The AI job market moves fast. We keep up so you don't have to.

false

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 Team The Agent Engineering team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues. About the Role As an intern on Decagon’s Agent Software Engineering team, you’ll be part of a pioneering group shaping the future of intelligent agents. You’ll contribute directly to production-ready initiatives that address real team needs, gaining hands-on experience and leaving your mark on meaningful, high-visibility work. This internship will take place from May—September (based on your summer schedule) and you will need to be able to work out of the San Francisco office during this time. In this role, you willDesign and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionIdentify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsExperiment with and run evaluations on the latest text and voice models, then integrate them at scale with large enterprise-grade customers Your background looks something like thisYou will graduate by summer 2027 with a degree in Computer Science or a related technical fieldYou have experience from previous software engineering internships You write amazing code, fastYou are excited to thrive in a fast-paced environment, continuously learn, and sharpen your skills Even betterPrior experience working with multi-modal modelsCompensation$2,400 per week

true

About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 3 to 5 years of professional experience  Fluency in English Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location:  This role is remote #LI-Remote  

false

Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. The Opportunity: Unlocking the Future of Robotics The future of robotics—from autonomous logistics and precision agriculture to surgical assistance and human-robot collaboration—is fundamentally bottlenecked by the availability of high-quality, high-fidelity training data. The physical world is infinitely complex, and capturing its nuance is the single greatest challenge holding back progress. To solve this, Labelbox is building an advanced robotics lab and software stack designed to generate pristine, structured data for the world's leading robotics companies.  We are seeking a visionary and operationally-driven leader to be the founding head of this critical initiative. As the Head of Robotics Data, you will be the single-threaded owner responsible for taking this program from its early stages to a scaled, potentially 24/7 operation. You will sit at the intersection of hardware engineering, software development, complex operations, and deep customer partnership, building the Robotics lab that powers the next generation of intelligent machines. Your Impact Strategic & Operational Leadership: Own the end-to-end vision and strategy for the Roboticslab. You will build and lead a high-performing, multidisciplinary team of engineers, operators, and technicians, fostering a culture of excellence, innovation, and urgency. Build a World-Class Data Factory: Architect, implement, and scale a robust 24/7 operational framework for data generation. You will develop rigorous processes, KPIs, monitoring, and automation to ensure unparalleled uptime, efficiency, and data integrity. Your goal is to build a machine that builds the data. Customer Obsession & Partnership: Serve as the primary technical and operational partner for our strategic robotics customers. You will work hand-in-hand with their engineering leaders to deeply understand their data requirements, quality bars, and cost constraints, translating them into actionable production targets and ensuring we consistently exceed their expectations. Technical Vision & Roadmap: Drive the technical roadmap across both hardware (robotics hardware, sensors, compute infrastructure) and software (data acquisition pipelines, processing workflows, quality control tools). You will partner with our core engineering teams to integrate this capability seamlessly into the Labelbox platform. Scale from 1 to N: You will be responsible for scaling every aspect of the program, from physical facility expansion and hardware procurement to software automation and global workforce planning. You will create the playbook that allows us to replicate and expand this capability to meet ever-growing customer demand. What You Bring A minimum of 10+ years of experience in a technical field, with at least 5+ years in a senior leadership role managing engineering, product, or operational teams. Proven track record of scaling complex, capital-intensive, 24/7 operations that involve a tight coupling of hardware, software, and human processes (e.g., manufacturing, data centers, advanced R&D labs, logistics/fulfillment). Deep expertise in the robotics domain. You should be comfortable discussing the intricacies of sensor modalities (LiDAR, stereo cameras, IMUs), data formats, and robotics software stacks (e.g., ROS). Demonstrated ability to own a technical and product roadmap, making difficult trade-offs between competing priorities in a fast-paced environment. Exceptional customer-facing skills with experience acting as a trusted technical advisor to external partners and executive stakeholders. A "first principles" thinker who is equally comfortable debugging a hardware issue on the floor, writing a strategic 3-year plan, or presenting to our executive team. BS or MS in Robotics, Mechanical Engineering, Computer Science, or a related technical field. Bonus Points Direct experience building or managing data collection/generation systems for machine learning. Experience in a specific robotics vertical such as autonomous vehicles, logistics automation, or manufacturing. Familiarity with the machine learning data lifecycle, including annotation, data quality, and model evaluation. If you are a builder who is passionate about robotics and wants to solve one of the most significant challenges in the AI industry today, we would love to hear from you.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$230,000—$280,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

true

About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business.Job Description:Articul8 AI is seeking an exceptional Senior/Staff AI Researcher to join us in shaping the future of Generative Artificial Intelligence (GenAI). As a member of our Applied Research team, you will be responsible for conducting cutting-edge research to advance the capabilities of our AI systems. Your role will involve designing, implementing, and evaluating novel approaches to improve our GenAI models, working at the intersection of GenAI research and product development.Responsibilities:Serve as the subject matter expert in various domains of GenAI research and development, including:Data pipelines: Design and optimize data processing workflows for large-scale model trainingTraining methodologies: Implement pre-training, mid-training, and post-training strategies and optimization techniquesReinforcement learning: Develop RL algorithms for GenAI and with applications in decision-making, personalization, and several other tasksMultimodal AI: Create systems that effectively process and generate across text, image, audio, and video modalitiesPersonalization: Design and implement tailored GenAI experiences by understanding user behavior, preferences, and contexts to deliver customized content and recommendationsKnowledge representation and retrieval: Develop techniques for effectively representation of information and knowledge elicitation, as well as search and retrieval.Play a technical leadership role in designing, developing, and scaling novel algorithms and models by taking them from research prototypes to production-ready systems that deliver real-world impact.Partner with cross-functional teams to integrate cutting-edge research findings into products and maintain our technological leadership in the market.Monitor and analyze emerging trends in generative AI and related fields, sharing valuable research contributions through publications at prestigious conferences and journals.Required Qualifications:Education: PhD/MSc degree in Computer Science, Machine Learning (ML), or a related field.Professional experience: 5+ years of experience as an AI researcher with a track record of applied research and/or product development (out of which, at least 2+ years should be on actively developing GenAI technologies).Core technical skills:Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.A strong background in parallel/distributed computing on the cloud.Machine learning, deep learning, probability theory and statistics, natural language processing, computer vision, data wrangling and preparation, model evaluation and interpretation.Programming Skills: Proficiency in programming languages such as Python and experience working with version control systems (e.g., Git) and collaborating on code repositories is crucial.Preferred Qualifications:Experience with cloud computing platforms such as AWS, Azure, or GCP.Proven track record of publications in top-tier conferences and journals.Professional Attributes:Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.Collaboration and Communication: proficiency in working within cross-functional teams - communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team.

false

What is Automat?Automat was founded by a diverse group of creative technologists from teams like Google Creative Lab, and Samsung’s innovation Think Tank Team. We envision a future where intelligent agents streamline business operations - and one day, run their own enterprises. We're redefining Enterprise AI Agents (Robotic Process Automation) and Intelligent Document Processing (IDP), developing the necessary tooling and infrastructure to incorporate the advancements of AI into practical, real-world applications.We value curiosity, collaboration, and impact above rigid requirements. If you're excited about AI and automation, thrive in flexible, creative environments, and want to work on meaningful, pioneering projects - this role is for you.We encourage anyone to apply - we think talent, passion and your unique perspective can outweigh years of experience. We are really looking for someone who can hit the ground running on day one and contribute at a rapid pace, while also being someone from whom we ourselves can learn from.The RoleWe're looking for a product minded Full Stack Software Engineer who thrives at the intersection of product, engineering, and experimentation. We’re a small talented team still in the early days, and your contributions will go beyond just code. You’ll have the opportunity to actively shape technical solutions, influence product direction, and contribute meaningfully to all aspects of our engineering culture.In this role, you'll collaborate closely with forward-deployed engineers as they support complex customer deployments, all while developing the scalable and robust foundational product which makes their work possible. You’re perfect for this role if you appreciate an elegant balance between UX excellence and infrastructural scalability.What You'll Do:Collaborate with our forward deploy team to understand how customers interact with Automat’s platform today, and use those learnings to bolster our flagship workflow management product.Build interfaces that use cutting-edge computer use models in real world applications.Develop beautiful and intuitive UX interfaces which abstract away complex business automation processes and create a seamless experience for non-technical users and engineers alikeInfluence our engineering practices, shape product direction, and contribute to building a world class company culture.What drives youCuriosity, creativity, and a relentless desire to learn and adapt to changing technologiesBuilding apps that bring AI to life in meaningful waysWorking in fast-moving, collaborative teams made up of engineers with diverse backgroundsExcitement about the power of rapidly developing with AI tools, with a healthy skepticism for their veracityWhat’s in your toolboxHacker mindset - you know when to ship out functional v0 by any means necessary and don’t pixel peep for no reasonProficiency in Python and TypescriptExperience building with modern web frameworks (Next.js, Svelte kit, React) and extensive experience working with REST APIsRobust background building complex architectures from the ground up, ranging from hacked together prototypes to scalable enterprise solutions.Experience using AI tools effectively (e.g. Cursor, Windsurf, lovable, etc.)What we are looking forTop notch communication and collaboration skillsComfort navigating ambiguity and wearing multiple hatsPassion for creating intuitive, user-friendly experiencesProactive mindset and high initiative, with a bias toward actionAn intrinsic desire to leave things better than you found themExperience as an IC in startups or other dynamic, high-growth setting

false

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. Our Creator team is a group of physically capable individuals who are at the forefront of our operations, collecting new data to train Helix, our AI system, through wearing sensor hardware. They collect training data by performing specific physical tasks, review and grade the data they collect, and communicate key issues to / process improvements. We are looking for a Data Creator Manager to run our daily data collection operations for scaling Helix. Responsibilities: Build, train and lead Figure’s Creator team, providing direction, guidance, and support to ensure the achievement of data collection goals and targets. Manage day-to-day frontline operations, ensuring smooth workflows and high uptime. Oversee management of sensor hardware inventory and data uploading. Accountable for data collection performance metrics.  Coordinate to drive implementation of new data collection procedures and maintain documentation for procedures. Develop onboarding and ongoing training documentation for new hires. Train and mentor team members to ensure they are equipped with the necessary skills and knowledge to perform their roles effectively.  May involve standing for long periods, supervising shifts, and responding to urgent operational issues. Elevate opportunities for process improvement and work to define creative solutions to improve KPIs. Requirements:  5+ years experience leading a highly skilled team in a fast paced environment, including hiring, performance managing, and mentoring junior team members. Excellent problem-solving and decision-making abilities. Experience operating and troubleshooting early-stage technologies. Excellent communication skills especially using data.  Able to work well under pressure while managing competing, time-sensitive demands. Proficiency in Google Workspace (e.g., Sheets) and operational management tools. Bonus Qualifications: Experience with robotics or AI data collection. 10+ years experience leading skilled teams operating complex technology. A passion for helping scale the deployment of learning humanoid robots. The US base salary range for this full-time position is between $140,000 - $180,000 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.

true

About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs an Implementation Manager - Strategic Accounts at Abridge, you will play a critical role in ensuring the successful deployment and implementation of Abridge products and services with our customers. You will be the primary point of contact for our valued partners and you will be the driving force behind seamless project execution. You’ll use your exceptional communication skills as you work closely with internal and external stakeholders to deliver projects on time, while exceeding the needs and expectations of our users. Ideally, you thrive in a startup environment, specifically with a culture that’s built on seeing obstacles as opportunities, having a bias toward execution, being a little nerdy and perpetually curious, and helping teammates succeed. What You'll DoLead customer implementations and serve as the primary point of contact for Abridge's partners during their initial deployments. Be the person who instills confidence + trust in our partners and team, drives on-time implementations with high NPS, and ensures our pilots convert to full enterprise partnerships.Own the creation, coordination, and execution of project plans, in collaboration with internal and external cross-functional teams.Accountable for leading through each of the project phases, including kickoffs, technical configuration, testing, clinician training, go-live, and post-live stabilization.Identify and manage project risks and issues, and develop contingency plans as needed.Set the standard for what incredible communication looks like. Communicate project progress and issues to internal and external stakeholders in a timely and transparent manner.Develop and execute against comprehensive testing plans with our most strategic partners, including tracking all issues, triaging, and driving towards daily testing goals.Collaborate with support and operational management to identify and implement areas for process and tool improvements in a dynamic and growing environment.Participate in the creation of repeatable processes that will scale with the growing number of concurrent implementations our team will need to support.What You'll BringHave a track record of driving successful healthcare technology implementation projects from initiation to completion.Excel at communication and can synthesize information in a concise way.Are extremely organized and detail oriented. You’re able to manage multiple priorities at once, while maintaining attention to detail and quality.Can work with speed and are results driven. You seek continuous process improvement, driven by efficiency. Your role will involve rapid decision-making, quick execution, and maintaining an unwavering commitment to precision and quality in every aspect of implementation.Build strong relationships with various stakeholders at our partner sites, to ensure a long lasting partnership. Have the ability to smell smoke and escalate early, with proposed solutions.Are creative and scrappy with strong problem solving skills, tactful conflict resolution skills, and a bias to action.Have 3+ years of experience in project management, with a focus on software deployment and implementation at B2B companies.Experience implementing electronic record systems and leading through build and testing phases. (Epic is a definite plus.) Bonus points if...Familiarity with systems requiring strict adherence to privacy and security protocols.Knowledge of tiered support organizations and escalation protocols.***This role requires up to 20% travel******This role must be based in the Pacific time zone*** We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

false

About HappyrobotHappyRobot is a platform to build and deploy AI workers that automate communication. See a demoOur AI workers connect to any system or data source to handle phone calls, email, messages…We target the logistics industry which relies heavily on communication to book, check on, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.We’re thrilled to share that with our $44M Series B, HappyRobot has now raised a total of $62M — backed by leading investors who believe in our mission and vision for the future.We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great—ready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment.About the RoleBuild foundational data products, dashboards and tools to enable self-serve analytics to scale across the company.Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company.Build and maintain robust data pipelines and models to ensure data quality.Partner with Product, Engineering, and Design teams to inform decisions.Translate complex data into clear, actionable insights for product teams.Love working with data. Love making product better. Love finding the story behind the numbers.ResponsibilitiesDefine, build, and maintain product metrics, dashboards, and pipelines.Write SQL and Python code to extract, transform, and analyze data.Design and run experiments (A/B tests) to support product development.Proactively explore data to identify product opportunities and insights.Collaborate with cross-functional teams to ensure data-driven decisions.Ensure data quality, reliability, and documentation across analytics efforts.Must Have3+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).Advanced analytics experience: segmentation and cohort analysis.Proficiency in Python for data analysis and modeling.Excellent communication skills: able to explain complex data insights clearly.Curious, collaborative, and driven to make an impact in a fast-paced environment.Nice to HaveExperience in B2B SaaS or AI/ML products.Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).Exposure to machine learning concepts or AI-powered systems.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for double-digit ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits - Healthcare, dental, vision coverage.Work With the Best - Join a world-class team of engineers and builders.Our Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

false

About Anyscale:At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.About the role:The ML Developer Experience team is responsible for creating the suite of tools and services that enable users to create production quality applications using Ray. The product is the user’s primary interface into the world of Anyscale and by building a polished, stable, and well-designed product, we are able to enable a magical developer experience for our users. This team provides the interface for administering Anyscale components including Anyscale workspaces, production and development tools, ML Ops tools and integrations, and more. Beyond the user-facing features, engineers help build out critical pieces of infrastructure and architecture needed to power our platform at scale.With a taste for good products, a willingness to work with and understand the user base, and technical talent to build high quality software, the engineers can help build a delightful experience for our users from new developers learning to use Ray to businesses powering their products on Anyscale.A snapshot of projects you can work on:Full stack work on Anyscale workspaces, debugging and dependency management on AnyscaleDevelopment of new ML Ops tooling and capabilities, like dataset management, experiment and lineage tracking, etc.Lead the development of the Anyscale SDK, authentication, etc.We’d Love to hear from you if you have:A solid background in algorithms, data structures, and system design.Experience working with modern machine learning tooling, including PyTorch, MLFlow, data catalogs, etc.At least 5+ year of relevant work experienceAs part of this role you will:Develop a next-gen ML Ops platform and development tooling centered around RayBuild tools and frameworks for managing the AI development lifecycle from data preparation to training to production servingBonus points if you have:Experience in building and maintaining open-source projects.Experience in building and operating machine learning infrastructure in production.Experience in building highly available serving systems.Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

true

Director of Engineering - (US/Canada), Remote Role Overview As the Director of Engineering, you will report directly to the Chief Technology Officer (CTO) and be responsible for driving the technical strategy, leading engineering teams, and ensuring the successful delivery of AI-powered solutions. You will collaborate with cross-functional teams, including Product, Research, Applied, and Operations, to ensure innovation and execution at the highest level. You will play a pivotal role in defining technical strategy, scaling our AI infrastructure, optimizing performance, and fostering a culture of technical excellence. Key Responsibilities Define and execute the engineering roadmap aligned with the company’s AI vision and business objectives. Hands-on leader who is not afraid to write code and debug problems with the team Lead, mentor, and scale high-performing engineering teams across backend, frontend, Inference, and API development. Oversee the design, development, and deployment of scalable, reliable, and secure full-stack applications and APIs. Collaborate with Product, Research, Applied, and Sales teams to translate AI innovations into market-ready solutions, with proven experience shipping complex products on tight timelines. Ensure best practices in software development, architecture, cloud infrastructure, security, and observability. Drive technical excellence through modern development methodologies, CI/CD pipelines, and effective DevOps/MLOps practices. Establish and track key performance indicators to measure engineering efficiency, product reliability, and platform performance. Maintain awareness of emerging technologies and industry trends across AI, web, and API development to drive continuous innovation. Partner with leadership to define technical hiring strategies and foster a strong, collaborative engineering culture. Work closely with the CTO to align engineering execution with overall technology and business strategy. Qualifications 10+ years of experience in software engineering, with at least 5 years in a leadership role at a high-growth technology, AI, or deep-tech company. Proven track record of building and scaling engineering teams responsible for backend, frontend, and API platforms. Strong expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and modern web architectures. Experience in building and owning full stack products using programming languages/frameworks such as Go, Typescript, Java, or Python. Familiarity with MLOps, data infrastructure, and deploying AI models in production environments. Strong understanding of application security, compliance, and ethical technology principles. Exceptional leadership, communication, and cross-functional collaboration skills. Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, AI, or a related field. Preferred Experience in a high-growth startup environment. Knowledge of AI regulations, data privacy laws, and ethical technology frameworks. Prior experience running Gen AI models or applications in production. Why Join Us? Opportunity to lead and shape engineering excellence in a dynamic, high-impact environment. Work with a talented team of engineers, AI researchers, and industry experts. Competitive salary, equity options, and comprehensive benefits. A culture that values innovation, collaboration, and continuous learning. If you are a passionate engineering leader eager to build world-class backend, frontend, and API platforms, we’d love to hear from you!

false

Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for AI Prompt Engineers to help us reach $XXM ARR in the next 9 months. As a founding Prompt Engineer at Magical, you will play a critical role in bridging the gap between our cutting-edge AI automation platform and our customers’ needs. You’ll work directly with customers, helping them deploy, integrate, and optimize Magical’s solutions to drive business value. This role requires a blend of technical knowledge, problem-solving, customer engagement, and product customization to ensure the customer’s seamless adoption, success, and expansion over time.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.What You’ll DoBuild custom workflow configurations via AI prompting and internal tools to extend Magical’s capabilities for specific customer use cases.Provide technical guidance and best practices to customers, ensuring smooth onboarding and adoption.Build relationships with customers to understand their workflow challenges and design tailored AI-powered automation solutions using Magical’s platform.Deploy, configure, and integrate Magical’s automation technology with customer environments, including CRMs, EHRs and loan origination systems.Act as the technical liaison between customers and Magical’s product and engineering teams, capturing feedback and driving improvements.Troubleshoot and resolve technical issues related to deployments, integrations, and performance optimization.Be a vocal member, helping the engineering team build internal tools and documentation to streamline future customer implementations.Identify opportunities for customers to expand their use of Magical’s platform, upselling additional solutions and driving account growth.Who You Are3+ years of experience in engineering, solutions engineering, QA engineering, or similar technical backgroundDeep AI prompting proficiencyA top project manager. You can wrangle something fuzzy into a project plan and you’ll do whatever is needed to make it happenFamiliarity with business process automation, workflow optimization, or AI-driven solutions is a plusAbility to manage multiple projects, engage with senior stakeholders, and communicate technical concepts in a clear and structured manner.Willingness and ability to travel to customer sites as required for setup and implementation.A self-starter with a strong ability to adapt, learn quickly, and thrive in a fast-paced, startup environment.Who We AreAt Magical, we empower organizations to automate the complex, manual workflows that are essential to their operations. These workflows are the backbone of industries that keep the world running, yet many organizations remain burdened by resource constraints and outdated manual processes, hindering their efficiency and innovation.Magical leverages AI and a purpose-built workflow automation platform to seamlessly transform long-form, multi-system workflows into fully autonomous processes. We enable teams to scale operations, reduce costs, and focus on what matters most.Backed by leading investors, including Coatue, Greylock, Lightspeed and Bain Capital Ventures, Magical is reimagining the future of work by equipping teams with the tools to unlock hidden inefficiencies, automate with precision and achieve unprecedented operational scale.

false

Magical is redefining how work gets done.Our agentic AI platform brings "AI employees" into the workplace to take over the repetitive, soul-crushing workflows that slow teams down. The result: organizations move faster, with sharper focus, and deliver better outcomes where it matters most, like improving patient care.The shift to agentic work is inevitable, and we’re leading it. We've scaled from $0 -> $XM ARR in 3 months with our agentic product, and we're looking for AI Prompt Engineers to help us reach $XXM ARR in the next 9 months. As a founding Prompt Engineer at Magical, you will play a critical role in bridging the gap between our cutting-edge AI automation platform and our customers’ needs. You’ll work directly with customers, helping them deploy, integrate, and optimize Magical’s solutions to drive business value. This role requires a blend of technical knowledge, problem-solving, customer engagement, and product customization to ensure the customer’s seamless adoption, success, and expansion over time.We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, and Lightspeed. The runway is long. The ambition is high. And the market is wide open.What You’ll DoBuild custom workflow configurations via AI prompting and internal tools to extend Magical’s capabilities for specific customer use cases.Provide technical guidance and best practices to customers, ensuring smooth onboarding and adoption.Build relationships with customers to understand their workflow challenges and design tailored AI-powered automation solutions using Magical’s platform.Deploy, configure, and integrate Magical’s automation technology with customer environments, including CRMs, EHRs and loan origination systems.Act as the technical liaison between customers and Magical’s product and engineering teams, capturing feedback and driving improvements.Troubleshoot and resolve technical issues related to deployments, integrations, and performance optimization.Be a vocal member, helping the engineering team build internal tools and documentation to streamline future customer implementations.Identify opportunities for customers to expand their use of Magical’s platform, upselling additional solutions and driving account growth.Who You Are3+ years of experience in engineering, solutions engineering, QA engineering, or similar technical backgroundDeep AI prompting proficiencyA top project manager. You can wrangle something fuzzy into a project plan and you’ll do whatever is needed to make it happenFamiliarity with business process automation, workflow optimization, or AI-driven solutions is a plusAbility to manage multiple projects, engage with senior stakeholders, and communicate technical concepts in a clear and structured manner.Willingness and ability to travel to customer sites as required for setup and implementation.A self-starter with a strong ability to adapt, learn quickly, and thrive in a fast-paced, startup environment.Who We AreAt Magical, we empower organizations to automate the complex, manual workflows that are essential to their operations. These workflows are the backbone of industries that keep the world running, yet many organizations remain burdened by resource constraints and outdated manual processes, hindering their efficiency and innovation.Magical leverages AI and a purpose-built workflow automation platform to seamlessly transform long-form, multi-system workflows into fully autonomous processes. We enable teams to scale operations, reduce costs, and focus on what matters most.Backed by leading investors, including Coatue, Greylock, Lightspeed and Bain Capital Ventures, Magical is reimagining the future of work by equipping teams with the tools to unlock hidden inefficiencies, automate with precision and achieve unprecedented operational scale.

false

Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.About this roleAccelerate engineering velocity and reduce friction in the Replit development experience by stewarding our TypeScript monorepo, tooling, and developer workflows. You will be directly impacting all our engineers working in this monorepo daily. By focusing on developer experience, you will act as a force multiplier across all product development teams, enabling faster feature delivery, happier developers, and reduced operational overhead.The role combines the technical depth needed to navigate a complex monorepo with the product mindset to understand how infrastructure decisions impact developer productivity and ultimately customer value delivery.Additionally, you will be a key decision maker in the Agent’s default stack (Vite + React + Express) and will help the AI team with strategies to improve the Agent’s output and stack.This is a first hire in this area, so you will automatically be in a position of leadership and have an accelerated career path as the team undoubtedly grows.You will:Maintain and evolve a complex monorepo structure spanning frontend, backend, npm packages, and tooling.Own the build pipelines and optimize them to minimize build times and improve developer iteration speed.Improve and oversee code generation such as GraphQL and Protocol Buffers to ensure our code is type safe.Set the standards for code quality using automation tools such as TypeScript, Prettier and Eslint, building custom rules and plugins to enforce Replit-specific requirements.Streamline local development setup and onboarding experience.Work with platform teams to improve deployment processes, infrastructure integrations, and external tooling.Keep things fresh and modern in our codebase by adopting and leading migrations to better and faster tools.Help manage dependencies both internal (public and private) and external, including being the face of the company when interfacing with open-source libraries such as when it comes to sponsorships.Required skills and experience:Expertise in TypeScript build systems such as Vite, TypeScript, webpack, and so on.Proficiency with ESLint, Prettier, testing frameworks, and code generation tools.Experience managing monorepos or large-scale codebasesFull-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office Amenities Want to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED Talk Interviewing + Culture at ReplitOperating PrinciplesReasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday.

false

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. Program overviewAPX is Sierra’s rotational program to develop the next generation of AI builders.In the age of AI, we believe generalists with diverse training and experience will become more important and empowered than ever. Instead of specializing early in an engineering, product management, or business subfield, the next generation of AI leaders will be able to do everything it takes to create, ship, and distribute great products.As an APX, you’ll be among the first to live in this exciting future. You’ll build AI agents directly with top global brands and gain access to comprehensive training opportunities, both as an Agent Engineer and Agent Product Manager. If you’re hungry to shape and learn from the most important technological wave of our lifetimes, come build at Sierra.The APX program is open to students graduating from undergraduate or Master’s programs by June 2026.What you’ll doBuild and ship AI agents for Sierra’s customers in a fast-paced, production environment.Write code and design features that directly impact customer-facing agent performance.Learn how we build agents that operate at scale and evolve through real-world usage.Collaborate closely with engineers, product managers, and operators across the company.Participate in internal reviews and product discussions to push the boundaries of what agents can do.Preferred qualificationsPursuing a bachelor’s or Master’s degree (or comparable program) in Computer Science or a related field.Professional experience in software engineering or product management, especially with customer-facing responsibilities.Expertise in React, TypeScript, Python, Go, and other modern programming languages.Demonstrated curiosity and interest in AI applications (e.g., research, jobs, side projects).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.

false

Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role The Manufacturing Engineer in the mechatronic systems area plays a pivotal role in optimising production processes, ensuring the highest standards of quality, efficiency, and compliance for mechatronic systems, assemblies and components. This position focuses on the practical application of engineering principles to the factory floor, collaborating across multidisciplinary teams to bring innovative designs to fruition and maintain seamless operations. The day-to-day  Develop, evaluate, and continuously improve manufacturing processes to enhance efficiency, quality, and cost-effectiveness. • Design and implement manufacturing tools, equipment, and procedures, ensuring optimal workflow and equipment layout. • Collaborate closely with design, production, and quality teams to ensure the manufacturability of new products and adherence to specifications. • Support new product introductions (NPI) by developing production plans and assisting with prototypes. • Analyse production data to identify trends, address issues, and recommend process improvements. • Conduct root cause analysis for manufacturing issues and implement effective corrective actions to prevent recurrence. • Ensure strict compliance with aerospace industry standards, safety regulations, and quality management systems (e.g., AS9100). • Prepare and maintain detailed manufacturing documentation, including work instructions, routings, process specifications, and technical reports. • Apply Lean Manufacturing principles and Six Sigma methodologies to eliminate waste, improve productivity, and drive continuous improvement initiatives. • Provide technical guidance and support to the production team. You should apply if you • Bachelor's degree in Manufacturing Engineering, Aerospace Engineering, Mechanical Engineering, or a closely related field from an accredited institution. • 2-3+ years of experience in manufacturing engineering, preferably within the aerospace or defense industry. • Proficiency with CAD software (e.g., SolidWorks, CATIA, NX, Inventor) for designing and modifying parts and assemblies, and creating detailed 3D models and technical drawings. • Strong understanding of aerospace materials and processes, including composite materials and CNC machinery. • Knowledge of quality control standards, including statistical process control and inspection techniques. • Excellent problem-solving skills with an analytical mindset and attention to detail. • Strong verbal and written communication skills, with the ability to effectively collaborate across departments and document processes. • Familiarity with data analysis tools and manufacturing execution systems (MES). Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

false

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

false

Scale is growing rapidly and joining the International Public Sector team is an opportunity to join one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved: Building custom LLMs Providing high-quality training data for research institutions building LLMs from scratch Partnerships, up skilling, and advisor As an early member of our operations team, you will be accountable for driving millions in new revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will be leading the development of some of our custom LLM solutions or leading data production initiatives for premier research institutions in the Middle East. You will be solving complex operational problems and working cross functionally with our engineering teams, government stakeholders, and product orgs, to ensure high quality. The ideal candidate is scrappy, analytical, detail-oriented, empathetic, outcome-focused, a strong writer, and above all someone who drives and inspires results. You will: Work on cross-functional development of custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market) Consistently read AI/ML research papers to keep up-to-date on the best approaches for customizing / training LLMs Work on fine-tuning (post-training) data production pipelines to improve the custom LLM solutions as needed Work on the continuous evaluation of custom LLMs Drive the technical and operational partnership with research institutions Have native fluency in Arabic and English Build and drive some of our most critical operational processes Own the day-to-day delivery of customer commitments Ideally, you’d have: 2+ in an operational role and/or a top-tier consulting firm An undergraduate degree in computer science, business, engineering, systems, finance, logistics, communications, journalism, or a related field Strong attention to detail Strong writing and verbal communication skills, with an emphasis on grammar, proofreading and copy editing An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Analytical, planning, and process improvement capability Nice to haves: Hands-on experience in machine learning, especially in NLP (during a previous role or in school) Technical skills including familiarity with APIs, large language models, machine learning, and advanced querying languages  Ability to use SQL, Python, or other data analysis tools Entrepreneurial experience and mindset - you are excited about building things from scratch PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

false

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 doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

false

About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding engineer to push our platform to the next level. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll drive our product and team to new heights.Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 50; now, we’re over 100 and continuing to accelerate. What to expect High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. On the other hand, as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together, and you will have amazing team mates to get guidance and learn from.Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Are experienced: You have personally developed and maintained multiple systems from scratch or significantly contributed to major changes to existing systems. You know what trade offs are involved in building reliable, performant software at speed.Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply.We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required.Below is a detailed breakdown of all the technologies we use. - Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary, commission and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week.- Room to grow into anything you choose to — a year ago we were 50 people, now we're 100+. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle.- 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

false

About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding engineer to push our platform to the next level. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll drive our product and team to new heights.Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 50; now, we’re over 100 and continuing to accelerate. What to expect High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. On the other hand, as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together, and you will have amazing team mates to get guidance and learn from.Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Are experienced: You have personally developed and maintained multiple systems from scratch or significantly contributed to major changes to existing systems. You know what trade offs are involved in building reliable, performant software at speed.Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply.We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required.Below is a detailed breakdown of all the technologies we use. - Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary, commission and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week.- -Room to grow into anything you choose to — a year ago we were 50 people, now we're 100+. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle.- 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.