Find AI Work That Works for You

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Engineer & Researcher - HCI / Model Designer at xAI, you will play a pivotal role in bridging the gap between cutting-edge AI models and exceptional user experiences. This position sits at the intersection of human-computer interaction (HCI), AI engineering, and model design, where you'll collaborate with cross-functional teams to reimagine how users engage with our AI systems. Your work will focus on elevating the intuitiveness, clarity, and delight of interactions, ensuring that complex AI capabilities are presented in ways that feel natural, insightful, and empowering. With a keen eye for user-centric design, you'll iterate on interfaces, information architectures, and visualization techniques to make our models more accessible and transparent—ultimately helping users unlock the full potential of AI in their daily lives. Focus Enhance User Interactions: Design and implement intuitive interfaces that improve how users query, receive, and iterate on responses from our AI models, prioritizing seamless and engaging experiences. Information Organization and Display: Develop strategies for structuring and presenting AI-generated content, ensuring clarity, hierarchy, and relevance to help users quickly grasp key insights without overwhelm. Innovate on Agent Transparency: Create novel ways to visualize and convey the internal reasoning processes of AI agents, such as step-by-step thought traces or dynamic feedback loops, to build trust and understanding. Prototyping and Iteration: Rapidly prototype new HCI features for AI interfaces, incorporating user feedback and A/B testing to refine how models deliver value in real-world scenarios. Cross-Disciplinary Collaboration: Work closely with AI researchers, engineers, and product teams to integrate HCI principles into model training and deployment, fostering innovations that align technical capabilities with human needs. Ideal Experience HCI and UX Expertise: Proven track record in human-computer interaction, user experience design, or related fields, with a portfolio demonstrating high-taste designs for complex systems—ideally in AI or tech products. AI/ML Engineering Background: Hands-on experience building or fine-tuning AI models (e.g., LLMs, agents), combined with skills in software engineering (Python, frontend frameworks like React) to prototype and deploy interactive AI features. Research Acumen: Experience conducting user studies, A/B experiments, or HCI research, with publications or projects in areas like AI explainability, information visualization, or conversational interfaces. Creative Problem-Solving: Demonstrated ability to innovate on information display and agent transparency, such as designing tools for reasoning visualization or adaptive UIs, with a strong aesthetic sense for what "feels right" to users. Collaborative Mindset: 3+ years in fast-paced environments, preferably at AI startups or tech companies, where you've balanced technical depth with user empathy to deliver impactful solutions. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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YOUR MISSION: As a Senior Backend Engineer at Parloa, you will have a crucial role in helping us build the leading enterprise solution for automated dialogs. You will be actively involved in improving our tools and processes to support collaboration and productivity as well as in cultivating an environment where we can all learn and grow. IN THIS ROLE YOU WILL: Design and develop efficient backend solutions based on Node.js/Typescript running containerized as highly scalable applications in Kubernetes clusters. Evaluate new technologies and their integration into our current codebase in the form of research sprints. Share your technical knowledge with your peers, so the whole team can benefit from each other’s experiences. Actively exchange code review feedbacks with other software engineers, considering both style and implementation.   Our Tech stack: React/Redux, TypeScript, NodeJS, Inversify, NestJS, Lerna, Koa, Jest, Kubernetes, Docker, MongoDB, Redis   WHAT YOU BRING TO THE TABLE: Proficiency in backend engineering that you have mastered during your 7+ years of work experience. Passion for writing clean and modular code that is easy to maintain, update, test and scale. Solid work experience with OOP-Typescript, NodeJS, MongoDB, and Docker. Eagerness to take ownership of a task from inception to completion without losing focus of the business context. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: As a Senior Backend Engineer (f/m/d)* on the Evaluations Platform team you will collaborate with Engineers, Scientists, and Product, building Parloa’s Evaluations Platform - enabling our customers to simulate agent behavior in custom scenarios and evaluate and monitor AI Agent behavior and performance both in simulations and production. You will be actively involved in improving our tools and processes to support collaboration and productivity as well as in cultivating an environment where we can all learn and grow. Parloa has an office first hybrid in-office policy. Our team is usually in the office 2 to 3 days a week.  IN THIS ROLE YOU WILL: Work on our brand new LLM functionality to improve the customer service experience for millions of customers. Execute and lead projects end-to-end, including: collaborating with a product manager to understand user-facing requirements, leading architecture and system design, and non-functional requirements such as security, monitoring, & logging. Design, build, and maintain secure and scalable backend services in Python. Optimize system performance for low latency, high throughput, and reliability. Collaborate across teams to integrate machine learning components into production systems. Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon). Drive initiatives to improve operational excellence. Contribute to the evolution of our architecture and engineering culture. Our Tech stack: LLMs: OpenAI and other LLM-as-a-Service providers, Prompt engineering, LLM finetuning FastAPI, MongoDB, MySQL, Redis, Kafka, Terraform Docker, Helm, ArgoCD, Kubernetes Python, TensorFlow, PyTorch, scikit-learn for efficient implementation WHAT YOU BRING TO THE TABLE: 7+ years of experience as a backend engineer Experience with highly scalable real-time micro-service architecture.  Passion for writing clean and modular code that is easy to maintain, update, test and scale. Experience with version control systems, code review processes, and CI/CD pipelines. Experience with owning the Backend service development process end-to-end: from gathering requirements to design to support and continuous improvement, monitoring and maintenance. Experience in leading medium-sized technical projects (3-9 months roadmap) Proficiency in Python. Strong spoken and written communication skills in English. NICE TO HAVE: Some ML experience and a grasp of popular ML libraries and frameworks WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health and other benefits. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from home and/or our beautiful office in the heart of Berlin with adjustable desks, social areas, fresh fruits, cereals, and drinks. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Challenge → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: At Parloa, we’re on a mission to transform real-time customer interactions through a new generation of agentic AI. Our platform powers intelligent agents that automate complex voice and chat conversations at scale. As an engineer, you’ll take on meaningful challenges — from distributed systems to low-latency pipelines — and help solve problems the industry hasn’t cracked yet. Join us to build AI that doesn’t just respond — it understands, decides, and acts. As a Senior Backend Engineer (f/m/d)* on the Skills team you will work on a marketplace of tools and integrations which Parloa's agents leverage via MCP. Managed access to business systems dramatically increases their value while controlling for security and risk. You haven't worked with our stack? That's fine! We would love to get in touch as long as you are open to learn and code in Typescript. Parloa has an office-first approach. Our team is usually in the office 2-3 days a week.  IN THIS ROLE YOU WILL: Design, build, and maintain secure and scalable backend services Optimize system performance for low latency, high throughput, and reliability Collaborate across teams to integrate machine learning components into production systems Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon) Drive initiatives to improve operational excellence Contribute to the evolution of our architecture and engineering culture Our Tech stack: Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP   WHAT YOU BRING TO THE TABLE: 7+ years of experience as a software engineer Experience in Typescript, Node (ideally NestJS); or experience with comparable frameworks in other languages, and a willingness to learn and code in Typescript Experience with developing and maintaining highly scalable and reliable microservices Deep understanding of distributed systems, event-driven architectures, and APIs Experience with cloud-native infrastructure (e.g., Kubernetes, GCP/AWS) A bias for action, strong ownership, and a passion for clean, pragmatic code Experience in leading technical projects  (3-9 months horizon) Strong spoken and written communication skills in English Curiosity and openness to work with AI-assisted coding tools WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: At Parloa, we’re on a mission to transform real-time customer interactions through a new generation of agentic AI. Our platform powers intelligent agents that automate complex voice and chat conversations at scale. As an engineer, you’ll take on meaningful challenges — from distributed systems to low-latency pipelines — and help solve problems the industry hasn’t cracked yet. Join us to build AI that doesn’t just respond — it understands, decides, and acts. As a Backend Engineer (f/m/d)* on the Real-Time Communications team, you will be enabling our users to interact with our AI agents in their device of choice, using their preferred communications medium in a self-service fashion, with the highest standards of reliability and security. You haven't worked with our stack? That's fine! We would love to get in touch as long as you are open to learn and code in Typescript. Parloa has an office-first approach. Our team is usually in the office 2-3 days a week.  IN THIS ROLE YOU WILL: Design, build, and maintain secure and scalable backend services Optimize system performance for low latency, high throughput, and reliability Collaborate across teams to integrate machine learning components into production systems Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon) Drive initiatives to improve operational excellence Contribute to the evolution of our architecture and engineering culture Our Tech stack: Python, Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, NATS, Kamailio, RTPengine, Janus, FreeSwitch   WHAT YOU BRING TO THE TABLE: 7+ years of experience as a software engineer Solid understanding of real-time communication protocols Willingness to learn and code in Typescript Experience with developing and maintaining highly scalable and reliable microservices Deep understanding of distributed systems, event-driven architectures, and APIs Experience with cloud-native infrastructure (e.g., Kubernetes, GCP/AWS) A bias for action, strong ownership, and a passion for clean, pragmatic code Experience in leading technical projects  (3-9 months horizon) Strong spoken and written communication skills in English Curiosity and openness to work with AI-assisted coding tools WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION At Parloa, our Engineering teams are united by a shared passion for crafting innovative solutions that are not only powerful but also intuitive and accessible. We are relentless in our pursuit to enhance the scalability, reliability, and performance of our systems, empowering both our customers and our fellow engineers to achieve more. As a Staff Software Engineer within our Agent-Runtime domain, you will play a pivotal role in shaping the technical strategy and driving our mission to transform the contact center industry. You’ll be entrusted with the design, development, and maintenance of mission-critical backend services—systems that serve as the backbone of Parloa’s success. This is a unique opportunity to work within a highly collaborative, cross-functional environment that celebrates diversity of thought, encourages creative problem-solving, and champions innovation at every level. Your expertise will have a direct impact on the evolution of our platform, making a tangible difference in the daily experiences of our users worldwide. If you are eager to lead by example, inspire others, and push the boundaries of what’s possible in conversational AI, we invite you to join us on our journey to redefine the future of customer interaction. You will work closely with Jürgen and Ciaran to build the Agent Runtime.   IN THIS ROLE, YOU WILL: Shape and Drive the Technical Vision: Define, communicate, and execute the technical roadmap for the Agent-Runtime domain, ensuring alignment with Parloa’s strategic objectives. Influence Architectural Excellence: Make and guide key architectural decisions, setting standards for scalability, security, and reliability across critical backend services. Champion Engineering Efficiency and Quality: Lead initiatives to optimize development workflows, improve system performance, and support sustainable growth. Lead by Example: Act as a technical leader within the team and organization, fostering a culture of continuous improvement, learning, and high performance. Bridge Technical Gaps: Proactively identify, analyze, and resolve gaps or inefficiencies in technical solutions and processes, collaborating across teams when needed. Advocate for Best Practices: Promote and enforce best practices in software design, testing, security, and operational excellence throughout the engineering lifecycle. Partner Cross-Functionally: Collaborate closely with Product, Infrastructure, and other teams to deliver resilient, observable, and high-performing systems. Own Service Quality: Define, monitor, and maintain Service Level Objectives (SLOs), ensuring exceptional service availability and reliability. Mentor and Grow Talent: Coach, mentor, and support engineers at all levels, sharing knowledge, driving technical discussions, and nurturing a growth mindset within the organization. Cultivate an Innovative Culture: Encourage experimentation, embrace diverse perspectives, and foster an environment where creativity and innovation thrive.   Our Tech stack: Microsoft Azure, React/Redux, TypeScript, NodeJS, Python, FastAPI, Inversify, NestJS, Jest, Kubernetes, Docker, MongoDB, Redis   WHAT YOU BRING TO THE TABLE: Expertise in designing, developing, and operating high-performance, low-latency software systems for real-time processing and streaming data. Deep proficiency in Python or TypeScript, with a focus on architecting scalable, maintainable, and testable solutions. Strong foundation in design patterns, clean coding, and data-intensive, event-driven systems (e.g., Kafka or Nats). Advanced knowledge of API design principles for efficient and scalable data flow solutions. Mastery of testing methodologies and tools within a test-driven development environment. Deep understanding of how product analytics can drive user-centric insights and create business value. Expertise in designing systems and leading complex technical projects (9-18 months roadmap) Thrives in fast-paced, agile environments, consistently delivering high-quality, scalable code while driving impactful projects to successful completion. Demonstrated strong leadership and collaboration skills, effectively communicating and working seamlessly across cross-functional teams to achieve shared business objectives. Passionate about mentoring and guiding junior and mid-level engineers, fostering a culture of knowledge sharing, continuous learning, and professional growth within the team. Proactively drives technical excellence, continuously learning and inspiring others to improve their skills and deliver impactful solutions. Strong spoken and written communication skills in English NICE TO HAVE: Experience building agentic workflows that leverage large language models to accomplish complex tasks WHAT'S IN IT FOR YOU?   Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days, and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone to our beautiful Berlin office on certain days.   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Live Coding Interview → System Design + Technical Leadership Interview → Meet our VP Engineering  Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our Vernon, CA Data Center 5 days per week.What You'll DoEnsure new server, storage and network infrastructure is properly racked, labeled, cabled, and configuredTroubleshoot hardware and software issues in some of the world’s most advanced systemsDocument data center layout and network topology in DCIM softwareWork with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deploymentsManage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centersWork closely with HW Support team to ensure data center infrastructure-related support tickets are resolvedWork with RMA team to ensure faulty parts are returned and replacements are orderedFollow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centersYouAre familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable managementAre someone who pays attention to detail and has the ability to follow instructionsAre action-oriented and have a strong willingness to learnAre willing to travel for bring up of new data center locationsNice to HaveExperience with troubleshooting server hardwareExperience with Linux administrationExperience with working in large-scale distributed data center environmentsExperience Supermicro & Nvidia hardwareSalary Range InformationBased on market data and other factors, the annual salary range for this position is $86,000-$111,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Why SalesApe?Join SalesAPE, one of the fastest-growing AI companies, recognised as a leader in cutting-edge AI technology and backed by over $20 million from top VCs.We’re at the dawn of a powerful evolution, set to transform society with our tech. Our mission? To tackle inequality by empowering a huge market of non-tech SMBs—93% of all businesses, think construction, automotive, real estate, and more. While the tech industry has compounded its growth with computing power, these businesses have been technically starved.With AI agents and our natural language interface technology, we’re unlocking huge productivity gains for our clients. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team. The emotional bond our clients feel toward their agent is undeniable—they often tell us their ‘Ape’ has become part of the family. Our vision is to become the ‘ brain’ of a business spinning out agent worker, freeing up time and simplifying operations, to ensure humans spend more time in real-life interaction.If you’re ready for intense, high-energy, meaningful work, come make a real impact with us at SalesAPE.Founder Elevator Pitch on our Mission and PurposeAs we started building with large language models and AI-powered natural language interfaces, I had an aha moment. It hit me just how significant this inflection point is: compute—the raw power of computers—is now accessible to people who don’t use computers.""And when I thought about that, I realized the closest invention humanity has seen to this shift was electricity. When electricity arrived, it didn’t just light up homes—it transformed industries, democratized wealth, and empowered everyone, from factory owners to farmers, to grow and thrive. Today, with AI, we have the opportunity to do the same for the real economy.""For the last two decades, the tech industry has had an incredible advantage. Computers have been like co-pilots for us, quietly amplifying our productivity and enabling us to grow faster than ever before. But 95% of businesses—builders, plumbers, and real estate agents—have been technically starved. These businesses make up 50% of GDP, five times larger than the entire tech industry, but they’ve never had access to the tools they need to compete.""This is the inequality we’re solving. APE AI is democratizing technology, bringing the power of compute to businesses that have been left behind. And what’s so rewarding is that we’re not just helping faceless corporations—we’re empowering real people. Small business owners who pour their hearts into their work. People whose success directly impacts their families, their communities, and society at large. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team.""For me, this mission is personal. I’ve spent my career building companies that encourage people to connect in real life, to be physically active, and to engage with their communities. This isn’t just about productivity—it’s about health, happiness, and thriving societies. Humans weren’t built to spend their lives staring at screens. We’re wired to interact, to move, to be part of the real world. And what excites me is that Ape AI is helping to make this possible—empowering businesses that create real-world value to thrive at the same pace as the tech giants.""This isn’t just about technology. It’s about fairness. It’s about giving the power of compute to the people who need it most, so they can grow, thrive, and make a difference. That’s our mission, and it’s something we can all be proud of.The RoleYou’ll be building high-velocity go-to-market experiments in key verticals, translating marketing goals into automated workflows and scalable campaigns that directly drive pipeline growth. Reporting to the Head of Growth, you’ll partner with Sales, Ops, Product and Engineering to architect and optimize full-stack GTM processes - both digital and offline.Core ResponsibilitiesGTM Workflow Engineering Rapidly prototype, implement, and maintain end-to-end automated workflows connecting CRM, ad platforms, and third-party tools to orchestrate targeted vertical campaigns and scalable prospect experiences.AI-Powered Content Orchestration Develop and refine content pipelines using LLMs and creative tools (video, copy) to personalize messaging at scale.Experiment Design & Execution Plan, launch, and iterate high-velocity multichannel tests (digital, direct mail, events), analyzing results to optimize budget and performance.Metrics & Insights Design and maintain real-time dashboards; extract actionable insights to inform strategy and improve funnel efficiency.Enablement & Documentation Create modular playbooks, process docs, and training materials to empower Sales and Marketing teams to self-serve automation capabilities.Day-to-Day ActivitiesRapidly prototype new CRM workflows and scoring rules; conduct A/B tests on routing logic.Collaborate with Engineering to integrate APIs, troubleshoot automation failures, and optimize system reliability.Use LLM prompts to generate and QA copy variants for emails, ads, and landing pages, then deploy via automated pipelines.Launch, monitor, and iterate multichannel experiments, adjusting parameters in-flight based on performance data.Lead daily standups to review pipeline health, highlight experiments, and unblock cross-functional dependencies.Essential Skills & QualificationsWorkflow & CRM Automation: 3–5 years building complex CRM automations, with exposure to APIs or no-code platforms.AI/LLM & Content Generation: Comfortable engineering prompts and refining AI-generated copy (emails, ads, video scripts).Experimentation Mindset: Proven track record running multichannel pilots - setting up, measuring, and iterating.Data Fluency: Able to model data, build dashboards (Looker, Tableau, GA4), and draw actionable insights.Technical Agility: Basic scripting (Python/JS) or advanced no-code skills to glue systems together.Behavioural Traits & MindsetSystems Thinker: Sees the big picture and designs automations that integrate seamlessly into broader GTM workflows.Problem Solver: Breaks down complex challenges into actionable steps and crafts scalable solutions.Automation Enthusiast: Passionate about streamlining processes, building reusable modules, and maximizing efficiency.Experimental Learner: Embraces a test-and-learn approach - rapidly prototyping ideas, analyzing results, and iterating.Collaborative Communicator: Bridges technical and business teams by clearly articulating strategies, trade-offs, and outcomes.Growth OpportunitiesThis role sits at the vanguard of marketing’s AI-driven future. As automation and intelligent tools reshape how we engage customers, you’ll be right at the cutting edge - experimenting with emerging technologies, pioneering new strategies, and redefining best practices. If you’re passionate about building a career at the intersection of growth and innovation, this role offers an unparalleled launchpad. You’ll gain hands-on experience leading AI-powered campaigns and automations, positioning you perfectly for a future where marketing is increasingly shaped by AI and automation.

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Why SalesApe?Join SalesAPE, one of the fastest-growing AI companies, recognised as a leader in cutting-edge AI technology and backed by over $20 million from top VCs.We’re at the dawn of a powerful evolution, set to transform society with our tech. Our mission? To tackle inequality by empowering a huge market of non-tech SMBs—93% of all businesses, think construction, automotive, real estate, and more. While the tech industry has compounded its growth with computing power, these businesses have been technically starved.With AI agents and our natural language interface technology, we’re unlocking huge productivity gains for our clients. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team. The emotional bond our clients feel toward their agent is undeniable—they often tell us their ‘Ape’ has become part of the family. Our vision is to become the ‘ brain’ of a business spinning out agent worker, freeing up time and simplifying operations, to ensure humans spend more time in real-life interaction.If you’re ready for intense, high-energy, meaningful work, come make a real impact with us at SalesAPE.Founder Elevator Pitch on our Mission and PurposeAs we started building with large language models and AI-powered natural language interfaces, I had an aha moment. It hit me just how significant this inflection point is: compute—the raw power of computers—is now accessible to people who don’t use computers.""And when I thought about that, I realized the closest invention humanity has seen to this shift was electricity. When electricity arrived, it didn’t just light up homes—it transformed industries, democratized wealth, and empowered everyone, from factory owners to farmers, to grow and thrive. Today, with AI, we have the opportunity to do the same for the real economy.""For the last two decades, the tech industry has had an incredible advantage. Computers have been like co-pilots for us, quietly amplifying our productivity and enabling us to grow faster than ever before. But 95% of businesses—builders, plumbers, and real estate agents—have been technically starved. These businesses make up 50% of GDP, five times larger than the entire tech industry, but they’ve never had access to the tools they need to compete.""This is the inequality we’re solving. APE AI is democratizing technology, bringing the power of compute to businesses that have been left behind. And what’s so rewarding is that we’re not just helping faceless corporations—we’re empowering real people. Small business owners who pour their hearts into their work. People whose success directly impacts their families, their communities, and society at large. It’s deeply rewarding to see firsthand the transformation in small businesses as they embrace their agent—not just as a tool, but as a trusted, hard-working member of their team.""For me, this mission is personal. I’ve spent my career building companies that encourage people to connect in real life, to be physically active, and to engage with their communities. This isn’t just about productivity—it’s about health, happiness, and thriving societies. Humans weren’t built to spend their lives staring at screens. We’re wired to interact, to move, to be part of the real world. And what excites me is that Ape AI is helping to make this possible—empowering businesses that create real-world value to thrive at the same pace as the tech giants.""This isn’t just about technology. It’s about fairness. It’s about giving the power of compute to the people who need it most, so they can grow, thrive, and make a difference. That’s our mission, and it’s something we can all be proud of.What You’ll Do1. Own the Growth Experiment Stack(Scored: Experiment Design, AI-Tooling Leverage, Commercial Fluency)Design and run growth experiments—A/B tests, prompt tests, onboarding changes, channel tweaks—across the full user funnelBuild scrappy tools, landing pages, or agents to validate hypotheses quicklyAutomate lead qualification, routing, or enrichment using LLMs and AI toolsTranslate learnings into scalable systems and playbooks 2. Prototype and Ship Marketing Tools(Scored: Generalist Agility, UX & Psychology, Discovery Skills)Build custom GPTs, internal tools, or user-facing flows that enhance demo booking, onboarding, or lead conversionLeverage behavioral psychology principles (e.g., social proof, urgency, framing) to drive outcomesPartner with Sales, CS, and Product to uncover high-impact ideas worth testing 3. Own Metrics and Growth Intelligence(Scored: Commercial Sense, Curiosity, Communication & Influence)Instrument key touchpoints and build dashboards to monitor growth KPIsRun LTV/CAC modeling and attribution analysis to validate channel and experiment ROIDeliver structured insight decks that influence cross-functional strategyHelp drive a performance culture grounded in first principles thinking and economic rigor You Might Be a Fit If You…Have 3–5+ years in technical growth, product, or marketing engineering roles, ideally at a high-growth startupKnow your way around JavaScript, Python, and no-code tools (Webflow, Zapier, Retool, etc.)Have LLM familiarity (e.g., prompt engineering, LangChain, GPTs, embeddings, vector DBs) and are AI-curious by defaultObsess over the user journey and move from insight to experiment to impact fastCan model CAC, LTV, funnel conversion, and payback math with confidenceUnderstand ethical growth levers (e.g., default bias, reciprocity, anchoring) and when to apply themBalance craft and speed—you ship quickly but with an eye toward scale Your Stack Might IncludeLanguages: Python, JS/React, SQLTools: Webflow, Zapier, PostHog, Segment, BigQuery, Retool, OpenAI, Make.comGrowth Techniques: Landing page testing, onboarding flows, in-product nudges, lead scoring, auto-emailing agents, demo routing, prompt optimization What’s in It for YouA mission you can believe in—helping real people thrive through transformative AIThe ability to build and ship with velocity in a flat, high-trust, zero-politics cultureSignificant career growth opportunities into Head of Growth, Technical Product, or AI leadership rolesWork alongside some of the smartest minds in AI, product, and marketingCompetitive salary, equity, and the freedom to work how and where you thrive The ProcessWe ask candidates to commit upfront to submitting a short video interview. Then we enter this process, Introductory CallA conversation with Will Slater, Head of Marketing.Technical & Strategic Case StudyIn-person session to assess your thinking and approach.Final Culture & Fit InterviewIn-person meeting with Al to align on values, mindset, and team dynamics.

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About UsAt Hiya, we’re revolutionizing voice communication. Our mission is to modernize voice with intelligence for security and productivitySince 2015, when we introduced the first mobile caller ID and spam-blocking apps, we’ve been at the forefront of voice intelligence innovation. In 2016, we partnered with Samsung and AT&T to launch Hiya Protect, the first network-based spam-blocking solution. In 2019, we introduced Hiya Connect, a branded call SaaS platform that helps businesses reach more customers by phone.Today, our Voice Intelligence Platform supports over 500 million users globally. By using adaptive AI and audio intelligence, it delivers smarter, safer, and more productive voice calls across networks, apps, and devices. Our network & solution partners have grown to include British Telecom, EE, Virgin Media O2, Ericsson, Rogers, Bell Canada, MasMovil, Telenor, FICO, Twilio, and more.About the PositionThe Medior Backend Engineer is an Individual contributor position responsible for designing, coding and operating high performance data processing systems and backend services on the JVM platform (primarily Scala) for our phone call processing pipeline and customer facing web applications. Our ideal candidate would have the skills and desire to understand our entire stack, from our cloud platform (AWS) through data storage technologies (such as DynamoDB, Redshift) and stream processing (Kafka) all the way to Scala/Typelevel stack based components.What You’ll DoWork at a supportive and fast-growing startup with a fantastic team.Make an impact in the lives of tens of millions of consumers.Collaborate and learn from other great team members.Support in developing your skills and accelerating your careerFully own the systems developed by your team, taking part in deployment and operations (on-call rotations where applicable)Qualities that will make you successful:Experience or interest in functional programming in a typed setting;Understanding customer needs first and providing solutions primarily based on thatA desire to own design and architecture end to end;A philosophy of iteration and continuous improvement;BSc or M.S in a relevant field; 2-3+ years relevant work experience, please note, this is a medior role.Familiar with data storage- and processing systems (such as Postresql, Amazon DynamoDB, Amazon Redshift, Apache Spark);Proficient at collaborating and communicating with both local and remote team members in English and HungarianThe person in this role must embody Hiya’s key values of Serving our customers, Doing rather than observing, Improving ourselves and our business, Owning and holding ourselves accountable for success, and Leading by showing up with a point of view, engaging in open discussion, listening respectfully to others opinions and committing to decisions.The requirements listed in the job descriptions are guidelines. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable we would still love to hear from you.More DetailsWhen determining compensation, a number of factors will be considered: skills, experience, job scope, location, and competitive compensation market data.Start Date: ImmediatelyStatus: Full-timeType: (Hybrid, 2 days per week in office (Tuesday, Thursday)Location: BudapestTravel Requirements: noDepartment: EngineeringReports to: Engineering managerDirect Reports: No BenefitsPrivate Retirement/Pension programGenerali Private Health CareDonation Matching for a charity of your choice (up to $500/ year)WFH equipment stipend$1,000/year in Professional Development fundsOnline English ClassesGym membershipFlexible working model (2 days a week, Tuesdays and Thursday is required in the office. In the rest of the month you decide whether you are working from home or from the office.)This position is based in Budapest, Hungary.We are building a team with a variety of perspectives, identities, and professional experiences. We evaluate great candidates through a business lens and we strongly believe that diversity and unique perspectives make our company stronger, more dynamic, and a great place to build a career.Our team has won various awards over the last 4 years from Built-in Seattle and Seattle Business Week to #86 on Deloitte Technology Fast 500 and Forbes #1 Startup Employer. Here at Hiya, we are a people-centric company focused on helping each and every one of our employees grow both personally and professionally. We feel that creating a team culture of support and empowerment to challenge the status quo results in an energized and passionate team that is continuously challenged and passionate about the work they are doing. You'll love working here if you are looking for an innovative challenge that is disrupting an industry. Come join us!

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YOUR MISSION: We're on a mission to make creating and managing AI voice agents as easy as hiring and onboarding a human. Today, this experience is tailored for highly technical users. Tomorrow, we envision a system intuitive enough for anyone to design, launch, and iterate on powerful voice agents with minimal effort. As our Senior Product Designer, you'll be part of designing the foundation for this transformation. You'll be responsible for creating a scalable, user-friendly, and intelligent setup experience, evolving it from a complex expert interface into an accessible and delightful tool for everyone. This is an incredible opportunity to shape a product that is redefining how businesses engage with their customers through voice and chat. IN THIS ROLE YOU WILL: Design for complexity, simplify for scale: Lead the design of interfaces that serve today’s expert users, while laying the groundwork for a future where anyone can create an AI agent. Drive end-to-end product design: From research and ideation to wireframes, flows, high-fidelity UI, prototyping, and validation. Collaborate cross-functionally: Work closely with Product, Engineering, and AI teams to align on user needs, technical feasibility, and business impact. Balance technical depth with usability: Translate technical AI concepts into intuitive interaction models and visualizations. Champion UX strategy: Drive user research efforts, synthesize findings, and contribute to our long-term vision for agent creation and configuration. Prototype future thinking: Explore speculative UX for the long-term vision of "briefing" an AI agent like you would a human teammate. Our Tech stack: React/Redux, TypeScript, NodeJS, Inversify, NestJS, Lerna, Koa, Jest, Kubernetes, Docker, MongoDB, Redis    WHAT YOU BRING TO THE TABLE: Experience: 6+ years of experience designing digital products, including 3+ years working on expert tools, complex systems, or technical platforms (e.g., devtools, AI/ML platforms, enterprise SaaS). Proven track record of designing elegant, scalable solutions for power users while also making them approachable for non-experts over time. Systems Thinker: Comfortable working on multi-layered systems with multiple user roles, configuration states, and dynamic inputs. Able to zoom between high-level flows and detailed edge cases. Design Mastery: Strong interaction and visual design skills. Adept at creating clear information hierarchies and intuitive flows for highly complex domains. Proficient in Figma with a deep understanding of components, prototyping, and collaboration workflows. Technical Fluency: Comfortable working alongside engineers and product managers in technical environments. Basic understanding of how AI systems, APIs, or scripting languages operate is a plus. Research-Driven: Experience conducting or contributing to user research, usability testing, and data-informed design decisions. Education: Degree in Design, HCI, Psychology, or a related field, or equivalent professional experience. Communication and Influence: Strong communicator with experience presenting design rationale and influencing stakeholders across product, engineering, and leadership. Adaptability and Initiative: Thrives in fast-paced environments with shifting priorities. Self-directed and proactive in driving discovery and delivery processes forward. Language Skills: Excellent proficiency in English (native or bilingual level).  NICE TO HAVE: Background or interest in conversational interfaces, AI/ML, or automation tooling. Experience designing configuration tools, scripting interfaces, or workflow builders. Knowledge of voice technologies or telephony ecosystems. Experience working on design systems in a scaling team. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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Location 📍: Sydney, NSW (Hybrid)About Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce.We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration.We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you.The Role 🥳As our Lead Solutions Engineer, you’ll take on a pivotal leadership role within our Sydney-based Solutions Engineering team. You’ll guide a growing team of SEs across both pre-sales and post-sales phases - supporting enterprise clients and delivering impactful AI agent implementations.You will provide mentorship, team oversight, and technical leadership, while ensuring seamless project delivery and operational coordination. This role is ideal for someone ready to step beyond senior individual contributor work into a role that shapes team culture, scales process, and drives strategic delivery.Your impact💥Lead the day-to-day operations of the Sydney Solutions Engineering team, including project oversight, cross-functional alignment, and knowledge sharing.Support pre-sales and post-sales activities, guiding customer engagements from discovery to successful AI agent implementation.Serve as a technical and strategic mentor, ensuring consistent upskilling and alignment across the team.Onboard new team members and develop structured onboarding processes to scale our SE team effectively.Act as the go-to pulse-check for team health and delivery cadence - proactively resolving blockers, balancing workloads, and reporting operational status.Drive hands-on impact by joining key customer projects, accelerating implementations and technical success.Coordinate with leadership to help prioritize projects and improve internal tooling, processes, and delivery frameworks.Conducting weekly team check-ins and fostering a culture of support and excellence.What We’re Looking For 🧠5+ years in solutions engineering, technical consulting, or forward-deployed engineering - especially in automation, AI, or SaaS environments.Proven leadership experience, including team mentorship, reporting, and operational oversight.Expertise in AI agents, automation platforms, or workflow orchestration. Experience in both pre-sales and post-sales contexts is highly valued.Strong technical fluency with Python, APIs, and LLM prompting - you can handle implementations hands-on and troubleshoot efficiently.A collaborative, customer-first mindset, with exceptional communication and problem-solving abilities.Ability to translate complex technical concepts into strategic value for business stakeholders.Comfort working in a fast-paced, high-growth startup environment with rapidly shifting priorities and team dynamics.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits💥🌴 4 Weeks Annual Leave – Take time to recharge with 20 days of paid vacation📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome!🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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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 TeamThe Platform Engineering team at Decagon designs the proprietary orchestration layer that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. Decagon’s leading customer support agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleJoin Decagon's Security team to protect our AI-powered customer experience agents that handle millions of real customer interactions daily. You'll develop detection systems that identify threats without disrupting the natural conversation flow that makes our AI agents effective. This role focuses on data pipelines, LLM-powered detection query writing, and automated "Watchtower" components of our security stack. We work with some of the leading vendors in the security data space, and you’ll take ownership of the system to build an industry-leading DNR team. Decagon’s team is some of the best in the industry, so you’ll work alongside a skilled and enthusiastic team.In this role, you willCollaborate with engineering to build low-latency systems that detect prompt injection, jailbreak attempts, and social engineering attacks against customer experience agents without introducing conversation delaysDevelop ML models that identify surprising or unexpected access patterns in the productCreate an incident response system that analyzes prior interactions: piece together what occurred, what data was accessed, and where that information may have goneBuild APIs and webhooks that allow enterprise customers to integrate our security insights into their existing SOC and incident response workflowsContinuously research and model new threat patterns specific to customer service AI, including account takeover attempts and information extraction attacksYour background looks something like this4+ years building production security or data pipeline systemsAdvanced proficiency in Python with experience in data pipelines, automation tooling, and code review for production web applicationsTrack record of building detection systems that balance security with user experienceExperience with real-time data processing using Kafka, Pulsar, or similar systems for analyzing data streamsPrior experience with tools such as Splunk, Panther, RunReveal, or othersExperience with anomaly detection, sequence modeling, and statistical analysis of user behavior patternsExperience with SOC 2, ISO 27001, GDPR, and other enterprise security requirementsEven betterProven experience leveraging LLMs or AI tooling for efficiency improvementsStrong understanding of customer service workflows and business impact of security measuresSkilled and motivated to take advantage of advanced reasoning and software development tools such as Cursor, Claude Code, and Gemini for personal productivity improvements and design leverageBenefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $300K + Offers Equity

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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 TeamThe Platform Engineering team at Decagon designs the proprietary orchestration layer that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. Decagon’s leading customer support agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleDesign and implement the secure infrastructure that powers Decagon AI's customer experience platform. You'll build the foundational systems that support our AI agents' security framework while ensuring enterprise-grade reliability and scalability. This role focuses on GCP architecture improvements and building security infrastructure that enables our software-first approach to protecting conversational AI. Decagon’s team is some of the best in the industry, so you’ll work alongside a skilled and enthusiastic team.In this role, you willDesign and implement secure, multi-tenant infrastructure that isolates customer data while enabling efficient AI model servingBuild Infrastructure as Code systems for deploying and managing security tools across development and production environmentsEnsure our security infrastructure maintains 99.99% uptime to protect customer interactions without service disruptionOptimize security systems to handle millions of concurrent conversations while maintaining sub-100ms response timesImplement systems that support SOC 2, ISO 27001, and other enterprise compliance requirementsDesign and maintain backup systems and recovery procedures for security infrastructureYour background looks something like this5+ years building production infrastructure with security focus, preferably for SaaS or enterprise softwareDeep knowledge of Google Cloud Platform architecture, including compute, networking, security, and managed servicesAdvanced proficiency with Terraform, Ansible, or similar tools for automated infrastructure managementExperience with secure container deployment, service mesh architecture, and Kubernetes security best practicesProven experience building infrastructure that handles millions of requests per day with strict latency requirementsEven betterTrack record of building infrastructure that supports rapid business growth and customer acquisitionStrong understanding of the operational challenges of securing customer-facing AI systemsA high degree of comfort digging into systems with deep technology stacks using any tool necessaryBenefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $300K + Offers Equity

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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 TeamThe Platform Engineering team at Decagon designs the proprietary orchestration layer that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email and SMS. Decagon’s leading customer support agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleLead the technical vision for securing Decagon AI's customer experience platform that powers AI agents for enterprise customers. You'll collaborate with our security leaders to architect our comprehensive security framework that protects against modern, AI-enabled threats while maintaining an enterprise-ready security and compliance posture. This role offers the opportunity to apply in-depth AI security expertise and develop enterprise software architecture. Decagon’s team is some of the best in the industry, so you’ll work alongside a skilled and enthusiastic team.In this role, you willDesign and implement our complete security framework covering customer-facing products, infrastructure security, and enterprise integration pointsWork with AI/ML teams to embed security into model training, fine-tuning, and deployment processes to empower our research teams to innovate safelyDefine security standards and practices for enterprise customers, including tenant isolation, data protection, and compliance frameworksLead security incidents affecting operations, or ensure rapid resolution while maintaining service availabilityMentor security engineers and broader the engineering organization while establishing engineering practices that scale with rapid team growthYour background looks something like thisHave 7+ years of industry experience in security engineeringExperience designing secure, multi-tenant systems that handle millions of concurrent conversationsKnowledge of Google Cloud security architecture, including VPC security, IAM, and enterprise-grade deployment patternsProven track record building security systems that meet enterprise expectations (SIEM, Vulnerability Management, IAM, compliance platforms)Experience with SOC 2, ISO 27001, GDPR, and other enterprise security requirementsEven betterPrior experience working with multi-modal modelsDeep knowledge of, fine-tuning security, model poisoning, and adversarial attacks specific to conversational AISkilled and motivated to take advantage of advanced reasoning and software development tools such as Cursor, Claude Code, and Gemini for personal productivity improvements and design leverage.Benefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$250K – $350K + Offers Equity

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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 doAs one of our early legal hires, you will have the opportunity to join a small but high-impact legal team at an early stage. We are looking for someone who has deep expertise in commercial contracts, but also someone who is also eager to broaden their scope across IP, regulatory, and product. You will thrive in dynamic environments, enjoy tackling challenges beyond your comfort zone, and be excited to contribute across the business. In return, we’ll provide the support and opportunities you need to grow and excel as a lawyer. You’ll be part of a legal team that is highly respected within both the company and the broader legal industry—committed to excellence, collaboration, and making a meaningful impact.Commercial Contracting: Structure, negotiate and advise on all commercial contracts, including SaaS subscription agreements, technology licenses, professional services agreements, channel partner agreement, vendor agreements and NDAs. Commercial privacy and security contracting experience (e.g., DPAs, BAAs, security agreements) is a plus.Operational Excellence: Help build out our commercial function to be best in class. We aim to be the fastest and strongest, where the legal team is the differentiator in the contract lifecycle. You will be developing templates, playbooks, and workflows to drive efficiency and scalability.Expertise: Deep knowledge of practice areas that underpin the commercial practice, including contract law, IP and privacy. You will also want to work in AI and understand the nuances of law as it relates to AI, including the evolving regulatory frameworks. You will be expected to advise broadly on all contractual issues and be comfortable doing so.Teamwork: A team player first and foremost. Sierra is a unique place to work, with a strong sense of togetherness, and the legal team is no exception. You will look out for your colleagues, be accustomed to sharing and helping the team succeed. As the team grows, you will train and mentor more junior members.Judgement: Understand risk in the context of a hyperscaling business, have sound judgement and be strategic in your decision making. You will not be afraid to make judgement calls, and you will be empowered to do so.Approach: A strong work ethic with an eye for detail. You will strive for perfection, and expect that of others.Collaborate: Collaborate cross-functionally with Sales, Operations, and Agent Development teams to support revenue growth and strategic business initiatives.What you’ll bring6+ years of legal experience, with a combination of both large law firm and in-house experience at a tech company. A strong background in negotiating and managing complex commercial contracts, preferably in SaaS, AI, or enterprise software.Strong communication skills (verbal and written) and the ability to partner with both legal and non-legal stakeholders.A proactive mindset and the ability to navigate ambiguity in a fast-paced, dynamic startup environment.Even better…Experience of privacy/regulatory frameworks and can advise on data processing agreements and security-related contract provisions.A passion for AI, with a deep understanding of AI products, LLMs and the related legal issues.Significant law firm experience at a top-tier, internationally recognized law firm.Experience working at a high-growth startup and operating with a sense of ownership.Industry specific knowledge in any of the following: Financial Services, Healthcare, Telecoms, Insurance and/or Consumer.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 xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Engineer & Researcher - Reasoning Post-training at xAI, you will drive the evolution of our AI models' reasoning capabilities through inventive post-training approaches, embracing a broad scope that spans from conceptual exploration to practical implementation. This role demands a blend of technical depth and boundless creativity, where you'll refine pre-trained models to excel in logical inference, multi-step problem-solving, and adaptive thinking—without delving into initial training phases. By devising unconventional techniques and fostering creative breakthroughs, you'll help our AI systems tackle complex, real-world challenges with unprecedented intelligence and reliability, collaborating across teams to turn bold ideas into transformative enhancements. Focus Post-Training Optimization: Apply and innovate on post-training methods like fine-tuning, reinforcement learning variants, or data augmentation to sharpen reasoning skills, ensuring models deliver more accurate, coherent, and insightful outputs. Creative Methodology Design: Invent novel strategies for enhancing reasoning, such as custom prompting frameworks, synthetic reasoning datasets, or hybrid techniques that push the limits of model cognition through out-of-the-box thinking. Problem-Solving Exploration: Tackle broad reasoning challenges creatively, from debugging logical inconsistencies to engineering solutions for edge-case scenarios, using iterative experimentation to uncover hidden potential in models. Evaluation and Iteration: Develop creative benchmarks and metrics to assess post-training impacts on reasoning, enabling rapid cycles of refinement that align with evolving user needs and technological frontiers. Collaborative Innovation: Partner with diverse teams to integrate post-training advancements into our AI ecosystem, leveraging your creativity to inspire cross-pollination of ideas and accelerate overall model intelligence. Ideal Experience Post-Training Specialization: Extensive hands-on experience with post-training techniques (e.g., RLHF, DPO, or alignment methods) focused on reasoning improvements, with a portfolio of successful model enhancements. Creative Problem-Solving Prowess: Demonstrated ingenuity in solving ambiguous AI challenges, evidenced by innovative projects, research contributions, or unconventional approaches that yielded breakthroughs. Broad Technical Foundation: Proficiency in AI engineering tools (e.g., Python, PyTorch) and a solid grasp of model architectures, enabling you to navigate wide-ranging tasks from ideation to deployment. Research Versatility: Background in AI research with emphasis on reasoning, logic, or cognitive science, including publications or experiments that highlight creative applications in post-training contexts. Adaptable Expertise: 3+ years in multifaceted AI roles at cutting-edge organizations, where you've thrived in broad scopes by balancing creativity with rigorous execution to deliver high-impact results. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 RoleWe are seeking a systems-minded engineer to design, prototype, and build the internal tooling, data infrastructure, and automated workflows that ensure User Operations remains seamlessly aligned with Product and Engineering, even as our product surface rapidly expands. This is a technical IC role focused on designing and shipping robust, scalable software—not managing projects or creating slide decks. You'll create systems that power feedback loops, automate workflows, connect APIs, and deliver actionable insights, enabling our teams to move at the same pace as our innovative product organization.This role is based in San Francisco, California.In this role, you will:Coordinate product launches across internal User Operations teams and external partners to guarantee seamless execution and support readiness.Architect launch‑readiness systems that streamline formerly manual processes, replacing ad‑hoc docs and meetings with automated workflows, dashboards, and alerting to build for scale.Develop and implement scalable feedback loops between support, product, and engineering so customer insights are continuously integrated into product strategy.Prototype quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering.Collaborate cross‑functionally with Product, Engineering, Marketing, Legal, and Operations to align on launch goals, timelines, and readiness metrics.Identify risks and challenges during rollouts, proposing solutions that safeguard customer experience and service levels.Continuously automate, replacing every repetitive touchpoint with scripts, agents, or LLM‑powered flows.You might thrive in this role if you:Have 4+ years experience in project launch coordination, especially within a customer support environment (internal and/or external).Write production-grade code in Python, SQL, or similar languages.Enjoy developing internal tools, workflow engines, and lightweight platforms.Understand and operationalize GTM workflows through thoughtful systems design.Are comfortable navigating ambiguity and collaborating cross-functionally.Prioritize exceptional user experiences for internal systems just as highly as customer-facing products.

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We are seeking a highly motivated Mechanical Design Engineer with a strong background in electric motor component design. You will be part of a fast-paced, cross-functional team building compact, high-performance actuators for a new class of humanoid robots. This role is ideal for an engineer with a few years of industry experience who thrives in a hands-on environment and is passionate about precision mechanical design, material selection, and rotor dynamics. Responsibilities: Own the mechanical design of motor subcomponents including rotor and stator laminations, shaft assemblies, and magnet retention structures Design, release, and iterate complex lamination stacks for high-efficiency, high-speed permanent magnet motors Collaborate closely with the electromagnetic, thermal, and control teams to ensure mechanical solutions meet overall system requirements Work on magnet selection and adhesive strategies for permanent magnet rotors, with a focus on structural integrity and manufacturability Perform structural FEA for rotor stress and rotor dynamics (burst speed, critical speed, balancing strategy) Drive motor CAD in CATIA and manage BOMs and drawing packages from prototype to production Oversee and support motor rotor balancing (static and dynamic) Interface with vendors for lamination, shaft, and magnet sourcing and fabrication Requirements:  Bachelor’s degree in Mechanical Engineering 2+ years of experience in mechanical design, preferably involving electric motors or rotating machinery Strong fundamentals in stress analysis, material selection, and tolerance stack-ups Experience designing for high-speed rotating systems, including consideration of burst strength and rotor balancing Proficiency in CAD tools, preferably CATIA V5 or V6 Knowledge of adhesives, magnet bonding, and rotor manufacturing best practices Strong communication skills and a team-first mindset Bonus Qualifications:  Master’s degree in Mechanical Engineering with a focus on dynamics, materials, or electromechanical systems Prior experience designing SPM (surface permanent magnet) rotors and stators Hands-on experience with motor prototyping and test setups Familiarity with FEA tools like Ansys Mechanical or Abaqus Understanding of manufacturing processes such as lamination stamping, shrink fits, and adhesive curing The US base salary range for this full-time position is between $130,000 and $160,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. The Quality Technician will verify that incoming and in-process material meets Figure AI drawings and specifications. They will be responsible for the inspection of material and the coordination of MRB activities, including data input, reporting, and logistics associated with material dispositions. This person will also administer the calibration system, ensuring that measuring and test equipment is within its calibration due date. The Quality Technician will work closely with Quality Engineering to provide reports, charts, graphs, etc., to monitor and improve product quality. The successful candidate must have the ability to meet tight deadlines, possess strong interpersonal and communication skills, be detail-oriented, and be able to work independently. The candidate must establish and maintain a professional working relationship with line supervisors, operators, and other shop floor stakeholders. Responsibilities:  Inspection/verification of in-process Figure AI-built material Manage nonconforming material through the MRB process to ensure that nonconforming material is identified, appropriately dispositioned, tracked, and reported Take the lead on initiating containment activities for production quality issues Conduct root cause investigation and resolution of daily production and scrap material quality issues Provide data input and output reports to assist in quality improvement activities Coordinate calibration activities for go/no-go gauges and other quality tools used in the production process Provide mechanical measurement support to identify or solve potential material issues for production parts Actively support getting parts measured for FAI purposes Requirements:  3–5 years of experience in a Manufacturing Quality Control environment Knowledge of ISO 9001:2000 or TS16949 is a plus Ability to read and interpret basic mechanical drawings Able to use basic measurement tools such as pin gauges, bore gauges, calipers, and micrometers Proficient in Microsoft Office or Google Suite Must have command of the English language, both written and verbal The US base salary range for this full-time position is between $35 - $50/hr.  The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.