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Your New Role and TeamSanctuary AI, a world leader in building dexterity-driven Physical AI for general-purpose robots, is looking to hire an experienced and driven Application Engineer with deep domain expertise in traditional manufacturing automation. This position is part of our Engineering team and plays a key role in helping us bridge the gap between legacy automation systems and the future of Physical AI. Reporting to the Head of Product, you’ll apply your 15+ years of experience in factory automation to help apply best practices in task automation, to Sanctuary technology integration, and production-scale reliability. As one of our Application Engineers, you’ll work hands-on with our AI team, robotics engineers, and external partners to assess and scope automation tasks, identify opportunity areas, and advise on deployment considerations that align with real-world customer needs and constraints. Success CriteriaIdentify and map the types of tasks that are already well-served by traditional automation systems — and where gaps remain.Guide our team on best practices for automating physical work in environments like manufacturing, logistics, and packaging.Help us benchmark and validate the performance of our robotic systems against industrial-grade alternatives.Work with the engineering team to ensure task replicas in the lab accurately capture the essence and constraints of real-world customer tasks.Identify, and lead the development of, hybrid customer solutions that integrate both Sanctuary's AI and traditional automation tools (e.g., PLCs, sensors, and robotic arms) to maximize real-world effectiveness. Your ExperienceQualificationsBachelor’s Degree in Mechatronics, Electrical/Mechanical Engineering, or equivalent practical experience15+ years in application engineering, factory automation, or systems integrationDeep working knowledge of automation systems including PLCs, HMIs, sensors, and actuatorsStrong background in task design and throughput optimization15+ years designing or integrating factory automation systems using PLCs, vision systems, and robotic arms.Experience working with integrators, OEMs, or directly on plant floors. SkillsEffective communicator with both technical and non-technical audiencesSkilled in root-cause analysis and system-level debuggingFamiliar with both low-level control and high-level system orchestrationComfortable working cross-functionally in fast-paced environments TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectives.Successful candidates will be a proponent of personal responsibility for themselves and their teammates.Empathetic listener with conflict resolution capabilities.Consistent bias for action, communication, and interpersonal savvy.Self-motivated and able to solve problems independently.Mission driven and passionate about bringing human-like intelligence to machines.

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About the Team:The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI's product lines and many critical internal use cases. About the Role:We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.In this role you will:Design, build, and operate high-performance distributed systemsIdentify and resolve performance bottlenecks to scale infrastructure to the next order of magnitudeDefine long-term technical direction and guide system evolutionCollaborate with product, engineering, and research teams to deliver scalable and reliable infrastructureDig deep into complex production issues across the stackContribute to incident response, postmortems, and best practices for system reliabilityYou might thrive in this role if you:Have significant experience building, scaling, and optimizing distributed systems at scaleAre curious about database internals, storage engines, or low-latency query systemsEnjoy debugging challenging performance issues in complex, high-throughput systemsThink rigorously about scalability, correctness, and reliabilityThrive in fast-paced environments with high autonomy and impactQualifications:4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech leadExperience with distributed systems at scale, with a strong focus on performance, reliability, and scalabilityStrong communication skills and ability to collaborate across highly technical and cross-functional teamsProficiency in a systems programming language such as C++ (our core engine is written in C++) is strongly preferredDomain knowledge in areas such as databases, data systems, storage engines, indexing, and query processing is a plus but not requiredAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Your New Role and TeamSanctuary AI, a world leader in building AI-based control systems for humanoid robots, is looking to hire a Director, Product Development & Management to join our team. Reporting to the Chief Product & Technology Officer, this pivotal role will oversee the product management group, driving the development and execution of our product strategy. This role is ideal for a visionary leader who combines deep industry knowledge with a passion for innovative solutions.  Our Success CriteriaWork with leadership to develop and implement a comprehensive product strategy and roadmapLead, mentor, and develop a team of product and program managers, fostering a high-performance culture that delivers on ambitious goalsAlign product development initiatives with business goals and market needsThrive in ambiguity and bring structure to complexity. You’ve built processes, not just followed themSupport the product development team, ensuring timely delivery of high-quality productsCommunicate product vision, strategy, and progress to senior management and stakeholdersOversee the end-to-end product development lifecycle, from ideation to launchCollaborate with engineers, designers, and other technical teams to develop product specifications and ensure feasibilityUnderstand and contribute to the technical aspects of product developmentEnsure the product meets technical specifications and performance standardsDefine and track key performance indicators to measure successGather and analyze data to make informed decisions and drive continuous improvementManage product lifecycle, including updates, improvements, and end-of-life strategiesCollaborate with cross-functional teams (including engineering, marketing, sales, and customer support) to guide products from conception to launch Your ExperienceQualificationsDegree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field, OR equivalent experience in Technology Development and Productization  A minimum of 7+ years of experience leading cross-functional teams in the development of intelligent hardware systems such as robotics, automated machinery, or sensor-based platforms, with supporting experience in AI or real-time control softwareUnderstanding of machine learning, artificial intelligence, or robotics and their applications in a variety of industriesStrong leadership skills, with the ability to inspire and guide a team towards achieving strategic objectives; lead through dotted line relationships and cross functional collaborationExcellent communication and negotiation skills, with a knack for building and maintaining strong professional relationshipsStrategic thinker with an analytical mind, capable of making data-driven decisions and identifying new opportunities for innovation and collaboration SkillsIn-depth understanding of product development processes and technologiesAbility to guide and support the technical teamThe ability to articulate complex technical concepts and strategic visions clearly and persuasively to a diverse range of stakeholders, from technical experts to non-technical partnersInnovative mindset with an applied research orientationThe capacity to lead, motivate, and unite teams and partners around shared goals TraitsA consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectivesEmpathetic listener with conflict resolution capabilitiesConsistent bias for action, communication, and interpersonal savvySelf-motivated and able to solve problems independentlyMission driven and passionate about bringing human-like intelligence to machines

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Who We Are  PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. What You’ll Do:  Work with backend and frontend (i.e. Vue.js) technologies Drive architecture and implementation decisions across the full technology stack Collaborate with ML, design, product, frontend, and infrastructure teams Uphold high-quality standards via testing, code reviews, and CI/CD Mentor mid-level engineers across backend and frontend domains Ensure compliance when contributing to software regulated as medical devices What You'll Need 5+ years of software engineering experience Strong foundational knowledge in data structures, algorithms, and system design Experience deploying full-stack features and API integration Bachelor’s in CS or equivalent experience Curiosity and adaptability within complex technical environments   We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. What You’ll Do  Solve complex backend challenges using high-quality code Design, build, maintain, and evolve scalable backend services and APIs (e.g., FastAPI, Django REST) Define and own the architecture of large components and platforms Collaborate closely with ML, product, frontend, and infrastructure teams to deliver end-to-end systems Maintain excellence in testing, CI/CD, and code reviews Mentor senior and mid-level engineers, promoting best practices Contribute to software regulated as medical devices, ensuring quality and compliance What You’ll Need Bachelor’s degree in CS or equivalent experience 5+ years in backend development (full lifecycle delivery) Strong experience with FastAPI and/or Django REST framework Solid grasp of data structures, algorithms, and system design Experience with cloud-native systems (AWS preferred), containerization, and orchestration (e.g., Docker, Kubernetes) Proficiency with CI/CD platforms (e.g., GitLab CI, Docker pipelines) We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.   Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do Be scrappy to find new sources of audio data and bring it into our ingestion pipeline Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform. Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models. Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have BS/MS/PhD in Computer Science or a related field. 5+ years of industry experience in software development. Proficiency with bash/Python scripting in Linux environments Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP) Experience with web crawlers, large-scale data processing workflows is a plus Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal What we offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. What We Offer  A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering focus and creativity. The opportunity to have a significant impact in a revolutionary industry. Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture. The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain. Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Compensation: The US base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  Overview As Speechify expands, our AI team seeks a Senior Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we’d love to hear from you. What You’ll Do State of the art voice cloning Low latency and cost effective text to speech An Ideal Candidate Should Have Proven experience in backend development: Python Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers. Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering focus and creativity. The opportunity to have a significant impact in a revolutionary industry. Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture. The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain. Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking an exceptional AI Research Tech Lead to drive our research strategy and lead the development of our in-house Online LLMs, the Sonar models. In this leadership role, you will set the macro research direction across different modalities, mentor a team of researchers, and take advantage of our rich query/answer dataset to continue scaling our Sonar model performance and deliver the SOTA Online LLM experience to our users. Responsibilities Research Leadership & Strategy Define and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiatives Lead strategic research planning and roadmap development to advance Sonar model capabilities Drive innovation in supervised and reinforcement learning techniques for query answering Collaborate with leadership to align research priorities with product and business objectives Team Development & Mentorship Coach and mentor a team of AI research scientists and engineers, fostering their technical and professional growth Establish the long-term macro research direction across the team, including our direction across different modalities Lead hiring and onboarding of new research talent Create a collaborative environment that encourages knowledge sharing and innovation Technical Excellence Post-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniques Own and optimize the full stack data, training, and evaluation pipelines required for LLM post-training Deliver Sonar models that provide SOTA query answering performance Drive research into agent trajectories and multi-modal capabilities Lead the technical roadmap for eventual mid-training investments Cross-Functional Collaboration Work closely with engineering teams to integrate Sonar models into our product Partner with product teams to understand user needs and translate them into research priorities Collaborate with data teams to leverage our unique query/answer dataset effectively Communicate research progress and findings to stakeholders across the organization Qualifications Required Minimum of 5 years of experience working on relevant AI/ML projects with 3**+ years in a technical leadership role** Proven track record of leading and mentoring technical and research teams A Computer Science graduate degree at a premier academic intitution Deep expertise with large-scale LLMs and Deep Learning systems Strong programming skills with versatility across multiple languages and frameworks Demonstrated ability to set technical vision and drive execution Experience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO) Self-starter with exceptional ownership mentality and ability to work in ambiguous environments Passion for solving challenging problems and pushing the boundaries of AI research Nice-to-have PhD in Machine Learning, Computer Science, or related areas Experience with agent-based AI systems and multi-modal model development Background in mid-training or pre-training of large language models Publications in top-tier AI/ML conferences Experience in fast-paced startup environments Track record of translating research into production systems Compensation & Benefits Our cash compensation range for this role is $370,000 - $460,000. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Open Source First: All our platform and core technology is open sourceResearch-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewThe Research Scientist will be an integral part of Oumi's research team, focusing on advancing the state-of-the-art in large language models (LLMs), vision language models (VLMs), and related technologies. This role involves conducting cutting-edge research, contributing to open-source projects, and collaborating with other researchers and engineers. Researchers at Oumi will work on various aspects of LLM/VLM development including training, evaluation, data curation, and benchmark development.What you’ll do:Model Development: Conduct research on training and evaluating new Large language models (LLMs), Vision Language Models (VLMs), and other AI models. This includes exploring new architectures, training techniques, and optimization methods.Data Curation: Develop methodologies for curating high-quality datasets for training and evaluating LLMs. This may involve data synthesis and other novel techniques.Benchmark Development: Develop evaluation benchmarks to measure the performance of LLMs across various tasks and domains.Research and Experimentation: Design and conduct experiments to validate research hypotheses and improve model performance.Open Source Contribution: Contribute to the Oumi open-source platform, models and projects, and other relevant tools and libraries.Collaboration: Collaborate with other researchers, engineers, and the broader community to advance the field of open-source AI.Publication: Publish research findings in leading conferences and journals.Platform Evaluation: Evaluate existing models and identify areas of improvement.Flexibility: Work with various models, including text and multimodal models, and both open and closed models.Problem Solving: Focus on the research that matters by skipping the plumbing and moving straight to research, building on the work of others and contributing back.What you’ll bring:Education: A Ph.D. or MSc. in computer science, machine learning, artificial intelligence, or a related field is preferred. Candidates with a strong publication record, or equivalent industry experience will be considered.Research Experience: Demonstrated experience in conducting original research in machine learning, with a strong publication record in top-tier conferences or journals.ML Expertise: Deep understanding of machine learning and deep learning concepts, with specific knowledge of large language models (LLMs) and/or vision language models (VLMs).Programming Skills: Strong programming skills in Python and experience using deep learning frameworks (e.g. PyTorch).Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Initiative: A self-starter who can work independently and take ownership of initiatives.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.BenefitsCompetitive salary: $100,000 - $220,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and events

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewWe're seeking an exceptional Full Stack Engineer with strong frontend expertise to architect and build sophisticated, interactive web interfaces for our AI platform. You'll create responsive, high-performance UIs that handle complex data flows and real-time visualizations, working within a full-stack environment, but with particular emphasis on advanced frontend development.What you'll do:Full-Stack Development: Build robust, high-performance web applications using Python/TypeScript for backend development and TypeScript for frontend components UI Architecture: Design and implement scalable, component-based frontend architectures that support highly interactive, data-rich AI workspaces and dashboardsBackend Integration: Develop and consume REST/GraphQL APIs that support complex frontend requirements while maintaining clean separation of concernsDynamic Visualization: Create advanced, real-time data visualizations that enable users to understand and interact with complex AI models and datasetsWhat you’ll bring:Experience: Proven experience building complex, interactive web applications that handle sophisticated data flows and user interactionsFull-Stack Expertise: Expert-level proficiency with React and TypeScript, including advanced patterns for performance optimization and state managementScale & Performance: Demonstrated ability to build and optimize frontends that maintain responsiveness under heavy data loadsCommunication: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.Bonus points: Contribution to open-source UI libraries, experience with AI/ML visualization tools, Rust for performance-critical componentsD3.js or other data visualization libraries, WebGL, CI/CD for frontend applicationsStrong experience with state management (Zustand/Redux/TanStack Query/NgRx)Experience with Python (FastAPI/Flask/Django), RESTful API design, and understanding of cloud architecture (AWS/GCP/Azure)BenefitsCompetitive salary: €30,000 - €60,000Equity in a high-growth startupRegular team offsites and events

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Open Source First: All our platform and core technology is open sourceResearch-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewThe ML Engineer will be a crucial part of the team, working to build and maintain the infrastructure that powers Oumi's open AI platform. This role combines platform engineering with machine learning expertise, focusing on creating a reliable and scalable environment for open AI development. As an open-source project and platform, code excellence is key to ensure stability for our thousands of users with access and active contribution to state of the art research on our platform.What you'll do:Training Infrastructure: Design, develop, and maintain the core platform infrastructure for Oumi, ensuring it is robust, scalable, and efficient for AI model development, training and deployment.ML Pipeline Implementation: Implement and optimize machine learning pipelines, including data preparation, model training, evaluation, and deployment.Scalability: Design and implement solutions for scaling the platform to handle large datasets and models, ensuring it can meet the needs of the community.Performance Optimization: Identify and resolve performance bottlenecks in the platform and ML pipelines, ensuring smooth execution and rapid iteration.Automation: Automate infrastructure provisioning, deployment, and monitoring processes to ensure high reliability and efficiency.Collaboration: Work closely with the research and engineering teams to support their development workflows and ensure the platform meets their needs.Open Source Contribution: Contribute to and help guide the development of Oumi's open-source platform and models.What you’ll bring:Experience: Proven experience in platform engineering, DevOps, or related fields, with a strong understanding of infrastructure-as-code and cloud technologies.ML Knowledge: Solid understanding of machine learning concepts and experience with ML workflows, including data preparation, model training, and evaluation.Programming Skills: Proficiency in programming languages such as Python, with experience in software development practices.Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.Scalability: Experience in designing scalable systems and implementing distributed computing architectures.Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.BenefitsCompetitive salary: €30,000 - €60,000Equity in a high-growth startupRegular team offsites and events

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Open Source First: All our platform and core technology is open sourceResearch-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewThe ML Engineer will be a crucial part of the team, working to build and maintain the infrastructure that powers Oumi's open AI platform. This role combines platform engineering with machine learning expertise, focusing on creating a reliable and scalable environment for open AI development. As an open-source project and platform, code excellence is key to ensure stability for our thousands of users with access and active contribution to state of the art research on our platform.What you'll do:Training Infrastructure: Design, develop, and maintain the core platform infrastructure for Oumi, ensuring it is robust, scalable, and efficient for AI model development, training and deployment.ML Pipeline Implementation: Implement and optimize machine learning pipelines, including data preparation, model training, evaluation, and deployment.Scalability: Design and implement solutions for scaling the platform to handle large datasets and models, ensuring it can meet the needs of the community.Performance Optimization: Identify and resolve performance bottlenecks in the platform and ML pipelines, ensuring smooth execution and rapid iteration.Automation: Automate infrastructure provisioning, deployment, and monitoring processes to ensure high reliability and efficiency.Collaboration: Work closely with the research and engineering teams to support their development workflows and ensure the platform meets their needs.Open Source Contribution: Contribute to and help guide the development of Oumi's open-source platform and models.What you’ll bring:Experience: Proven experience in platform engineering, DevOps, or related fields, with a strong understanding of infrastructure-as-code and cloud technologies.ML Knowledge: Solid understanding of machine learning concepts and experience with ML workflows, including data preparation, model training, and evaluation.Programming Skills: Proficiency in programming languages such as Python, with experience in software development practices.Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.Scalability: Experience in designing scalable systems and implementing distributed computing architectures.Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.BenefitsCompetitive salary: $100,000 - $220,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and events

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About the RoleLuma is pushing the boundaries of generative AI, building tools that redefine how visual content is created. We’re seeking a candidate to help shape and scale the way we understand, measure, and improve model performance. In this role, you’ll partner with researchers, engineers, and technical artists to evaluate our models against real-world creative use cases, design frameworks that capture qualitative nuance, and identify actionable insights that guide development.This is not a checkbox metrics role — it's about building evaluative systems that match the complexity of human perception, creativity, and intention.ResponsibilitiesEvaluate generative model performance across diverse tasks, prompts, and modalities. Identify key failure modes, regression patterns, and edge cases that impact product quality. Develop and maintain qualitative evaluation frameworks that are scalable and reusable. Collaborate closely with technical artists and engineers to align evaluations with model capabilities and target use cases. Translate high-level product goals into concrete evaluative criteria. Lead qualitative studies, side-by-side comparisons, and human-in-the-loop evaluation efforts. Provide detailed feedback that informs model fine-tuning, dataset curation, and product UX. Stay informed about emerging evaluation standards in generative AI and creative tools. QualificationsMaster’s degree or higher in Cognitive Science, Human-Computer Interaction (HCI), Design Research, Psychology, Media Studies, or a related field. 5+ years of experience in product evaluation, UX research, model testing, or similar roles that involve structured qualitative assessment. Deep familiarity with creative workflows and real-world use cases for generative models (e.g., animation, filmmaking, digital art, VFX). Strong systems thinking and the ability to define abstract qualities (like believability, identity retention, or scene coherence) in clear evaluative terms. Experience working cross-functionally with engineers, researchers, and creatives. Excellent written communication skills and the ability to synthesize nuanced judgments into clear, actionable insights. Nice to HaveBackground in motion, visual effects, or storytelling pipelines Experience evaluating AI-generated media (video, images, 3D) Prior work on building internal tools for qualitative data collection or scoring Familiarity with prompt engineering and reference-based input methods

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InterfaceAbout UsMission We believe generative AI's true potential goes beyond improving interactions between humans and machines; it's set to revolutionize human-to-human communication. We're introducing a smarter way to communicate that will help us tap into our most original creations, together with our people.Team Interface, Inc. is founded by the same minds behind Jour, which was acquired by Alan in 2021, and new talents equally committed to our mission. We’re a small team of 30 today.How We WorkAt Interface, we thrive in building beautiful products, used and loved by millions. We design with the user at the forefront - going beyond mere functionality to create magical experiences. We're obsessed with pixel-perfect delivery, high daily usage, and world-class retention. These principles steer our behaviors, decision-making, and set our leadership expectations. In our team, transparent communication, deep ownership, and high velocity are lived values. Joining Heart Hands means becoming part of a track-proven team focused on cutting-edge products, backed by top-tier investors. We offer an ecosystem where you can grow both your individual contribution and strategic thinking.The PositionAs a Senior Backend Engineer, you will play a critical role having complete ownership in the design, development, and implementation of a robust and scalable backend & infrastructure used by our mobile clients, but also in supporting the development of our second brain. You will make a significant impact on shaping the services and features that will bring our product to life and will be used by millions.What You'll DoWrite simple, high quality code that can easily be understood and leveraged by others Lead full life cycle design & implementation of product requirements, which includes task break-down, delivering, testing, and maintenance Collaborate closely with the product and the rest of the engineering team to transform product and feature specifications into a reality (we ship on a daily basis).Example of Desirable Skills, Knowledge and ExperienceYou have strong knowledge, solid understanding, and interest in the following areas: Minimum 5 years professional experience in a backend language (preferably Golang). Interest in Rust is a plus. Programming, architecture, database design, and operations skills Scaling a distributed system & the corresponding constraints and trade-offs of operating at scale Familiarity designing event-driven architected backend (message queues, event streaming)Asynchronous processing, concurrency, parallelism Solid grasp of how gRPC, HTTP, TCP, UDP work ○ Strong believer of CI/CD (Docker, GitHub Actions, AWS Fargate) Observability tools, monitoring, alerting (Datadog, Grafana, Prometheus) You’re a self-starter who can quickly roll out quality code and build out simple systems You have experience working in a fast paced startup environment You are are excited by the prospect of working on an AI product You’re humble and biased to action, with a “no task is too small” mindset You are able to adapt and thrive with an early stage team while navigating the unknown You think like an owner and can prioritize what’s best for the company You like to keep things simple and not get too caught up in the weeds You like to be challenged and see this role as a growth opportunity Being nice matters to you, and you’re a self-proclaimed championThe Selection ProcessSilver.dev Recruiter ScreenSilver.dev Technical ScreenCultural Screening with People LeadTechnical Deep Dive Screening with CTOTake-home ChallengeTake-home Challenge Review Call with Engineering TeamBehavioral Screening with CEO

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role You’ll be part of a team who’s building the backbone of our airborne software validation environment. As a Simulation Engineer, you’ll write tools that let engineers to rigorously test AI and autonomy before flight. Your work ensures our AI behaves predictably and safely – even in edge cases – accelerating how we bring real aircraft to life. The day-to-day Design and develop modules in simulation/validation frameworks Write Rust code for high-performance simulation Build tools for automated test coverage and fault injection Work closely with different teams to capture requirements Debug and profile simulation performance Maintain documentation and testing infrastructure You should apply if you Write modern, maintainable code Have experience in simulation, testing or robotics frameworks Are comfortable with complex systems and concurrency Care about reliability, performance and safety Like working on the interface between software and hardware Are motivated by fast feedback loops and real impact 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. Nice to Have Aerospace or automotive background Hardware-in-the-loop or real-time simulation experience Experience building test rigs Knowledge of flight dynamics or control systems Familiarity with CI/CD for simulation systems Exposure to AI/ML systems testing Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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About 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: The Solution Engineer role sits within the GTM organisation within the EMEA region; making you a trusted technical advisor of the local sales team, our partners, and our customers. You will work on many exciting projects with some of the most future-forward organisations; helping to guide the beginning of their Generative AI journeys. At Glean, our Solution Engineers work with our customers to help them connect Glean to their most important decision-making platforms. These platforms include Microsoft 365, Google Workspace, Jira, Confluence, Slack, GitHub, Zendesk, and everything in between! As an SE, you will work closely with our local Account Executives (AEs) and will be responsible for the technical success and delivery of our sales opportunities.  You will: Performing interactive demonstrations of the Glean platform to prospective customers. Educating the technical teams of our prospective customers on the architecture of the Glean platform. Specifically, articulating the “how” of how our solution works in the context of the customer landscape. Scoping and executing sponsored pilot and Proof of Value (PoV) exercises to ensure the technical requirements and business objectives that the Glean solution provides are validated. Educating and training our customers and partners on our product to ensure that they are set up for success. Presenting at company sponsored events such as Google Cloud Next and AWS re:invent. Liaising with Glean product managers and engineers to investigate issues, raise feature requests, and understand our future roadmap. About You: You will have a bachelor's degree in Engineering, Computer Science, Information Technology, or a related field (or equivalent work experience).  At least 5+ years experience in enterprise software pre-sales and have used value-based discovery frameworks. You possess excellent analytical and problem-solving skills with the ability to handle complex technical challenges. You are able to explain complex technical concepts in layman’s terms to help educate and train our customers, prospects, and partners. You are comfortable presenting, both virtually and in-person, Familiarity with cloud infrastructure (IaaS) platforms such as GCP, AWS, and Azure. Familiarity with identity services and Single Sign-On (SSO) providers such as Azure/Entra ID, Okta, and protocols such as SAML, SCIM, and OIDC. Familiarity with APIs including sending and receiving data from API endpoints, and how to troubleshoot issues Familiarity with security concepts and tools, e.g. Firewalls, VPNs, SSL/TLS, DLP, WAFs, and proxies. Location: London (The role is remote) We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-REMOTE

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BrighthireTier 1 Support Engineer Role Overview As a Tier 1 Support Engineer, you are the first line of support engineer when customers encounter issues. Your rapid investigations and clear communication ensure users stay productive and confident in BrightHire. By resolving problems, or routing them to the right people, you keep our service reliable and our customers delighted. Key Responsibilities Receive escalated support tickets and investigate using documentation, admin tooling, codebase, and SQL. Diagnose issues, decide whether to answer, fix, or escalate, and follow through to resolution. Prioritize concurrent requests and provide timely status updates to customers and internal teams. Update internal help articles and knowledge bases to reflect common solutions. Add or refine simple features in the admin portal with Python, SQL, and JavaScript. Expand our internal AI chatbot by tuning prompts, enhancing capabilities, keeping documentation up to date, and ingesting new knowledge sources. Required Qualifications Junior-level software engineering skills in Python, JavaScript/TypeScript, and SQL. Strong debugging mindset with comfort reading logs, stack traces, and database queries. Proven ability to prioritize tasks and manage time independently. Excellent written and verbal English for professional, empathetic communication. Based in South America with reliable internet and working hours between US Eastern and US Pacific Time. Nice-to-Have Skills Experience in B2B SaaS or recruiting/HR technology environments. Familiarity with ticketing and observability tools such as Linear, Zendesk, Jira, or Datadog. Exposure to AI/LLM tools or maintaining conversational chatbots.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleAs the founding Customer Enablement Lead, you will be the driving force behind building and scaling Decagon's Customer Enablement function. This is a unique opportunity to lay the foundation for programs that help our customers deeply understand and effectively use the Decagon platform. You'll combine your product expertise with a passion for teaching and customer service, ensuring every customer you engage with is set up for success.You’ll be the key partner to both the Solutions Engineering (pre-sales) and Agent Product Management (post-sales) teams, working hand-in-hand to craft a seamless, empowering customer journey from onboarding through long-term adoption.This role requires a balance of creativity, program design, cross-functional collaboration, and hands-on customer engagement. The ideal candidate is a strong communicator who thrives in fast-paced environments and loves wearing multiple hats. ResponsibilitiesDesign, develop, and deliver training programs that empower customers to confidently use and grow their capabilities within the Decagon platform.Lead training for key customers to drive rapid adoption, build customer confidence, and reduce time to value.Own development and orchestration of Decagon University, our digital customer enablement and certification program currently in its early stages.Provide continued enablement touchpoints, including refresher training and feature updates, to ensure customers remain engaged and up-to-date on platform capabilities.Partner closely with Solutions Engineering, Agent Product Management, and Product Marketing to align customer training with evolving product functionality and customer needs.Build and continuously update a library of enablement materials – including articles, videos, and guides – to support customer training and ongoing success.Be the voice of the customer enablement experience internally – proactively identify gaps, synthesize feedback, and drive continuous improvement of the enablement program.Manage multiple customer engagements simultaneously while maintaining a high bar for quality, communication, and responsiveness.You may be a good fit if you have4+ years of experience in a customer-facing enablement, customer success, or onboarding role, ideally in B2B SaaS.A strong passion for teaching, with the ability to make complex products approachable and intuitive for diverse customer audiences.Exceptional communication skills – written, verbal, and presentation – and proven experience simplifying complex concepts.Demonstrated ability to thrive in a high-growth, fast-paced environment with multiple concurrent priorities.A collaborative mindset with a knack for partnering cross-functionally and influencing without authority.Even betterExperience launching customer enablement programs from scratch.Familiarity with conversational AI tools or agent deployment. Background in supporting or working with pre-sales and post-sales teams in a high-growth startup.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$180K – $230K + Offers Equity

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📐 About this roleGreat writing, for everyone. It’s our vision for WRITER, and our customers’ vision for their teams. We’re looking for an enterprise support engineer, whose top priority is helping our developer personas and technical users succeed with WRITER. We need someone who’s comfortable working in a complex and ambiguous environment, capable of driving impactful value across our customer’s business. You’ll act as a leading voice for our enterprise support function, both internally to the business, and externally to the customer. You’ll handle intricate customer issues directly, and also work internally to answer internal requests and increase our ability to fix issues quickly and effectively. You'll work with Customer Success & Education, Product, Engineering, and Sales to create great experiences and help customers get the most out of the platform. You'll report to the manager of support engineering.🦸 Your responsibilities• Provide excellent technical support, acting as product subject matter expert• Triage and resolve customer production issues through Salesforce, email, Slack, and Zoom• Support technical end users with debugging and refining custom-built python and no-code agents• Work closely with product and engineering to escalate and resolve deeper technical issues.Act as Tier 2 advanced support to monitor and tackle complex production issues through our monitoring alerts• Gather and share platform feedback and feature requests with product‌ and design teams⭐ Is this you?We’re looking for a support engineer who's extremely comfortable working in a fast-paced, constantly evolving environment. Someone who exudes perseverance and drive, operates with an owner’s mindset, and prioritizes both attention to detail and creative problem solving. A sense of urgency and a willingness to get the job done are essential traits at WRITER.• Minimum of 5+ years providing technical support for an enterprise B2B SaaS organization• Comfortable navigating cloud tech (AWS/GCP), Python, SDKs, SSO/SCIM, Jira, Grafana, Datadog• Strong skills in RESTful API debugging, integration, and usage• Enjoy working on-screen with customers to overcome product issues• Excellent writing and communication skills are essential ✍️• Experience working with GenAI/LLMs is a huge bonus 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. The Role We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments. Location: Bangalore Experience : 3+ Responsibilities Collect, process, and analyze large datasets from multiple sources Build and deploy machine learning models to solve business problems Design and implement A/B tests and statistical analyses Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements Communicate complex data insights in a clear and actionable manner to stakeholders Develop dashboards and visualizations to monitor key metrics Stay current with the latest trends and technologies in data science and AI Required Skills & Qualifications Bachelor’s/Master’s degree in Computer Science, Mathematics, Statistics, or related field 2+ years of proven experience as a Data Scientist or Data Analyst Strong knowledge of Python/R and SQL Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)  Experience with big data tools (e.g., Spark, Hadoop) is a plus Familiarity with data visualization tools Strong analytical, problem-solving, and communication skills Preferred Skills & Qualifications Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc) Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows.  Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.