Find AI Work That Works for You

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  Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role The Lead / Team Leader Manufacturing Engineer is a seasoned professional providing technical leadership and strategic direction to a team of manufacturing engineers, with a specialised focus on the production of complex mechatronic systems. This pivotal role is responsible for orchestrating the definition, planning, and realisation of manufacturing processes for integrated mechanical, electrical, and software components. The Team Leader guides the team in ensuring robust Design for Manufacturability (DFM), Design for Assembly (DFA), and Design for Testability (DFT) from the earliest product development stages for products like robotics, automated machinery, or smart devices. This includes meticulously planning and optimising assembly, integration, and testing processes, defining optimal cycle times, proactively identifying and mitigating potential bottlenecks, and overseeing the successful implementation and ramp-up of new production lines and technologies. This leadership position is crucial in transforming innovative mechatronic designs into high-quality, cost-effective, and scalable products, all while fostering a culture of technical excellence and continuous improvement within the team. The day-to-day  Technical Leadership & Mentorship: Provide expert technical leadership, guidance, and mentorship to a team of Manufacturing Engineers, fostering their continuous learning, technical growth, and professional development in the context of mechatronic system production. • Strategic Process Planning & Oversight for Mechatronics: Lead the strategic planning, definition, and realization of complex new manufacturing, assembly, integration, and testing processes specifically for mechatronic systems for New Product Introductions (NPI) or significant design changes. Oversee the entire lifecycle from concept to full-scale production. • DFM/DFA/DFT Authority & Collaboration: Act as the ultimate technical authority and primary interface for Design for Manufacturability (DFM), Design for Assembly (DFA), and critically, Design for Testability (DFT) for integrated mechatronic products. Lead the collaboration with mechanical, electrical, and software design engineering teams to proactively influence product designs for optimal production efficiency, ease of integration, comprehensive test coverage, cost-effectiveness, and reliability. • Capacity & Throughput Optimization: Guide the team in conducting detailed analysis and planning for manufacturing capacities, defining optimal cycle times (Taktzeiten) for complex mechatronic assembly and test sequences, performing line balancing, and leading efforts to achieve target throughput and overall equipment effectiveness (OEE). • Bottleneck Management & Risk Mitigation for Integrated Systems: Proactively identify potential bottlenecks, inefficiencies, and risks in planned manufacturing, assembly, and testing processes specific to mechatronic systems. Direct the team in developing and implementing alternative solutions, process improvements, or equipment strategies to prevent and resolve production constraints, particularly those arising from component integration. • Tooling, Equipment & Automation Strategy: Develop and oversee the strategy for the specification, design, procurement, and qualification of new manufacturing tools, assembly fixtures, specialized test equipment, and advanced automation solutions tailored for mechatronic product lines. • New Product Introduction (NPI) Leadership: Own the manufacturing plan for NPIs involving mechatronic systems, overseeing the setup and validation of new assembly and test lines, managing pilot runs, and supporting the successful ramp-up to full-scale production, ensuring process stability, yield targets, and budget adherence for complex integrated products. • Process Validation & Control Excellence: Ensure the establishment and rigorous implementation of robust process control plans and lead thorough validation activities (e.g., IQ/OQ/PQ) and statistical process capability studies (CpK, PpK) for all new and modified processes, especially concerning the integration and performance of mechatronic modules. • Continuous Improvement & Lean/Six Sigma Champion: Champion the application of Lean Manufacturing principles (e.g., Value Stream Mapping, SMED, Poka-Yoke) and Six Sigma methodologies across all team activities, driving significant continuous improvement initiatives, waste reduction, and efficiency gains in the assembly and test of mechatronic products. • Project & Resource Management: Manage project scope, budgets, resources, milestones, and timelines for complex manufacturing engineering projects related to mechatronic systems, ensuring successful delivery against agreed objectives and key performance indicators. • Team Development & Recruiting: Participate in recruiting activities, candidate evaluation, and drive team development and growth initiatives, including performance reviews and goal setting. You should apply if you • Bachelor's degree in Manufacturing Engineering, Mechatronic Engineering, Robotics, Electrical Engineering, Mechanical Engineering with a strong mechatronics focus, or a closely related technical field from an accredited institution. A Master's degree or specific certifications (e.g., Six Sigma Black Belt, PMP) are often advantageous. • Minimum of 5+ years of progressive experience in manufacturing engineering, with a significant portion dedicated to the assembly, integration, and testing of complex mechatronic systems (e.g., robotics, industrial automation, medical devices, consumer electronics with integrated functions). At least 1-3 years in a leadership, senior, or mentorship capacity. • Proven experience leading, guiding, and mentoring a team of engineers and support personnel, with strong interpersonal and leadership skills, and the ability to lead by influence. • Expert-level understanding and practical experience with Design for Manufacturability (DFM), Design for Assembly (DFA), and Design for Testability (DFT) principles for integrated mechanical, electrical, and software components, with a demonstrated ability to strategically influence product design for optimal production. • Profound expertise in strategic process planning, capacity modeling, cycle time analysis (Taktzeitplanung), line balancing, and advanced bottleneck identification and resolution within complex mechatronic assembly and test environments. • In-depth knowledge of various manufacturing processes, including but not limited to precision assembly, complex wiring/cabling, sensor integration, motor/actuator assembly, automated testing, and software flashing/configuration. • Proficiency with CAD software (e.g., SolidWorks, NX, CATIA) for mechanical design, and familiarity with ECAD tools (e.g., Altium, Eagle) for electrical schematics. Experience with process simulation tools is a plus. • Strong understanding of materials science relevant to mechanical and electrical components in mechatronic systems. • Proven expertise in applying Lean Manufacturing principles and Six Sigma methodologies (Green Belt or Black Belt certification highly desirable). • Strong project management skills, including the ability to manage multiple complex projects simultaneously, prioritise tasks effectively, and meet deadlines in a dynamic environment. • Strong verbal and written communication skills, with the ability to present complex technical data, influence stakeholders at all levels, and collaborate effectively with internal and external partners (R&D, Quality, Supply Chain, Production, Software Engineering). • Experience with New Product Introduction (NPI) processes and product lifecycle management for mechatronic systems at a strategic level. • Familiarity with Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP) systems, and advanced factory automation technologies (e.g., robotics programming, PLC knowledge). Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.    Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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  Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role The Lead / Team Leader Manufacturing Engineer is a seasoned professional responsible for providing technical leadership and strategic direction to a team of productionengineers focusing on mechatronic systems, assemblies and components. This role involves overseeing complex projects, driving significant process improvements, and mentoring junior engineers, all while ensuring that manufacturing operations meet stringent quality, cost, and schedule requirements for advanced aerospace and defence products. The day-to-day • Provide technical leadership, guidance, and mentorship to a team of Manufacturing/mechatronic engineers, fostering a culture of continuous learning and technical growth. • Lead and coordinate complex mechatronic system integration and assembly projects from concept to production, ensuring alignment with business and engineering objectives. • Drive continuous improvement initiatives and lead loss reduction exercises, leveraging advanced Lean Manufacturing and Six Sigma methodologies to enhance operational efficiency and minimize waste in mechatronic system production. • Act as a primary technical liaison between design engineering (mechanical, electrical, software), assembly, quality, and other cross-functional teams, resolving complex technical problems related to system integration and influencing design-for-manufacturing (DFM), design-for-assembly (DFA) and design-for-test (DFT) decisions. • Develop and manage annual engineering plans for mechatronic system development and production, ensuring successful delivery against agreed objectives and key performance indicators. • Oversee the development, implementation, and maintenance of assembly, integration, and testing processes for mechatronic systems, including fixtures, test equipment, and associated documentation. • Conduct complex system integration and performance analyses to ensure mechatronic system capabilities meet design requirements. • Contribute to strategic planning for mechatronic system production capabilities, including technology maturation and full-rate production scale-up of complex integrated products. • Manage project scope, budgets, resources, milestones, and timelines for program execution plans related to mechatronic system development. • Participate in recruiting activities, candidate evaluation, and drive team development and growth. You should apply if you • Bachelor's degree in Mechatronic Engineering, Aerospace Engineering, Robotics, Electrical Engineering, Mechanical Engineering with a strong mechatronics focus, or a related technical field. A Master's degree or specific certifications (e.g., Six Sigma Black Belt, PMP) are often advantageous. • Minimum of 5+ years of progressive experience in mechatronic system development, integration, or production within industries such as robotics, industrial automation, consumer electronics, or complex machinery, with at least 1-3 years in a leadership, senior, or mentorship capacity. • Proven experience leading teams of engineers and support personnel, with strong interpersonal and leadership skills, and the ability to lead by influence. • Demonstrated ability to solve complex technical problems related to the integration of mechanical, electrical, and software components, and drive root cause analysis effectively. • Strong project management skills, including the ability to manage multiple projects simultaneously and meet deadlines in a dynamic environment. • In-depth knowledge of advanced assembly and integration techniques for mechatronic systems, quality management systems (e.g., ISO 9001), and relevant industry standards (e.g., robotics safety, automation). • Proficiency in CAD software (mechanical and/or electrical), simulation tools (e.g., for system dynamics, robotics), and potentially PLC programming or embedded system development tools. • Excellent oral and written communication skills, with the ability to present technical data and collaborate effectively with internal and external stakeholders. • Experience with New Product Introduction (NPI) processes and product lifecycle management for complex mechatronic systems. Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.    Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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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. Role Summary  • As our AI Solution Architect, you'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely IC role.• You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.• You'll partner with Sales Executives in tailoring Mistral's offering into impactful solutions meeting with prospects needs• You'll design implementation projects and scope the required resources on both Mistral and customer side• You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations.• You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production.• You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs.• You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages.• You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world.• You will travel approximately 30 to 60% of your time.• Your role will involve spending time at the client’s office. What you will do Your scope will be as follows: Pre-Sales & Sales Activities:• Conduct pre-sales calls to understand potential clients' needs, challenges, and aspirations.• Lead qualification calls to pinpoint prospects who would gain the most from our solutions.• Collaborate with the sales team to advance the sale pipeline, providing technical expertise and insights where necessary. Product Implementation, Integration & Deployment:• Guide and support customers in deploying our models and products into their infrastructure.• Work closely with customers to fine-tune models according to their specific requirements.• Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience.• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.• Design and develop product features that would meet the need of many customers. Customer Success & Support:• Continually ensure that the customer is maximizing the product's potential.• Provide post-deployment support, addressing any issues or challenges that arise promptly.• Conduct periodic reviews with customers to ascertain their satisfaction and gather feedback.• Offer recommendations for product optimisations or new features based on customer feedback.• Develop these features if needed. Delivering value to the customers:• Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.• Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process• Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   About you • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• You have been involved in a customer facing role• Passion for AI, with a constant drive to stay updated and ahead of the curve• Proven experience in product implementation in AI or machine learning products• You have strong project & stakeholder management skills• You are proficient in developing custom prototypes using frameworks in Python or Javascript• You have foundational knowledge in AI/ML/Data science• Proficient in understanding and developing code• Familiarity with front-end interfaces and integration processes.• You have ability to connect technology and business value • You are result driven and resilient• Fluent in English • Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to frequently support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process • Talent Acquisition screening call• 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution)• 30min Value Talk • Reference check

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About Haast We’re not just talking about AI - we’re shipping one of the first enterprise-grade LLM platforms delivering real value to compliance and legal teams today.For the last 2 years, we’ve been transforming compliance from a painful checkbox exercise into a smooth, intelligent process. Our AI helps legal, compliance, and marketing teams review 80% faster and boost productivity 4x. (Yes, we triple-checked those numbers.)Think Canva for design. Trello for projects. Now, compliance has Haast.Why is this exciting? Compliance is a $50B problem - and AI is rewriting how it’s solved. At Haast, we’re flying the Australian flag on the global stage by building intuitive, delightful interfaces for technology that institutions actually trust.This is your chance to shape the face of enterprise AI: the front-end experiences that thousands of people will use every day to get their work done faster, smarter, and with more confidence.The Role As a Senior Frontend Engineer at Haast, you’ll lead the design and development of the customer-facing side of our AI platform. You’ll architect new features, fine-tune performance, and craft polished interfaces in Svelte that feel seamless and intuitive.While your core focus is frontend, your full-stack experience will help you collaborate across the stack and ensure our interfaces are tightly integrated with our AI-powered backend. The impact you’ll make Own the end-to-end architecture and development of our Svelte-based front endLead performance tuning to make the UI lightning-fast, even at enterprise scaleElevate our design system and UI patterns for consistency and polishDrive improvements in automated testing, observability, and CI/CD for the frontendMentor engineers and champion frontend excellence across the teamCollaborate closely with product and design to ship experiences that users love What you’ll bringYou’re a fit if you:Have proven ability to own and deliver complex features end-to-endCare deeply about design details, polish, and user experienceHave deep experience with modern web frameworks (React, Vue, Svelte)Know how to build reliable, scalable web apps in fast-moving environmentsWrite clean, maintainable code and make thoughtful technical decisionsEnjoy mentoring and sharing best practices with others Bonus points forFrontend Tech: Svelte in production, TypeScript, design systemsFull Stack Exposure: FastAPI, Python, AWS, GitHub ActionsAI Curiosity: Experience with or interest in AI/ML systemsCulture Fit: Startup/high-growth company experience, product-driven collaborationWhy HaastGrowth & ImpactShape the future of compliance by building the UI that brings enterprise AI to lifeWork on a platform trusted (and loved) by major institutionsEmpower users to escape tedious compliance reviews and focus on work they enjoyBuild interfaces that deliver trust, clarity, and speed at scaleBenefits & CultureAustralia remote-friendly for exceptional candidates; Sydney-based team members collaborate in person 2+ days/weekCompetitive salary + meaningful equity (we believe in sharing success)Rapid career growth - high performers get real opportunities, not just high fivesWork with AI that’s actually in production today, not just demosEngineering-driven culture that values learning, craft, and collaboration Apply nowIf you’re excited to shape the future of enterprise AI through world-class frontend engineering, we’d love to hear from you.At Haast, we believe bold ideas come from diverse perspectives. We’re committed to building a team that reflects the world we work in - across gender, background, orientation, ability, and experience. Even if you don’t tick every box, reach out. Let’s talk.

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CSQ426R218 We have 5 open positions based in our Germany offices.  As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of  professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices Comfortable writing code in either Python or Scala Enterprise Data Warehousing experience (Teradata / Synapse/ Snowflake or SAP) Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps  Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel is required up to 10%, more at peak times. Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About Haast We’re not just talking about AI - we’re shipping one of the first enterprise-grade LLM platforms delivering real value to compliance and legal teams today.For 2 years we’ve turned compliance from a painful checkbox exercise into an intelligent, streamlined process. Our AI helps legal, compliance, and marketing teams work 80% faster and boost productivity 4x. (Yes, we triple-checked those numbers.)Why is this exciting? Because compliance is the next frontier. Canva reshaped design. Trello redefined projects. Now, Haast is redefining compliance - and we’re flying the Australian flag on the global stage. The Role As a Senior Full Stack Engineer, you’ll shape the future of our platform. You’ll architect and deliver new features, mentor engineers, and bring both design sensibility and deep technical expertise.You’ll focus on building seamless, performant front-end experiences in Svelte, while using your full-stack expertise to ensure our AI-driven platform scales with speed, reliability, and clarity. Impact you'll make Architect and deliver new features on our Svelte-based front end that delight customersLead performance tuning so our platform feels instant, even at enterprise scaleElevate engineering practices with improvements in testing, observability, and CI/CDMentor junior and mid-level engineers, raising the bar for technical excellencePartner with product and design to craft experiences that feel effortless and intuitiveWhat you'll bring You’re a fit if you:Can own and deliver complex features end-to-endBring a strong design eye and high attention to detailHave deep experience with modern frameworks (Svelte, React, Vue) and architectural patterns Built reliable, scalable web apps in fast-moving environmentsCare about clean, maintainable code and thoughtful technical decisionsEnjoy mentoring others and improving team-wide practices Bonus points forTech: FastAPI, Svelte, Python, AWS, GitHub ActionsAI: Experience with AI/ML or curiosity to dive inCulture: Startup or high-growth company experience, product-driven collaboration Why Haast Growth & ImpactShape the future of compliance — moving it from tedious checklists to AI-powered workflowsBuild enterprise-grade AI trusted (and loved) by major institutionsFree humans to focus on strategic work, not repetitive reviewsCreate tech that builds customer trust and protects consumer rightsBenefits & CultureAustralia Remote-friendly for exceptional candidates; Sydney-based team members collaborate in person 2+ days/weekCompetitive salary & meaningful equity (we believe in sharing success)Rapid career growth - high performers get real opportunities, not just high fivesWork with AI that’s actually in production today, not just demosEngineering-driven culture that values learning, collaboration, and qualityApply now If you’re excited to build enterprise AI used by global institutions and want to own code that shapes the future of compliance, we’d love to hear from you.At Haast, we believe bold ideas come from diverse perspectives. We’re committed to building a team that reflects the world we work in - across gender, background, orientation, ability, and experience. Even if you don’t tick every box, reach out. Let’s talk.

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CSQ326R414 We have 5 open positions based in our Germany office. This role can be remote or be based out of our Munich or Berlin offices.  As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of  professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices Comfortable writing code in either Python or Scala Enterprise Data Warehousing experience (Teradata / Synapse/ Snowflake or SAP) Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps  Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel is required up to 10%, more at peak times. Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role The Manufacturing Engineer plays a pivotal, strategic role at the intersection of product design and production reality. This position is central to defining how products will be manufactured, ensuring their robust and efficient realization from concept through to scalable production. The Manufacturing Engineer proactively collaborates with design engineering to guarantee manufacturability (DFM/DFA) from the earliest stages, meticulously plans and optimizes manufacturing processes, defines optimal cycle times, identifies and mitigates potential bottlenecks, and oversees the successful implementation of new production lines and technologies. Their expertise ensures that innovative designs can be transformed into high-quality, cost-effective, and scalable products. The day-to-day • Strategic Process Definition & Realization: Lead the definition, design, and realization of new and optimized manufacturing processes for new product introductions (NPI) or significant design changes. This includes selecting appropriate manufacturing technologies, developing process flows, and defining specific operational sequences. • Design for Manufacturability (DFM/DFA) Leadership: Serve as the primary manufacturing interface with Design Engineering from the conceptual phase onwards. Provide critical and proactive input on Design for Manufacturability (DFM) and Design for Assembly (DFA) to ensure product designs are inherently optimized for efficient, high-quality, and cost-effective production before release. • Capacity & Cycle Time Planning: Conduct detailed analysis and planning for manufacturing capacities, define optimal cycle times (Taktzeiten) for new production steps or lines, and perform line balancing to achieve target throughput and efficiency. • Bottleneck Identification & Mitigation: Proactively identify potential bottlenecks, inefficiencies, and risks in planned manufacturing processes and line layouts. Develop and propose alternative solutions, process improvements, or equipment strategies to prevent future production constraints. • Tooling, Equipment & Automation Specification: Define the requirements for, and support the design, procurement, and qualification of new manufacturing tools, fixtures, jigs, and production equipment, including automation solutions tailored to the defined processes. • New Product Introduction (NPI) & Ramp-up: Develop comprehensive manufacturing plans for NPI, oversee the setup and validation of new production lines, manage pilot runs, and support the successful ramp-up to full-scale production, ensuring process stability and yield targets are met. • Process Validation & Control: Establish robust process control plans and conduct thorough validation activities (e.g., IQ/OQ/PQ) and statistical process capability studies (CpK, PpK) for new and modified processes to ensure consistent quality and performance. • Documentation & Standardization: Create and maintain precise manufacturing documentation, including detailed work instructions, process flow diagrams, routings, process specifications, and technical reports, ensuring standardized and reproducible manufacturing operations. • Continuous Improvement & Lean Application: Apply Lean Manufacturing principles (e.g., Value Stream Mapping, SMED, Poka-Yoke) and Six Sigma methodologies to continuously refine and optimize newly implemented or existing processes, focusing on waste reduction and efficiency gains. • Technical Expertise & Collaboration: Provide expert technical guidance and support during the implementation phase of new processes and collaborate effectively with cross-functional teams (R&D, Quality, Supply Chain, Production) to achieve manufacturing excellence. You should apply if you have • Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, or a closely related technical field from an accredited institution. • 3-7 years of progressive experience in a manufacturing engineering role, with a strong emphasis on process definition, new product introduction, and DFM activities. • Profound understanding and practical experience with Design for Manufacturability (DFM) and Design for Assembly (DFA) principles, with a proven ability to influence product design. • Expertise in process planning, line balancing, cycle time analysis (Taktzeitplanung), and bottleneck identification and resolution within complex manufacturing environments. • In-depth knowledge of various manufacturing processes (e.g., machining, casting, injection molding, welding, additive manufacturing, assembly, surface treatment) and their specific capabilities, limitations, and best practices. • Proficiency with CAD software (e.g., SolidWorks, AutoCAD, NX, CATIA) for designing and modifying parts, assemblies, tooling, and especially for factory layout and process simulation. Experience with CAM software is a plus. • Strong understanding of materials science and material selection criteria relative to manufacturing processes. • Experience with process validation techniques (IQ, OQ, PQ) and statistical process control (SPC). • Excellent problem-solving skills with a highly analytical and proactive mindset, attention to detail, and a data-driven approach to decision-making. • Ability to read and interpret complex engineering drawings, GD&T, schematics, and technical specifications. • Strong verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams (R&D, Quality, Supply Chain, Production) and present complex technical information clearly and persuasively. • Familiarity with Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP) systems, and factory automation technologies. • Ability to manage multiple projects simultaneously, prioritize tasks, and thrive in a fast-paced, dynamic manufacturing environment. • Proven expertise in applying Lean Manufacturing principles and Six Sigma methodologies (Green Belt or Black Belt certification highly desirable). Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.   Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role The Head of Test will lead all hardware, ground, and lab testing activities for all mechanic and mechatronic systems and components. This pivotal leadership role requires a unique blend of engineering rigor and the robust, high-volume validation methodologies honed in the automotive industry. The successful candidate will drive the strategic direction of testing, ensuring comprehensive validation, reliability, and performance through hands-on technical leadership, advanced testing methodologies, and a deep understanding of complex mechanical and electromechanical systems. This role is ideal for a seasoned leader who thrives on solving intricate technical challenges at the intersection of diverse industries and possesses a strong mechanical, hands-on background. The day-to-day • Strategic Leadership: Define and implement the overall testing strategy for hardware, ground, and lab environments, aligning with program objectives, regulatory requirements, and industry best practices. • Team Management & Development: Lead, mentor, and grow a high-performing team of test engineers and technicians, fostering a culture of technical excellence, innovation, and continuous improvement. • Test Methodologies: Introduce and integrate advanced test methodologies, automation, and validation processes from the automotive sector (e.g., HIL, MIL/SIL, rapid prototyping validation, end-of-line testing, durability testing, advanced data analytics) into aerospace and defence programs. • Test Planning & Execution: Oversee the development, review, and execution of comprehensive test plans, procedures, and reports for various levels of assembly, from component to system-level integration. • Hardware & Facilities Management: Manage the design, build, maintenance, and upgrade of state-of-the-art test rigs, environmental chambers, structural test setups, and other lab/ground test infrastructure. • Technical Guidance & Hands-on Support: Provide expert technical guidance and hands-on support in setting up, troubleshooting, and operating complex mechanical and electromechanical test systems, ensuring data integrity and test validity. • Failure Analysis & Root Cause: Lead detailed failure analysis and root cause investigations for test anomalies, collaborating closely with design, manufacturing, and quality teams to implement corrective actions. • Compliance & Quality: Ensure all testing activities comply with stringent aerospace and defense standards (e.g., AS9100), safety regulations, and program-specific requirements. • Cross-Functional Collaboration: Partner effectively with Design Engineering, Systems Engineering, Manufacturing, Quality Assurance, and Program Management teams to ensure seamless integration of testing into the product development lifecycle. • Resource & Budget Management: Manage departmental budgets, resources, and schedules effectively to ensure timely and cost-efficient completion of testing milestones. You should apply if you have • Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, or a closely related technical field. • Minimum of 10+ years of progressive experience in hardware test engineering, with at least 3-5 years in a leadership or management role, ideally managing a team of engineers and technicians. • Demonstrated experience in both the Aerospace/Defence and Automotive industries is essential, specifically in hardware, ground, and lab testing environments. • Strong mechanical aptitude and proven hands-on experience with complex mechanical systems, test fixtures, instrumentation, data acquisition systems, and laboratory equipment. • Expertise in various testing methodologies, including but not limited to: structural testing, fatigue and durability testing, vibration and shock testing, thermal cycling, EMI/EMC, functional testing, and environmental qualification. • Proficiency in setting up and operating test equipment, including data acquisition systems (e.g., National Instruments LabVIEW/TestStand), strain gauges, accelerometers, load cells, and other sensors. • Solid understanding of design validation (DV) and production validation (PV) testing principles, as well as reliability growth and accelerated life testing. • Familiarity with automotive industry validation practices (e.g., ISO 26262, APQP) and their applicability to safety-critical systems. • Strong analytical and problem-solving skills, with experience in statistical data analysis and robust root cause analysis techniques. • Excellent communication, interpersonal, and leadership skills, with the ability to influence and collaborate across all levels of an organisation. Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.   Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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About the TeamThe Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As a Solutions Architect, you’ll help the largest companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.About the RoleWe are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with GenAI. You will pair with senior customer leaders to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using ChatGPT, OpenAI API, and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Technical Success, APAC.This role is based in Sydney, Australia. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employeesIn this role, you will:Deeply embed with our most strategic platform customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.Forge and manage relationships with our customers’ leadership and stakeholders to ensure the successful deployment and scale of their applications.Contribute to our open-source developer and enterprise resources.Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.You’ll thrive in this role if you:Have 6+ years of technical consulting (or equivalent) experience, bridging technical teams and senior business stakeholders.Are an effective and polished communicator who can translate business and technical topics to all audiences.Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.Have industry experience in programming languages like Python or Javascript.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Technical Success team is responsible for the customer experience on both the OpenAI API platform as well as the ChatGPT business product, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.About the RoleWe are seeking a Solutions Engineer to partner with our customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. This role is based in Sydney, Australia. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employeesIn this role, you will:Deliver an exceptional pre-sales customer experience.Provide technical expertise in the pre-sales process, outlining the value proposition, clarifying technical requirements, and answering product-related questions.Demonstrate how the ChatGPT business product can provide solutions to customers’ business needs and deliver value, including (but not limited to) demos, use case scoping, and proof of concepts.Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g. trust portal), and escalating complex requirements to the appropriate teams.Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.Develop and nurture strong customer relationships during the evaluation and purchasing process.Foster customer advocacy and represent the voice of the customer with internal teams, gathering and relaying customer feedback and identifying themes across customers to incorporate into product planning.Collaborate closely with the Sales and GRC teams to ensure a seamless pre-sales experience.You might thrive in this role if you: Have 7+ years of experience in a Solutions Engineer (or similar) role, managing relationships with large, global, and complex organizations, preferably working with a technical enterprise product.Have a solid track record of delivering and scaling an exceptional pre-sales customer experience.Have experience providing higher level security and compliance support as well as a thorough understanding and knowledge of IT security principles and customer requirements for similar technical B2B SaaS products.Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders.Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.Operate with high horsepower, have strong problem-solving skills, are adept at frequent context switching, effectively manage working on multiple projects at once with expansive ownership, and ruthlessly prioritize.Are personally committed to fostering the safe and ethical evolution of AI.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As a Data Scientist at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place.About the roleThis role focuses on making the Learn platform (with emphasis on Manage, Insights, and APIs) scalable and maintainable for enterprise use. The main responsibility is to take systems that work at current scale and redesign them to handle significantly larger volumes of data, users, and entities (10–20x). The work is primarily architectural and system-level, addressing core bottlenecks and phasing out legacy implementations. Strong database expertise, particularly with Postgres, is valuable for success in this role.In this role, you willRedesign existing components to support enterprise-scale workloads, including high volumes of data and entitiesAnalyze and resolve deep-rooted system bottlenecks in storage, query performance, APIs, and data modelsLead the migration away from legacy implementations, ensuring replacements are sustainable and consistentImprove the reliability and efficiency of APIs and integrations, ensuring they can support both internal services and external enterprise clientsDrive technical projects from definition to delivery, including setting scope, coordinating with Product Managers, and aligning with other engineering teamsMaintain a long-term view of system health and ensure architectural decisions enable future growth and development speedShare technical knowledge with the team, review designs, and help establish best practices for backend and systems design What success looks likeFocus on underlying architecture and scalability rather than short-term fixesProactively identify risks and propose technical solutions before issues become criticalBalance hands-on coding with architectural design and technical leadershipEnsure Learn’s core systems can support larger enterprise customers without performance or reliability degradationApply solid database knowledge (Postgres, schema design, query optimization, indexing strategies) to improve performance and scalabilityWhat We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, collaborate with customers globally and work in our offices in New York, London and Stockholm. Regular team gatherings and events (recently in Italy and South Africa)

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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us We are seeking a Software Development Engineer III (SDE 3) at Observe AI. In this role, we are looking for a talented and driven Sr. Software Engineer to build a scalable, secure, and multi-tenant cloud platform for processing millions of call recordings every day. You will use state-of-the-art cloud computing technologies. You will work closely with the leaders and the engineers to come up with a roadmap and develop solutions. What you’ll be doing Work with the team to define the technical stack and own it Work with the product team to understand the product roadmap and define the technical roadmap Participate in the entire application lifecycle, focusing on coding and debugging Integrate user-facing elements developed by front-end developers with server-side logic Build reusable code and libraries for future use Optimize the application for maximum speed and scalability Implement security and data protection Design and implement data storage solutions Build and scale data pipeline Collaborate with Front-end developers to integrate user-facing elements with server-side logic What you'll bring to the role Bachelor’s Degree in Computer Science with 6.5-9 years of experience in building large-scale products Expertise in Python Knowledge of container management tools (docker-swarm, Kubernetes) is a plus An ability to perform well in a fast-paced environment Good knowledge in at least one of the SQL or no-SQL databases: Postgres, MongoDB, Cassandra, Redis Good knowledge in queue (rabbitmq, Kafka, etc), cache(ehcache, Memcache) Strong knowledge of design patterns Perks and Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

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Who We AreEma pioneers Agentic AI, developing autonomous, goal-driven AI agents that can plan, decide, and act across complex enterprise workflows without constant human oversight. We combine advanced LLMs with proprietary orchestration, retrieval, and reasoning layers, enabling AI agents to adapt to context, collaborate, and securely interact with enterprise systems.This is not another automation tool — this is AI that can see, design, and execute solutions before you even ask. If you want to work on technology that will define the next decade — solving problems no one has dared to touch, at a scale that matters — this is your shot.We’re looking for Fresh graduates from top Universities who want to push AI from theory into history-making reality.. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world.What is the AI resident/Data Resident program?A 6 month remote internship opportunity offering you a glimpse into the real world applications of machine learning and data engineering to build scalable solutions for enterprises.Our aim - creating an experience that allows final year college students to learn how fast growing startups work, gain practical skills, build real world experience, develop a greater understanding of the GenAI and data engineering industry and form valuable connections.Become a part of our extraordinary team of world-class software engineers and leading machine learning and data engineering practitioners.At the end of their stints, top performing residents will get an opportunity to meet the co- founders and the team in our Bangalore office and shall be awarded full time positions at Ema.We envision this program as a launchpad for future AI/Data leaders of our company.Who is eligible for this program?Our AI Resident & Data Resident programs are open for students in the final year of their undergraduate degree in Computer Science or related fields and graduating by June 2025/26. This is a remote opportunity which offers you the flexibility to work from your respective campuses/homes. You would be expected to work full time during the summer and 20-30hrs / week on average during the semester.AI ResidentResponsibilitiesResearch, design, implement, optimize and deploy deep learning models that advance the state of the art in perception and control for autonomous drivingA typical day to day includes reading deep learning papers, implementing described models and algorithms, adapting them to our setting and driving up internal metricsPlay a pivotal role in developing and maintaining sophisticated enterprise-level software applications, with a focus on back-end systems, API development, and the integration of language models and NLP technologiesTrain machine learning models at EmaDevelop state-of-the-art algorithms in one or all of the following areas: Prompt engineering for LLM models, Fine tuning models, Training open source models, large-scale distributed training,Comparing and benchmarking performance of different modelsOptimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded deviceData ResidentResponsibilitiesConduct analysis that includes data gathering, data transformation, data processing and analysisWork with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methodsBuild and prototype analysis pipelines iteratively to provide insights at scaleWhat makes you a good fit for the AI resident / Data Resident program?You must be currently enrolled in a full-time degree program in Computer Science or related field graduating by June 2026Top rankers in JEE Advanced and consistent high academic record (GPA) preferred.Strong interest in either:Machine Learning or Natural Language Processing (NLP), ideally in one or more of these areas: Generative AI, Natural Language Understanding (NLU), Natural Language Generation (NLG), Structured Prediction, Unsupervised Learning & Representation Learning.AND/ORSystems programming, data engineering, data processing frameworks, streaming databases and data visualization.You must be strong in coding skills and be ready to pick up any task and run with it.You should have an experience with SQL and other programming languages like Python, Cala, or RExperience with programming languages like Python and familiarity with frameworks like PyTorch, Tensorflow, Keras, etc.Experience with statistical methods (linear models, multivariate analysis, stochastic processes, sampling methods, etc.)What benefits do you get as an AI resident/ Data Resident?Monthly Stipend - Rs 65,000 per monthCoaching and mentorship from highly accomplished leaders.Connections to a powerful and sought-after network of world leaders for future endeavors.

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About Prime IntellectPrime Intellect is building the infrastructure for decentralized AI. By enabling global collaboration in compute, code, and capital, we’re accelerating the development of open-access AI models with a bold vision: AGI that benefits everyone. Role: Chief of Staff / Operations LeadWe’re hiring a Chief of Staff / Operations Lead to partner with our CEO, CTO, and COO on building the foundations of Prime Intellect. This is a strategic operations role: you’ll design and run the systems that keep the company moving at speed, while also leading key initiatives across hiring, culture, and external partnerships.Your scope will range from managing core operations (housing, events, logistics) to shaping workflows, driving team growth, and strengthening relationships with investors and collaborators. At its core, the role is about creating the structure and environment that allow Prime Intellect to scale — ensuring leadership and the broader team can stay focused on advancing decentralized AI.Operations & ExecutionOversee day-to-day logistics including housing, moves, events, and vendor management.Coordinate team gatherings such as off-sites, hackathons, and community dinners.Anticipate and resolve operational challenges quickly and effectively.Team Building & SupportLead hiring processes across operations, business, and legal functions.Support and mentor team members to foster a collaborative, results-driven culture.Identify resourcing gaps and ensure teams have the tools they need to succeed.Operational ExcellenceDesign and refine workflows that improve productivity and scalability.Implement systems for continuous improvement across the organization.Develop and track metrics to measure performance and identify improvements.Stakeholder EngagementBuild strong relationships with investors, partners, and collaborators.Serve as a point of contact for external inquiries and partnerships.Support leadership in fundraising prep and investor communications.Who You AreProven experience as Chief of Staff, operations leader, or similar role in a fast-paced, high-growth tech environment.Strong organizational skills and ability to juggle shifting priorities.Comfortable working side-by-side with founders and senior leadership.People-oriented and resourceful, with a bias for solving problems quickly RequirementsStrong track record of aligning teams to execute ambitious goals at scale.Experience with hiring, team development, and fostering high-performing teams.Business acumen with experience in financial management and fundraising.Outstanding communication and interpersonal skills, including executive-level reporting. What We OfferCompetitive compensation, including generous equity compensation.San Francisco HQ incl lunch and other benefits.Visa sponsorship and relocation support for international candidates.Quarterly team off-sites, hackathons, and growth opportunities.A chance to shape the future of decentralized AI alongside a passionate, mission-driven team. We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doLead the design and delivery of production-grade AI agents: You’ll manage and grow a team of engineers building highly performant, reliable, and intuitive AI agents that are central, mission-critical, and directly drive Sierra’s growth. These aren’t prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. You’ll ensure technical excellence, operational reliability, and high customer impact.Own the Agent Development Life Cycle (ADLC): You’ll guide your team through the full lifecycle—from initial pilot through deployment and continuous iteration—coaching engineers to set and maintain the standard for ADLC best practices. You’ll ensure projects are delivered on time, meet customer needs, and scale effectively in production environments.Partner with large enterprises and cutting-edge startups: You’ll collaborate with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and guide your team in building AI agents that transform how they operate at scale. You’ll also work with innovative startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.Shape the future of the platform: Your team’s direct work with customers will guide the evolution of Sierra’s core platform. You’ll surface unmet needs, prioritize initiatives, and collaborate with research, product, and platform teams to shape the future of AI agent development and Sierra’s product.What you'll bringExperience leading engineering teams that build and scale end-to-end production systemsStrong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environmentsA leadership style that blends high standards with empathy, fostering both speed and qualityProven ability to work closely with customers and translate business needs into technical deliverablesExcellent communication skills across technical and non-technical audiencesDegree in Computer Science or related field, or equivalent professional experience.Even better...AI-related experience (experience developing AI agents a plus).Experience building or deploying AI/LLM systems in productionBackground as a founder, engineering lead, or startup builder with high ownership and urgencyFamiliarity with tools for today’s AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoExperience interfacing with customers or leading technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What You’ll DoBring Enterprise-grade AI Agents to the World: We're on a mission to revolutionize the way consumers & businesses interact by empowering every business to build a world-class AI agent that fully represents its identity and brand. Your work will make this a reality.Solve for the Customer: We serve multiple stakeholders – People looking for help from our Agents, CX managers using our tools to monitor and improve the process, and Developers looking to build on and extend our platform. Each of these has a unique set of needs and product challenges.Innovate: AI Agents represent a new frontier. Discovering new tools and processes for building agents will be among the defining characteristics of the next generation of companies.Collaborate: Partner closely engineering, design, leadership, and the entire company to define and build a seamless and cohesive experience. Advise: Become trusted and strategic advisor to our customers, in partnership with our sales, go-to-market, and forward-deployed teams.End-to-End Ownership: Lead the product through all stages from concept to excellent execution, in close collaboration with cross-functional partners.What You’ll BringProven Experience: Extensive experience in product, engineering or related field, with background leading products from ideation to launch. Curiosity: Passion for deeply understanding user needs and finding the right solutions from first principles. Ability to operate in high ambiguity and build new, 0–1 bets.Excellent Collaboration: Product is a team sport, and building great products means working closely with engineering, design, customers, leadership, and more to help bring ideas to life.Excellent Communication: Strong verbal and written communication skills, with the ability to articulate complex problems, concepts and decisions to various stakeholders.Strong Values Alignment: Embodies our values and culture.Adaptability and Resilience: Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace. Even Better...Experience designing for AI-driven products or conversational interfaces.Experience working on enterprise and/or developer products, including SDKs, APIs, and technical tooling.Experience with Typescript, React, and other programming languages.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the RoleAs a Data Scientist at Decagon, you’ll bring deep technical rigor to how data is analyzed, tested, and applied across the business. You’ll design and interpret experiments, apply advanced statistical methods, and build scalable analytical frameworks that directly inform product strategy and company performance.You’ll work across Engineering and Product to establish robust measurement practices, expand the use of data-driven decision making, and uncover insights that shape Decagon’s trajectory. This role blends strong analytical expertise with product acumen and the ability to influence at the highest levels.In this role, you willConduct deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights.Enhance and extend Decagon’s data models, metrics, and dashboards to ensure consistent, scalable reporting across teams.Design, implement, and analyze controlled A/B test experiments to measure product changes and customer experience.Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles.Build and continuously improve Decagon’s data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company.Communicate findings clearly and persuasively to executives and cross-functional stakeholders, influencing strategic decision-making.Be the primary driver of experimentation culture at Decagon, helping define how we design, measure, and scale experiments across the business.What We're Looking For Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data. Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design. 5+ years (or equivalent experience) in data science or product analytics roles, ideally within high-scale consumer or marketplace products.A proven track record of designing, running, and analyzing experiments at scale. Excellent communication skills, with experience influencing stakeholders and driving decisions across teams.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation:$250k - $300k + equity

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Building the Future of Decentralized AI DevelopmentAt Prime Intellect, we're enabling the next generation of AI breakthroughs by helping our customers deploy and optimize massive GPU clusters. As our Solutions Architect for GPU Infrastructure, you'll be the technical expert who transforms customer requirements into production-ready systems capable of training the world's most advanced AI models.We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.Core Technical ResponsibilitiesThis customer-facing role combines deep technical expertise with hands-on implementation. You'll be instrumental in:Customer Architecture & DesignPartner with clients to understand workload requirements and design optimal GPU cluster architecturesCreate technical proposals and capacity planning for clusters ranging from 100 to 10,000+ GPUsDevelop deployment strategies for LLM training, inference, and HPC workloadsPresent architectural recommendations to technical and executive stakeholdersInfrastructure Deployment & OptimizationDeploy and configure orchestration systems including SLURM and Kubernetes for distributed workloadsImplement high-performance networking with InfiniBand, RoCE, and NVLink interconnectsOptimize GPU utilization, memory management, and inter-node communicationConfigure parallel filesystems (Lustre, BeeGFS, GPFS) for optimal I/O performanceTune system performance from kernel parameters to CUDA configurationsProduction Operations & SupportServe as primary technical escalation point for customer infrastructure issuesDiagnose and resolve complex problems across the full stack - hardware, drivers, networking, and softwareImplement monitoring, alerting, and automated remediation systemsProvide 24/7 on-call support for critical customer deploymentsCreate runbooks and documentation for customer operations teamsTechnical RequirementsRequired Experience3+ years hands-on experience with GPU clusters and HPC environmentsDeep expertise with SLURM and Kubernetes in production GPU settingsProven experience with InfiniBand configuration and troubleshootingStrong understanding of NVIDIA GPU architecture, CUDA ecosystem, and driver stackExperience with infrastructure automation tools (Ansible, Terraform)Proficiency in Python, Bash, and systems programmingTrack record of customer-facing technical leadershipInfrastructure SkillsNVIDIA driver installation and troubleshooting (CUDA, Fabric Manager, DCGM)Container runtime configuration for GPUs (Docker, Containerd, Enroot)Linux kernel tuning and performance optimizationNetwork topology design for AI workloadsPower and cooling requirements for high-density GPU deploymentsNice to HaveExperience with 1000+ GPU deploymentsNVIDIA DGX, HGX, or SuperPOD certificationDistributed training frameworks (PyTorch FSDP, DeepSpeed, Megatron-LM)ML framework optimization and profilingExperience with AMD MI300 or Intel Gaudi acceleratorsContributions to open-source HPC/AI infrastructure projectsGrowth OpportunityYou'll work directly with customers pushing the boundaries of AI, from startups training foundation models to enterprises deploying massive inference infrastructure. You'll collaborate with our world-class engineering team while having direct impact on systems powering the next generation of AI breakthroughs.We value expertise and customer obsession - if you're passionate about building reliable, high-performance GPU infrastructure and have a track record of successful large-scale deployments, we want to talk to you.Apply now and join us in our mission to democratize access to planetary scale computing.