectiveness of various product experiences, sales tactics, marketing campaigns, and business strategies. Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation. Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company’s Product and Go-to-Market strategies. Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes. Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness. We're looking for someone who 3+ years as a Data Scientist or similar role, preferably in a technology or AI-driven company. Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization. Strong background in data analysis, statistical modeling, and other data science techniques. Familiarity with B2B go-to-market business models. Excellent ability to translate complex findings into actionable insights for non-technical stakeholders. Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously. Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic start-up environment. Salary range Salary Range: $155,000 to $210,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the roleRay aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend. About the Ray Core TeamThe Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray. A snapshot of projects you can work on:- Optimizing performance of large-scale workloads on Ray- Stability and stress testing infrastructure- Improving fault tolerance (HA)As part of this role, you will:Develop high quality open source software to simplify distributed programming (Ray)Identify, implement, and evaluate architectural improvements to Ray coreImprove the testing process for Ray to make releases as smooth as possibleCommunicate your work to a broader audience through talks, tutorials, and blog postsWe'd love to hear from you if have:At least 2 year of relevant work experienceSolid background in algorithms, data structures, system designExperience in building scalable and fault-tolerant distributed systemsKnowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferredKnowledge of GPU programming is preferredAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.  Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish