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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.As a Lead Technical Program Manager at Cerebras, you will be managing the execution of several interdisciplinary teams of highly talented and motivated engineers in a fast-paced environment to solve some of the toughest problems in the rapidly evolving AI space. In this role, you will: Manage technical projects, working closely with key stakeholders in engineering and product management to develop and track release milestones, and builds & schedules, for the many moving parts that need to come together. Partner closely with System Engineering, Software Engineering, Manufacturing, Product management, and IT teams to define, prioritize, implement, and improve product features, datacenter infrastructure, and processes. Drive key aspects of the program through product launch, from planning, execution, and testing. Lead cross-functional projects, and drive and motivate the cross-functional teams to deliver the product(s) per requirements and schedule. Regularly present the project status, challenges, and program risks to the executive team. Develop tools and processes to increase engineering efficiency. Lead sprint planning meetings. Manage communication of status, risks, and blockers within the core team and with senior management. Skills & Qualifications Experience/expertise with design, manufacturing, and deployment of high-performance hardware infrastructure for data centers.  Experience with program managing NPI hardware programs for the full lifecycle. Experience in program management and reporting on government-funded programs. Ability to communicate effectively with technical and non-technical stakeholders at all levels. Ability to multitask and manage multiple projects efficiently. Ability to manage the ambiguity of the projects  Must be responsive, flexible, and able to excel within an open collaborative peer environment.  Good understanding of silicon, software development, system design, and manufacturing process. Good understanding of technical requirements for technology integration. Exposure to machine learning, deep learning, HPC, and associated technologies.   QUALIFICATIONS Bachelor's degree with a technical discipline or equivalent experience. 5+ years of relevant work experience in technical program/project management of cross-functional technical programs. Ability to exercise technical judgement when working with engineers. PREFERRED QUALIFICATIONS Master's degree or advanced technical degree. Experience working on server hardware or machine learning products and services. Experience driving technical program management in a fast-paced, startup environment. Creative leader with superior analytical abilities. Knowledge of the hardware development process and life cycle.  Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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ABOUT POOLSIDEIn this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. poolside exists to be this company - to build a world where AI will be the engine behind economically valuable work and scientific progress.View GDPR PolicyABOUT OUR TEAMWe are a remote-first team that sits across Europe and North America and comes together once a month in-person for 3 days and for longer offsites twice a year.Our R&D and production teams are a combination of more research and more engineering-oriented profiles, however, everyone deeply cares about the quality of the systems we build and has a strong underlying knowledge of software development. We believe that good engineering leads to faster development iterations, which allows us to compound our efforts.ABOUT THE ROLEThe Solutions Architect (Public Sector) role at Poolside is a uniquely hands-on position that blends deep technical execution with high-impact customer engagement.As a Poolside SA, you’ll take end-to-end ownership of how our AI platform is deployed into large enterprise and government environments. You’ll work directly with customers to design, deploy, and support highly secure and performant infrastructure—often tailoring Terraform and Kubernetes configurations to fit mission-specific requirements.Beyond implementation, you’ll also help evolve how Poolside is deployed across air-gapped, hybrid, and cloud environments—shaping our deployment architecture as we scale into new markets.This is not a pre-sales demo role. It’s a hybrid between solution design, DevOps, and deployment engineering—ideal for someone who enjoys building, automating, and troubleshooting real systems in production.YOUR MISSIONEnsure every Poolside customer achieves a fast, reliable, and secure deployment—whether in AWS, private cloud, or fully air-gapped environments—while continuously improving our deployment tooling and processes.RESPONSIBILITIESArchitect & Deploy: Design and customize Poolside deployments across Kubernetes and Terraform-based environments (cloud, hybrid, on-prem).Troubleshoot & Optimize: Diagnose complex infrastructure and networking issues across clusters, storage, and CI/CD pipelines.Automate & Improve: Build automation workflows using Ansible, GitHub Actions, or ArgoCD to streamline provisioning, upgrades, and monitoring.Collaborate & Guide: Work directly with customer DevOps and security teams to ensure compliance, reliability, and observability.Evolve the Platform: Contribute to Poolside’s core deployment framework—improving standardization, resilience, and operator experience.Document & Share: Maintain clear runbooks, deployment guides, and internal documentation for repeatable success.SKILLS & EXPERIENCEStrong hands-on experience with Kubernetes (Helm, operators, manifests, troubleshooting pods, services, ingress, etc.)Proficiency in Terraform for infrastructure provisioning (AWS preferred; Azure or GCP also valuable)Deep understanding of networking, load balancing, DNS, and certificatesComfort with Linux, Docker, Git, and modern DevOps workflowsFamiliarity with monitoring & observability stacks (Grafana, Prometheus, Datadog, etc.)Experience with automation tools such as Ansible, ArgoCD, or GitHub ActionsStrong debugging and process-of-elimination troubleshooting skillsExcellent written and verbal communication—able to bridge engineering detail and customer contextActive TS/SCI Clearance preferredNICE TO HAVEExperience deploying or securing AI/ML systems in productionFamiliarity with RKE2, air-gapped environments, and STIG-hardened operating systemsProgramming knowledge in Python, Go, or BashBackground in government, defense, or regulated industriesWHY THIS ROLE IS DIFFERENTPoolside SAs aren’t just supporting customers—they’re shaping how our platform is delivered to the world’s most demanding environments. You’ll operate at the intersection of infrastructure engineering, product development, and customer impact, helping define what enterprise-grade AI deployment looks like.PROCESSIntro call with José, our Head of Production EngineeringTeam-fit call with Beatriz, our Head of PeopleTechnical Interview(s) with a panel composed by José and other Founding EngineersCustomer discussion with one of our Sales representativesFinal interview with Eiso, our CTO & Co-FounderBENEFITSFully remote work & flexible hours37 days/year of vacation & holidaysHealth insurance allowance for you and dependentsCompany-provided equipmentWellbeing, always-be-learning and home office allowancesFrequent team get togethersGreat diverse & inclusive people-first culture

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The Country Manager, Norway will be heading Shield AI´s operational execution and growth in Norway. This person will lead and manage an in-country team, with a demanding job, and a very high level of responsibility and accountability to perform and deliver results but will undoubtedly have the opportunity to make an outsized impact and become a major contributor to the company.    He/she will be responsible for building and strengthening Shield AI’s military and political influence including setting and execution of defined capture strategies.    Lead cross-functional integration, serving as the unifying figure across Shield AI´s Business Development, Government Relations, Program Management, Legal, Contracts, and Customer Operations—ensuring seamless coordination.  What You'll Do Build and strengthen Shield AI’s military and political influence in country through sustained engagement with key political and government stakeholders, and industry partners.  Ensure operational execution, offset obligations, oversee delivery of current contracts and accountability for key performance metrics, team outputs, and customer satisfaction.  Partner with legal for regulatory and export requirements. Embody and lead with Shield AI’s mission, values, and leadership principles.Set and execute the capture strategy for the country, ensuring long-term growth across sales, partnerships, and influence operations.  Lead cross-functional integration, serving as the unifying figure across Business Development, Government Relations, Program Management, Legal, Contracts, and Customer Operations—ensuring seamless coordination. Engage with customers regularly to present and discuss Shield AI product portfolio Attend trade shows, exhibitions, or other industry events to espouse Shield AI products Devise and coordinate marketing and government relations opportunities Build and devise the structure of industry partnerships Plan and execute product demonstrations Lead proposal response Develop offset strategies  Required Qualifications Proven leadership and/or operational experience within the defense segment Specific strategy or business development experience in Europe (focus BENELUX) Prior UAV or AI business development experience in a defense-related context Demonstrated understanding of specific Army/Navy/etc. operational scenarios and systems Strong research and analysis skills Relevant BENELUX Language Skills (e.g., Dutch, French languages) 

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About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Who We're Looking For As a Senior Data Scientist in Delivery, you are an experienced problem solver and technical leader who is passionate about building practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embeds cutting edge AI models into tools that are useful and used. You've consistently tackled difficult problems that require strong foundations in data driven modelling and deep learning techniques, with extensive hands-on experience in probabilistic methods and predictive modelling. Your expertise in python, along with advanced proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with proven ability to architect and deploy scalable, production-ready models and data pipelines. With 3-5 years of industry experience (post Masters of PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about growing both your technical expertise and leadership skills, naturally taking ownership of complex data science work streams and guiding teams to success. You continuously improve the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.   This Role In this senior role, you'll work closely with our Simulation Engineers, Machine Learning Engineers, and customers to understand and define the engineering and physics challenges we are solving, while providing technical leadership to your team. You'll build the foundations for successful, impactful solutions by: Leading pre-processing and analysis of complex data to prepare it for use in predictive modelling, establishing best practices and methodologies for your team. Architecting and developing innovative deep learning models in combination with state-of-the-art optimisation methods to predict and control the behaviour of physical systems. Taking full responsibility for the quality, accuracy and impact of your work and the work of your team. Designing, building, and testing data pipelines that are reliable, scalable, and robustlyeasily deployable in production environments. Leading cross-functional collaboration with simulation engineers to ensure seamless integration of data science models with simulations. Driving internal R&D and product development, helping to refine models and identify new areas of application. Mentoring junior team members and providing technical guidance to help them grow. Leading open communication and presentations with both technical teams and customers, helping onboard users and co-develop with customers. Representing PhysicsX as a technical authority when traveling to customer sites in North America, Europe, Asia, Oceania, an average of 2-3 weeks per quarter, where you'll collaborate closely with customers to build solutions on site. As a senior member of the team, you'll have significant influence on our technical direction and the opportunity to shape future solutions and products, while developing your skills as a technical leader. Please note, this role is based in London, UK, working 2-3 days per week in our office. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! What we offer  Equity options – share in our success and growth. 10% employer pension contribution – invest in your future. Free office lunches – great food to fuel your workdays. Flexible working – balance your work and life in a way that works for you. Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave – support for life’s biggest milestones. Private healthcare – comprehensive coverage Personal development – access learning and training to help you grow. Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.   

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Job Description:We’re looking for a Software Engineer to join our team developing next-generation Ground Control Station (GCS) applications for unmanned aerial systems (UAS). This role is ideal for engineers with a strong foundation in real-time, performance-sensitive software who also bring experience with modern web technologies.  You’ll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability.  What you'll do: Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms. Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control. Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state. Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions. Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance. Lead development efforts on key features or subsystems, from early design through deployment and iteration. Write high-quality, well-tested code and participate in peer design/code reviews.  Required qualifications:Bachelor’s degree with 4+ years of relevant experience, or Masters with 3+ years, or PhD with 1+ year. Demonstrated experience building real-time or performance-sensitive applications—preferably for UAVs, robotics, autonomous vehicles, or simulation environments. Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration. Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js. Strong software engineering fundamentals including version control, testing, debugging, and performance profiling. Proven ability to deliver high-quality software as part of a collaborative engineering team.  Preferred qualifications:Experience with GCS software, mission planning tools, or real-time visualization platforms. Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats. Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink. Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices. Exposure to distributed systems and cloud integration for telemetry data pipelines. Understanding of security best practices in control systems and networked applications. 

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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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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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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for an Helix AI Intern, Speech for Winter 2026 to contribute to the design and optimization of the real-time speech pipeline that powers natural voice interaction with our humanoid robot. This role offers hands-on experience at the intersection of audio systems, AI, and robotics—working on challenges such as low-latency audio streaming, speech enhancement, and real-time speech understanding. This internship is designed for students in their final year of an undergraduate or master’s program, as well as recent graduates who are on track to complete their degree by the end of 2026, or the following year. Responsibilities: Support the development and testing of real-time audio and speech streaming pipelines Contribute to the integration of low-latency, full-duplex audio systems using WebRTC or similar frameworks Assist in evaluating or deploying AI-based components that improve speech quality, intelligibility, or responsiveness Collaborate with AI, audio, and robotics engineers to enhance the reliability and performance of speech systems Help build tools for monitoring, debugging, and visualizing live audio and speech pipeline performance Requirements: Undergraduate student (Senior) or recent graduate in Computer Science, Electrical Engineering, or a related field Minimum 10 weeks internship, 1 to 2 terms preferred Strong programming skills in Python or C++ Familiarity with real-time communication frameworks (WebRTC, gRPC, or WebSockets) Understanding of digital audio fundamentals (sampling, latency, buffering, SNR, AEC) Basic knowledge of machine learning concepts and experience deploying or using pre-trained models Strong verbal and written communication skills Bonus Qualifications: Experience with audio ML frameworks (PyTorch, torchaudio, ONNX Runtime) Familiarity with speech enhancement or ASR/TTS systems Knowledge of asynchronous or multithreaded programming (asyncio, coroutines, or similar) Exposure to cloud or edge-based audio processing systems Interest in humanoid robots and real-time human–robot communication The US hourly range for this internship position is between $40 - $50 per hour.  The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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About the job Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video . Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 . In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: This role sits within our Video Platform team building out and maintaining critical infrastructure powering Synthesia's video generation capabilities. You will focus on improving the resilience and scalability of our video generation pipeline. You will build comprehensive monitoring and debugging tools for the video pipeline. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time. What we're looking for: At least seven (7) years of experience as a software engineer, at least 2 on the lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organisation recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on server side and all things back end related. BE only experience is OK if you are happy to occasionally help out with FE. We used Python on our Backend and React on our Frontend Strong AWS experience. Platform engineering experience with a proven track record of building internal platforms used by multiple teams. Strong alignment with commercial success. Previous leadership experience of smaller teams. Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2 . Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security . The hiring process: 30-40min call with our Technical Recruiter 45min call with an Engineering Manager about your past projects 90min Live Coding interview, a collaboration exercise with our Engineer (not Leetcode style) 60min System Design, technical discussion usually about a real problem we had in production 45min call with leadership, focus on examples of collaboration, growth and going through details of your future team You can find more details on what to expect and how to prepare HERE . The process does not need to take long - we can be done in seven working days. Other important info: This is a remote role from an EU country, UK or Switzerland. The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking a highly skilled, experienced and hands-on Anti Fraud & Abuse Engineer to join our dynamic security team, revolutionizing the way people search and interact with the internet. You will be responsible for designing, implementing, and operating cutting-edge monitoring and detection systems to identify and prevent fraudulent behaviors and abuse of our products and services. Responsibilities Design, build, and operate monitoring and detection systems to identify and prevent fraudulent behaviors and abuse Perform adversary hunting to detect abuse and misuse of our products and services Analyze how our products and services are being misused or abused Track and mitigate cost impacts of fraud and abuse across our technology stack Research and anticipate emerging abuse techniques to stay ahead of evolving threats Build and maintain relationships with external threat intelligence partners and industry communities Establish best practices, tools, and processes for our fraud and abuse detection program Qualifications Experience designing, implementing, and operating fraud detection, abuse prevention, or security monitoring systems Background in security, adversarial machine learning, threat intelligence, or fraud investigations Strong data analysis skills, able to identify patterns and anomalies within large datasets Understanding of both technical and behavioral signals to support effective fraud prevention strategies Excellent communication skills, able to present to both technical and non-technical audiences  

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About KodiflyKodifly is transforming infrastructure monitoring through AI-driven spatial intelligence. Based in Hong Kong Science Park and expanding to Islamabad, Pakistan, we are backed by HKAI Lab and the NVIDIA Inception Program. Our flagship platform, SpatialSense, integrates LiDAR, point cloud processing, and digital twins to deliver real-time insights for safer, smarter, and more efficient infrastructure systems. Role OverviewWe’re looking for a Technical Project Manager (TPM) with a strong software development background to lead agile teams and drive technical delivery. You’ll work closely with developers and stakeholders to manage sprint execution, validate system architecture & design, and deliver impactful solutions on time.Key ResponsibilitiesCollaborate with development teams to analyze technical requirements, identify challenges, and create solutions.Design and review system architectures, ensuring robust integration between edge devices, cloud services, and AI/ML pipelinesPlan, track, and deliver project scope, timeline, and milestones.Facilitate Scrum ceremonies (sprint planning, stand-ups, reviews, retrospectives).Maintain technical documentation, user stories, and release notes.Prepare BRDs, BBP, SRS, As-Is, To-Be, UAM etc. documents whilst overseeing execution of MDM, UAT, SIT, SAT etcCollaborate with engineers and DevOps teams on deployment strategies, CI/CD pipelines, and system reliabilityLead and manage agile software projects using the Scrum framework..Use Agile metrics to monitor progress and communicate updates to stakeholders.Mentor and coach team members on Agile methodologies, software architecture principles, and engineering best practicesRequirementsBachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. PMP certification or MBA in Project Management is an added advantage.Strong understanding of system design and distributed architectures, especially edge + cloud integration for AI/ML workflowsA strong leadership mindset - a forward-thinking approach focused on empowering the team, proactively solving problems, and fostering a positive environment to achieve project goals.1-2 years of experience in Software development (backend, frontend or fullstack) .1-2 years of experience in Technical Project ManagementHands-on experience with programming in Python, JavaScript (Node.js/React), or C++.Certified Scrum Master (CSM) or equivalent certification preferred.Familiarity with DevOps practices, containerization (Docker/Kubernetes), CI/CD pipelines, and version control (Git)Strong understanding of Agile principles and the software development lifecycle.Excellent communication, analytical, and problem-solving skills.Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities.We Offer:Opportunity to work with state-of-the-art AI, LiDAR, and 3D spatial technologiesExposure to cutting-edge system architecture and cloud-edge deployment projectsA collaborative environment where innovation is encouraged and rewarded.Competitive salary and share options with accelerated increments for high-performing employees.Professional and personal growth opportunities and a chance to make a significant impact in infrastructure safety and efficiency.

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Location: London (100% In-Office) Experience: Entry, Intermediate Salary: £67k - £96K • Offers Equity Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. About the RoleWe're seeking an Agent Engineer to join our San Francisco team. You'll serve as a technical interface between Giga and our customers, building and deploying sophisticated solutions with our low-code platform. What You’ll Do:Assisting customer engagements from start to end: run discovery calls & demos, build/maintain world class agents, participate in customer calls, and serve as the primary PoC in a fast-paced environment.Own the full agent development life cycle: build and prototype quickly, set up CI/CD, monitor live usage, iterate to targets, debug live issues, communicate with customers, and document best practices to speed up future projects.Close the feedback loop with product & platform: capture unmet needs, prototype new features, contribute directly to the codebase, and collaborate with core teams to strengthen the platform for all customers. Who You Are / Must-Haves:Know the basics: Understanding of React, Python, tool calls, APIs, etc.Interpersonal Acumen: Able to solve problems in a people-centric manner and communicate effectively, with experience/interest in customer-facing roles.Entrepreneurial: Preference for candidates with aspirations who want to be founders or leaders; ability to context switch constantly and rapidly; high bar for quality work.Gritty: Capable of working long productive hours, customer focused, very high attention to detail, and obsession to deliver high-quality work.Coachable: Be able to take in feedback and adapt at a quick pace.Experienced: 1-3 years of experience; computer science, analytics, or consultant background strongly preferred. Perks & BenefitsCompetitive total compensationEquinox membershipFull health, dental, and vision coverageOn-demand snacks, coffee, and DoorDash CreditsUbers covered homeInterview ProcessScreening call w/ recruiting lead (20 min)Technical interview (30-min)Intro call w/ Agent Engineering lead (15 min)In-office interview (full day)

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Location: New York (100% In-Office) Experience: Entry, Intermediate Salary: $90K - $130K • Offers Equity Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. About the RoleWe're seeking an Agent Engineer to join our San Francisco team. You'll serve as a technical interface between Giga and our customers, building and deploying sophisticated solutions with our low-code platform. What You’ll Do:Assisting customer engagements from start to end: run discovery calls & demos, build/maintain world class agents, participate in customer calls, and serve as the primary PoC in a fast-paced environment.Own the full agent development life cycle: build and prototype quickly, set up CI/CD, monitor live usage, iterate to targets, debug live issues, communicate with customers, and document best practices to speed up future projects.Close the feedback loop with product & platform: capture unmet needs, prototype new features, contribute directly to the codebase, and collaborate with core teams to strengthen the platform for all customers. Who You Are / Must-Haves:Know the basics: Understanding of React, Python, tool calls, APIs, etc.Interpersonal Acumen: Able to solve problems in a people-centric manner and communicate effectively, with experience/interest in customer-facing roles.Entrepreneurial: Preference for candidates with aspirations who want to be founders or leaders; ability to context switch constantly and rapidly; high bar for quality work.Gritty: Capable of working long productive hours, customer focused, very high attention to detail, and obsession to deliver high-quality work.Coachable: Be able to take in feedback and adapt at a quick pace.Experienced: 1-3 years of experience; computer science, analytics, or consultant background strongly preferred. Perks & BenefitsCompetitive total compensationEquinox membershipFull health, dental, and vision coverageOn-demand snacks, coffee, and DoorDash CreditsUbers covered homeInterview ProcessScreening call w/ recruiting lead (20 min)Technical interview (30-min)Intro call w/ Agent Engineering lead (15 min)In-office interview (full day)

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The Role We’re looking for a growth-obsessed GEO Strategy Lead who can help marketing organizations navigate the shift from traditional SEO to modern AEO/GEO (Answer Engine Optimization / Generative Engine Optimization). This role is built for someone who combines growth strategy, SEO expertise, and content architecture experience and knows how to design and operationalize programs that drive measurable outcomes, not just ship content.You’ll guide marketers through this transformation by auditing their current state, identifying high-impact growth opportunities, running outcome-driven strategy workshops, and partnering with technical architects to deploy scalable, AI-powered workflows. This is a hands-on, client-facing role with high accountability for visibility, pipeline contribution, and business impact.This fully remote role reports to the Chief Customer Officer and is open to candidates located anywhere in the continental US.What you will do at Jasper Help marketing teams evolve from traditional SEO to AEO/GEO, expanding visibility across search, answer, and generative platforms.Conduct comprehensive audits of content, visibility, and entity architecture to identify growth levers and readiness for emerging search surfaces.Prioritize opportunities based on impact to organic reach, conversions, and pipeline generation.Lead workshops with stakeholders to define measurable growth outcomes and visibility goals.Architect integrated content and entity strategies that strengthen brand authority and align with marketing objectives.Collaborate with Technical Architects to operationalize strategies through AI-driven workflows, structured content models, and scalable systems.Translate strategies into actionable roadmaps, KPIs, and guardrails that ensure execution delivers measurable performance.Own and optimize measurement frameworks for visibility, engagement, and conversion across SERPs, answer engines, and generative results.Integrate AEO/GEO into broader growth programs, designing structured journeys, CTAs, and distribution models to maximize lead generation and revenue.Guide customers in scaling programs across new channels and formats aligned to evolving search behavior.Act as a trusted advisor for marketing leaders navigating the search and content transformation.Contribute to AEO/GEO frameworks, delivery playbooks, and best practices.Stay ahead of algorithm, SERP, and platform shifts to guide customer strategy proactively.What you will bring to Jasper 5+ years in SEO or content strategy with proven impact on visibility and pipeline outcomes.Deep experience building growth-oriented content strategies that deliver measurable business impact.Strong ability to guide marketers through strategic transitions, from SEO to AEO/GEO.Expertise in auditing, strategy design, and operationalizing content programs at scale.Proficiency with analytics and SEO platforms (Google Analytics, GSC, Ahrefs, SEMrush, HubSpot, Salesforce).Familiarity with structured data, schema, entity optimization, and emerging AEO/GEO practices.Strong executive communication and workshop facilitation skills.Compensation RangeAt Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range for this role is $135,000 - $165,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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About the RoleWe’re looking for a sharp, experienced Lead Spreadsheet Quality Analyst to oversee the accuracy and consistency of our spreadsheet evaluation data for AI training.You’ll act as the quality gatekeeper for Excel-based annotation tasks, reviewing the work of Level 1 annotators, providing feedback, and maintaining strict programmatic verification (PV) standards that ensure our models learn from clean, unambiguous data.This role blends technical precision with people leadership. You’ll mentor reviewers, refine QC processes, and audit datasets that shape how AI agents reason through complex spreadsheet tasks.Note: This is a contract role with hours aligning to 10am-5pm PST.ResponsibilitiesReview, approve, or reject annotated spreadsheet tasks for programmatic verification (PV) complianceProvide detailed, actionable feedback to Level 1 annotators and help them improve their accuracy and speedDefine, refine, and document quality control guidelines and edge-case examplesAudit datasets for internal consistency and escalate structural or tooling issues to the product and research teamsMaintain weekly throughput and quality targets while ensuring annotation teams meet benchmark standardsQualifications3+ years in QA, data operations, analytics, or data labelingExpert Excel user with formula auditing and debugging experienceFamiliar with quality frameworks or annotation pipelinesComfortable writing clear feedback and coaching othersBonusFamiliarity with evaluation datasets or ML training dataExperience working in a startup environmentThe DetailsLocation: Remote!Compensation: $50 per hour + bonuses based on high quality task completion. Total expected compensation of $75 per hourHours: 10am-5pm PST. Additional hours may be requested if neededWhat makes us interestingSmall, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companiesTrue ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than monthsSerious momentum We're well-funded by top investors, moving fast, and focused on executionWhat we doShip consumer products powered by cutting-edge AI research, andBuild infrastructure that facilitates research and product, andInnovate cutting-edge research that will open up new consumer product forms

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About Celestial AI As Generative AI continues to advance, the performance drivers for data center infrastructure are shifting from systems-on-chip (SOCs) to systems of chips. In the era of Accelerated Computing, data center bottlenecks are no longer limited to compute performance, but rather the system’s interconnect bandwidth, memory bandwidth, and memory capacity. Celestial AI’s Photonic Fabric™ is the next-generation interconnect technology that delivers a tenfold increase in performance and energy efficiency compared to competing solutions. The Photonic Fabric™ is available to our customers in multiple technology offerings, including optical interface chiplets, optical interposers, and Optical Multi-chip Interconnect Bridges (OMIB). This allows customers to easily incorporate high bandwidth, low power, and low latency optical interfaces into their AI accelerators and GPUs. The technology is fully compatible with both protocol and physical layers, including standard 2.5D packaging processes. This seamless integration enables XPUs to utilize optical interconnects for both compute-to-compute and compute-to-memory fabrics, achieving bandwidths in the tens of terabits per second with nanosecond latencies. This innovation empowers hyperscalers to enhance the efficiency and cost-effectiveness of AI processing by optimizing the XPUs required for training and inference, while significantly reducing the TCO2 impact. To bolster customer collaborations, Celestial AI is developing a Photonic Fabric ecosystem consisting of tier-1 partnerships that include custom silicon/ASIC design, system integrators, HBM memory, assembly, and packaging suppliers.ABOUT THE ROLE We are seeking an Optical Test Engineer, based in our Singapore office, to operate and maintain wafer-scale probe stations for silicon photonics testing. In this role, you will execute and refine optical and opto-electronic test procedures, ensure reliable data collection across passive and active components, and work closely with the engineering team in the US to support development and production testing. This position is ideal for an engineer who excels in precision measurement, data analysis, and continuous improvement of test systems. ESSENTIAL DUTIES AND RESPONSIBILITIES Own the operation and maintenance of wafer-scale probe stations for Silicon Photonics testing. Develop and execute test recipes for various passive and active optical/opto-electronic components for library development and production sort. Work with prober vendor to implement new test functionality as needed, including incorporation of new test equipment into prober. Create and execute a maintenance and continuous improvement plan for the test stations to improve test capabilities and gauge. Help setup data infrastructure to handle data outputs from prober. QUALIFICATIONS Specialized skills Good understanding of integrated optics testing requirements and methods. Experience with setting up optical measurements, including familiarity with standard test equipment/components (tunable lasers, PWMs, OSAs, fiber arrays). Direct experience with commercial probe stations is a huge plus. Experience with high-speed test setups to measure opto-electronic S-parameters Ability to collect and analyze complex datasets (i.e. experience with JMP, DataConductor or similar data analysis tools) Experience with automated instrument/machine control using Python/Matlab/LabView/C# Education requirements Minimum BS in engineering or physics. Masters preferred. Experience requirements Minimum 5 years of relevant experience Attributes Self-starter Thrives in a highly collaborative and dynamic work environment Has excellent oral and written communication skills Creativity in problem-solving with strong attention to detail   LOCATION: Singapore* *This role will be based in our Singapore office, offering an exciting opportunity to work in one of Asia’s most dynamic business hubs.   We offer great benefits (health, vision, dental and life insurance), collaborative and continuous learning work environment, where you will get a chance to work with smart and dedicated people engaged in developing the next generation architecture for high performance computing. Celestial AI Inc. is proud to be an equal opportunity workplace and is an affirmative action employer.   #LI-Onsite

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About DustWe're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their jobs.With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.We are at an exciting stage of our journey. We‘ve raised our Series A, expanded in the US, and hit the $1m and $2m ARR milestones in 2024; we aim to x5 our growth by the end of 2025.Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe or OpenAI) that like to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.The roleWe're hiring our first GTM Engineer to build automated outbound prospection systems from the ground up. This role sits at the intersection of engineering and revenue generation—you'll combine technical creativity with commercial impact to define what GTM engineering looks like at an AI-first company.You'll work directly with RevOps and Sales to build the automated workflows, integrations, and AI-powered systems that fill our pipeline for both EU and US markets. And yes, you'll be using Dust to build Dust's GTM engine.This is a unique opportunity to shape an emerging discipline at a company that's defining the future of work.What you'll doBuild automated prospection systems for French and US markets using our GTM stack (Dust, CommonRoom, Clay, Lemlist, HubSpot). Design end-to-end workflows that identify high-intent prospects, enrich data, generate personalized outreach, and route qualified leads to BDRs.Enable Sales and BDR teams to multiply their impact by automating repetitive tasks, developing playbooks, and training teams on automation. Let them focus on high-value conversations while reaching 10x more prospects.Drive measurable pipeline generation with a clear target by owning outbound campaigns end-to-end, tracking key metrics, and continuously optimizing based on performance data.Run rapid experiments to discover what works by designing A/B tests for messaging and targeting, implementing new approaches quickly, measuring results rigorously, and scaling successful experiments into repeatable playbooks.Define what world-class GTM engineering looks like as this discipline evolves.Who you are2-5 years of experience in an Operations or Engineering roleTechnical fluency: Comfortable with multiple Saas tools, APIs & webhooks, automation platforms, and basic scriptingAI at core: Excited to be at the forefront of how AI is transforming GTM strategiesBusiness oriented: You understand sales processes, lead qualification, and want to attach your work with tangible commercial outcomes. You have a Growth mindset.Data-driven: You measure everything and optimize based on what the numbers tell youScrappy & resourceful: You find creative solutions and aren't afraid to experimentNice to have:Familiarity with tools in our GTM stack (Dust, Clay, CommonRoom, Lemlist, Default, HubSpot)Background in early-stage startups or high-growth environmentsProgramming experience (Python, JavaScript)LocationWe're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, valuing the magic that happens when talented people work closely together.Why DustWe're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better) – the key is building the infrastructure so that they have context and explore the best interfaces for humans to interact with them.We have the unique opportunity to explore and shape the way humans interact with machines while working on a product we use ourselves every day.If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk.👋 Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.___Learn how we think and work.Our product constitution a story about our missionAgents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024

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About the RoleWe’re looking for detail-oriented Spreadsheet Quality Analysts to help build high-quality evaluation data for next-generation spreadsheet AI agents. This position is ideal for someone who has strong Excel skills, loves structured work, and takes pride in precision. You’ll be part of a small, fast-moving team helping define how AI learns to reason through real-world spreadsheet problems.Note: This is a contract role with hours aligning to 10am-5pm PST.ResponsibilitiesReview and validate spreadsheet tasks for clarity, determinism, and correctnessModify input spreadsheets and task statements to enforce consistent outcomesApply a structured 5-step validation process (clarity, function screening, answer validation, correctness, annotation)Annotate reasoning for edits and flag low-quality or ambiguous tasksMeet weekly quality benchmarks and iterate based on reviewer feedbackQualificationsStrong Excel proficiency (INDEX/MATCH, IF, SUMIF, VLOOKUP, etc)Excellent written communication and precisionExperience with structured data tasks or QA/checklist workflowsDetail-oriented, consistent output under quality guidelines BonusPrior data annotation experience (Scale AI, Surge AI, Toloka, etc.)Experience working in a startup environmentThe DetailsLocation: Remote!Compensation: $15-20 per hour + bonuses based on high quality task completion. Total expected compensation of $25-30 per hourHours: 10am-5pm PST. Additional hours may be requested if neededWhat makes us interestingSmall, elite team of ex-founders, researchers from top AI Labs, top CS grads, and engineers from top companiesTrue ownership You will not be blocked by bureaucracy, shipping meaningful work within weeks rather than monthsSerious momentum We're well-funded by top investors, moving fast, and focused on executionWhat we doShip consumer products powered by cutting-edge AI research, andBuild infrastructure that facilitates research and product, andInnovate cutting-edge research that will open up new consumer product forms

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs.We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.As a hybrid company, we require minimum 25Mbps consumer grade broadband connection.What You’ll DoHorizon3AI is committed to defending businesses from the ever-growing threat landscape. Our advanced solutions and expert team provide unparalleled security for our clients. We are looking for a passionate Sales Engineer/Solutions Architect based in Amsterdam to join our team and help prospects and clients understand the true value and capabilities of our product(s) and services.Technical expertise - Must demonstrate deep knowledge of our cybersecurity products and services, assisting the sales team in presenting and position them to prospects and clients.Customer engagement - Must meet with potential customers to understand their cybersecurity needs, challenges, and infrastructure, ensuring that our solutions are the perfect fit for them.Product demonstrations - Provide live demos and proof of concepts for our cybersecurity solutions, tailoring each demo to the specific needs and concerns of the potential customer.Solution development - Will work closely with the sales and product teams to design and refine our solutions based on customer needs.Technical training - train the sales team on the technical aspects of our products to enhance their ability to sell more effectively.Feedback loop - relay feedback from the field to our product and engineering teams, contributing to the ongoing improvement of our product.RFP/RFI assistance - Assist in answering technical sections of RFPs and RFIs.Post-sales support - On rare occasions, assist in post-sales processes to ensure the smooth implementation and satisfaction of our customers.What You’ll BringBachelor’s degree in computer science, IT, cybersecurity, or a related field.Location: Amsterdam (Hybrid, 3 days per week based at our Amsterdam city centre sales hub). 5+ years of experience as a Pre-Sales Engineer/Solutions Architect, ideally in the cybersecurity domain.Strong understanding of cyber threats, risk management, and cybersecurity solutions.Excellent verbal and written communication skills.Demonstrates ability to simplify complex technical topics for a non-technical audience.Highly collaborative with a strong sense of initiative.Language Skills: Fluency in the English language.Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Hybrid Work: We are a hybrid company. Enjoy the convenience and work-life balance that comes with hybrid working, 3 days per week based in our office. Competitive Compensation: We offer competitive salary and benefits which includes health, vision & dental care for you and your family, a flexible vacation policy, and generous parental leave. Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, hair length or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Application NoteIn any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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About DustWe're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their jobs.With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.We are at an exciting stage of our journey. We‘ve raised our Series A, expanded in the US, and hit the $1m and $2m ARR milestones in 2024; we aim to x5 our growth by the end of 2025.Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe or OpenAI) that like to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.What you’ll doWrite editorial and SEO content across our blog, LinkedIn, and email, driving a consistent publishing cadence that speaks to technical and enterprise buyers.Interview customers and write case studies that show how teams use Dust to ship faster, scale smarter, and replace clunky internal tools.Write clear, opinionated content on AI agents, positioning Dust as the most approachable AI platform for getting real work done.Lead SEO and AEO strategy: define topics, keywords, and angles that perform across both search engines and AI assistants. Make sure that when someone asks ChatGPT, Claude, or Perplexity about agents, Dust is part of the answer.Build and maintain a system for organic growth through content, covering technical SEO, optimization, and AI search results.Manage freelance writers and partners to scale output while maintaining depth and accuracy.Track and report content performance, rankings, and visibility across both traditional search and AI discovery results.What we’re looking for3+ years of content writing experience, ideally at an AI, DevTool, or B2B startup (Seed to Series B) known for strong content execution.Proven ability to grow traffic and brand visibility through SEO and AEO-driven content.Strong understanding of how modern discovery works, search, chat, and AI-generated answers, and how to write content that gets cited and surfaced by them.Excellent research and writing skills with the ability to turn technical concepts into practical, engaging stories.Salary $90k - $150kEquity CompetitiveVisa sponsorship not availableOn-site work policy In-person 5 days per week in SF, NYC, or ParisFull-time positionLocation San Francisco, CA, NYC, ParisLocationWe're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, valuing the magic that happens when talented people work closely together.Why DustWe're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better) – the key is building the infrastructure so that they have context and explore the best interfaces for humans to interact with them.We have the unique opportunity to explore and shape the way humans interact with machines while working on a product we use ourselves every day.If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk.👋 Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.___Learn how we think and work.Our product constitution a story about our missionAgents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024