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(FEQ127R44) At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes AI, data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers turn their complex data challenges into breakthrough business innovations. You will serve as the trusted technical advisor for your customers. You will work directly with technical and business leaders on their AI and Data strategy and its execution, utilising your skills to demonstrate the value of Databricks as a platform. You'll work with a cross-regional, collaborative, and customer-focused team in partnership with our various internal departments, wider teams, and partners. You will report to the France Emerging Field Engineering Leader. The location for this position is Paris, France. Join us in our quest to change how people work with AI & data and make a better world! The impact you will: Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in AI and data analytics to excite customers about Databricks. You will act as a champion and trusted advisor on multiple architectures, designs, and implementations and lead to the successful adoption of the Databricks Data Intelligence Platform. Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. Grow your expertise to the level of a technical and industry expert.   What we look for: You ideally have 5+ years of experience working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes. You are experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth. You are proficient with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s). Good to have: Cloud certification from AWS, Microsoft or GCP or relevant experience Databricks experience/ certifications are a bonus Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role. Flexible to travel for customer meetings and internal events/trainings (up to 20-30%). Fluent in French.   #LI-hybridAbout 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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CSQ426R259 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, often serving multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: Main use cases moving from ‘win’ to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related to distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management, including account, stakeholder, and resource management accountability Experience in resolving complex and important escalations with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysi,s and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals, or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed LI#Remote  Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.  Zone 1 Pay Range$161,300—$225,800 USDZone 2 Pay Range$161,300—$225,800 USDZone 3 Pay Range$161,300—$225,800 USDZone 4 Pay Range$161,300—$225,800 USDAbout 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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We are seeking a Senior Frontend Engineer to join our core team. In this role, you’ll take ownership of designing and building the user-facing components of our AI-native cloud platform. You’ll architect scalable, high-performance web interfaces that make complex cybersecurity capabilities intuitive and accessible.As our systems become increasingly AI-driven, a key part of your work will be building interfaces that make these intelligent systems explainable and trustworthy. You’ll help users understand how AI decisions are made — turning model outputs and security insights into clear, actionable, and transparent experiences.As a senior member of the team, you’ll shape our frontend architecture, mentor other engineers, and collaborate closely with design and product to deliver exceptional, insight-driven user experiences.ResponsibilitiesArchitect and implement sophisticated, performant web interfaces for our AI-native cloud platform.Drive frontend technical direction, selecting modern frameworks, libraries, and tools to ensure scalability, maintainability, and performance.Collaborate closely with product, design, and backend teams to translate complex cybersecurity use cases into intuitive, user-centered experiences.Define and uphold best practices in coding standards, testing, and frontend architecture.Optimize performance across browsers and devices, ensuring accessibility and responsiveness.Contribute to long-term engineering strategy.Provide expert technical feedback on UX designs and feature requirements. Requirements7+ years of professional frontend engineering experience, with a proven track record of building and scaling production-grade web applications.Deep expertise in React (or similar modern frameworks such as Vue or Angular) and strong proficiency in JavaScript and TypeScript.Strong experience with frontend architecture, APIs and performance optimization.Familiarity with cloud-based environments and integration with backend APIs and services.Comfortable working with AI Coding tools such as Cursor.Demonstrated experience with UI/UX best practices, responsive design, and accessibility standards.Ability to make sound technical decisions in a rapidly-changing environment and communicate trade-offs effectively.Bachelor’s degree in Computer Science or a related field (or equivalent practical experience).A collaborative, proactive mindset with excellent problem-solving and communication skills.

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Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.👩🏽‍🚀 The MissionAs our first Security Engineer, you will define and drive the foundation of security for a next-generation developer platform that powers responsible AI. Your work ensures that every product we build, and every model our customers deploy, is secure, trustworthy, and compliant from the ground up.You’ll collaborate across Engineering and Product to embed security into our development lifecycle, enable rapid innovation without compromising safety, and lead the execution of our compliance roadmap (e.g., SOC 2, ISO 27001). By implementing the technical controls that safeguard our multi-cloud AI platform, you will play a critical role in protecting customer data, earning their trust, and reinforcing Fiddler’s commitment to building AI that the world can depend on.🪐 About The TeamOur Platform Engineering team is a talented, experienced group of engineers who take pride in building the foundation that powers Fiddler’s AI platform. The team is a mix of local and remote members who thrive on open communication, transparency, and genuine teamwork. This team has a ‘gsd’ attitude and is quick to lend a hand, share knowledge, and celebrate wins together.🚀 What You’ll DoDevelop a comprehensive security roadmap that addresses current and future threats, including cloud security, application security, and incident response.Directly implement half of the roadmap yourself with changes from GitHub Actions to Terraform to Python; while delegating the other half to other engineering teams. Drive execution of the engineering roadmap by personally delivering key features and infrastructure improvements (spanning GitHub Actions, Terraform, and Python), while coordinating and delegating the remaining initiatives to other engineering teams to ensure end-to-end delivery.Own our compliance processes end-to-end, including SOC 2 Type 2, GDPR, HIPAA (and more)—by defining and updating controls, supplying evidence during audits, etc.Prepare for and lead our incident response efforts, including developing and testing incident response plans, and coordinating the response to security incidents; work with other engineers to shift left. 🎯 What We’re Looking For5+ years security engineering experienceProven experience as an autonomous senior security role in a startup environment.Deep understanding of both security principles and best practices, as well as infrastructure engineering (sometimes called “DevSecOps”).Hands-on experience with a variety of security tools and technologies in the cloud (on-prem experience is nice-to-have), vulnerability management, and incident response.Coding experience in Python and/or Golang, primarily as it relates to infrastructure tools.Excellent communication and interpersonal skills, with the ability to effectively communicate complex security concepts to both technical and non-technical audiences.A proactive and results-oriented mindset, with the ability to work independently, take ownership of projects and drive them end-to-end across teams.You are comfortable with ambiguity and are a self-starter who thrives in a fast-paced environment.Hands-on experience with AWS technologies (e.g. EC2, VPC, NLB, etc.).A passion for security and a desire to stay up-to-date with the latest threats and technologies.Ability to work at our Palo Alto office 2-3 days a week 🫱🏼‍🫲🏾 Compensation:$192,500-$295,000 for Bay AreaThe posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.Beware of job scam fraud. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or ask for sensitive personal information such as bank account or social security numbers.

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re looking for an AI Researcher to join our core AI team and push the boundaries of large language modeling in the context of conversational AI. If you thrive in fast-moving startup environments, enjoy experimenting with new ideas, and love seeing your work come to life in production then you’ll feel right at home.Your Mission 🚀Conduct research on large language modeling and adaptation for Conversational Avatars (e.g. Neural Avatars, Talking-Heads).Develop methods to model both verbal and non-verbal aspects of conversation, adapting and controlling avatar behavior in real time.Experiment with fine-tuning, adaptation, and conditioning techniques to make LLMs more expressive, controllable, and task-specific.Partner with the Applied ML team to take research from prototype to production.Stay up to date with cutting-edge advancements — and help define what comes next.You’ll Be Great At This If You Have:A PhD (or near completion) in a relevant field, or equivalent research experience.Hands-on experience with LLMs or VLMs and a strong foundation in generative language models.Experience in fine-tuning/adapting LLMs for control, conditioning, or downstream tasks.Solid background in deep learning and familiarity with foundation model methods.Strong PyTorch skills and comfort building deep learning pipelines.Nice-to-HavesKnowledge of large-scale model training and optimization.Broader understanding of generative AI across modalities.Exposure to software development best practices.A flexible, experimental mindset i.e. comfortable working across research and engineering.(Bonus) Publications at EMNLP, COLING, NeurIPS, ICLR, CVPR, ICCV.Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within the U.S. or Europe available for exceptional candidates.

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FECSQ426R273 This role can be based in either Berlin, Munich or remotely in Germany. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from ‘win’ to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed 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 Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that. As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. This is a full-time role starting in June or September 2026 depending on graduation dates. Who we are looking for We’re looking for curious, ambitious graduates who are excited to launch their software engineering careers and make an impact from day one. You’ll join us around June/September 2026 as part of a small, highly collaborative team that’s building the next generation of AI infrastructure. At Encord, you’ll work alongside serial founders, ex-computer scientists, physicists, and quants who care deeply about building great products and shipping fast. We’re looking for graduate full-stack engineers, whether you’re more front-end or back-end leaning, who are passionate about solving real customer problems and thrive in autonomous squads of 4–5 people. Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 50; now, we’re over 100 and continuing to accelerate. Joining us now means stepping in at a crucial stage of expansion for the company, product, and team. Your contributions here will have a real, visible impact. If you’re finishing university and looking for your first full-time engineering role where you can learn fast, build meaningful products, and grow alongside an exceptional team, Encord could be the perfect place for you. What to expect High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will have the opportunity to work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together. You will work alongside amazing team-mates who will help you learn and upskill quickly.Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Eager to learn and grow: You’ve built small projects, coursework assignments, or personal apps, and are excited to apply what you’ve learned to real-world systems. You’re curious about how reliable, high-performance software is built and are keen to learn from experienced engineers.Motivated by impact:You want your work to make a meaningful difference. You’re excited by the idea of contributing to products that real people use and that deliver tangible results.A natural builder: You enjoy creating things from the ground up, whether that’s writing code, designing systems, or experimenting with new technologies. You’re comfortable exploring across the stack and love solving problemsComfortable with ambiguity: You don’t need every detail defined before you start. You enjoy figuring things out, learning as you go, and using feedback to guide your work.Collaborative and supportive: You value teamwork, communication, and helping others succeed. You take feedback well, share ideas openly, and contribute to a positive, high-performing team culture. QualificationsCurrently pursuing or holding a Bachelor’s or Master’s degree in Computer Science, Physics, Engineering, Mathematics, or a related technical field, or have gained equivalent expertise through coding bootcamps or relevant work experience.Proficient in one or more programming languages such as Python, Go, C#, C++, Java, Ruby on Rails, or JavaScript.

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Who we are at Osmo:Osmo is a digital olfaction company, on a mission to give computers a sense of smell to improve the health and wellbeing of human life. Why? Our sense of smell both enriches and saves lives, and has a deep and direct connection to our emotions and memory. Olfactory Intelligence has applications across industries including fragrance, manufacturing, security, medicine, and more. We believe in the power of automation and thoughtfully applied AI/ML to solve problems beyond the reach of human intuition alone. Osmo is headquartered in New York, NY, with a new facility in New Jersey, and offices in Somerville, MA.Osmo is seeking a Senior Backend Engineer with deep expertise in distributed systems architecture to join our Software team. The ideal candidate has experience building robust, scalable systems that bring our Olfactory Intelligence to life.Key ResponsibilitiesDesign and scale high-performance backend systems and APIs that power real-world products.Evolve service architectures for scalability, reliability, and maintainability, balancing speed with technical excellence.Lead design reviews and shape architectural decisions that define the long-term health of our systems.Mentor engineers, raise the technical bar, and foster a culture of quality and collaboration.Own services end-to-end, from design and implementation to deployment, observability, and optimization.Drive meaningful impact by connecting strong engineering fundamentals with clear business and product outcomes.Required Qualifications5+ years of experience designing, building, and operating scalable backend systems and distributed architectures.Deep understanding of system design, performance optimization, and fault tolerance.Fluency in Python, with expertise in RESTful API design, frontend integration patterns, and data storage systems (e.g., BigQuery, Snowflake, PostgreSQL).Experience deploying and maintaining systems on cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS).Track record of leading complex initiatives and shaping technical direction across teams.Product-minded and pragmatic, balancing long-term architecture with fast, high-quality delivery.Excellent communicator who can bridge technical and non-technical audiences.Ways to stand outExperience building and integrating with third-party Application Programming Interfaces (APIs) and external data sources.Ability to collaborate across backend, data, and frontend domains to deliver cohesive systems.Interest in olfaction and the technical challenges of representing complex real-world phenomena in code.Salary Range: 160K - 190K annuallyBenefits: Medical, Dental, Vision, 401K, and more.If this role inspires you we’d encourage you to apply. We are committed to recruiting, developing, and retaining an incredible team optimized for a diversity of thought, background, and approaches. Base salary is just one component of Osmo’s total rewards package, which is designed to support the well-being, growth, and long-term success of our team members. Our comprehensive package includes health, dental, and vision coverage; a 401(k) retirement savings plan with company match; flexible paid time off and company holidays; and equity or incentive compensation for eligible roles. Actual compensation will vary based on factors such as experience, skills, location, internal equity, and other relevant business considerations. Osmo regularly reviews pay ranges to ensure they remain competitive, equitable, and aligned with current market data.All employment decisions and responsibilities are determined based on current ability and your ability to grow, without regard to race, color, gender identity, sex, sexual orientation, religion, age, marital status, physical, mental, or sensory disability, or any other characteristic protected by applicable law. Recruitment & Staffing Agencies: Osmo does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Osmo or its employees is strictly prohibited unless contacted directly by the Osmo Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Osmo and Osmo will not owe any referral or other fees with respect thereto.

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About Eudia:   Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver.    At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation.    We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you.    About the Role:   As Customer Success Manager you will lead strategic AI transformation initiatives for Fortune 500 legal departments and will be responsible for successful delivery of our platform and solutions. Operating at the intersection of account strategy and execution, you’ll own senior client relationships and shape how leading organizations leverage AI to transform their operations. You will work with Eudia’s Product and Delivery teams to oversee delivery and in-life performance for enterprise clients, ensuring successful implementation, adoption, and measurable success of our platform and will bring an analytical mindset to assess business value, determine ROI, and establish success metrics for ongoing customer engagements. You will work closely with sales, and as part of the account team, to identify areas where our clients can further benefit from AI products and services.     We are seeking individuals with a proven track record in managing the delivery and success of complex software & services implementations for large enterprise clients. Legal training or experience working with legal teams is an advantage. This role offers significant autonomy, executive exposure, and the opportunity to shape both client strategy and product direction.   Key Responsibilities: Strategic Vision & Solution Design Co-create innovative AI solutions with Fortune 500 legal departments, aligning workflows and technology to unlock breakthrough value  Educate and inspire customers on AI possibilities, serving as their trusted advisor on emerging capabilities and future state vision  Design and implement multi-year roadmaps that address complex functional and business challenges   Value Creation & Delivery  Lead end-to-end implementation of AI initiatives, quarterbacking cross-functional teams to deliver high-stakes programs with measurable business impact  Orchestrate internal resources to bring the best of our capabilities to each customer  Develop and implement frameworks to measure ROI and showcase value realization to stakeholders  Customer Leadership & Growth  Build and nurture executive relationships across legal, technology, and business functions  Identify and unlock new value opportunities within existing customers  Lead customers through their AI transformation journey while expanding relationships and unlocking additional value  Provide training & support to customers legal teams as part of the journey   Product & Function Development  Be the voice of the customer internally, shaping our product roadmap and go-to-market strategy  Lead the development of best practices and frameworks that can scale across our customer base  Qualifications: 5+ years of experience in enterprise software implementation, or equivalent strategic roles in software & services companies.   Experience supporting and delivering to the largest companies in the world  Comfort with AI and advanced technologies with an ability to learn quickly and train & mentor customers on the technology  Bachelor’s degree in business, computer science, or related fields   Legal training or a law degree is an advantage, but not required   Exceptional analytical capabilities and structured problem-solving skills demonstrated through complex client engagements or software implementation programs  Strong interpersonal and collaboration skills for building strong, lasting relationships  Proven ability to tailor communication to diverse technical, sales, and executive-level stakeholders  Excellent organizational, time management, verbal, and written communication skills  Track record of handling multiple customers, projects and workstreams concurrently  Experience working with Enterprise legal operations (Legal Ops) is preferred  Enthusiasm for AI transformation, legal technology, or disruptive service models  Why You’ll Love Working Here: Impactful Work: Be part of a team that’s at the forefront of AI innovation. Growth Opportunities: Work in an environment that encourages professional growth and the exploration of new ideas. Dynamic Culture: Join a group of passionate, driven individuals who are committed to making a difference. If you’re ready to take on the challenge and make an impact in a rapidly evolving industry, we want to hear from you!

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Inference team develops and enhances the inference stack for serving H-models that power our agent technology. The team focuses on optimizing hardware utilization to reach high throughput, low latency and cost efficiency in order to deliver a seamless user experience. Key Responsibilities:Develop scalable, low-latency and cost effective inference pipelinesOptimize model performance: memory usage, throughput, and latency, using advanced techniques like distributed computing, model compression, quantization and caching mechanismsDevelop specialized GPU kernels for performance-critical tasks like attention mechanisms, matrix multiplications, etc.Collaborate with H research teams on model architectures to enhance efficiency during inferenceReview state-of-the-art papers to improve memory usage, throughput and latency (Flash attention, Paged Attention, Continuous batching, etc.)Prioritize and implement state-of-the-art inference techniquesRequirements:Technical skills:MS or PhD in Computer Science, Machine Learning or related fieldsProficient in at least one of the following programming languages: Python, Rust or C/C++Experience in GPU programming such as CUDA, Open AI Triton, Metal, etc.Experience in model compression and quantization techniquesSoft skillsCollaborative mindset, thriving in dynamic, multidisciplinary teamsStrong communication and presentation skillsEager to explore new challenges Bonuses:Experience with LLM serving frameworks such as vLLM, TensorRT-LLM, SGLang, llama.cpp, etc.Experience with CUDA kernel programming and NCCLExperience in deep learning inference framework (Pytorch/execuTorch, ONNX Runtime, GGML, etc.)Location: Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.The final decision for this will lie with the hiring manager for each individual roleWhat We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.The Technical Program Manager will drive the end-to-end execution of next-generation SoCs, from early architecture through RTL, verification, DFT, physical design, tape-out, and post-silicon validation. This role requires strong technical depth in silicon development alongside program management expertise to ensure successful delivery of complex, cross-functional projects. This role is hybrid, based out of Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Comfortable operating at the intersection of technology, execution, and business. Skilled at breaking down complexity into clear goals and deliverables. A strong communicator who ensures alignment across technical and non-technical teams. Proactive, adaptable, and capable of thriving in ambiguity. Driven by impact and motivated to shape the future of silicon and AI platforms.   What We Need Bachelor’s or Master’s degree in Electrical/Computer Engineering or related field. 10+ years of semiconductor experience (Architecture, Physical Design, RTL, Design Verification, or Program Management). Strong understanding of chip architecture, design flows, and system-level tradeoffs. Familiarity with industry standards across compute and SoC (e.g., ARM, RISC-V, AI accelerators, interconnect protocols). Experience leading large, cross-functional engineering teams and managing dependencies. Proficiency with project management tools (e.g., JIRA, Confluence) and structured reporting.   What You Will Learn How advanced SoC programs integrate CPUs, accelerators, interconnect, and memory subsystems. The balance of technical tradeoffs across power, performance, area, and time-to-market. Best practices for coordinating hardware, software, and system teams on high-stakes projects. Insights into emerging technologies in AI compute, networking, and silicon platforms. How to manage execution across multiple global teams in a fast-moving environment.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.Tenstorrent is seeking a Customer Technical Program Manager to lead engagements around our RISC-V CPU server and machine learning processor architectures. In this role, you’ll serve as the primary interface between our customers and our engineering/architecture teams—ensuring that customer requirements are understood, translated into execution plans, and delivered through coordinated SoC development programs. You’ll balance program management discipline with technical depth, enabling customers to succeed with Tenstorrent technology while driving alignment across internal teams This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Customer-first mindset, comfortable serving as the voice of the customer internally. Technically savvy, able to engage deeply with architecture, design, and validation teams. Organized and detail-oriented, with a track record of hitting milestones in complex programs. Collaborative, able to balance customer needs with internal priorities. Confident communicator, able to influence across technical and business stakeholders.   What We Need 7+ years of experience in technical program management or related leadership roles, ideally in CPU, SoC, IP or AI hardware programs. Strong technical background in RISC-V, server CPU, SoC architecture is preferred Proven ability to lead customer-facing programs, ensuring requirements are tracked and delivered Strong skills in project scheduling, risk management, and cross-functional coordination. Excellent communication skills for translating complex technical issues into clear customer updates.   What You Will Learn How customers integrate RISC-V IPs in real-world platforms Best practices for bridging technical program management with customer engagement in complex SoC programs. Exposure to cutting-edge CPU, accelerator, and SoC architectures driving the next generation of compute. How to navigate customer priorities in fast-paced, high-stakes technology engagements. Strategies for balancing internal innovation goals with external delivery expectations.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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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. About the role As a Federal Partners Account Executive at Anthropic, you'll drive revenue by selling our safe, frontier AI solutions directly to Systems Integrators (SI) and Independent Software Vendors (ISV) in the public sector space. You'll focus on enabling these organizations to leverage Anthropic's AI capabilities within their own solutions and service offerings. Working closely with GTM, product, and marketing teams, you'll help these partners understand and implement our technology while driving significant revenue growth. Responsibilities: Win new business and drive revenue for Anthropic working with Systems Integrators and ISVs in the public sector space, owning the full sales cycle from prospecting through close Identify and secure strategic deals with SIs who hold prime contracts with government agencies Navigate complex technical sales conversations with partners' engineering and product teams Work with partners' technical teams to ensure successful implementation of Anthropic's AI capabilities into their solutions Coordinate with cloud providers (AWS, GCP) to align technical and commercial aspects of deals Build deep relationships with key decision makers within partner organizations Provide market intelligence and partner feedback to product teams to influence our roadmap and feature development Create and maintain sales playbooks specific to SI and ISV sales motions Track and forecast sales pipeline specific to the partner segment You may be a good fit if you have: 7+ years of enterprise sales experience selling to Systems Integrators and ISVs Security clearances preferred A strong track record of closing complex technical sales to partner organizations A deep understanding of how SIs and ISVs integrate and implement new technologies into their solutions Experience navigating technical requirements and security standards specific to public sector implementations A proven ability to exceed revenue targets in partner-focused sales roles Strong technical acumen and the ability to engage with partners' engineering teams Experience coordinating with cloud providers in complex deal scenarios Excellent communication skills and ability to present to both technical and business audiences Strategic thinking combined with hands-on sales execution capabilities An understanding of public sector procurement processes and how partners operate within them A passion for safe and ethical AI development, with the ability to articulate its technical value to partner organizations 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:$280,000—$410,000 USDLogistics 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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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Why Engineering at Dataiku? Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here. Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset).  Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here. How you’ll make an impact This position is either onsite/hybrid from our Berlin office or full remote from any part of Germany. As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes: Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs. Add new capabilities for data integration, transformation, and visualization using LLMs Optimize workflows for large-scale datasets and improve database support Strengthen developer tools like Jupyter notebooks and SQL workbenches Tech stack: Java, Python, AngularJS, Angular Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards. Develop new chart types and optimize visualization performance Enhance dash boarding capabilities to deliver fast and flexible experiences Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models Collaborate with research teams on innovative machine learning experiments Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines. Optimize processing engines for scalability and latency Expand capabilities to support new databases and cloud platforms Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes. Develop customizable platforms for managing AI compliance and governance Simplify policy enforcement and integration across disparate systems Tech stack: Java, Angular, PostgreSQL What you need to be successful  We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product We’re hiring at all levels (junior, mid, senior) A passion for combining backend performance with exceptional frontend user experience. You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale What does the hiring process look like? Initial call with a member of our Technical Recruiting team (45min) Video call with an Engineering Team Lead (1h30) Technical Assessment to show your skills (Home Test or Live Coding) Final Interviews with our VPs of Engineering (2h)   #LI-Remote   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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Why Delphi? At Delphi, we are redefining how knowledge is shared by creating a new medium for human communication: interactive digital minds that people can talk to, learn from, and be guided by.The internet gave us static profiles and endless feeds. Delphi is something different: a living, interactive layer of identity. It carries your voice, perspective, and judgment into every conversation—so people don’t just read about you, they experience how you think.Our mission is bold:Make human wisdom abundant, personalized, and discoverable.Preserve legacies, unlock opportunities, and scale brilliance across generations.Delphi becomes everyone's living profile to show what you know.We are trusted and loved by thousands of the world’s most brilliant minds from Simon Sinek to Arnold Schwarzenegger (interact with all of them here). We have tripled revenue, users, and Delphi interactions in the past 6 months - all organically through word of mouth. We plan to accelerate even further from here.Delphi’s investors include Sequoia Capital, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde, and dozens of founders from Lyft, Zoom, Doordash, and many more. Our team includes founders with successful exits and builders from Apple, Spotify, Substack and more.Learn more about Delphi and this position by calling the CEO’s digital mind here!Who You AreCode-first builder with exceptional design taste - You're a front-end engineer who happens to have a great eye for design. You can debate the merits of Server Components vs Client Components as easily as you can critique visual hierarchy.Master of the modern web stack - React, Next.js, TypeScript, and Tailwind aren't just tools you use—they're tools you've mastered. You know the performance implications of your choices and write code that's both beautiful and fast.Obsessive about craft and details - You notice when animations feel off by 50ms, when a loading state causes layout shift, or when a color doesn't meet WCAG standards. You fix these things without being asked.Full-stack front-end engineer - Comfortable working across the entire front-end stack, from API integration and state management to responsive layouts and micro-interactions. Bonus if you can jump into Python backends when needed.Owner, not executor - You prototype quickly, gather feedback, iterate fast, and ship confidently. You take features from zero to production and own the outcomes.Product-minded engineer - You push back on designs that don't serve users, suggest improvements to the product direction, and think deeply about user flows. You build with empathy and intention.Comfortable in ambiguity - You thrive when the problem space is undefined. You're energized by questions like "how should people discover Delphi's?" rather than paralyzed by them.What You'll DoBuild the core interfaces of Delphi Studio - Own and ship the primary user-facing features: creation flows, customization tools, and interaction patterns. You'll write the React components, build the APIs integrations, and polish every detail.Create a discovery platform for digital minds - Design and implement the browsing experience, search functionality, filtering systems, and recommendation interfaces. Make exploring thousands of AI personas feel effortless and delightful.Architect scalable front-end systems - Build reusable component libraries, establish patterns for state management, optimize bundle sizes, and ensure the app performs beautifully at scale.Translate AI complexity into simple UX - Work directly with product and backend engineers to understand AI capabilities, then build interfaces that expose the power while hiding the complexity.Set the standard for quality - Your code will be the example others follow. Write clean TypeScript, build accessible components, implement smooth animations, and establish the bar for what "production-ready" means.Collaborate across disciplines - Partner closely with designers to refine mockups and improve interactions. Work with backend engineers to define API contracts. Sync with product to shape roadmap priorities.Why You'll Love It Here We work on hard problems. Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives.There is extreme upside. Very competitive salary and equity in a company on a breakout trajectory.We push each other. Work from our beautiful Jackson Square office in San Francisco, surrounded by peers pushing to do their best work.BenefitsUnlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together.Health, Dental, Vision: Comprehensive coverage to keep to take care of your health.401k covered by Human Interest.Relocation support to SF (as needed)If you’re looking for just a job, Delphi isn’t the right fit. But if you want to shape the future of human connection, scale wisdom for billions, and build something that will outlast us all - you’ll feel at home here.

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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.About the role As a Federal DOD/IC Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across DOD/IC agencies. You'll leverage your deep understanding of DOD/IC operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the DOD/IC market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within DOD/IC agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of DOD/IC procurement, including DFAR compliance, ITAR/EAR regulations, security clearance requirements, and agency-specific security protocols Build and maintain relationships with key decision-makers across DOD/IC agencies, becoming a trusted advisor on AI capabilities and implementation in classified and unclassified environments Develop and execute strategic account plans that align with mission requirements, operational needs, and modernization initiatives Coordinate closely with cleared cloud service providers and cleared system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet DOD/IC requirements, including classification levels and air-gapped environments Create and maintain sales playbooks specific to DOD/IC use cases, procurement processes, and security requirements Take a leadership role in growing our DOD/IC presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements with proper security protocols You may be a good fit if you have: 7+ years of enterprise sales experience in the DOD/IC space, with a proven track record of driving adoption of emerging technologies Deep understanding of DOD/IC agency missions, operational challenges, and technology needs across classification levels Active security clearance (TS/SCI preferred) with ability to discuss capabilities in classified environments Demonstrated ability to balance strategic leadership with hands-on sales execution in high-security environments Experience navigating complex DOD/IC procurement processes, including knowledge of SEWP, CIO-SP3, GSA, and other relevant contracting vehicles Strong track record of exceeding revenue targets in the DOD/IC space Extensive experience with DOD/IC contracting vehicles, procurement mechanisms, and security compliance requirements Excellent relationship-building skills across all levels, from technical teams to senior agency leadership, including military and civilian leadership Proven ability to coordinate across multiple stakeholders, including cleared cloud providers, cleared system integrators, and security personnel Strategic thinking combined with attention to detail in execution, particularly regarding security protocols A passion for safe and ethical AI development, with the ability to articulate its importance in national security contexts 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:$280,000—$410,000 USDLogistics 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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TL;DR - We’re looking for a Founding GTM (Account Executive) to drive Lovable’s next chapter of growth by bringing our AI-powered software creation platform to startups and enterprises across the world. You’ll own the full sales cycle - from outreach to close - turning curiosity into conviction and conviction into contracts. If you thrive on momentum, storytelling, and multi-threaded deals, this is your arena.Why Lovable?Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.What we’re looking forProven success closing mid-market or enterprise SaaS dealsTrack record of full-cycle selling - prospecting, discovery, demos, negotiation, and closeStrong communicator who can translate technical and product concepts into clear business valueExperience navigating multi-stakeholder deals across product, engineering, and leadershipBuilder mindset - you’re excited to shape GTM motion and systems in a fast-scaling orgCuriosity and hunger to master Lovable’s product deeply; you lead with insightComfort with ambiguous, high-growth environments where speed and precision matterBonus: Experience selling AI or developer tools, or working in product-led growth motionsWhat you’ll doOwn and run end-to-end sales cycles with precision - from first touch to signed contractCraft strategic account plans that identify whitespace, map stakeholders, and unlock expansionLead compelling demos and discovery sessions, tailoring value to technical and business buyersCollaborate cross-functionally with Product, Marketing, and Customer Success to deliver seamless onboarding and retentionBuild ROI-driven business cases that connect Lovable’s capabilities to real outcomesMaintain pipeline accuracy and forecasting discipline across all active dealsUse insights from customer conversations to influence product roadmap and GTM strategyChampion a repeatable, data-driven GTM motion as we scale from startups to enterpriseHow we hireFill in a short form then jump on an initial exploratory call.Discuss your experience in more depth during a round of interviews with us.Join us for a workshop lasting 1-2 days remote or onsite. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.About your applicationPlease submit your application in English. It’s our company language so you’ll be speaking lots of it if you join.We treat all candidates equally - if you’re interested please apply through our careers portal.

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About Glean:   Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.   Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: As a Delivery Excellence Manager (DEM), you will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. DEMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements. You will: Help our customers achieve real business outcomes through the use of AI Serve as the primary lead on new customer deployments including hands on guidance for the setup of SSO and connectors  Own the end-to-end delivery from kickoff to  go-live thru renewal, ensuring clarity on expectations for all stakeholders  timeline, andServices budget. Create and execute on joint success plans that drive additional adoption, deepen engagement, and result in measurable business value. Overall program management. Develop, communicate, and execute tailored project plans; facilitate cross-functional collaboration across delivery, operations, and technical teams. Provide a blend of technical guidance and strategic partnership, acting as escalation manager when necessary. Monitor and report on deployment progress, customer adoption, and satisfaction metrics. Proactively identify risks or blockers and drive resolution—escalating internally when appropriate. Guide and document improvements for onboarding processes, playbooks, and best practices. Contribute to continuous process and product improvements by providing actionable feedback and participating in internal initiatives About you: 3-5 years of experience in technical deployment, implementation management, or technical account management of SaaS products at Enterprise customers. Strong understanding of software development life cycles and methodologies, including Agile and DevOps practices. Familiarity with cloud platforms (AWS, GCP, or Azure) and related services. Excellent analytical and problem-solving skills, with a focus on troubleshooting technical issues as well as  building consensus around outcomes and success measures. Strong organizational, project management, and communication abilities. Proven experience serving enterprise clients in both strategic, consultative and tactical, hands-on roles. Experience with process documentation, playbooks, and continuous improvement initiatives. Solutions-oriented mindset; trusted advisor with capability to own escalations. Capable of handling ambiguity and thriving in a fast-paced environment. Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must Technical configuration and troubleshooting A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features Strong verbal and written communication skills for collaboration between customers and technical and non-technical stakeholders. Curiosity and tenacity Note: This role with require you to work in EMEA/US East hours. Location:  This role is hybrid (4 days a week in our Bangalore office) #LI-HYBRID

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About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.About the Role We are seeking a highly motivated Scientist/Senior Scientist to join our dynamic team at Xaira Therapeutics. In this role, you will spearhead the design and execution of cutting-edge experiments aimed at accelerating our drug discovery and development efforts by applying functional genomics approaches, developing high-throughput screens and driving new technology initiatives. The successful candidate should possess strong technical expertise & laboratory skills, have excellent written and oral communication skills, work productively in a collaborative cross-functional team environment, and keep current with the field of expertise, including literature and technology development.    Key Responsibilities Design, implement, and scale high-throughput functional screening strategies for binder discovery and lead characterization in mammalian systems. Evaluate and pilot emerging technologies and experimental workflows.  Develop and optimize automated workflows, ensuring data quality, reproducibility, and process efficiency Partner with drug discovery, computational biology, and AI-based protein design teams to analyze, interpret, and share insights from screening data. Independently manage multiple projects, ensuring timely delivery of high-quality data and adherence to team goals. Maintain accurate records of experiments, protocols, and findings, and contribute to internal and external scientific presentations. Qualifications Ph.D. in Genetics, Molecular Biology, Cell Biology, Biochemistry, Functional Genomics, or related field, with 1-3 years of postdoctoral or industry experience.  Proficiency with molecular biology techniques, complex library construction, flow cytometry and cell line engineering  Experience with high throughput antibody display technologies, including yeast, phage or mammalian display is a plus Strong analytical skills and the ability to troubleshoot complex experimental issues independently. Strong data analysis capabilities, including proficiency with visualization and statistical software (e.g., GraphPad Prism, R, Python). Excellent written and verbal communication skills; ability to present scientific findings clearly and concisely to diverse audiences. Enthusiastic team player who can work effectively across interdisciplinary teams.   Compensation The base pay range for this contract temp position is expected to be $75-95 hourly; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.  Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. XairaTherapeutics is not responsible for any fees related to unsolicited resumes.

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us We’re looking for an AI Agent Engineer to lead the charge in building and deploying enterprise-grade Voice, Chat AI agents and AI Copilot. This role is hands-on, customer-facing, and pivotal in bringing AI solutions to life - from design and integration to deployment and optimization. You’ll own the end-to-end lifecycle of AI agents: building, integrating, testing, demoing to clients, deploying into production, and tuning performance. What you’ll be doing Build & Deploy Agents: Own the full AI agent build process - prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement: Lead weekly demos, show progress, gather feedback, and act as the primary technical point of contact once a solution is defined. Systems Integration: Configure APIs, data maps, authentication, error handling, and connect to CRMs, databases, or knowledge systems. Telephony Integration: Set up SIP/CCaaS/PSTN routing, pass metadata, configure fallbacks, and troubleshoot call quality. Optimization: Monitor performance, refine prompts, test iteratively, and ensure agents meet automation and containment targets. Strategic Partner: Translate customer requirements into actionable solutions; work consultatively to unblock challenges in security, connectivity, or knowledge ingestion. Shadow Core Engineering: Collaborate with product/engineering teams for deep technical fixes and platformization, while independently leading client delivery. What you'll bring to the role 3+ years in conversational AI, ML engineering, or system integration with hands-on delivery of AI/LLM-based solutions. Strong skills in prompt engineering, workflow building, API integration, and telephony (SIP, Twilio, Amazon Connect, etc.). Familiarity with LLMs (GPT, Claude, Gemini), vector DBs, and orchestration frameworks (LangChain, LlamaIndex, etc.). ML expertise in embeddings, retrieval-augmented generation (RAG), evaluation frameworks, fine-tuning models, and performance optimization. Solid programming skills (Python, JavaScript, or similar). Comfort leading customer-facing discussions - from deep technical troubleshooting to weekly project demos. Strong problem-solving mindset: ability to find workarounds, unblock integrations, and adapt to customer-specific ecosystems. Bachelor’s degree in Computer Science, Engineering, or a related technical field Hands-on experience with Integration Platform-as-a-Service (iPaaS) providers, such as n8n, Zapier, or similar platforms and proficient in API integrations and data flow management. Strong experience in telephony integrations, including knowledge of protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $108 - 170K per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.  #LI-Remote