Find AI Work That Works for You

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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 Mission:Our AI engineers make a real impact on the safety and ROI of large language models and agentic applications across different verticals and domains. You will work on the cutting edge of envisioning and building new types of tools and algorithms to monitor, explain, and improve such applications and in turn empower our customers.🪐 About The Team:Our engineering team is a dynamic group of builders and thinkers dedicated to solving some of the most cutting-edge challenges in AI safety and reliability. Working on exciting and an expansive range of topics, from the responsible deployment of machine learning models, large language models (LLMs), to complex agentic applications. Our projects are inherently cross-disciplinary, requiring expertise in systems engineering, product engineering, and data science to build robust, scalable solutions. We thrive in a collaborative environment where continuous learning is at the forefront, ensuring every team member stays on their toes with the latest advancements in AI. Joining our team means you'll have the opportunity to make a tangible impact on how AI evolves for the benefit of humanity.🚀 What You’ll Do:Design and build core services and components of a world-class cloud platform to help enterprises develop, monitor and improve their full suite of AI based applications (covering predictive models, LLMs, GenAI models and agentic applications)Lead the design and implementation of distributed systems, microservices and applications that compute, persist, and expose new ML + agentic observability metrics (e.g., response relevancy, hallucination scores) from raw trace dataSpearhead the development of new types of metrics and evaluation capabilities to satisfy evolving customer needs around agentic applications. Take part in conversations with customers around discovery and supportDeveloper in-house AI Agents and GenAI capabilities to augment the Fiddler observability productsDefine and evolve the operational maturity (reliability, observability, SLOs, observability) of core services and components, establish best practices and champion improvements across the teamTeam & Culture Building: you will take an active role in building a world-class engineering team and actively participate in the talent acquisition process through interviewing, candidate evaluation and coaching 🎯 What We’re Looking For:Masters or Bachelors degree in Computer Science or related field, combined with 7+ years of industry experience, with demonstrated solid foundation in software development.Experience with deploying and working with ML/LLM models in production.Experience building, deploying and monitoring agentic applications using common frameworks like Langchain, Google ADK, Amazon Strands, OpenAI and building and integrating MCP ServersHands-on experience working with OpenTelemetry, distributed tracing and LLM-as-a-judge techniquesDeep proficiency with Python and a strong command of essential backend technologies like Postgres, Redis, Kafka, RabbitMQ, Ray. This includes the ability to design, build, and debug complex, large-scale systems.Adaptability & Ownership: proven ability to thrive in ambiguity and a fast-paced environment. We need a self-motivated initiator who can take ownership of projects with a high degree of autonomy, confidently filling in the gaps when the full picture isn't available.System Design & Optimization: A strong grasp of distributed systems and the capacity to troubleshoot production issues.Technical Leadership & Collaboration: Demonstrated ability to plan, execute, and deliver projects by effectively breaking down complex problems into manageable tasks, and guiding a small team of engineers. Must be adept at cross-functional collaboration across a geographically distributed team, working closely with product managers, designers, frontend developers, and data scientists to ensure alignment and successful project outcomesCoaching & Mentorship: you should be an excellent collaborator and a mentor to other team members, raising the technical bar for the entire team and regularly engage in code and design reviews.Ability to work in our Palo Alto office 3 days a week🫱🏼‍🫲🏾 Compensation: $190,000 - $300,000 + equity + benefitsThe 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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(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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AI Deployment Engineer About Bland AIWe’re a series B startup, and have raised $65 million from Emergence Capital, Y Combinator, and the founders of PayPal and Twilio. We have grown to a 80+ person team, and we serve customers like Better.com, by delivering the most friendly, helpful, and human-like AI phone agents in the world.Why This Role ExistsEvery customer is different — the problems they’re solving, the data they have, and the impact they want to create with AI. We’re looking for someone who thrives in that ambiguity, who can take fuzzy goals and transform them into working, production-ready agents that deliver real value. You’ll work directly with customers to understand their workflows, build tailored agents, and help shape how Bland is adopted across their organization.What You’ll DoDesign and deploy AI solutions. Work closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes.Prototype fast, iterate faster. Build the first version quickly, get it into production, and refine based on real-world feedback.Collaborate deeply. Partner with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes.Own end-to-end delivery. From discovery call to deployment, you’ll lead the technical build, testing, and iteration — ensuring the experience feels natural, human, and on-brand.Drive adoption and expansion. Share results, train teams, and embed yourself within the customer organization to uncover new opportunities for automation and scale.Be the face of Bland. You are the customer’s champion, their best employee, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners. Must-Have Qualifications1–5 years of experience in full-stack, AI, or solutions engineering roles where you owned builds from concept to production.Proven experience building and integrating AI or automation features into real-world applications.Hands-on experience integrating LLMs or AI SDKs into web applications.Strong comfort working with REST/JSON, scripting languages (Python or JavaScript), and modern dev tools (Git, NPM/PNPM).Track record of ownership and grit — moments where you built something from scratch, solved hard problems, or exceeded expectations.Excellent communication skills — you can explain complex AI concepts clearly to both technical and non-technical audiences.Thrives in a fast-moving, high-intensity environment — motivated by challenge, curiosity, and the pursuit of great work.Willingness to work in-person frequently (SF HQ and customer sites) to collaborate and accelerate learning. Nice-to-HavesHands-on experience experimenting with or deploying LLM-powered tools or agents.Prior startup or founder experience — you know what it takes to build without a playbook.Curiosity about AI agent design, orchestration, and automation systems.Experience working directly with customers to identify pain points and turn them into shipped solutions.A portfolio of personal or side projects that showcase creativity, technical depth, and persistence.Exceptional new grads with strong ownership and ambition are welcome to apply. Why you'll love working hereYou’ll be joining one of the fastest-moving AI teams in the world — where speed, creativity, and ownership are the default. You’ll ship real agents used by real customers, working directly with teams that are transforming how humans and AI collaborate.This role is perfect for someone who loves building, learning, and pushing boundaries a hands-on candidate who wants to see their work in the wild, solving real problems for real people.Relentlessness is the most important qualityIf you think you’re missing relevant experience but you’re a fast learner who’s excited for a new challenge – and you have the intangibles our team is looking for – please reach out. As long as you’re resourceful and a fast learner (and you can prove it to our team) we would love to meet you.Compensation & PerksSalary: $120k – $175k base + meaningful equity + benefits. Gorgeous office in Jackson Square, San Francisco (rooftop views & great coffee shops nearby).

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Worth AI, a leader in the computer software industry, is looking for a talented and experienced Senior Full Stack Back End Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Responsibilities Back End Focused - Design, develop, and maintain scalable and high-performing web applications using modern technologies and frameworks. Collaborate with cross-functional teams to gather and analyze user requirements and translate them into technical specifications. Develop and implement front-end user interfaces and intuitive user experiences. Write clean, secure, and efficient code to ensure high-quality software development. Conduct thorough testing and debugging to ensure software functionality and reliability. Participate in code reviews and provide constructive feedback to improve code quality and maintainability. Keep up to date with industry trends and emerging technologies to continuously enhance the software development process. Completes all technical tasks assigned in each sprint Understands and improves all code bases currently under development Keep products up to date with new technology Assist in product releases, revisions, patches and code reviews Support and troubleshooting issues with existing code Collaborate closely with other teams within the organization Researches new technology and best solutions for each problem Be transparent in sprint planning/retrospectives Requirements Proven experience as a Full Stack/ with heavy back end experience designing and developing web applications. Proficiency in programming languages such as JavaScript, Python, Node.js Strong knowledge of front-end technologies including JavaScript frameworks (e.g., React/Typescript). Experience with back-end technologies like Node.js, Express.js, and relational databases (e.g., MySQL, PostgreSQL). Familiarity with cloud technologies (e.g., AWS, Azure) and containerization (e.g., Docker, Kubernetes, Argo CD, Kafka) Knowledge of version control systems (e.g., Git) and software development methodologies (e.g., Agile, Scrum). Superb verbal and electronic communication skills Experience with DevOps - prefer AWS Security principles and architecture Prior experience in Risk, Underwriting and/or Payments Industry is preferred Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Vacation Work From Home Free Food & Snacks (in office) Wellness Resources

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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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We’re looking for an Applied Machine Learning Engineer to design and deploy intelligent systems to automate infrastructure workflows. You’ll work hands-on with cutting-edge technologies—LLMs, knowledge graphs, and advanced retrieval systems—to build scalable, agentic systems. You’ll rapidly prototype, experiment, and take projects from concept to production. If you thrive in fast-paced environments and are passionate about applied AI, this is the role for you.About AntimetalAntimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products.What you bring:At least 5 years of experience in applied machine learning or a related role, preferably at a high-growth companyDemonstrated ability to design and deploy large-scale machine learning systems that add new value to the product.Strong on ML fundamentals: classification/regression, clustering, dimensionality reduction, evaluation & error analysis, probabilistic MLReal world expertise in one area of applied ML: search, statistical modeling, NLP, etc.Experience constructing and running end-to-end evaluation pipelines with real world data.Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools.Strong problem-solving skills, with a focus on creating highly maintainable, scalable code.Excellent communication and collaboration skills.Comfortable with iterative development, prototyping, and adapting quickly to feedback.Bonus:Hands-on experience with vector/hybrid search.Experience with dataset curation or synthetic dataset generation for novel problem domains.A passion for staying ahead of applied AI trends and prototyping emerging technologies.Contributions to open-source ML tools or libraries.Experience with Go or another systems language.Who you are:Identify as a builderAre excited to work in-person from our new and spacious office in New YorkLove working in a startup environment (experience in a startup or obsession with going zero-to-one)Enjoy working with people who are ambitious, caring, and think in systemsThrive in a fast-paced iterative environment where experimentation is essentialWhat we bring:Pay & ownership — Competitive salary with generous equity grants.Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.Unlimited PTO — Take the time you need to recharge.Dinner on late nights — Working late? Dinner is on us.Fitness stipend — Monthly support for your health and wellness.Tools of the trade — Any equipment you need to do your best work.Commute perks — Citi Bike + train benefits.Interview processApplication Review – Send us your stuff, and a quick note on why you're excited.Intro Chat: Share what you're looking for next and learn more about what we're building.Founder Interview: Talk with one of our founders in more detail about the roleTechnical Interview: We’ll have you complete a short exercise specific to the role.Onsite: Come onsite and meet the team through a series of 1:1 interviews.Decision – We’ll move fast.

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.Engineering at Ada As an Ada engineer, you’ll have the autonomy to make a huge impact and the opportunity to work alongside talented peers who challenge and inspire you. We move fast, take ownership, and always strive to improve, both as individuals and as a team. You will partner with product managers, designers, and machine learning scientists and will be responsible for both building scalable systems and working directly with LLMs. If you’re excited to solve complex problems and shape the future of AI-driven customer support, we’d love to hear from you. Our Role Our team values a high ownership mindset. As a Senior Engineer, your job is not just to write the code, but to give valuable input on the features we develop and the technical foundations of our systems. You must empathize with our direct customers, and end users who will interact with the AI agents we power, to think about the best ways to solve the problems on our roadmap. About You 5+ years of experience as a Software Developer (with a strong preference for Python, JavaScript/TypeScript experience) Are comfortable across platforms with strong web experience and meaningful exposure to mobile ecosystems (e.g., working with native apps, SDKs, or mobile web constraints) Have experience with SDKs (whether building or integrating 3rd-party ones), and can reason about developer ergonomics, API design, and extensibility. Are excited by ambiguity - you’re comfortable shaping the path forward alongside product and design Ability to articulate technical decisions clearly, explaining not just the “what” but the “why” behind architectural choices, trade-offs, and implementation details Proven experience mentoring engineers through code reviews, design discussions, and knowledge-sharing Outcomes Execute on our ambitious product roadmap by creating and implementing technical designs Active participant in levelling-up our current development practices Champion a high-quality bar on our work by reviewing the team’s code, providing insightful feedback, and fostering a collaborative community within the engineering organization Ensure that the team is providing the best AI Agent platform experience by staying close to the customer feedback, internal team pain points and close collaboration with our product and design partners LI-NS1Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking Applied Scientists and Research Engineers focused on multimodal learning (text, image, audio, video) to drive innovative research and collaborate with clients on complex projects.You will design, train, and deploy SOTA multimodal models (e.g., Omni-models, VLMs, Audio, Image generation, Robotics and much more) and apply them to diverse use cases: enterprise search, agents grounded in images and documents, video understanding, and speech interfaces. You’ll work cross‑functionally with internal and external science, engineering, and product teams to deliver high‑impact AI solutions. What you will do • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.• Generate and curate multimodal datasets (web‑scale image‑text, document‑image, audio‑text, video‑text), and build robust evaluators/benchmarks for perception, grounding, OCR, and captioning.• Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.• Collaborate with cross-functional teams to tackle complex use cases using agents and RAG pipelines.• Manage research projects and communications with client research teams. About you • You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.• You’re an expert with PyTorch or JAX.• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.• You have experience in one of the following: VLMs, diffusion for image/video, audio processing (ASR/TTS), image processing, robotics.• You write clean, readable, high-performance, fault-tolerant Python code.• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.• Low-ego, collaborative and eager to learn.• You have a track record of success through personal projects, professional projects or in academia. It would be great if you • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.• Can bring a variety of research experience (agents, multi-modality, robotics, diffusion, time-series).• Have contributed to a large codebase used by many (open source or in the industry).• Have a track record of publications in top academic journals or conferences.• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines. Benefits We have local offices in Paris, London, Marseille, Singapore and Palo Alto. France 💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK 💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

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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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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job Mistral AI is seeking Applied Scientists and Research Engineers to build telemetry-native security agents and specialized foundation models for observability and defense. You’ll create agents that detect, diagnose, and help resolve incidents—grounded in real-world security and SRE workflows—and evaluate them in simulated environments before hardening for production.You’ll work across model research, large-scale training, and productization with a strong emphasis on provenance, auditability, and safety. What you will do • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don’t panic when you see OOM errors or when NCCL feels like not wanting to talk.• Develop and pre-/post-train domain-specialized foundation models for observability, security, site reliability engineering, and code repair• Run large‑scale experiments to balance accuracy, latency, throughput, and power under tight memory constraints; profile and fix bandwidth/compute bottlenecks.• Manage research projects and communications with client research teams. About you • You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.• You have background in adversarial ML, agent/prompt security, watermarking/detectors, differential privacy, or trusted execution (TEE).• You’re not afraid of contributing to a big codebase and can find yourself around independently with little guidance.• You’re expert with PyTorch or JAX; strong C++/CUDA or low‑level performance skills a plus; production‑grade Python.• You don’t need roadmaps: you just do. You don’t need a manager: you just ship.• Low-ego, collaborative and eager to learn.• You have a track record of success through personal projects, professional projects or in academia. It would be great if you • Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you’re an exceptional candidate from a different background, you should apply.• Have contributed to a large codebase used by many (open source or in the industry).• Have a track record of publications in top academic journals or conferences.• Have publications in top ML/security venues and/or contributions to open-source security or observability tools.• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines. Benefits We have local offices in Paris, London, Marseille, Singapore and Palo Alto. France 💰 Competitive cash salary and equity🥕 Food : Daily lunch vouchers🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to a mobility pass🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship UK 💰 Competitive cash salary and equity🚑 Insurance🚴 Transportation: Reimburse office parking charges, or 90GBP/month for public transport🥎 Sport: 90GBP/month reimbursement for gym membership🥕 Meal voucher: £200 monthly allowance for its meals💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)